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| <div class="section" id="google-cloud-bigquery-operators"> |
| <h1>Google Cloud BigQuery Operators<a class="headerlink" href="#google-cloud-bigquery-operators" title="Permalink to this headline">¶</a></h1> |
| <p><a class="reference external" href="https://cloud.google.com/bigquery/">BigQuery</a> is Google's fully managed, petabyte |
| scale, low cost analytics data warehouse. It is a serverless Software as a Service |
| (SaaS) that doesn't need a database administrator. It allows users to focus on |
| analyzing data to find meaningful insights using familiar SQL.</p> |
| <p>Airflow provides operators to manage datasets and tables, run queries and validate |
| data.</p> |
| <div class="contents local topic" id="contents"> |
| <ul class="simple"> |
| <li><p><a class="reference internal" href="#prerequisite-tasks" id="id1">Prerequisite Tasks</a></p></li> |
| <li><p><a class="reference internal" href="#manage-datasets" id="id2">Manage datasets</a></p></li> |
| <li><p><a class="reference internal" href="#manage-tables" id="id3">Manage tables</a></p></li> |
| <li><p><a class="reference internal" href="#execute-bigquery-jobs" id="id4">Execute BigQuery jobs</a></p></li> |
| <li><p><a class="reference internal" href="#validate-data" id="id5">Validate data</a></p></li> |
| <li><p><a class="reference internal" href="#sensors" id="id6">Sensors</a></p></li> |
| <li><p><a class="reference internal" href="#reference" id="id7">Reference</a></p></li> |
| </ul> |
| </div> |
| <div class="section" id="prerequisite-tasks"> |
| <h2><a class="toc-backref" href="#id1">Prerequisite Tasks</a><a class="headerlink" href="#prerequisite-tasks" title="Permalink to this headline">¶</a></h2> |
| </div> |
| <div class="section" id="manage-datasets"> |
| <h2><a class="toc-backref" href="#id2">Manage datasets</a><a class="headerlink" href="#manage-datasets" title="Permalink to this headline">¶</a></h2> |
| <div class="section" id="create-dataset"> |
| <span id="howto-operator-bigquerycreateemptydatasetoperator"></span><h3>Create dataset<a class="headerlink" href="#create-dataset" title="Permalink to this headline">¶</a></h3> |
| <p>To create an empty dataset in a BigQuery database you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyDatasetOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyDatasetOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryCreateEmptyDatasetOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_dataset</span> <span class="o">=</span> <span class="n">BigQueryCreateEmptyDatasetOperator</span><span class="p">(</span><span class="n">task_id</span><span class="o">=</span><span class="s2">"create-dataset"</span><span class="p">,</span> <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="get-dataset-details"> |
| <span id="howto-operator-bigquerygetdatasetoperator"></span><h3>Get dataset details<a class="headerlink" href="#get-dataset-details" title="Permalink to this headline">¶</a></h3> |
| <p>To get the details of an existing dataset you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryGetDatasetOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryGetDatasetOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryGetDatasetOperator</span></code></a>.</p> |
| <p>This operator returns a <a class="reference external" href="https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource">Dataset Resource</a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">get_dataset</span> <span class="o">=</span> <span class="n">BigQueryGetDatasetOperator</span><span class="p">(</span><span class="n">task_id</span><span class="o">=</span><span class="s2">"get-dataset"</span><span class="p">,</span> <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="list-tables-in-dataset"> |
| <span id="howto-operator-bigquerygetdatasettablesoperator"></span><h3>List tables in dataset<a class="headerlink" href="#list-tables-in-dataset" title="Permalink to this headline">¶</a></h3> |
| <p>To retrieve the list of tables in a given dataset use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryGetDatasetTablesOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryGetDatasetTablesOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryGetDatasetTablesOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">get_dataset_tables</span> <span class="o">=</span> <span class="n">BigQueryGetDatasetTablesOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"get_dataset_tables"</span><span class="p">,</span> <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="patch-dataset"> |
| <span id="howto-operator-bigquerypatchdatasetoperator"></span><h3>Patch dataset<a class="headerlink" href="#patch-dataset" title="Permalink to this headline">¶</a></h3> |
| <p>To patch a dataset in BigQuery you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryPatchDatasetOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryPatchDatasetOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryPatchDatasetOperator</span></code></a>.</p> |
| <p>Note, this operator only replaces fields that are provided in the submitted dataset |
| resource.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">patch_dataset</span> <span class="o">=</span> <span class="n">BigQueryPatchDatasetOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"patch_dataset"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">dataset_resource</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"friendlyName"</span><span class="p">:</span> <span class="s2">"Patched Dataset"</span><span class="p">,</span> |
| <span class="s2">"description"</span><span class="p">:</span> <span class="s2">"Patched dataset"</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="update-dataset"> |
| <span id="howto-operator-bigqueryupdatedatasetoperator"></span><h3>Update dataset<a class="headerlink" href="#update-dataset" title="Permalink to this headline">¶</a></h3> |
| <p>To update a dataset in BigQuery you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryUpdateDatasetOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryUpdateDatasetOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryUpdateDatasetOperator</span></code></a>.</p> |
