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From GitBox <...@apache.org>
Subject [GitHub] [flink] wuchong commented on a change in pull request #8244: [FLINK-11945] [table-runtime-blink] Support over aggregation for blink streaming runtime
Date Sun, 05 May 2019 13:53:07 GMT
wuchong commented on a change in pull request #8244: [FLINK-11945] [table-runtime-blink] Support
over aggregation for blink streaming runtime
URL: https://github.com/apache/flink/pull/8244#discussion_r281021266

 File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/aggregate/RowTimeBoundedRowsOver.java
 @@ -0,0 +1,292 @@
+ * 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.runtime.aggregate;
+import org.apache.flink.api.common.state.MapState;
+import org.apache.flink.api.common.state.MapStateDescriptor;
+import org.apache.flink.api.common.state.ValueState;
+import org.apache.flink.api.common.state.ValueStateDescriptor;
+import org.apache.flink.api.common.typeinfo.Types;
+import org.apache.flink.api.java.typeutils.ListTypeInfo;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
+import org.apache.flink.table.api.TableConfig;
+import org.apache.flink.table.dataformat.BaseRow;
+import org.apache.flink.table.dataformat.JoinedRow;
+import org.apache.flink.table.dataview.PerKeyStateDataViewStore;
+import org.apache.flink.table.generated.AggsHandleFunction;
+import org.apache.flink.table.generated.GeneratedAggsHandleFunction;
+import org.apache.flink.table.type.InternalType;
+import org.apache.flink.table.typeutils.BaseRowTypeInfo;
+import org.apache.flink.util.Collector;
+import org.apache.flink.util.Preconditions;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+ * Process Function for ROWS clause event-time bounded OVER window.
+ */
+public class RowTimeBoundedRowsOver<K> extends
+	ProcessFunctionWithCleanupState<K, BaseRow, BaseRow> {
+	private static final Logger LOG = LoggerFactory.getLogger(RowTimeBoundedRowsOver.class);
+	private GeneratedAggsHandleFunction genAggsHandler;
+	private InternalType[] accTypes;
+	private InternalType[] inputFieldTypes;
+	private Long precedingOffset;
+	private int rowTimeIdx;
+	private JoinedRow output;
+	// the state which keeps the last triggering timestamp
+	private ValueState<Long> lastTriggeringTsState;
+	// the state which keeps the count of data
+	private ValueState<Long> counterState;
+	// the state which used to materialize the accumulator for incremental calculation
+	private ValueState<BaseRow> accState;
+	// the state which keeps all the data that are not expired.
+	// The first element (as the mapState key) of the tuple is the time stamp. Per each time
+	// the second element of tuple is a list that contains the entire data of all the rows belonging
+	// to this time stamp.
+	private MapState<Long, List<BaseRow>> inputState;
+	private AggsHandleFunction function;
 Review comment:
   Mark above member fields as `transient`.

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