Circuit breaker errors

Elasticsearch uses circuit breakers to prevent nodes from running out of JVM heap memory. If Elasticsearch estimates an operation would exceed a circuit breaker, it stops the operation and returns an error.

By default, the parent circuit breaker triggers at 95% JVM memory usage. To prevent errors, we recommend taking steps to reduce memory pressure if usage consistently exceeds 85%.

Error messages

If a request triggers a circuit breaker, Elasticsearch returns an error with a 429 HTTP status code.

{
  'error': {
    'type': 'circuit_breaking_exception',
    'reason': '[parent] Data too large, data for [<http_request>] would be [123848638/118.1mb], which is larger than the limit of [123273216/117.5mb], real usage: [120182112/114.6mb], new bytes reserved: [3666526/3.4mb]',
    'bytes_wanted': 123848638,
    'bytes_limit': 123273216,
    'durability': 'TRANSIENT'
  },
  'status': 429
}

Elasticsearch also writes circuit breaker errors to elasticsearch.log. This is helpful when automated processes, such as allocation, trigger a circuit breaker.

Caused by: org.elasticsearch.common.breaker.CircuitBreakingException: [parent] Data too large, data for [<transport_request>] would be [num/numGB], which is larger than the limit of [num/numGB], usages [request=0/0b, fielddata=num/numKB, in_flight_requests=num/numGB, accounting=num/numGB]

Check JVM memory usage

If you’ve enabled Stack Monitoring, you can view JVM memory usage in Kibana. In the main menu, click Stack Monitoring. On the Stack Monitoring Overview page, click Nodes. The JVM Heap column lists the current memory usage for each node.

You can also use the cat nodes API to get the current heap.percent for each node.

response = client.cat.nodes(
  v: true,
  h: 'name,node*,heap*'
)
puts response

GET _cat/nodes?v=true&h=name,node*,heap*

To get the JVM memory usage for each circuit breaker, use the node stats API.

response = client.nodes.stats(
  metric: 'breaker'
)
puts response

GET _nodes/stats/breaker

Reduce JVM memory pressure

High JVM memory pressure often causes circuit breaker errors. See High JVM memory pressure.

Avoid using fielddata on text fields

For high-cardinality text fields, fielddata can use a large amount of JVM memory. To avoid this, Elasticsearch disables fielddata on text fields by default. If you’ve enabled fielddata and triggered the fielddata circuit breaker, consider disabling it and using a keyword field instead. See fielddata mapping parameter.

Clear the fielddata cache

If you’ve triggered the fielddata circuit breaker and can’t disable fielddata, use the clear cache API to clear the fielddata cache. This may disrupt any in-flight searches that use fielddata.

response = client.indices.clear_cache(
  fielddata: true
)
puts response

POST _cache/clear?fielddata=true