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| = Using Pentaho With Apache Ignite |
| |
| == Overview |
| |
| http://www.pentaho.com[Pentaho, window=_blank] is a comprehensive platform that provides the ability to extract, |
| transform, visualize, and analyze your data easily. Pentaho Data Integration uses the Java Database Connectivity (JDBC) |
| API in order to connect to your database. |
| |
| Apache Ignite is shipped with its own implementation of the JDBC driver which makes it possible to connect to Ignite |
| from the Pentaho platform and analyze the data stored in a distributed Ignite cluster. |
| |
| == Installation and Configuration |
| |
| * Download and Install Pentaho platform. Refer to the official https://help.pentaho.com/Documentation/7.1/Installation[Pentaho documentation, window=_blank]. |
| * After Pentaho is successfully installed, you will need to install the Apache Ignite JDBC Driver using the JDBC Distribution Tool. |
| To do so, download Apache Ignite and locate `{apache-ignite}/libs/ignite-core-{version}.jar` and copy the file to the `{pentaho}/jdbc-distribution` directory. |
| * Open a command line tool, navigate to the `{pentaho}/jdbc-distribution` directory and run the following script `./distribute-files.sh ignite-core-{version}.jar` |
| |
| == Ignite JDBC Driver Setup |
| |
| The next step is to set up the JDBC driver and connect to the cluster. Below you will find the minimal number of actions |
| that need to be taken. Refer to the link:SQL/JDBC/jdbc-driver[JDBC Thin Driver] documentation for the more details. |
| |
| . Open your command line tool, go to the `{pentaho}/design-tools/data-integration` directory and launch Pentaho Data Integration using the `./spoon.sh` script. |
| . Once the screen like the one below appears, click on the `File` menu option and create a new transformation - `New -> Transformation` |
| + |
| image::images/tools/pentaho-new-transformation.png[Pentaho New Transformation] |
| |
| . You can create a new Database Connection using setting the following parameters in Pentaho: |
| + |
| [opts="header"] |
| |=== |
| |Pentaho Property Name | Value |
| |
| | Connection Name| Set some custom name such as `IgniteConnection` |
| | Connection Type| Select the `Generic database` option. |
| | Access| Select the `Native (JDBC)` option. |
| | Custom Connection URL| `jdbc:ignite:thin://localhost:10800` or the real address of a cluster node to connect to. |
| | Custom Driver Class Name| `org.apache.ignite.IgniteJdbcThinDriver` |
| |=== |
| |
| . Click the `Test` button to check that the connection can be established: |
| + |
| image::images/tools/pentaho-ignite-connection.png[Pentaho Ignite Connection] |
| |
| == Data Querying and Analysis |
| |
| Once the connection between Ignite and Pentaho is established , you can query, transform, and analyze the data in a |
| variety of ways supported by Pentaho. For more details, refer to the official Pentaho documentation. |
| |
| image::images/tools/pentaho-running-and-inspecting-data.png[Pentaho Running Queries] |
