FAQ: Elasticsearch "cluster health: Not connected" in Chrome / "Connection refused" script error
FAQ relevant for: all Academy versions Sometimes on the VDIs you will encounter your Elasticsearch being disconnected which will then mean that the data isn't available for easy viewing and it will also lead to errors in your UI. If you try to run e.g. a load Elastic ETL script while Elastic isn't connected then you will get an error, for example: Exception in thread "main" java.net.ConnectException: Connection refused To reconnect the Elasticsearch service you just need to run the following command anywhere in a terminal window on your VDI: sudo systemctl restart elasticsearch.serviceDriving Adoption of the Quantexa Platform & April Community Highlights
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Common Elastic Loader errors
For common elastic loader errors, such as load elastic job failing, read Common Elastic Loader errors (login required) on our Docs site. You'll find some common Elastic Loader failure cases, and how to address them. The errors apply to both the Resolver-Search Elastic Loader and the Generic Elastic Loader. These include: Connection issues Performance issues Elasticsearch is overloaded Spark is running out of memory Count validation failure Data could not be indexed Did you know you can also click the elastic-loader tag and then filter to find Questions with an answer that is Accepted by the Community?Elastic Collection
Below you can find links to all the articles and discussions relating to Elastic in the Community. Elasticsearch, or Elastic, is a near real-time, distributed storage, search, and analytics engine. Since the beginning, Quantexa has used Elasticsearch to store and query the data we ingest into the Quantexa platform, as we knew Search was going to be such a central feature of the platform. 🗒️Articles available to everyone Elasticsearch Considerations For Quantexa Elasticsearch and Why We Use It 🔒Log in required Useful Elasticsearch API Calls Bookmark this thread and be notified whenever we publish a new article on Elastic. To bookmark a thread, click the chevron icon next to the title of the post.
