chie hayashida created SPARK-21358:
--------------------------------------
Summary: variable of repartitionandsortwithinpartitions at pyspark
Key: SPARK-21358
URL: https://issues.apache.org/jira/browse/SPARK-21358
Project: Spark
Issue Type: Improvement
Components: Documentation, Examples
Affects Versions: 2.1.1
Reporter: chie hayashida
Priority: Minor
In rdd.py, implementation of repartitionandsortwithinpartitions is below.
```
def repartitionAndSortWithinPartitions(self, numPartitions=None,
partitionFunc=portable_hash,
ascending=True, keyfunc=lambda x: x):
```
And at document, there is following sample script.
```
>>> rdd = sc.parallelize([(0, 5), (3, 8), (2, 6), (0, 8), (3, 8), (1,
3)])
>>> rdd2 = rdd.repartitionAndSortWithinPartitions(2, lambda x: x % 2, 2)
```
The third argument (ascending) expected to be boolean, so following script is
better, I think.
```
>>> rdd = sc.parallelize([(0, 5), (3, 8), (2, 6), (0, 8), (3, 8), (1,
3)])
>>> rdd2 = rdd.repartitionAndSortWithinPartitions(2, lambda x: x % 2,
True)
```
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