public class WindowSpec
extends Object
Use the static methods in Window
to create a WindowSpec
.
Modifier and Type | Method and Description |
---|---|
WindowSpec |
orderBy(Column... cols)
Defines the ordering columns in a
WindowSpec . |
WindowSpec |
orderBy(scala.collection.Seq<Column> cols)
Defines the ordering columns in a
WindowSpec . |
WindowSpec |
orderBy(String colName,
scala.collection.Seq<String> colNames)
Defines the ordering columns in a
WindowSpec . |
WindowSpec |
orderBy(String colName,
String... colNames)
Defines the ordering columns in a
WindowSpec . |
WindowSpec |
partitionBy(Column... cols)
Defines the partitioning columns in a
WindowSpec . |
WindowSpec |
partitionBy(scala.collection.Seq<Column> cols)
Defines the partitioning columns in a
WindowSpec . |
WindowSpec |
partitionBy(String colName,
scala.collection.Seq<String> colNames)
Defines the partitioning columns in a
WindowSpec . |
WindowSpec |
partitionBy(String colName,
String... colNames)
Defines the partitioning columns in a
WindowSpec . |
WindowSpec |
rangeBetween(Column start,
Column end)
Deprecated.
Use the version with Long parameter types. Since 2.4.0.
|
WindowSpec |
rangeBetween(long start,
long end)
Defines the frame boundaries, from
start (inclusive) to end (inclusive). |
WindowSpec |
rowsBetween(long start,
long end)
Defines the frame boundaries, from
start (inclusive) to end (inclusive). |
public WindowSpec orderBy(String colName, String... colNames)
WindowSpec
.colName
- (undocumented)colNames
- (undocumented)public WindowSpec orderBy(Column... cols)
WindowSpec
.cols
- (undocumented)public WindowSpec orderBy(String colName, scala.collection.Seq<String> colNames)
WindowSpec
.colName
- (undocumented)colNames
- (undocumented)public WindowSpec orderBy(scala.collection.Seq<Column> cols)
WindowSpec
.cols
- (undocumented)public WindowSpec partitionBy(String colName, String... colNames)
WindowSpec
.colName
- (undocumented)colNames
- (undocumented)public WindowSpec partitionBy(Column... cols)
WindowSpec
.cols
- (undocumented)public WindowSpec partitionBy(String colName, scala.collection.Seq<String> colNames)
WindowSpec
.colName
- (undocumented)colNames
- (undocumented)public WindowSpec partitionBy(scala.collection.Seq<Column> cols)
WindowSpec
.cols
- (undocumented)public WindowSpec rangeBetween(long start, long end)
start
(inclusive) to end
(inclusive).
Both start
and end
are relative from the current row. For example, "0" means
"current row", while "-1" means one off before the current row, and "5" means the five off
after the current row.
We recommend users use Window.unboundedPreceding
, Window.unboundedFollowing
,
and Window.currentRow
to specify special boundary values, rather than using long values
directly.
A range-based boundary is based on the actual value of the ORDER BY expression(s). An offset is used to alter the value of the ORDER BY expression, for instance if the current order by expression has a value of 10 and the lower bound offset is -3, the resulting lower bound for the current row will be 10 - 3 = 7. This however puts a number of constraints on the ORDER BY expressions: there can be only one expression and this expression must have a numerical data type. An exception can be made when the offset is unbounded, because no value modification is needed, in this case multiple and non-numeric ORDER BY expression are allowed.
import org.apache.spark.sql.expressions.Window
val df = Seq((1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b"))
.toDF("id", "category")
val byCategoryOrderedById =
Window.partitionBy('category).orderBy('id).rangeBetween(Window.currentRow, 1)
df.withColumn("sum", sum('id) over byCategoryOrderedById).show()
+---+--------+---+
| id|category|sum|
+---+--------+---+
| 1| b| 3|
| 2| b| 5|
| 3| b| 3|
| 1| a| 4|
| 1| a| 4|
| 2| a| 2|
+---+--------+---+
start
- boundary start, inclusive. The frame is unbounded if this is
the minimum long value (Window.unboundedPreceding
).end
- boundary end, inclusive. The frame is unbounded if this is the
maximum long value (Window.unboundedFollowing
).public WindowSpec rangeBetween(Column start, Column end)
start
- (undocumented)end
- (undocumented)public WindowSpec rowsBetween(long start, long end)
start
(inclusive) to end
(inclusive).
Both start
and end
are relative positions from the current row. For example, "0" means
"current row", while "-1" means the row before the current row, and "5" means the fifth row
after the current row.
We recommend users use Window.unboundedPreceding
, Window.unboundedFollowing
,
and Window.currentRow
to specify special boundary values, rather than using integral
values directly.
A row based boundary is based on the position of the row within the partition. An offset indicates the number of rows above or below the current row, the frame for the current row starts or ends. For instance, given a row based sliding frame with a lower bound offset of -1 and a upper bound offset of +2. The frame for row with index 5 would range from index 4 to index 6.
import org.apache.spark.sql.expressions.Window
val df = Seq((1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b"))
.toDF("id", "category")
val byCategoryOrderedById =
Window.partitionBy('category).orderBy('id).rowsBetween(Window.currentRow, 1)
df.withColumn("sum", sum('id) over byCategoryOrderedById).show()
+---+--------+---+
| id|category|sum|
+---+--------+---+
| 1| b| 3|
| 2| b| 5|
| 3| b| 3|
| 1| a| 2|
| 1| a| 3|
| 2| a| 2|
+---+--------+---+
start
- boundary start, inclusive. The frame is unbounded if this is
the minimum long value (Window.unboundedPreceding
).end
- boundary end, inclusive. The frame is unbounded if this is the
maximum long value (Window.unboundedFollowing
).