Java TimestampType类代码示例

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test(expected = ConnectException.class)
public void testPutWhenPartitioningOnMessageTimeWhenNoTimestampType() {
  final String topic = "test-topic";

  Map<String, String> properties = propertiesFactory.getProperties();
  properties.put(BigQuerySinkConfig.TOPICS_CONFIG, topic);
  properties.put(BigQuerySinkConfig.DATASETS_CONFIG, ".*=scratch");
  properties.put(BigQuerySinkTaskConfig.BIGQUERY_MESSAGE_TIME_PARTITIONING_CONFIG, "true");

  BigQuery bigQuery = mock(BigQuery.class);
  SinkTaskContext sinkTaskContext = mock(SinkTaskContext.class);
  InsertAllResponse insertAllResponse = mock(InsertAllResponse.class);

  when(bigQuery.insertAll(anyObject())).thenReturn(insertAllResponse);
  when(insertAllResponse.hasErrors()).thenReturn(false);

  BigQuerySinkTask testTask = new BigQuerySinkTask(bigQuery, null);
  testTask.initialize(sinkTaskContext);
  testTask.start(properties);

  testTask.put(Collections.singletonList(spoofSinkRecord(topic, "value", "message text", TimestampType.NO_TIMESTAMP_TYPE, null)));
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
private ByteBuffer createBatch(int batchSize) {
    byte[] value = new byte[messageSize];
    final ByteBuffer buf = ByteBuffer.allocate(
        AbstractRecords.estimateSizeInBytesUpperBound(messageVersion, compressionType, new byte[0], value,
                Record.EMPTY_HEADERS) * batchSize
    );

    final MemoryRecordsBuilder builder =
        MemoryRecords.builder(buf, messageVersion, compressionType, TimestampType.CREATE_TIME, startingOffset);

    for (int i = 0; i < batchSize; ++i) {
        switch (bytes) {
            case ONES:
                Arrays.fill(value, (byte) 1);
                break;
            case RANDOM:
                random.nextBytes(value);
                break;
        }

        builder.append(0, null, value);
    }
    return builder.build().buffer();
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testMissingTimestampPropagation() throws Exception {
    expectInitializeTask();
    expectConsumerPoll(1, RecordBatch.NO_TIMESTAMP, TimestampType.CREATE_TIME);
    expectConversionAndTransformation(1);

    Capture<Collection<SinkRecord>> records = EasyMock.newCapture(CaptureType.ALL);

    sinkTask.put(EasyMock.capture(records));

    PowerMock.replayAll();

    workerTask.initialize(TASK_CONFIG);
    workerTask.initializeAndStart();
    workerTask.iteration();

    SinkRecord record = records.getValue().iterator().next();

    // we expect null for missing timestamp, the sentinel value of Record.NO_TIMESTAMP is Kafka's API
    assertEquals(null, record.timestamp());
    assertEquals(TimestampType.CREATE_TIME, record.timestampType());

    PowerMock.verifyAll();
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testTimestampPropagation() throws Exception {
    final Long timestamp = System.currentTimeMillis();
    final TimestampType timestampType = TimestampType.CREATE_TIME;

    expectInitializeTask();
    expectConsumerPoll(1, timestamp, timestampType);
    expectConversionAndTransformation(1);

    Capture<Collection<SinkRecord>> records = EasyMock.newCapture(CaptureType.ALL);

    sinkTask.put(EasyMock.capture(records));

    PowerMock.replayAll();

    workerTask.initialize(TASK_CONFIG);
    workerTask.initializeAndStart();
    workerTask.iteration();

    SinkRecord record = records.getValue().iterator().next();

    assertEquals(timestamp, record.timestamp());
    assertEquals(timestampType, record.timestampType());

    PowerMock.verifyAll();
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
private void expectConsumerPoll(final int numMessages, final long timestamp, final TimestampType timestampType) {
    EasyMock.expect(consumer.poll(EasyMock.anyLong())).andAnswer(
            new IAnswer<ConsumerRecords<byte[], byte[]>>() {
                @Override
                public ConsumerRecords<byte[], byte[]> answer() throws Throwable {
                    List<ConsumerRecord<byte[], byte[]>> records = new ArrayList<>();
                    for (int i = 0; i < numMessages; i++)
                        records.add(new ConsumerRecord<>(TOPIC, PARTITION, FIRST_OFFSET + recordsReturned + i, timestamp, timestampType, 0L, 0, 0, RAW_KEY, RAW_VALUE));
                    recordsReturned += numMessages;
                    return new ConsumerRecords<>(
                            numMessages > 0 ?
                                    Collections.singletonMap(new TopicPartition(TOPIC, PARTITION), records) :
                                    Collections.<TopicPartition, List<ConsumerRecord<byte[], byte[]>>>emptyMap()
                    );
                }
            });
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testReloadOnStart() throws Exception {
    expectConfigure();
    expectStart(Arrays.asList(
            new ConsumerRecord<>(TOPIC, 0, 0, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, TP0_KEY.array(), TP0_VALUE.array()),
            new ConsumerRecord<>(TOPIC, 1, 0, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, TP1_KEY.array(), TP1_VALUE.array()),
            new ConsumerRecord<>(TOPIC, 0, 1, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, TP0_KEY.array(), TP0_VALUE_NEW.array()),
            new ConsumerRecord<>(TOPIC, 1, 1, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, TP1_KEY.array(), TP1_VALUE_NEW.array())
    ));
    expectStop();

