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Docs: fix leakage of bigquery/spanner sections into sidebar menu. (#5986)
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‎bigquery/docs/index.rst‎

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.. include:: /../bigquery/README.rst
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Using the Library
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=================
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-----------------
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Projects
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--------
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~~~~~~~~
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A project is the top-level container in the ``BigQuery`` API: it is tied
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closely to billing, and can provide default access control across all its
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Project ACLs
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~~~~~~~~~~~~
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^^^^^^^^^^^^
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Each project has an access control list granting reader / writer / owner
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permission to one or more entities. This list cannot be queried or set
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via the API; it must be managed using the Google Developer Console.
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Datasets
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--------
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~~~~~~~~
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A dataset represents a collection of tables, and applies several default
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policies to tables as they are created:
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Dataset operations
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~~~~~~~~~~~~~~~~~~
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^^^^^^^^^^^^^^^^^^
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List datasets for the client's project:
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Tables
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~~~~~~
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Tables exist within datasets. See BigQuery documentation for more information
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on `Tables <https://cloud.google.com/bigquery/docs/tables>`_.
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Table operations
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~~~~~~~~~~~~~~~~
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^^^^^^^^^^^^^^^^
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List tables for the dataset:
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.. literalinclude:: snippets.py
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:end-before: [END bigquery_load_from_file]
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Load table data from Google Cloud Storage
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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See also: `Loading JSON data from Cloud Storage
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<https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-json>`_.
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:end-before: [END bigquery_load_table_gcs_parquet]
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Customer Managed Encryption Keys
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Table data is always encrypted at rest, but BigQuery also provides a way for
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you to control what keys it uses to encrypt they data. See `Protecting data
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:end-before: [END bigquery_query_destination_table_cmek]
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Queries
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-------
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~~~~~~~
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Querying data
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^^^^^^^^^^^^^
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Run a query and wait for it to finish:
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Run a dry run query
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^^^^^^^^^^^^^^^^^^^
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.. literalinclude:: snippets.py
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:language: python
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Writing query results to a destination table
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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See BigQuery documentation for more information on
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`writing query results <https://cloud.google.com/bigquery/docs/writing-results>`_.
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Run a query using a named query parameter
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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See BigQuery documentation for more information on
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`parameterized queries <https://cloud.google.com/bigquery/docs/parameterized-queries>`_.
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Jobs
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~~~~
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List jobs for a project
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^^^^^^^^^^^^^^^^^^^^^^^
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Jobs describe actions performed on data in BigQuery tables:
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Using BigQuery with Pandas
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--------------------------
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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Retrieve BigQuery data as a Pandas DataFrame
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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As of version 0.29.0, you can use the
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:func:`~google.cloud.bigquery.table.RowIterator.to_dataframe` function to
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:end-before: [END bigquery_list_rows_dataframe]
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Load a Pandas DataFrame to a BigQuery Table
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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As of version 1.3.0, you can use the
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:func:`~google.cloud.bigquery.client.Client.load_table_from_dataframe` function
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:end-before: [END bigquery_load_table_dataframe]
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API Reference
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=============
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-------------
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.. toctree::
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:maxdepth: 2
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dbapi
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Changelog
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---------
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For a list of all ``google-cloud-bigquery`` releases:
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‎spanner/docs/index.rst‎

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advanced-session-pool-topics
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Changelog
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For a list of all ``google-cloud-spanner`` releases:
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