From 0c047ef4dc579056a2a2eaf93ce98dc72a0f6f6c Mon Sep 17 00:00:00 2001 From: "Grot (@grafanabot)" <43478413+grafanabot@users.noreply.github.com> Date: Mon, 3 Apr 2023 11:16:53 -0500 Subject: [PATCH] [v9.2.x] Docs: Add transformations doc link for What's New v9.2 (#65848) Docs: Add transformations doc link for What's New v9.2 (#65673) * Add transformations doc link Add transformations doc link to `Transformations: INNER JOINs` section. Related issue: https://github.com/grafana/grafana/issues/65671 * Apply suggestions from code review Co-authored-by: Isabel <76437239+imatwawana@users.noreply.github.com> --------- Co-authored-by: Christopher Moyer <35463610+chri2547@users.noreply.github.com> Co-authored-by: Isabel <76437239+imatwawana@users.noreply.github.com> (cherry picked from commit b86c0bc4fa8a023dfe65eb3265888be91be742ee) Co-authored-by: Christine Wang --- docs/sources/whatsnew/whats-new-in-v9-2.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/sources/whatsnew/whats-new-in-v9-2.md b/docs/sources/whatsnew/whats-new-in-v9-2.md index ada1d5a623d..1e212b028c8 100644 --- a/docs/sources/whatsnew/whats-new-in-v9-2.md +++ b/docs/sources/whatsnew/whats-new-in-v9-2.md @@ -140,8 +140,8 @@ For details on using this functionality, see [GitHub pull request #55313](https: ## Transformations: INNER JOINs -Transformations allow you to shape raw data from data sources, like metrics series or GitHub issues, into a format that's appropriate for the chosen visualization. -We have extended the Join transformation to support INNER JOINs in addition to OUTER JOINs. These work similarly to SQL JOINs. +[Transformations]({{< relref "../panels-visualizations/query-transform-data/transform-data/" >}}) allow you to shape raw data from data sources, like metrics series or GitHub issues, into a format that's appropriate for the chosen visualization. +We have extended the [Join transformation]({{< relref "../panels-visualizations/query-transform-data/transform-data/#join-by-field" >}}) to support INNER JOINs in addition to OUTER JOINs. These work similarly to SQL JOINs. {{< figure src="/static/img/docs/transformations/transform-outer-join-9-2.png" max-width="750px" caption="Query builder groupings for Google Cloud monitoring" >}}