From 542fe02e1f0d72d7238d8b02680099de0d24f4f2 Mon Sep 17 00:00:00 2001 From: Wylie Conlon Date: Thu, 10 Jun 2021 13:42:55 -0400 Subject: [PATCH] Update aggregation reference docs for 7.13 (#101913) * Update aggregation reference docs for 7.13 * Add more reference about filtered metrics --- .../dashboard/aggregation-reference.asciidoc | 18 ++++++++++++------ docs/user/dashboard/lens.asciidoc | 14 ++++++++++++-- 2 files changed, 24 insertions(+), 8 deletions(-) diff --git a/docs/user/dashboard/aggregation-reference.asciidoc b/docs/user/dashboard/aggregation-reference.asciidoc index 7d5547fe3c3c5..39e596df4af34 100644 --- a/docs/user/dashboard/aggregation-reference.asciidoc +++ b/docs/user/dashboard/aggregation-reference.asciidoc @@ -188,6 +188,12 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati | Type | Agg-based | Markdown | Lens | TSVB +| Metrics with filters +| +^| X +| +| + | Average ^| X ^| X @@ -221,7 +227,7 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati | Percentiles ^| X ^| X -| +^| X ^| X | Percentiles Rank @@ -230,10 +236,10 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati | ^| X -| Top hit +| Top hit (Last value) +^| X ^| X ^| X -| ^| X | Value count @@ -266,7 +272,7 @@ For information about {es} pipeline aggregations, refer to {ref}/search-aggregat | Derivative ^| X ^| X -| +^| X ^| X | Max bucket @@ -290,13 +296,13 @@ For information about {es} pipeline aggregations, refer to {ref}/search-aggregat | Moving average ^| X ^| X -| +^| X ^| X | Cumulative sum ^| X ^| X -| +^| X ^| X | Bucket script diff --git a/docs/user/dashboard/lens.asciidoc b/docs/user/dashboard/lens.asciidoc index 3b3a7a9ee527d..9f17a380bc209 100644 --- a/docs/user/dashboard/lens.asciidoc +++ b/docs/user/dashboard/lens.asciidoc @@ -147,14 +147,24 @@ For the answers to common *Lens* questions, review the following. [float] [[kql-]] -===== When should I use the Filter function instead of KQL filters? +===== When should I use the top filter bar, filters function, or "Filter by"? -The easiest way to apply KQL filters is to use <>, but you can also use the *Filters* function in the following scenarios: +Using the top <> bar is best when you want to focus on a known set of +data for all the visualization results. These top level filters are combined with other filters +using AND logic. + +Use the *Filters* function in the following scenarios: * When you want to apply more than one KQL filter to the visualization. * When you want to apply the KQL filter to a single layer, which allows you to visualize filtered and unfiltered data. +Use the *Filter by* advanced option in the following scenarios: + +* When you want to assign a custom color to each filter in a bar, line or area chart. + +* When you want to build a complex table, such as showing both failure rate and overall. + [float] [[when-should-i-normalize-the-data-by-unit-or-use-a-custom-interval]] ===== When should I normalize the data by unit or use a custom interval?