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<h1><a href="bigquery_v2.html">BigQuery API</a> . <a href="bigquery_v2.routines.html">routines</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#delete">delete(projectId, datasetId, routineId, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes the routine specified by routineId from the dataset.</p>
<p class="toc_element">
<code><a href="#get">get(projectId, datasetId, routineId, readMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Gets the specified routine resource by routine ID.</p>
<p class="toc_element">
<code><a href="#getIamPolicy">getIamPolicy(resource, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.</p>
<p class="toc_element">
<code><a href="#insert">insert(projectId, datasetId, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a new routine in the dataset.</p>
<p class="toc_element">
<code><a href="#list">list(projectId, datasetId, filter=None, maxResults=None, pageToken=None, readMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists all routines in the specified dataset. Requires the READER dataset role.</p>
<p class="toc_element">
<code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
<code><a href="#setIamPolicy">setIamPolicy(resource, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.</p>
<p class="toc_element">
<code><a href="#testIamPermissions">testIamPermissions(resource, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.</p>
<p class="toc_element">
<code><a href="#update">update(projectId, datasetId, routineId, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates information in an existing routine. The update method replaces the entire Routine resource.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="delete">delete(projectId, datasetId, routineId, x__xgafv=None)</code>
<pre>Deletes the routine specified by routineId from the dataset.
Args:
projectId: string, Required. Project ID of the routine to delete (required)
datasetId: string, Required. Dataset ID of the routine to delete (required)
routineId: string, Required. Routine ID of the routine to delete (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
</pre>
</div>
<div class="method">
<code class="details" id="get">get(projectId, datasetId, routineId, readMask=None, x__xgafv=None)</code>
<pre>Gets the specified routine resource by routine ID.
Args:
projectId: string, Required. Project ID of the requested routine (required)
datasetId: string, Required. Dataset ID of the requested routine (required)
routineId: string, Required. Routine ID of the requested routine (required)
readMask: string, If set, only the Routine fields in the field mask are returned in the response. If unset, all Routine fields are returned.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
}</pre>
</div>
<div class="method">
<code class="details" id="getIamPolicy">getIamPolicy(resource, body=None, x__xgafv=None)</code>
<pre>Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Args:
resource: string, REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
body: object, The request body.
The object takes the form of:
{ # Request message for `GetIamPolicy` method.
"options": { # Encapsulates settings provided to GetIamPolicy. # OPTIONAL: A `GetPolicyOptions` object for specifying options to `GetIamPolicy`.
"requestedPolicyVersion": 42, # Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
},
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
"auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
{ # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
"auditLogConfigs": [ # The configuration for logging of each type of permission.
{ # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
"exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
"A String",
],
"logType": "A String", # The log type that this config enables.
},
],
"service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
},
],
"bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
{ # Associates `members`, or principals, with a `role`.
"condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
"A String",
],
"role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
},
],
"etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
"version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
}</pre>
</div>
<div class="method">
<code class="details" id="insert">insert(projectId, datasetId, body=None, x__xgafv=None)</code>
<pre>Creates a new routine in the dataset.
Args:
projectId: string, Required. Project ID of the new routine (required)
datasetId: string, Required. Dataset ID of the new routine (required)
body: object, The request body.
The object takes the form of:
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
}</pre>
</div>
<div class="method">
<code class="details" id="list">list(projectId, datasetId, filter=None, maxResults=None, pageToken=None, readMask=None, x__xgafv=None)</code>
<pre>Lists all routines in the specified dataset. Requires the READER dataset role.
Args:
projectId: string, Required. Project ID of the routines to list (required)
datasetId: string, Required. Dataset ID of the routines to list (required)
filter: string, If set, then only the Routines matching this filter are returned. The supported format is `routineType:{RoutineType}`, where `{RoutineType}` is a RoutineType enum. For example: `routineType:SCALAR_FUNCTION`.
maxResults: integer, The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
pageToken: string, Page token, returned by a previous call, to request the next page of results
readMask: string, If set, then only the Routine fields in the field mask, as well as project_id, dataset_id and routine_id, are returned in the response. If unset, then the following Routine fields are returned: etag, project_id, dataset_id, routine_id, routine_type, creation_time, last_modified_time, and language.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Describes the format of a single result page when listing routines.
"nextPageToken": "A String", # A token to request the next page of results.
"routines": [ # Routines in the requested dataset. Unless read_mask is set in the request, only the following fields are populated: etag, project_id, dataset_id, routine_id, routine_type, creation_time, last_modified_time, language, and remote_function_options.
