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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 Close to load data from Close into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Close data to Elasticsearch.
Start by setting the Profile connection property to the location of the Close Profile on disk (e.g. C:\profiles\Close.apip). Next, set the ProfileSettings connection property to the connection string for Close (see below).
Locate your API key through Close's Settings menu under Your API Keys and create a new key if needed.
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 Close data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET api_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Close data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Close data loaded into ElasticsearchBy using the CData JDBC Driver for Close with Logstash, it functions as a Close connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Connect to live data from Close with the API Driver
Connect to Close