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<nav class="wy-nav-top" role="navigation" aria-label="top navigation"> + + <i data-toggle="wy-nav-top" class="fa fa-bars"></i> + <a href="../../../../index.html">Airflow</a> + + </nav> + + + + <div class="wy-nav-content"> + <div class="rst-content"> + + + + + + + + + + + + + + + + +<div role="navigation" aria-label="breadcrumbs navigation"> + + <ul class="wy-breadcrumbs"> + + <li><a href="../../../../index.html">Docs</a> »</li> + + <li><a href="../../../index.html">Module code</a> »</li> + + <li>airflow.contrib.hooks.bigquery_hook</li> + + + <li class="wy-breadcrumbs-aside"> + + + + </li> + + </ul> + + + <hr/> +</div> + <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article";> + <div itemprop="articleBody"> + + <h1>Source code for airflow.contrib.hooks.bigquery_hook</h1><div class="highlight"><pre> +<span></span><span class="c1"># -*- coding: utf-8 -*-</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1">#</span> + +<span class="sd">"""</span> +<span class="sd">This module contains a BigQuery Hook, as well as a very basic PEP 249</span> +<span class="sd">implementation for BigQuery.</span> +<span class="sd">"""</span> + +<span class="kn">import</span> <span class="nn">time</span> + +<span class="kn">from</span> <span class="nn">apiclient.discovery</span> <span class="k">import</span> <span class="n">build</span><span class="p">,</span> <span class="n">HttpError</span> +<span class="kn">from</span> <span class="nn">googleapiclient</span> <span class="k">import</span> <span class="n">errors</span> +<span class="kn">from</span> <span class="nn">builtins</span> <span class="k">import</span> <span class="nb">range</span> +<span class="kn">from</span> <span class="nn">pandas_gbq.gbq</span> <span class="k">import</span> <span class="n">GbqConnector</span><span class="p">,</span> \ + <span class="n">_parse_data</span> <span class="k">as</span> <span class="n">gbq_parse_data</span><span class="p">,</span> \ + <span class="n">_check_google_client_version</span> <span class="k">as</span> <span class="n">gbq_check_google_client_version</span><span class="p">,</span> \ + <span class="n">_test_google_api_imports</span> <span class="k">as</span> <span class="n">gbq_test_google_api_imports</span> +<span class="kn">from</span> <span class="nn">pandas.tools.merge</span> <span class="k">import</span> <span class="n">concat</span> +<span class="kn">from</span> <span class="nn">past.builtins</span> <span class="k">import</span> <span class="n">basestring</span> + +<span class="kn">from</span> <span class="nn">airflow.contrib.hooks.gcp_api_base_hook</span> <span class="k">import</span> <span class="n">GoogleCloudBaseHook</span> +<span class="kn">from</span> <span class="nn">airflow.hooks.dbapi_hook</span> <span class="k">import</span> <span class="n">DbApiHook</span> +<span class="kn">from</span> <span class="nn">airflow.utils.log.logging_mixin</span> <span class="k">import</span> <span class="n">LoggingMixin</span> + + +<div class="viewcode-block" id="BigQueryHook"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook">[docs]</a><span class="k">class</span> <span class="nc">BigQueryHook</span><span class="p">(</span><span class="n">GoogleCloudBaseHook</span><span class="p">,</span> <span class="n">DbApiHook</span><span class="p">,</span> <span class="n">LoggingMixin</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Interact with BigQuery. This hook uses the Google Cloud Platform</span> +<span class="sd"> connection.</span> +<span class="sd"> """</span> + <span class="n">conn_name_attr</span> <span class="o">=</span> <span class="s1">'bigquery_conn_id'</span> + + <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> + <span class="n">bigquery_conn_id</span><span class="o">=</span><span class="s1">'bigquery_default'</span><span class="p">,</span> + <span class="n">delegate_to</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span> + <span class="nb">super</span><span class="p">(</span><span class="n">BigQueryHook</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span> + <span class="n">conn_id</span><span class="o">=</span><span class="n">bigquery_conn_id</span><span class="p">,</span> + <span class="n">delegate_to</span><span class="o">=</span><span class="n">delegate_to</span><span class="p">)</span> + +<div class="viewcode-block" id="BigQueryHook.get_conn"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook.get_conn">[docs]</a> <span class="k">def</span> <span class="nf">get_conn</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Returns a BigQuery PEP 249 connection object.</span> +<span class="sd"> """</span> + <span class="n">service</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_service</span><span class="p">()</span> + <span class="n">project</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_field</span><span class="p">(</span><span class="s1">'project'</span><span class="p">)</span> + <span class="k">return</span> <span class="n">BigQueryConnection</span><span class="p">(</span><span class="n">service</span><span class="o">=</span><span class="n">service</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="n">project</span><span class="p">)</span></div> + +<div class="viewcode-block" id="BigQueryHook.get_service"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook.get_service">[docs]</a> <span class="k">def</span> <span class="nf">get_service</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Returns a BigQuery service object.</span> +<span class="sd"> """</span> + <span class="n">http_authorized</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_authorize</span><span class="p">()</span> + <span class="k">return</span> <span class="n">build</span><span class="p">(</span><span class="s1">'bigquery'</span><span class="p">,</span> <span class="s1">'v2'</span><span class="p">,</span> <span class="n">http</span><span class="o">=</span><span class="n">http_authorized</span><span class="p">)</span></div> + +<div class="viewcode-block" id="BigQueryHook.insert_rows"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook.insert_rows">[docs]</a> <span class="k">def</span> <span class="nf">insert_rows</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">table</span><span class="p">,</span> <span class="n">rows</span><span class="p">,</span> <span class="n">target_fields</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">commit_every</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Insertion is currently unsupported. Theoretically, you could use</span> +<span class="sd"> BigQuery's streaming API to insert rows into a table, but this hasn't</span> +<span class="sd"> been implemented.</span> +<span class="sd"> """</span> + <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span></div> + +<div class="viewcode-block" id="BigQueryHook.get_pandas_df"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook.get_pandas_df">[docs]</a> <span class="k">def</span> <span class="nf">get_pandas_df</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">bql</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dialect</span><span class="o">=</span><span class="s1">'legacy'</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Returns a Pandas DataFrame for the results produced by a BigQuery</span> +<span class="sd"> query. The DbApiHook method must be overridden because Pandas</span> +<span class="sd"> doesn't support PEP 249 connections, except for SQLite. See:</span> + +<span class="sd"> https://github.com/pydata/pandas/blob/master/pandas/io/sql.py#L447</span> +<span class="sd"> https://github.com/pydata/pandas/issues/6900</span> + +<span class="sd"> :param bql: The BigQuery SQL to execute.