How to Fix Read timed out in Elasticsearch

Try this:

es = Elasticsearch(timeout=30, max_retries=10, retry_on_timeout=True)

It might won't fully avoid ReadTimeoutError, but it minimalize them.

Its hard to give a direct answer since the error your seeing might be associated with the client you are using. However a solution might be one of the following:

1.Increase the default timeout Globally when you create the ES client by passing the timeout parameter. Example in Python

es = Elasticsearch(timeout=30)

2.Set the timeout per request made by the client. Taken from Elasticsearch Python docs below.

# only wait for 1 second, regardless of the client's default
es.cluster.health(wait_for_status='yellow', request_timeout=1)

The above will give the cluster some extra time to respond

Read timeouts can also happen when query size is large. For example, in my case of a pretty large ES index size (> 3M documents), doing a search for a query with 30 words took around 2 seconds, while doing a search for a query with 400 words took over 18 seconds. So for a sufficiently large query even timeout=30 won't save you. An easy solution is to crop the query to the size that can be answered below the timeout.