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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/07/10 00:48:00 UTC
[jira] [Created] (SPARK-21356) CSV datasource failed to parse a
value having newline in its value
Hyukjin Kwon created SPARK-21356:
------------------------------------
Summary: CSV datasource failed to parse a value having newline in its value
Key: SPARK-21356
URL: https://issues.apache.org/jira/browse/SPARK-21356
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0
Reporter: Hyukjin Kwon
Priority: Trivial
This is related with SPARK-21355. I guess this is also a rather corner case. I found this during testing SPARK-21289.
It looks a bug in Univocity.
The codes below failed to parse newline in the value.
{code}
scala> spark.read.csv(Seq("a\nb", "abc").toDS).show()
+---+
|_c0|
+---+
| a|
|abc|
+---+
{code}
But working around can be easily done with quotes as below:
{code}
scala> spark.read.csv(Seq("\"a\nb\"", "abc").toDS).show()
+---+
|_c0|
+---+
|a
b|
|abc|
+---+
{code}
Meaning this works:
with the file below:
{code}
"a
b",abc
{code}
{code}
scala> spark.read.option("multiLine", true).csv("tmp.csv").show()
+---+---+
|_c0|_c1|
+---+---+
|a
b|abc|
+---+---+
{code}
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