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| <blockquote> |
| <div></div></blockquote> |
| <div class="section" id="presto-to-google-cloud-storage-transfer-operator"> |
| <h1>Presto to Google Cloud Storage Transfer Operator<a class="headerlink" href="#presto-to-google-cloud-storage-transfer-operator" title="Permalink to this heading">¶</a></h1> |
| <p><a class="reference external" href="https://prestodb.io/">Presto</a> is an open source distributed SQL query engine for running interactive |
| analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto allows |
| querying data where it lives, including Hive, Cassandra, relational databases or even proprietary data stores. |
| A single Presto query can combine data from multiple sources, allowing for analytics across your entire |
| organization.</p> |
| <p><a class="reference external" href="https://cloud.google.com/storage/">Google Cloud Storage</a> allows world-wide storage and retrieval of |
| any amount of data at any time. You can use it to store backup and |
| <a class="reference external" href="https://cloud.google.com/storage/archival">archive data</a> as well |
| as a <a class="reference external" href="https://cloud.google.com/bigquery/external-data-cloud-storage">data source for BigQuery</a>.</p> |
| <div class="section" id="data-transfer"> |
| <h2>Data transfer<a class="headerlink" href="#data-transfer" title="Permalink to this heading">¶</a></h2> |
| <p>Transfer files between Presto and Google Storage is performed with the |
| <a class="reference internal" href="../../_api/airflow/providers/google/cloud/transfers/presto_to_gcs/index.html#airflow.providers.google.cloud.transfers.presto_to_gcs.PrestoToGCSOperator" title="airflow.providers.google.cloud.transfers.presto_to_gcs.PrestoToGCSOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">PrestoToGCSOperator</span></code></a> operator.</p> |
| <p>This operator has 3 required parameters:</p> |
| <ul class="simple"> |
| <li><p><code class="docutils literal notranslate"><span class="pre">sql</span></code> - The SQL to execute.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">bucket</span></code> - The bucket to upload to.</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">filename</span></code> - The filename to use as the object name when uploading to Google Cloud Storage. |
| A <code class="docutils literal notranslate"><span class="pre">{}</span></code> should be specified in the filename to allow the operator to inject file |
| numbers in cases where the file is split due to size.</p></li> |
| </ul> |
| <p>All parameters are described in the reference documentation - <a class="reference internal" href="../../_api/airflow/providers/google/cloud/transfers/presto_to_gcs/index.html#airflow.providers.google.cloud.transfers.presto_to_gcs.PrestoToGCSOperator" title="airflow.providers.google.cloud.transfers.presto_to_gcs.PrestoToGCSOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">PrestoToGCSOperator</span></code></a>.</p> |
| <p>An example operator call might look like this:</p> |
| <div class="example-block-wrapper compound"> |
| <p class="example-header example-header--with-button compound-first"><span class="example-title">airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.html"><span class="viewcode-link">[source]</span></a></p> |
| <div class="compound-last highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">presto_to_gcs_basic</span> <span class="o">=</span> <span class="n">PrestoToGCSOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"presto_to_gcs_basic"</span><span class="p">,</span> |
| <span class="n">sql</span><span class="o">=</span><span class="sa">f</span><span class="s2">"select * from </span><span class="si">{</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">bucket</span><span class="o">=</span><span class="n">GCS_BUCKET</span><span class="p">,</span> |
| <span class="n">filename</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">.</span><span class="se">{{}}</span><span class="s2">.json"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="section" id="choice-of-data-format"> |
| <h3>Choice of data format<a class="headerlink" href="#choice-of-data-format" title="Permalink to this heading">¶</a></h3> |
| <p>The operator supports two output formats:</p> |
| <ul class="simple"> |
| <li><p><code class="docutils literal notranslate"><span class="pre">json</span></code> - JSON Lines (default)</p></li> |
| <li><p><code class="docutils literal notranslate"><span class="pre">csv</span></code></p></li> |
| </ul> |
| <p>You can specify these options by the <code class="docutils literal notranslate"><span class="pre">export_format</span></code> parameter.</p> |
| <p>If you want a CSV file to be created, your operator call might look like this:</p> |
| <div class="example-block-wrapper compound"> |
