Updated breaker settings for in-flight requests: – How to solve related issues

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Updated breaker settings for in-flight requests: – How to solve related issues

Opster Team

Feb-21, Version: 1.7-8.0

To learn more abour updating breaker settings for inflight requests, we recommend you try running the Elasticsearch Error Check-Up. It will help you resolve any outstanding issues and check the configuration of all of your settings.


This guide will help you check for common problems that cause the log “Updated breaker settings for in-flight requests” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: breaker, circuit, indices and settings.

What this log means

This log message is an INFO message notifying you that the breaker settings for in-flight requests have been updated. You can check the updated values using this command:

GET /_cluster/settings?pretty&include_defaults

Or by running Opster’s Elasticsearch Error Check-Up to get an immediate review of your settings and configurations, with instructions for improvement. 

Be aware of the pros and cons of updating the circuit breaker settings.

The circuit breaker limit for in-flight requests can be increased and decreased dynamically. The default limit for in-flight requests breakers is set at 100% of the limit assigned to the parent circuit breaker. This means that by default the in-flight requests circuit breaker is allowed to take as much heap memory as allowed by the parent circuit breaker, not that the in-flight requests circuit breaker can take up to 100% of the whole heap memory. 

PUT /_cluster/settings
 
{
 "persistent": {
   "network.breaker.inflight_requests.limit": "99%"
 }
}

The “overhead” setting is used to define the constant multiplier for byte estimations of the in-flight requests circuit breaker. The default value is 2.

PUT /_cluster/settings
{
 "persistent": {
   "network.breaker.inflight_requests.overhead": "1"
 }
}

When the breaker settings for in-flight requests are updated, the following log is generated:

[INFO ][o.e.i.b.HierarchyCircuitBreakerService] Updated breaker settings for in-flight requests: [in_flight_requests,type=MEMORY,durability=TRANSIENT,limit=1063004405/1013.7mb,o

Log Context

Log “Updated breaker settings for in-flight requests: {}” classname is HierarchyCircuitBreakerService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

         BreakerSettings newInFlightRequestsSettings = new BreakerSettings(CircuitBreaker.IN_FLIGHT_REQUESTS;
            newInFlightRequestsMax.getBytes(); newInFlightRequestsOverhead;
            HierarchyCircuitBreakerService.this.inFlightRequestsSettings.getType());
        registerBreaker(newInFlightRequestsSettings);
        HierarchyCircuitBreakerService.this.inFlightRequestsSettings = newInFlightRequestsSettings;
        logger.info("Updated breaker settings for in-flight requests: {}"; newInFlightRequestsSettings);
    }

    private void setFieldDataBreakerLimit(ByteSizeValue newFielddataMax; Double newFielddataOverhead) {
        long newFielddataLimitBytes = newFielddataMax == null ?
            HierarchyCircuitBreakerService.this.fielddataSettings.getLimit() : newFielddataMax.getBytes();




 

Run the Check-Up to get customized insights on your system:

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

Log Context

Log “Updated breaker settings for in-flight requests: {}” classname is HierarchyCircuitBreakerService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

         BreakerSettings newInFlightRequestsSettings = new BreakerSettings(CircuitBreaker.IN_FLIGHT_REQUESTS;
            newInFlightRequestsMax.getBytes(); newInFlightRequestsOverhead;
            HierarchyCircuitBreakerService.this.inFlightRequestsSettings.getType());
        registerBreaker(newInFlightRequestsSettings);
        HierarchyCircuitBreakerService.this.inFlightRequestsSettings = newInFlightRequestsSettings;
        logger.info("Updated breaker settings for in-flight requests: {}"; newInFlightRequestsSettings);
    }

    private void setFieldDataBreakerLimit(ByteSizeValue newFielddataMax; Double newFielddataOverhead) {
        long newFielddataLimitBytes = newFielddataMax == null ?
            HierarchyCircuitBreakerService.this.fielddataSettings.getLimit() : newFielddataMax.getBytes();




 

Run the Check-Up to get customized insights on your system:

Analyze your cluster