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<h1><a href="bigquery_v2.html">BigQuery API</a> . <a href="bigquery_v2.tables.html">tables</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#delete">delete(projectId, datasetId, tableId)</a></code></p>
<p class="firstline">Deletes the table specified by tableId from the dataset. If the table contains data, all the data will be deleted.</p>
<p class="toc_element">
  <code><a href="#get">get(projectId, datasetId, tableId, selectedFields=None)</a></code></p>
<p class="firstline">Gets the specified table resource by table ID. This method does not return the data in the table, it only returns the table resource, which describes the structure of this table.</p>
<p class="toc_element">
  <code><a href="#insert">insert(projectId, datasetId, body)</a></code></p>
<p class="firstline">Creates a new, empty table in the dataset.</p>
<p class="toc_element">
  <code><a href="#list">list(projectId, datasetId, pageToken=None, maxResults=None)</a></code></p>
<p class="firstline">Lists all tables in the specified dataset. Requires the READER dataset role.</p>
<p class="toc_element">
  <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
  <code><a href="#patch">patch(projectId, datasetId, tableId, body)</a></code></p>
<p class="firstline">Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource. This method supports patch semantics.</p>
<p class="toc_element">
  <code><a href="#update">update(projectId, datasetId, tableId, body)</a></code></p>
<p class="firstline">Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="delete">delete(projectId, datasetId, tableId)</code>
  <pre>Deletes the table specified by tableId from the dataset. If the table contains data, all the data will be deleted.

Args:
  projectId: string, Project ID of the table to delete (required)
  datasetId: string, Dataset ID of the table to delete (required)
  tableId: string, Table ID of the table to delete (required)
</pre>
</div>

<div class="method">
    <code class="details" id="get">get(projectId, datasetId, tableId, selectedFields=None)</code>
  <pre>Gets the specified table resource by table ID. This method does not return the data in the table, it only returns the table resource, which describes the structure of this table.

Args:
  projectId: string, Project ID of the requested table (required)
  datasetId: string, Dataset ID of the requested table (required)
  tableId: string, Table ID of the requested table (required)
  selectedFields: string, List of fields to return (comma-separated). If unspecified, all fields are returned

Returns:
  An object of the form:

    {
      "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
      "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
        "a_key": "A String",
      },
      "materializedView": { # [Optional] Materialized view definition.
        "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
        "query": "A String", # [Required] A query whose result is persisted.
      },
      "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
      "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
        "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
        "requirePartitionFilter": True or False,
        "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
      },
      "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
      "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
        "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
          "A String",
        ],
      },
      "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
        "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
        "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
        "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
      },
      "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
        "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
          "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
          "interval": "A String", # [TrustedTester] [Required] The width of each interval.
          "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
        },
      },
      "tableReference": { # [Required] Reference describing the ID of this table.
        "projectId": "A String", # [Required] The ID of the project containing this table.
        "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
        "datasetId": "A String", # [Required] The ID of the dataset containing this table.
      },
      "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
      "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
      "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
      "friendlyName": "A String", # [Optional] A descriptive name for this table.
      "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
      "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
      "schema": { # [Optional] Describes the schema of this table.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
      "description": "A String", # [Optional] A user-friendly description of this table.
      "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
      "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
      "kind": "bigquery#table", # [Output-only] The type of the resource.
      "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
      "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
        "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
      },
      "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
      "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
        "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
          {
            "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
            "iterationResults": [ # [Output-only, Beta] List of each iteration results.
              {
                "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
                "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
                "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
                "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
                "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
              },
            ],
            "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
            "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
              "learnRateStrategy": "A String",
              "l1Reg": 3.14,
              "lineSearchInitLearnRate": 3.14,
              "warmStart": True or False,
              "maxIteration": "A String",
              "learnRate": 3.14,
              "earlyStop": True or False,
              "minRelProgress": 3.14,
              "l2Reg": 3.14,
            },
          },
        ],
        "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
          "labels": [
            "A String",
          ],
          "lossType": "A String",
          "modelType": "A String",
        },
      },
      "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
        "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
          "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
          "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
          "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
          "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
          "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
        },
        "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
        "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
        "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
          "A String",
        ],
        "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
          "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
          "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
          "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
            {
              "familyId": "A String", # Identifier of the column family.
              "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
              "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
              "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
                {
                  "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                  "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                  "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                  "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                  "qualifierString": "A String",
                  "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
                },
              ],
              "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
            },
          ],
        },
        "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
        "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
          "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
        },
        "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
          "fields": [ # Describes the fields in a table.
            {
              "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
              "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
                # Object with schema name: TableFieldSchema
              ],
              "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
              "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
              "categories": { # [Optional] The categories attached to this field, used for field-level access control.
                "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                  "A String",
                ],
              },
              "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
            },
          ],
        },
      },
      "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
      "view": { # [Optional] The view definition.
        "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
        "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
        "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
          {
            "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
            "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
          },
        ],
      },
    }</pre>
</div>

