Install Confluent Platform using ZIP and TAR Archives¶

This topic provides instructions for running Confluent Platform locally or running a production-ready Confluent Platform configuration in a multi-node environment.

With the production-ready installation method, you will connect to every node manually, download the archive, and run the Confluent Platform installation commands.

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Prerequisites¶

You must complete these steps for each node in your cluster.
Before installing Confluent Platform, your environment must meet the prerequisites as described in software and hardware requirements.

Get the software¶

Go to the installation page. You may be prompted to enter your name, company, email address, and accept license terms before you can access the page.

After you are on the installation page, choose your archive package or download a package directly by using the curl command.
Confluent Platform
- ZIP
  curl -O https://packages.confluent.io/archive/7.7/confluent-7.7.1.zip
- TAR
  curl -O https://packages.confluent.io/archive/7.7/confluent-7.7.1.tar.gz
Confluent Platform using only Confluent Community components
- ZIP
  curl -O https://packages.confluent.io/archive/7.7/confluent-community-7.7.1.zip
- TAR
  curl -O https://packages.confluent.io/archive/7.7/confluent-community-7.7.1.tar.gz

Extract the contents of the archive. For ZIP files, run this command in a terminal.

unzip confluent-7.7.1.zip

For TAR files run this command:

tar xzf confluent-7.7.1.tar.gz

You should have these directories:

Folder	Description
/bin/	Driver scripts for starting and stopping services
/etc/	Configuration files
/lib/	Systemd services
/libexec/	Multi-platform CLI binaries
/share/	Jars and licenses
/src/	Source files that require a platform-dependent build

Configure CONFLUENT_HOME and PATH¶

To more easily use the Confluent CLI and all of the command-line tools that are provided with Confluent Platform, you can optionally configure the CONFLUENT_HOME variable and add the Confluent Platform \bin folder to your PATH. Then you can use the CLI tools without navigating to the CONFLUENT_HOME directory.

Set the environment variable for the Confluent Platform home directory. This is the directory where Confluent Platform is installed. For example:
```
export CONFLUENT_HOME=~/confluent-7.7.1
```
Add the Confluent Platform bin directory to your PATH
```
export PATH=$PATH:$CONFLUENT_HOME/bin
```
Test that you set the CONFLUENT_HOME variable correctly by running the confluent command:
```
confluent --help
```
Your output should show the available commands for managing Confluent Platform.

Tip

For a tutorial that shows you how to configure and run multiple clusters locally, for learning and development purposes, see Tutorial: Set Up a Multi-Broker Kafka Cluster.

Configure Confluent Platform for production¶

Tip

You can store passwords and other configuration data securely by using the confluent secret commands. For more information, see Manage Secrets in Confluent Platform.

Configure Confluent Platform with the individual component properties files. By default these are located in CONFLUENT_HOME/etc/. You must minimally configure the following components.

ZooKeeper¶

These instructions assume you are running ZooKeeper in replicated mode. A minimum of three servers are required for replicated mode, and you must have an odd number of servers for failover. For more information, see the ZooKeeper documentation.

Important

As of Confluent Platform 7.5, ZooKeeper is deprecated for new deployments. Confluent recommends KRaft mode for new deployments. For more information, see KRaft Overview for Confluent Platform.

Navigate to the ZooKeeper properties file (/etc/kafka/zookeeper.properties) file and modify as shown.
```
tickTime=2000
dataDir=/var/lib/zookeeper/
clientPort=2181
initLimit=5
syncLimit=2
server.1=zoo1:2888:3888
server.2=zoo2:2888:3888
server.3=zoo3:2888:3888
autopurge.snapRetainCount=3
autopurge.purgeInterval=24
```
This configuration is for a three node ensemble. This configuration file should be identical across all nodes in the ensemble. tickTime, dataDir, and clientPort are all set to typical single server values. The initLimit and syncLimit govern how long following ZooKeeper servers can take to initialize with the current leader and how long they can be out of sync with the leader. In this configuration, a follower can take 10000 ms to initialize and can be out of sync for up to 4000 ms based on the tickTime being set to 2000ms.