</span> +<span class="sd"> :type bql: string</span> +<span class="sd"> :param parameters: The parameters to render the SQL query with (not used, leave to override superclass method)</span> +<span class="sd"> :type parameters: mapping or iterable</span> +<span class="sd"> :param dialect: Dialect of BigQuery SQL â legacy SQL or standard SQL</span> +<span class="sd"> :type dialect: string in {'legacy', 'standard'}, default 'legacy'</span> +<span class="sd"> """</span> + <span class="n">service</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_service</span><span class="p">()</span> + <span class="n">project</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_field</span><span class="p">(</span><span class="s1">'project'</span><span class="p">)</span> + <span class="n">connector</span> <span class="o">=</span> <span class="n">BigQueryPandasConnector</span><span class="p">(</span><span class="n">project</span><span class="p">,</span> <span class="n">service</span><span class="p">,</span> <span class="n">dialect</span><span class="o">=</span><span class="n">dialect</span><span class="p">)</span> + <span class="n">schema</span><span class="p">,</span> <span class="n">pages</span> <span class="o">=</span> <span class="n">connector</span><span class="o">.</span><span class="n">run_query</span><span class="p">(</span><span class="n">bql</span><span class="p">)</span> + <span class="n">dataframe_list</span> <span class="o">=</span> <span class="p">[]</span> + + <span class="k">while</span> <span class="nb">len</span><span class="p">(</span><span class="n">pages</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span> + <span class="n">page</span> <span class="o">=</span> <span class="n">pages</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> + <span class="n">dataframe_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">gbq_parse_data</span><span class="p">(</span><span class="n">schema</span><span class="p">,</span> <span class="n">page</span><span class="p">))</span> + + <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">dataframe_list</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span> + <span class="k">return</span> <span class="n">concat</span><span class="p">(</span><span class="n">dataframe_list</span><span class="p">,</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">return</span> <span class="n">gbq_parse_data</span><span class="p">(</span><span class="n">schema</span><span class="p">,</span> <span class="p">[])</span></div> + +<div class="viewcode-block" id="BigQueryHook.table_exists"><a class="viewcode-back" href="../../../../integration.html#airflow.contrib.hooks.bigquery_hook.BigQueryHook.table_exists">[docs]</a> <span class="k">def</span> <span class="nf">table_exists</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">project_id</span><span class="p">,</span> <span class="n">dataset_id</span><span class="p">,</span> <span class="n">table_id</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Checks for the existence of a table in Google BigQuery.</span> + +<span class="sd"> :param project_id: The Google cloud project in which to look for the table. The connection supplied to the hook</span> +<span class="sd"> must provide access to the specified project.</span> +<span class="sd"> :type project_id: string</span> +<span class="sd"> :param dataset_id: The name of the dataset in which to look for the table.</span> +<span class="sd"> storage bucket.</span> +<span class="sd"> :type dataset_id: string</span> +<span class="sd"> :param table_id: The name of the table to check the existence of.</span> +<span class="sd"> :type table_id: string</span> +<span class="sd"> """</span> + <span class="n">service</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_service</span><span class="p">()</span> + <span class="k">try</span><span class="p">:</span> + <span class="n">service</span><span class="o">.</span><span class="n">tables</span><span class="p">()</span><span class="o">.</span><span class="n">get</span><span class="p">(</span> + <span class="n">projectId</span><span class="o">=</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">datasetId</span><span class="o">=</span><span class="n">dataset_id</span><span class="p">,</span> + <span class="n">tableId</span><span class="o">=</span><span class="n">table_id</span> + <span class="p">)</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="k">return</span> <span class="kc">True</span> + <span class="k">except</span> <span class="n">errors</span><span class="o">.</span><span class="n">HttpError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> + <span class="k">if</span> <span class="n">e</span><span class="o">.</span><span class="n">resp</span><span class="p">[</span><span class="s1">'status'</span><span class="p">]</span> <span class="o">==</span> <span class="s1">'404'</span><span class="p">:</span> + <span class="k">return</span> <span class="kc">False</span> + <span class="k">raise</span></div></div> + + +<span class="k">class</span> <span class="nc">BigQueryPandasConnector</span><span class="p">(</span><span class="n">GbqConnector</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> This connector behaves identically to GbqConnector (from Pandas), except</span> +<span class="sd"> that it allows the service to be injected, and disables a call to</span> +<span class="sd"> self.get_credentials(). This allows Airflow to use BigQuery with Pandas</span> +<span class="sd"> without forcing a three legged OAuth connection. Instead, we can inject</span> +<span class="sd"> service account credentials into the binding.</span> +<span class="sd"> """</span> + <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">project_id</span><span class="p">,</span> <span class="n">service</span><span class="p">,</span> <span class="n">reauth</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">dialect</span><span class="o">=</span><span class="s1">'legacy'</span><span class="p">):</span> + <span class="n">gbq_check_google_client_version</span><span class="p">()</span> + <span class="n">gbq_test_google_api_imports</span><span class="p">()</span> + <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> + <span class="bp">self</span><span class="o">.</span><span class="n">reauth</span> <span class="o">=</span> <span class="n">reauth</span> + <span class="bp">self</span><span class="o">.</span><span class="n">service</span> <span class="o">=</span> <span class="n">service</span> + <span class="bp">self</span><span class="o">.</span><span class="n">verbose</span> <span class="o">=</span> <span class="n">verbose</span> + <span class="bp">self</span><span class="o">.</span><span class="n">dialect</span> <span class="o">=</span> <span class="n">dialect</span> + + +<span class="k">class</span> <span class="nc">BigQueryConnection</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> BigQuery does not have a notion of a persistent connection. Thus, these</span> +<span class="sd"> objects are small stateless factories for cursors, which do all the real</span> +<span class="sd"> work.</span> +<span class="sd"> """</span> + + <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span> + <span class="bp">self</span><span class="o">.</span><span class="n">_args</span> <span class="o">=</span> <span class="n">args</span> + <span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span> <span class="o">=</span> <span class="n">kwargs</span> + + <span class="k">def</span> <span class="nf">close</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="sd">""" BigQueryConnection does not have anything to close. """</span> + <span class="k">pass</span> + + <span class="k">def</span> <span class="nf">commit</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="sd">""" BigQueryConnection does not support transactions. """</span> + <span class="k">pass</span> + + <span class="k">def</span> <span class="nf">cursor</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="sd">""" Return a new :py:class:`Cursor` object using the connection. """</span> + <span class="k">return</span> <span class="n">BigQueryCursor</span><span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">_args</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span><span class="p">)</span> + + <span class="k">def</span> <span class="nf">rollback</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> + <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span> + <span class="s2">"BigQueryConnection does not have transactions"</span><span class="p">)</span> + + +<span class="k">class</span> <span class="nc">BigQueryBaseCursor</span><span class="p">(</span><span class="n">LoggingMixin</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> The BigQuery base cursor contains helper methods to execute queries against</span> +<span class="sd"> BigQuery. The methods can be used directly by operators, in cases where a</span> +<span class="sd"> PEP 249 cursor isn't needed.