Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/3046#discussion_r96860442 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/table.scala --- @@ -855,57 +858,45 @@ class GroupedTable( val fieldExprs = ExpressionParser.parseExpressionList(fields) select(fieldExprs: _*) } - - /** - * Groups the records of a table by assigning them to windows defined by a time or row interval. - * - * For streaming tables of infinite size, grouping into windows is required to define finite - * groups on which group-based aggregates can be computed. - * - * For batch tables of finite size, windowing essentially provides shortcuts for time-based - * groupBy. - * - * @param groupWindow group-window that specifies how elements are grouped. - * @return A windowed table. - */ - def window(groupWindow: GroupWindow): GroupWindowedTable = { - new GroupWindowedTable(table, groupKey, groupWindow) - } } -class GroupWindowedTable( +class WindowGroupedTable( private[flink] val table: Table, private[flink] val groupKey: Seq[Expression], - private[flink] val window: GroupWindow) { + private[flink] val window: Window) { /** - * Performs a selection operation on a windowed table. Similar to an SQL SELECT statement. + * Performs a selection operation on a window grouped table. Similar to an SQL SELECT statement. * The field expressions can contain complex expressions and aggregations. * * Example: * * {{{ - * groupWindowTable.select('key, 'window.start, 'value.avg + " The average" as 'average) + * windowGroupedTable.select('key, 'window.start, 'value.avg + " The average" as 'average) * }}} */ def select(fields: Expression*): Table = { + // get group keys by removing window column --- End diff -- window column -> window alias
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