forked from apache/flink
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[FLINK-23014][table-planner] Support streaming window Deduplicate in …
…planner This closes apache#17632
- Loading branch information
1 parent
384af4a
commit 9699484
Showing
18 changed files
with
2,064 additions
and
67 deletions.
There are no files selected for viewing
171 changes: 171 additions & 0 deletions
171
...va/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecWindowDeduplicate.java
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,171 @@ | ||
| /* | ||
| * 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.planner.plan.nodes.exec.stream; | ||
|
|
||
| import org.apache.flink.api.dag.Transformation; | ||
| import org.apache.flink.streaming.api.operators.OneInputStreamOperator; | ||
| import org.apache.flink.streaming.api.operators.SimpleOperatorFactory; | ||
| import org.apache.flink.streaming.api.transformations.OneInputTransformation; | ||
| import org.apache.flink.table.api.TableConfig; | ||
| import org.apache.flink.table.api.TableException; | ||
| import org.apache.flink.table.data.RowData; | ||
| import org.apache.flink.table.planner.delegation.PlannerBase; | ||
| import org.apache.flink.table.planner.plan.logical.WindowAttachedWindowingStrategy; | ||
| import org.apache.flink.table.planner.plan.logical.WindowingStrategy; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecEdge; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecNode; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.InputProperty; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.SingleTransformationTranslator; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.utils.ExecNodeUtil; | ||
| import org.apache.flink.table.planner.plan.utils.KeySelectorUtil; | ||
| import org.apache.flink.table.runtime.keyselector.RowDataKeySelector; | ||
| import org.apache.flink.table.runtime.operators.deduplicate.window.RowTimeWindowDeduplicateOperatorBuilder; | ||
| import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; | ||
| import org.apache.flink.table.runtime.typeutils.PagedTypeSerializer; | ||
| import org.apache.flink.table.runtime.typeutils.RowDataSerializer; | ||
| import org.apache.flink.table.runtime.util.TimeWindowUtil; | ||
| import org.apache.flink.table.types.logical.RowType; | ||
|
|
||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonCreator; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonIgnoreProperties; | ||
| import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonProperty; | ||
|
|
||
| import java.time.ZoneId; | ||
| import java.util.Collections; | ||
| import java.util.List; | ||
|
|
||
| import static org.apache.flink.util.Preconditions.checkArgument; | ||
| import static org.apache.flink.util.Preconditions.checkNotNull; | ||
|
|
||
| /** Stream {@link ExecNode} for Window Deduplicate. */ | ||
| @JsonIgnoreProperties(ignoreUnknown = true) | ||
| public class StreamExecWindowDeduplicate extends ExecNodeBase<RowData> | ||
| implements StreamExecNode<RowData>, SingleTransformationTranslator<RowData> { | ||
|
|
||
| private static final long WINDOW_RANK_MEMORY_RATIO = 100; | ||
|
|
||
| public static final String FIELD_NAME_PARTITION_KEYS = "partitionKeys"; | ||
| public static final String FIELD_NAME_ORDER_KEY = "orderKey"; | ||
| public static final String FIELD_NAME_KEEP_LAST_ROW = "keepLastRow"; | ||
| public static final String FIELD_NAME_WINDOWING = "windowing"; | ||
|
|
||
| @JsonProperty(FIELD_NAME_PARTITION_KEYS) | ||
| private final int[] partitionKeys; | ||