The server.* properties set the ensemble membership. The format is
```
server.<myid>=<hostname>:<leaderport>:<electionport>
```
- myid is the server identification number. There are three servers that each have a different myid with values 1, 2, and 3 respectively. The myid is set by creating a file named myid in the dataDir that contains a single integer in human readable ASCII text. This value must match one of the myid values from the configuration file. You will see an error if another ensemble member is already started with a conflicting myid value.
- leaderport is used by followers to connect to the active leader. This port should be open between all ZooKeeper ensemble members.
- electionport is used to perform leader elections between ensemble members. This port should be open between all ZooKeeper ensemble members.
The autopurge.snapRetainCount and autopurge.purgeInterval have been set to purge all but three snapshots every 24 hours.
Navigate to the ZooKeeper log directory (e.g., /var/lib/zookeeper/) and create a file named myid. The myid file consists of a single line that contains the machine ID in the format <machine-id>. When the ZooKeeper server starts up, it knows which server it is by referencing the myid file. For example, server 1 will have a myid value of 1.

Kafka in KRaft mode¶

If you are using Kafka in KRaft mode, you must configure a node to be a broker or a controller. In addition, you must create a unique cluster ID and format the log directories with that ID.

Typically in a production environment, you should have a minimum of three brokers and three controllers.

Navigate to the Kafka properties file for KRaft (find example KRaft configuration files under /etc/kafka/kraft/) and customize the following:
Configure the process.roles, node.id and controller.quorum.voters for each node.
- For process.roles, set whether the node will be a broker or a controller. combined mode, meaning process.roles is set to broker,controller, is currently not supported for production workloads.
- Set a system-wide unique ID for the node.id for each broker/controller.
- controller.quorum.voters should be a comma-separated list of controllers in the format nodeID@hostname:port
```
############################# Server Basics #############################

# The role of this server. Setting this puts us in KRaft mode
process.roles=broker

# The node id associated with this instance's roles
node.id=2

# The connect string for the controller quorum
controller.quorum.voters=1@controller1:9093,3@controller3:9093,5@controller5:9093
```
Configure how brokers and clients communicate with the broker using listeners, and where controllers listen with controller.listener.names.
- listeners: Comma-separated list of URIs and listener names to listen on in the format listener_name://host_name:port
- controller.listener.names: Comma-separated list of listener_name entries for listeners used by the controller.
For more information, see KRaft Configuration for Confluent Platform.
Before you start Kafka, you must use the kafka-storage tool with the random-uuid command to generate a cluster ID for each new cluster. You only need one cluster ID, which you will use to format each node in the cluster.
```
bin/kafka-storage random-uuid
```
This results in output like the following:
```
q1Sh-9_ISia_zwGINzRvyQ
```
Then use the cluster ID to format storage for each node in the cluster with the kafka-storage tool that is provided with Confluent Platform, and the format command like the following example, specifying the properties file for a controller.
```
bin/kafka-storage format -t q1Sh-9_ISia_zwGINzRvyQ -c etc/kafka/kraft/controller.properties
```
Previously, Kafka would format blank storage directories automatically and generate a new cluster ID automatically. One reason for the change is that auto-formatting can sometimes obscure an error condition. This is particularly important for the metadata log maintained by the controller and broker servers. If a majority of the controllers were able to start with an empty log directory, a leader might be able to be elected with missing committed data. To configure the log directory, either set metadata.log.dir or log.dirs. For more information, see Listeners and logs.
Configure security for your environment.
- For general security guidance, see Manage Security in Confluent Platform.
- For role-based access control (RBAC), see Configure Metadata Service (MDS) in Confluent Platform.

Kafka in ZooKeeper mode¶

If you are using ZooKeeper for cluster metadata management, use the following guidelines.

During startup in ZooKeeper mode, Kafka brokers register themselves in ZooKeeper to become a member of the cluster.

In a production environment, multiple brokers are required.

To configure brokers, navigate to the Apache Kafka® properties file (/etc/kafka/server.properties) and customize the following:

Connect to the same ZooKeeper ensemble by setting the zookeeper.connect in all nodes to the same value. Replace all instances of localhost to the hostname or FQDN (fully qualified domain name) of your node. For example, if your hostname is zookeeper:
```
zookeeper.connect=zookeeper:2181
```
Configure the broker IDs for each node in your cluster using one of these methods.
- Dynamically generate the broker IDs: add broker.id.generation.enable=true and comment out broker.id. For example:
```
############################# Server Basics #############################

# The ID of the broker. This must be set to a unique integer for each broker.
#broker.id=0
broker.id.generation.enable=true
```
- Manually set the broker IDs: set a unique value for broker.id on each node.
Configure how other brokers and clients communicate with the broker using listeners, and optionally advertised.listeners.
- listeners: Comma-separated list of URIs and listener names to listen on.
- advertised.listeners: Comma-separated list of URIs and listener names for other brokers and clients to use. The advertised.listeners parameter ensures that the broker advertises an address that is accessible from both local and external hosts.
For more information, see Production Configuration Options.
Configure security for your environment.
- For general security guidance, see Manage Security in Confluent Platform.
- For role-based access control (RBAC), see Configure Metadata Service (MDS) in Confluent Platform.
- For TLS encryption, SASL authentication, and authorization, see Enable Security for a ZooKeeper-Based Cluster in Confluent Platform.