| <p class="example-header example-header--with-button compound-first"><span class="example-title">airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.html"><span class="viewcode-link">[source]</span></a></p> |
| <div class="compound-last highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">presto_to_gcs_csv</span> <span class="o">=</span> <span class="n">PrestoToGCSOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"presto_to_gcs_csv"</span><span class="p">,</span> |
| <span class="n">sql</span><span class="o">=</span><span class="sa">f</span><span class="s2">"select * from </span><span class="si">{</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">bucket</span><span class="o">=</span><span class="n">GCS_BUCKET</span><span class="p">,</span> |
| <span class="n">filename</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">.</span><span class="se">{{}}</span><span class="s2">.csv"</span><span class="p">,</span> |
| <span class="n">schema_filename</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">-schema.json"</span><span class="p">,</span> |
| <span class="n">export_format</span><span class="o">=</span><span class="s2">"csv"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="generating-bigquery-schema"> |
| <h3>Generating BigQuery schema<a class="headerlink" href="#generating-bigquery-schema" title="Permalink to this heading">¶</a></h3> |
| <p>If you set <code class="docutils literal notranslate"><span class="pre">schema_filename</span></code> parameter, a <code class="docutils literal notranslate"><span class="pre">.json</span></code> file containing the BigQuery schema fields for the table |
| will be dumped from the database and upload to the bucket.</p> |
| <p>If you want to create a schema file, then an example operator call might look like this:</p> |
| <div class="example-block-wrapper compound"> |
| <p class="example-header example-header--with-button compound-first"><span class="example-title">airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.html"><span class="viewcode-link">[source]</span></a></p> |
| <div class="compound-last highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">presto_to_gcs_multiple_types</span> <span class="o">=</span> <span class="n">PrestoToGCSOperator</span><span class="p">(</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"presto_to_gcs_multiple_types"</span><span class="p">,</span> |
| <span class="n">sql</span><span class="o">=</span><span class="sa">f</span><span class="s2">"select * from </span><span class="si">{</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">bucket</span><span class="o">=</span><span class="n">GCS_BUCKET</span><span class="p">,</span> |
| <span class="n">filename</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">.</span><span class="se">{{}}</span><span class="s2">.json"</span><span class="p">,</span> |
| <span class="n">schema_filename</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">-schema.json"</span><span class="p">,</span> |
| <span class="n">gzip</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>For more information about the BigQuery schema, please look at |
| <a class="reference external" href="https://cloud.google.com/bigquery/docs/schemas">Specifying schema</a> in the Big Query documentation.</p> |
| </div> |
| <div class="section" id="division-of-the-result-into-multiple-files"> |
| <h3>Division of the result into multiple files<a class="headerlink" href="#division-of-the-result-into-multiple-files" title="Permalink to this heading">¶</a></h3> |
| <p>This operator supports the ability to split large result into multiple files. The <code class="docutils literal notranslate"><span class="pre">approx_max_file_size_bytes</span></code> |
| parameters allows developers to specify the file size of the splits. By default, the file has no more |
| than 1 900 000 000 bytes (1900 MB)</p> |
| <p>Check <a class="reference external" href="https://cloud.google.com/storage/quotas">Quotas & limits in Google Cloud Storage</a> to see the |
| maximum allowed file size for a single object.</p> |
| <p>If you want to create 10 MB files, your code might look like this:</p> |
| <div class="example-block-wrapper compound"> |
| <p class="example-header example-header--with-button compound-first"><span class="example-title">airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.html"><span class="viewcode-link">[source]</span></a></p> |
| <div class="compound-last highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">read_data_from_gcs_many_chunks</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">"read_data_from_gcs_many_chunks"</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="sa">f</span><span class="s2">"SELECT COUNT(*) FROM `</span><span class="si">{</span><span class="n">GCP_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">."</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_CUSTOMER_TABLE</span><span class="p">)</span><span class="si">}</span><span class="s2">`"</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="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="querying-data-using-the-bigquery"> |