| <p>The update method replaces the entire dataset resource, whereas the patch |
| method only replaces fields that are provided in the submitted dataset resource.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">update_dataset</span> <span class="o">=</span> <span class="n">BigQueryUpdateDatasetOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"update_dataset"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">dataset_resource</span><span class="o">=</span><span class="p">{</span><span class="s2">"description"</span><span class="p">:</span> <span class="s2">"Updated dataset"</span><span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="delete-dataset"> |
| <span id="howto-operator-bigquerydeletedatasetoperator"></span><h3>Delete dataset<a class="headerlink" href="#delete-dataset" title="Permalink to this headline">¶</a></h3> |
| <p>To delete an existing dataset from a BigQuery database you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryDeleteDatasetOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryDeleteDatasetOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryDeleteDatasetOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">delete_dataset</span> <span class="o">=</span> <span class="n">BigQueryDeleteDatasetOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"delete_dataset"</span><span class="p">,</span> <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> <span class="n">delete_contents</span><span class="o">=</span><span class="kc">True</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="manage-tables"> |
| <h2><a class="toc-backref" href="#id3">Manage tables</a><a class="headerlink" href="#manage-tables" title="Permalink to this headline">¶</a></h2> |
| <div class="section" id="create-native-table"> |
| <span id="howto-operator-bigquerycreateemptytableoperator"></span><h3>Create native table<a class="headerlink" href="#create-native-table" title="Permalink to this headline">¶</a></h3> |
| <p>To create a new, empty table in the given BigQuery dataset, optionally with |
| schema you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyTableOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyTableOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryCreateEmptyTableOperator</span></code></a>.</p> |
| <p>The schema to be used for the BigQuery table may be specified in one of two |
| ways. You may either directly pass the schema fields in, or you may point the |
| operator to a Google Cloud Storage object name. The object in Google Cloud |
| Storage must be a JSON file with the schema fields in it.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_table</span> <span class="o">=</span> <span class="n">BigQueryCreateEmptyTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create_table"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">table_id</span><span class="o">=</span><span class="s2">"test_table"</span><span class="p">,</span> |
| <span class="n">schema_fields</span><span class="o">=</span><span class="p">[</span> |
| <span class="p">{</span><span class="s2">"name"</span><span class="p">:</span> <span class="s2">"emp_name"</span><span class="p">,</span> <span class="s2">"type"</span><span class="p">:</span> <span class="s2">"STRING"</span><span class="p">,</span> <span class="s2">"mode"</span><span class="p">:</span> <span class="s2">"REQUIRED"</span><span class="p">},</span> |
| <span class="p">{</span><span class="s2">"name"</span><span class="p">:</span> <span class="s2">"salary"</span><span class="p">,</span> <span class="s2">"type"</span><span class="p">:</span> <span class="s2">"INTEGER"</span><span class="p">,</span> <span class="s2">"mode"</span><span class="p">:</span> <span class="s2">"NULLABLE"</span><span class="p">},</span> |
| <span class="p">],</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use this operator to create a view on top of an existing table.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_view</span> <span class="o">=</span> <span class="n">BigQueryCreateEmptyTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create_view"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">table_id</span><span class="o">=</span><span class="s2">"test_view"</span><span class="p">,</span> |
| <span class="n">view</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"query"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"SELECT * FROM `</span><span class="si">{</span><span class="n">PROJECT_ID</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.test_table`"</span><span class="p">,</span> |
| <span class="s2">"useLegacySql"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="create-external-table"> |
| <span id="howto-operator-bigquerycreateexternaltableoperator"></span><h3>Create external table<a class="headerlink" href="#create-external-table" title="Permalink to this headline">¶</a></h3> |
| <p>To create a new external table in a dataset with the data in Google Cloud Storage |
| you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryCreateExternalTableOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryCreateExternalTableOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryCreateExternalTableOperator</span></code></a>.</p> |
| <p>Similarly to |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyTableOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryCreateEmptyTableOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryCreateEmptyTableOperator</span></code></a> |
| you may either directly pass the schema fields in, or you may point the operator |
| to a Google Cloud Storage object name.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_external_table</span> <span class="o">=</span> <span class="n">BigQueryCreateExternalTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"create_external_table"</span><span class="p">,</span> |
| <span class="n">bucket</span><span class="o">=</span><span class="n">DATA_SAMPLE_GCS_BUCKET_NAME</span><span class="p">,</span> |