</span> +<span class="sd"> """</span> + <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">service</span><span class="p">,</span> <span class="n">project_id</span><span class="p">):</span> + <span class="bp">self</span><span class="o">.</span><span class="n">service</span> <span class="o">=</span> <span class="n">service</span> + <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> + + <span class="k">def</span> <span class="nf">run_query</span><span class="p">(</span> + <span class="bp">self</span><span class="p">,</span> <span class="n">bql</span><span class="p">,</span> <span class="n">destination_dataset_table</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> + <span class="n">write_disposition</span> <span class="o">=</span> <span class="s1">'WRITE_EMPTY'</span><span class="p">,</span> + <span class="n">allow_large_results</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">udf_config</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> + <span class="n">use_legacy_sql</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="n">maximum_billing_tier</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> + <span class="n">create_disposition</span><span class="o">=</span><span class="s1">'CREATE_IF_NEEDED'</span><span class="p">,</span> + <span class="n">query_params</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Executes a BigQuery SQL query. Optionally persists results in a BigQuery</span> +<span class="sd"> table. See here:</span> + +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs</span> + +<span class="sd"> For more details about these parameters.</span> + +<span class="sd"> :param bql: The BigQuery SQL to execute.</span> +<span class="sd"> :type bql: string</span> +<span class="sd"> :param destination_dataset_table: The dotted <dataset>.<table></span> +<span class="sd"> BigQuery table to save the query results.</span> +<span class="sd"> :param write_disposition: What to do if the table already exists in</span> +<span class="sd"> BigQuery.</span> +<span class="sd"> :type write_disposition: string</span> +<span class="sd"> :param create_disposition: Specifies whether the job is allowed to create new tables.</span> +<span class="sd"> :type create_disposition: string</span> +<span class="sd"> :param allow_large_results: Whether to allow large results.</span> +<span class="sd"> :type allow_large_results: boolean</span> +<span class="sd"> :param udf_config: The User Defined Function configuration for the query.</span> +<span class="sd"> See https://cloud.google.com/bigquery/user-defined-functions for details.</span> +<span class="sd"> :type udf_config: list</span> +<span class="sd"> :param use_legacy_sql: Whether to use legacy SQL (true) or standard SQL (false).</span> +<span class="sd"> :type use_legacy_sql: boolean</span> +<span class="sd"> :param maximum_billing_tier: Positive integer that serves as a multiplier of the basic price.</span> +<span class="sd"> :type maximum_billing_tier: integer</span> +<span class="sd"> """</span> + <span class="n">configuration</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'query'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'query'</span><span class="p">:</span> <span class="n">bql</span><span class="p">,</span> + <span class="s1">'useLegacySql'</span><span class="p">:</span> <span class="n">use_legacy_sql</span><span class="p">,</span> + <span class="s1">'maximumBillingTier'</span><span class="p">:</span> <span class="n">maximum_billing_tier</span> + <span class="p">}</span> + <span class="p">}</span> + + <span class="k">if</span> <span class="n">destination_dataset_table</span><span class="p">:</span> + <span class="k">assert</span> <span class="s1">'.'</span> <span class="ow">in</span> <span class="n">destination_dataset_table</span><span class="p">,</span> <span class="p">(</span> + <span class="s1">'Expected destination_dataset_table in the format of '</span> + <span class="s1">'<dataset>.<table>. Got: </span><span class="si">{}</span><span class="s1">'</span><span class="p">)</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">destination_dataset_table</span><span class="p">)</span> + <span class="n">destination_project</span><span class="p">,</span> <span class="n">destination_dataset</span><span class="p">,</span> <span class="n">destination_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">destination_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">)</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'query'</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span> + <span class="s1">'allowLargeResults'</span><span class="p">:</span> <span class="n">allow_large_results</span><span class="p">,</span> + <span class="s1">'writeDisposition'</span><span class="p">:</span> <span class="n">write_disposition</span><span class="p">,</span> + <span class="s1">'createDisposition'</span><span class="p">:</span> <span class="n">create_disposition</span><span class="p">,</span> + <span class="s1">'destinationTable'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'projectId'</span><span class="p">:</span> <span class="n">destination_project</span><span class="p">,</span> + <span class="s1">'datasetId'</span><span class="p">:</span> <span class="n">destination_dataset</span><span class="p">,</span> + <span class="s1">'tableId'</span><span class="p">:</span> <span class="n">destination_table</span><span class="p">,</span> + <span class="p">}</span> + <span class="p">})</span> + <span class="k">if</span> <span class="n">udf_config</span><span class="p">:</span> + <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">udf_config</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'query'</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span> + <span class="s1">'userDefinedFunctionResources'</span><span class="p">:</span> <span class="n">udf_config</span> + <span class="p">})</span> + + <span class="k">if</span> <span class="n">query_params</span><span class="p">:</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'query'</span><span class="p">][</span><span class="s1">'queryParameters'</span><span class="p">]</span> <span class="o">=</span> <span class="n">query_params</span> + + <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_with_configuration</span><span class="p">(</span><span class="n">configuration</span><span class="p">)</span> + + <span class="k">def</span> <span class="nf">run_extract</span><span class="p">(</span> <span class="c1"># noqa</span> + <span class="bp">self</span><span class="p">,</span> <span class="n">source_project_dataset_table</span><span class="p">,</span> <span class="n">destination_cloud_storage_uris</span><span class="p">,</span> + <span class="n">compression</span><span class="o">=</span><span class="s1">'NONE'</span><span class="p">,</span> <span class="n">export_format</span><span class="o">=</span><span class="s1">'CSV'</span><span class="p">,</span> <span class="n">field_delimiter</span><span class="o">=</span><span class="s1">','</span><span class="p">,</span> + <span class="n">print_header</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Executes a BigQuery extract command to copy data from BigQuery to</span> +<span class="sd"> Google Cloud Storage. See here:</span> + +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs</span> + +<span class="sd"> For more details about these parameters.