In a pyspark project we have pyspark dataframe.foreachPartition(func) and in that func we have some aiohttp call to transfer data. What type of monitor tools can be used to monitor the metrics like data rate, throughput, time elapsed...? Can we use statsd and graphite or grafana in this case(they're prefered if possible)? Thanks.
can graphite or grafana used to monitor pyspark metrics?
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Here is my solution. I used PySpark's accumulators to collect the metrics(number of http calls, payload sent per call, etc.) at each partitions, at the driver node, assign these accumulators' value to
statsD
gauge
variable, and send these metrics toGraphite
server and eventually visualized them inGrafana
dashboard. It works so far so good.