聊聊flink的AscendingTimestampExtractor

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本文主要研究一下flink的AscendingTimestampExtractor

AscendingTimestampExtractor

flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java

/**
 * A timestamp assigner and watermark generator for streams where timestamps are monotonously
 * ascending. In this case, the local watermarks for the streams are easy to generate, because
 * they strictly follow the timestamps.
 *
 * @param <T> The type of the elements that this function can extract timestamps from
 */
@PublicEvolving
public abstract class AscendingTimestampExtractor<T> implements AssignerWithPeriodicWatermarks<T> {

    private static final long serialVersionUID = 1L;

    /** The current timestamp. */
    private long currentTimestamp = Long.MIN_VALUE;

    /** Handler that is called when timestamp monotony is violated. */
    private MonotonyViolationHandler violationHandler = new LoggingHandler();


    /**
     * Extracts the timestamp from the given element. The timestamp must be monotonically increasing.
     *
     * @param element The element that the timestamp is extracted from.
     * @return The new timestamp.
     */
    public abstract long extractAscendingTimestamp(T element);

    /**
     * Sets the handler for violations to the ascending timestamp order.
     *
     * @param handler The violation handler to use.
     * @return This extractor.
     */
    public AscendingTimestampExtractor<T> withViolationHandler(MonotonyViolationHandler handler) {
        this.violationHandler = requireNonNull(handler);
        return this;
    }

    // ------------------------------------------------------------------------

    @Override
    public final long extractTimestamp(T element, long elementPrevTimestamp) {
        final long newTimestamp = extractAscendingTimestamp(element);
        if (newTimestamp >= this.currentTimestamp) {
            this.currentTimestamp = newTimestamp;
            return newTimestamp;
        } else {
            violationHandler.handleViolation(newTimestamp, this.currentTimestamp);
            return newTimestamp;
        }
    }

    @Override
    public final Watermark getCurrentWatermark() {
        return new Watermark(currentTimestamp == Long.MIN_VALUE ? Long.MIN_VALUE : currentTimestamp - 1);
    }

    //......
}
  • AscendingTimestampExtractor抽象类实现AssignerWithPeriodicWatermarks接口的extractTimestamp及getCurrentWatermark方法,同时声明抽象方法extractAscendingTimestamp供子类实现
  • AscendingTimestampExtractor适用于elements的时间在每个parallel task里头是单调递增(timestamp monotony)的场景,extractTimestamp这里先是调用子类实现的extractAscendingTimestamp方法从element提取newTimestamp,然后返回,对于违反timestamp monotony的,这里调用MonotonyViolationHandler进行处理
  • getCurrentWatermark方法在currentTimestamp不为Long.MIN_VALUE时返回Watermark(currentTimestamp - 1)

MonotonyViolationHandler

flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java

    /**
     * Interface for handlers that handle violations of the monotonous ascending timestamps
     * property.
     */
    public interface MonotonyViolationHandler extends java.io.Serializable {

        /**
         * Called when the property of monotonously ascending timestamps is violated, i.e.,
         * when {@code elementTimestamp < lastTimestamp}.
         *
         * @param elementTimestamp The timestamp of the current element.
         * @param lastTimestamp The last timestamp.
         */
        void handleViolation(long elementTimestamp, long lastTimestamp);
    }

    /**
     * Handler that does nothing when timestamp monotony is violated.
     */
    public static final class IgnoringHandler implements MonotonyViolationHandler {
        private static final long serialVersionUID = 1L;

        @Override
        public void handleViolation(long elementTimestamp, long lastTimestamp) {}
    }

    /**
     * Handler that fails the program when timestamp monotony is violated.
     */
    public static final class FailingHandler implements MonotonyViolationHandler {
        private static final long serialVersionUID = 1L;