<div class="method">
    <code class="details" id="insert">insert(projectId, datasetId, body)</code>
  <pre>Creates a new, empty table in the dataset.

Args:
  projectId: string, Project ID of the new table (required)
  datasetId: string, Dataset ID of the new table (required)
  body: object, The request body. (required)
    The object takes the form of:

{
    "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
    "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
      "a_key": "A String",
    },
    "materializedView": { # [Optional] Materialized view definition.
      "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
      "query": "A String", # [Required] A query whose result is persisted.
    },
    "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
    "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
      "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
      "requirePartitionFilter": True or False,
      "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    },
    "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
    "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
      "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
        "A String",
      ],
    },
    "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
      "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
      "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
      "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
    },
    "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
      "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
        "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
        "interval": "A String", # [TrustedTester] [Required] The width of each interval.
        "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
      },
    },
    "tableReference": { # [Required] Reference describing the ID of this table.
      "projectId": "A String", # [Required] The ID of the project containing this table.
      "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
      "datasetId": "A String", # [Required] The ID of the dataset containing this table.
    },
    "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
    "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
    "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
    "friendlyName": "A String", # [Optional] A descriptive name for this table.
    "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
    "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
    "schema": { # [Optional] Describes the schema of this table.
      "fields": [ # Describes the fields in a table.
        {
          "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
          "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
            # Object with schema name: TableFieldSchema
          ],
          "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
          "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
          "categories": { # [Optional] The categories attached to this field, used for field-level access control.
            "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
              "A String",
            ],
          },
          "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
        },
      ],
    },
    "description": "A String", # [Optional] A user-friendly description of this table.
    "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
    "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
    "kind": "bigquery#table", # [Output-only] The type of the resource.
    "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
    "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
      "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    },
    "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
    "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
      "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
        {
          "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
          "iterationResults": [ # [Output-only, Beta] List of each iteration results.
            {
              "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
              "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
              "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
              "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
              "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
            },
          ],
          "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
          "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
            "learnRateStrategy": "A String",
            "l1Reg": 3.14,
            "lineSearchInitLearnRate": 3.14,
            "warmStart": True or False,
            "maxIteration": "A String",
            "learnRate": 3.14,
            "earlyStop": True or False,
            "minRelProgress": 3.14,
            "l2Reg": 3.14,
          },
        },
      ],
      "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
        "labels": [
          "A String",
        ],
        "lossType": "A String",
        "modelType": "A String",
      },
    },
    "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
      "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
        "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
        "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
        "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
        "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
        "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
      },
      "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
      "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
      "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
      "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
        "A String",
      ],
      "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
        "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
        "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
        "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
          {
            "familyId": "A String", # Identifier of the column family.
            "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
            "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
            "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
              {
                "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                "qualifierString": "A String",
                "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
              },
            ],
            "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
          },
        ],
      },
      "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
      "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
        "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
      },
      "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
    },
    "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
    "view": { # [Optional] The view definition.
      "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
      "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
      "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
        {
          "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
          "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
        },
      ],
    },
  }


Returns:
  An object of the form:

