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Kafka Connect Field and Time Based Partitioner

Summary

  • Partition initially by custom fields and then by time.

  • It extends TimeBasedPartitioner, so any existing time based partition config should be fine i.e. path.format will be respected.

  • In order to make it work, set "partitioner.class"="com.canelmas.kafka.connect.FieldAndTimeBasedPartitioner" and "partition.field.name"="<comma separated custom fields in your record>" in your connector config.

  • Set partition.field.format.path=false if you don't want to use field labels for partitions names.

    {
        ...
        "s3.bucket.name" : "data", 
        "partition.field.name" : "appId,eventName,country",   
        "partition.field.format.path" : true,
        "path.format": "'year'=YYYY/'month'=MM/'day'=dd",
        ...
    }          

    will produce an output in the following format :

    /data/appId=XXXXX/eventName=YYYYYY/country=ZZ/year=2020/month=11/day=30

Example

KCONNECT_NODES=("localhost:18083" "localhost:28083" "localhost:38083")

for i in "${!KCONNECT_NODES[@]}"; do
    curl ${KCONNECT_NODES[$i]}/connectors -XPOST -H 'Content-type: application/json' -H 'Accept: application/json' -d '{
        "name": "connect-s3-sink-'$i'",
        "config": {     
            "topics": "events",
                "connector.class": "io.confluent.connect.s3.S3SinkConnector",
                "tasks.max" : 10,
                "flush.size": 50,
                "rotate.schedule.interval.ms": 600,
                "rotate.interval.ms": -1,
                "s3.part.size" : 5242880,
                "s3.region" : "us-east-1",
                "s3.bucket.name" : "playground-parquet-ingestion",        
                "topics.dir": "data",
                "storage.class" : "io.confluent.connect.s3.storage.S3Storage",        
                "partitioner.class": "com.canelmas.kafka.connect.FieldAndTimeBasedPartitioner",
                "partition.field.name" : "appId,eventName",
                "partition.duration.ms" : 86400000,
                "path.format": "'year'=YYYY/'month'=MM/'day'=dd",
                "locale" : "US",
                "timezone" : "UTC",        
                "format.class": "io.confluent.connect.s3.format.parquet.ParquetFormat",
                "key.converter": "org.apache.kafka.connect.storage.StringConverter",
                "value.converter": "io.confluent.connect.avro.AvroConverter",
                "value.converter.schema.registry.url": "http://schema-registry:8081",
                "schema.compatibility": "NONE",                
                "timestamp.extractor": "RecordField",
                "timestamp.field" : "clientCreationDate",
                "parquet.codec": "snappy"                            
        }
    }'
done

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Kafka Connect Store Partitioner by custom fields and time

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