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| <h1>Source code for airflow.contrib.operators.spark_jdbc_operator</h1><div class="highlight"><pre> |
| <span></span><span class="c1"># -*- coding: utf-8 -*-</span> |
| <span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span> |
| <span class="c1"># or more contributor license agreements. See the NOTICE file</span> |
| <span class="c1"># distributed with this work for additional information</span> |
| <span class="c1"># regarding copyright ownership. The ASF licenses this file</span> |
| <span class="c1"># to you under the Apache License, Version 2.0 (the</span> |
| <span class="c1"># "License"); you may not use this file except in compliance</span> |
| <span class="c1"># with the License. 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,</span> |
| <span class="c1"># software distributed under the License is distributed on an</span> |
| <span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span> |
| <span class="c1"># KIND, either express or implied. See the License for the</span> |
| <span class="c1"># specific language governing permissions and limitations</span> |
| <span class="c1"># under the License.</span> |
| <span class="c1">#</span> |
| <span class="kn">from</span> <span class="nn">airflow.contrib.operators.spark_submit_operator</span> <span class="k">import</span> <span class="n">SparkSubmitOperator</span> |
| <span class="kn">from</span> <span class="nn">airflow.contrib.hooks.spark_jdbc_hook</span> <span class="k">import</span> <span class="n">SparkJDBCHook</span> |
| <span class="kn">from</span> <span class="nn">airflow.utils.decorators</span> <span class="k">import</span> <span class="n">apply_defaults</span> |
| |
| |
| <div class="viewcode-block" id="SparkJDBCOperator"><a class="viewcode-back" href="../../../../_api/airflow/contrib/operators/spark_jdbc_operator/index.html#airflow.contrib.operators.spark_jdbc_operator.SparkJDBCOperator">[docs]</a><span class="k">class</span> <span class="nc">SparkJDBCOperator</span><span class="p">(</span><span class="n">SparkSubmitOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> This operator extends the SparkSubmitOperator specifically for performing data</span> |
| <span class="sd"> transfers to/from JDBC-based databases with Apache Spark. As with the</span> |
| <span class="sd"> SparkSubmitOperator, it assumes that the "spark-submit" binary is available on the</span> |
| <span class="sd"> PATH.</span> |
| |
| <span class="sd"> :param spark_app_name: Name of the job (default airflow-spark-jdbc)</span> |
| <span class="sd"> :type spark_app_name: str</span> |
| <span class="sd"> :param spark_conn_id: Connection id as configured in Airflow administration</span> |
| <span class="sd"> :type spark_conn_id: str</span> |
| <span class="sd"> :param spark_conf: Any additional Spark configuration properties</span> |
| <span class="sd"> :type spark_conf: dict</span> |
| <span class="sd"> :param spark_py_files: Additional python files used (.zip, .egg, or .py)</span> |
| <span class="sd"> :type spark_py_files: str</span> |
| <span class="sd"> :param spark_files: Additional files to upload to the container running the job</span> |
| <span class="sd"> :type spark_files: str</span> |
| <span class="sd"> :param spark_jars: Additional jars to upload and add to the driver and</span> |
| <span class="sd"> executor classpath</span> |
| <span class="sd"> :type spark_jars: str</span> |
| <span class="sd"> :param num_executors: number of executor to run. This should be set so as to manage</span> |
| <span class="sd"> the number of connections made with the JDBC database</span> |
| <span class="sd"> :type num_executors: int</span> |
| <span class="sd"> :param executor_cores: Number of cores per executor</span> |
| <span class="sd"> :type executor_cores: int</span> |
| <span class="sd"> :param executor_memory: Memory per executor (e.g. 1000M, 2G)</span> |
| <span class="sd"> :type executor_memory: str</span> |
| <span class="sd"> :param driver_memory: Memory allocated to the driver (e.g. 1000M, 2G)</span> |
| <span class="sd"> :type driver_memory: str</span> |
| <span class="sd"> :param verbose: Whether to pass the verbose flag to spark-submit for debugging</span> |
| <span class="sd"> :type verbose: bool</span> |
| <span class="sd"> :param keytab: Full path to the file that contains the keytab</span> |
| <span class="sd"> :type keytab: str</span> |
| <span class="sd"> :param principal: The name of the kerberos principal used for keytab</span> |
| <span class="sd"> :type principal: str</span> |
| <span class="sd"> :param cmd_type: Which way the data should flow. 2 possible values:</span> |
| <span class="sd"> spark_to_jdbc: data written by spark from metastore to jdbc</span> |
| <span class="sd"> jdbc_to_spark: data written by spark from jdbc to metastore</span> |
| <span class="sd"> :type cmd_type: str</span> |
| <span class="sd"> :param jdbc_table: The name of the JDBC table</span> |
| <span class="sd"> :type jdbc_table: str</span> |
| <span class="sd"> :param jdbc_conn_id: Connection id used for connection to JDBC database</span> |
| <span class="sd"> :type jdbc_conn_id: str</span> |
| <span class="sd"> :param jdbc_driver: Name of the JDBC driver to use for the JDBC connection. This</span> |
| <span class="sd"> driver (usually a jar) should be passed in the 'jars' parameter</span> |
| <span class="sd"> :type jdbc_driver: str</span> |
| <span class="sd"> :param metastore_table: The name of the metastore table,</span> |
| <span class="sd"> :type metastore_table: str</span> |
| <span class="sd"> :param jdbc_truncate: (spark_to_jdbc only) Whether or not Spark should truncate or</span> |
| <span class="sd"> drop and recreate the JDBC table. This only takes effect if</span> |
| <span class="sd"> 'save_mode' is set to Overwrite. Also, if the schema is</span> |
| <span class="sd"> different, Spark cannot truncate, and will drop and recreate</span> |
| <span class="sd"> :type jdbc_truncate: bool</span> |
| <span class="sd"> :param save_mode: The Spark save-mode to use (e.g. overwrite, append, etc.)</span> |
| <span class="sd"> :type save_mode: str</span> |
| <span class="sd"> :param save_format: (jdbc_to_spark-only) The Spark save-format to use (e.g. parquet)</span> |
| <span class="sd"> :type save_format: str</span> |
| <span class="sd"> :param batch_size: (spark_to_jdbc only) The size of the batch to insert per round</span> |
