Failed to lock all shards for index – timed out after 30 seconds – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-6.8

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Briefly, this error occurs when Elasticsearch is unable to lock all shards for a specific index within the given timeout period, which is 30 seconds in this case. This could be due to heavy indexing or search operations, or insufficient resources. To resolve this issue, you can try increasing the timeout period, reducing the load on your Elasticsearch cluster by optimizing your indexing or search operations, or increasing the resources available to your Elasticsearch cluster, such as CPU, memory, or disk space.

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This guide will help you check for common problems that cause the log ” [{}] failed to lock all shards for index – timed out after 30 seconds ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: cluster, index, indices and shards.

Log Context

Log “[{}] failed to lock all shards for index – timed out after 30 seconds” classname is IndicesClusterStateService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

// to the master. If we can't acquire the locks here immediately there might be a shard of this index still
                            // holding on to the lock due to a "currently canceled recovery" or so. The shard will delete itself BEFORE the
                            // lock is released so it's guaranteed to be deleted by the time we get the lock
                            indicesService.processPendingDeletes(index; indexSettings; new TimeValue(30; TimeUnit.MINUTES));
                        } catch (ShardLockObtainFailedException exc) {
                            logger.warn("[{}] failed to lock all shards for index - timed out after 30 seconds"; index);
                        } catch (InterruptedException e) {
                            logger.warn("[{}] failed to lock all shards for index - interrupted"; index);
                        }
                    }
                });

 

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