Runbook

Elasticsearch High-Volume Indexing Inefficiency Leading to Delays/Failures

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Overview

This incident type refers to a problem in efficiently handling the high volume of data indexing in Elasticsearch, which can cause delays or failures in the indexing process. Elasticsearch is a powerful search engine used to index and search large volumes of data quickly and efficiently. However, when the indexing volume is too high, it can lead to inefficiencies in the indexing process, causing delays or failures in the search results. This can have a significant impact on the performance of the application or system that is using Elasticsearch for indexing and searching.

Parameters

Debug

Check the Elasticsearch cluster status

Check the indexing rate and the size of the Elasticsearch index

Check the Elasticsearch indexing queue size

Check the Elasticsearch indexing performance using the index stats API

Repair

Review the Elasticsearch cluster configuration and ensure that it is optimized for high-volume indexing.

Increase the size of Elasticsearch indices to reduce the number of shards and optimize query performance.

Learn more

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