| <span class="sd"> trip to the JDBC database. Defaults to 1000</span> |
| <span class="sd"> :type batch_size: int</span> |
| <span class="sd"> :param fetch_size: (jdbc_to_spark only) The size of the batch to fetch per round trip</span> |
| <span class="sd"> from the JDBC database. Default depends on the JDBC driver</span> |
| <span class="sd"> :type fetch_size: int</span> |
| <span class="sd"> :param num_partitions: The maximum number of partitions that can be used by Spark</span> |
| <span class="sd"> simultaneously, both for spark_to_jdbc and jdbc_to_spark</span> |
| <span class="sd"> operations. This will also cap the number of JDBC connections</span> |
| <span class="sd"> that can be opened</span> |
| <span class="sd"> :type num_partitions: int</span> |
| <span class="sd"> :param partition_column: (jdbc_to_spark-only) A numeric column to be used to</span> |
| <span class="sd"> partition the metastore table by. If specified, you must</span> |
| <span class="sd"> also specify:</span> |
| <span class="sd"> num_partitions, lower_bound, upper_bound</span> |
| <span class="sd"> :type partition_column: str</span> |
| <span class="sd"> :param lower_bound: (jdbc_to_spark-only) Lower bound of the range of the numeric</span> |
| <span class="sd"> partition column to fetch. If specified, you must also specify:</span> |
| <span class="sd"> num_partitions, partition_column, upper_bound</span> |
| <span class="sd"> :type lower_bound: int</span> |
| <span class="sd"> :param upper_bound: (jdbc_to_spark-only) Upper bound of the range of the numeric</span> |
| <span class="sd"> partition column to fetch. If specified, you must also specify:</span> |
| <span class="sd"> num_partitions, partition_column, lower_bound</span> |
| <span class="sd"> :type upper_bound: int</span> |
| <span class="sd"> :param create_table_column_types: (spark_to_jdbc-only) The database column data types</span> |
| <span class="sd"> to use instead of the defaults, when creating the</span> |
| <span class="sd"> table. Data type information should be specified in</span> |
| <span class="sd"> the same format as CREATE TABLE columns syntax</span> |
| <span class="sd"> (e.g: "name CHAR(64), comments VARCHAR(1024)").</span> |
| <span class="sd"> The specified types should be valid spark sql data</span> |
| <span class="sd"> types.</span> |
| <span class="sd"> """</span> |
| |
| <span class="nd">@apply_defaults</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">spark_app_name</span><span class="o">=</span><span class="s1">'airflow-spark-jdbc'</span><span class="p">,</span> |
| <span class="n">spark_conn_id</span><span class="o">=</span><span class="s1">'spark-default'</span><span class="p">,</span> |
| <span class="n">spark_conf</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">spark_py_files</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">spark_files</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">spark_jars</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">num_executors</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">executor_cores</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">executor_memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">driver_memory</span><span class="o">=</span><span class="kc">None</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">keytab</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">principal</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">cmd_type</span><span class="o">=</span><span class="s1">'spark_to_jdbc'</span><span class="p">,</span> |
| <span class="n">jdbc_table</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">jdbc_conn_id</span><span class="o">=</span><span class="s1">'jdbc-default'</span><span class="p">,</span> |
| <span class="n">jdbc_driver</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">metastore_table</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">jdbc_truncate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="n">save_mode</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">save_format</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">batch_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">fetch_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">num_partitions</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">partition_column</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">lower_bound</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">upper_bound</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">create_table_column_types</span><span class="o">=</span><span class="kc">None</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="nb">super</span><span class="p">(</span><span class="n">SparkJDBCOperator</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="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">_spark_app_name</span> <span class="o">=</span> <span class="n">spark_app_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_spark_conn_id</span> <span class="o">=</span> <span class="n">spark_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_spark_conf</span> <span class="o">=</span> <span class="n">spark_conf</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_spark_py_files</span> <span class="o">=</span> <span class="n">spark_py_files</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_spark_files</span> <span class="o">=</span> <span class="n">spark_files</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_spark_jars</span> <span class="o">=</span> <span class="n">spark_jars</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_num_executors</span> <span class="o">=</span> <span class="n">num_executors</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_executor_cores</span> <span class="o">=</span> <span class="n">executor_cores</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_executor_memory</span> <span class="o">=</span> <span class="n">executor_memory</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_driver_memory</span> <span class="o">=</span> <span class="n">driver_memory</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">_keytab</span> <span class="o">=</span> <span class="n">keytab</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_principal</span> <span class="o">=</span> <span class="n">principal</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_cmd_type</span> <span class="o">=</span> <span