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https://issues.apache.org/jira/browse/SPARK-20336?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15980962#comment-15980962
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Armin Braun commented on SPARK-20336:
-------------------------------------
I just tried this on latest Spark and Hadoop/Yarn `2.6.3` and it looks fine to
me with your file:
{code}
$ bin/spark-shell --master yarn --deploy-mode client'
scala> spark.read.option("wholeFile", true).option("header",
true).csv("file:///tmp/temp.csv").show()
+----+----+----+
|col1|col2|col3|
+----+----+----+
| 1| a|text|
| 2| b|テキスト|
| 3| c| 텍스트|
| 4| d|text|
|テキスト|null|null|
|텍스트"|null|null|
| 5| e|last|
+----+----+----+
{code}
> spark.read.csv() with wholeFile=True option fails to read non ASCII unicode
> characters
> --------------------------------------------------------------------------------------
>
> Key: SPARK-20336
> URL: https://issues.apache.org/jira/browse/SPARK-20336
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Environment: Spark 2.2.0 (master branch is downloaded from Github)
> PySpark
> Reporter: HanCheol Cho
>
> I used spark.read.csv() method with wholeFile=True option to load data that
> has multi-line records.
> However, non-ASCII characters are not properly loaded.
> The following is a sample data for test:
> {code:none}
> col1,col2,col3
> 1,a,text
> 2,b,テキスト
> 3,c,텍스트
> 4,d,"text
> テキスト
> 텍스트"
> 5,e,last
> {code}
> When it is loaded without wholeFile=True option, non-ASCII characters are
> shown correctly although multi-line records are parsed incorrectly as follows:
> {code:none}
> testdf_default = spark.read.csv("test.encoding.csv", header=True)
> testdf_default.show()
> +----+----+----+
> |col1|col2|col3|
> +----+----+----+
> | 1| a|text|
> | 2| b|テキスト|
> | 3| c| 텍스트|
> | 4| d|text|
> |テキスト|null|null|
> | 텍스트"|null|null|
> | 5| e|last|
> +----+----+----+
> {code}
> When wholeFile=True option is used, non-ASCII characters are broken as
> follows:
> {code:none}
> testdf_wholefile = spark.read.csv("test.encoding.csv", header=True,
> wholeFile=True)
> testdf_wholefile.show()
> +----+----+--------------------+
> |col1|col2| col3|
> +----+----+--------------------+
> | 1| a| text|
> | 2| b| ������������|
> | 3| c| ���������|
> | 4| d|text
> ������������...|
> | 5| e| last|
> +----+----+--------------------+
> {code}
> The result is same even if I use encoding="UTF-8" option with wholeFile=True.
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