use of org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness in project flink by apache.
the class ElasticsearchSinkBaseTest method testBulkFailureRethrownOnInvoke.
/** Tests that any bulk failure in the listener callbacks is rethrown on an immediately following invoke call. */
@Test
public void testBulkFailureRethrownOnInvoke() throws Throwable {
final DummyElasticsearchSink<String> sink = new DummyElasticsearchSink<>(new HashMap<String, String>(), new SimpleSinkFunction<String>(), new NoOpFailureHandler());
final OneInputStreamOperatorTestHarness<String, Object> testHarness = new OneInputStreamOperatorTestHarness<>(new StreamSink<>(sink));
testHarness.open();
// setup the next bulk request, and let the whole bulk request fail
sink.setFailNextBulkRequestCompletely(new Exception("artificial failure for bulk request"));
testHarness.processElement(new StreamRecord<>("msg"));
verify(sink.getMockBulkProcessor(), times(1)).add(any(ActionRequest.class));
// manually execute the next bulk request
sink.manualBulkRequestWithAllPendingRequests();
try {
testHarness.processElement(new StreamRecord<>("next msg"));
} catch (Exception e) {
// the invoke should have failed with the bulk request failure
Assert.assertTrue(e.getCause().getMessage().contains("artificial failure for bulk request"));
// test succeeded
return;
}
Assert.fail();
}
use of org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness in project flink by apache.
the class ElasticsearchSinkBaseTest method testAtLeastOnceSink.
/**
* Tests that the sink correctly waits for pending requests (including re-added requests) on checkpoints;
* we set a timeout because the test will not finish if the logic is broken
*/
@Test(timeout = 5000)
public void testAtLeastOnceSink() throws Throwable {
final DummyElasticsearchSink<String> sink = new DummyElasticsearchSink<>(new HashMap<String, String>(), new SimpleSinkFunction<String>(), // use a failure handler that simply re-adds requests
new DummyRetryFailureHandler());
final OneInputStreamOperatorTestHarness<String, Object> testHarness = new OneInputStreamOperatorTestHarness<>(new StreamSink<>(sink));
testHarness.open();
// setup the next bulk request, and its mock item failures;
// it contains 1 request, which will fail and re-added to the next bulk request
sink.setMockItemFailuresListForNextBulkItemResponses(Collections.singletonList(new Exception("artificial failure for record")));
testHarness.processElement(new StreamRecord<>("msg"));
verify(sink.getMockBulkProcessor(), times(1)).add(any(ActionRequest.class));
CheckedThread snapshotThread = new CheckedThread() {
@Override
public void go() throws Exception {
testHarness.snapshot(1L, 1000L);
}
};
snapshotThread.start();
// the snapshot should eventually be blocked before snapshot triggers flushing
while (snapshotThread.getState() != Thread.State.WAITING) {
Thread.sleep(10);
}
sink.continueFlush();
// we should have flushed again, and eventually be blocked before snapshot triggers the 2nd flush
while (snapshotThread.getState() != Thread.State.WAITING) {
Thread.sleep(10);
}
// current number of pending request should be 1 due to the re-add
Assert.assertEquals(1, sink.getNumPendingRequests());
// this time, let the bulk request succeed, so no-more requests are re-added
sink.setMockItemFailuresListForNextBulkItemResponses(Collections.singletonList((Exception) null));
sink.continueFlush();
// the snapshot should finish with no exceptions
snapshotThread.sync();
testHarness.close();
}
use of org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness in project flink by apache.
the class ContinuousFileProcessingTest method testFileReadingOperatorWithIngestionTime.
