Briefly, this error occurs when Elasticsearch is unable to locate an index in the current cluster state with the specified version. This could be due to the index being deleted, renamed, or not yet created. To resolve this issue, you can verify the existence and name of the index, ensure the index is properly created before it’s accessed, or check if the index was accidentally deleted. If the index was renamed, update the reference to the new name.
This guide will help you check for common problems that cause the log ” failed to find index as current cluster state with version [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: replication, index, version, cluster.
Overview
Replication refers to storing a redundant copy of the data. Starting from version 7.x, Elasticsearch creates one primary shard with a replication factor set to 1. Replicas never get assigned to the same node on which primary shards are assigned, which means you should have at least two nodes in the cluster to assign the replicas. If a primary shard goes down, the replica automatically acts as a primary shard.
What it is used for
Replicas are used to provide high availability and failover. A higher number of replicas is also helpful for faster searches.
Examples
Update replica count
PUT /api-logs/_settings?pretty { "index" : { "number_of_replicas" : 2 } }
Common problems
- By default, new replicas are not assigned to nodes with more than 85% disk usage. Instead, Elasticsearch throws a warning.
- Creating too many replicas may cause a problem if there are not enough resources available in the cluster.
Overview
In Elasticsearch, an index (plural: indices) contains a schema and can have one or more shards and replicas. An Elasticsearch index is divided into shards and each shard is an instance of a Lucene index.
Indices are used to store the documents in dedicated data structures corresponding to the data type of fields. For example, text fields are stored inside an inverted index whereas numeric and geo fields are stored inside BKD trees.
Examples
Create index
The following example is based on Elasticsearch version 5.x onwards. An index with two shards, each having one replica will be created with the name test_index1
PUT /test_index1?pretty { "settings" : { "number_of_shards" : 2, "number_of_replicas" : 1 }, "mappings" : { "properties" : { "tags" : { "type" : "keyword" }, "updated_at" : { "type" : "date" } } } }
List indices
All the index names and their basic information can be retrieved using the following command:
GET _cat/indices?v
Index a document
Let’s add a document in the index with the command below:
PUT test_index1/_doc/1 { "tags": [ "opster", "elasticsearch" ], "date": "01-01-2020" }
Query an index
GET test_index1/_search { "query": { "match_all": {} } }
Query multiple indices
It is possible to search multiple indices with a single request. If it is a raw HTTP request, index names should be sent in comma-separated format, as shown in the example below, and in the case of a query via a programming language client such as python or Java, index names are to be sent in a list format.
GET test_index1,test_index2/_search
Delete indices
DELETE test_index1
Common problems
- It is good practice to define the settings and mapping of an Index wherever possible because if this is not done, Elasticsearch tries to automatically guess the data type of fields at the time of indexing. This automatic process may have disadvantages, such as mapping conflicts, duplicate data and incorrect data types being set in the index. If the fields are not known in advance, it’s better to use dynamic index templates.
- Elasticsearch supports wildcard patterns in Index names, which sometimes aids with querying multiple indices, but can also be very destructive too. For example, It is possible to delete all the indices in a single command using the following commands:
DELETE /*
To disable this, you can add the following lines in the elasticsearch.yml:
action.destructive_requires_name: true
Overview
A version corresponds to the Elasticsearch built-in tracking system that tracks the changes in each document’s update. When a document is indexed for the first time, it is assigned a version 1 using _version key. When the same document gets a subsequent update, the _version is incremented by 1 with every index, update or delete API call.
What it is used for
A version is used to handle the concurrency issues in Elasticsearch which come into play during simultaneous accessing of an index by multiple users. Elasticsearch handles this issue with an optimistic locking concept using the _version parameter to avoid letting multiple users edit the same document at the same time and protects users from generating incorrect data.
Notes
You cannot see the history of the document using _version. That means Elasticsearch does not use _version to keep a track of original changes that had been performed on the document. For example, if a document has been updated 10 times, it’s _version would be marked by Elasticsearch as 11, but you cannot go back and see what version 5 of the document looked like. This has to be implemented independently.
Common problems
If optimistic locking is not implemented while making updates to a document, Elasticsearch may return a conflict error with the 409 status code, which means that multiple users are trying to update the same version of the document at the same time.
POST /ratings/123?version=50 { "name": "Joker", "rating": 50 }
Log Context
Log “failed to find index as current cluster state with version [” class name is TransportReplicationAction.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
// ensure that the cluster state on the node is at least as high as the node that decided that the index was there if (state.version() < request.routedBasedOnClusterVersion()) { logger.trace("failed to find index [{}] for request [{}] despite sender thinking it would be here. " + "Local cluster state version [{}]] is older than on sending node (version [{}]); scheduling a retry..."; request.shardId().getIndex(); request; state.version(); request.routedBasedOnClusterVersion()); retry(new IndexNotFoundException("failed to find index as current cluster state with version [" + state.version() + "] is stale (expected at least [" + request.routedBasedOnClusterVersion() + "]"; request.shardId().getIndexName())); return; } else { finishAsFailed(new IndexNotFoundException(request.shardId().getIndex()));
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