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[SPARK-22112][PYSPARK] Supports RDD of strings as input in spark.read.csv in PySpark #19339

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[SPARK-22112][PYSPARK] Supports RDD of strings as input in spark.read.csv in PySpark #19339

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d557892
add csv from `RDD[String]` API and related test case
goldmedal Sep 25, 2017
baaa93f
fix test case
goldmedal Sep 25, 2017
d4ef30a
finish pyspark dataframe from rdd of csv string
goldmedal Sep 25, 2017
9bd4eed
modified comments
goldmedal Sep 25, 2017
7525b48
modified comments
goldmedal Sep 25, 2017
350a93d
remove scala-side api
goldmedal Sep 26, 2017
4040103
use java dataset to wrap rdd api
goldmedal Sep 26, 2017
f542967
simplify the code and add comments
goldmedal Sep 26, 2017
5988336
fix some comment
goldmedal Sep 26, 2017
032b0c8
fix some comment
goldmedal Sep 26, 2017
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@goldmedal
goldmedal committed Sep 26, 2017
commit 032b0c813418f1533e8e61b3c6f84cf2b48ef6be
2 changes: 1 addition & 1 deletion python/pyspark/sql/readwriter.py
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Expand Up @@ -335,7 +335,7 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
``inferSchema`` is enabled. To avoid going through the entire data once, disable
``inferSchema`` option or specify the schema explicitly using ``schema``.

:param path: string, or list of strings, for input path(s).
:param path: string, or list of strings, for input path(s),
or RDD of Strings storing CSV rows.
:param schema: an optional :class:`pyspark.sql.types.StructType` for the input schema
or a DDL-formatted string (For example ``col0 INT, col1 DOUBLE``).
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