Transform and converter chains in Kafka - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a transform chain in Kafka Connect?

A transform chain is a sequence of transformations applied to Kafka Connect records before they are sent to the sink or after they are received from the source. Each transform modifies the record in some way, like changing fields or filtering data.

beginner

What is the purpose of a converter in Kafka Connect?

A converter changes the format of data between Kafka Connect and Kafka topics. For example, it can convert data from JSON to Avro or vice versa, so that Kafka Connect can understand and process the data correctly.

intermediate

How do you chain multiple transforms in Kafka Connect?

You list multiple transforms in the connector configuration using the 'transforms' property with comma-separated names. Then, you define each transform's type and settings separately. Kafka Connect applies them in the order listed.

intermediate

What happens if a transform in the chain fails during processing?

If a transform fails, the entire record processing can fail, causing the connector to retry or skip the record depending on error handling settings. Proper error handling and testing of transforms are important to avoid data loss.

beginner

Can converters be chained like transforms in Kafka Connect?

No, converters are not chained. Each connector uses one key converter and one value converter to handle data serialization and deserialization. Transform chains are separate and happen after conversion.

What is the main role of a transform in Kafka Connect?

A Convert data format between Kafka and Connect

B Store data in Kafka topics

C Modify records before sending or after receiving

D Manage Kafka cluster nodes

Transforms modify records by changing fields, filtering, or adding data before sending to sink or after receiving from source.

How do you specify multiple transforms in a Kafka Connect connector?

A Chain them in the Kafka broker config

B List them comma-separated in the 'transforms' property

C Use multiple 'converter' properties

D Transforms cannot be combined

Multiple transforms are listed comma-separated in the 'transforms' property in connector configuration.

Which of these is true about converters in Kafka Connect?

A Only one key and one value converter are used per connector

B Converters can be chained like transforms

C Converters modify record fields

D Converters handle error retries

Each connector uses one key converter and one value converter to serialize and deserialize data.

What happens if a transform in the chain throws an error?

A The error is ignored and processing continues

B Kafka Connect automatically skips the transform

C The connector shuts down immediately

D Record processing may fail or retry depending on settings

Transform errors can cause record processing failure; behavior depends on error handling configuration.

When are transforms applied in Kafka Connect processing?

A After conversion and before sending to sink or after receiving from source

B Before conversion

C Only on the Kafka broker side

D Transforms are not applied in Kafka Connect

Transforms are applied after converters deserialize data from Kafka or before converters serialize data to Kafka.

Explain how transform chains work in Kafka Connect and why they are useful.

Think about how you might change data step-by-step before sending it somewhere.

Describe the difference between converters and transforms in Kafka Connect.

One changes the data shape, the other changes the data content.