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From "ABHISHEK KUMAR GUPTA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24064) [Spark SQL] Create table using csv does not support binary column Type
Date Wed, 09 May 2018 13:00:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16468817#comment-16468817
] 

ABHISHEK KUMAR GUPTA commented on SPARK-24064:
----------------------------------------------

I am from QA side. Development group can answer it better.

> [Spark SQL] Create table  using csv does not support binary column Type
> -----------------------------------------------------------------------
>
>                 Key: SPARK-24064
>                 URL: https://issues.apache.org/jira/browse/SPARK-24064
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>         Environment: OS Type: Suse 11
> Spark Version: 2.3.0
>            Reporter: ABHISHEK KUMAR GUPTA
>            Priority: Minor
>              Labels: test
>
> #  Launch spark-sql --master yarn                                 
       
>  # create table csvTable (time timestamp, name string, isright boolean, datetoday date,
num binary, height double, score float, decimaler decimal(10,0), id tinyint, age int, license
bigint, length smallint) using CSV options (path "/user/datatmo/customer1.csv");
> Result: Table creation is successful
>     3. Select * from csvTable;
> Throws below Exception
> ERROR SparkSQLDriver:91 - Failed in [select * from csvtable]
> java.lang.UnsupportedOperationException: *CSV data source does not support binary data
type*.
>  at org.apache.spark.sql.execution.datasources.csv.CSVUtils$.org$apache$spark$sql$execution$datasources$csv$CSVUtils$$verifyType$1(CSVUtils.scala:127)
>  at org.apache.spark.sql.execution.datasources.csv.CSVUtils$$anonfun$verifySchema$1.apply(CSVUtils.scala:131)
>  at org.apache.spark.sql.execution.datasources.csv.CSVUtils$$anonfun$verifySchema$1.apply(CSVUtils.scala:131)
>  at scala.collection.Iterator$class.foreach(Iterator.scala:893)
>  at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>  at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>  at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
>  
> But Normal table supports binary Data Type.



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