spark-instrumented-optimizer/python/pyspark
Dongjoon Hyun 142df4834b [SPARK-16429][SQL] Include StringType columns in describe()
## What changes were proposed in this pull request?

Currently, Spark `describe` supports `StringType`. However, `describe()` returns a dataset for only all numeric columns. This PR aims to include `StringType` columns in `describe()`, `describe` without argument.

**Background**
```scala
scala> spark.read.json("examples/src/main/resources/people.json").describe("age", "name").show()
+-------+------------------+-------+
|summary|               age|   name|
+-------+------------------+-------+
|  count|                 2|      3|
|   mean|              24.5|   null|
| stddev|7.7781745930520225|   null|
|    min|                19|   Andy|
|    max|                30|Michael|
+-------+------------------+-------+
```

**Before**
```scala
scala> spark.read.json("examples/src/main/resources/people.json").describe().show()
+-------+------------------+
|summary|               age|
+-------+------------------+
|  count|                 2|
|   mean|              24.5|
| stddev|7.7781745930520225|
|    min|                19|
|    max|                30|
+-------+------------------+
```

**After**
```scala
scala> spark.read.json("examples/src/main/resources/people.json").describe().show()
+-------+------------------+-------+
|summary|               age|   name|
+-------+------------------+-------+
|  count|                 2|      3|
|   mean|              24.5|   null|
| stddev|7.7781745930520225|   null|
|    min|                19|   Andy|
|    max|                30|Michael|
+-------+------------------+-------+
```

## How was this patch tested?

Pass the Jenkins with a update testcase.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #14095 from dongjoon-hyun/SPARK-16429.
2016-07-08 14:36:50 -07:00
..
ml [SPARK-16348][ML][MLLIB][PYTHON] Use full classpaths for pyspark ML JVM calls 2016-07-05 17:00:24 -07:00
mllib [MINOR][PYSPARK][DOC] Fix wrongly formatted examples in PySpark documentation 2016-07-06 10:45:51 -07:00
sql [SPARK-16429][SQL] Include StringType columns in describe() 2016-07-08 14:36:50 -07:00
streaming [MINOR] Fix Typos 'an -> a' 2016-06-06 09:35:47 +01:00
__init__.py [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
accumulators.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
broadcast.py [SPARK-14418][PYSPARK] fix unpersist of Broadcast in Python 2016-04-06 10:46:34 -07:00
cloudpickle.py [SPARK-16077] [PYSPARK] catch the exception from pickle.whichmodule() 2016-06-24 14:35:34 -07:00
conf.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
context.py [SPARK-16224] [SQL] [PYSPARK] SparkSession builder's configs need to be set to the existing Scala SparkContext's SparkConf 2016-06-28 07:54:44 -07:00
daemon.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
files.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
heapq3.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
java_gateway.py [SPARK-15364][ML][PYSPARK] Implement PySpark picklers for ml.Vector and ml.Matrix under spark.ml.python 2016-06-13 19:59:53 -07:00
join.py [SPARK-14202] [PYTHON] Use generator expression instead of list comp in python_full_outer_jo… 2016-03-28 14:51:36 -07:00
profiler.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
rdd.py [MINOR] Fix Typos 'an -> a' 2016-06-06 09:35:47 +01:00
rddsampler.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
resultiterable.py [SPARK-3074] [PySpark] support groupByKey() with single huge key 2015-04-09 17:07:23 -07:00
serializers.py [SPARK-10542] [PYSPARK] fix serialize namedtuple 2015-09-14 19:46:34 -07:00
shell.py [SPARK-15456][PYSPARK] Fixed PySpark shell context initialization when HiveConf not present 2016-05-20 16:41:57 -07:00
shuffle.py [SPARK-10710] Remove ability to disable spilling in core and SQL 2015-09-19 21:40:21 -07:00
statcounter.py [SPARK-6919] [PYSPARK] Add asDict method to StatCounter 2015-09-29 13:38:15 -07:00
status.py [SPARK-4172] [PySpark] Progress API in Python 2015-02-17 13:36:43 -08:00
storagelevel.py [SPARK-13992][CORE][PYSPARK][FOLLOWUP] Update OFF_HEAP semantics for Java api and Python api 2016-04-12 23:06:55 -07:00
tests.py [SPARK-16224] [SQL] [PYSPARK] SparkSession builder's configs need to be set to the existing Scala SparkContext's SparkConf 2016-06-28 07:54:44 -07:00
traceback_utils.py [SPARK-1087] Move python traceback utilities into new traceback_utils.py file. 2014-09-15 19:28:17 -07:00
worker.py [SPARK-14267] [SQL] [PYSPARK] execute multiple Python UDFs within single batch 2016-03-31 16:40:20 -07:00