Briefly, this error occurs when Elasticsearch is unable to process a multi-search (msearch) request and also fails to send an error response. This could be due to network issues, insufficient resources, or a problem with the request itself. To resolve this, you can try the following: 1) Check the network connectivity between the client and the Elasticsearch server. 2) Ensure that the Elasticsearch server has enough resources (CPU, memory, disk space). 3) Review the msearch request to make sure it’s correctly formatted and doesn’t contain any errors.
This guide will help you check for common problems that cause the log ” Failed to send error response for action [msearch] and request [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: request, response and search.
Overview
Search refers to the searching of documents in an index or multiple indices. The simple search is just a GET API request to the _search endpoint. The search query can either be provided in query string or through a request body.
Examples
When looking for any documents in this index, if search parameters are not provided, every document is a hit and by default 10 hits will be returned.
GET my_documents/_search
A JSON object is returned in response to a search query. A 200 response code means the request was completed successfully.
{ "took" : 1, "timed_out" : false, "_shards" : { "total" : 2, "successful" : 2, "failed" : 0 }, "hits" : { "total" : 2, "max_score" : 1.0, "hits" : [ ... ] } }
Notes and good things to know
- Distributed search is challenging and every shard of the index needs to be searched for hits, and then those hits are combined into a single sorted list as a final result.
- There are two phases of search: the query phase and the fetch phase.
- In the query phase, the query is executed on each shard locally and top hits are returned to the coordinating node. The coordinating node merges the results and creates a global sorted list.
- In the fetch phase, the coordinating node brings the actual documents for those hit IDs and returns them to the requesting client.
- A coordinating node needs enough memory and CPU in order to handle the fetch phase.
Log Context
Log “Failed to send error response for action [msearch] and request [” classname is TransportMultiSearchAction.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
Override public void onFailure(Throwable e) { try { channel.sendResponse(e); } catch (Exception e1) { logger.warn("Failed to send error response for action [msearch] and request [" + request + "]"; e1); } } }); }
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