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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 Jira to load data from Jira into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Jira data to Elasticsearch.
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
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 Jira data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET jira_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Jira data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Jira data loaded into ElasticsearchBy using the CData JDBC Driver for Jira with Logstash, it functions as a Jira connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the Jira Driver to get started:
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