fast-data-dev

Kafka docker image with Confluent (OSS), Landoop tools, 20+ Kafka Connectors

View latest demo on-line

Why ?

When you need:

Confluent OSS with Apache Kafka including: ZooKeeper, Schema Registry, Kafka REST, Kafka-Connect
Landoop Fast Data Tools including: kafka-topics-ui, schema-registry-ui, kafka-connect-ui
20+ Kafka Connectors to simplify ETL processes
Integration testing and examples embedded into the docker

just run:

docker run --rm --net=host landoop/fast-data-dev

That's it. Visit http://localhost:3030 to get into the fast-data-dev environment

All the service ports are exposed, and can be used from localhost / or within your IntelliJ. To access the JMX data of the broker run:

jconsole localhost:9581

If you want to have the services remotely accessible, then you need to pass in your machine's IP address or hostname that other machines can use to access it:

docker run --rm --net=host -e ADV_HOST=<IP> landoop/fast-data-dev

Hit control+c to stop and remove everything

Mac and Windows users only (docker-machine)

Create a VM with 6GB RAM using Docker Machine:

docker-machine create --driver virtualbox --virtualbox-memory 6000 landoop

Run docker-machine ls to verify that the Docker Machine is running correctly. The command's output should be similar to:

$ docker-machine ls
NAME        ACTIVE   DRIVER       STATE     URL                         SWARM   DOCKER        ERRORS
landoop     *        virtualbox   Running   tcp://192.168.99.100:2376           v17.03.1-ce

Configure your terminal to be able to use the new Docker Machine named landoop:

eval $(docker-machine env landoop)

And run the Kafka Development Environment. Define ports, advertise the hostname and use extra parameters:

docker run --rm -p 2181:2181 -p 3030:3030 -p 8081-8083:8081-8083 \
           -p 9581-9585:9581-9585 -p 9092:9092 -e ADV_HOST=192.168.99.100 \
           landoop/fast-data-dev:latest

That's it. Visit http://192.168.99.100:3030 to get into the fast-data-dev environment

Run on the Cloud

You may want to quickly run a Kafka instance in GCE or AWS and access it from your local computer. Fast-data-dev has you covered.

Start a VM in the respective cloud. You can use the OS of your choice, provided it has a docker package. CoreOS is a nice choice as you get docker out of the box.

Next you have to open the firewall, both for your machines but also for the VM itself. This is important!

Once the firewall is open try:

docker run -d --net=host -e ADV_HOST=[VM_EXTERNAL_IP] \
           -e RUNNING_SAMPLEDATA=1 landoop/fast-data-dev

Alternatively just export the ports you need. E.g:

docker run -d -p 2181:2181 -p 3030:3030 -p 8081-8083:8081-8083 \
           -p 9581-9585:9581-9585 -p 9092:9092 -e ADV_HOST=[VM_EXTERNAL_IP] \
           -e RUNNING_SAMPLEDATA=1 landoop/fast-data-dev

Enjoy Kafka, Schema Registry, Connect, Landoop UIs and Stream Reactor.

Customize execution

You can further customize the execution of the container with additional flags:

optional_parameters	usage
`WEB_ONLY=1`	Run in combination with `--net=host` and docker will connect to the kafka services running on the local host
`CONNECT_HEAP=3G`	Configure the heap size allocated to Kafka Connect
`PASSWORD=password`	Protect you kafka resources when running publicly with username `kafka` with the password you set
`USER=username`	Run in combination with `PASSWORD` to specify the username to use on basic auth
`RUNTESTS=0`	Disable the (coyote) integration tests from running when container starts
`FORWARDLOGS=0`	Disable running 5 file source connectors that bring application logs into Kafka topics
`RUN_AS_ROOT=1`	Run kafka as `root` user - useful to i.e. test HDFS connector
`DISABLE_JMX=1`	Disable JMX - enabled by default on ports 9581 - 9585
`TOPIC_DELETE=0`	Configure whether you can delete topics. By default topics can be deleted.
`<SERVICE>_PORT=<PORT>`	Custom port `<PORT>` for service, where `<SERVICE>` one of `ZK`, `BROKER`, `BROKER_SSL`, `REGISTRY`, `REST`, `CONNECT`
`ENABLE_SSL=1`	Generate a CA, key-certificate pairs and enable a SSL port on the broker
`SSL_EXTRA_HOSTS=IP1,host2`	If SSL is enabled, extra hostnames and IP addresses to include to the broker certificate
`CONNECTORS=<CONNECTOR>[,<CON2>]`	Explicitly set which connectors will be enabled. E.g `hbase`, `elastic` (Stream Reactor version)
`DISABLE=<CONNECTOR>[,<CON2>]`	Disable one or more connectors. E.g `hbase`, `elastic` (Stream Reactor version), `elasticsearch` (Confluent version)
`DEBUG=1`	Print stdout and stderr of all processes to container's stdout. Useful for debugging early container exits.
`SAMPLEDATA=0`	Do not create `sea_vessel_position_reports`, `nyc_yellow_taxi_trip_data`, `reddit_posts` topics with sample Avro records.
`RUNNING_SAMPLEDATA=1`	In the sample topics send a continuous (yet low) flow of messages, so you can develop against live data.