        @Override
        public void handleViolation(long elementTimestamp, long lastTimestamp) {
            throw new RuntimeException("Ascending timestamps condition violated. Element timestamp "
                    + elementTimestamp + " is smaller than last timestamp " + lastTimestamp);
        }
    }

    /**
     * Handler that only logs violations of timestamp monotony, on WARN log level.
     */
    public static final class LoggingHandler implements MonotonyViolationHandler {
        private static final long serialVersionUID = 1L;

        private static final Logger LOG = LoggerFactory.getLogger(AscendingTimestampExtractor.class);

        @Override
        public void handleViolation(long elementTimestamp, long lastTimestamp) {
            LOG.warn("Timestamp monotony violated: {} < {}", elementTimestamp, lastTimestamp);
        }
    }
  • MonotonyViolationHandler继承了Serializable,它定义了handleViolation方法,这个接口内置有三个实现类,分别是IgnoringHandler、FailingHandler、FailingHandler
  • IgnoringHandler的handleViolation方法不做任何处理;FailingHandler的handleViolation会抛出RuntimeException;LoggingHandler的handleViolation方法会打印warn日志
  • AscendingTimestampExtractor默认使用的是LoggingHandler,也可以通过withViolationHandler方法来进行设置

实例

    @Test
    public void testWithFailingHandler() {
        AscendingTimestampExtractor<Long> extractor = (new AscendingTimestampExtractorTest.LongExtractor()).withViolationHandler(new FailingHandler());
        this.runValidTests(extractor);

        try {
            this.runInvalidTest(extractor);
            Assert.fail("should fail with an exception");
        } catch (Exception var3) {
            ;
        }

    }

    private void runValidTests(AscendingTimestampExtractor<Long> extractor) {
        Assert.assertEquals(13L, extractor.extractTimestamp(13L, -1L));
        Assert.assertEquals(13L, extractor.extractTimestamp(13L, 0L));
        Assert.assertEquals(14L, extractor.extractTimestamp(14L, 0L));
        Assert.assertEquals(20L, extractor.extractTimestamp(20L, 0L));
        Assert.assertEquals(20L, extractor.extractTimestamp(20L, 0L));
        Assert.assertEquals(20L, extractor.extractTimestamp(20L, 0L));
        Assert.assertEquals(500L, extractor.extractTimestamp(500L, 0L));
        Assert.assertEquals(9223372036854775806L, extractor.extractTimestamp(9223372036854775806L, 99999L));
    }

    private void runInvalidTest(AscendingTimestampExtractor<Long> extractor) {
        Assert.assertEquals(1000L, extractor.extractTimestamp(1000L, 100L));
        Assert.assertEquals(1000L, extractor.extractTimestamp(1000L, 100L));
        Assert.assertEquals(999L, extractor.extractTimestamp(999L, 100L));
    }

    private static class LongExtractor extends AscendingTimestampExtractor<Long> {
        private static final long serialVersionUID = 1L;

        private LongExtractor() {
        }

        public long extractAscendingTimestamp(Long element) {
            return element;
        }
    }
  • 这里使用withViolationHandler设置了violationHandler为FailingHandler,在遇到999这个时间的时候,由于比之前的1000小,因而会调用MonotonyViolationHandler.handleViolation方法

小结

  • flink为了方便开发提供了几个内置的Pre-defined Timestamp Extractors / Watermark Emitters,其中一个就是AscendingTimestampExtractor
  • AscendingTimestampExtractor抽象类实现AssignerWithPeriodicWatermarks接口的extractTimestamp及getCurrentWatermark方法,同时声明抽象方法extractAscendingTimestamp供子类实现
  • AscendingTimestampExtractor适用于elements的时间在每个parallel task里头是单调递增的,对于违反timestamp monotony的,这里调用MonotonyViolationHandler的handleViolation方法进行处理;MonotonyViolationHandler继承了Serializable,它定义了handleViolation方法,这个接口内置有三个实现类,分别是IgnoringHandler、FailingHandler、FailingHandler

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