|
|
||
| @JsonProperty(FIELD_NAME_ORDER_KEY) | ||
| private final int orderKey; | ||
|
|
||
| @JsonProperty(FIELD_NAME_KEEP_LAST_ROW) | ||
| private final boolean keepLastRow; | ||
|
|
||
| @JsonProperty(FIELD_NAME_WINDOWING) | ||
| private final WindowingStrategy windowing; | ||
|
|
||
| public StreamExecWindowDeduplicate( | ||
| int[] partitionKeys, | ||
| int orderKey, | ||
| boolean keepLastRow, | ||
| WindowingStrategy windowing, | ||
| InputProperty inputProperty, | ||
| RowType outputType, | ||
| String description) { | ||
| this( | ||
| partitionKeys, | ||
| orderKey, | ||
| keepLastRow, | ||
| windowing, | ||
| getNewNodeId(), | ||
| Collections.singletonList(inputProperty), | ||
| outputType, | ||
| description); | ||
| } | ||
|
|
||
| @JsonCreator | ||
| public StreamExecWindowDeduplicate( | ||
| @JsonProperty(FIELD_NAME_PARTITION_KEYS) int[] partitionKeys, | ||
| @JsonProperty(FIELD_NAME_ORDER_KEY) int orderKey, | ||
| @JsonProperty(FIELD_NAME_KEEP_LAST_ROW) boolean keepLastRow, | ||
| @JsonProperty(FIELD_NAME_WINDOWING) WindowingStrategy windowing, | ||
| @JsonProperty(FIELD_NAME_ID) int id, | ||
| @JsonProperty(FIELD_NAME_INPUT_PROPERTIES) List<InputProperty> inputProperties, | ||
| @JsonProperty(FIELD_NAME_OUTPUT_TYPE) RowType outputType, | ||
| @JsonProperty(FIELD_NAME_DESCRIPTION) String description) { | ||
| super(id, inputProperties, outputType, description); | ||
| checkArgument(inputProperties.size() == 1); | ||
| this.partitionKeys = checkNotNull(partitionKeys); | ||
| this.orderKey = orderKey; | ||
| this.keepLastRow = keepLastRow; | ||
| this.windowing = checkNotNull(windowing); | ||
| } | ||
|
|
||
| @SuppressWarnings("unchecked") | ||
| @Override | ||
| protected Transformation<RowData> translateToPlanInternal(PlannerBase planner) { | ||
| // validate window strategy | ||
| if (!windowing.isRowtime()) { | ||
| throw new TableException("Processing time Window Deduplication is not supported yet."); | ||
| } | ||
| int windowEndIndex; | ||
| if (windowing instanceof WindowAttachedWindowingStrategy) { | ||
| windowEndIndex = ((WindowAttachedWindowingStrategy) windowing).getWindowEnd(); | ||
| } else { | ||
| throw new UnsupportedOperationException( | ||
| windowing.getClass().getName() + " is not supported yet."); | ||
| } | ||
|
|
||
| ExecEdge inputEdge = getInputEdges().get(0); | ||
| Transformation<RowData> inputTransform = | ||
| (Transformation<RowData>) inputEdge.translateToPlan(planner); | ||
|
|
||
| TableConfig tableConfig = planner.getTableConfig(); | ||
| ZoneId shiftTimeZone = | ||
| TimeWindowUtil.getShiftTimeZone(windowing.getTimeAttributeType(), tableConfig); | ||
|
|
||
| RowType inputType = (RowType) inputEdge.getOutputType(); | ||
| RowDataKeySelector selector = | ||
| KeySelectorUtil.getRowDataSelector(partitionKeys, InternalTypeInfo.of(inputType)); | ||
|
|
||
| OneInputStreamOperator<RowData, RowData> operator = | ||
| RowTimeWindowDeduplicateOperatorBuilder.builder() | ||
| .inputSerializer(new RowDataSerializer(inputType)) | ||
| .shiftTimeZone(shiftTimeZone) | ||
| .keySerializer( | ||
| (PagedTypeSerializer<RowData>) | ||
| selector.getProducedType().toSerializer()) | ||
| .keepLastRow(keepLastRow) | ||
| .rowtimeIndex(orderKey) | ||
| .windowEndIndex(windowEndIndex) | ||
| .build(); | ||
|
|
||
| OneInputTransformation<RowData, RowData> transform = | ||
| ExecNodeUtil.createOneInputTransformation( | ||
| inputTransform, | ||
| getDescription(), | ||
| SimpleOperatorFactory.of(operator), | ||
