Updated Branches: refs/heads/branch-0.9 5f63f32b7 -> f3cba2d81
Merge pull request #535 from sslavic/patch-2. Closes #535. Fixed typo in scaladoc Author: Stevo SlaviÄ <ssla...@gmail.com> == Merge branch commits == commit 0a77f789e281930f4168543cc0d3b3ffbf5b3764 Author: Stevo SlaviÄ <ssla...@gmail.com> Date: Tue Feb 4 15:30:27 2014 +0100 Fixed typo in scaladoc (cherry picked from commit 0c05cd374dac309b5444980f10f8dcb820c752c2) Signed-off-by: Reynold Xin <r...@apache.org> Project: http://git-wip-us.apache.org/repos/asf/incubator-spark/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-spark/commit/f3cba2d8 Tree: http://git-wip-us.apache.org/repos/asf/incubator-spark/tree/f3cba2d8 Diff: http://git-wip-us.apache.org/repos/asf/incubator-spark/diff/f3cba2d8 Branch: refs/heads/branch-0.9 Commit: f3cba2d8190416712dc2b8d09b8fccff951aa464 Parents: 5f63f32 Author: Stevo SlaviÄ <ssla...@gmail.com> Authored: Tue Feb 4 09:45:46 2014 -0800 Committer: Reynold Xin <r...@apache.org> Committed: Tue Feb 4 09:46:00 2014 -0800 ---------------------------------------------------------------------- core/src/main/scala/org/apache/spark/Partitioner.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/f3cba2d8/core/src/main/scala/org/apache/spark/Partitioner.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/Partitioner.scala b/core/src/main/scala/org/apache/spark/Partitioner.scala index 3081f92..cfba43d 100644 --- a/core/src/main/scala/org/apache/spark/Partitioner.scala +++ b/core/src/main/scala/org/apache/spark/Partitioner.scala @@ -41,7 +41,7 @@ object Partitioner { * spark.default.parallelism is set, then we'll use the value from SparkContext * defaultParallelism, otherwise we'll use the max number of upstream partitions. * - * Unless spark.default.parallelism is set, He number of partitions will be the + * Unless spark.default.parallelism is set, the number of partitions will be the * same as the number of partitions in the largest upstream RDD, as this should * be least likely to cause out-of-memory errors. *