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Elasticsearch is a popular distributed full-text search engine. By centrally storing data, you can perform ultra-fast searches, fine-tuning relevance, and powerful analytics with ease. Elasticsearch has a pipeline tool for loading data called "Logstash". You can use CData JDBC Drivers to easily import data from any data source into Elasticsearch for search and analysis.
This article explains how to use the CData JDBC Driver for SAP to load data from SAP into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer SAP data to Elasticsearch.
The driver supports connecting to an SAP system using the SAP Java Connector (SAP JCo). Install the files (sapjco3.jar and sapjco3.dll) to the appropriate directory for the hosting application or platform. See the "Getting Started" chapter in the help documentation for information on using the SAP JCo files.
In addition, you can connect to an SAP system using Web services (SOAP). To use Web services, you must enable SOAP access to your SAP system and set the Client, RFCUrl, User, and Password properties, under the Authentication section.
For more information, see this guide on obtaining the connection properties needed to connect to any SAP system.
Now let's run Logstash using the created "logstash.conf" file.
logstash-7.8.0\bin\logstash -f logstash.conf
A log indicating success will appear. This means the SAP data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET saperp_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the SAP data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the SAP data loaded into ElasticsearchBy using the CData JDBC Driver for SAP with Logstash, it functions as a SAP connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the SAP ERP Driver to get started:
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👁 SAP ERP IconStraightforward SAP ERP integration. Now accessing SAP RFC's from any JDBC client is as easy as querying a database.