    PowerMock.replayAll();

    store.configure(DEFAULT_DISTRIBUTED_CONFIG);
    store.start();
    HashMap<ByteBuffer, ByteBuffer> data = Whitebox.getInternalState(store, "data");
    assertEquals(TP0_VALUE_NEW, data.get(TP0_KEY));
    assertEquals(TP1_VALUE_NEW, data.get(TP1_KEY));

    store.stop();

    PowerMock.verifyAll();
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
void testExtractMetadataTimestamp(TimestampExtractor extractor) {
    final long metadataTimestamp = 42;

    final long timestamp = extractor.extract(
        new ConsumerRecord<>(
            "anyTopic",
            0,
            0,
            metadataTimestamp,
            TimestampType.NO_TIMESTAMP_TYPE,
            0,
            0,
            0,
            null,
            null),
        0
    );

    assertThat(timestamp, is(metadataTimestamp));
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void logAndSkipOnInvalidTimestamp() {
    final long invalidMetadataTimestamp = -42;

    final TimestampExtractor extractor = new LogAndSkipOnInvalidTimestamp();
    final long timestamp = extractor.extract(
        new ConsumerRecord<>(
            "anyTopic",
            0,
            0,
            invalidMetadataTimestamp,
            TimestampType.NO_TIMESTAMP_TYPE,
            0,
            0,
            0,
            null,
            null),
        0
    );

    assertThat(timestamp, is(invalidMetadataTimestamp));
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
/**
 * Creates a record to be received from a specified topic and partition
 *
 * @param topic The topic this record is received from
 * @param partition The partition of the topic this record is received from
 * @param offset The offset of this record in the corresponding Kafka partition
 * @param timestamp The timestamp of the record.
 * @param timestampType The timestamp type
 * @param checksum The checksum (CRC32) of the full record
 * @param serializedKeySize The length of the serialized key
 * @param serializedValueSize The length of the serialized value
 * @param key The key of the record, if one exists (null is allowed)
 * @param value The record contents
 * @param headers The headers of the record.
 */
public ConsumerRecord(String topic,
                      int partition,
                      long offset,
                      long timestamp,
                      TimestampType timestampType,
                      Long checksum,
                      int serializedKeySize,
                      int serializedValueSize,
                      K key,
                      V value,
                      Headers headers) {
    if (topic == null)
        throw new IllegalArgumentException("Topic cannot be null");
    this.topic = topic;
    this.partition = partition;
    this.offset = offset;
    this.timestamp = timestamp;
    this.timestampType = timestampType;
    this.checksum = checksum;
    this.serializedKeySize = serializedKeySize;
    this.serializedValueSize = serializedValueSize;
    this.key = key;
    this.value = value;
    this.headers = headers;
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testAppendedChecksumMagicV0AndV1() {
    for (byte magic : Arrays.asList(MAGIC_VALUE_V0, MAGIC_VALUE_V1)) {
        MemoryRecordsBuilder builder = MemoryRecords.builder(ByteBuffer.allocate(128), magic,
                CompressionType.NONE, TimestampType.CREATE_TIME, 0L);
        ProducerBatch batch = new ProducerBatch(new TopicPartition("topic", 1), builder, now);
        byte[] key = "hi".getBytes();
        byte[] value = "there".getBytes();

        FutureRecordMetadata future = batch.tryAppend(now, key, value, Record.EMPTY_HEADERS, null, now);
        assertNotNull(future);
        byte attributes = LegacyRecord.computeAttributes(magic, CompressionType.NONE, TimestampType.CREATE_TIME);
        long expectedChecksum = LegacyRecord.computeChecksum(magic, attributes, now, key, value);
        assertEquals(expectedChecksum, future.checksumOrNull().longValue());
    }
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testSimpleMock() {
    consumer.subscribe(Arrays.asList("test"), new NoOpConsumerRebalanceListener());
    assertEquals(0, consumer.poll(1000).count());
    consumer.rebalance(Arrays.asList(new TopicPartition("test", 0), new TopicPartition("test", 1)));
    // Mock consumers need to seek manually since they cannot automatically reset offsets
    HashMap<TopicPartition, Long> beginningOffsets = new HashMap<>();
    beginningOffsets.put(new TopicPartition("test", 0), 0L);
    beginningOffsets.put(new TopicPartition("test", 1), 0L);
    consumer.updateBeginningOffsets(beginningOffsets);
    consumer.seek(new TopicPartition("test", 0), 0);
    ConsumerRecord<String, String> rec1 = new ConsumerRecord<String, String>("test", 0, 0, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, "key1", "value1");
    ConsumerRecord<String, String> rec2 = new ConsumerRecord<String, String>("test", 0, 1, 0L, TimestampType.CREATE_TIME, 0L, 0, 0, "key2", "value2");
    consumer.addRecord(rec1);
    consumer.addRecord(rec2);
    ConsumerRecords<String, String> recs = consumer.poll(1);
    Iterator<ConsumerRecord<String, String>> iter = recs.iterator();
    assertEquals(rec1, iter.next());
    assertEquals(rec2, iter.next());
    assertFalse(iter.hasNext());
    assertEquals(2L, consumer.position(new TopicPartition("test", 0)));
    consumer.commitSync();
    assertEquals(2L, consumer.committed(new TopicPartition("test", 0)).offset());
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Before
public void setup() throws Exception {
    metadata.update(cluster, Collections.<String>emptySet(), time.milliseconds());
    client.setNode(node);