</span> + +<span class="sd"> :param source_project_dataset_table: The dotted <dataset>.<table></span> +<span class="sd"> BigQuery table to use as the source data.</span> +<span class="sd"> :type source_project_dataset_table: string</span> +<span class="sd"> :param destination_cloud_storage_uris: The destination Google Cloud</span> +<span class="sd"> Storage URI (e.g. gs://some-bucket/some-file.txt). Follows</span> +<span class="sd"> convention defined here:</span> +<span class="sd"> https://cloud.google.com/bigquery/exporting-data-from-bigquery#exportingmultiple</span> +<span class="sd"> :type destination_cloud_storage_uris: list</span> +<span class="sd"> :param compression: Type of compression to use.</span> +<span class="sd"> :type compression: string</span> +<span class="sd"> :param export_format: File format to export.</span> +<span class="sd"> :type export_format: string</span> +<span class="sd"> :param field_delimiter: The delimiter to use when extracting to a CSV.</span> +<span class="sd"> :type field_delimiter: string</span> +<span class="sd"> :param print_header: Whether to print a header for a CSV file extract.</span> +<span class="sd"> :type print_header: boolean</span> +<span class="sd"> """</span> + + <span class="n">source_project</span><span class="p">,</span> <span class="n">source_dataset</span><span class="p">,</span> <span class="n">source_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">source_project_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">var_name</span><span class="o">=</span><span class="s1">'source_project_dataset_table'</span><span class="p">)</span> + + <span class="n">configuration</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'extract'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'sourceTable'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'projectId'</span><span class="p">:</span> <span class="n">source_project</span><span class="p">,</span> + <span class="s1">'datasetId'</span><span class="p">:</span> <span class="n">source_dataset</span><span class="p">,</span> + <span class="s1">'tableId'</span><span class="p">:</span> <span class="n">source_table</span><span class="p">,</span> + <span class="p">},</span> + <span class="s1">'compression'</span><span class="p">:</span> <span class="n">compression</span><span class="p">,</span> + <span class="s1">'destinationUris'</span><span class="p">:</span> <span class="n">destination_cloud_storage_uris</span><span class="p">,</span> + <span class="s1">'destinationFormat'</span><span class="p">:</span> <span class="n">export_format</span><span class="p">,</span> + <span class="p">}</span> + <span class="p">}</span> + + <span class="k">if</span> <span class="n">export_format</span> <span class="o">==</span> <span class="s1">'CSV'</span><span class="p">:</span> + <span class="c1"># Only set fieldDelimiter and printHeader fields if using CSV.</span> + <span class="c1"># Google does not like it if you set these fields for other export</span> + <span class="c1"># formats.</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'extract'</span><span class="p">][</span><span class="s1">'fieldDelimiter'</span><span class="p">]</span> <span class="o">=</span> <span class="n">field_delimiter</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'extract'</span><span class="p">][</span><span class="s1">'printHeader'</span><span class="p">]</span> <span class="o">=</span> <span class="n">print_header</span> + + <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_with_configuration</span><span class="p">(</span><span class="n">configuration</span><span class="p">)</span> + + <span class="k">def</span> <span class="nf">run_copy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> + <span class="n">source_project_dataset_tables</span><span class="p">,</span> + <span class="n">destination_project_dataset_table</span><span class="p">,</span> + <span class="n">write_disposition</span><span class="o">=</span><span class="s1">'WRITE_EMPTY'</span><span class="p">,</span> + <span class="n">create_disposition</span><span class="o">=</span><span class="s1">'CREATE_IF_NEEDED'</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Executes a BigQuery copy command to copy data from one BigQuery table</span> +<span class="sd"> to another. See here:</span> + +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.copy</span> + +<span class="sd"> For more details about these parameters.</span> + +<span class="sd"> :param source_project_dataset_tables: One or more dotted</span> +<span class="sd"> (project:|project.)<dataset>.<table></span> +<span class="sd"> BigQuery tables to use as the source data. Use a list if there are</span> +<span class="sd"> multiple source tables.</span> +<span class="sd"> If <project> is not included, project will be the project defined</span> +<span class="sd"> in the connection json.</span> +<span class="sd"> :type source_project_dataset_tables: list|string</span> +<span class="sd"> :param destination_project_dataset_table: The destination BigQuery</span> +<span class="sd"> table. Format is: (project:|project.)<dataset>.<table></span> +<span class="sd"> :type destination_project_dataset_table: string</span> +<span class="sd"> :param write_disposition: The write disposition if the table already exists.</span> +<span class="sd"> :type write_disposition: string</span> +<span class="sd"> :param create_disposition: The create disposition if the table doesn't exist.</span> +<span class="sd"> :type create_disposition: string</span> +<span class="sd"> """</span> + <span class="n">source_project_dataset_tables</span> <span class="o">=</span> <span class="p">(</span> + <span class="p">[</span><span class="n">source_project_dataset_tables</span><span class="p">]</span> + <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">source_project_dataset_tables</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> + <span class="k">else</span> <span class="n">source_project_dataset_tables</span><span class="p">)</span> + + <span class="n">source_project_dataset_tables_fixup</span> <span class="o">=</span> <span class="p">[]</span> + <span class="k">for</span> <span class="n">source_project_dataset_table</span> <span class="ow">in</span> <span class="n">source_project_dataset_tables</span><span class="p">:</span> + <span class="n">source_project</span><span class="p">,</span> <span class="n">source_dataset</span><span class="p">,</span> <span class="n">source_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">source_project_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">var_name</span><span class="o">=</span><span class="s1">'source_project_dataset_table'</span><span class="p">)</span> + <span class="n">source_project_dataset_tables_fixup</span><span class="o">.