Kafka Connect Iceberg sink

A Kafka Connect connector which uses the Iceberg APIs to write data directly into an Iceberg table.

Some supported features include:

• Automatic table creation upon receiving the first event
• Schema evolution
• Support for partitioned and un-partitioned tables
• At-least-once delivery
• Transactional data appends

Example

The following code snippet shows an example of how to create an Iceberg sink connector via curl

# Create a file with the connector configuration
cat << EOF >> connector-config.json
{
  "name": "test-partitioned-table-sink",
  "config": {
    "connector.class": "com.github.tenxfuturetechnologies.kafkaconnecticeberg.sink.IcebergSinkConnector",
    "producer.interceptor.classes": "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor",
    "consumer.interceptor.classes": "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor",
    "topics.regex": "example-topic",
    "errors.log.enable": "true",
    "errors.retry.delay.max.ms": "60000",
    "errors.retry.timeout": "5",
    "format.class": "io.confluent.connect.s3.format.avro.AvroFormat",
    "header.converter": "org.apache.kafka.connect.converters.ByteArrayConverter",
    "key.converter": "org.apache.kafka.connect.converters.ByteArrayConverter",
    "key.converter.schemas.enable": "false",
    "value.converter": "io.confluent.connect.avro.AvroConverter",
    "value.converter.schemas.enable": "true",
    "value.converter.schema.registry.url": "https://schemaregistry.localdomain:8081",
    "key.converter.enhanced.avro.schema.support": true,
    "transforms": "TombstoneHandler",
    "transforms.TombstoneHandler.type": "io.confluent.connect.transforms.TombstoneHandler",
    "transforms.TombstoneHandler.behavior": "warn",

    "table.name": "test_partitioned_table",
    "table.auto-create": true,
    "table.partition.column-name": "event_timestamp",
    "table.partition.transform": "day",
    "timezone": "UTC",
    "flush.size": 1000,
    "iceberg.catalog-impl": "org.apache.iceberg.aws.glue.GlueCatalog",
    "iceberg.warehouse": "s3a://my-bucket/iceberg",
    "iceberg.fs.defaultFS": "s3a://my-bucket/iceberg",
    "iceberg.com.amazonaws.services.s3.enableV4": true,
    "iceberg.com.amazonaws.services.s3a.enableV4": true,
    "iceberg.fs.s3a.aws.credentials.provider": "com.amazonaws.auth.DefaultAWSCredentialsProviderChain",
    "iceberg.fs.s3a.path.style.access": true,
    "iceberg.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem"
  }
}
EOF

# Create the connector
curl -X POST \
     -H "Content-Type: application/json" \
     -d @connector-config.json \
     https://kafkaconnect.localdomain/connectors/

# Check the status of the connector
curl https://kafkaconnect.localdomain/connectors/test-partitioned-table-sink/status | jq

Credits

We thank the developers of kafka-connector-iceberg-sink since this project as served as an inspiration to write this code.

We also thank 10X Banking for letting us open source the code.