class="n">cmd_type</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_table</span> <span class="o">=</span> <span class="n">jdbc_table</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_conn_id</span> <span class="o">=</span> <span class="n">jdbc_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_driver</span> <span class="o">=</span> <span class="n">jdbc_driver</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_metastore_table</span> <span class="o">=</span> <span class="n">metastore_table</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_truncate</span> <span class="o">=</span> <span class="n">jdbc_truncate</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_save_mode</span> <span class="o">=</span> <span class="n">save_mode</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_save_format</span> <span class="o">=</span> <span class="n">save_format</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span> <span class="o">=</span> <span class="n">batch_size</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_fetch_size</span> <span class="o">=</span> <span class="n">fetch_size</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_num_partitions</span> <span class="o">=</span> <span class="n">num_partitions</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_partition_column</span> <span class="o">=</span> <span class="n">partition_column</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_lower_bound</span> <span class="o">=</span> <span class="n">lower_bound</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_upper_bound</span> <span class="o">=</span> <span class="n">upper_bound</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_create_table_column_types</span> <span class="o">=</span> <span class="n">create_table_column_types</span> |
| |
| <div class="viewcode-block" id="SparkJDBCOperator.execute"><a class="viewcode-back" href="../../../../_api/airflow/contrib/operators/spark_jdbc_operator/index.html#airflow.contrib.operators.spark_jdbc_operator.SparkJDBCOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Call the SparkSubmitHook to run the provided spark job</span> |
| <span class="sd"> """</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_hook</span> <span class="o">=</span> <span class="n">SparkJDBCHook</span><span class="p">(</span> |
| <span class="n">spark_app_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_app_name</span><span class="p">,</span> |
| <span class="n">spark_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_conn_id</span><span class="p">,</span> |
| <span class="n">spark_conf</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_conf</span><span class="p">,</span> |
| <span class="n">spark_py_files</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_py_files</span><span class="p">,</span> |
| <span class="n">spark_files</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_files</span><span class="p">,</span> |
| <span class="n">spark_jars</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_spark_jars</span><span class="p">,</span> |
| <span class="n">num_executors</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_num_executors</span><span class="p">,</span> |
| <span class="n">executor_cores</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_executor_cores</span><span class="p">,</span> |
| <span class="n">executor_memory</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_executor_memory</span><span class="p">,</span> |
| <span class="n">driver_memory</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_driver_memory</span><span class="p">,</span> |
| <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_verbose</span><span class="p">,</span> |
| <span class="n">keytab</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_keytab</span><span class="p">,</span> |
| <span class="n">principal</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_principal</span><span class="p">,</span> |
| <span class="n">cmd_type</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_cmd_type</span><span class="p">,</span> |
| <span class="n">jdbc_table</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_table</span><span class="p">,</span> |
| <span class="n">jdbc_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_conn_id</span><span class="p">,</span> |
| <span class="n">jdbc_driver</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_driver</span><span class="p">,</span> |
| <span class="n">metastore_table</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_metastore_table</span><span class="p">,</span> |
| <span class="n">jdbc_truncate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_jdbc_truncate</span><span class="p">,</span> |
| <span class="n">save_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_save_mode</span><span class="p">,</span> |
| <span class="n">save_format</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_save_format</span><span class="p">,</span> |
| <span class="n">batch_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span><span class="p">,</span> |
| <span class="n">fetch_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_fetch_size</span><span class="p">,</span> |
| <span class="n">num_partitions</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_num_partitions</span><span class="p">,</span> |
| <span class="n">partition_column</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_partition_column</span><span class="p">,</span> |
| <span class="n">lower_bound</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_lower_bound</span><span class="p">,</span> |
| <span class="n">upper_bound</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_upper_bound</span><span class="p">,</span> |
| <span class="n">create_table_column_types</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_create_table_column_types</span> |
| <span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_hook</span><span class="o">.</span><span class="n">submit_jdbc_job</span><span class="p">()</span></div> |
| |
| <div class="viewcode-block" id="SparkJDBCOperator.on_kill"><a class="viewcode-back" href="../../../../_api/airflow/contrib/operators/spark_jdbc_operator/index.html#airflow.contrib.operators.spark_jdbc_operator.SparkJDBCOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_hook</span><span class="o">.</span><span class="n">on_kill</span><span class="p">()</span></div></div> |
| </pre></div> |
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