[jira] [Comment Edited] (SPARK-8786) Create a wrapper for BinaryType
[ https://issues.apache.org/jira/browse/SPARK-8786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14647248#comment-14647248 ] Takeshi Yamamuro edited comment on SPARK-8786 at 7/30/15 6:26 AM: -- 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]| +---+ ``` 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. -- 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
[jira] [Comment Edited] (SPARK-8786) Create a wrapper for BinaryType
[
https://issues.apache.org/jira/browse/SPARK-8786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14647248#comment-14647248
]
Takeshi Yamamuro edited comment on SPARK-8786 at 7/30/15 6:28 AM:
--
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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