Control Center¶

Navigate to the Control Center properties file (/etc/confluent-control-center/control-center-production.properties) and customize the following:

# host/port pairs to use for establishing the initial connection to the Kafka cluster
bootstrap.servers=<hostname1:port1,hostname2:port2,hostname3:port3,...>
# location for Control Center data
confluent.controlcenter.data.dir=/var/lib/confluent/control-center
# the Confluent license
confluent.license=<your-confluent-license>

If running any clusters in ZooKeeper mode, configure ZooKeeper.
```
# ZooKeeper connection string with host and port of a ZooKeeper servers
zookeeper.connect=<hostname1:port1,hostname2:port2,hostname3:port3,...>
```
This configuration is for a three node multi-node cluster. For more information, see Control Center configuration details. For information about Confluent Platform licenses, see Manage Confluent Platform Licenses Using Control Center.

Navigate to the Kafka server configuration file and enable Confluent Metrics Reporter.

##################### Confluent Metrics Reporter #######################
# Confluent Control Center and Confluent Auto Data Balancer integration
#
# Uncomment the following lines to publish monitoring data for
# Confluent Control Center and Confluent Auto Data Balancer
# If you are using a dedicated metrics cluster, also adjust the settings
# to point to your metrics Kafka cluster.
metric.reporters=io.confluent.metrics.reporter.ConfluentMetricsReporter
confluent.metrics.reporter.bootstrap.servers=localhost:9092
#
# Uncomment the following line if the metrics cluster has a single broker
confluent.metrics.reporter.topic.replicas=1

Add these lines to the Kafka Connect properties file (/etc/kafka/connect-distributed.properties) to add support for the interceptors.

# Interceptor setup
consumer.interceptor.classes=io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor
producer.interceptor.classes=io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor

Schema Registry¶

Navigate to the Schema Registry properties file (/etc/schema-registry/schema-registry.properties) and specify the following properties:

# Specify the address the socket server listens on, e.g. listeners = PLAINTEXT://your.host.name:9092
listeners=http://0.0.0.0:8081

# The host name advertised in ZooKeeper. This must be specified if your running Schema Registry
# with multiple nodes.
host.name=192.168.50.1

# List of Kafka brokers to connect to, e.g. PLAINTEXT://hostname:9092,SSL://hostname2:9092
kafkastore.bootstrap.servers=PLAINTEXT://hostname:9092,SSL://hostname2:9092

This configuration is for a three node multi-node cluster. For more information, see Deploy Schema Registry in Production on Confluent Platform.

Start Confluent Platform¶

Start Confluent Platform by using Kafka CLI commands.

Tip

In ZooKeeper mode, ZooKeeper must be started first. Kafka, and Schema Registry must be started in this order, and must be started after ZooKeeper, if you are using it, and before any other components.

Start ZooKeeper. Run this command in its own terminal.

zookeeper-server-start ${CONFLUENT_HOME}/etc/kafka/zookeeper.properties

Start Kafka.

kafka-server-start ${CONFLUENT_HOME}/etc/kafka/server.properties

Start Schema Registry. Run this command in its own terminal.

schema-registry-start ${CONFLUENT_HOME}/etc/schema-registry/schema-registry.properties

Start other Confluent Platform components as desired.

Control Center

control-center-start ${CONFLUENT_HOME}/etc/confluent-control-center/control-center.properties

Kafka Connect

connect-distributed ${CONFLUENT_HOME}/etc/schema-registry/connect-avro-distributed.properties

Confluent REST Proxy

kafka-rest-start ${CONFLUENT_HOME}/etc/kafka-rest/kafka-rest.properties

ksqlDB

ksql-server-start ${CONFLUENT_HOME}/etc/ksqldb/ksql-server.properties

Start a Kafka controller. Run this command in its own terminal.

kafka-server-start ${CONFLUENT_HOME}/etc/kafka/kraft/controller.properties

Start a Kafka broker.

kafka-server-start ${CONFLUENT_HOME}/etc/kafka/kraft/broker.properties