    MemoryRecordsBuilder builder = MemoryRecords.builder(ByteBuffer.allocate(1024), CompressionType.NONE, TimestampType.CREATE_TIME, 1L);
    builder.append(0L, "key".getBytes(), "value-1".getBytes());
    builder.append(0L, "key".getBytes(), "value-2".getBytes());
    builder.append(0L, "key".getBytes(), "value-3".getBytes());
    records = builder.build();

    builder = MemoryRecords.builder(ByteBuffer.allocate(1024), CompressionType.NONE, TimestampType.CREATE_TIME, 4L);
    builder.append(0L, "key".getBytes(), "value-4".getBytes());
    builder.append(0L, "key".getBytes(), "value-5".getBytes());
    nextRecords = builder.build();
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testFetchResponseMetrics() {
    subscriptions.assignFromUser(singleton(tp1));
    subscriptions.seek(tp1, 0);

    Map<MetricName, KafkaMetric> allMetrics = metrics.metrics();
    KafkaMetric fetchSizeAverage = allMetrics.get(metrics.metricInstance(metricsRegistry.fetchSizeAvg));
    KafkaMetric recordsCountAverage = allMetrics.get(metrics.metricInstance(metricsRegistry.recordsPerRequestAvg));

    MemoryRecordsBuilder builder = MemoryRecords.builder(ByteBuffer.allocate(1024), CompressionType.NONE,
            TimestampType.CREATE_TIME, 0L);
    for (int v = 0; v < 3; v++)
        builder.appendWithOffset(v, RecordBatch.NO_TIMESTAMP, "key".getBytes(), ("value-" + v).getBytes());
    MemoryRecords records = builder.build();

    int expectedBytes = 0;
    for (Record record : records.records())
        expectedBytes += record.sizeInBytes();

    fetchRecords(tp1, records, Errors.NONE, 100L, 0);
    assertEquals(expectedBytes, fetchSizeAverage.value(), EPSILON);
    assertEquals(3, recordsCountAverage.value(), EPSILON);
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
public void testFetchResponseMetricsPartialResponse() {
    subscriptions.assignFromUser(singleton(tp1));
    subscriptions.seek(tp1, 1);

    Map<MetricName, KafkaMetric> allMetrics = metrics.metrics();
    KafkaMetric fetchSizeAverage = allMetrics.get(metrics.metricInstance(metricsRegistry.fetchSizeAvg));
    KafkaMetric recordsCountAverage = allMetrics.get(metrics.metricInstance(metricsRegistry.recordsPerRequestAvg));

    MemoryRecordsBuilder builder = MemoryRecords.builder(ByteBuffer.allocate(1024), CompressionType.NONE,
            TimestampType.CREATE_TIME, 0L);
    for (int v = 0; v < 3; v++)
        builder.appendWithOffset(v, RecordBatch.NO_TIMESTAMP, "key".getBytes(), ("value-" + v).getBytes());
    MemoryRecords records = builder.build();

    int expectedBytes = 0;
    for (Record record : records.records()) {
        if (record.offset() >= 1)
            expectedBytes += record.sizeInBytes();
    }

    fetchRecords(tp1, records, Errors.NONE, 100L, 0);
    assertEquals(expectedBytes, fetchSizeAverage.value(), EPSILON);
    assertEquals(2, recordsCountAverage.value(), EPSILON);
}
 

import org.apache.kafka.common.record.TimestampType; //导入依赖的package包/类
@Test
@SuppressWarnings("deprecation")
public void testOldConstructor() {
    String topic = "topic";
    int partition = 0;
    long offset = 23;
    String key = "key";
    String value = "value";

    ConsumerRecord<String, String> record = new ConsumerRecord<>(topic, partition, offset, key, value);
    assertEquals(topic, record.topic());
    assertEquals(partition, record.partition());
    assertEquals(offset, record.offset());
    assertEquals(key, record.key());
    assertEquals(value, record.value());
    assertEquals(TimestampType.NO_TIMESTAMP_TYPE, record.timestampType());
    assertEquals(ConsumerRecord.NO_TIMESTAMP, record.timestamp());
    assertEquals(ConsumerRecord.NULL_CHECKSUM, record.checksum());
    assertEquals(ConsumerRecord.NULL_SIZE, record.serializedKeySize());
    assertEquals(ConsumerRecord.NULL_SIZE, record.serializedValueSize());
    assertEquals(new RecordHeaders(), record.headers());
}