Elasticsearch Refresh

Elasticsearch Refresh

Opster Team

March 2021


In addition to reading this guide, we recommend you run the Elasticsearch Health Check-Up. It will detect issues and improve your Elasticsearch performance by analyzing your shard sizes, threadpools, memory, snapshots, disk watermarks and more.

The Elasticsearch Check-Up is free and requires no installation.

Run the Elasticsearch check-up to receive recommendations like this:

checklist Run Check-Up
error

The following configuration error was detected on node 123...

error-img

Description

This error can have a severe impact on your system. It's important to understand that it was caused by...

error-img

Recommendation

In order to resolve this issue and prevent it from occurring again, we recommend that you begin by changing the configuration to...

1

X-PUT curl -H "Content-Type: application/json" [customized recommendation]

Overview

When indexing data, Elasticsearch requires a “refresh” operation to make indexed information available for search. This means that there is a time delay between indexing and the updated information actually becoming available for the client applications.

How it works

Index operations occur in memory. The operations are accumulated in a buffer until refreshed, which requires that the buffer itself be transferred to a newly created lucene segment. Refresh happens by default every second, but it is also possible to change this frequency for a given index, or directly request a refresh through the refresh api.

Examples

You can set the refresh interval on an index like this:

PUT /my_index/_settings
{
    "index" : {
        "refresh_interval" : "30s"
    }
}

You can use a value of -1 to stop refreshing but remember to set it back once you’ve finished indexing!

You can force a refresh on a given index like this:

POST my_index/_refresh

You can also force a refresh at the end of an index operation by adding an extra parameter in the URL like this:

POST /my_index/_index?refresh=waitfor

In this case, the “waitfor” parameter will force the client to wait for the refresh to complete before returning (useful in scripts), or you can use “true” to force the refresh without keeping the script waiting.

Notes and good things to know

Refreshing is very resource intensive, so you can increase indexing speed by reducing the refresh rate. You can do this temporarily if you need to reload a lot of data. For some logging applications it is perfectly acceptable to have a 30s latency, for instance, before data actually becomes available.

Beware of the refresh interval when scripting or updating. Scripts often work faster than the refresh interval, so if necessary, you might need to call a refresh before retrieving or updating data in your scripts, or use the waitfor parameter while indexing as described above.

Run the Elasticsearch check-up to receive recommendations like this:

checklist Run Check-Up
error

The following configuration error was detected on node 123...

error-img

Description

This error can have a severe impact on your system. It's important to understand that it was caused by...

error-img

Recommendation

In order to resolve this issue and prevent it from occurring again, we recommend that you begin by changing the configuration to...

1

X-PUT curl -H "Content-Type: application/json" [customized recommendation]


Related log errors to this ES concept


Failed to find token for refresh token after attempts
Failed to perform engine refresh
Failed to refresh token for doc after attempts
Failed to refresh job memory requirements
Could not find token document for refresh
Security index does not exist therefore refresh token cannot be validated
Error firing refresh listener
Falling back to allocating job by job counts because a memory requirement refresh could not be scheduled
Cant send mapping refresh for ; no master known.
Failed to perform scheduled engine refresh
Failed to refresh after decreasing index buffer
Failed to refresh settings for

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