Kafka Connect：读取 JSON 序列化的 Kafka 消息，转换为 Parquet 格式并持久化到 S3

Question

I have a requirement to read JSON serialized messages from a Kafka topic, convert them to Parquet and persist in S3.

Background

The official S3-Sink-Connector supports Parquet output format but:

You must use the AvroConverter, ProtobufConverter, or JsonSchemaConverter with ParquetFormat for this connector. Attempting to use the JsonConverter (with or without schemas) results in a NullPointerException and a StackOverflowException.

And JsonSchemaConverter throws out an error if the message was not written using JSON Schema serialization .

Problem Statement

So, I'm looking for a way to read messages from a Kafka topic that were originally written in JSON format, somehow convert them to JSON Schema format and then plug them into the S3 connector that will write to S3 in Parquet format.

Or alternatively , I'm also open to alternative solutions (-that don't involve writing JAVA code-) given the main requirement (take Kafka message, put it in S3 as Parquet files). Thanks!

PS: Changing the way that these Kafka messages are written originally (such as using JSON Schema serialization with Schema Discovery ) unfortunately is not an option for me at this time.

Answer 1

In general, your data is required to have a schema because Parquet needs it (the S3 parquet writer translates to Avro as an intermediate step)

You could look into using this Connect transform that takes in a Schema, and attempts to apply a JSON Schema - see tests . Since this returns a Struct object, then you can try to use JsonSchemaConverter as part of the sink.

But if you are just throwing random JSON data into a single topic without any consistent fields or values, then you'll have a hard time applying any schema