Project: Apache Spark (App Definition and Development / Streaming & Messaging)
File: storage-openstack-swift.md

layout: global title: Accessing OpenStack Swift from Spark license: | Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Spark's support for Hadoop InputFormat allows it to process data in OpenStack Swift using the same URI formats as in Hadoop. You can specify a path in Swift as input through a URI of the form <code>swift://container.PROVIDER/path</code>. You will also need to set your Swift security credentials, through <code>core-site.xml</code> or via <code>SparkContext.hadoopConfiguration</code>. The current Swift driver requires Swift to use the Keystone authentication method, or its Rackspace-specific predecessor. Although not mandatory, it is recommended to configure the proxy server of Swift with <code>list_endpoints</code> to have better data locality. More information is . The Spark application should include <code>hadoop-openstack</code> dependency, which can be done by including the `hadoop-cloud` module for the specific version of spark used. For example, for Maven support, add the following to the <code>pom.xml</code> file: {% highlight xml %} <dependencyManagement> ... <dependency> <groupId>org.apache.spark</groupId> <artifactId>hadoop-cloud_2.13</artifactId> <version>${spark.version}</version> </dependency> ... </dependencyManagement> {% endhighlight %} Create <code>core-site.xml</code> and place it inside Spark's <code>conf</code> directory. The main category of parameters that should be configured is the authentication parameters required by Keystone. The following table contains a list of Keystone mandatory parameters. <code>PROVIDER</code> can be any (alphanumeric) name. <table> <thead><tr><th>Property Name</th><th>Meaning</th><th>Required</th></tr></thead> <tr> <td><code>fs.swift.service.PROVIDER.auth.url</code></td> <td>Keystone Authentication URL</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.auth.endpoint.prefix</code></td> <td>Keystone endpoints prefix</td> <td>Optional</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.tenant</code></td> <td>Tenant</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.username</code></td> <td>Username</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.password</code></td> <td>Password</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.http.port</code></td> <td>HTTP port</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.region</code></td> <td>Keystone region</td> <td>Mandatory</td> </tr> <tr> <td><code>fs.swift.service.PROVIDER.public</code></td> <td>Indicates whether to use the public (off cloud) or private (in cloud; no transfer fees) endpoints</td> <td>Mandatory</td> </tr> </table> For example, assume <code>PROVIDER=SparkTest</code> and Keystone contains user <code>tester</code> with password <code>testing</code> defined for tenant <code>test</code>. Then <code>core-site.xml</code> should include: {% highlight xml %} <configuration> <property> <name>fs.swift.service.SparkTest.auth.url</name> <value>http://127.0.0.1:5000/v2.0/tokens</value> </property> <property> <name>fs.swift.service.SparkTest.auth.endpoint.prefix</name> <value>endpoints</value> </property> <name>fs.swift.service.SparkTest.http.port</name> <value>8080</value> </property> <property> <name>fs.swift.service.SparkTest.region</name> <value>RegionOne</value> </property> <property> <name>fs.swift.service.SparkTest.public</name> <value>true</value> </property> <property> <name>fs.swift.service.SparkTest.tenant</name> <value>test</value> </property> <property> <name>fs.swift.service.SparkTest.username</name> <value>tester</value> </property> <property> <name>fs.swift.service.SparkTest.password</name> <value>testing</value> </property> </configuration> {% endhighlight %} Notice that <code>fs.swift.service.PROVIDER.tenant</code>, <code>fs.swift.service.PROVIDER.username</code>, <code>fs.swift.service.PROVIDER.password</code> contains sensitive information and keeping them in <code>core-site.xml</code> is not always a good approach. We suggest to keep those parameters in <code>core-site.xml</code> for testing purposes when running Spark via <code>spark-shell</code>. For job submissions they should be provided via <code>sparkContext.hadoopConfiguration</code>.