Briefly, this error occurs when the DeleteByQuery operation in Elasticsearch takes longer than the specified timeout period. This could be due to a large number of documents being processed or slow cluster performance. To resolve this issue, you can increase the timeout period for the operation, optimize your cluster performance, or reduce the number of documents being processed at once. Additionally, ensure that your Elasticsearch cluster has sufficient resources (CPU, memory, disk I/O) to handle the operation.
This guide will help you check for common problems that cause the log ” [{}] DeleteByQuery for indices [{}] timed out.”; jobId; String.join(“; ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: indices, delete, plugin, query.
Overview
DELETE is an Elasticsearch API which removes a document from a specific index. This API requires an index name and _id document to delete the document.
Delete a document
DELETE /my_index/_doc/1
Notes
- A delete request throws 404 error code if the document does not already exist in the index.
- If you want to delete a set of documents that matches a query, you need to use delete by query API.
Log Context
Log “[{}] DeleteByQuery for indices [{}] timed out.”; jobId; String.join(“; ” classname is JobDataDeleter.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
ActionListenerdbqHandler = ActionListener.wrap(bulkByScrollResponse -> { if (bulkByScrollResponse == null) { // no action was taken by DBQ; assume indices were deleted completionHandler.onResponse(AcknowledgedResponse.TRUE); } else { if (bulkByScrollResponse.isTimedOut()) { logger.warn("[{}] DeleteByQuery for indices [{}] timed out."; jobId; String.join("; "; indexNames.get())); } if (bulkByScrollResponse.getBulkFailures().isEmpty() == false) { logger.warn( "[{}] {} failures and {} conflicts encountered while running DeleteByQuery on indices [{}]."; jobId;