| <span class="n">source_objects</span><span class="o">=</span><span class="p">[</span><span class="n">DATA_SAMPLE_GCS_OBJECT_NAME</span><span class="p">],</span> |
| <span class="n">destination_project_dataset_table</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.external_table"</span><span class="p">,</span> |
| <span class="n">skip_leading_rows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> |
| <span class="n">schema_fields</span><span class="o">=</span><span class="p">[</span> |
| <span class="p">{</span><span class="s2">"name"</span><span class="p">:</span> <span class="s2">"name"</span><span class="p">,</span> <span class="s2">"type"</span><span class="p">:</span> <span class="s2">"STRING"</span><span class="p">},</span> |
| <span class="p">{</span><span class="s2">"name"</span><span class="p">:</span> <span class="s2">"post_abbr"</span><span class="p">,</span> <span class="s2">"type"</span><span class="p">:</span> <span class="s2">"STRING"</span><span class="p">},</span> |
| <span class="p">],</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="fetch-data-from-table"> |
| <span id="howto-operator-bigquerygetdataoperator"></span><h3>Fetch data from table<a class="headerlink" href="#fetch-data-from-table" title="Permalink to this headline">¶</a></h3> |
| <p>To fetch data from a BigQuery table you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryGetDataOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryGetDataOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryGetDataOperator</span></code></a>. |
| Alternatively you can fetch data for selected columns if you pass fields to |
| <code class="docutils literal notranslate"><span class="pre">selected_fields</span></code>.</p> |
| <p>This operator returns data in a Python list where the number of elements in the |
| returned list will be equal to the number of rows fetched. Each element in the |
| list will again be a list where elements would represent the column values for |
| that row.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">get_data</span> <span class="o">=</span> <span class="n">BigQueryGetDataOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"get_data"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">table_id</span><span class="o">=</span><span class="n">TABLE_1</span><span class="p">,</span> |
| <span class="n">max_results</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> |
| <span class="n">selected_fields</span><span class="o">=</span><span class="s2">"value,name"</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="upsert-table"> |
| <span id="howto-operator-bigqueryupserttableoperator"></span><h3>Upsert table<a class="headerlink" href="#upsert-table" title="Permalink to this headline">¶</a></h3> |
| <p>To upsert a table you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryUpsertTableOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryUpsertTableOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryUpsertTableOperator</span></code></a>.</p> |
| <p>This operator either updates the existing table or creates a new, empty table |
| in the given dataset.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">update_table</span> <span class="o">=</span> <span class="n">BigQueryUpsertTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"update_table"</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">table_resource</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"tableReference"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"tableId"</span><span class="p">:</span> <span class="s2">"test_table_id"</span><span class="p">},</span> |
| <span class="s2">"expirationTime"</span><span class="p">:</span> <span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">())</span> <span class="o">+</span> <span class="mi">300</span><span class="p">)</span> <span class="o">*</span> <span class="mi">1000</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="delete-table"> |
| <span id="howto-operator-bigquerydeletetableoperator"></span><h3>Delete table<a class="headerlink" href="#delete-table" title="Permalink to this headline">¶</a></h3> |
| <p>To delete an existing table you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryDeleteTableOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryDeleteTableOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryDeleteTableOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">delete_table</span> <span class="o">=</span> <span class="n">BigQueryDeleteTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"delete_table"</span><span class="p">,</span> |
| <span class="n">deletion_dataset_table</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">PROJECT_ID</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.test_table"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can also use this operator to delete a view.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_operations.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_operations.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">delete_view</span> <span class="o">=</span> <span class="n">BigQueryDeleteTableOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"delete_view"</span><span class="p">,</span> <span class="n">deletion_dataset_table</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">PROJECT_ID</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.test_view"</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="execute-bigquery-jobs"> |
| <span id="howto-operator-bigqueryinsertjoboperator"></span><h2><a class="toc-backref" href="#id4">Execute BigQuery jobs</a><a class="headerlink" href="#execute-bigquery-jobs" title="Permalink to this headline">¶</a></h2> |
| <p>Let's say you would like to execute the following query.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">INSERT_ROWS_QUERY</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="sa">f</span><span class="s2">"INSERT </span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">TABLE_1</span><span class="si">}</span><span class="s2"> VALUES "</span> |
| <span class="sa">f</span><span class="s2">"(42, 'monthy python', '</span><span class="si">{</span><span class="n">INSERT_DATE</span><span class="si">}</span><span class="s2">'), "</span> |
