From f280dd78c5939ab1c96eb523a727c175d2c506a7 Mon Sep 17 00:00:00 2001 From: "mergify[bot]" <37929162+mergify[bot]@users.noreply.github.com> Date: Wed, 12 Oct 2022 11:19:27 +0900 Subject: [PATCH] [8.5](backport #33263) Remove incorrect ES field (#33298) * Remove incorrect ES field (#33263) * Remove incorrect ES field Removes elasticsearch.node_stats.indices.bulk.avg_time.bytes The field doesn't exist in https://github.com/klacabane/elasticsearch/blob/fede65858555e4106027b7498f6dfda85df87c8e/x-pack/plugin/core/src/main/resources/monitoring-es-mb.json and also doesn't make sense that we'd have bytes under a time grouping. * Changelog entry * More whitespace fiddling (cherry picked from commit 10326463609a847d3ff4880d956daedd4ce16710) # Conflicts: # metricbeat/module/elasticsearch/fields.go * metricbeat: make update Co-authored-by: Mat Schaffer --- CHANGELOG.next.asciidoc | 1 + metricbeat/docs/fields.asciidoc | 7 ------- metricbeat/module/elasticsearch/fields.go | 2 +- .../module/elasticsearch/node_stats/_meta/fields.yml | 2 -- 4 files changed, 2 insertions(+), 10 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 5524b4068e7..7e38842a8ab 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -96,6 +96,7 @@ https://github.com/elastic/beats/compare/v8.2.0\...main[Check the HEAD diff] - Change max query size for GetMetricData API to 500 and add RecentlyActive for ListMetrics API call {pull}33105[33105] - Add GCP CloudSQL region filter {pull}32943[32943] - Fix logstash cgroup mappings {pull}33131[33131] +- Remove unused `elasticsearch.node_stats.indices.bulk.avg_time.bytes` mapping {pull}33263[33263] *Packetbeat* diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index 2cfcfa7eb3f..e275fc208f5 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -31885,13 +31885,6 @@ type: long -*`elasticsearch.node.stats.indices.bulk.avg_time.bytes`*:: -+ --- -type: long - --- - *`elasticsearch.node.stats.indices.bulk.avg_time.ms`*:: + -- diff --git a/metricbeat/module/elasticsearch/fields.go b/metricbeat/module/elasticsearch/fields.go index 0034c1655f1..d4dc139b241 100644 --- a/metricbeat/module/elasticsearch/fields.go +++ b/metricbeat/module/elasticsearch/fields.go @@ -32,5 +32,5 @@ func init() { // AssetElasticsearch returns asset data. // This is the base64 encoded zlib format compressed contents of module/elasticsearch. func AssetElasticsearch() string { - return "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" + return "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" } diff --git a/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml b/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml index 54e93e6cd0f..abde1f72bee 100644 --- a/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml +++ b/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml @@ -27,8 +27,6 @@ - name: avg_time type: group fields: - - name: bytes - type: long - name: ms type: long - name: total_time