Wenchen Fan a60f91284c [SPARK-13467] [PYSPARK] abstract python function to simplify pyspark code ... ## What changes were proposed in this pull request? When we pass a Python function to JVM side, we also need to send its context, e.g. `envVars`, `pythonIncludes`, `pythonExec`, etc. However, it's annoying to pass around so many parameters at many places. This PR abstract python function along with its context, to simplify some pyspark code and make the logic more clear. ## How was the this patch tested? by existing unit tests. Author: Wenchen Fan <wenchen@databricks.com> Closes #11342 from cloud-fan/python-clean.		2016-02-24 12:44:54 -08:00
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__init__.py	[SPARK-12600][SQL] Remove deprecated methods in Spark SQL	2016-01-04 18:02:38 -08:00
column.py	[SPARK-12799] Simplify various string output for expressions	2016-02-21 22:53:15 +08:00
context.py	[SPARK-13467] [PYSPARK] abstract python function to simplify pyspark code	2016-02-24 12:44:54 -08:00
dataframe.py	[SPARK-13329] [SQL] considering output for statistics of logical plan	2016-02-23 12:55:44 -08:00
functions.py	[SPARK-13467] [PYSPARK] abstract python function to simplify pyspark code	2016-02-24 12:44:54 -08:00
group.py	[SPARK-12756][SQL] use hash expression in Exchange	2016-01-13 22:43:28 -08:00
readwriter.py	[SPARK-12749][SQL] add json option to parse floating-point types as DecimalType	2016-01-28 15:25:57 -08:00
tests.py	[SPARK-13410][SQL] Support unionAll for DataFrames with UDT columns.	2016-02-21 16:58:17 -08:00
types.py	[SPARK-11158][SQL] Modified _verify_type() to be more informative on Errors by presenting the Object	2015-10-18 11:39:19 -07:00
utils.py	[SPARK-11804] [PYSPARK] Exception raise when using Jdbc predicates opt…	2015-11-18 08:18:54 -08:00
window.py	[SPARK-10373] [PYSPARK] move @since into pyspark from sql	2015-09-08 20:56:22 -07:00