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authorBill Chambers <wchambers@ischool.berkeley.edu>2015-08-19 00:05:01 -0700
committerReynold Xin <rxin@databricks.com>2015-08-19 00:05:12 -0700
commit417852f7ca50e23a6b1f669c106a9e7376b2165a (patch)
treef1905f939a9a45bb9347361283c9b1315f230de0
parent392bd19d678567751cd3844d9d166a7491c5887e (diff)
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Fix Broken Link
Link was broken because it included tick marks. Author: Bill Chambers <wchambers@ischool.berkeley.edu> Closes #8302 from anabranch/patch-1. (cherry picked from commit b23c4d3ffc36e47c057360c611d8ab1a13877699) Signed-off-by: Reynold Xin <rxin@databricks.com>
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diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
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@@ -28,7 +28,7 @@ All of the examples on this page use sample data included in the Spark distribut
<div data-lang="scala" markdown="1">
The entry point into all functionality in Spark SQL is the
-[`SQLContext`](api/scala/index.html#org.apache.spark.sql.`SQLContext`) class, or one of its
+[`SQLContext`](api/scala/index.html#org.apache.spark.sql.SQLContext) class, or one of its
descendants. To create a basic `SQLContext`, all you need is a SparkContext.
{% highlight scala %}