Question

我正在使用Flink 1.4.1和Beam 2.3.0，并且想知道是否可以在Flink WebUI（或任何地方）中提供指标，如Dataflow WebUI中那样？

我使用过像：

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

但是在Flink WebUI中我找不到任何可用的"elements_read"计数（任务指标或累加器）。我认为在BEAM-773之后这将是直截了当的。

Answer 1

在仪表板中选择了一个作业后，您将看到该作业的DAG，而在DAG下方则有一个选项卡列表。

点击＆＃34;任务指标＆＃34;标签
点击DAG的方框
单击“添加度量标准”按钮，以显示该运算符指标

Answer 2

如果您的管道以分离模式运行，则不支持查询度量标准。请参阅this。

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 reporter

查看指标

Answer 3

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 Tab 中看到指标，但在 Metrics Tab 中看不到。

Apache光束计数器/度量标准在Flink WebUI中不可用

3 个答案: