![]() ![]() Level=debug ts=T15:26:54.637Z caller=listener.go:69 msg="Incoming line" proto=udp line=airflow.dag_processing.processes:-1|c ![]() Level=debug ts=T15:26:54.546Z caller=listener.go:69 msg="Incoming line" proto=udp line=airflow.scheduler_heartbeat:1|c Level=debug ts=T15:26:54.535Z caller=listener.go:69 msg="Incoming line" proto=udp line=airflow.dag_processing.processes:1|c ![]() Level=debug ts=T15:26:54.535Z caller=listener.go:69 msg="Incoming line" proto=udp line=_tasks:0|g Level=debug ts=T15:26:54.535Z caller=listener.go:69 msg="Incoming line" proto=udp line=_slots:32|g Level=debug ts=T15:26:52.684Z caller=exporter.go:114 msg="counter must be non-negative value" metric=airflow_dag_processing_processes event_value=-1 Level=debug ts=T15:26:52.637Z caller=listener.go:69 msg="Incoming line" proto=udp line=airflow.dag_processing.processes:-1|c Level=debug ts=T15:26:52.534Z caller=listener.go:69 msg="Incoming line" proto=udp line=airflow.dag_processing.processes:1|c Level=debug ts=T15:26:52.534Z caller=listener.go:69 msg="Incoming line" proto=udp line=_tasks:0|g Level=debug ts=T15:26:52.534Z caller=listener.go:69 msg="Incoming line" proto=udp line=_slots:32|g Level=info ts=T15:26:51.283Z caller=main.go:305 msg="Accepting Prometheus Requests" addr=:9102 Level=info ts=T15:26:51.283Z caller=main.go:304 msg="Accepting StatsD Traffic" udp=localhost:8125 tcp=:9125 unixgram= Level=info ts=T15:26:51.283Z caller=main.go:302 msg="Starting StatsD -> Prometheus Exporter" version="(version=, branch=, revision=)" $ statsd_exporter -statsd.listen-udp localhost:8125 -log.level debug First, create a Python virtual environment where Airflow will be installed:ġ 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 In this tutorial, I am using Python 3 and Apache Airflow version 1.10.12. Follow me to the next section, where we are going to start by installing Apache Airflow.
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