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https://issues.apache.org/jira/browse/FLINK-5658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15926463#comment-15926463
]
ASF GitHub Bot commented on FLINK-5658:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3386#discussion_r106203953
--- Diff:
flink-libraries/flink-table/src/test/java/org/apache/flink/table/api/java/stream/sql/UnboundedEventTimeOverProcessFuncTest.java
---
@@ -0,0 +1,240 @@
+/*
+ * 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
+ * <p>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p>
+ * 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 org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.functions.KeySelector;
+import org.apache.flink.api.java.tuple.Tuple;
+import org.apache.flink.api.java.tuple.Tuple1;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.api.java.typeutils.TupleTypeInfo;
+import org.apache.flink.streaming.api.operators.KeyedProcessOperator;
+import org.apache.flink.streaming.api.operators.ProcessOperator;
+import org.apache.flink.streaming.api.watermark.Watermark;
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
+import org.apache.flink.streaming.runtime.tasks.OperatorStateHandles;
+import
org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness;
+import org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness;
+import org.apache.flink.streaming.util.TestHarnessUtil;
+import org.apache.flink.table.functions.AggregateFunction;
+import org.apache.flink.table.functions.aggfunctions.IntSumAggFunction;
+import
org.apache.flink.table.runtime.aggregate.UnboundedEventTimeOverProcessFunction;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.TestLogger;
+import org.junit.Test;
+
+import java.util.concurrent.ConcurrentLinkedQueue;
+
+
+/**
+ * Tests {@link ProcessOperator}.
+ */
+public class UnboundedEventTimeOverProcessFuncTest extends TestLogger {
+
+ @Test
+ public void testUnboundedEventSnapshotAndRestore() throws Exception {
+
+ AggregateFunction[] aggFunc = new AggregateFunction[1];
+ aggFunc[0] = new IntSumAggFunction();
+ int[] aggField = new int[1];
+ aggField[0] = 0;
+
+ TypeInformation<Row> returnType = new
RowTypeInfo(BasicTypeInfo.INT_TYPE_INFO, BasicTypeInfo.INT_TYPE_INFO);
+ TypeInformation<Row> interMediateType = new
RowTypeInfo(BasicTypeInfo.INT_TYPE_INFO, aggFunc[0].getAccumulatorType());
+ KeySelector<Row, Tuple> keyselector = new KeySelector<Row,
Tuple>() {
+ @Override
+ public Tuple getKey(Row value) throws Exception {
+ return new Tuple1<Integer>(1);
+ }
+ };
+
+ KeyedProcessOperator<Tuple, Row, Row> operator =
+ new KeyedProcessOperator<>(
+ new UnboundedEventTimeOverProcessFunction(
+ aggFunc, aggField, 1, interMediateType,
keyselector,
+ new
TupleTypeInfo<Tuple>(BasicTypeInfo.INT_TYPE_INFO)));
+
+ OneInputStreamOperatorTestHarness<Row, Row> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(
+ operator, keyselector, new
TupleTypeInfo<Tuple>(BasicTypeInfo.INT_TYPE_INFO));
+
+ testHarness.setup();
+ testHarness.open();
+
+ Row inputRow = new Row(1);
+ inputRow.setField(0, 1);
+ testHarness.processElement(new StreamRecord<>(inputRow, 12L));
+ testHarness.processElement(new StreamRecord<>(inputRow, 12L));
+ testHarness.processElement(new StreamRecord<>(inputRow, 12L));
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new
ConcurrentLinkedQueue<>();
+ Row res = new Row(2);
--- End diff --
Use `Row.of()` to generate rows more concisely.
> Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ------------------------------------------------------------------------
>
> Key: FLINK-5658
> URL: https://issues.apache.org/jira/browse/FLINK-5658
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Yuhong Hong
>
> The goal of this issue is to add support for OVER RANGE aggregations on event
> time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT
> a,
> SUM(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single
> threaded execution).
> - The ORDER BY clause may only have rowTime() as parameter. rowTime() is a
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5655)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some
> of the restrictions are trivial to address, we can add the functionality in
> this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with
> RexOver expression).
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