@Test
public void testFileReadingOperatorWithIngestionTime() throws Exception {
String testBasePath = hdfsURI + "/" + UUID.randomUUID() + "/";
Set<org.apache.hadoop.fs.Path> filesCreated = new HashSet<>();
Map<Integer, String> expectedFileContents = new HashMap<>();
Map<String, Long> modTimes = new HashMap<>();
for (int i = 0; i < NO_OF_FILES; i++) {
Tuple2<org.apache.hadoop.fs.Path, String> file = createFileAndFillWithData(testBasePath, "file", i, "This is test line.");
filesCreated.add(file.f0);
modTimes.put(file.f0.getName(), hdfs.getFileStatus(file.f0).getModificationTime());
expectedFileContents.put(i, file.f1);
}
TextInputFormat format = new TextInputFormat(new Path(testBasePath));
TypeInformation<String> typeInfo = TypeExtractor.getInputFormatTypes(format);
final long watermarkInterval = 10;
ContinuousFileReaderOperator<String> reader = new ContinuousFileReaderOperator<>(format);
final OneInputStreamOperatorTestHarness<TimestampedFileInputSplit, String> tester = new OneInputStreamOperatorTestHarness<>(reader);
tester.getExecutionConfig().setAutoWatermarkInterval(watermarkInterval);
tester.setTimeCharacteristic(TimeCharacteristic.IngestionTime);
reader.setOutputType(typeInfo, tester.getExecutionConfig());
tester.open();
Assert.assertEquals(TimeCharacteristic.IngestionTime, tester.getTimeCharacteristic());
// test that watermarks are correctly emitted
ConcurrentLinkedQueue<Object> output = tester.getOutput();
tester.setProcessingTime(201);
Assert.assertTrue(output.peek() instanceof Watermark);
Assert.assertEquals(200, ((Watermark) output.poll()).getTimestamp());
tester.setProcessingTime(301);
Assert.assertTrue(output.peek() instanceof Watermark);
Assert.assertEquals(300, ((Watermark) output.poll()).getTimestamp());
tester.setProcessingTime(401);
Assert.assertTrue(output.peek() instanceof Watermark);
Assert.assertEquals(400, ((Watermark) output.poll()).getTimestamp());
tester.setProcessingTime(501);
Assert.assertTrue(output.peek() instanceof Watermark);
Assert.assertEquals(500, ((Watermark) output.poll()).getTimestamp());
Assert.assertTrue(output.isEmpty());
// create the necessary splits for the test
FileInputSplit[] splits = format.createInputSplits(reader.getRuntimeContext().getNumberOfParallelSubtasks());
// and feed them to the operator
Map<Integer, List<String>> actualFileContents = new HashMap<>();
long lastSeenWatermark = Long.MIN_VALUE;
// counter for the lines read from the splits
int lineCounter = 0;
int watermarkCounter = 0;
for (FileInputSplit split : splits) {
// set the next "current processing time".
long nextTimestamp = tester.getProcessingTime() + watermarkInterval;
tester.setProcessingTime(nextTimestamp);
// send the next split to be read and wait until it is fully read, the +1 is for the watermark.
tester.processElement(new StreamRecord<>(new TimestampedFileInputSplit(modTimes.get(split.getPath().getName()), split.getSplitNumber(), split.getPath(), split.getStart(), split.getLength(), split.getHostnames())));
// BUT THIS IS JUST FOR THIS TEST
while (tester.getOutput().isEmpty() || tester.getOutput().size() != (LINES_PER_FILE + 1)) {
Thread.sleep(10);
}
// verify that the results are the expected
for (Object line : tester.getOutput()) {
if (line instanceof StreamRecord) {
@SuppressWarnings("unchecked") StreamRecord<String> element = (StreamRecord<String>) line;
lineCounter++;
Assert.assertEquals(nextTimestamp, element.getTimestamp());
int fileIdx = Character.getNumericValue(element.getValue().charAt(0));
List<String> content = actualFileContents.get(fileIdx);
if (content == null) {
content = new ArrayList<>();
actualFileContents.put(fileIdx, content);
}
content.add(element.getValue() + "\n");
} else if (line instanceof Watermark) {
long watermark = ((Watermark) line).getTimestamp();
Assert.assertEquals(nextTimestamp - (nextTimestamp % watermarkInterval), watermark);
Assert.assertTrue(watermark > lastSeenWatermark);
watermarkCounter++;
lastSeenWatermark = watermark;
} else {
Assert.fail("Unknown element in the list.");
}
}
// clean the output to be ready for the next split
tester.getOutput().clear();
}
// now we are processing one split after the other,
// so all the elements must be here by now.
Assert.assertEquals(NO_OF_FILES * LINES_PER_FILE, lineCounter);
// because we expect one watermark per split.
Assert.assertEquals(splits.length, watermarkCounter);
// then close the reader gracefully so that the Long.MAX watermark is emitted
synchronized (tester.getCheckpointLock()) {
tester.close();
}
for (org.apache.hadoop.fs.Path file : filesCreated) {
hdfs.delete(file, false);
}
// check if the last element is the LongMax watermark (by now this must be the only element)
Assert.assertEquals(1, tester.getOutput().size());
Assert.assertTrue(tester.getOutput().peek() instanceof Watermark);
Assert.assertEquals(Long.MAX_VALUE, ((Watermark) tester.getOutput().poll()).getTimestamp());
// check if the elements are the expected ones.
Assert.assertEquals(expectedFileContents.size(), actualFileContents.size());
for (Integer fileIdx : expectedFileContents.keySet()) {
Assert.assertTrue("file" + fileIdx + " not found", actualFileContents.keySet().contains(fileIdx));
List<String> cntnt = actualFileContents.get(fileIdx);
Collections.sort(cntnt, new Comparator<String>() {
@Override
public int compare(String o1, String o2) {
return getLineNo(o1) - getLineNo(o2);
}
});
StringBuilder cntntStr = new StringBuilder();
for (String line : cntnt) {
cntntStr.append(line);
}
Assert.assertEquals(expectedFileContents.get(fileIdx), cntntStr.toString());
}
}
use of org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness in project flink by apache.
the class ContinuousFileProcessingTest method testReaderSnapshotRestore.
