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* [+DOC] Troubleshooting / Mapping Explosion --------- Co-authored-by: Steffanie Nestor <steffanie.nestor@elastic.co> Co-authored-by: Amy Jonsson <amy.jonsson@elastic.co>
64 lines
2.5 KiB
Text
64 lines
2.5 KiB
Text
[[fix-common-cluster-issues]]
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== Fix common cluster issues
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This guide describes how to fix common errors and problems with {es} clusters.
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<<fix-watermark-errors,Watermark errors>>::
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Fix watermark errors that occur when a data node is critically low on disk space
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and has reached the flood-stage disk usage watermark.
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<<circuit-breaker-errors,Circuit breaker errors>>::
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{es} uses circuit breakers to prevent nodes from running out of JVM heap memory.
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If Elasticsearch estimates an operation would exceed a circuit breaker, it stops
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the operation and returns an error.
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<<high-cpu-usage,High CPU usage>>::
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The most common causes of high CPU usage and their solutions.
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<<high-jvm-memory-pressure,High JVM memory pressure>>::
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High JVM memory usage can degrade cluster performance and trigger circuit
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breaker errors.
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<<red-yellow-cluster-status,Red or yellow cluster status>>::
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A red or yellow cluster status indicates one or more shards are missing or
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unallocated. These unassigned shards increase your risk of data loss and can
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degrade cluster performance.
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<<rejected-requests,Rejected requests>>::
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When {es} rejects a request, it stops the operation and returns an error with a
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`429` response code.
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<<task-queue-backlog,Task queue backlog>>::
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A backlogged task queue can prevent tasks from completing and put the cluster
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into an unhealthy state.
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<<diagnose-unassigned-shards,Diagnose unassigned shards>>::
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There are multiple reasons why shards might get unassigned, ranging from
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misconfigured allocation settings to lack of disk space.
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<<cluster-fault-detection-troubleshooting,Troubleshooting an unstable cluster>>::
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A cluster in which nodes leave unexpectedly is unstable and can create several
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issues.
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<<mapping-explosion,Mapping explosion>>::
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A cluster in which an index or index pattern as exploded with a high count of
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mapping fields which causes performance look-up issues for Elasticsearch and
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Kibana.
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<<hotspotting,Hot spotting>>::
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Hot spotting may occur in {es} when resource utilizations are unevenly
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distributed across nodes.
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include::common-issues/disk-usage-exceeded.asciidoc[]
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include::common-issues/circuit-breaker-errors.asciidoc[]
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include::common-issues/high-cpu-usage.asciidoc[]
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include::common-issues/high-jvm-memory-pressure.asciidoc[]
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include::common-issues/red-yellow-cluster-status.asciidoc[]
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include::common-issues/rejected-requests.asciidoc[]
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include::common-issues/task-queue-backlog.asciidoc[]
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include::common-issues/mapping-explosion.asciidoc[]
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include::common-issues/hotspotting.asciidoc[]
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include::common-issues/diagnose-unassigned-shards.asciidoc[]
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