    {
      "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
      "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
        "a_key": "A String",
      },
      "materializedView": { # [Optional] Materialized view definition.
        "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
        "query": "A String", # [Required] A query whose result is persisted.
      },
      "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
      "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
        "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
        "requirePartitionFilter": True or False,
        "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
      },
      "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
      "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
        "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
          "A String",
        ],
      },
      "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
        "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
        "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
        "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
      },
      "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
        "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
          "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
          "interval": "A String", # [TrustedTester] [Required] The width of each interval.
          "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
        },
      },
      "tableReference": { # [Required] Reference describing the ID of this table.
        "projectId": "A String", # [Required] The ID of the project containing this table.
        "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
        "datasetId": "A String", # [Required] The ID of the dataset containing this table.
      },
      "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
      "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
      "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
      "friendlyName": "A String", # [Optional] A descriptive name for this table.
      "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
      "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
      "schema": { # [Optional] Describes the schema of this table.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
      "description": "A String", # [Optional] A user-friendly description of this table.
      "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
      "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
      "kind": "bigquery#table", # [Output-only] The type of the resource.
      "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
      "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
        "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
      },
      "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
      "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
        "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
          {
            "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
            "iterationResults": [ # [Output-only, Beta] List of each iteration results.
              {
                "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
                "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
                "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
                "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
                "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
              },
            ],
            "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
            "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
              "learnRateStrategy": "A String",
              "l1Reg": 3.14,
              "lineSearchInitLearnRate": 3.14,
              "warmStart": True or False,
              "maxIteration": "A String",
              "learnRate": 3.14,
              "earlyStop": True or False,
              "minRelProgress": 3.14,
              "l2Reg": 3.14,
            },
          },
        ],
        "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
          "labels": [
            "A String",
          ],
          "lossType": "A String",
          "modelType": "A String",
        },
      },
      "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
        "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
          "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
          "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
          "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
          "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
          "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
        },
        "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
        "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
        "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
          "A String",
        ],
        "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
          "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
          "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
          "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
            {
              "familyId": "A String", # Identifier of the column family.
              "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
              "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
              "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
                {
                  "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                  "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                  "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                  "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                  "qualifierString": "A String",
                  "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
                },
              ],
              "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
            },
          ],
        },
        "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
        "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
          "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
        },
        "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
          "fields": [ # Describes the fields in a table.
            {
              "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
              "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
                # Object with schema name: TableFieldSchema
              ],
              "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
              "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
              "categories": { # [Optional] The categories attached to this field, used for field-level access control.
                "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                  "A String",
                ],
              },
              "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
            },
          ],
        },
      },
      "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
      "view": { # [Optional] The view definition.
        "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
        "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
        "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
          {
            "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
            "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
          },
        ],
      },
    }</pre>
</div>

<div class="method">
    <code class="details" id="list">list(projectId, datasetId, pageToken=None, maxResults=None)</code>
  <pre>Lists all tables in the specified dataset. Requires the READER dataset role.

Args:
  projectId: string, Project ID of the tables to list (required)
  datasetId: string, Dataset ID of the tables to list (required)
  pageToken: string, Page token, returned by a previous call, to request the next page of results
  maxResults: integer, Maximum number of results to return

Returns:
  An object of the form:

    {
    "nextPageToken": "A String", # A token to request the next page of results.
    "totalItems": 42, # The total number of tables in the dataset.
    "kind": "bigquery#tableList", # The type of list.
    "etag": "A String", # A hash of this page of results.
    "tables": [ # Tables in the requested dataset.
      {
        "clustering": { # [Beta] Clustering specification for this table, if configured.
          "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
            "A String",
          ],
        },
        "kind": "bigquery#table", # The resource type.
        "labels": { # The labels associated with this table. You can use these to organize and group your tables.
          "a_key": "A String",
        },
        "creationTime": "A String", # The time when this table was created, in milliseconds since the epoch.
        "id": "A String", # An opaque ID of the table
        "friendlyName": "A String", # The user-friendly name for this table.
        "timePartitioning": { # The time-based partitioning specification for this table, if configured.
          "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
          "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
          "requirePartitionFilter": True or False,
          "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
        },
        "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed.
        "type": "A String", # The type of table. Possible values are: TABLE, VIEW.
        "tableReference": { # A reference uniquely identifying the table.
          "projectId": "A String", # [Required] The ID of the project containing this table.
          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
        },
        "view": { # Additional details for a view.
          "useLegacySql": True or False, # True if view is defined in legacy SQL dialect, false if in standard SQL.
        },
      },
    ],
  }</pre>
</div>