@Test
public void testReaderSnapshotRestore() throws Exception {
String testBasePath = hdfsURI + "/" + UUID.randomUUID() + "/";
TimestampedFileInputSplit split1 = new TimestampedFileInputSplit(0, 3, new Path("test/test1"), 0, 100, null);
TimestampedFileInputSplit split2 = new TimestampedFileInputSplit(10, 2, new Path("test/test2"), 101, 200, null);
TimestampedFileInputSplit split3 = new TimestampedFileInputSplit(10, 1, new Path("test/test2"), 0, 100, null);
TimestampedFileInputSplit split4 = new TimestampedFileInputSplit(11, 0, new Path("test/test3"), 0, 100, null);
final OneShotLatch latch = new OneShotLatch();
BlockingFileInputFormat format = new BlockingFileInputFormat(latch, new Path(testBasePath));
TypeInformation<FileInputSplit> typeInfo = TypeExtractor.getInputFormatTypes(format);
ContinuousFileReaderOperator<FileInputSplit> initReader = new ContinuousFileReaderOperator<>(format);
initReader.setOutputType(typeInfo, new ExecutionConfig());
OneInputStreamOperatorTestHarness<TimestampedFileInputSplit, FileInputSplit> initTestInstance = new OneInputStreamOperatorTestHarness<>(initReader);
initTestInstance.setTimeCharacteristic(TimeCharacteristic.EventTime);
initTestInstance.open();
// create some state in the reader
initTestInstance.processElement(new StreamRecord<>(split1));
initTestInstance.processElement(new StreamRecord<>(split2));
initTestInstance.processElement(new StreamRecord<>(split3));
initTestInstance.processElement(new StreamRecord<>(split4));
// take a snapshot of the operator's state. This will be used
// to initialize another reader and compare the results of the
// two operators.
final OperatorStateHandles snapshot;
synchronized (initTestInstance.getCheckpointLock()) {
snapshot = initTestInstance.snapshot(0L, 0L);
}
ContinuousFileReaderOperator<FileInputSplit> restoredReader = new ContinuousFileReaderOperator<>(new BlockingFileInputFormat(latch, new Path(testBasePath)));
restoredReader.setOutputType(typeInfo, new ExecutionConfig());
OneInputStreamOperatorTestHarness<TimestampedFileInputSplit, FileInputSplit> restoredTestInstance = new OneInputStreamOperatorTestHarness<>(restoredReader);
restoredTestInstance.setTimeCharacteristic(TimeCharacteristic.EventTime);
restoredTestInstance.initializeState(snapshot);
restoredTestInstance.open();
// now let computation start
latch.trigger();
synchronized (initTestInstance.getCheckpointLock()) {
initTestInstance.close();
}
synchronized (restoredTestInstance.getCheckpointLock()) {
restoredTestInstance.close();
}
FileInputSplit fsSplit1 = createSplitFromTimestampedSplit(split1);
FileInputSplit fsSplit2 = createSplitFromTimestampedSplit(split2);
FileInputSplit fsSplit3 = createSplitFromTimestampedSplit(split3);
FileInputSplit fsSplit4 = createSplitFromTimestampedSplit(split4);
// compare if the results contain what they should contain and also if
// they are the same, as they should.
Assert.assertTrue(initTestInstance.getOutput().contains(new StreamRecord<>(fsSplit1)));
Assert.assertTrue(initTestInstance.getOutput().contains(new StreamRecord<>(fsSplit2)));
Assert.assertTrue(initTestInstance.getOutput().contains(new StreamRecord<>(fsSplit3)));
Assert.assertTrue(initTestInstance.getOutput().contains(new StreamRecord<>(fsSplit4)));
Assert.assertArrayEquals(initTestInstance.getOutput().toArray(), restoredTestInstance.getOutput().toArray());
}
use of org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness in project flink by apache.
the class WriteAheadSinkTestBase method testDataDiscardingUponRestore.
@Test
public void testDataDiscardingUponRestore() throws Exception {
S sink = createSink();
OneInputStreamOperatorTestHarness<IN, IN> testHarness = new OneInputStreamOperatorTestHarness<>(sink);
testHarness.open();
int elementCounter = 1;
int snapshotCount = 0;
for (int x = 0; x < 20; x++) {
testHarness.processElement(new StreamRecord<>(generateValue(elementCounter, 0)));
elementCounter++;
}
OperatorStateHandles latestSnapshot = testHarness.snapshot(snapshotCount++, 0);
testHarness.notifyOfCompletedCheckpoint(snapshotCount - 1);
for (int x = 0; x < 20; x++) {
testHarness.processElement(new StreamRecord<>(generateValue(elementCounter, 1)));
elementCounter++;
}
testHarness.close();
sink = createSink();
testHarness = new OneInputStreamOperatorTestHarness<>(sink);
testHarness.setup();
testHarness.initializeState(latestSnapshot);
testHarness.open();
for (int x = 0; x < 20; x++) {
testHarness.processElement(new StreamRecord<>(generateValue(elementCounter, 2)));
elementCounter++;
}
testHarness.snapshot(snapshotCount++, 0);
testHarness.notifyOfCompletedCheckpoint(snapshotCount - 1);
verifyResultsDataDiscardingUponRestore(sink);
}
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