From 7a93252881fb305a91b5bae406b7ef2cf6c593c4 Mon Sep 17 00:00:00 2001 From: Mike Birnstiehl <114418652+mdbirnstiehl@users.noreply.github.com> Date: Thu, 3 Oct 2024 10:26:37 -0500 Subject: [PATCH] [Data set quality] Add all data set types to quality page (#4232) Co-authored-by: Colleen McGinnis (cherry picked from commit 442705e9bc861a9527b86cc9614058fd8b49b19c) # Conflicts: # docs/en/serverless/monitor-datasets.mdx # docs/en/serverless/serverless-observability.docnav.json --- .../images/data-set-quality-overview.png | Bin 0 -> 170137 bytes .../images/logs-dataset-overview.png | Bin 121843 -> 0 bytes docs/en/observability/index.asciidoc | 5 +- .../logs-monitor-datasets.asciidoc | 22 +- docs/en/serverless/monitor-datasets.mdx | 63 ++ .../serverless-observability.docnav.json | 659 ++++++++++++++++++ 6 files changed, 737 insertions(+), 12 deletions(-) create mode 100644 docs/en/observability/images/data-set-quality-overview.png delete mode 100644 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+ +The **Data Set Quality** page provides an overview of your log, metric, trace, and synthetic data sets. +Use this information to get an idea of your overall data set quality and find data sets that contain incorrectly parsed documents. + +Access the Data Set Quality page from the main menu at **Project settings** → **Management** → **Data Set Quality**. +By default, the page only shows log data sets. To see other data set types, select them from the **Type** menu. + + + Users with the `viewer` role can view the Data Sets Quality summary. To view the Active Data Sets and Estimated Data summaries, users need the `monitor` [index privilege](((ref))/security-privileges.html#privileges-list-indices) for the `logs-*-*` index. + + +The quality of your data sets is based on the percentage of degraded documents in each data set. +A degraded document in a data set contains the [`_ignored`](((ref))/mapping-ignored-field.html) property because one or more of its fields were ignored during indexing. +Fields are ignored for a variety of reasons. +For example, when the [`ignore_malformed`](((ref))/mapping-ignored-field.html) parameter is set to true, if a document field contains the wrong data type, the malformed field is ignored and the rest of the document is indexed. + +From the data set table, you'll find information for each data set such as its namespace, when the data set was last active, and the percentage of degraded docs. +The percentage of degraded documents determines the data set's quality according to the following scale: + +* Good (): 0% of the documents in the data set are degraded. +* Degraded (): Greater than 0% and up to 3% of the documents in the data set are degraded. +* Poor (): Greater than 3% of the documents in the data set are degraded. + +Opening the details of a specific data set shows the degraded documents history, a summary for the data set, and other details that can help you determine if you need to investigate any issues. + +## Investigate issues +The Data Set Quality page has a couple of different ways to help you find ignored fields and investigate issues. +From the data set table, you can open the data set's details page, and view commonly ignored fields and information about those fields. +Open a logs data set in Logs Explorer or other data set types in Discover to find ignored fields in individual documents. + +### Find ignored fields in data sets +To open the details page for a data set with poor or degraded quality and view ignored fields: + +1. From the data set table, click next to a data set with poor or degraded quality. +1. From the details, scroll down to **Quality issues**. + +The **Quality issues** section shows fields that have been ignored, the number of documents that contain ignored fields, and the timestamp of last occurrence of the field being ignored. + +### Find ignored fields in individual logs +To use Logs Explorer or Discover to find ignored fields in individual logs: + +1. Find data sets with degraded documents using the **Degraded Docs** column of the data sets table. +1. Click the percentage in the **Degraded Docs** column to open the data set in Logs Explorer or Discover. + +The **Documents** table in Logs Explorer or Discover is automatically filtered to show documents that were not parsed correctly. +Under the **actions** column, you'll find the degraded document icon (). + +Now that you know which documents contain ignored fields, examine them more closely to find the origin of the issue: + +1. Under the **actions** column, click to open the document details. +1. Select the **JSON** tab. +1. Scroll towards the end of the JSON to find the `ignored_field_values`. + +Here, you'll find all of the `_ignored` fields in the document and their values, which should provide some clues as to why the fields were ignored. \ No newline at end of file diff --git a/docs/en/serverless/serverless-observability.docnav.json b/docs/en/serverless/serverless-observability.docnav.json new file mode 100644 index 0000000000..e8e773c78a --- /dev/null +++ b/docs/en/serverless/serverless-observability.docnav.json @@ -0,0 +1,659 @@ +{ + "mission": "Elastic Observability", + "id": "serverless-observability", + "landingPageSlug": "/serverless/observability/what-is-observability-serverless", + "icon": "logoObservability", + "description": "Description to be written", + "items": [ + { + "slug": "/serverless/observability/serverless-observability-overview", + "classic-sources": [ "enObservabilityObservabilityIntroduction" ], + "classic-skip": true + }, + { + "slug": 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