</span><span class="n">append</span><span class="p">({</span> + <span class="s1">'projectId'</span><span class="p">:</span> <span class="n">source_project</span><span class="p">,</span> + <span class="s1">'datasetId'</span><span class="p">:</span> <span class="n">source_dataset</span><span class="p">,</span> + <span class="s1">'tableId'</span><span class="p">:</span> <span class="n">source_table</span> + <span class="p">})</span> + + <span class="n">destination_project</span><span class="p">,</span> <span class="n">destination_dataset</span><span class="p">,</span> <span class="n">destination_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">destination_project_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">)</span> + <span class="n">configuration</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'copy'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'createDisposition'</span><span class="p">:</span> <span class="n">create_disposition</span><span class="p">,</span> + <span class="s1">'writeDisposition'</span><span class="p">:</span> <span class="n">write_disposition</span><span class="p">,</span> + <span class="s1">'sourceTables'</span><span class="p">:</span> <span class="n">source_project_dataset_tables_fixup</span><span class="p">,</span> + <span class="s1">'destinationTable'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'projectId'</span><span class="p">:</span> <span class="n">destination_project</span><span class="p">,</span> + <span class="s1">'datasetId'</span><span class="p">:</span> <span class="n">destination_dataset</span><span class="p">,</span> + <span class="s1">'tableId'</span><span class="p">:</span> <span class="n">destination_table</span> + <span class="p">}</span> + <span class="p">}</span> + <span class="p">}</span> + + <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_with_configuration</span><span class="p">(</span><span class="n">configuration</span><span class="p">)</span> + + <span class="k">def</span> <span class="nf">run_load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> + <span class="n">destination_project_dataset_table</span><span class="p">,</span> + <span class="n">schema_fields</span><span class="p">,</span> <span class="n">source_uris</span><span class="p">,</span> + <span class="n">source_format</span><span class="o">=</span><span class="s1">'CSV'</span><span class="p">,</span> + <span class="n">create_disposition</span><span class="o">=</span><span class="s1">'CREATE_IF_NEEDED'</span><span class="p">,</span> + <span class="n">skip_leading_rows</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> + <span class="n">write_disposition</span><span class="o">=</span><span class="s1">'WRITE_EMPTY'</span><span class="p">,</span> + <span class="n">field_delimiter</span><span class="o">=</span><span class="s1">','</span><span class="p">,</span> + <span class="n">max_bad_records</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> + <span class="n">quote_character</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> + <span class="n">allow_quoted_newlines</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">allow_jagged_rows</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">schema_update_options</span><span class="o">=</span><span class="p">(),</span> + <span class="n">src_fmt_configs</span><span class="o">=</span><span class="p">{}):</span> + <span class="sd">"""</span> +<span class="sd"> Executes a BigQuery load command to load data from Google Cloud Storage</span> +<span class="sd"> to BigQuery. See here:</span> + +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs</span> + +<span class="sd"> For more details about these parameters.</span> + +<span class="sd"> :param destination_project_dataset_table:</span> +<span class="sd"> The dotted (<project>.|<project>:)<dataset>.<table> BigQuery table to load</span> +<span class="sd"> data into. If <project> is not included, project will be the project defined</span> +<span class="sd"> in the connection json.</span> +<span class="sd"> :type destination_project_dataset_table: string</span> +<span class="sd"> :param schema_fields: The schema field list as defined here:</span> +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.load</span> +<span class="sd"> :type schema_fields: list</span> +<span class="sd"> :param source_uris: The source Google Cloud</span> +<span class="sd"> Storage URI (e.g. gs://some-bucket/some-file.txt). A single wild</span> +<span class="sd"> per-object name can be used.</span> +<span class="sd"> :type source_uris: list</span> +<span class="sd"> :param source_format: File format to export.</span> +<span class="sd"> :type source_format: string</span> +<span class="sd"> :param create_disposition: The create disposition if the table doesn't exist.</span> +<span class="sd"> :type create_disposition: string</span> +<span class="sd"> :param skip_leading_rows: Number of rows to skip when loading from a CSV.</span> +<span class="sd"> :type skip_leading_rows: int</span> +<span class="sd"> :param write_disposition: The write disposition if the table already exists.</span> +<span class="sd"> :type write_disposition: string</span> +<span class="sd"> :param field_delimiter: The delimiter to use when loading from a CSV.</span> +<span class="sd"> :type field_delimiter: string</span> +<span class="sd"> :param max_bad_records: The maximum number of bad records that BigQuery can</span> +<span class="sd"> ignore when running the job.</span> +<span class="sd"> :type max_bad_records: int</span> +<span class="sd"> :param quote_character: The value that is used to quote data sections in a CSV file.</span> +<span class="sd"> :type quote_character: string</span> +<span class="sd"> :param allow_quoted_newlines: Whether to allow quoted newlines (true) or not (false).</span> +<span class="sd"> :type allow_quoted_newlines: boolean</span> +<span class="sd"> :param allow_jagged_rows: Accept rows that are missing trailing optional columns.</span> +<span class="sd"> The missing values are treated as nulls. If false, records with missing trailing columns</span> +<span class="sd"> are treated as bad records, and if there are too many bad records, an invalid error is</span> +<span class="sd"> returned in the job result. Only applicable when soure_format is CSV.</span> +<span class="sd"> :type allow_jagged_rows: bool</span> +<span class="sd"> :param schema_update_options: Allows the schema of the desitination</span> +<span class="sd"> table to be updated as a side effect of the load job.</span> +<span class="sd"> :type schema_update_options: list</span> +<span class="sd"> :param src_fmt_configs: configure optional fields specific to the source format</span> +<span class="sd"> :type src_fmt_configs: dict</span> +<span class="sd"> """</span> + + <span class="c1"># bigquery only allows certain source formats</span> + <span class="c1"># we check to make sure the passed source format is valid</span> + <span class="c1"># if it's not, we raise a ValueError</span> + <span class="c1"># Refer to this link for more details:</span> + <span class="c1"># https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).sourceFormat</span> + <span class="n">source_format</span> <span class="o">=</span> <span class="n">source_format</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span> + <span class="n">allowed_formats</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"CSV"</span><span class="p">,</span> <span class="s2">"NEWLINE_DELIMITED_JSON"</span><span class="p">,</span> <span class="s2">"AVRO"</span><span class="p">,</span> <span class="s2">"GOOGLE_SHEETS"</span><span class="p">,</span> <span class="s2">"DATASTORE_BACKUP"</span><span class="p">]</span> + <span class="k">if</span> <span class="n">source_format</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">allowed_formats</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"</span><span class="si">{0}</span><span class="s2"> is not a valid source format. "</span> + <span class="s2">"Please use one of the following types: </span><span class="si">{1}</span><span class="s2">"</span> + <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">source_format</span><span class="p">,</span> <span class="n">allowed_formats</span><span class="p">))</span> + + <span class="c1"># bigquery also allows you to define how you want a table's schema to change</span> + <span class="c1"># as a side effect of a load</span> + <span class="c1"># for more details:</span> + <span class="c1"># https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schemaUpdateOptions</span> + <span class="n">allowed_schema_update_options</span> <span class="o">=</span> <span class="p">[</span> + <span class="s1">'ALLOW_FIELD_ADDITION'</span><span class="p">,</span> + <span class="s2">"ALLOW_FIELD_RELAXATION"</span> + <span class="p">]</span> + <span class="k">if</span> <span class="ow">not</span> <span class="nb">set</span><span class="p">(</span><span class="n">allowed_schema_update_options</span><span class="p">)</span><span class="o">.