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Get the Report →How to import Elasticsearch Data into Apache Solr
Use the CData JDBC Driver for Elasticsearch in Data Import Handler and create an automated import of Elasticsearch 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 Elasticsearch, you can easily import Elasticsearch 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 Elasticsearch data for use in enterprise search.
About Elasticsearch Data Integration
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
- Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
- Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
- Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
- Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
Getting Started
Create an Apache Solr Core and a Schema for Importing Elasticsearch
- 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 - Create a schema consisting of "field" objects to represent the columns of the Elasticsearch data to be imported and a unique key for the entity. LastModifiedDate, if it exists in Elasticsearch, is used for incremental updates. If it does not exist, you cannot do the deltaquery in the later section. Save the schema in the managed-schema file created by Apache Solr.
- Install the CData Elasticsearch JDBC Driver. Copy the JAR and license file (cdata.elasticsearch.jar and cdata.jdbc.elasticsearch.lic) to the Solr directory.
- CData JDBC JAR file: C:\Program Files\CData\CData JDBC Driver for Elasticsearch ####\lib
- Apache Solr: solr-8.5.2\server\lib
ElasticsearchUniqueKey
Now we are ready to use Elasticsearch data in Solr.
Define an Import of Elasticsearch to Apache Solr
In this section, we walk through configuring the Data Import Handler.
- Modify the Config file of the created Core. Add the JAR file reference and add the DIH RequestHander definition.
<lib dir="${solr.install.dir:../../../..}/dist/" regex="solr-dataimporthandler-.*\.jar" /> <requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler"> <lst name="defaults"> <str name="config">solr-data-config.xml</str> </lst> </requestHandler>
- Next, create a solr-data-config.xml at the same level. In this article, we retrieve a table from Elasticsearch, but you can use a custom SQL query to request data as well. The Driver Class and a sample JDBC Connection string are in the sample code below.
<dataConfig> <dataSource driver="cdata.jdbc.elasticsearch.ElasticsearchDriver" url="jdbc:elasticsearch:Server=127.0.0.1;Port=9200;User=admin;Password=123456;"> </dataSource> <document> <entity name="Orders" query="SELECT Id,ElasticsearchColumn1,ElasticsearchColumn2,ElasticsearchColumn3,ElasticsearchColumn4,ElasticsearchColumn5,ElasticsearchColumn6,ElasticsearchColumn7,LastModifiedDate FROM Orders" deltaQuery="SELECT Id FROM Orders where LastModifiedDate >= '${dataimporter.last_index_time}'" deltaImportQuery="SELECT Id,ElasticsearchColumn1,ElasticsearchColumn2,ElasticsearchColumn3,ElasticsearchColumn4,ElasticsearchColumn5,ElasticsearchColumn6,ElasticsearchColumn7,LastModifiedDate FROM Orders where Id=${dataimporter.delta.Id}"> <field column="Id" name="Id" ></field> <field column="ElasticsearchColumn1" name="ElasticsearchColumn1" ></field> <field column="ElasticsearchColumn2" name="ElasticsearchColumn2" ></field> <field column="ElasticsearchColumn3" name="ElasticsearchColumn3" ></field> <field column="ElasticsearchColumn4" name="ElasticsearchColumn4" ></field> <field column="ElasticsearchColumn5" name="ElasticsearchColumn5" ></field> <field column="ElasticsearchColumn6" name="ElasticsearchColumn6" ></field> <field column="ElasticsearchColumn7" name="ElasticsearchColumn7" ></field> <field column="LastModifiedDate" name="LastModifiedDate" ></field> </entity> </document> </dataConfig>
- In the query section, set the SQL query that select the data from Elasticsearch. deltaQuery and deltaImportquery define the ID and the conditions when using incremental updates from the second import of the same entity.
- After all settings are done, restart Solr.
> solr stop -all > solr start
Run a DataImport of Elasticsearch Data.
- Execute DataImport from the URL below:
http://localhost:8983/solr/#/CDataCore/dataimport//dataimport - Select the "full-import" Command, choose the table from Entity, and click "Execute."
- Check the result of the import from the Query.
- Try an incremental update using deltaQuery. Modify some data in the original Elasticsearch data set. Select the "delta-import" command this time from DataImport window and click "Execute."
- Check the result of the incremental update.
Using the CData JDBC Driver for Elasticsearch you are able to create an automated import of Elasticsearch data into Apache Solr. Download a free, 30 day trial of any of the 200+ CData JDBC Drivers and get started today.