From 20adf9aa1f42353432d356117e655e799ea1290b Mon Sep 17 00:00:00 2001
From: John O'Leary <jgoleary@gmail.com>
Date: Mon, 25 Sep 2017 09:16:27 +0900
Subject: [PATCH] [SPARK-22107] Change as to alias in python quickstart
## What changes were proposed in this pull request?
Updated docs so that a line of python in the quick start guide executes. Closes #19283
## How was this patch tested?
Existing tests.
Author: John O'Leary <jgoleary@gmail.com>
Closes #19326 from jgoleary/issues/22107.
---
docs/quick-start.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/quick-start.md b/docs/quick-start.md
index a85e5b28a6..200b97230e 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -153,7 +153,7 @@ This first maps a line to an integer value and aliases it as "numWords", creatin
One common data flow pattern is MapReduce, as popularized by Hadoop. Spark can implement MapReduce flows easily:
{% highlight python %}
->>> wordCounts = textFile.select(explode(split(textFile.value, "\s+")).as("word")).groupBy("word").count()
+>>> wordCounts = textFile.select(explode(split(textFile.value, "\s+")).alias("word")).groupBy("word").count()
{% endhighlight %}
Here, we use the `explode` function in `select`, to transfrom a Dataset of lines to a Dataset of words, and then combine `groupBy` and `count` to compute the per-word counts in the file as a DataFrame of 2 columns: "word" and "count". To collect the word counts in our shell, we can call `collect`:
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