Abacn commented on code in PR #32402:
URL: https://github.com/apache/beam/pull/32402#discussion_r1872390431
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runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/StreamingDataflowWorker.java:
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@@ -668,6 +669,10 @@ public static void main(String[] args) throws Exception {
enableBigQueryMetrics();
}
+ if (DataflowRunner.hasExperiment(options, "enable_kafka_metrics")) {
+ KafkaSinkMetrics.setSupportKafkaMetrics(true);
Review Comment:
Instead of setting IO flags in worker, one can utilize the
JvmInitializer.runBeforeProcessing mechanism that is introduce a JvmInitializer
implementation in org.apache.beam.sdk.io.kafka to initialize the flags on
worker. This avoids the need of kafka dependency
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