Deploy CockroachDB On-Premises

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This tutorial shows you how to manually deploy a secure multi-node CockroachDB cluster on multiple machines, using HAProxy load balancers to distribute client traffic.

If you are only testing CockroachDB, or you are not concerned with protecting network communication with TLS encryption, you can use an insecure cluster instead. Select Insecure above for instructions.

Requirements

• You must have CockroachDB installed locally. This is necessary for generating and managing your deployment's certificates.

• You must have SSH access to each machine. This is necessary for distributing and starting CockroachDB binaries.

• Your network configuration must allow TCP communication on the following ports:

  • 26257 for intra-cluster and client-cluster communication
  • 8080 to expose your Admin UI

Recommendations

• If you plan to use CockroachDB in production, carefully review the Production Checklist.

• Decide how you want to access your Admin UI:

  Access Level	Description
  Partially open	Set a firewall rule to allow only specific IP addresses to communicate on port 8080.
  Completely open	Set a firewall rule to allow all IP addresses to communicate on port 8080.
  Completely closed	Set a firewall rule to disallow all communication on port 8080. In this case, a machine with SSH access to a node could use an SSH tunnel to access the Admin UI.

Step 1. Synchronize clocks

CockroachDB requires moderate levels of clock synchronization to preserve data consistency. For this reason, when a node detects that its clock is out of sync with at least half of the other nodes in the cluster by 80% of the maximum offset allowed (500ms by default), it spontaneously shuts down. This avoids the risk of consistency anomalies, but it's best to prevent clocks from drifting too far in the first place by running clock synchronization software on each node.

ntpd should keep offsets in the single-digit milliseconds, so that software is featured here, but other methods of clock synchronization are suitable as well.

1. SSH to the first machine.

2. Disable timesyncd, which tends to be active by default on some Linux distributions:

   $ sudo timedatectl set-ntp no
   

   Verify that timesyncd is off:

   $ timedatectl
   

   Look for Network time on: no or NTP enabled: no in the output.

3. Install the ntp package:

   $ sudo apt-get install ntp
   

4. Stop the NTP daemon:

   $ sudo service ntp stop
   

5. Sync the machine's clock with Google's NTP service:

   $ sudo ntpd -b time.google.com
   

   To make this change permanent, in the /etc/ntp.conf file, remove or comment out any lines starting with server or pool and add the following lines:

   server time1.google.com iburst
   server time2.google.com iburst
   server time3.google.com iburst
   server time4.google.com iburst
   

   Restart the NTP daemon:

   $ sudo service ntp start
   

   Note:

   We recommend Google's external NTP service because they handle "smearing" the leap second. If you use a different NTP service that doesn't smear the leap second, you must configure client-side smearing manually and do so in the same way on each machine.

6. Verify that the machine is using a Google NTP server:

   $ sudo ntpq -p
   

   The active NTP server will be marked with an asterisk.

7. Repeat these steps for each machine where a CockroachDB node will run.

Step 2. Generate certificates

You can use either cockroach cert commands or openssl commands to generate security certificates. This section features the cockroach cert commands.

Locally, you'll need to create the following certificates and keys:

• A certificate authority (CA) key pair (ca.crt and ca.key).
• A node key pair for each node, issued to its IP addresses and any common names the machine uses, as well as to the IP addresses and common names for machines running load balancers.
• A client key pair for the root user. You'll use this to run a sample workload against the cluster as well as some cockroach client commands from your local machine.

1. Install CockroachDB on your local machine, if you haven't already.

2. Create two directories:

   $ mkdir certs
   

   $ mkdir my-safe-directory
   

   • certs: You'll generate your CA certificate and all node and client certificates and keys in this directory and then upload some of the files to your nodes.
   • my-safe-directory: You'll generate your CA key in this directory and then reference the key when generating node and client certificates. After that, you'll keep the key safe and secret; you will not upload it to your nodes.