| <h3>Querying data using the BigQuery<a class="headerlink" href="#querying-data-using-the-bigquery" title="Permalink to this heading">¶</a></h3> |
| <p>The data available in Google Cloud Storage can be used by BigQuery. You can load data to BigQuery or |
| refer in queries directly to GCS data. For information about the loading data to the BigQuery, please look at |
| <a class="reference external" href="https://cloud.google.com/bigquery/docs/loading-data-cloud-storage">Introduction to loading data from Cloud Storage</a> |
| in the BigQuery documentation. For information about the querying GCS data, please look at |
| <a class="reference external" href="https://cloud.google.com/bigquery/docs/loading-data-cloud-storage">Querying Cloud Storage data</a> in |
| the BigQuery documentation.</p> |
| <p>Airflow also has numerous operators that allow you to create the use of BigQuery. |
| For example, if you want to create an external table that allows you to create queries that |
| read data directly from GCS, then 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>. |
| Using this operator looks like this:</p> |
| <div class="example-block-wrapper compound"> |
| <p class="example-header example-header--with-button compound-first"><span class="example-title">airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py</span><a class="example-header-button viewcode-button reference internal" href="../../_modules/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.html"><span class="viewcode-link">[source]</span></a></p> |
| <div class="compound-last highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">create_external_table_multiple_types</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_multiple_types"</span><span class="p">,</span> |
| <span class="n">bucket</span><span class="o">=</span><span class="n">GCS_BUCKET</span><span class="p">,</span> |
| <span class="n">source_objects</span><span class="o">=</span><span class="p">[</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">.*.json"</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">"projectId"</span><span class="p">:</span> <span class="n">GCP_PROJECT_ID</span><span class="p">,</span> |
| <span class="s2">"datasetId"</span><span class="p">:</span> <span class="n">DATASET_NAME</span><span class="p">,</span> |
| <span class="s2">"tableId"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="s2">"schema"</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s2">"fields"</span><span class="p">:</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> |
| <span class="s2">"externalDataConfiguration"</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s2">"sourceFormat"</span><span class="p">:</span> <span class="s2">"NEWLINE_DELIMITED_JSON"</span><span class="p">,</span> |
| <span class="s2">"compression"</span><span class="p">:</span> <span class="s2">"NONE"</span><span class="p">,</span> |
| <span class="s2">"csvOptions"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"skipLeadingRows"</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span> |
| <span class="p">},</span> |
| <span class="p">},</span> |
| <span class="n">schema_object</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">safe_name</span><span class="p">(</span><span class="n">SOURCE_MULTIPLE_TYPES</span><span class="p">)</span><span class="si">}</span><span class="s2">-schema.json"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>For more information about the Airflow and BigQuery integration, please look at |
| the Python API Reference - <a class="reference internal" href="../../_api/airflow/providers/google/cloud/operators/bigquery/index.html#module-airflow.providers.google.cloud.operators.bigquery" title="airflow.providers.google.cloud.operators.bigquery"><code class="xref py py-class docutils literal notranslate"><span class="pre">bigquery</span></code></a>.</p> |
| </div> |
| <div class="section" id="reference"> |
| <h3>Reference<a class="headerlink" href="#reference" title="Permalink to this heading">¶</a></h3> |
| <p>For further information, look at:</p> |
| <ul class="simple"> |
| <li><p><a class="reference external" href="https://prestodb.io//docs/current/">Presto Documentation</a></p></li> |
| <li><p><a class="reference external" href="https://cloud.google.com/storage/docs/">Google Cloud Storage Documentation</a></p></li> |
| </ul> |
| </div> |
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| <li><a class="reference internal" href="#choice-of-data-format">Choice of data format</a></li> |
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| <li><a class="reference internal" href="#querying-data-using-the-bigquery">Querying data using the BigQuery</a></li> |
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