A collection of Kafka Connect plugins.
Converts a byte record using the given converter class. The MirrorMaker connector uses byte array records. To apply other SMTs to these records, we need to convert them to the appropriate format first.
Use the concrete transformation type designed for the record key (com.bakdata.kafka.Convert$Key
)
or value (com.bakdata.kafka.Convert$Value
).
This configuration snippet shows how to use Convert
.
It converts the value to a string schema.
"transforms": "convert",
"transforms.convert.type": "com.bakdata.kafka.Convert$Value",
"transforms.convert.converter": "org.apache.kafka.connect.storage.StringConverter"
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
converter |
Converter to apply to input. | class | ByteArrayConverter.class |
All classes that implement the Kafka Converter interface | high |
Drop any (nested) field for a given path.
Use the concrete transformation type designed for the record key (com.bakdata.kafka.DropField$Key
)
or value (com.bakdata.kafka.DropField$Value
).
This example shows how to configure and use DropField
.
Imagine you have the following record value:
{
"collections": [
{
"complex_field": {
"dropped_field": "This field will be dropped.",
"kept_field": 1234
},
"boolean_field": true
},
{
"complex_field": {
"dropped_field": "This field will also be dropped.",
"kept_field": 5678
},
"boolean_field": false
}
],
"primitive_field": 9876
}
This configuration snippet shows how to use DropField
to exclude the field dropped_field
.
"transforms": "dropfield",
"transforms.dropfield.type": "com.bakdata.kafka.DropField$Value",
"transforms.dropfield.exclude": "collections.complex_field.dropped_field"
The value would transform into this:
{
"collections": [
{
"complex_field": {
"kept_field": 1234
},
"boolean_field": true
},
{
"complex_field": {
"kept_field": 5678
},
"boolean_field": false
}
],
"primitive_field": 9876
}
Name | Description | Type | Default | Valid Values | Importance |
---|---|---|---|---|---|
exclude |
Path to field to exclude from the resulting Struct. | string |
- | The path is separated by "." character. Example: a.b.c . |
high |
If you are using Docker to run Kafka Connect, you can install the SMT by adding the JAR file to your Kafka Connect image. For example:
FROM confluentinc/cp-kafka-connect:latest
# Install your source/sink connector(s)
# ...
ENV CONNECT_PLUGIN_PATH="/connect-plugins,/usr/share/java"
# Clone the repo and build the project first.
# Or download the JAR file from Sonatype.
COPY ./build/libs/*.jar /connect-plugins/kafka-connect-transformations/
If you want to contribute to this project, you can simply clone the repository and build it via Gradle. All dependencies should be included in the Gradle files, there are no external prerequisites.
> git clone [email protected]:bakdata/kafka-connect-plugins.git
> cd kafka-connect-plugins && ./gradlew build
Please note, that we have code styles for Java. They are basically the Google style guide, with some small modifications.
We are happy if you want to contribute to this project. If you find any bugs or have suggestions for improvements, please open an issue. We are also happy to accept your PRs. Just open an issue beforehand and let us know what you want to do and why.
This project is licensed under the MIT license. Have a look at the LICENSE for more details.