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

[jb...@apache.org]

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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 bc07de0  SOLR-13105: Proof search-sample
bc07de0 is described below

commit bc07de09f68838cd53699d851fd47e1872630a1d
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Mon Oct 14 21:31:56 2019 -0400

    SOLR-13105: Proof search-sample
---
 solr/solr-ref-guide/src/search-sample.adoc | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/solr/solr-ref-guide/src/search-sample.adoc b/solr/solr-ref-guide/src/search-sample.adoc
index 5e29977..7f691f4 100644
--- a/solr/solr-ref-guide/src/search-sample.adoc
+++ b/solr/solr-ref-guide/src/search-sample.adoc
@@ -133,8 +133,7 @@ image::images/math-expressions/bivariate.png[]
 
 Aggregations are a powerful statistical tool for summarizing large data sets and
 surfacing patterns, trends and correlations within the data. Aggregations are also a powerful
-tool for visualization and provide data sets for further statistical analysis. The sections
-below discuss some of the main aggregation functions in Streaming Expressions.
+tool for visualization and provide data sets for further statistical analysis.
 
 === facet
 
@@ -165,6 +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.
+
 === facet2D
 
 The `facet2D` function performs two dimensional aggregations that can be
@@ -181,6 +183,8 @@ then visualized as a heatmap.
 
 image::images/math-expressions/facet2D.png[]
 
+The `facet2D` function supports one of the following aggregate functions: count(*), sum(field),
+avg(field), min(field), max(field).
 
 === timeseries
 
@@ -195,6 +199,9 @@ 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.
+
 === significantTerms
 
 The `significantTerms` function queries a collection,
@@ -276,3 +283,7 @@ number of days with a change greater then .25 on the same days that *jpm* had a
 then .25.
 
 image::images/math-expressions/nodestab.png[]
+
+The `nodes` function supports any combination of count(*), sum, avg, min,
+max aggregate functions.
+