Hi,
I would like to monitor the pipeline latency measured by timestamp when writing the output to sink - timestamp when ingested from the source. Now I'm able to get the timestamp writing to sink since the sink is implementing a RichSinkFunction and therefore I can report gauge there [1]. But I have no idea on how to get the source ingestion timestamp since I use Flink SQL create table DDL [2] to create a table and use Flink SQL for the logic. I also checked [3] which is not recommended for prod use cases. Any suggestions? Thanks, Fanbin |
Hey Fanbin, I’m not sure if TimeCharacteristic.IngestionTime works with Flink SQL, but if you haven’t tried setting the stream time characteristic to ingestion time it’s worth a shot. Otherwise, one possibility that comes to mind is to use a custom
TimestampAssigner to set the event time to the ingestion time (this could be as simple as just returning System.currentTimeMillis() in extractAscendingTimestamp). Then in your sink you can compare the current processing time to the event’s timestamp and report
the latency. Julian From: Fanbin Bu <[hidden email]> Hi, I would like to monitor the pipeline latency measured by timestamp when writing the output to sink - timestamp when ingested from the source. Now I'm able to get the timestamp writing to sink since the sink is implementing a RichSinkFunction and therefore I can report gauge there [1]. But I have no idea on how to get the source ingestion timestamp since I use Flink SQL create
table DDL [2] to create a table and use Flink SQL for the logic. I also checked [3] which is not recommended for prod use cases. Any suggestions? Thanks, Fanbin |
1) i have to set the time characteristic to event time 2) I use Flink SQL create table DDL: create table a (user_id string, ts timestamp, data string) . so the timestampAssigner is automatically setup using the `ts` field. Still not sure how to get the source ingestion time to metrics system. On Thu, Dec 10, 2020 at 5:48 PM Jaffe, Julian <[hidden email]> wrote:
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