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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 LeadDesk to load data from LeadDesk into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer LeadDesk data to Elasticsearch.
Start by setting the Profile connection property to the location of the LeadDesk Profile on disk (e.g. C:\profiles\LeadDesk.apip). Next, set the ProfileSettings connection property to the connection string for LeadDesk (see below).
Register an OAuth application in LeadDesk by navigating to General Settings > API > Create to receive a Client ID and Client Secret.
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 LeadDesk 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 LeadDesk data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the LeadDesk data loaded into ElasticsearchBy using the CData JDBC Driver for LeadDesk with Logstash, it functions as a LeadDesk connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Connect to live data from LeadDesk with the API Driver
Connect to LeadDesk