And execute the docker image if needed in daemon mode:

docker run -e CONNECT_HEAP=3G -d landoop/fast-data-dev

Versions

The latest version of this docker image tracks our latest stable tag (cp3.2.2). Our images include:

Version	Confluent OSS	Landoop tools	Apache Kafka	Connectors
landoop/fast-data-dev:cp3.1.2	3.1.2	✓	0.10.1.1	20+ connectors
landoop/fast-data-dev:cp3.0.1	3.0.1	✓	0.10.0.1	20+ connectors
landoop/fast-data-dev:cp3.2.2	3.2.2	✓	0.10.2.1	24+ connectors
landoop/fast-data-dev:cp3.3.0	3.3.0	✓	0.11.0.0	30+ connectors

Fast-data-dev contains a collection of popular open source connectors including stream-reactor v0.3.0

Please note the BSL license of the tools. To use them on a PROD cluster with > 3 Kafka nodes, you should contact us.

Building it

To build it just run:

docker build -t landoop/fast-data-dev .

Also periodically pull from docker hub to refresh your cache.

Advanced settings

Custom Ports

To use custom ports for the various services, you can take advantage of the ZK_PORT, BROKER_PORT, REGISTRY_PORT, REST_PORT, CONNECT_PORT and WEB_PORT environment variables. One catch is that you can't swap ports; e.g to assign 8082 (default REST Proxy port) to the brokers.

docker run --rm -it \
           -p 3181:3181 -p 3040:3040 -p 7081:7081 \
           -p 7082:7082 -p 7083:7083 -p 7092:7092 \
           -e ZK_PORT=3181 -e WEB_PORT=3040 -e REGISTRY_PORT=8081 \
           -e REST_PORT=7082 -e CONNECT_PORT=7083 -e BROKER_PORT=7092 \
           -e ADV_HOST=127.0.0.1 \
           landoop/fast-data-dev

Execute kafka command line tools

Do you need to execute kafka related console tools? Whilst your Kafka containers is running, try something like:

docker run --rm -it --net=host landoop/fast-data-dev kafka-topics --zookeeper localhost:2181 --list

Or enter the container to use any tool as you like:

docker run --rm -it --net=host landoop/fast-data-dev bash

View logs

Every application stores its logs under /var/log inside the container. If you have your container's ID, or name, you could do something like:

docker exec -it <ID> cat /var/log/broker.log

Enable additional connectors

If you have a custom connector you would like to use, you can mount it at folder /connectors. CLASSPATH variable for Kafka Connect is set up as /connectors/*, so it will use any jar files it will find inside this directory:

docker run --rm -it --net=host \
           -v /path/to/my/connector/jar/files:/connectors \
           landoop/fast-data-dev

Build Kafka-Connect clusters

If you already have your Kafka brokers and ZKs infrastructure in place and you need to spin up a few Kafka-Connect clusters, check the fast-data-connect-cluster, a spinoff of fast-data-dev aimed at running many connect clusters concurrently.

In short, you can run a docker Kafka-Connect instance to join the connect-cluster with ID = 01 with:

docker run -d --net=host \
           -e ID=01 \
           -e BS=broker1:9092,broker2:9092 \
           -e ZK=zk1:2181,zk2:2181 \
           -e SC=http://schema-registry:8081 \
           -e HOST=<IP OR FQDN>
           landoop/fast-data-dev-connect-cluster

Enable SSL on Broker

Do you want to test your application over an authenticated TLS connection to the broker? We got you covered. Enable TLS via -e ENABLE_SSL=1:

docker run --rm --net=host \
           -e ENABLE_SSL=1 \
           landoop/fast-data-dev

When fast-data-dev spawns, it will create a self-signed CA. From that it will create a truststore and two signed key-certificate pairs, one for the broker, one for your client. You can access the truststore and the client's keystore from our Web UI, under /certs (e.g http://localhost:3030/certs). The password for both the keystores and the TLS key is fastdata. The SSL port of the broker is 9093, configurable via the BROKER_SSL_PORT variable.

