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Briefly, this error occurs when OpenSearch fails to delete Point-In-Time (PIT) IDs, which are used for consistent search results during long-running searches. This could be due to insufficient permissions, network issues, or a bug in the system. To resolve this, you can try the following: 1) Check and adjust the user permissions to ensure they have the right to delete PIT IDs. 2) Investigate network connectivity to ensure the request is reaching the server. 3) Update OpenSearch to the latest version to fix any potential bugs. 4) Restart the OpenSearch service to clear any temporary issues.
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This guide will help you check for common problems that cause the log ” Failed to delete PIT IDs {} ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: delete, search.
Overview
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.
Quick links
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 delete PIT IDs {}” classname is CreatePitController.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
final StringBuilder failedPitsStringBuilder = new StringBuilder();
response.getDeletePitResults()
.stream()
.filter(r -> !r.isSuccessful())
.forEach(r -> failedPitsStringBuilder.append(r.getPitId()).append(";"));
logger.warn(() -> new ParameterizedMessage("Failed to delete PIT IDs {}"; failedPitsStringBuilder.toString()));
if (logger.isDebugEnabled()) {
final StringBuilder successfulPitsStringBuilder = new StringBuilder();
response.getDeletePitResults()
.stream()
.filter(r -> r.isSuccessful())
