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https://issues.apache.org/jira/browse/FLINK-10977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16718846#comment-16718846
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ASF GitHub Bot commented on FLINK-10977:
----------------------------------------
dianfu commented on a change in pull request #7209: [FLINK-10977][table] Add
UnBounded FlatAggregate operator to streaming Table API
URL: https://github.com/apache/flink/pull/7209#discussion_r240958352
##########
File path:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamTableAggregate.scala
##########
@@ -0,0 +1,148 @@
+/*
+ * 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.flink.table.plan.nodes.datastream
+
+import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
+import org.apache.calcite.rel.core.AggregateCall
+import org.apache.calcite.rel.{RelNode, RelWriter, SingleRel}
+import org.apache.flink.api.java.functions.NullByteKeySelector
+import org.apache.flink.streaming.api.datastream.DataStream
+import org.apache.flink.table.api.{StreamQueryConfig, StreamTableEnvironment}
+import org.apache.flink.table.functions.utils.TableAggSqlFunction
+import org.apache.flink.table.plan.nodes.CommonAggregate
+import org.apache.flink.table.plan.rules.datastream.DataStreamRetractionRules
+import org.apache.flink.table.plan.schema.RowSchema
+import org.apache.flink.table.runtime.CRowKeySelector
+import org.apache.flink.table.runtime.aggregate.AggregateUtil.CalcitePair
+import org.apache.flink.table.runtime.aggregate._
+import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
+import org.apache.flink.table.util.Logging
+
+/**
+ *
+ * Flink RelNode for data stream unbounded table aggregate
+ *
+ * @param cluster Cluster of the RelNode, represent for an
environment of related
+ * relational expressions during the optimization of a
query.
+ * @param traitSet Trait set of the RelNode
+ * @param inputNode The input RelNode of aggregation
+ * @param schema The type of the rows emitted by this RelNode
+ * @param inputSchema The type of the rows consumed by this RelNode
+ * @param namedAggregates List of calls to aggregate functions and their
output field names
+ * @param groupings The position (in the input Row) of the grouping keys
+ */
+class DataStreamTableAggregate(
+ cluster: RelOptCluster,
+ traitSet: RelTraitSet,
+ inputNode: RelNode,
+ schema: RowSchema,
+ inputSchema: RowSchema,
+ val namedAggregates: Seq[CalcitePair[AggregateCall, String]],
+ val groupings: Array[Int])
+ extends SingleRel(cluster, traitSet, inputNode)
+ with CommonAggregate
+ with DataStreamRel
+ with Logging {
+
+ override def deriveRowType() = schema.relDataType
+
+ override def needsUpdatesAsRetraction = true
+
+ override def producesUpdates = true
+
+ override def consumesRetractions = true
+
+ override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]):
RelNode = {
+ new DataStreamTableAggregate(
+ cluster,
+ traitSet,
+ inputs.get(0),
+ schema,
+ inputSchema,
+ namedAggregates,
+ groupings)
+ }
+
+ override def toString: String = {
+ s"TableAggregate(${
+ if (!groupings.isEmpty) {
+ s"groupBy: (${groupingToString(inputSchema.relDataType, groupings)}), "
+ } else {
+ ""
+ }
+ } flatAggregate:(${aggregationToString(
+ inputSchema.relDataType, groupings, getRowType, namedAggregates, Nil)}))"
+ }
+
+ override def explainTerms(pw: RelWriter): RelWriter = {
+ super.explainTerms(pw)
+ .itemIf("groupBy", groupingToString(
+ inputSchema.relDataType, groupings), !groupings.isEmpty)
+ .item("flatAggregate", aggregationToString(
+ inputSchema.relDataType, groupings, getRowType, namedAggregates, Nil))
+ }
+
+ override def translateToPlan(
+ tableEnv: StreamTableEnvironment,
+ queryConfig: StreamQueryConfig): DataStream[CRow] = {
+
+ val inputDS =
getInput.asInstanceOf[DataStreamRel].translateToPlan(tableEnv, queryConfig)
+ val outRowType = CRowTypeInfo(schema.typeInfo)
+ val aggCall = namedAggregates(0).left
Review comment:
namedAggregates(0) -> namedAggregates.head
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> Add FlatAggregate operator to unbounded streaming Table API
> -----------------------------------------------------------
>
> Key: FLINK-10977
> URL: https://issues.apache.org/jira/browse/FLINK-10977
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: sunjincheng
> Assignee: Hequn Cheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.8.0
>
>
> Add FlatAggregate operator to streaming Table API as described in [Google
> doc|https://docs.google.com/document/d/1tnpxg31EQz2-MEzSotwFzqatsB4rNLz0I-l_vPa5H4Q/edit#heading=h.q23rny2iglsr].
> The usage:
> {code:java}
> val res = tab
> .groupBy('a) // leave out groupBy-clause to define global table aggregates
> .flatAgg(fun: TableAggregateFunction) // output has columns 'a, 'b, 'c
> .select('a, 'c){code}
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