| InternalTypeInfo.of(getOutputType()), | ||
| inputTransform.getParallelism(), | ||
| WINDOW_RANK_MEMORY_RATIO); | ||
|
|
||
| // set KeyType and Selector for state | ||
| transform.setStateKeySelector(selector); | ||
| transform.setStateKeyType(selector.getProducedType()); | ||
| return transform; | ||
| } | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
91 changes: 91 additions & 0 deletions
91
...ache/flink/table/planner/plan/nodes/physical/stream/StreamPhysicalWindowDeduplicate.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,91 @@ | ||
| /* | ||
| * 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.planner.plan.nodes.physical.stream | ||
|
|
||
| import org.apache.flink.table.planner.calcite.FlinkTypeFactory | ||
| import org.apache.flink.table.planner.plan.logical.WindowingStrategy | ||
| import org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecWindowDeduplicate | ||
| import org.apache.flink.table.planner.plan.nodes.exec.{ExecNode, InputProperty} | ||
| import org.apache.flink.table.planner.plan.utils._ | ||
|
|
||
| import org.apache.calcite.plan.{RelOptCluster, RelTraitSet} | ||
| import org.apache.calcite.rel._ | ||
| import org.apache.calcite.rel.`type`.RelDataType | ||
|
|
||
| import java.util | ||
|
|
||
| import scala.collection.JavaConverters._ | ||
|
|
||
| /** | ||
| * Stream physical RelNode which deduplicate on keys and keeps only first row or last row for each | ||
| * window. This node is an optimization of [[StreamPhysicalWindowRank]]. | ||
| * Compared to [[StreamPhysicalWindowRank]], this node could access/write state with higher | ||
| * performance. The RelNode also requires PARTITION BY clause contains start and end columns of | ||
| * the windowing TVF. | ||
| */ | ||
| class StreamPhysicalWindowDeduplicate( | ||
| cluster: RelOptCluster, | ||
| traitSet: RelTraitSet, | ||
| inputRel: RelNode, | ||
| partitionKeys: Array[Int], | ||
| orderKey: Int, | ||
| keepLastRow: Boolean, | ||
| windowing: WindowingStrategy) | ||
| extends SingleRel(cluster, traitSet, inputRel) | ||
| with StreamPhysicalRel { | ||
|
|
||
| override def requireWatermark: Boolean = windowing.isRowtime | ||
|
|
||
| override def deriveRowType(): RelDataType = getInput.getRowType | ||
|
|
||
| override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = { | ||
| new StreamPhysicalWindowDeduplicate( | ||
| cluster, | ||
| traitSet, | ||
| inputs.get(0), | ||
| partitionKeys, | ||
| orderKey, | ||
| keepLastRow, | ||
| windowing) | ||
| } | ||
|
|
||
| override def explainTerms(pw: RelWriter): RelWriter = { | ||
| val inputRowType = inputRel.getRowType | ||
| val inputFieldNames = inputRowType.getFieldNames.asScala.toArray | ||
| val keep = if (keepLastRow) "LastRow" else "FirstRow" | ||
| val orderString = if (windowing.isRowtime) "ROWTIME" else "PROCTIME" | ||
| pw.input("input", getInput) | ||
| .item("window", windowing.toSummaryString(inputFieldNames)) | ||
| .item("keep", keep) | ||
| .item("partitionKeys", RelExplainUtil.fieldToString(partitionKeys, inputRowType)) | ||
| .item("orderKey", inputFieldNames(orderKey)) | ||
| .item("order", orderString) | ||
| } | ||
|
|
||
| override def translateToExecNode(): ExecNode[_] = { | ||
| new StreamExecWindowDeduplicate( | ||
| partitionKeys, | ||
| orderKey, | ||
| keepLastRow, | ||
| windowing, | ||
| InputProperty.DEFAULT, | ||
| FlinkTypeFactory.toLogicalRowType(getRowType), | ||
| getRelDetailedDescription | ||
| ) | ||
| } | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.