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Apache Beam Counter/Metrics 在 Flink WebUI 中不可用

[英]Apache Beam Counter/Metrics not available in Flink WebUI

我正在使用 Flink 1.4.1 和 Beam 2.3.0,并且想知道是否可以像在 Dataflow WebUI 中那样在 Flink WebUI(或任何地方)中使用指标?

我用过这样的计数器:

import org.apache.beam.sdk.metrics.Counter;
import org.apache.beam.sdk.metrics.Metrics;
...
Counter elementsRead = Metrics.counter(getClass(), "elements_read");
...
elementsRead.inc();

但我在 Flink WebUI 的任何地方(任务指标或累加器)都找不到可用的"elements_read"计数。 我认为这在BEAM-773之后会很简单。

在仪表板中选择作业后,您将看到该作业的 DAG,并且在 DAG 下方有一个选项卡列表。

  1. 单击“任务指标”选项卡
  2. 单击您的 DAG 的一个框
  3. 单击“添加指标”按钮,以显示该操作员指标

显示指标的 Flink 仪表板

如果您的管道在分离模式下运行,则不支持查询指标。 参考这个

public class FlinkDetachedRunnerResult implements PipelineResult {

  FlinkDetachedRunnerResult() {}

  @Override
  public State getState() {
    return State.UNKNOWN;
  }

  @Override
  public MetricResults metrics() {
    throw new UnsupportedOperationException("The FlinkRunner does not currently support metrics.");
  }

  @Override
  public State cancel() throws IOException {
    throw new UnsupportedOperationException("Cancelling is not yet supported.");
  }

  @Override
  public State waitUntilFinish() {
    return State.UNKNOWN;
  }

  @Override
  public State waitUntilFinish(Duration duration) {
    return State.UNKNOWN;
  }

  @Override
  public String toString() {
    return "FlinkDetachedRunnerResult{}";
  }
}

但是,我能够使用 slf4j 记者查看指标

from apache_beam.metrics.metric import Metrics
from apache_beam.metrics.metric import MetricsFilter
from apache_beam.options.pipeline_options import PipelineOptions
import apache_beam as beam
import csv
import logging

GAME_DATA = [
'user1_team1,team1,18,1447686663000,2015-11-16 15:11:03.921',
'user1_team1,team1,18,1447690263000,2015-11-16 16:11:03.921',
'user2_team2,team2,2,1447690263000,2015-11-16 16:11:03.955',
'user3_team3,team3,8,1447690263000,2015-11-16 16:11:03.955',
'user4_team3,team3,5,1447690263000,2015-11-16 16:11:03.959',
'user1_team1,team1,14,1447697463000,2015-11-16 18:11:03.955',
'robot1_team1,team1,9000,1447697463000,2015-11-16 18:11:03.955',
'robot2_team2,team2,1,1447697463000,2015-11-16 20:11:03.955',
'robot2_team2,team2,9000,1447697463000,2015-11-16 21:11:03.955',
'robot1_team1,1000,2447697463000,2915-11-16 21:11:03.955',
'robot2_team2,9000,1447697463000,2015-11-16 21:11:03.955']

class ParseGameEventFn(beam.DoFn):
    def __init__(self):
        super(ParseGameEventFn, self).__init__()
    self.game_events = Metrics.counter(self.__class__, 'game_events')

    def process(self, element, *args, **kwargs):
        try:
            self.game_events.inc()
            row = list(csv.reader([element]))[0]
            if int(row[2]) < 5:
               return
            yield {
                'user': row[0],
                'team': row[1],
                'score': int(row[2]),
                'timestamp': int(row[3]) / 1000.0,
            }
        except Exception as ex:
            logging.error('Parse error on {}: {}'.format(element, ex))

with beam.Pipeline(options=pipeline_options) as pipeline:
    results = (
        pipeline
        | "Create" >> beam.Create(GAME_DATA)
        | "Parsing" >> beam.ParDo(ParseGameEventFn())
        | "AddEventTimestamps" >> beam.Map(
             lambda elem: beam.window.TimestampedValue(elem, elem['timestamp']))
        | "Print" >> beam.Map(print))

metric_results = pipeline.result.metrics().query(MetricsFilter().with_name('game_events'))
outputs_user_counter = metric_results['counters'][0]
print(outputs_user_counter.committed)

conf/flink-conf.yaml 中 Prometheus 的 Flink 配置

metrics.reporters: prom
metrics.reporter.prom.class: org.apache.flink.metrics.prometheus.PrometheusReporter
metrics.reporter.prom.port: 9250-9260

我可以在 Accumulators 选项卡中看到指标,但在 Metrics 选项卡中看不到。我使用的是 Flink 版本:1.12.0.. 使用最新的 Apache Beam Master 分支代码..

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