</span><span class="n">issuperset</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">schema_update_options</span><span class="p">)):</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> + <span class="s2">"</span><span class="si">{0}</span><span class="s2"> contains invalid schema update options. "</span> + <span class="s2">"Please only use one or more of the following options: </span><span class="si">{1}</span><span class="s2">"</span> + <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">schema_update_options</span><span class="p">,</span> <span class="n">allowed_schema_update_options</span><span class="p">)</span> + <span class="p">)</span> + + <span class="n">destination_project</span><span class="p">,</span> <span class="n">destination_dataset</span><span class="p">,</span> <span class="n">destination_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">destination_project_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">var_name</span><span class="o">=</span><span class="s1">'destination_project_dataset_table'</span><span class="p">)</span> + + <span class="n">configuration</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'load'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'createDisposition'</span><span class="p">:</span> <span class="n">create_disposition</span><span class="p">,</span> + <span class="s1">'destinationTable'</span><span class="p">:</span> <span class="p">{</span> + <span class="s1">'projectId'</span><span class="p">:</span> <span class="n">destination_project</span><span class="p">,</span> + <span class="s1">'datasetId'</span><span class="p">:</span> <span class="n">destination_dataset</span><span class="p">,</span> + <span class="s1">'tableId'</span><span class="p">:</span> <span class="n">destination_table</span><span class="p">,</span> + <span class="p">},</span> + <span class="s1">'sourceFormat'</span><span class="p">:</span> <span class="n">source_format</span><span class="p">,</span> + <span class="s1">'sourceUris'</span><span class="p">:</span> <span class="n">source_uris</span><span class="p">,</span> + <span class="s1">'writeDisposition'</span><span class="p">:</span> <span class="n">write_disposition</span><span class="p">,</span> + <span class="p">}</span> + <span class="p">}</span> + <span class="k">if</span> <span class="n">schema_fields</span><span class="p">:</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'load'</span><span class="p">][</span><span class="s1">'schema'</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'fields'</span><span class="p">:</span> <span class="n">schema_fields</span> + <span class="p">}</span> + + <span class="k">if</span> <span class="n">schema_update_options</span><span class="p">:</span> + <span class="k">if</span> <span class="n">write_disposition</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"WRITE_APPEND"</span><span class="p">,</span> <span class="s2">"WRITE_TRUNCATE"</span><span class="p">]:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> + <span class="s2">"schema_update_options is only "</span> + <span class="s2">"allowed if write_disposition is "</span> + <span class="s2">"'WRITE_APPEND' or 'WRITE_TRUNCATE'."</span> + <span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span> + <span class="s2">"Adding experimental "</span> + <span class="s2">"'schemaUpdateOptions': </span><span class="si">{0}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">schema_update_options</span><span class="p">)</span> + <span class="p">)</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'load'</span><span class="p">][</span><span class="s1">'schemaUpdateOptions'</span><span class="p">]</span> <span class="o">=</span> <span class="n">schema_update_options</span> + + <span class="k">if</span> <span class="n">max_bad_records</span><span class="p">:</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'load'</span><span class="p">][</span><span class="s1">'maxBadRecords'</span><span class="p">]</span> <span class="o">=</span> <span class="n">max_bad_records</span> + + <span class="c1"># if following fields are not specified in src_fmt_configs,</span> + <span class="c1"># honor the top-level params for backward-compatibility</span> + <span class="k">if</span> <span class="s1">'skipLeadingRows'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">src_fmt_configs</span><span class="p">:</span> + <span class="n">src_fmt_configs</span><span class="p">[</span><span class="s1">'skipLeadingRows'</span><span class="p">]</span> <span class="o">=</span> <span class="n">skip_leading_rows</span> + <span class="k">if</span> <span class="s1">'fieldDelimiter'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">src_fmt_configs</span><span class="p">:</span> + <span class="n">src_fmt_configs</span><span class="p">[</span><span class="s1">'fieldDelimiter'</span><span class="p">]</span> <span class="o">=</span> <span class="n">field_delimiter</span> + <span class="k">if</span> <span class="n">quote_character</span><span class="p">:</span> + <span class="n">src_fmt_configs</span><span class="p">[</span><span class="s1">'quote'</span><span class="p">]</span> <span class="o">=</span> <span class="n">quote_character</span> + <span class="k">if</span> <span class="n">allow_quoted_newlines</span><span class="p">:</span> + <span class="n">src_fmt_configs</span><span class="p">[</span><span class="s1">'allowQuotedNewlines'</span><span class="p">]</span> <span class="o">=</span> <span class="n">allow_quoted_newlines</span> + + <span class="n">src_fmt_to_configs_mapping</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'CSV'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'allowJaggedRows'</span><span class="p">,</span> <span class="s1">'allowQuotedNewlines'</span><span class="p">,</span> <span class="s1">'autodetect'</span><span class="p">,</span> + <span class="s1">'fieldDelimiter'</span><span class="p">,</span> <span class="s1">'skipLeadingRows'</span><span class="p">,</span> <span class="s1">'ignoreUnknownValues'</span><span class="p">,</span> + <span class="s1">'nullMarker'</span><span class="p">,</span> <span class="s1">'quote'</span><span class="p">],</span> + <span class="s1">'DATASTORE_BACKUP'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'projectionFields'</span><span class="p">],</span> + <span class="s1">'NEWLINE_DELIMITED_JSON'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'autodetect'</span><span class="p">,</span> <span class="s1">'ignoreUnknownValues'</span><span class="p">],</span> + <span class="s1">'AVRO'</span><span class="p">:</span> <span class="p">[],</span> + <span class="p">}</span> + <span class="n">valid_configs</span> <span class="o">=</span> <span class="n">src_fmt_to_configs_mapping</span><span class="p">[</span><span class="n">source_format</span><span class="p">]</span> + <span class="n">src_fmt_configs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">src_fmt_configs</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> + <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">valid_configs</span><span class="p">}</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'load'</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">src_fmt_configs</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">allow_jagged_rows</span><span class="p">:</span> + <span class="n">configuration</span><span class="p">[</span><span class="s1">'load'</span><span class="p">][</span><span class="s1">'allowJaggedRows'</span><span class="p">]</span> <span class="o">=</span> <span class="n">allow_jagged_rows</span> + + <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_with_configuration</span><span class="p">(</span><span class="n">configuration</span><span class="p">)</span> + + <span class="k">def</span> <span class="nf">run_with_configuration</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">configuration</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Executes a BigQuery SQL query. See here:</span> + +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs</span> + +<span class="sd"> For more details about the configuration parameter.