[
https://issues.apache.org/jira/browse/FLINK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15949927#comment-15949927
]
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_r109045587
--- 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 = {
--- End diff --
These syntax tests should be moved to a `GroupAggregationsTest` class that
also tests a few execution plans (like `GroupWindowTest`).
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
