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Liang-Chi Hsieh 5c78be7a51 [SPARK-5799][SQL] Compute aggregation function on specified numeric columns 
Compute aggregation function on specified numeric columns. For example:

    val df = Seq(("a", 1, 0, "b"), ("b", 2, 4, "c"), ("a", 2, 3, "d")).toDataFrame("key", "value1", "value2", "rest")
    df.groupBy("key").min("value2")

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #4592 from viirya/specific_cols_agg and squashes the following commits:

9446896 [Liang-Chi Hsieh] For comments.
314c4cd [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into specific_cols_agg
353fad7 [Liang-Chi Hsieh] For python unit tests.
54ed0c4 [Liang-Chi Hsieh] Address comments.
b079e6b [Liang-Chi Hsieh] Remove duplicate codes.
55100fb [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into specific_cols_agg
880c2ac [Liang-Chi Hsieh] Fix Python style checks.
4c63a01 [Liang-Chi Hsieh] Fix pyspark.
b1a24fc [Liang-Chi Hsieh] Address comments.
2592f29 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into specific_cols_agg
27069c3 [Liang-Chi Hsieh] Combine functions and add varargs annotation.
371a3f7 [Liang-Chi Hsieh] Compute aggregation function on specified numeric columns.
2015-02-16 10:06:11 -08:00
..
ml [SPARK-5769] Set params in constructors and in setParams in Python ML pipelines 2015-02-15 20:29:26 -08:00
mllib [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames 2015-02-13 23:03:22 -08:00
sql [SPARK-5799][SQL] Compute aggregation function on specified numeric columns 2015-02-16 10:06:11 -08:00
streaming [SPARK-5379][Streaming] Add awaitTerminationOrTimeout 2015-02-04 00:40:28 -08:00
__init__.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
accumulators.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
broadcast.py [SPARK-4548] []SPARK-4517] improve performance of python broadcast 2014-11-24 17:17:03 -08:00
cloudpickle.py [SPARK-3679] [PySpark] pickle the exact globals of functions 2014-09-24 13:00:05 -07:00
conf.py [SPARK-3412] [PySpark] Replace Epydoc with Sphinx to generate Python API docs 2014-10-07 18:09:27 -07:00
context.py Make sure only owner can read / write to directories created for the job. 2015-02-02 14:01:32 -08:00
daemon.py [SPARK-4088] [PySpark] Python worker should exit after socket is closed by JVM 2014-10-25 01:20:39 -07:00
files.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
heapq3.py [SPARK-3073] [PySpark] use external sort in sortBy() and sortByKey() 2014-08-26 16:57:40 -07:00
java_gateway.py [SPARK-5097][SQL] DataFrame 2015-01-27 16:08:24 -08:00
join.py [SPARK-546] Add full outer join to RDD and DStream. 2014-09-24 20:39:09 -07:00
profiler.py [SPARK-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00
rdd.py SPARK-5633 pyspark saveAsTextFile support for compression codec 2015-02-06 13:55:02 -08:00
rddsampler.py [SPARK-4477] [PySpark] remove numpy from RDDSampler 2014-11-20 16:40:25 -08:00
resultiterable.py [SPARK-2627] [PySpark] have the build enforce PEP 8 automatically 2014-08-06 12:58:24 -07:00
serializers.py [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in Python 2015-02-02 19:16:27 -08:00
shell.py [SPARK-3273][SPARK-3301]We should read the version information from the same place 2014-09-06 15:08:43 -07:00
shuffle.py [SPARK-4384] [PySpark] improve sort spilling 2014-11-19 15:45:37 -08:00
statcounter.py StatCounter on NumPy arrays [PYSPARK][SPARK-2012] 2014-08-01 22:33:25 -07:00
storagelevel.py [SPARK-3417] Use new-style classes in PySpark 2014-09-08 15:45:36 -07:00
tests.py [SPARK-5554] [SQL] [PySpark] add more tests for DataFrame Python API 2015-02-03 16:01:56 -08:00
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-4387][PySpark] Refactoring python profiling code to make it extensible 2015-01-28 13:48:06 -08:00