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James Aley commented on SPARK-8786: ----------------------------------- It does? That doesn't appear to be the case for me in 1.4.1: {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() // Returned three rows, expected two. // +-----------+ // | x| // +-----------+ // |[B@7671a060| // |[B@5f7b5e0c| // |[B@2b7b225f| // +-----------+ {code} I can raise a separate bug if it helps, I just wanted to check to see whether this ticket would already resolve the issue. > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org