Here is a simple example of how the SSL functionality can be used. Let's spawn a fast-data-dev to act as the server:

docker run --rm --net=host -e ENABLE_SSL=1 -e RUNTESTS=0 landoop/fast-data-dev

On a new console, run another instance of fast-data-dev only to get access to Kafka command line utilities and use TLS to connect to the broker of the former container:

docker run --rm -it --net=host --entrypoint bash landoop/fast-data-dev
root@fast-data-dev / $ wget localhost:3030/certs/truststore.jks
root@fast-data-dev / $ wget localhost:3030/certs/client.jks
root@fast-data-dev / $ kafka-producer-perf-test --topic tls_test \
  --throughput 100000 --record-size 1000 --num-records 2000 \
  --producer-props bootstrap.servers="localhost:9093" security.protocol=SSL \
  ssl.keystore.location=client.jks ssl.keystore.password=fastdata \
  ssl.key.password=fastdata ssl.truststore.location=truststore.jks \
  ssl.truststore.password=fastdata

Since the plaintext port is also available, you can test both and find out which is faster and by how much. ;)

Advanced Connector settings

Explicitly Enable Connectors

The number of connectors present significantly affects Kafka Connect's startup time, as well as its memory usage. You can enable connectors explicitly using the CONNECTORS environment variable:

docker run --rm -it --net=host \
           -e CONNECTORS=jdbc,elastic,hbase \
           landoop/fast-data-dev

Please note that if you don't enable jdbc, some tests will fail. This doesn't affect fast-data-dev's operation.

Explicitly Disable Connectors

Following the same logic as in the paragraph above, you can instead choose to explicitly disable certain connectors using the DISABLE environment variable. It takes a comma separated list of connector names you want to disable:

docker run --rm -it --net=host \
           -e DISABLE=elastic,hbase \
           landoop/fast-data-dev

If you disable the jdbc connector, some tests will fail to run.

FAQ

Landoop's Fast Data Web UI tools and integration test requires some time till they fully work. Especially the tests and Kafka Connect UI will need a few minutes.

That is because the services (Kafka, Schema Registry, Kafka Connect, REST Proxy) have to start and initialize before the UIs can read data.
When you start the container, Schema Registry and REST Proxy fail.

This happens because the Broker isn't up yet. It is normal. Supervisord will make sure they will work automatically once the Broker starts.
What resources does this container need?

An idle, fresh container will need about 3.5GiB of RAM. As at least 4 JVM applications will be working in it, your mileage will vary. In our experience Kafka Connect usually requires a lot of memory. It's heap size is set by default to 1GiB but you'll might need more than that.
Fast-data-dev does not start properly, broker fails with:

[2016-08-23 15:54:36,772] FATAL [Kafka Server 0], Fatal error during KafkaServer startup. Prepare to shutdown (kafka.server.KafkaServer) java.net.UnknownHostException: [HOSTNAME]: [HOSTNAME]: unknown error

JVM based apps tend to be a bit sensitive to hostname issues. Either run the image without --net=host and expose all ports (2181, 3030, 8081, 8082, 8083, 9092) to the same port at the host, or better yet make sure your hostname resolve to the localhost address (127.0.0.1). Usually to achieve this, you need to add your hostname (case sensitive) at /etc/hosts as the first name after 127.0.0.1. E.g:
```
127.0.0.1 MyHost localhost
```

Detailed configuration options

Web Only Mode

This is a special mode only for Linux hosts, where only Landoop's Web UIs are started and kafka services are expected to be running on the local machine. It must be run with --net=host flag, thus the Linux only requisite:

docker run --rm -it --net=host \
           -e WEB_ONLY=true \
           landoop/fast-data-dev

This is useful if you already have a cluster with Confluent's distribution installed and want just the additional Landoop Fast Data web UI.

Connect Heap Size

You can configure Connect's heap size via the environment variable CONNECT_HEAP. The default is 1G:

docker run -e CONNECT_HEAP=5G -d landoop/fast-data-dev

Basic Auth (password)

We have included a web server to serve Landoop UIs and proxy the schema registry and kafa REST proxy services, in order to share your docker over the web. If you want some basic protection, pass the PASSWORD variable and the web server will be protected by user kafka with your password. If you want to setup the username too, set the USER variable.

 docker run --rm -it -p 3030:3030 \
            -e PASSWORD=password \
            landoop/fast-data-dev

Disable tests

By default this docker runs a set of coyote tests, to ensure that your container and development environment is all set up. You can disable running the coyote tests using the flag:

-e RUNTESTS=0

Run Kafka as root

In the recent versions of fast-data-dev, we switched to running Kafka as user nobody instead of root since it was a bad practice. The old behaviour may still be desirable, for example on our HDFS connector tests, Connect worker needs to run as the root user in order to be able to write to the HDFS. To switch to the old behaviour, use:

-e RUN_AS_ROOT=1

JMX Metrics

JMX metrics are enabled by default. If you want to disable them for some reason (e.g you need the ports for other purposes), use the DISABLE_JMX environment variable:

docker run --rm -it --net=host \
           -e DISABLE_JMX=1 \
           landoop/fast-data-dev

JMX ports are hardcoded to 9581 for the broker, 9582 for schema registry, 9583 for REST proxy and 9584 for connect distributed. Zookeeper is exposed at 9585.

masterclock/fast-data-dev