如果输入有回撤流的话,group by时间窗口会遇到GroupWindowAggregate doesn't support consuming update and delete changes,有没有什么替代方案?输入是来自于流式去重,就是
SELECT [column_list] FROM ( SELECT [column_list], ROW_NUMBER() OVER ([PARTITION BY col1[, col2...]] ORDER BY time_attr [asc|desc]) AS rownum FROM table_name) WHERE rownum = 1 这样的语句 -- Sent from: http://apache-flink.147419.n8.nabble.com/