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https://issues.apache.org/jira/browse/FLINK-1297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14501182#comment-14501182
]
ASF GitHub Bot commented on FLINK-1297:
---------------------------------------
Github user uce commented on a diff in the pull request:
https://github.com/apache/flink/pull/605#discussion_r28642379
--- Diff:
flink-tests/src/test/java/org/apache/flink/test/accumulators/OperatorStatsAccumulatorsTest.java
---
@@ -0,0 +1,118 @@
+/*
+ * 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.test.accumulators;
+
+import org.apache.flink.api.common.JobExecutionResult;
+import org.apache.flink.api.common.accumulators.OperatorStatsAccumulator;
+import org.apache.flink.api.common.functions.RichFlatMapFunction;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.io.DiscardingOutputFormat;
+import org.apache.flink.api.java.tuple.Tuple1;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.statistics.OperatorStatistics;
+import org.apache.flink.test.util.AbstractTestBase;
+import org.apache.flink.util.Collector;
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.util.Random;
+
+public class OperatorStatsAccumulatorsTest extends AbstractTestBase {
+
+ private static final String ACCUMULATOR_NAME = "op-stats-accumulator";
+
+ public OperatorStatsAccumulatorsTest(){
+ super(new Configuration());
+ }
+
+ @Test
+ public void testAccumulator() {
+
+ try {
+ String input = "";
+
+ Random rand = new Random();
+
+ for (int i = 1; i < 1000; i++) {
+ if(rand.nextDouble()<0.2){
+
input+=String.valueOf(rand.nextInt(5))+"\n";
+ }else{
+
input+=String.valueOf(rand.nextInt(100))+"\n";
+ }
+ }
+
+ String inputFile = createTempFile("datapoints.txt",
input);
+
+ ExecutionEnvironment env =
ExecutionEnvironment.getExecutionEnvironment();
+
+ env.readTextFile(inputFile).
+ flatMap(new StringToInt()).
+ output(new
DiscardingOutputFormat<Tuple1<Integer>>());
+
+ JobExecutionResult result = env.execute();
+ System.out.println("Accumulator results:");
+
+ OperatorStatistics globalStats =
result.getOperatorStatisticsResult(ACCUMULATOR_NAME);
+ System.out.println("Global Stats");
+ System.out.println(globalStats.toString());
+
+ OperatorStatistics[] localStats =
result.getLocalOperatorStatisticsResults(ACCUMULATOR_NAME);
+ System.out.println("Local stats: 0");
+ System.out.println(localStats[0].toString());
+
+ OperatorStatistics merged = localStats[0].clone();
+ for (int i=1;i<localStats.length;i++) {
+ merged.merge(localStats[i]);
+ System.out.println("Local stats: "+i);
+ System.out.println(localStats[i].toString());
+ }
+
Assert.assertEquals(merged.getMin(),globalStats.getMin());
+
Assert.assertEquals(merged.getMax(),globalStats.getMax());
+
Assert.assertEquals(merged.estimateCountDistinct(),globalStats.estimateCountDistinct());
+
Assert.assertEquals(merged.getHeavyHitters().size(),globalStats.getHeavyHitters().size());
+
+ }
+ catch (Exception e) {
--- End diff --
Tests fail anyways if an Exception is thrown. No need for the catch => fail.
> Add support for tracking statistics of intermediate results
> -----------------------------------------------------------
>
> Key: FLINK-1297
> URL: https://issues.apache.org/jira/browse/FLINK-1297
> Project: Flink
> Issue Type: Improvement
> Components: Distributed Runtime
> Reporter: Alexander Alexandrov
> Assignee: Alexander Alexandrov
> Fix For: 0.9
>
> Original Estimate: 1,008h
> Remaining Estimate: 1,008h
>
> One of the major problems related to the optimizer at the moment is the lack
> of proper statistics.
> With the introduction of staged execution, it is possible to instrument the
> runtime code with a statistics facility that collects the required
> information for optimizing the next execution stage.
> I would therefore like to contribute code that can be used to gather basic
> statistics for the (intermediate) result of dataflows (e.g. min, max, count,
> count distinct) and make them available to the job manager.
> Before I start, I would like to hear some feedback form the other users.
> In particular, to handle skew (e.g. on grouping) it might be good to have
> some sort of detailed sketch about the key distribution of an intermediate
> result. I am not sure whether a simple histogram is the most effective way to
> go. Maybe somebody would propose another lightweight sketch that provides
> better accuracy.
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