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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/07/04 02:33:00 UTC
[jira] [Commented] (SPARK-35945) Unable to parse multi character
row and column delimited files using Spark
[ https://issues.apache.org/jira/browse/SPARK-35945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17374157#comment-17374157 ]
Hyukjin Kwon commented on SPARK-35945:
--------------------------------------
This is because of the limitation of univocity parser. There's noting Spark side can do.
> Unable to parse multi character row and column delimited files using Spark
> ---------------------------------------------------------------------------
>
> Key: SPARK-35945
> URL: https://issues.apache.org/jira/browse/SPARK-35945
> Project: Spark
> Issue Type: Improvement
> Components: Spark Submit
> Affects Versions: 2.4.4
> Environment: development
> Reporter: Chandra
> Priority: Major
>
> My requirement is to process the file which have a multi character row and column delimiter.
> I tried multiple options but ended up with few issues.
>
> File sample:
> 127'~'127433'~''~''~'2'~'ICR'~'STDLONG'~'NR'~'NR'~'1997-06-25 14:47:37'~''~'NR'~''~'1997-06-25 14:47:37'~'BBB'~''~'Stable'~''~''~''~'Not Rated'~'CreditWatch/Outlook'~'OL'~''~''~''~'#@#@#152'~'308044'~''~''~'2'~'ICR'~'FCLONG'~'NR'~'NR'~'1997-12-05 14:23:33'~'NM'~'NR'~'1997-12-05 14:23:33'~'1997-12-05 14:23:33'~'B+'~'Watch Pos'~'NM'~''~''~''~'Not Rated'~'CreditWatch/Outlook'~'OL'~''~''~''~'#@#@#155'~'308044'~''~''~'2'~'ICR'~'STDLONG'~'NR'~'NR'~'1997-12-05 14:23:34'~'NM'~'NR'~'1997-12-05 14:23:34'~'1997-12-05 14:23:34'~'B+'~'Watch Pos'~'NM'~''~''~''~'Not Rated'~'CreditWatch/Outlook'~'OL'~''~''~''~'#@#[~infrabot]
>
> Row delimiter is : #@#@# COlumn Delimiter: '~'
> Code:
> df2 = spark.read.load("spRatingData_sample.txt",
> format="csv",
> sep="'~'",
> lineSep="#@#@#")
> print("two.csv rowcount: {}".format(df2.count()))
>
> ERROR:
> : java.lang.IllegalArgumentException: Delimiter cannot be more than one character: '~'
> at org.apache.spark.sql.execution.datasources.csv.CSVUtils$.toChar(CSVUtils.scala:118)
> at org.apache.spark.sql.execution.datasources.csv.CSVOptions.<init>(CSVOptions.scala:87)
> at org.apache.spark.sql.execution.datasources.csv.CSVOptions.<init>(CSVOptions.scala:45)
> at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:58)
> at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:183)
> at scala.Option.orElse(Option.scala:447)
> at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:180)
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
> at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> During handling of the above exception, another exception occurred:
> Traceback (most recent call last):
> File "<stdin>", line 4, in <module>
> File "/usr/lib/spark/python/pyspark/sql/readwriter.py", line 166, in load
> return self._df(self._jreader.load(path))
> File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
> File "/usr/lib/spark/python/pyspark/sql/utils.py", line 79, in deco
> raise IllegalArgumentException(s.split(': ', 1)[1], stackTrace)
> pyspark.sql.utils.IllegalArgumentException: "Delimiter cannot be more than one character: '~'"
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