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https://issues.apache.org/jira/browse/FLINK-5654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15947359#comment-15947359
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ASF GitHub Bot commented on FLINK-5654:
---------------------------------------
Github user sunjincheng121 commented on a diff in the pull request:
https://github.com/apache/flink/pull/3641#discussion_r108702149
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
---
@@ -17,24 +17,38 @@
*/
package org.apache.flink.table.plan.nodes.datastream
-import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
+import java.util.{ List => JList }
+
+import org.apache.flink.table.runtime.aggregate.AggregateUtil.CalcitePair
+import org.apache.calcite.plan.RelOptCluster
+import org.apache.calcite.plan.RelTraitSet
+import org.apache.calcite.rel.RelNode
+import org.apache.calcite.rel.RelWriter
+import org.apache.calcite.rel.SingleRel
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.AggregateCall
-import org.apache.calcite.rel.{RelNode, RelWriter, SingleRel}
+import org.apache.calcite.rel.core.Window
+import org.apache.calcite.rel.core.Window.Group
+import org.apache.calcite.sql.`type`.BasicSqlType
import org.apache.flink.api.java.typeutils.RowTypeInfo
import org.apache.flink.streaming.api.datastream.DataStream
-import org.apache.flink.table.api.{StreamTableEnvironment, TableException}
+import org.apache.flink.table.api.StreamTableEnvironment
+import org.apache.flink.table.api.TableException
import org.apache.flink.table.calcite.FlinkTypeFactory
-import org.apache.flink.table.runtime.aggregate._
+import org.apache.flink.table.functions.ProcTimeType
+import org.apache.flink.table.functions.RowTimeType
import org.apache.flink.table.plan.nodes.OverAggregate
+import org.apache.flink.table.runtime.aggregate.AggregateUtil
import org.apache.flink.types.Row
-import org.apache.calcite.rel.core.Window
-import org.apache.calcite.rel.core.Window.Group
-import java.util.{List => JList}
-
+import org.apache.calcite.sql.`type`.IntervalSqlType
+import org.apache.calcite.rex.RexInputRef
+import org.apache.flink.streaming.api.windowing.time.Time
+import org.apache.flink.api.java.tuple.Tuple
+import org.apache.flink.util.Collector
+import java.util.concurrent.TimeUnit
--- End diff --
Please remove un-use import.
> Add processing time OVER RANGE BETWEEN x PRECEDING aggregation to SQL
> ---------------------------------------------------------------------
>
> Key: FLINK-5654
> URL: https://issues.apache.org/jira/browse/FLINK-5654
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: radu
>
> The goal of this issue is to add support for OVER RANGE aggregations on
> processing time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT
> a,
> SUM(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN INTERVAL '1'
> HOUR PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN INTERVAL '1'
> HOUR PRECEDING AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single
> threaded execution).
> - The ORDER BY clause may only have procTime() as parameter. procTime() is a
> parameterless scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5657)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some
> of the restrictions are trivial to address, we can add the functionality in
> this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with
> RexOver expression).
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