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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 Cassandra to load data from Cassandra into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Cassandra data to Elasticsearch.
Set the Server, Port, and Database connection properties to connect to Cassandra. Additionally, to use internal authentication set the User and Password connection properties.
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 Cassandra data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET cassandra_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Cassandra data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Cassandra data loaded into ElasticsearchBy using the CData JDBC Driver for Cassandra with Logstash, it functions as a Cassandra connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the Cassandra Driver to get started:
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