Github user sunjincheng121 commented on a diff in the pull request:
https://github.com/apache/flink/pull/3547#discussion_r106344831
--- Diff:
flink-libraries/flink-table/src/test/java/org/apache/flink/table/api/java/stream/sql/ProcTimeRowStreamAggregationSqlITCase.java
---
@@ -0,0 +1,317 @@
+/*
+ * 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.api.java.stream.sql;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.flink.api.java.tuple.Tuple5;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.util.StreamingMultipleProgramsTestBase;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.TableEnvironment;
+import org.apache.flink.table.api.java.StreamTableEnvironment;
+import org.apache.flink.table.api.java.stream.utils.StreamTestData;
+import org.apache.flink.table.api.scala.stream.utils.StreamITCase;
+import org.apache.flink.types.Row;
+import org.junit.Ignore;
+import org.junit.Test;
+
+public class ProcTimeRowStreamAggregationSqlITCase extends
StreamingMultipleProgramsTestBase {
+
+
+ @Test
+ public void testMaxAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, MAX(c) OVER (PARTITION BY a ORDER
BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS maxC FROM MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0");
+ expected.add("2,1");
+ expected.add("2,2");
+ expected.add("3,3");
+ expected.add("3,4");
+ expected.add("3,5");
+ expected.add("4,6");
+ expected.add("4,7");
+ expected.add("4,8");
+ expected.add("4,9");
+ expected.add("5,10");
+ expected.add("5,11");
+ expected.add("5,12");
+ expected.add("5,14");
+ expected.add("5,14");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testMinAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, MIN(c) OVER (PARTITION BY a ORDER
BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS maxC FROM MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0");
+ expected.add("2,1");
+ expected.add("2,1");
+ expected.add("3,3");
+ expected.add("3,3");
+ expected.add("3,4");
+ expected.add("4,6");
+ expected.add("4,6");
+ expected.add("4,7");
+ expected.add("4,8");
+ expected.add("5,10");
+ expected.add("5,10");
+ expected.add("5,11");
+ expected.add("5,12");
+ expected.add("5,13");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testSumAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, SUM(c) OVER (PARTITION BY a ORDER
BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS sumC FROM MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0");
+ expected.add("2,1");
+ expected.add("2,3");
+ expected.add("3,3");
+ expected.add("3,7");
+ expected.add("3,9");
+ expected.add("4,6");
+ expected.add("4,13");
+ expected.add("4,15");
+ expected.add("4,17");
+ expected.add("5,10");
+ expected.add("5,21");
+ expected.add("5,23");
+ expected.add("5,26");
+ expected.add("5,27");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testSumMinAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, "
+ + "SUM(c) OVER (PARTITION BY a ORDER BY
procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS sumC,"
+ + "MIN(c) OVER (PARTITION BY a ORDER BY
procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS minC"
+ + " FROM MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0,0");
+ expected.add("2,1,1");
+ expected.add("2,3,1");
+ expected.add("3,3,3");
+ expected.add("3,7,3");
+ expected.add("3,9,4");
+ expected.add("4,6,6");
+ expected.add("4,13,6");
+ expected.add("4,15,7");
+ expected.add("4,17,8");
+ expected.add("5,10,10");
+ expected.add("5,21,10");
+ expected.add("5,23,11");
+ expected.add("5,26,12");
+ expected.add("5,27,13");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testGlobalSumAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT SUM(c) OVER (ORDER BY procTime() ROWS
BETWEEN 2 PRECEDING AND CURRENT ROW) AS sumC FROM MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("0");
+ expected.add("1");
+ expected.add("3");
+ expected.add("5");
+ expected.add("7");
+ expected.add("9");
+ expected.add("11");
+ expected.add("13");
+ expected.add("15");
+ expected.add("17");
+ expected.add("19");
+ expected.add("21");
+ expected.add("23");
+ expected.add("26");
+ expected.add("27");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testAvgAggregatation() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, AVG(c) OVER (PARTITION BY a ORDER
BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS avgC, e FROM
MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0,1");
+ expected.add("2,1,1");
+ expected.add("2,1,2");
+ expected.add("3,3,2");
+ expected.add("3,3,2");
+ expected.add("3,4,3");
+ expected.add("4,6,1");
+ expected.add("4,6,2");
+ expected.add("4,7,1");
+ expected.add("4,8,2");
+ expected.add("5,10,1");
+ expected.add("5,10,3");
+ expected.add("5,11,3");
+ expected.add("5,13,2");
+ expected.add("5,13,2");
+
+ StreamITCase.compareWithList(expected);
+ }
+
+ @Test
+ public void testAvgAggregatation2() throws Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ StreamTableEnvironment tableEnv =
TableEnvironment.getTableEnvironment(env);
+ StreamITCase.clear();
+
+ env.setParallelism(1);
+
+ DataStream<Tuple5<Integer, Long, Integer, String, Long>> ds =
StreamTestData.get5TupleDataStream(env);
+ Table in = tableEnv.fromDataStream(ds, "a,b,c,d,e");
+ tableEnv.registerTable("MyTable", in);
+
+ String sqlQuery = "SELECT a, AVG(c) OVER (PARTITION BY a ORDER
BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS avgC, d FROM
MyTable";
+ Table result = tableEnv.sql(sqlQuery);
+
+ DataStream<Row> resultSet = tableEnv.toDataStream(result,
Row.class);
+ resultSet.addSink(new StreamITCase.StringSink());
+ env.execute();
+
+ List<String> expected = new ArrayList<>();
+ expected.add("1,0,Hallo");
+ expected.add("2,1,Hallo Welt");
+ expected.add("2,1,Hallo Welt wie");
+ expected.add("3,3,ABC");
+ expected.add("3,3,Hallo Welt wie gehts?");
+ expected.add("3,4,BCD");
+ expected.add("4,6,CDE");
+ expected.add("4,6,DEF");
+ expected.add("4,7,EFG");
+ expected.add("4,8,FGH");
+ expected.add("5,10,GHI");
+ expected.add("5,10,HIJ");
+ expected.add("5,11,IJK");
+ expected.add("5,13,JKL");
--- End diff --
This result incorrect.The reason for the error I left the comments in
`DataStreamOverAggregate.scala`
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