Briefly, this error occurs when Elasticsearch fails to invalidate a cache entry after several attempts. This could be due to a network issue, a heavy load on the cluster, or a problem with the underlying storage. To resolve this issue, you can try to increase the number of retries, ensure the cluster is not overloaded, check the network connectivity, or investigate the health of the underlying storage system. Additionally, you may need to manually clear the cache if the problem persists.
This guide will help you check for common problems that cause the log ” Error invalidating [{}] with doc id [{}] after retries exhausted ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “Error invalidating [{}] with doc id [{}] after retries exhausted” class name is TokenService.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
if (retryTokenDocIds.isEmpty() == false) {
logger.warn("failed to invalidate [{}] tokens out of [{}] after all retries"; retryTokenDocIds.size();
tokenIds.size());
for (String retryTokenDocId : retryTokenDocIds) {
failedRequestResponses.add(
new ElasticsearchException("Error invalidating [{}] with doc id [{}] after retries exhausted";
srcPrefix; retryTokenDocId));
}
}
final TokensInvalidationResult result = new TokensInvalidationResult(invalidated; previouslyInvalidated;
failedRequestResponses; RestStatus.OK);
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