A fast, portable, self-documenting CLI tool to inspect and manage Kafka
Connect connectors via the REST API. Because you don't want to be fumbling
through runbooks of curl
commands when something's going wrong, or ever
really.
This project also contains a Go library for the Kafka Connect API usable by other Go tools or applications. See Using the Go Library for details.
The tool is self-documenting: run kafka-connect help
or kafka-connect help <subcommand>
when you need a reference. A summary of functionality:
$ kafka-connect
usage: kafka-connect [<flags>] <command> [<args> ...]
Command line utility for managing Kafka Connect.
Flags:
-h, --help Show context-sensitive help (also try --help-long and --help-man).
--version Show application version.
-H, --host=http://localhost:8083/
Host address for the Kafka Connect REST API instance.
Commands:
help [<command>...]
Show help.
list
Lists active connectors. Aliased as 'ls'.
create [<flags>] [<name>]
Creates a new connector instance.
update <name>
Updates a connector.
delete <name>
Deletes a connector. Aliased as 'rm'.
show <name>
Shows information about a connector and its tasks.
config <name>
Displays configuration of a connector.
tasks <name>
Displays tasks currently running for a connector.
status <name>
Gets current status of a connector.
pause <name>
Pause a connector and its tasks.
resume <name>
Resume a paused connector.
restart <name>
Restart a connector and its tasks.
version
Shows kafka-connect version information.
For examples, see the Godoc page for the command.
The process exits with a zero status when operations are successful and non-zero in the case of errors.
If you'd like a man
page, you can generate one and place it on your
MANPATH
:
$ kafka-connect --help-man > /usr/local/share/man/man1/kafka-connect.1
Expanded details for select parameters:
--host / -H
: API host address, defaulthttp://localhost:8083/
. Can be set with environment variableKAFKA_CONNECT_CLI_HOST
. Note that you can target any host in a Kafka Connect cluster.
Binary releases are available on GitHub, signed and with checksums.
Fetch the appropriate version for your platform and place it somewhere on your
PATH
. The YOLO way:
$ curl -L https://github.com/go-kafka/connect/releases/download/cli-v0.9.0/kafka-connect-v0.9.0-linux-amd64.zip
$ unzip kafka-connect-v0.9.0-linux-amd64.zip
$ mv linux-amd64/kafka-connect /usr/local/bin/
The prudent way:
$ curl -L https://github.com/go-kafka/connect/releases/download/cli-v0.9.0/kafka-connect-v0.9.0-linux-amd64.zip
$ curl -L https://github.com/go-kafka/connect/releases/download/cli-v0.9.0/kafka-connect-v0.9.0-linux-amd64.zip.sha256sum
# Verify integrity of the archive file, on OS X try shasum --check
$ sha256sum --check kafka-connect-v0.9.0-linux-amd64.zip.sha256sum
$ unzip kafka-connect-v0.9.0-linux-amd64.zip
$ mv linux-amd64/kafka-connect /usr/local/bin/
Or best of all, the careful way:
$ curl -L https://github.com/go-kafka/connect/releases/download/cli-v0.9.0/kafka-connect-v0.9.0-linux-amd64.zip
$ unzip kafka-connect-v0.9.0-linux-amd64.zip
# Verify signature of the binary:
$ gpg --verify linux-amd64/kafka-connect{.asc,}
$ mv linux-amd64/kafka-connect /usr/local/bin/
You can find my GPG key distributed on keyservers with ID 8638EE95
. The
fingerprint is:
23D6 18B5 3AB8 209F F172 C070 6E5C D3ED 8638 EE95
For a more detailed primer on GPG signatures and key authenticity, check out the Apache Software Foundation's doc.
Cross-compiled binaries are possibly untested—please report any issues. If you would like a binary build for a platform that is not currently published, I'm happy to make one available as long as Go can cross-compile it without problem—please open an issue.
To build your own version from source, see the below Building and Development section.
Shell completion is built in for bash and zsh, just add the following to your
shell profile initialization (~/.bash_profile
or the like):
which kafka-connect >/dev/null && eval "$(kafka-connect --completion-script-bash)"
Predictably, use --completion-script-zsh
for zsh.
This project is implemented in Go and uses Go 1.11 modules to achieve reproducible builds.
Once you have a working Go toolchain, it is simple to build like any Go project that uses modules:
# In someplace you'd like to keep your work:
$ git clone [email protected]:go-kafka/connect.git
$ cd connect
$ go build # or
$ go install # or
$ go test # etc.
Note that you do not need to use a workspace, i.e. $GOPATH
. In fact, you
should not, or else you'll need to set GO111MODULE=on
in your shell
environment to force module-aware mode on.
Cross-compiling is again standard Go procedure: set GOOS
and GOARCH
. For
example if you wanted to build a CLI tool binary for Linux on ARM:
$ env GOOS=linux GOARCH=arm go build ./cmd/...
$ file ./kafka-connect
kafka-connect: ELF 32-bit LSB executable, ARM, version 1 (SYSV), statically linked, not stripped
This project uses the Ginkgo BDD testing library. You can run the tests
normally with go test
or make test
. If you wish to use additional features
of the Ginkgo CLI tool like watch
mode or generating stub test
files, etc. you'll need to install it using:
$ go get github.com/onsi/ginkgo/ginkgo
To use the Go library, simply use go get
and import it in your code as usual:
$ go get github.com/go-kafka/connect
The library has no dependencies beyond the standard library. Dependencies in
this repository's go.mod
are for the CLI tool (the cmd
sub-package, not
installed unless you append /...
to the go get
command above).
See the API documentation linked above for examples.
For information about versioning policy and compatibility status please see the release notes.
https://github.com/datamountaineer/kafka-connect-tools
When I wanted a tool like this, I found this one. It's written in Scala—I <3 Scala, but JVM start-up time is sluggish for CLI tools, and it's much easier to distribute self-contained native binaries to management hosts that don't require a JVM installed.
Similar things can be said of Kafka's packaged management scripts, which are less ergonomic. Hence, I wrote this Go variant.
Kudos to the kafka-connect-tools authors for inspiration.
Please see the Contributing Guide!
The library and CLI tool are made available under the terms of the MIT license, see the LICENSE file for full details.