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https://issues.apache.org/jira/browse/SPARK-24064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-24064.
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Resolution: Won't Fix
> [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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