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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 OData to load data from OData into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer OData data to Elasticsearch.
The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, specify a URL to a valid OData server organization root or OData services file.
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 OData data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET odata_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the OData data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the OData data loaded into ElasticsearchBy using the CData JDBC Driver for OData with Logstash, it functions as a OData connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Download a free trial of the OData Driver to get started:
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👁 OData IconEasy-to-use OData client (consumer) enables developers to build Java applications that easily communicate with OData services.