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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 Assets to load data from Jira Assets into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Jira Assets data to Elasticsearch.
Jira Assets supports connecting and authenticating via the APIToken.
To generate an API token:
Atlassian generates and then displays the API token.
After you have generated the API token, set these parameters:
You are now ready to connect and authenticate to Jira Assets.
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 Assets data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET jiraassets_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Jira Assets data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Jira Assets data loaded into ElasticsearchBy using the CData JDBC Driver for Jira Assets with Logstash, it functions as a Jira Assets connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the Jira Assets Driver to get started:
Download NowLearn more:
👁 Jira Assets IconRapidly create and deploy powerful Java applications that integrate with Jira Assets.