</span> + +<span class="sd"> :param configuration: The configuration parameter maps directly to</span> +<span class="sd"> BigQuery's configuration field in the job object. See</span> +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/jobs for</span> +<span class="sd"> details.</span> +<span class="sd"> """</span> + <span class="n">jobs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">jobs</span><span class="p">()</span> + <span class="n">job_data</span> <span class="o">=</span> <span class="p">{</span> + <span class="s1">'configuration'</span><span class="p">:</span> <span class="n">configuration</span> + <span class="p">}</span> + + <span class="c1"># Send query and wait for reply.</span> + <span class="n">query_reply</span> <span class="o">=</span> <span class="n">jobs</span> \ + <span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="n">body</span><span class="o">=</span><span class="n">job_data</span><span class="p">)</span> \ + <span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="n">job_id</span> <span class="o">=</span> <span class="n">query_reply</span><span class="p">[</span><span class="s1">'jobReference'</span><span class="p">][</span><span class="s1">'jobId'</span><span class="p">]</span> + + <span class="c1"># Wait for query to finish.</span> + <span class="n">keep_polling_job</span> <span class="o">=</span> <span class="kc">True</span> + <span class="k">while</span> <span class="p">(</span><span class="n">keep_polling_job</span><span class="p">):</span> + <span class="k">try</span><span class="p">:</span> + <span class="n">job</span> <span class="o">=</span> <span class="n">jobs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="n">jobId</span><span class="o">=</span><span class="n">job_id</span><span class="p">)</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="k">if</span> <span class="p">(</span><span class="n">job</span><span class="p">[</span><span class="s1">'status'</span><span class="p">][</span><span class="s1">'state'</span><span class="p">]</span> <span class="o">==</span> <span class="s1">'DONE'</span><span class="p">):</span> + <span class="n">keep_polling_job</span> <span class="o">=</span> <span class="kc">False</span> + <span class="c1"># Check if job had errors.</span> + <span class="k">if</span> <span class="s1">'errorResult'</span> <span class="ow">in</span> <span class="n">job</span><span class="p">[</span><span class="s1">'status'</span><span class="p">]:</span> + <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span> + <span class="s1">'BigQuery job failed. Final error was: </span><span class="si">{}</span><span class="s1">. The job was: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span> + <span class="n">job</span><span class="p">[</span><span class="s1">'status'</span><span class="p">][</span><span class="s1">'errorResult'</span><span class="p">],</span> <span class="n">job</span> + <span class="p">)</span> + <span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Waiting for job to complete : </span><span class="si">%s</span><span class="s1">, </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="n">job_id</span><span class="p">)</span> + <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span> + + <span class="k">except</span> <span class="n">HttpError</span> <span class="k">as</span> <span class="n">err</span><span class="p">:</span> + <span class="k">if</span> <span class="n">err</span><span class="o">.</span><span class="n">resp</span><span class="o">.</span><span class="n">status</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">500</span><span class="p">,</span> <span class="mi">503</span><span class="p">]:</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1">: Retryable error, waiting for job to complete: </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="n">err</span><span class="o">.</span><span class="n">resp</span><span class="o">.</span><span class="n">status</span><span class="p">,</span> <span class="n">job_id</span><span class="p">)</span> + <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span> + <span class="s1">'BigQuery job status check failed. Final error was: </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="n">err</span><span class="o">.</span><span class="n">resp</span><span class="o">.</span><span class="n">status</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">job_id</span> + + <span class="k">def</span> <span class="nf">get_schema</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset_id</span><span class="p">,</span> <span class="n">table_id</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Get the schema for a given datset.table.</span> +<span class="sd"> see https://cloud.google.com/bigquery/docs/reference/v2/tables#resource</span> + +<span class="sd"> :param dataset_id: the dataset ID of the requested table</span> +<span class="sd"> :param table_id: the table ID of the requested table</span> +<span class="sd"> :return: a table schema</span> +<span class="sd"> """</span> + <span class="n">tables_resource</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">tables</span><span class="p">()</span> \ + <span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="n">datasetId</span><span class="o">=</span><span class="n">dataset_id</span><span class="p">,</span> <span class="n">tableId</span><span class="o">=</span><span class="n">table_id</span><span class="p">)</span> \ + <span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="k">return</span> <span class="n">tables_resource</span><span class="p">[</span><span class="s1">'schema'</span><span class="p">]</span> + + <span class="k">def</span> <span class="nf">get_tabledata</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset_id</span><span class="p">,</span> <span class="n">table_id</span><span class="p">,</span> + <span class="n">max_results</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">page_token</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">start_index</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Get the data of a given dataset.table.</span> +<span class="sd"> see https://cloud.google.com/bigquery/docs/reference/v2/tabledata/list</span> + +<span class="sd"> :param dataset_id: the dataset ID of the requested table.</span> +<span class="sd"> :param table_id: the table ID of the requested table.</span> +<span class="sd"> :param max_results: the maximum results to return.</span> +<span class="sd"> :param page_token: page token, returned from a previous call,</span> +<span class="sd"> identifying the result set.</span> +<span class="sd"> :param start_index: zero based index of the starting row to read.</span> +<span class="sd"> :return: map containing the requested rows.</span> +<span class="sd"> """</span> + <span class="n">optional_params</span> <span class="o">=</span> <span class="p">{}</span> + <span class="k">if</span> <span class="n">max_results</span><span class="p">:</span> + <span class="n">optional_params</span><span class="p">[</span><span class="s1">'maxResults'</span><span class="p">]</span> <span class="o">=</span> <span class="n">max_results</span> + <span class="k">if</span> <span class="n">page_token</span><span class="p">:</span> + <span class="n">optional_params</span><span class="p">[</span><span class="s1">'pageToken'</span><span class="p">]</span> <span class="o">=</span> <span class="n">page_token</span> + <span class="k">if</span> <span class="n">start_index</span><span class="p">:</span> + <span class="n">optional_params</span><span class="p">[</span><span class="s1">'startIndex'</span><span class="p">]</span> <span class="o">=</span> <span class="n">start_index</span> + <span class="k">return</span> <span class="p">(</span> + <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">tabledata</span><span class="p">()</span> + <span class="o">.