<div class="method">
    <code class="details" id="list_next">list_next(previous_request, previous_response)</code>
  <pre>Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.
    </pre>
</div>

<div class="method">
    <code class="details" id="patch">patch(projectId, datasetId, tableId, body)</code>
  <pre>Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource. This method supports patch semantics.

Args:
  projectId: string, Project ID of the table to update (required)
  datasetId: string, Dataset ID of the table to update (required)
  tableId: string, Table ID of the table to update (required)
  body: object, The request body. (required)
    The object takes the form of:

{
    "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
    "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
      "a_key": "A String",
    },
    "materializedView": { # [Optional] Materialized view definition.
      "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
      "query": "A String", # [Required] A query whose result is persisted.
    },
    "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
    "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
      "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
      "requirePartitionFilter": True or False,
      "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    },
    "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
    "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
      "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
        "A String",
      ],
    },
    "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
      "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
      "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
      "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
    },
    "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
      "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
        "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
        "interval": "A String", # [TrustedTester] [Required] The width of each interval.
        "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
      },
    },
    "tableReference": { # [Required] Reference describing the ID of this table.
      "projectId": "A String", # [Required] The ID of the project containing this table.
      "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
      "datasetId": "A String", # [Required] The ID of the dataset containing this table.
    },
    "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
    "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
    "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
    "friendlyName": "A String", # [Optional] A descriptive name for this table.
    "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
    "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
    "schema": { # [Optional] Describes the schema of this table.
      "fields": [ # Describes the fields in a table.
        {
          "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
          "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
            # Object with schema name: TableFieldSchema
          ],
          "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
          "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
          "categories": { # [Optional] The categories attached to this field, used for field-level access control.
            "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
              "A String",
            ],
          },
          "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
        },
      ],
    },
    "description": "A String", # [Optional] A user-friendly description of this table.
    "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
    "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
    "kind": "bigquery#table", # [Output-only] The type of the resource.
    "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
    "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
      "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    },
    "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
    "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
      "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
        {
          "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
          "iterationResults": [ # [Output-only, Beta] List of each iteration results.
            {
              "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
              "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
              "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
              "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
              "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
            },
          ],
          "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
          "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
            "learnRateStrategy": "A String",
            "l1Reg": 3.14,
            "lineSearchInitLearnRate": 3.14,
            "warmStart": True or False,
            "maxIteration": "A String",
            "learnRate": 3.14,
            "earlyStop": True or False,
            "minRelProgress": 3.14,
            "l2Reg": 3.14,
          },
        },
      ],
      "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
        "labels": [
          "A String",
        ],
        "lossType": "A String",
        "modelType": "A String",
      },
    },
    "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
      "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
        "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
        "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
        "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
        "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
        "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
      },
      "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
      "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
      "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
      "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
        "A String",
      ],
      "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
        "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
        "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
        "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
          {
            "familyId": "A String", # Identifier of the column family.
            "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
            "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
            "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
              {
                "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                "qualifierString": "A String",
                "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
              },
            ],
            "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
          },
        ],
      },
      "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
      "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
        "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
      },
      "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
    },
    "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
    "view": { # [Optional] The view definition.
      "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
      "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
      "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
        {
          "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
          "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
        },
      ],
    },
  }


Returns:
  An object of the form:

