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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 Google Drive to load data from Google Drive into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Google Drive data to Elasticsearch.
You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a 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 Google Drive data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET googledrive_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Google Drive data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Google Drive data loaded into ElasticsearchBy using the CData JDBC Driver for Google Drive with Logstash, it functions as a Google Drive connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the Google Drive Driver to get started:
Download NowLearn more:
👁 Google Drive IconAn easy-to-use database-like interface for Java based applications and reporting tools access to live Google Drive data (Files, Changes, Apps, and more).