A simple aggregating CSV exporter for Zeebe.
Note: This is a work in progress; you're welcome to contribute code or ideas, but no guarantees are made about the exporter itself. Use at your own risks.
- Download the latest release from GitHub and copy it into the Zeebe
lib
folder - Add the exporter configuration to the
conf/zeebe.cfg.toml
to enable the exporter[[exporters]] id = "csv" className = "io.zeebe.exporter.CsvExporter" [exporters.args] # output path to write csv files output = "csv/"
The exporter writes a file per partition for workflow instances and jobs.
With the exporter configuration shown above and a broker with 3 partitions the following files will be created.
csv/
├── job-0.csv
├── job-1.csv
├── job-2.csv
├── workflow-instance-0.csv
├── workflow-instance-1.csv
└── workflow-instance-2.csv
The content of the files contains a header line with the field names and then a line for every finished entity.
$ head -n10 csv/workflow-instance-0.csv
bpmnElementType,bpmnProcessId,completed,created,duration,elementId,endPosition,ended,flowScopeKey,key,partition,startPosition,version,workflowInstanceKey,workflowKey
START_EVENT,process,true,1551051793053,1,StartEvent_1,4295035184,1551051793054,155,156,0,4295034440,1,155,1
START_EVENT,process,true,1551051793073,1,StartEvent_1,4295038368,1551051793074,160,161,0,4295037624,1,160,1
START_EVENT,process,true,1551051793100,1,StartEvent_1,4295043072,1551051793101,166,167,0,4295042328,1,166,1
SERVICE_TASK,process,true,1551051793056,62,ServiceTask_0kt6c5i,4295046760,1551051793118,155,158,0,4295035704,1,155,1
SERVICE_TASK,process,true,1551051793074,50,ServiceTask_0kt6c5i,4295047024,1551051793124,160,163,0,4295038888,1,160,1
SERVICE_TASK,process,true,1551051793103,44,ServiceTask_0kt6c5i,4295051008,1551051793147,166,169,0,4295043592,1,166,1
END_EVENT,process,true,1551051793141,7,EndEvent_0crvjrk,4295051272,1551051793148,155,174,0,4295048872,1,155,1
END_EVENT,process,true,1551051793141,8,EndEvent_0crvjrk,4295051528,1551051793149,160,175,0,4295049128,1,160,1
PROCESS,process,true,1551051793046,108,process,4295053168,1551051793154,-1,155,0,4295033960,1,155,1
$ head -n10 csv/job-0.csv
bpmnProcessId,completed,created,duration,elementId,elementInstanceKey,endPosition,ended,key,partition,startPosition,type,"workflowDefinitionVersion",workflowInstanceKey,workflowKey
process,true,1551051793061,50,ServiceTask_0kt6c5i,158,4295045384,1551051793111,159,0,4295036576,task,1,155,1
process,true,1551051793075,39,ServiceTask_0kt6c5i,163,4295045728,1551051793114,164,0,4295039760,task,1,160,1
process,true,1551051793103,40,ServiceTask_0kt6c5i,169,4295049384,1551051793143,170,0,4295044464,task,1,166,1
process,true,1551051793174,4,ServiceTask_0kt6c5i,185,4295060624,1551051793178,186,0,4295058872,task,1,181,1
process,true,1551051793210,11,ServiceTask_0kt6c5i,199,4295070088,1551051793221,201,0,4295068512,task,1,196,1
process,true,1551051793320,19,ServiceTask_0kt6c5i,225,4295090616,1551051793339,226,0,4295085864,task,1,222,1
process,true,1551051793276,65,ServiceTask_0kt6c5i,215,4295092312,1551051793341,216,0,4295079496,task,1,212,1
process,true,1551051793301,40,ServiceTask_0kt6c5i,220,4295092920,1551051793341,221,0,4295082680,task,1,217,1
process,true,1551051793248,96,ServiceTask_0kt6c5i,210,4295097112,1551051793344,211,0,4295076312,task,1,207,1
The CSV files can be imported into a spreadsheet, a SQL database or used as input to your favorite command line tool to be further analysed.
See the scripts/average-duration.awk
example how to process the CSV with
AWK to calculate the count, total and average duration per workflow instance
element or job.
awk -f scripts/average-duration.awk samples/workflow-instance-0.csv
Or use a tool like textql
to run SQL queries on-the-fly.
textql -header -pretty -sql 'select elementId, count(duration), sum(duration), avg(duration) from "workflow-instance-0" group by elementId' samples/workflow-instance-0.csv
Get the number of created elements per second grouped by element id
textql -header -pretty -sql 'SELECT elementId, datetime(created/1000, "unixepoch") as timestamp, count() from "workflow-instance-0" GROUP BY elementId, timestamp ORDER BY timestamp' samples/workflow-instance-0.csv
The average number of completed elements per second grouped by element id
textql -header -pretty -sql 'select elementId, avg(c) FROM (SELECT elementId, datetime(ended/1000, "unixepoch") as timestamp, count() as c GROUP BY elementId, timestamp) group by elementId' samples/workflow-instance-0.csv
This project adheres to the Contributor Covenant Code of Conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to [email protected].