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@@ -57,7 +57,7 @@ You can create a Docker image packaged with the locally built source by running:
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make build-docker-from-local
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```
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-
This will build the connector from source and create a local image with an aggregate version number. The aggregate version number is the kafka-connect-datagen connector version number and the Confluent Platform version number separated with a `-`. The local kafka-connect-datagen version number is defined in the `pom.xml` file, and the Confluent Platform version defined in the [Makefile](Makfile). An example of the aggregate version number might be: `0.1.5-5.3.1`.
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This will build the connector from source and create a local image with an aggregate version number. The aggregate version number is the kafka-connect-datagen connector version number and the Confluent Platform version number separated with a `-`. The local kafka-connect-datagen version number is defined in the `pom.xml` file, and the Confluent Platform version defined in the [Makefile](Makfile). An example of the aggregate version number might be: `0.1.6-5.3.1`.
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Alternatively, you can install the `kafka-connect-datagen` connector from [Confluent Hub](https://www.confluent.io/connector/kafka-connect-datagen/) into a Docker image by running:
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```bash
@@ -68,7 +68,7 @@ The [Makefile](Makefile) contains some default variables that affect the version
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```bash
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CP_VERSION ?= 5.3.1
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KAFKA_CONNECT_DATAGEN_VERSION ?= 0.1.5
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KAFKA_CONNECT_DATAGEN_VERSION ?= 0.1.6
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```
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These values can be overriden with variable declarations before the `make` command. For example:
To build the `kafka-connect-datagen` connector from latest code and install it to a local Confluent Platform, you can perform the following (here we use `v0.1.5` to reference the git tag for the `0.1.5` version, but the same pattern works for all released versions).
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To build the `kafka-connect-datagen` connector from latest code and install it to a local Confluent Platform, you can perform the following (here we use `v0.1.6` to reference the git tag for the `0.1.6` version, but the same pattern works for all released versions).
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