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+---
+navigation_title: Ingest Pipelines
+applies_to:
+  stack:
+  deployment:
+    eck:
+    ess:
+    ece:
+    self:
+products:
+  - id: elasticsearch
+---
+
+# Troubleshoot Ingest pipelines [troubleshooting-pipelines]
+
+{{es}} [Ingest Pipelines](https://www.elastic.co/docs/manage-data/ingest/transform-enrich/ingest-pipelines) allow you to transform data during ingest. Per [write model](https://www.elastic.co/docs/deploy-manage/distributed-architecture/reading-and-writing-documents#basic-write-model), they run from `ingest` [node roles](https://www.elastic.co/docs/deploy-manage/distributed-architecture/clusters-nodes-shards/node-roles) under the `write` [thread pool](https://www.elastic.co/docs/reference/elasticsearch/configuration-reference/thread-pool-settings).
+
+You can edit ingest pipelines under {{kib}}'s **Stack Management > Ingest Pipelines** or from {{es}}'s [Modify Pipeline API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ingest-put-pipeline). They store under {{es}}'s [cluster state](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-cluster-state) as accessed from [List Pipelines](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ingest-get-pipeline).
+
+Ingest pipelines can be [Simulated](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ingest-simulate) during testing, but after go-live are triggered during event ingest from
+
+* The query parameter `pipeline` flag the [create doc](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-create) or [update doc](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-update_) or [bulk modify docs](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-bulk) API request.
+* The ingest target's backing [index setting](https://www.elastic.co/docs/reference/elasticsearch/index-settings/index-modules#dynamic-index-settings) for `index.default_pipeline` and/or `index.final_pipeline`.
+* An Ingest Pipeline may sub-call another as a [pipelinen processor](https://www.elastic.co/docs/reference/enrich-processor/pipeline-processor).
+
+## Symptoms [troubleshooting-pipelines-symptoms]
+
+You might notice an Ingest Pipeline is not running as performant as possible under load testing from one of the following symptoms.
+
+
+### High CPU usage [troubleshooting-pipelines-symptoms-cpu]
+
+While running, if Ingest Pipelines cause [high CPU usage](https://www.elastic.co/docs/troubleshoot/elasticsearch/high-cpu-usage), their logger `org.elasticsearch.ingest.Pipeline` will show under [Node Hot Threads](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-nodes-hot-threads). An example output might prefix like this:
+
+```text
+::: {instance-0000000001}{XXXXX}{XXXXX}{instance-0000000001}{XXXXX}{XXXXX}{hirst}{9.0.0}{XXXXX}{XXXXX}
+   Hot threads at XXXXX, interval=500ms, busiestThreads=10000, ignoreIdleThreads=true:
+
+   100.0% [cpu=98.9%, other=1.1%] (500ms out of 500ms) cpu usage by thread 'elasticsearch[instance-0000000001][write][T#8]'
+
+     10/10 snapshots sharing following 93 elements
+       app/org.elasticsearch.server@9.0.0/org.elasticsearch.ingest.CompoundProcessor.execute(CompoundProcessor.java:145)
+       app/org.elasticsearch.server@9.0.0/org.elasticsearch.ingest.Pipeline.execute(Pipeline.java:129)
+```
+
+The most common sub-processor to flag is a [Script processor](https://www.elastic.co/docs/reference/enrich-processor/script-processor) running [Painless](https://www.elastic.co/docs/reference/scripting-languages/painless/painless) as noted by logger `org.elasticsearch.painless`.
+
+
+### Task Queue [troubleshooting-pipelines-symptoms-queue]
+
+A non-performant Ingest Pipeline may cause a [Task Queue Backlog](https://www.elastic.co/docs/troubleshoot/elasticsearch/task-queue-backlog) potentially with [Hot Spotting](https://www.elastic.co/docs/troubleshoot/elasticsearch/hotspotting). Once sufficiently severe it would start causing [Rejected Requests](https://www.elastic.co/docs/troubleshoot/elasticsearch/rejected-requests#check-rejected-tasks).
+
+
+### Delayed timestamps [troubleshooting-pipelines-symptoms-delayed]
+
+There can be multiple timestamps associated with a single data event. By default in Elastic-built [Integrations](https://www.elastic.co/docs/reference/integrations), every event [records](https://www.elastic.co/docs/reference/ecs/ecs-principles-implementation#_timestamps) the following:
+
+* `@timestamp` for when an event originated.
+* `event.created` for when an event first reached an Elastic product.
+* `event.ingested` for when an event finished processing through an {{es}} Ingest Pipeline.
+
+{{kib}} [Data Views](https://www.elastic.co/docs/explore-analyze/find-and-organize/data-views) default to `@timestamp` to fit most user's default expectations. While troubleshooting ingestion lag, we recommend creating a temporary Data View based on `event.ingested`. 
