| --- |
| layout: global |
| title: Accessing OpenStack Swift from Spark |
| --- |
| |
| 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>. |
| Current Swift driver requires Swift to use Keystone authentication method. |
| |
| # Configuring Swift for Better Data Locality |
| |
| 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 |
| [available here](https://github.com/openstack/swift/blob/master/swift/common/middleware/list_endpoints.py). |
| |
| |
| # Dependencies |
| |
| The Spark application should include <code>hadoop-openstack</code> dependency. |
| For example, for Maven support, add the following to the <code>pom.xml</code> file: |
| |
| {% highlight xml %} |
| <dependencyManagement> |
| ... |
| <dependency> |
| <groupId>org.apache.hadoop</groupId> |
| <artifactId>hadoop-openstack</artifactId> |
| <version>2.3.0</version> |
| </dependency> |
| ... |
| </dependencyManagement> |
| {% endhighlight %} |
| |
| |
| # Configuration Parameters |
| |
| Create <code>core-site.xml</code> and place it inside Spark's <code>conf</code> directory. |
| There are two main categories of parameters that should to be configured: declaration of the |
| Swift driver and the parameters that are required by Keystone. |
| |
| Configuration of Hadoop to use Swift File system achieved via |
| |
| <table class="table"> |
| <tr><th>Property Name</th><th>Value</th></tr> |
| <tr> |
| <td>fs.swift.impl</td> |
| <td>org.apache.hadoop.fs.swift.snative.SwiftNativeFileSystem</td> |
| </tr> |
| </table> |
| |
| Additional parameters required by Keystone (v2.0) and should be provided to the Swift driver. Those |
| parameters will be used to perform authentication in Keystone to access Swift. The following table |
| contains a list of Keystone mandatory parameters. <code>PROVIDER</code> can be any name. |
| |
| <table class="table"> |
| <tr><th>Property Name</th><th>Meaning</th><th>Required</th></tr> |
| <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 if all URLs are public</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.impl</name> |
| <value>org.apache.hadoop.fs.swift.snative.SwiftNativeFileSystem</value> |
| </property> |
| <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>. |