| <span class="sa">f</span><span class="s2">"(42, 'fishy fish', '</span><span class="si">{</span><span class="n">INSERT_DATE</span><span class="si">}</span><span class="s2">');"</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>To execute the SQL query in a specific BigQuery database you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryInsertJobOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryInsertJobOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryInsertJobOperator</span></code></a> with |
| proper query job configuration that can be Jinja templated.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">insert_query_job</span> <span class="o">=</span> <span class="n">BigQueryInsertJobOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"insert_query_job"</span><span class="p">,</span> |
| <span class="n">configuration</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"query"</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s2">"query"</span><span class="p">:</span> <span class="n">INSERT_ROWS_QUERY</span><span class="p">,</span> |
| <span class="s2">"useLegacySql"</span><span class="p">:</span> <span class="s2">"False"</span><span class="p">,</span> |
| <span class="p">}</span> |
| <span class="p">},</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>For more information on types of BigQuery job please check |
| <a class="reference external" href="https://cloud.google.com/bigquery/docs/reference/v2/jobs">documentation</a>.</p> |
| <p>If you want to include some files in your configuration you can use <code class="docutils literal notranslate"><span class="pre">include</span></code> clause of Jinja template |
| language as follow:</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">select_query_job</span> <span class="o">=</span> <span class="n">BigQueryInsertJobOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"select_query_job"</span><span class="p">,</span> |
| <span class="n">configuration</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"query"</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s2">"query"</span><span class="p">:</span> <span class="s2">"{</span><span class="si">% i</span><span class="s2">nclude 'example_bigquery_query.sql' %}"</span><span class="p">,</span> |
| <span class="s2">"useLegacySql"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="p">}</span> |
| <span class="p">},</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>The included file can also use Jinja templates which can be useful in case of <code class="docutils literal notranslate"><span class="pre">.sql</span></code> files.</p> |
| <p>Additionally you can use <code class="docutils literal notranslate"><span class="pre">job_id</span></code> parameter of |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryInsertJobOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryInsertJobOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryInsertJobOperator</span></code></a> to improve |
| idempotency. If this parameter is not passed then uuid will be used as <code class="docutils literal notranslate"><span class="pre">job_id</span></code>. If provided then |
| operator will try to submit a new job with this <code class="docutils literal notranslate"><span class="pre">job_id`</span></code>. If there's already a job with such <code class="docutils literal notranslate"><span class="pre">job_id</span></code> |
| then it will reattach to the existing job.</p> |
| </div> |
| <div class="section" id="validate-data"> |
| <h2><a class="toc-backref" href="#id5">Validate data</a><a class="headerlink" href="#validate-data" title="Permalink to this headline">¶</a></h2> |
| <div class="section" id="check-if-query-result-has-data"> |
| <span id="howto-operator-bigquerycheckoperator"></span><h3>Check if query result has data<a class="headerlink" href="#check-if-query-result-has-data" title="Permalink to this headline">¶</a></h3> |
| <p>To perform checks against BigQuery you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryCheckOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryCheckOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryCheckOperator</span></code></a>.</p> |
| <p>This operator expects a sql query that will return a single row. Each value on |
| that first row is evaluated using python <code class="docutils literal notranslate"><span class="pre">bool</span></code> casting. If any of the values |
| return <code class="docutils literal notranslate"><span class="pre">False</span></code> the check is failed and errors out.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">check_count</span> <span class="o">=</span> <span class="n">BigQueryCheckOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"check_count"</span><span class="p">,</span> |
| <span class="n">sql</span><span class="o">=</span><span class="sa">f</span><span class="s2">"SELECT COUNT(*) FROM </span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">TABLE_1</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">use_legacy_sql</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="compare-query-result-to-pass-value"> |
| <span id="howto-operator-bigqueryvaluecheckoperator"></span><h3>Compare query result to pass value<a class="headerlink" href="#compare-query-result-to-pass-value" title="Permalink to this headline">¶</a></h3> |
| <p>To perform a simple value check using sql code you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryValueCheckOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryValueCheckOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryValueCheckOperator</span></code></a>.</p> |
| <p>This operator expects a sql query that will return a single row. Each value on |
| that first row is evaluated against <code class="docutils literal notranslate"><span class="pre">pass_value</span></code> which can be either a string |