</span><span class="n">list</span><span class="p">(</span> + <span class="n">projectId</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="n">datasetId</span><span class="o">=</span><span class="n">dataset_id</span><span class="p">,</span> + <span class="n">tableId</span><span class="o">=</span><span class="n">table_id</span><span class="p">,</span> <span class="o">**</span><span class="n">optional_params</span><span class="p">)</span> + <span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="p">)</span> + + <span class="k">def</span> <span class="nf">run_table_delete</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">deletion_dataset_table</span><span class="p">,</span> <span class="n">ignore_if_missing</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> Delete an existing table from the dataset;</span> +<span class="sd"> If the table does not exist, return an error unless ignore_if_missing</span> +<span class="sd"> is set to True.</span> + +<span class="sd"> :param deletion_dataset_table: A dotted</span> +<span class="sd"> (<project>.|<project>:)<dataset>.<table> that indicates which table</span> +<span class="sd"> will be deleted.</span> +<span class="sd"> :type deletion_dataset_table: str</span> +<span class="sd"> :param ignore_if_missing: if True, then return success even if the</span> +<span class="sd"> requested table does not exist.</span> +<span class="sd"> :type ignore_if_missing: boolean</span> +<span class="sd"> :return:</span> +<span class="sd"> """</span> + + <span class="k">assert</span> <span class="s1">'.'</span> <span class="ow">in</span> <span class="n">deletion_dataset_table</span><span class="p">,</span> <span class="p">(</span> + <span class="s1">'Expected deletion_dataset_table in the format of '</span> + <span class="s1">'<dataset>.<table>. Got: </span><span class="si">{}</span><span class="s1">'</span><span class="p">)</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">deletion_dataset_table</span><span class="p">)</span> + <span class="n">deletion_project</span><span class="p">,</span> <span class="n">deletion_dataset</span><span class="p">,</span> <span class="n">deletion_table</span> <span class="o">=</span> \ + <span class="n">_split_tablename</span><span class="p">(</span><span class="n">table_input</span><span class="o">=</span><span class="n">deletion_dataset_table</span><span class="p">,</span> + <span class="n">default_project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">)</span> + + <span class="k">try</span><span class="p">:</span> + <span class="n">tables_resource</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">tables</span><span class="p">()</span> \ + <span class="o">.</span><span class="n">delete</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="n">deletion_project</span><span class="p">,</span> + <span class="n">datasetId</span><span class="o">=</span><span class="n">deletion_dataset</span><span class="p">,</span> + <span class="n">tableId</span><span class="o">=</span><span class="n">deletion_table</span><span class="p">)</span> \ + <span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Deleted table </span><span class="si">%s</span><span class="s1">:</span><span class="si">%s</span><span class="s1">.</span><span class="si">%s</span><span class="s1">.'</span><span class="p">,</span> + <span class="n">deletion_project</span><span class="p">,</span> <span class="n">deletion_dataset</span><span class="p">,</span> <span class="n">deletion_table</span><span class="p">)</span> + <span class="k">except</span> <span class="n">HttpError</span><span class="p">:</span> + <span class="k">if</span> <span class="ow">not</span> <span class="n">ignore_if_missing</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span> + <span class="s1">'Table deletion failed. Table does not exist.'</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Table does not exist. Skipping.'</span><span class="p">)</span> + + + <span class="k">def</span> <span class="nf">run_table_upsert</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset_id</span><span class="p">,</span> <span class="n">table_resource</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span> + <span class="sd">"""</span> +<span class="sd"> creates a new, empty table in the dataset;</span> +<span class="sd"> If the table already exists, update the existing table.</span> +<span class="sd"> Since BigQuery does not natively allow table upserts, this is not an</span> +<span class="sd"> atomic operation.</span> + +<span class="sd"> :param dataset_id: the dataset to upsert the table into.</span> +<span class="sd"> :type dataset_id: str</span> +<span class="sd"> :param table_resource: a table resource. see</span> +<span class="sd"> https://cloud.google.com/bigquery/docs/reference/v2/tables#resource</span> +<span class="sd"> :type table_resource: dict</span> +<span class="sd"> :param project_id: the project to upsert the table into. If None,</span> +<span class="sd"> project will be self.project_id.</span> +<span class="sd"> :return:</span> +<span class="sd"> """</span> + <span class="c1"># check to see if the table exists</span> + <span class="n">table_id</span> <span class="o">=</span> <span class="n">table_resource</span><span class="p">[</span><span class="s1">'tableReference'</span><span class="p">][</span><span class="s1">'tableId'</span><span class="p">]</span> + <span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> <span class="k">if</span> <span class="n">project_id</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> + <span class="n">tables_list_resp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">tables</span><span class="p">()</span><span class="o">.</span><span class="n">list</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">datasetId</span><span class="o">=</span><span class="n">dataset_id</span><span class="p">)</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="k">while</span> <span class="kc">True</span><span class="p">:</span> + <span class="k">for</span> <span class="n">table</span> <span class="ow">in</span> <span class="n">tables_list_resp</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'tables'</span><span class="p">,</span> <span class="p">[]):</span> + <span class="k">if</span> <span class="n">table</span><span class="p">[</span><span class="s1">'tableReference'</span><span class="p">][</span><span class="s1">'tableId'</span><span class="p">]</span> <span class="o">==</span> <span class="n">table_id</span><span class="p">:</span> + <span class="c1"># found the table, do update</span> + <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span> + <span class="s1">'Table </span><span class="si">%s</span><span class="s1">:</span><span class="si">%s</span><span class="s1">.</span><span class="si">%s</span><span class="s1"> exists, updating.'</span><span class="p">,</span> + <span class="n">project_id</span><span class="p">,</span> <span class="n">dataset_id</span><span class="p">,</span> <span class="n">table_id</span> + <span class="p">)</span> + <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">service</span><span class="o">.</span><span class="n">tables</span><span class="p">()</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">projectId</span><span class="o">=</span><span class="n">project_id</span><span class="p">,</span> + <span class="n">datasetId</span><span class="o">=</span><span class="n">dataset_id</span><span class="p">,</span> + <span class="n">tableId</span><span class="o">=</span><span class="n">table_id</span><span class="p">,</span> + <span class="n">body</span><span class="o">=</span><span class="n">table_resource</span><span class="p">)</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span> + <span class="c1"># If there is a next page, we need to check the next page.</span> + <span class="k">if</span> <span class="s1">'nextPageToken'</span> <span class="ow">in</span> <span class="n">tables_list_resp</span><span class="p">:</span> +
<TRUNCATED>
