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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.expressions
import org.apache.spark.annotation.Experimental
import org.apache.spark.sql.Column
import org.apache.spark.sql.catalyst.expressions._
/**
* :: Experimental ::
* Utility functions for defining window in DataFrames.
*
* {{{
* // PARTITION BY country ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
* Window.partitionBy("country").orderBy("date").rowsBetween(Long.MinValue, 0)
*
* // PARTITION BY country ORDER BY date ROWS BETWEEN 3 PRECEDING AND 3 FOLLOWING
* Window.partitionBy("country").orderBy("date").rowsBetween(-3, 3)
* }}}
*
* @since 1.4.0
*/
@Experimental
object Window {
/**
* Creates a [[WindowSpec]] with the partitioning defined.
* @since 1.4.0
*/
@_root_.scala.annotation.varargs
def partitionBy(colName: String, colNames: String*): WindowSpec = {
spec.partitionBy(colName, colNames : _*)
}
/**
* Creates a [[WindowSpec]] with the partitioning defined.
* @since 1.4.0
*/
@_root_.scala.annotation.varargs
def partitionBy(cols: Column*): WindowSpec = {
spec.partitionBy(cols : _*)
}
/**
* Creates a [[WindowSpec]] with the ordering defined.
* @since 1.4.0
*/
@_root_.scala.annotation.varargs
def orderBy(colName: String, colNames: String*): WindowSpec = {
spec.orderBy(colName, colNames : _*)
}
/**
* Creates a [[WindowSpec]] with the ordering defined.
* @since 1.4.0
*/
@_root_.scala.annotation.varargs
def orderBy(cols: Column*): WindowSpec = {
spec.orderBy(cols : _*)
}
private def spec: WindowSpec = {
new WindowSpec(Seq.empty, Seq.empty, UnspecifiedFrame)
}
}
/**
* :: Experimental ::
* Utility functions for defining window in DataFrames.
*
* {{{
* // PARTITION BY country ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
* Window.partitionBy("country").orderBy("date").rowsBetween(Long.MinValue, 0)
*
* // PARTITION BY country ORDER BY date ROWS BETWEEN 3 PRECEDING AND 3 FOLLOWING
* Window.partitionBy("country").orderBy("date").rowsBetween(-3, 3)
* }}}
*
* @since 1.4.0
*/
@Experimental
class Window private() // So we can see Window in JavaDoc.
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