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Posted to commits@lucene.apache.org by jb...@apache.org on 2019/10/15 01:37:49 UTC

[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105: Proof search-sample 2

This is an automated email from the ASF dual-hosted git repository.

jbernste pushed a commit to branch SOLR-13105-visual
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git


The following commit(s) were added to refs/heads/SOLR-13105-visual by this push:
     new e048d5f  SOLR-13105: Proof search-sample 2
e048d5f is described below

commit e048d5fd75bf0ae7cd38d567865fdcfd7235ad1d
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Mon Oct 14 21:37:42 2019 -0400

    SOLR-13105: Proof search-sample 2
---
 solr/solr-ref-guide/src/search-sample.adoc | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/solr/solr-ref-guide/src/search-sample.adoc b/solr/solr-ref-guide/src/search-sample.adoc
index 7f691f4..22e43ee 100644
--- a/solr/solr-ref-guide/src/search-sample.adoc
+++ b/solr/solr-ref-guide/src/search-sample.adoc
@@ -164,8 +164,9 @@ The example below shows the multi-dimension aggregation visualized as a grouped
 
 image::images/math-expressions/facetviz2.png[]
 
-The `facet` function supports any combination of count(*), sum, avg, min,
-max aggregate functions.
+The `facet` function supports any combination of the following aggregate functions: count(*), sum, avg, min,
+max.
+
 
 === facet2D
 
@@ -199,8 +200,9 @@ The output of the `timeseries` function is then visualized with a line chart.
 
 image::images/math-expressions/timeseries1.png[]
 
-The `timeseries` function supports any combination of count(*), sum, avg, min,
-max aggregate functions.
+The `timeseries` function supports any combination of the following aggregate functions: count(*), sum, avg, min,
+max.
+
 
 === significantTerms
 
@@ -284,6 +286,6 @@ then .25.
 
 image::images/math-expressions/nodestab.png[]
 
-The `nodes` function supports any combination of count(*), sum, avg, min,
-max aggregate functions.
+The `nodes` function supports any combination of the following aggregate functions: count(*), sum, avg, min,
+max.