[SPARK-21358][Examples] Argument of repartitionandsortwithinpartitions at pyspark

[chie8842]

What changes were proposed in this pull request?

At example of repartitionAndSortWithinPartitions at rdd.py, third argument should be True or False.
I proposed fix of example code.

How was this patch tested?

• I rename test_repartitionAndSortWithinPartitions to test_repartitionAndSortWIthinPartitions_asc to specify boolean argument.
• I added test_repartitionAndSortWithinPartitions_desc to test False pattern at third argument.

(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)

Please review http://spark.apache.org/contributing.html before opening a pull request.

[srowen]

The extra test is nice too, yeah. By the way if you change the title to include [SPARK-21358] instead, it will automatically link to the JIRA.

[SparkQA]

Test build #3840 has finished for PR 18586 at commit fac7a70.

• This patch fails PySpark unit tests.
• This patch merges cleanly.
• This patch adds no public classes.

[srowen]

Your new test looks reasonable, though it failed, because I believe the sorting is only by key. It wouldn't necessarily cause them to be ordered by the second value in the tuple. The example is a little bit misleading because it sort of looks like it is sorting by value too. But, I think you could just adjust the test to expect the actual order as it happens here. The output was sorted by key, correctly.

[chie8842]

@srowen Thank you for pointing out about test fail. I fixed it.

[SparkQA]

Test build #3841 has finished for PR 18586 at commit f5804fe.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[rxin]

Merging in master. Thanks.