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
},
],
}</pre>
</div>
<div class="method">
<code class="details" id="list_next">list_next()</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="setIamPolicy">setIamPolicy(resource, body=None, x__xgafv=None)</code>
<pre>Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
Args:
resource: string, REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
body: object, The request body.
The object takes the form of:
{ # Request message for `SetIamPolicy` method.
"policy": { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/). # REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
"auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
{ # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
"auditLogConfigs": [ # The configuration for logging of each type of permission.
{ # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
"exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
"A String",
],
"logType": "A String", # The log type that this config enables.
},
],
"service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
},
],
"bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
{ # Associates `members`, or principals, with a `role`.
"condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
"A String",
],
"role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
},
],
"etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
"version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
},
"updateMask": "A String", # OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: `paths: "bindings, etag"`
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
"auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
{ # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
"auditLogConfigs": [ # The configuration for logging of each type of permission.
{ # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
"exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
"A String",
],
"logType": "A String", # The log type that this config enables.
},
],
"service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
},
],
"bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
{ # Associates `members`, or principals, with a `role`.
"condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
"A String",
],
"role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
},
],
"etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
"version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
}</pre>
</div>
<div class="method">
<code class="details" id="testIamPermissions">testIamPermissions(resource, body=None, x__xgafv=None)</code>
<pre>Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Args:
resource: string, REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
body: object, The request body.
The object takes the form of:
{ # Request message for `TestIamPermissions` method.
"permissions": [ # The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
"A String",
],
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Response message for `TestIamPermissions` method.
"permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
"A String",
],
}</pre>
</div>
<div class="method">
<code class="details" id="update">update(projectId, datasetId, routineId, body=None, x__xgafv=None)</code>
<pre>Updates information in an existing routine. The update method replaces the entire Routine resource.
Args:
projectId: string, Required. Project ID of the routine to update (required)
datasetId: string, Required. Dataset ID of the routine to update (required)
routineId: string, Required. Routine ID of the routine to update (required)
body: object, The request body.
The object takes the form of:
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A user-defined function or a stored procedure.
"arguments": [ # Optional.
{ # Input/output argument of a function or a stored procedure.
"argumentKind": "A String", # Optional. Defaults to FIXED_TYPE.
"dataType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Set if argument_kind == FIXED_TYPE.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"isAggregate": True or False, # Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
"mode": "A String", # Optional. Specifies whether the argument is input or output. Can be set for procedures only.
"name": "A String", # Optional. The name of this argument. Can be absent for function return argument.
},
],
"creationTime": "A String", # Output only. The time when this routine was created, in milliseconds since the epoch.
"dataGovernanceType": "A String", # Optional. If set to `DATA_MASKING`, the function is validated and made available as a masking function. For more information, see [Create custom masking routines](https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask).
"definitionBody": "A String", # Required. The body of the routine. For functions, this is the expression in the AS clause. If `language = "SQL"`, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: `CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))` The definition_body is `concat(x, "\n", y)` (\n is not replaced with linebreak). If `language="JAVASCRIPT"`, it is the evaluated string in the AS clause. For example, for the function created with the following statement: `CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'` The definition_body is `return "\n";\n` Note that both \n are replaced with linebreaks. If `definition_body` references another routine, then that routine must be fully qualified with its project ID.
"description": "A String", # Optional. The description of the routine, if defined.
"determinismLevel": "A String", # Optional. The determinism level of the JavaScript UDF, if defined.
"etag": "A String", # Output only. A hash of this resource.
"externalRuntimeOptions": { # Options for the runtime of the external system. # Optional. Options for the runtime of the external system executing the routine. This field is only applicable for Python UDFs. [Preview](https://cloud.google.com/products/#product-launch-stages)
"containerCpu": 3.14, # Optional. Amount of CPU provisioned for a Python UDF container instance. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"containerMemory": "A String", # Optional. Amount of memory provisioned for a Python UDF container instance. Format: {number}{unit} where unit is one of "M", "G", "Mi" and "Gi" (e.g. 1G, 512Mi). If not specified, the default value is 512Mi. For more information, see [Configure container limits for Python UDFs](https://cloud.google.com/bigquery/docs/user-defined-functions-python#configure-container-limits)
"maxBatchingRows": "A String", # Optional. Maximum number of rows in each batch sent to the external runtime. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"runtimeConnection": "A String", # Optional. Fully qualified name of the connection whose service account will be used to execute the code in the container. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"runtimeVersion": "A String", # Optional. Language runtime version. Example: `python-3.11`.
},
"importedLibraries": [ # Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
"A String",
],
"language": "A String", # Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
"lastModifiedTime": "A String", # Output only. The time when this routine was last modified, in milliseconds since the epoch.