    {
      "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
      "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
        "a_key": "A String",
      },
      "materializedView": { # [Optional] Materialized view definition.
        "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
        "query": "A String", # [Required] A query whose result is persisted.
      },
      "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
      "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
        "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
        "requirePartitionFilter": True or False,
        "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
      },
      "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
      "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
        "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
          "A String",
        ],
      },
      "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
        "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
        "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
        "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
      },
      "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
        "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
          "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
          "interval": "A String", # [TrustedTester] [Required] The width of each interval.
          "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
        },
      },
      "tableReference": { # [Required] Reference describing the ID of this table.
        "projectId": "A String", # [Required] The ID of the project containing this table.
        "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
        "datasetId": "A String", # [Required] The ID of the dataset containing this table.
      },
      "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
      "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
      "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
      "friendlyName": "A String", # [Optional] A descriptive name for this table.
      "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
      "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
      "schema": { # [Optional] Describes the schema of this table.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
      "description": "A String", # [Optional] A user-friendly description of this table.
      "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
      "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
      "kind": "bigquery#table", # [Output-only] The type of the resource.
      "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
      "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
        "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
      },
      "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
      "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
        "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
          {
            "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
            "iterationResults": [ # [Output-only, Beta] List of each iteration results.
              {
                "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
                "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
                "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
                "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
                "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
              },
            ],
            "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
            "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
              "learnRateStrategy": "A String",
              "l1Reg": 3.14,
              "lineSearchInitLearnRate": 3.14,
              "warmStart": True or False,
              "maxIteration": "A String",
              "learnRate": 3.14,
              "earlyStop": True or False,
              "minRelProgress": 3.14,
              "l2Reg": 3.14,
            },
          },
        ],
        "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
          "labels": [
            "A String",
          ],
          "lossType": "A String",
          "modelType": "A String",
        },
      },
      "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
        "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
          "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
          "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
          "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
          "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
          "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
        },
        "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
        "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
        "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
          "A String",
        ],
        "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
          "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
          "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
          "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
            {
              "familyId": "A String", # Identifier of the column family.
              "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
              "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
              "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
                {
                  "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                  "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                  "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                  "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                  "qualifierString": "A String",
                  "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
                },
              ],
              "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
            },
          ],
        },
        "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
        "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
          "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
        },
        "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
          "fields": [ # Describes the fields in a table.
            {
              "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
              "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
                # Object with schema name: TableFieldSchema
              ],
              "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
              "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
              "categories": { # [Optional] The categories attached to this field, used for field-level access control.
                "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                  "A String",
                ],
              },
              "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
            },
          ],
        },
      },
      "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
      "view": { # [Optional] The view definition.
        "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
        "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
        "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
          {
            "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
            "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
          },
        ],
      },
    }</pre>
</div>

<div class="method">
    <code class="details" id="update">update(projectId, datasetId, tableId, body)</code>
  <pre>Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource.

Args:
  projectId: string, Project ID of the table to update (required)
  datasetId: string, Dataset ID of the table to update (required)
  tableId: string, Table ID of the table to update (required)
  body: object, The request body. (required)
    The object takes the form of:

