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https://issues.apache.org/jira/browse/SPARK-8786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14647248#comment-14647248
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Takeshi Yamamuro edited comment on SPARK-8786 at 7/30/15 6:28 AM:
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Sorry to make you confused though, a master branch in spark does;
{code}
import org.apache.spark.sql._
import org.apache.spark.sql.types._
val schema = StructType(StructField("x", BinaryType, nullable=false) :: Nil)
val data = sc.parallelize(Row(Array[Byte](1.toByte)) ::
Row(Array[Byte](1.toByte)) :: Row(Array[Byte](2.toByte)) :: Nil)
val df = sqlContext.createDataFrame(data, schema)
df.registerTempTable("test")
sqlContext.sql("SELECT DISTINCT x FROM test").show()
+---+
| x|
+---+
|[1]|
|[2]|
+---+
{code}
was (Author: maropu):
Sorry to make you confused though, a master branch in spark does;
```
import org.apache.spark.sql._
import org.apache.spark.sql.types._
val schema = StructType(StructField("x", BinaryType, nullable=false) :: Nil)
val data = sc.parallelize(Row(Array[Byte](1.toByte)) ::
Row(Array[Byte](1.toByte)) :: Row(Array[Byte](2.toByte)) :: Nil)
val df = sqlContext.createDataFrame(data, schema)
df.registerTempTable("test")
sqlContext.sql("SELECT DISTINCT x FROM test").show()
+---+
| x|
+---+
|[1]|
|[2]|
+---+
```
> Create a wrapper for BinaryType
> -------------------------------
>
> Key: SPARK-8786
> URL: https://issues.apache.org/jira/browse/SPARK-8786
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Davies Liu
>
> The hashCode and equals() of Array[Byte] does check the bytes, we should
> create a wrapper (internally) to do that.
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