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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 GitHub to load data from GitHub into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer GitHub data to Elasticsearch.
GitHub uses the OAuth 2 authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the Getting Started chapter of the CData help documentation for an authentication guide.
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 GitHub data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET github_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the GitHub data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the GitHub data loaded into ElasticsearchBy using the CData JDBC Driver for GitHub with Logstash, it functions as a GitHub connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the GitHub Driver to get started:
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