{
    "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
    "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
      "a_key": "A String",
    },
    "materializedView": { # [Optional] Materialized view definition.
      "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
      "query": "A String", # [Required] A query whose result is persisted.
    },
    "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
    "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
      "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
      "requirePartitionFilter": True or False,
      "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    },
    "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
    "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
      "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
        "A String",
      ],
    },
    "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
      "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
      "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
      "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
    },
    "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
      "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
      "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
        "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
        "interval": "A String", # [TrustedTester] [Required] The width of each interval.
        "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
      },
    },
    "tableReference": { # [Required] Reference describing the ID of this table.
      "projectId": "A String", # [Required] The ID of the project containing this table.
      "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
      "datasetId": "A String", # [Required] The ID of the dataset containing this table.
    },
    "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
    "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
    "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
    "friendlyName": "A String", # [Optional] A descriptive name for this table.
    "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
    "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
    "schema": { # [Optional] Describes the schema of this table.
      "fields": [ # Describes the fields in a table.
        {
          "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
          "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
            # Object with schema name: TableFieldSchema
          ],
          "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
          "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
          "categories": { # [Optional] The categories attached to this field, used for field-level access control.
            "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
              "A String",
            ],
          },
          "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
        },
      ],
    },
    "description": "A String", # [Optional] A user-friendly description of this table.
    "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
    "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
    "kind": "bigquery#table", # [Output-only] The type of the resource.
    "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
    "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
      "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    },
    "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
    "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
      "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
        {
          "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
          "iterationResults": [ # [Output-only, Beta] List of each iteration results.
            {
              "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
              "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
              "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
              "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
              "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
            },
          ],
          "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
          "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
            "learnRateStrategy": "A String",
            "l1Reg": 3.14,
            "lineSearchInitLearnRate": 3.14,
            "warmStart": True or False,
            "maxIteration": "A String",
            "learnRate": 3.14,
            "earlyStop": True or False,
            "minRelProgress": 3.14,
            "l2Reg": 3.14,
          },
        },
      ],
      "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
        "labels": [
          "A String",
        ],
        "lossType": "A String",
        "modelType": "A String",
      },
    },
    "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
      "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
        "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
        "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
        "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
        "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
        "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
      },
      "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
      "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
      "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
      "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
      "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
        "A String",
      ],
      "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
        "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
        "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
        "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
          {
            "familyId": "A String", # Identifier of the column family.
            "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
            "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
            "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
              {
                "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                "qualifierString": "A String",
                "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
              },
            ],
            "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
          },
        ],
      },
      "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
      "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
        "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
        "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
      },
      "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
    },
    "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
    "view": { # [Optional] The view definition.
      "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
      "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
      "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
        {
          "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
          "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
        },
      ],
    },
  }


Returns:
  An object of the form:

