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https://issues.apache.org/jira/browse/FLINK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15949930#comment-15949930
]
ASF GitHub Bot commented on FLINK-6216:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3646#discussion_r109047011
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/table/GroupAggregationsITCase.scala
---
@@ -0,0 +1,304 @@
+/*
+ * 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.scala.stream.table
+
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo
+import org.apache.flink.api.scala._
+import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
+import org.apache.flink.streaming.util.StreamingMultipleProgramsTestBase
+import org.apache.flink.table.api.scala._
+import org.apache.flink.table.api.scala.stream.utils.{StreamITCase,
StreamTestData}
+import org.apache.flink.table.api.{TableEnvironment, ValidationException}
+import org.apache.flink.types.Row
+import org.junit.Assert.assertEquals
+import org.junit.Test
+
+import scala.collection.mutable
+
+/**
+ * Tests of groupby (without window & early-firing) aggregations
+ */
+class GroupAggregationsITCase extends StreamingMultipleProgramsTestBase {
+
+ @Test(expected = classOf[ValidationException])
+ def testGroupingOnNonExistentField(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val ds = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ // must fail. '_foo is not a valid field
+ .groupBy('_foo)
+ .select('a.avg)
+ }
+
+ @Test(expected = classOf[ValidationException])
+ def testGroupingInvalidSelection(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val ds = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .groupBy('a, 'b)
+ // must fail. 'c is not a grouping key or aggregation
+ .select('c)
+ }
+
+ @Test
+ def testGroupAggregate(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ env.setParallelism(1)
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val t = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .groupBy('b)
+ .select('b, 'a.sum)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "1,1", "2,2", "2,5", "3,4", "3,9", "3,15", "4,7", "4,15",
+ "4,24", "4,34", "5,11", "5,23", "5,36", "5,50", "5,65", "6,16",
"6,33", "6,51", "6,70",
+ "6,90", "6,111")
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testForwardGroupingKeyIfNotUsed(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ env.setParallelism(1)
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val t = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .groupBy('b)
+ .select('a.sum)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "1", "2", "5", "4", "9", "15", "7", "15", "24", "34",
+ "11", "23", "36", "50", "65", "16", "33", "51", "70", "90", "111")
+
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testDoubleGroupAggregation(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val t = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .groupBy('b)
+ .select('a.sum as 'd, 'b)
+ .groupBy('b, 'd)
+ .select('b)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "1",
+ "2", "2",
+ "3", "3", "3",
+ "4", "4", "4", "4",
+ "5", "5", "5", "5", "5",
+ "6", "6", "6", "6", "6", "6")
+
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testGroupedAggregateWithLongKeys(): Unit = {
+ // When the key is short, the normalized key is sufficient.
+ // This test uses a relative long keys to force serialized comparison.
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ env.setParallelism(1)
+ StreamITCase.clear
+
+ val ds = env.fromElements(
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhaa",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhaa",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhaa",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhaa",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhaa",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhab",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhab",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhab",
1, 2),
+ ("hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhab",
1, 2))
+ .toTable(tEnv, 'a, 'b, 'c)
+ .groupBy('a, 'b)
+ .select('c.sum)
+
+ val results = ds.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList("2", "4", "6", "8", "10", "2", "4",
"6", "8")
+
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testGroupAggregateWithConstant1(): Unit = {
+
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ env.setParallelism(1)
+ StreamITCase.clear
+ val t = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .select('a, 4 as 'four, 'b)
+ .groupBy('four, 'a)
+ .select('four, 'b.sum)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "4,1", "4,2", "4,2", "4,3", "4,3", "4,3", "4,4", "4,4",
+ "4,4", "4,4", "4,5", "4,5", "4,5", "4,5", "4,5", "4,6", "4,6",
"4,6", "4,6", "4,6", "4,6")
+
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testGroupAggregateWithConstant2(): Unit = {
+
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ env.setParallelism(1)
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val t = StreamTestData.get3TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c)
+ .select('b, 4 as 'four, 'a)
+ .groupBy('b, 'four)
+ .select('four, 'a.sum)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "4,1", "4,2", "4,5", "4,4", "4,9", "4,15", "4,7",
+ "4,15", "4,24", "4,34", "4,11", "4,23", "4,36", "4,50", "4,65",
"4,16", "4,33",
+ "4,51", "4,70", "4,90", "4,111")
+
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testGroupAggregateWithExpression(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ env.setParallelism(1)
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.clear
+
+ val t = StreamTestData.get5TupleDataStream(env).toTable(tEnv, 'a, 'b,
'c, 'd, 'e)
+ .groupBy('e, 'b % 3)
+ .select('c.min, 'e, 'a.avg, 'd.count)
+
+ val results = t.toDataStream[Row]
+ results.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "0,1,1,1", "1,2,2,1", "2,1,2,1", "3,2,3,1", "1,2,2,2",
+ "5,3,3,1", "3,2,3,2", "7,1,4,1", "2,1,3,2", "3,2,3,3", "7,1,4,2",
"5,3,4,2", "12,3,5,1",
+ "1,2,3,3", "14,2,5,1")
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testGroupAggregateWithExpressionInSelect(): Unit = {
--- End diff --
I think this test can be removed.
> DataStream unbounded groupby aggregate with early firing
> --------------------------------------------------------
>
> Key: FLINK-6216
> URL: https://issues.apache.org/jira/browse/FLINK-6216
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Shaoxuan Wang
> Assignee: Shaoxuan Wang
>
> Groupby aggregate results in a replace table. For infinite groupby aggregate,
> we need a mechanism to define when the data should be emitted (early-fired).
> This task is aimed to implement the initial version of unbounded groupby
> aggregate, where we update and emit aggregate value per each arrived record.
> In the future, we will implement the mechanism and interface to let user
> define the frequency/period of early-firing the unbounded groupby aggregation
> results.
> The limit space of backend state is one of major obstacles for supporting
> unbounded groupby aggregate in practical. Due to this reason, we suggest two
> common (and very useful) use-cases of this unbounded groupby aggregate:
> 1. The range of grouping key is limit. In this case, a new arrival record
> will either insert to state as new record or replace the existing record in
> the backend state. The data in the backend state will not be evicted if the
> resource is properly provisioned by the user, such that we can provision the
> correctness on aggregation results.
> 2. When the grouping key is unlimited, we will not be able ensure the 100%
> correctness of "unbounded groupby aggregate". In this case, we will reply on
> the TTL mechanism of the RocksDB backend state to evicted old data such that
> we can provision the correct results in a certain time range.
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