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