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Liwei Lin 1dbb725dbe
[SPARK-16462][SPARK-16460][SPARK-15144][SQL] Make CSV cast null values properly 
## Problem

CSV in Spark 2.0.0:
-  does not read null values back correctly for certain data types such as `Boolean`, `TimestampType`, `DateType` -- this is a regression comparing to 1.6;
- does not read empty values (specified by `options.nullValue`) as `null`s for `StringType` -- this is compatible with 1.6 but leads to problems like SPARK-16903.

## What changes were proposed in this pull request?

This patch makes changes to read all empty values back as `null`s.

## How was this patch tested?

New test cases.

Author: Liwei Lin <lwlin7@gmail.com>

Closes #14118 from lw-lin/csv-cast-null.
2016-09-18 19:25:58 +01:00
..
ml [SPARK-17389][FOLLOW-UP][ML] Change KMeans k-means|| default init steps from 5 to 2. 2016-09-11 13:47:13 +01:00
mllib [SPARK-17548][MLLIB] Word2VecModel.findSynonyms no longer spuriously rejects the best match when invoked with a vector 2016-09-17 12:49:58 +01:00
sql [SPARK-16462][SPARK-16460][SPARK-15144][SQL] Make CSV cast null values properly 2016-09-18 19:25:58 +01:00
streaming [SPARK-16950] [PYSPARK] fromOffsets parameter support in KafkaUtils.createDirectStream for python3 2016-08-09 09:44:43 -07:00
__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-17472] [PYSPARK] Better error message for serialization failures of large objects in Python 2016-09-14 13:37:35 -07:00
cloudpickle.py [SPARK-17472] [PYSPARK] Better error message for serialization failures of large objects in Python 2016-09-14 13:37:35 -07:00
conf.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
context.py [SPARK-17525][PYTHON] Remove SparkContext.clearFiles() from the PySpark API as it was removed from the Scala API prior to Spark 2.0.0 2016-09-14 09:38:30 +01:00
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 [DOC] improve python doc for rdd.histogram and dataframe.join 2016-07-18 23:49:47 -07:00
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-16536][SQL][PYSPARK][MINOR] Expose sql in PySpark Shell 2016-07-13 22:24:26 -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