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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 OpenWeatherMap to load data from OpenWeatherMap into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer OpenWeatherMap data to Elasticsearch.
To obtain an API key, sign up for a free account at https://openweathermap.org/api and navigate to the API keys section of your dashboard. Copy your API key for use in the connection configuration.
After setting the following connection properties, you are ready to connect:
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 OpenWeatherMap 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 OpenWeatherMap data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the OpenWeatherMap data loaded into ElasticsearchBy using the CData JDBC Driver for OpenWeatherMap with Logstash, it functions as a OpenWeatherMap connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Connect to live data from OpenWeatherMap with the API Driver
Connect to OpenWeatherMap