    {
      "creationTime": "A String", # [Output-only] The time when this table was created, in milliseconds since the epoch.
      "labels": { # The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
        "a_key": "A String",
      },
      "materializedView": { # [Optional] Materialized view definition.
        "lastRefreshTime": "A String", # [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
        "query": "A String", # [Required] A query whose result is persisted.
      },
      "requirePartitionFilter": false, # [Beta] [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
      "timePartitioning": { # Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
        "type": "A String", # [Required] The only type supported is DAY, which will generate one partition per day.
        "requirePartitionFilter": True or False,
        "expirationMs": "A String", # [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
      },
      "id": "A String", # [Output-only] An opaque ID uniquely identifying the table.
      "clustering": { # [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.
        "fields": [ # [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
          "A String",
        ],
      },
      "streamingBuffer": { # [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.
        "estimatedBytes": "A String", # [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
        "estimatedRows": "A String", # [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
        "oldestEntryTime": "A String", # [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
      },
      "rangePartitioning": { # [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
        "field": "A String", # [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
        "range": { # [TrustedTester] [Required] Defines the ranges for range partitioning.
          "start": "A String", # [TrustedTester] [Required] The start of range partitioning, inclusive.
          "interval": "A String", # [TrustedTester] [Required] The width of each interval.
          "end": "A String", # [TrustedTester] [Required] The end of range partitioning, exclusive.
        },
      },
      "tableReference": { # [Required] Reference describing the ID of this table.
        "projectId": "A String", # [Required] The ID of the project containing this table.
        "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
        "datasetId": "A String", # [Required] The ID of the dataset containing this table.
      },
      "numRows": "A String", # [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.
      "etag": "A String", # [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.
      "location": "A String", # [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
      "friendlyName": "A String", # [Optional] A descriptive name for this table.
      "expirationTime": "A String", # [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.
      "type": "A String", # [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.
      "schema": { # [Optional] Describes the schema of this table.
        "fields": [ # Describes the fields in a table.
          {
            "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
            "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
              # Object with schema name: TableFieldSchema
            ],
            "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
            "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
            "categories": { # [Optional] The categories attached to this field, used for field-level access control.
              "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                "A String",
              ],
            },
            "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
          },
        ],
      },
      "description": "A String", # [Optional] A user-friendly description of this table.
      "numBytes": "A String", # [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.
      "lastModifiedTime": "A String", # [Output-only] The time when this table was last modified, in milliseconds since the epoch.
      "kind": "bigquery#table", # [Output-only] The type of the resource.
      "numPhysicalBytes": "A String", # [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.
      "encryptionConfiguration": { # Custom encryption configuration (e.g., Cloud KMS keys).
        "kmsKeyName": "A String", # [Optional] Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
      },
      "numLongTermBytes": "A String", # [Output-only] The number of bytes in the table that are considered "long-term storage".
      "model": { # [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.
        "trainingRuns": [ # [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
          {
            "state": "A String", # [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
            "iterationResults": [ # [Output-only, Beta] List of each iteration results.
              {
                "index": 42, # [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
                "evalLoss": 3.14, # [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
                "learnRate": 3.14, # [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
                "durationMs": "A String", # [Output-only, Beta] Time taken to run the training iteration in milliseconds.
                "trainingLoss": 3.14, # [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
              },
            ],
            "startTime": "A String", # [Output-only, Beta] Training run start time in milliseconds since the epoch.
            "trainingOptions": { # [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
              "learnRateStrategy": "A String",
              "l1Reg": 3.14,
              "lineSearchInitLearnRate": 3.14,
              "warmStart": True or False,
              "maxIteration": "A String",
              "learnRate": 3.14,
              "earlyStop": True or False,
              "minRelProgress": 3.14,
              "l2Reg": 3.14,
            },
          },
        ],
        "modelOptions": { # [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
          "labels": [
            "A String",
          ],
          "lossType": "A String",
          "modelType": "A String",
        },
      },
      "externalDataConfiguration": { # [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
        "compression": "A String", # [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "csvOptions": { # Additional properties to set if sourceFormat is set to CSV.
          "fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
          "encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
          "quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
          "allowJaggedRows": True or False, # [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
          "allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
        },
        "hivePartitioningMode": "A String", # [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
        "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
        "maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
        "ignoreUnknownValues": True or False, # [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
          "A String",
        ],
        "bigtableOptions": { # [Optional] Additional options if sourceFormat is set to BIGTABLE.
          "readRowkeyAsString": True or False, # [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.
          "ignoreUnspecifiedColumnFamilies": True or False, # [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
          "columnFamilies": [ # [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
            {
              "familyId": "A String", # Identifier of the column family.
              "type": "A String", # [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
              "onlyReadLatest": True or False, # [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
              "columns": [ # [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
                {
                  "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
                  "qualifierEncoded": "A String", # [Required] Qualifier of the column. Columns in the parent column family that has this exact qualifier are exposed as . field. If the qualifier is valid UTF-8 string, it can be specified in the qualifier_string field. Otherwise, a base-64 encoded value must be set to qualifier_encoded. The column field name is the same as the column qualifier. However, if the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
                  "fieldName": "A String", # [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
                  "onlyReadLatest": True or False, # [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
                  "qualifierString": "A String",
                  "type": "A String", # [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
                },
              ],
              "encoding": "A String", # [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
            },
          ],
        },
        "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
        "googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
          "skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
          "range": "A String", # [Beta] [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
        },
        "schema": { # [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.
          "fields": [ # Describes the fields in a table.
            {
              "description": "A String", # [Optional] The field description. The maximum length is 1,024 characters.
              "fields": [ # [Optional] Describes the nested schema fields if the type property is set to RECORD.
                # Object with schema name: TableFieldSchema
              ],
              "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
              "type": "A String", # [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
              "categories": { # [Optional] The categories attached to this field, used for field-level access control.
                "names": [ # A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
                  "A String",
                ],
              },
              "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
            },
          ],
        },
      },
      "selfLink": "A String", # [Output-only] A URL that can be used to access this resource again.
      "view": { # [Optional] The view definition.
        "query": "A String", # [Required] A query that BigQuery executes when the view is referenced.
        "useLegacySql": True or False, # Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ Queries and views that reference this view must use the same flag value.
        "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
          {
            "resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
            "inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
          },
        ],
      },
    }</pre>
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