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Create an Elasticsearch Data Source for Denodo Platform

Use the CData JDBC Driver for Elasticsearch to create a virtual data source for Elasticsearch data in the Denodo Virtual DataPort Administrator.

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for Elasticsearch, Denodo users can work with live Elasticsearch data alongside other enterprise data sources. This article walks through creating a virtual data source for Elasticsearch in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Elasticsearch data. When you issue complex SQL queries to Elasticsearch, the driver pushes supported SQL operations, like filters and aggregations, directly to Elasticsearch and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Elasticsearch data using native data types.

Create an Elasticsearch Virtual Port

To connect to live Elasticsearch data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

  1. Download the CData JDBC Driver for Elasticsearch installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Elasticsearch\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-elasticsearch-19).
  3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
  4. Right-click "admin" and select New -> Data source -> JDBC.
  5. Configure the JDBC Connection:
    • Name: your choice, e.g.: elasticsearch
    • Database adapter: Generic
    • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-elasticsearch-19
    • Driver class: cdata.jdbc.elasticsearch.ElasticsearchDriver
    • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

      jdbc:elasticsearch:Server=127.0.0.1;Port=9200;User=admin;Password=123456;

      Information on creating the Database URI follows:

      Built-In Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Elasticsearch JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.elasticsearch.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

      The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

      Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

  6. Click the "Test connection" button to confirm the configuration and click Save.

View Elasticsearch Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Elasticsearch data for use in the Denodo Platform.

  1. Click the "Create base view" button in the newly created VirtualPort (admin.Elasticsearch).
  2. Expand the object tree and select the objects (tables) you wish to import.
  3. Click the "Create selected" button to create views of the Elasticsearch data.
    Optional: Click "Create associations from foreign keys" to define relationships between the objects.
  4. With the view(s) created, navigate to a table (cdata_elasticsearch_orders) in the Server Explorer and double-click the selected table.
  5. In the new tab, click "Execution panel" to open a query panel.
  6. Customize the query in the "Execute" tab or use the default:
    SELECT * FROM cdata_elasticsearch_orders CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
    
  7. Click Execute to view the data.

With the base view created, you can now work with live Elasticsearch data like you would any other data source in Denodo Platform, for example, querying Elasticsearch in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for Elasticsearch and start working with your live Elasticsearch data in Denodo Platform. Reach out to our Support Team if you have any questions.