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