Import Azure Data Lake Storage Data into Apache Solr

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Azure Data Lake Storage JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Azure Data Lake Storage.



Use the CData JDBC Driver for Azure Data Lake Storage in Data Import Handler and create an automated import of Azure Data Lake Storage data to Apache Solr Enterprise Search platform.

The Apache Solr platform is a popular, blazing-fast, open source enterprise search solution built on Apache Lucene.

Apache Solr is equipped with the Data Import Handler (DIH), which can import data from databases and, XML, CSV, and JSON files. When paired with the CData JDBC Driver for Azure Data Lake Storage, you can easily import Azure Data Lake Storage data to Apache Solr. In this article, we show step-by-step how to use CData JDBC Driver in Apache Solr Data Import Handler and import Azure Data Lake Storage data for use in enterprise search.

Create an Apache Solr Core and a Schema for Importing Azure Data Lake Storage

  1. Run Apache Solr and create a Core. > solr create -c CDataCore For this article, Solr is running as a standalone instance in the local environment and you can access the core at this URL: http://localhost:8983/solr/#/CDataCore/core-overview
  2. Create a schema for the Azure Data Lake Storage data to be imported. LastModifiedDate, if it exists in Azure Data Lake Storage, is used for incremental updates. If it does not exist, you cannot do the deltaquery in the later section.
  3. Install CData Azure Data Lake Storage JDBC Driver. Copy the JAR and license file (cdata.adls.jar and cdata.jdbc.adls.lic) to the Solr directory.
    • CData JDBC JAR file: C:\Program Files\CData\CData JDBC Driver for Azure Data Lake Storage 2019\lib
    • Apache Solr: solr-8.5.2\server\lib

Now we are ready to use Azure Data Lake Storage data in Solr.

Define an Import of Azure Data Lake Storage to Apache Solr

In this section, we walk through configuring the Data Import Handler.

  1. Modify the Config file of the created Core. Add the JAR file reference and add the DIH RequestHander definition. solr-data-config.xml
  2. Next, create a solr-data-config.xml at the same level. In this article, we retrieve a table from Azure Data Lake Storage, but you can use a custom SQL query to request data as well. The Driver Class and a sample JDBC Connection string are in the sample code below.
  3. In the query section, set the SQL query that select the data from Azure Data Lake Storage. deltaQuery and deltaImportquery define the ID and the conditions when using incremental updates from the second import of the same entity.
  4. After all settings are done, restart Solr. > solr stop -all > solr start

Run a DataImport of Azure Data Lake Storage Data.

  1. Execute DataImport from the URL below:
    http://localhost:8983/solr/#/CDataCore/dataimport//dataimport
  2. Select the "full-import" Command, choose the table from Entity, and click "Execute."
  3. Check the result of the import from the Query.
  4. Try an incremental update using deltaQuery. Modify some data in the original Azure Data Lake Storage data set. Select the "delta-import" command this time from DataImport window and click "Execute."
  5. Check the result of the incremental update.

Using the CData JDBC Driver for Azure Data Lake Storage you are able to create an automated import of Azure Data Lake Storage data into Apache Solr. Download a free, 30 day trial of any of the 200+ CData JDBC Drivers and get started today.