Overview

This page describes an overview of the Lenses SMTs for Kafka Connect.

Releases · lensesio/kafka-connect-smtGitHub

SMT Releases

Lenses provides several SMTs designed for use with Stream Reactor connectors, you can also use them with other connectors or your own.

These SMTs are designed to be used with the Kafka Connect framework. The SMTs create record headers. The advantage of using headers is that they reduce the memory and CPU cycles required to change the payload. See for example the Kafka Connect TimestampConverter. Furthermore, they support Stream-Reactor S3 sink partitioners, for scenarios like:

• Partitioning by the system clock (e.g. using the system clock as a partition key with a yyyy-MM-dd-HH format)

• Partitioning by a rolling window (e.g. every 15 minutes, or one hour)

• Partitioning by a custom timestamp (e.g. a timestamp field in the payload, record Key or Value)

• Partitioning by a custom timestamp with a rolling window (e.g. a timestamp field in the payload, every 15 minutes, or one hour)

Installation

SMT installation on Lenses platform

Add the plugin to the worker classloader isolation via the plugin.path option:

plugin.path=/usr/share/connectors,/opt/smt

SMT installation on MSK connect

For MSK connect you need to bundle your SMT with the connector you need to use and deploy as one plugin.

To do so, download your connector to get the jar (unzip if needed), download the SMT (unzip it). Put both jar in the same folder, and zip them altogether.

This zip (containing both jars at the same level) must be uploaded as a plugin in MSK connect.