"pythonOptions": { # Options for a user-defined Python function. # Optional. Options for the Python UDF. [Preview](https://cloud.google.com/products/#product-launch-stages)
"entryPoint": "A String", # Required. The name of the function defined in Python code as the entry point when the Python UDF is invoked.
"packages": [ # Optional. A list of Python package names along with versions to be installed. Example: ["pandas>=2.1", "google-cloud-translate==3.11"]. For more information, see [Use third-party packages](https://cloud.google.com/bigquery/docs/user-defined-functions-python#third-party-packages).
"A String",
],
},
"remoteFunctionOptions": { # Options for a remote user-defined function. # Optional. Remote function specific options.
"connection": "A String", # Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: ```"projects/{projectId}/locations/{locationId}/connections/{connectionId}"```
"endpoint": "A String", # Endpoint of the user-provided remote service, e.g. ```https://us-east1-my_gcf_project.cloudfunctions.net/remote_add```
"maxBatchingRows": "A String", # Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
"userDefinedContext": { # User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
"a_key": "A String",
},
},
"returnTableType": { # A table type # Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
"columns": [ # The columns in this table type
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"returnType": { # The data type of a variable such as a function argument. Examples include: * INT64: `{"typeKind": "INT64"}` * ARRAY: { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "STRING"} } * STRUCT>: { "typeKind": "STRUCT", "structType": { "fields": [ { "name": "x", "type": {"typeKind": "STRING"} }, { "name": "y", "type": { "typeKind": "ARRAY", "arrayElementType": {"typeKind": "DATE"} } } ] } } * RANGE: { "typeKind": "RANGE", "rangeElementType": {"typeKind": "DATE"} } # Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);` * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));` * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));` The return_type is `{type_kind: "FLOAT64"}` for `Add` and `Decrement`, and is absent for `Increment` (inferred as FLOAT64 at query time). Suppose the function `Add` is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);` Then the inferred return type of `Increment` is automatically changed to INT64 at query time, while the return type of `Decrement` remains FLOAT64.
"arrayElementType": # Object with schema name: StandardSqlDataType # The type of the array's elements, if type_kind = "ARRAY".
"rangeElementType": # Object with schema name: StandardSqlDataType # The type of the range's elements, if type_kind = "RANGE".
"structType": { # The representation of a SQL STRUCT type. # The fields of this struct, in order, if type_kind = "STRUCT".
"fields": [ # Fields within the struct.
{ # A field or a column.
"name": "A String", # Optional. The name of this field. Can be absent for struct fields.
"type": # Object with schema name: StandardSqlDataType # Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
},
],
},
"typeKind": "A String", # Required. The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
},
"routineReference": { # Id path of a routine. # Required. Reference describing the ID of this routine.
"datasetId": "A String", # Required. The ID of the dataset containing this routine.
"projectId": "A String", # Required. The ID of the project containing this routine.
"routineId": "A String", # Required. The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
},
"routineType": "A String", # Required. The type of routine.
"securityMode": "A String", # Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
"sparkOptions": { # Options for a user-defined Spark routine. # Optional. Spark specific options.
"archiveUris": [ # Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"connection": "A String", # Fully qualified name of the user-provided Spark connection object. Format: ```"projects/{project_id}/locations/{location_id}/connections/{connection_id}"```
"containerImage": "A String", # Custom container image for the runtime environment.
"fileUris": [ # Files to be placed in the working directory of each executor. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"jarUris": [ # JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"mainClass": "A String", # The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
"mainFileUri": "A String", # The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
"properties": { # Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see [Apache Spark](https://spark.apache.org/docs/latest/index.html) and the [procedure option list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#procedure_option_list).
"a_key": "A String",
},
"pyFileUris": [ # Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: `.py`, `.egg`, and `.zip`. For more information about Apache Spark, see [Apache Spark](https://spark.apache.org/docs/latest/index.html).
"A String",
],
"runtimeVersion": "A String", # Runtime version. If not specified, the default runtime version is used.
},
"strictMode": True or False, # Optional. Use this option to catch many common errors. Error checking is not exhaustive, and successfully creating a procedure doesn't guarantee that the procedure will successfully execute at runtime. If `strictMode` is set to `TRUE`, the procedure body is further checked for errors such as non-existent tables or columns. The `CREATE PROCEDURE` statement fails if the body fails any of these checks. If `strictMode` is set to `FALSE`, the procedure body is checked only for syntax. For procedures that invoke themselves recursively, specify `strictMode=FALSE` to avoid non-existent procedure errors during validation. Default value is `TRUE`.
}</pre>
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