zentol commented on code in PR #21416:
URL: https://github.com/apache/flink/pull/21416#discussion_r1035881699


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flink-connectors/flink-connector-datagen/src/test/java/org/apache/flink/connector/datagen/source/DataGeneratorSourceITCase.java:
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@@ -195,40 +195,31 @@ void testGatedRateLimiter() throws Exception {
 
         final DataStreamSource<Long> streamSource =
                 env.fromSource(generatorSource, 
WatermarkStrategy.noWatermarks(), "Data Generator");
-        final DataStream<Tuple2<Integer, Long>> map =
-                streamSource.map(new SubtaskAndCheckpointMapper());
-        final List<Tuple2<Integer, Long>> results = 
map.executeAndCollect(1000);
-
-        final Map<Tuple2<Integer, Long>, Integer> collect =
-                results.stream()
-                        .collect(
-                                Collectors.groupingBy(
-                                        x -> (new Tuple2<>(x.f0, x.f1)), 
summingInt(x -> 1)));
-        for (Map.Entry<Tuple2<Integer, Long>, Integer> entry : 
collect.entrySet()) {
-            assertThat(entry.getValue()).isEqualTo(capacityPerSubtaskPerCycle);
-        }
+        final DataStream<Long> map = streamSource.flatMap(new 
FirstCheckpointFilter());
+        final List<Long> results = map.executeAndCollect(1000);
+
+        assertThat(results).hasSize(capacityPerCycle);
     }
 
-    private static class SubtaskAndCheckpointMapper
-            extends RichMapFunction<Long, Tuple2<Integer, Long>> implements 
CheckpointListener {
+    private static class FirstCheckpointFilter
+            implements FlatMapFunction<Long, Long>, CheckpointedFunction {
 
-        private long checkpointId = 0;
-        private int subtaskIndex;
+        private volatile boolean firstCheckpoint = true;
 
         @Override
-        public void open(Configuration parameters) {
-            subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
+        public void flatMap(Long value, Collector<Long> out) throws Exception {
+            if (firstCheckpoint) {
+                out.collect(value);
+            }
         }
 
         @Override
-        public Tuple2<Integer, Long> map(Long value) {
-            return new Tuple2<>(subtaskIndex, checkpointId);
+        public void snapshotState(FunctionSnapshotContext context) throws 
Exception {

Review Comment:
   What we want to happen is that at most X records are emitted per checkpoint.
   `emit|emit|snapshot|emit|emit|snapshot`
   
   In the ideal world, this happens:
   `emit|emit|snapshot|notify|emit|emit|...`
   
   But since `notifyCheckpointComplete` can arrive at arbitrary times, or not 
at all, there are some edge-cases.
   We may not emit anything for one checkpoint if the rpc is lost:
   `emit|emit|snapshot|snapshot|notify|emit|emit|...`
   We may emit more records per checkpoint if the rpc is late:
   `emit|emit|snapshot|snapshot|notify|emit|notify|emit|emit|...`



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