git commit: [SPARK-4202][SQL] Simple DSL support for Scala UDF
Repository: spark
Updated Branches:
refs/heads/master 24544fbce - c238fb423
[SPARK-4202][SQL] Simple DSL support for Scala UDF
This feature is based on an offline discussion with mengxr, hopefully can be
useful for the new MLlib pipeline API.
For the following test snippet
```scala
case class KeyValue(key: Int, value: String)
val testData = sc.parallelize(1 to 10).map(i = KeyValue(i,
i.toString)).toSchemaRDD
def foo(a: Int, b: String) = a.toString + b
```
the newly introduced DSL enables the following syntax
```scala
import org.apache.spark.sql.catalyst.dsl._
testData.select(Star(None), foo.call('key, 'value) as 'result)
```
which is equivalent to
```scala
testData.registerTempTable(testData)
sqlContext.registerFunction(foo, foo)
sql(SELECT *, foo(key, value) AS result FROM testData)
```
Author: Cheng Lian l...@databricks.com
Closes #3067 from liancheng/udf-dsl and squashes the following commits:
f132818 [Cheng Lian] Adds DSL support for Scala UDF
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/c238fb42
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/c238fb42
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/c238fb42
Branch: refs/heads/master
Commit: c238fb423d1011bd1b1e6201d769b72e52664fc6
Parents: 24544fb
Author: Cheng Lian l...@databricks.com
Authored: Mon Nov 3 13:20:33 2014 -0800
Committer: Michael Armbrust mich...@databricks.com
Committed: Mon Nov 3 13:20:33 2014 -0800
--
.../apache/spark/sql/catalyst/dsl/package.scala | 59
.../org/apache/spark/sql/DslQuerySuite.scala| 17 --
2 files changed, 72 insertions(+), 4 deletions(-)
--
http://git-wip-us.apache.org/repos/asf/spark/blob/c238fb42/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
--
diff --git
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
index 7e6d770..3314e15 100755
---
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
+++
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
@@ -22,6 +22,7 @@ import java.sql.{Date, Timestamp}
import org.apache.spark.sql.catalyst.types.decimal.Decimal
import scala.language.implicitConversions
+import scala.reflect.runtime.universe.{TypeTag, typeTag}
import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
import org.apache.spark.sql.catalyst.expressions._
@@ -285,4 +286,62 @@ package object dsl {
def writeToFile(path: String) = WriteToFile(path, logicalPlan)
}
}
+
+ case class ScalaUdfBuilder[T: TypeTag](f: AnyRef) {
+def call(args: Expression*) = ScalaUdf(f,
ScalaReflection.schemaFor(typeTag[T]).dataType, args)
+ }
+
+ // scalastyle:off
+ /** functionToUdfBuilder 1-22 were generated by this script
+
+(1 to 22).map { x =
+ val argTypes = Seq.fill(x)(_).mkString(, )
+ simplicit def functionToUdfBuilder[T: TypeTag](func:
Function$x[$argTypes, T]) = ScalaUdfBuilder(func)
+}
+ */
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function1[_, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function2[_, _, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function3[_, _, _, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function4[_, _, _, _,
T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function5[_, _, _, _, _,
T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function6[_, _, _, _, _,
_, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function7[_, _, _, _, _,
_, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function8[_, _, _, _, _,
_, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function9[_, _, _, _, _,
_, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function10[_, _, _, _,
_, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function11[_, _, _, _,
_, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function12[_, _, _, _,
_, _, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function13[_, _, _, _,
_, _, _, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function14[_, _, _, _,
_, _, _, _, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def
git commit: [SPARK-4202][SQL] Simple DSL support for Scala UDF
Repository: spark
Updated Branches:
refs/heads/branch-1.2 cc5dc4247 - 572300ba8
[SPARK-4202][SQL] Simple DSL support for Scala UDF
This feature is based on an offline discussion with mengxr, hopefully can be
useful for the new MLlib pipeline API.
For the following test snippet
```scala
case class KeyValue(key: Int, value: String)
val testData = sc.parallelize(1 to 10).map(i = KeyValue(i,
i.toString)).toSchemaRDD
def foo(a: Int, b: String) = a.toString + b
```
the newly introduced DSL enables the following syntax
```scala
import org.apache.spark.sql.catalyst.dsl._
testData.select(Star(None), foo.call('key, 'value) as 'result)
```
which is equivalent to
```scala
testData.registerTempTable(testData)
sqlContext.registerFunction(foo, foo)
sql(SELECT *, foo(key, value) AS result FROM testData)
```
Author: Cheng Lian l...@databricks.com
Closes #3067 from liancheng/udf-dsl and squashes the following commits:
f132818 [Cheng Lian] Adds DSL support for Scala UDF
(cherry picked from commit c238fb423d1011bd1b1e6201d769b72e52664fc6)
Signed-off-by: Michael Armbrust mich...@databricks.com
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/572300ba
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/572300ba
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/572300ba
Branch: refs/heads/branch-1.2
Commit: 572300ba8a5f24b52f19d7033a456248da20bfed
Parents: cc5dc42
Author: Cheng Lian l...@databricks.com
Authored: Mon Nov 3 13:20:33 2014 -0800
Committer: Michael Armbrust mich...@databricks.com
Committed: Mon Nov 3 13:20:51 2014 -0800
--
.../apache/spark/sql/catalyst/dsl/package.scala | 59
.../org/apache/spark/sql/DslQuerySuite.scala| 17 --
2 files changed, 72 insertions(+), 4 deletions(-)
--
http://git-wip-us.apache.org/repos/asf/spark/blob/572300ba/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
--
diff --git
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
index 7e6d770..3314e15 100755
---
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
+++
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
@@ -22,6 +22,7 @@ import java.sql.{Date, Timestamp}
import org.apache.spark.sql.catalyst.types.decimal.Decimal
import scala.language.implicitConversions
+import scala.reflect.runtime.universe.{TypeTag, typeTag}
import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
import org.apache.spark.sql.catalyst.expressions._
@@ -285,4 +286,62 @@ package object dsl {
def writeToFile(path: String) = WriteToFile(path, logicalPlan)
}
}
+
+ case class ScalaUdfBuilder[T: TypeTag](f: AnyRef) {
+def call(args: Expression*) = ScalaUdf(f,
ScalaReflection.schemaFor(typeTag[T]).dataType, args)
+ }
+
+ // scalastyle:off
+ /** functionToUdfBuilder 1-22 were generated by this script
+
+(1 to 22).map { x =
+ val argTypes = Seq.fill(x)(_).mkString(, )
+ simplicit def functionToUdfBuilder[T: TypeTag](func:
Function$x[$argTypes, T]) = ScalaUdfBuilder(func)
+}
+ */
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function1[_, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function2[_, _, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function3[_, _, _, T]) =
ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function4[_, _, _, _,
T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function5[_, _, _, _, _,
T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function6[_, _, _, _, _,
_, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function7[_, _, _, _, _,
_, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function8[_, _, _, _, _,
_, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function9[_, _, _, _, _,
_, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function10[_, _, _, _,
_, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function11[_, _, _, _,
_, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function12[_, _, _, _,
_, _, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def functionToUdfBuilder[T: TypeTag](func: Function13[_, _, _, _,
_, _, _, _, _, _, _, _, _, T]) = ScalaUdfBuilder(func)
+
+ implicit def