| or numeric value. If numeric, you can also specify <code class="docutils literal notranslate"><span class="pre">tolerance</span></code>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">check_value</span> <span class="o">=</span> <span class="n">BigQueryValueCheckOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"check_value"</span><span class="p">,</span> |
| <span class="n">sql</span><span class="o">=</span><span class="sa">f</span><span class="s2">"SELECT COUNT(*) FROM </span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">TABLE_1</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">pass_value</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> |
| <span class="n">use_legacy_sql</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="compare-metrics-over-time"> |
| <span id="howto-operator-bigqueryintervalcheckoperator"></span><h3>Compare metrics over time<a class="headerlink" href="#compare-metrics-over-time" title="Permalink to this headline">¶</a></h3> |
| <p>To check that the values of metrics given as SQL expressions are within a certain |
| tolerance of the ones from <code class="docutils literal notranslate"><span class="pre">days_back</span></code> before you can use |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#airflow.providers.google.cloud.operators.bigquery.BigQueryIntervalCheckOperator" title="airflow.providers.google.cloud.operators.bigquery.BigQueryIntervalCheckOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryIntervalCheckOperator</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_queries.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_queries.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">check_interval</span> <span class="o">=</span> <span class="n">BigQueryIntervalCheckOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"check_interval"</span><span class="p">,</span> |
| <span class="n">table</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DATASET_NAME</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">TABLE_1</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">days_back</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> |
| <span class="n">metrics_thresholds</span><span class="o">=</span><span class="p">{</span><span class="s2">"COUNT(*)"</span><span class="p">:</span> <span class="mf">1.5</span><span class="p">},</span> |
| <span class="n">use_legacy_sql</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="sensors"> |
| <h2><a class="toc-backref" href="#id6">Sensors</a><a class="headerlink" href="#sensors" title="Permalink to this headline">¶</a></h2> |
| <div class="section" id="check-that-a-table-exists"> |
| <h3>Check that a Table exists<a class="headerlink" href="#check-that-a-table-exists" title="Permalink to this headline">¶</a></h3> |
| <p>To check that a table exists you can define a sensor operator. This allows delaying execution |
| of downstream operators until a table exist. If the table is sharded on dates you can for instance |
| use the <code class="docutils literal notranslate"><span class="pre">{{</span> <span class="pre">ds_nodash</span> <span class="pre">}}</span></code> macro as the table name suffix.</p> |
| <p><a class="reference internal" href="../../_api/airflow/providers/google/cloud/sensors/bigquery/index.html#airflow.providers.google.cloud.sensors.bigquery.BigQueryTableExistenceSensor" title="airflow.providers.google.cloud.sensors.bigquery.BigQueryTableExistenceSensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryTableExistenceSensor</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_sensors.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_sensors.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">check_table_exists</span> <span class="o">=</span> <span class="n">BigQueryTableExistenceSensor</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"check_table_exists"</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> <span class="n">table_id</span><span class="o">=</span><span class="n">TABLE_NAME</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="check-that-a-table-partition-exists"> |
| <h3>Check that a Table Partition exists<a class="headerlink" href="#check-that-a-table-partition-exists" title="Permalink to this headline">¶</a></h3> |
| <p>To check that a table exists and has a partition you can use. |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/sensors/bigquery/index.html#airflow.providers.google.cloud.sensors.bigquery.BigQueryTablePartitionExistenceSensor" title="airflow.providers.google.cloud.sensors.bigquery.BigQueryTablePartitionExistenceSensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">BigQueryTablePartitionExistenceSensor</span></code></a>.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/providers/google/cloud/example_dags/example_bigquery_sensors.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_bigquery_sensors.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">check_table_partition_exists</span> <span class="o">=</span> <span class="n">BigQueryTablePartitionExistenceSensor</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"check_table_partition_exists"</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="n">PROJECT_ID</span><span class="p">,</span> |
| <span class="n">dataset_id</span><span class="o">=</span><span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="n">table_id</span><span class="o">=</span><span class="n">TABLE_NAME</span><span class="p">,</span> |
| <span class="n">partition_id</span><span class="o">=</span><span class="n">PARTITION_NAME</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>For DAY partitioned tables, the partition_id parameter is a string on the "%Y%m%d" format</p> |
| </div> |
| </div> |
| <div class="section" id="reference"> |
| <h2><a class="toc-backref" href="#id7">Reference</a><a class="headerlink" href="#reference" title="Permalink to this headline">¶</a></h2> |
| <p>For further information, look at:</p> |
| <ul class="simple"> |
| <li><p><a class="reference external" href="https://googleapis.dev/python/bigquery/latest/index.html">Client Library Documentation</a></p></li> |
| <li><p><a class="reference external" href="https://cloud.google.com/bigquery/docs/">Product Documentation</a></p></li> |
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