[datafu] branch master updated: Fix small typo in spark guide

[mh...@apache.org]

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mhayes pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/datafu.git


The following commit(s) were added to refs/heads/master by this push:
     new c95685f  Fix small typo in spark guide
c95685f is described below

commit c95685fd079d9152e108a6417039f9b426d69abf
Author: Matthew Hayes <mh...@apache.org>
AuthorDate: Fri Oct 25 11:56:54 2019 -0700

    Fix small typo in spark guide
---
 site/source/docs/spark/guide.html.markdown.erb | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/site/source/docs/spark/guide.html.markdown.erb b/site/source/docs/spark/guide.html.markdown.erb
index 34d1feb..10f5634 100644
--- a/site/source/docs/spark/guide.html.markdown.erb
+++ b/site/source/docs/spark/guide.html.markdown.erb
@@ -78,8 +78,6 @@ This should produce the following output
 +---+-----+---+
 </pre>
 
-## Calling Pyspark functions from Scala using DataFu
-
 ## Using DataFu to do Skewed Joins
 
 DataFu-Spark contains two methods for doing skewed joins.
@@ -204,7 +202,7 @@ In order to use _joinWithRange_ on tables, they need to meet two requirements:
 1. the points table (_grades_ in our example) needs to be distinct on the point column
 2. the range and point columns need to be numeric
 
-If there are ranges that overlap, a point that matches will be joined to all the ranges that include it. In order to take only one range per point, you can use the joinWithRangeAndDedup_ method.
+If there are ranges that overlap, a point that matches will be joined to all the ranges that include it. In order to take only one range per point, you can use the _joinWithRangeAndDedup_ method.
 
 It takes the same parameters as _joinWithRange_, with one addition - whether to match the largest or smallest range that contains a point.