zentol commented on a change in pull request #10378: [FLINK-14919] 
[flink-end-to-end-perf-tests] Add performance e2e test suite for basic 
operations
URL: https://github.com/apache/flink/pull/10378#discussion_r366964734
 
 

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 File path: 
flink-end-to-end-perf-tests/flink-basic-operations/src/main/java/org/apache/flink/basic/utils/FromElements.java
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+/*
+ * 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.basic.utils;
+
+import org.apache.flink.api.common.functions.RuntimeContext;
+import org.apache.flink.api.common.state.ListState;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.common.typeutils.base.LongSerializer;
+import org.apache.flink.api.java.typeutils.TypeExtractor;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.memory.DataInputView;
+import org.apache.flink.core.memory.DataInputViewStreamWrapper;
+import org.apache.flink.core.memory.DataOutputViewStreamWrapper;
+import org.apache.flink.metrics.Counter;
+import org.apache.flink.metrics.Meter;
+import org.apache.flink.metrics.MeterView;
+import org.apache.flink.metrics.MetricGroup;
+import org.apache.flink.metrics.SimpleCounter;
+import org.apache.flink.runtime.state.FunctionInitializationContext;
+import org.apache.flink.runtime.state.FunctionSnapshotContext;
+import org.apache.flink.streaming.api.checkpoint.CheckpointedFunction;
+import org.apache.flink.streaming.api.datastream.DataStreamSource;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.source.ParallelSourceFunction;
+import org.apache.flink.streaming.api.functions.source.RichSourceFunction;
+import org.apache.flink.streaming.api.functions.source.SourceFunction;
+import org.apache.flink.util.Preconditions;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.List;
+
+/**
+ * Provides the default data sets used for the WordCount example program. The 
default data sets are used, if no
+ * parameters are given to the program.
+ */
+public class FromElements {
+
+       @SafeVarargs
+       public static <OUT> DataStreamSource<OUT> 
fromElements(StreamExecutionEnvironment env, Long maxCount, int sleepNum, 
OUT... data) {
+               if (data.length == 0) {
+                       throw new IllegalArgumentException("fromElements needs 
at least one element as argument");
+               }
+               TypeInformation<OUT> typeInfo;
+               try {
+                       typeInfo = TypeExtractor.getForObject(data[0]);
+               } catch (Exception e) {
+                       throw new RuntimeException("Could not create 
TypeInformation for type " + data[0].getClass().getName() + "; please specify 
the TypeInformation manually via 
StreamExecutionEnvironment#fromElements(Collection, TypeInformation)");
+               }
+               Collection<OUT> dataCollection = Arrays.asList(data);
+               FromElementsRichFunction.checkCollection(dataCollection, 
typeInfo.getTypeClass());
+               try {
+                       SourceFunction<OUT> function =
+                               new 
FromElementsRichFunction<>(typeInfo.createSerializer(env.getConfig()),
+                                       maxCount, sleepNum, dataCollection);
+                       return env.addSource(function, "WordsData", typeInfo);
+               } catch (IOException e) {
+                       throw new RuntimeException(e.getMessage(), e);
+               }
+       }
+
+       /**
+        * A stream source function that returns a sequence of elements.
+        *
+        * <p>
+        * Upon construction, this source function serializes the elements 
using Flink's type information. That way, any
+        * object transport using Java serialization will not be affected by 
the serializability of the elements.
+        * </p>
+        * <p>
+        * <b>NOTE:</b> This source has a parallelism of 1.
+        * </p>
+        *
+        * @param <T> The type of elements returned by this function.
+        */
+       public static class FromElementsRichFunction<T> extends 
RichSourceFunction<T>
+               implements ParallelSourceFunction<T>, CheckpointedFunction {
+               private static final long serialVersionUID = 1L;
+               private final TypeSerializer<T> serializer;
+               private final byte[] elementsSerialized;
+               private volatile long numElementsEmitted;
+               private volatile long numElementsToSkip;
+               private long recordCount = 0L;
+               private long maxCount = 0L;
+               private int sleepNum = 0;
+               private transient ListState<Long> operateState;
+               private transient Meter sourceTpsMetrics;
+               private volatile boolean isRunning = true;
+
+               public FromElementsRichFunction(TypeSerializer<T> serializer, 
Long maxCount, int sleepNum, Iterable<T> elements) throws IOException {
+                       ByteArrayOutputStream baos = new 
ByteArrayOutputStream();
+                       DataOutputViewStreamWrapper wrapper = new 
DataOutputViewStreamWrapper(baos);
+                       try {
+                               for (T element : elements) {
+                                       serializer.serialize(element, wrapper);
+                               }
+                       } catch (Exception e) {
+                               throw new IOException("Serializing the source 
elements failed: " + e.getMessage(), e);
+                       }
+                       this.serializer = serializer;
+                       this.elementsSerialized = baos.toByteArray();
+                       this.maxCount = maxCount;
+                       this.sleepNum = sleepNum;
+               }
+
+               @Override
+               public void open(Configuration parameters) throws Exception {
+                       RuntimeContext runtimeContext = getRuntimeContext();
+                       MetricGroup metricGroup = 
runtimeContext.getMetricGroup();
+                       final String sourceTpsName = "tps";
+                       Counter sourceCounter = 
metricGroup.counter(sourceTpsName + "_counter", new SimpleCounter());
+                       sourceTpsMetrics = metricGroup.meter(sourceTpsName, new 
MeterView(sourceCounter, 60));
+               }
+
+               @Override
+               public void close() {}
+
+               @Override
+               public void initializeState(FunctionInitializationContext 
context) throws Exception {
+                       Preconditions.checkState(this.operateState == null,
 
 Review comment:
   Are we testing the behavior of Flink here?

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