File: cloudsearch_v1.media.html

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<h1><a href="cloudsearch_v1.html">Cloud Search API</a> . <a href="cloudsearch_v1.media.html">media</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#upload">upload(resourceName, body=None, media_body=None, media_mime_type=None, x__xgafv=None)</a></code></p>
<p class="firstline">Uploads media for indexing.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="upload">upload(resourceName, body=None, media_body=None, media_mime_type=None, x__xgafv=None)</code>
  <pre>Uploads media for indexing.

The upload endpoint supports direct and resumable upload protocols and
is intended for large items that can not be inlined during index requests. To
index large content:

1. Call upload to begin
   a session and get the item reference.
1. Upload the content using the item reference's resource name.
1. Call index with the item
   reference as the content.

For additional information, see
[Create a content connector using the REST API](https://developers.google.com/cloud-search/docs/guides/content-connector#rest).

Args:
  resourceName: string, Name of the media that is being downloaded.  See
ReadRequest.resource_name. (required)
  body: object, The request body.
    The object takes the form of:

{ # Media resource.
    "resourceName": "A String", # Name of the media resource.
  }

  media_body: string, The filename of the media request body, or an instance of a MediaUpload object.
  media_mime_type: string, The MIME type of the media request body, or an instance of a MediaUpload object.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Media resource.
      "resourceName": "A String", # Name of the media resource.
    }</pre>
</div>

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