+
+This potential timing difference is why Security Detection Rules allow for [setting a "Timestamp override"](https://www.elastic.co/docs/troubleshoot/security/detection-rules#troubleshoot-ingestion-pipeline-delay) which defaults to `event.ingested` when enabled.
+
+For user-managed Ingest Pipelines, you can create similar functionality by adding [Set Processor](https://www.elastic.co/docs/reference/enrich-processor/set-processor) to the end of your Ingest Pipeline. As a simplified example if `event.ingested` is not already being set upstream in your data pipeline:
+
+```console
+PUT _ingest/pipeline/my-pipeline
+{
+  "processors": [
+    {
+      "set": {
+        "description": "Log the event's ingestion timestamp as 'event.ingested'",
+        "field": "event.ingested",
+        "value": "{{{_ingest.timestamp}}}"
+      }
+    }
+  ]
+}
+```
+
+This will update every time the event is modifed when passing through pipeline. If you need to troubleshoot the original event creation only and the field `event.created` is not already being set upstream in your data pipeline you might consider adding this processor example at the beginning of the first Ingest Pipeline:
+
+```console
+PUT _ingest/pipeline/my-pipeline
+{
+  "processors": [
+    {
+      "set": {
+        "description": "Log the event's first ingest timestamp as 'event.created', does not modify for updates.",
+        "field": "event.created",
+        "value": "{{{_ingest.timestamp}}}",
+        "override": false
+      }
+    }
+  ]
+}
+```
+
+
+### Metrics [troubleshooting-pipelines-metrics]
+
+When Ingest Pipelines run, they log their cumulative statistics to [List Node Statistics](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-nodes-stats). 
+
+```console
+GET _nodes/stats/ingest
+```
+
+This reports the overall Ingest Pipelines's statistics as well as statistics for each of its processors. If a pipeline calls a sub-pipeline the parent's statistics will record the total time and not subtract time spent waiting on the other. 
+
+Storing this output into `nodes_stats.json` and then using [third-party tool JQ](https://jqlang.github.io/jq/) to parse through this JSON, some common views reported during troubleshooting include:
+
+* Ingest Pipeline's processor has more than 10% failed events
+
+  ```bash
+  $ cat nodes_stats.json | jq -c '.nodes[]|.name as $node| .ingest.pipelines|to_entries[]| .key as $pipeline| .value.processors[] | to_entries[]|.key as $process| { pipeline:$pipeline, process:$process, node:$node, total:.value.stats.count, failed:.value.stats.failed, failed_percent:(try (100*.value.stats.failed/.value.stats.count|round) catch 0)}| select(.total>0 and .failed_percent>10)'
+  ```
+
+  Especially where `ignore_failure` is enabled, this might reflect an incomplete setup or wasted processing time.
+
+* Ingest Pipeline's time per event is above 60 milliseconds or 1 second
+
+  ```bash
+  $ cat nodes_stats.json | jq -rc '.nodes[]|.name as $n| .ingest.pipelines|to_entries[]| .key as $pi|.value| { name:$n, pipeline:$pi, total_count:.count, total_millis:.time_in_millis, total_failed:.failed }| select(.total_count>0)|.+{time_per:(.total_millis/.total_count|round)}|select(.time_per>60)'
+  ```
+
+* Ingest Pipeline processor's time per event if it's processed at least 1 event and takes more than 0 milliseconds after rounding
+
+  ```bash
+  $ cat nodes_stats.json | jq -rc '.nodes[]|.name as $n| .ingest.pipelines|to_entries[]| .key as $pi|.value.processors[]| to_entries[]|.key as $pr| .value.stats|{ name:$n, pipeline:$pi, processor:$pr, total_count:.count, total_millis:.time_in_millis, total_failed:.failed }|select(.total_count>0)|.+{time_per:(.total_millis/.total_count|round)}|select(.time_per>0)'
+  ```
+
+{{es}}'s Ingest Pipeline processors don't have associated `id` like {{ls}}'s Pipelines to distinguish them so these emit in sequential order as seen in pipeline's definition. 
+
+The statistics report per node since its uptime, so will reset with node restarts. As a rough heuristic, you could look at an individual node's output knowing proportions will usually be about equal. 
diff --git a/troubleshoot/toc.yml b/troubleshoot/toc.yml
index 389087943..dec9351f8 100644
--- a/troubleshoot/toc.yml
+++ b/troubleshoot/toc.yml
@@ -32,6 +32,7 @@ toc:
           - file: elasticsearch/increase-shard-limit.md
           - file: elasticsearch/increase-cluster-shard-limit.md
           - file: elasticsearch/corruption-troubleshooting.md
+          - file: elasticsearch/troubleshoot-ingest-pipelines.md
 
       - file: elasticsearch/capacity.md
         children: