Updating indices.store.throttle.type from to – Elasticsearch Log Diagnostic

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Troubleshooting Background – start here to get the full picture       
Log Context – usefull for experts
Related Issues – selected resources from the community  
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Troubleshooting background

To troubleshoot Elasticsearch log “Updating indices.store.throttle.type from to” it’s important to know common problems related to Elasticsearch concepts: indices. See below-detailed explanations complete with common problems, examples and useful tips.

Index in Elasticsearch

What it is

In Elasticsearch, an index (indices in plural) can be thought of as a table inside a database that has 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 below command:

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


Log Context

Log ”Updating indices.store.throttle.type from to” classname is IndicesStore.java
To help get the right context about this log, we have extracted the following from Elasticsearch source code

         public void onRefreshSettings(Settings settings) {
            String rateLimitingType = settings.get(INDICES_STORE_THROTTLE_TYPE; IndicesStore.this.rateLimitingType);
            // try and parse the type
            StoreRateLimiting.Type.fromString(rateLimitingType);
            if (!rateLimitingType.equals(IndicesStore.this.rateLimitingType)) {
                logger.info("updating indices.store.throttle.type from [{}] to [{}]"; IndicesStore.this.rateLimitingType; rateLimitingType);
                IndicesStore.this.rateLimitingType = rateLimitingType;
                IndicesStore.this.rateLimiting.setType(rateLimitingType);
            }

            ByteSizeValue rateLimitingThrottle = settings.getAsBytesSize(INDICES_STORE_THROTTLE_MAX_BYTES_PER_SEC; IndicesStore.this.rateLimitingThrottle);






To help troubleshoot related issues we have gathered selected answers from STOF & Discuss and issues from Github, please review the following for further information :

Github Issue Number 28026
github.com/elastic/elasticsearch/issues/28026

 

Updating Indices Store Throttle Max
discuss.elastic.co/t/updating-indices-store-throttle-max-bytes-per-sec-from-10gb/50154

 


About Opster

Incorporating deep knowledge and broad history of Elasticsearch issues. Opster’s solution identifies and predicts root causes of Elasticsearch problems, provides recommendations and can automatically perform various actions to manage, troubleshoot and prevent issues

We are constantly updating our analysis of Elasticsearch logs, errors, and exceptions. Sharing best practices and providing troubleshooting guides.

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