From fe12277b40082585e40e1bdf6aa2ebcfe80ed83f Mon Sep 17 00:00:00 2001 From: Jeff Zhang Date: Thu, 6 Aug 2015 21:03:47 -0700 Subject: Fix doc typo Straightforward fix on doc typo Author: Jeff Zhang Closes #8019 from zjffdu/master and squashes the following commits: aed6e64 [Jeff Zhang] Fix doc typo --- docs/tuning.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs/tuning.md') diff --git a/docs/tuning.md b/docs/tuning.md index 572c7270e4..6936912a6b 100644 --- a/docs/tuning.md +++ b/docs/tuning.md @@ -240,7 +240,7 @@ worth optimizing. ## Data Locality Data locality can have a major impact on the performance of Spark jobs. If data and the code that -operates on it are together than computation tends to be fast. But if code and data are separated, +operates on it are together then computation tends to be fast. But if code and data are separated, one must move to the other. Typically it is faster to ship serialized code from place to place than a chunk of data because code size is much smaller than data. Spark builds its scheduling around this general principle of data locality. -- cgit v1.2.3