3. Create the CA certificate and key:

   $ cockroach cert create-ca \
   --certs-dir=certs \
   --ca-key=my-safe-directory/ca.key
   

4. Create the certificate and key for the first node, issued to all common names you might use to refer to the node as well as to the load balancer instances:

   $ cockroach cert create-node \
   <node1 internal IP address> \
   <node1 external IP address> \
   <node1 hostname>  \
   <other common names for node1> \
   localhost \
   127.0.0.1 \
   <load balancer IP address> \
   <load balancer hostname>  \
   <other common names for load balancer instances> \
   --certs-dir=certs \
   --ca-key=my-safe-directory/ca.key
   

5. Upload certificates to the first node:

   # Create the certs directory:
   $ ssh <username>@<node1 address> "mkdir certs"
   

   # Upload the CA certificate and node certificate and key:
   $ scp certs/ca.crt \
   certs/node.crt \
   certs/node.key \
   <username>@<node1 address>:~/certs
   

6. Delete the local copy of the node certificate and key:

   $ rm certs/node.crt certs/node.key
   

   Note:

   This is necessary because the certificates and keys for additional nodes will also be named node.crt and node.key As an alternative to deleting these files, you can run the next cockroach cert create-node commands with the --overwrite flag.

7. Create the certificate and key for the second node, issued to all common names you might use to refer to the node as well as to the load balancer instances:

   $ cockroach cert create-node \
   <node2 internal IP address> \
   <node2 external IP address> \
   <node2 hostname>  \
   <other common names for node2> \
   localhost \
   127.0.0.1 \
   <load balancer IP address> \
   <load balancer hostname>  \
   <other common names for load balancer instances> \
   --certs-dir=certs \
   --ca-key=my-safe-directory/ca.key
   

8. Upload certificates to the second node:

   # Create the certs directory:
   $ ssh <username>@<node2 address> "mkdir certs"
   

   # Upload the CA certificate and node certificate and key:
   $ scp certs/ca.crt \
   certs/node.crt \
   certs/node.key \
   <username>@<node2 address>:~/certs
   

9. Repeat steps 6 - 8 for each additional node.

10. Create a client certificate and key for the root user:

    $ cockroach cert create-client \
    root \
    --certs-dir=certs \
    --ca-key=my-safe-directory/ca.key
    

11. Upload certificates to the machine where you will run a sample workload:

    # Create the certs directory:
    $ ssh <username>@<workload address> "mkdir certs"
    

    # Upload the CA certificate and client certificate and key:
    $ scp certs/ca.crt \
    certs/client.root.crt \
    certs/client.root.key \
    <username>@<workload address>:~/certs
    

    In later steps, you'll also use the root user's certificate to run cockroach client commands from your local machine. If you might also want to run cockroach client commands directly on a node (e.g., for local debugging), you'll need to copy the root user's certificate and key to that node as well.

Step 3. Start nodes

You can start the nodes manually or automate the process using systemd.

Step 4. Initialize the cluster

On your local machine, run the cockroach init command to complete the node startup process and have them join together as a cluster:

$ cockroach init --certs-dir=certs --host=<address of any node>

This command requires the following flags:

After running this command, each node prints helpful details to the standard output, such as the CockroachDB version, the URL for the admin UI, and the SQL URL for clients.

Step 5. Test the cluster

CockroachDB replicates and distributes data for you behind-the-scenes and uses a Gossip protocol to enable each node to locate data across the cluster.

To test this, use the built-in SQL client locally as follows:

1. On your local machine, launch the built-in SQL client:

   $ cockroach sql --certs-dir=certs --host=<address of any node>
   

   This command requires the following flags:

   Flag	Description
   --certs-dir	Specifies the directory where you placed the ca.crt file and the client.root.crt and client.root.key files for the root user.
   --host	Specifies the address of any node in the cluster.

2. Create a securenodetest database:

   > CREATE DATABASE securenodetest;
   

3. Use \q or CTRL-C to exit the SQL shell.

4. Launch the built-in SQL client against a different node:

   $ cockroach sql --certs-dir=certs --host=<address of different node>
   

5. View the cluster's databases, which will include securenodetest:

   > SHOW DATABASES;
   

   +--------------------+
   |      Database      |
   +--------------------+
   | crdb_internal      |
   | information_schema |
   | securenodetest     |
   | pg_catalog         |
   | system             |
   +--------------------+
   (5 rows)
   

6. Use \q or CTRL-C to exit the SQL shell.

Step 6. Set up HAProxy load balancers

Each CockroachDB node is an equally suitable SQL gateway to your cluster, but to ensure client performance and reliability, it's important to use load balancing:

• Performance: Load balancers spread client traffic across nodes. This prevents any one node from being overwhelmed by requests and improves overall cluster performance (queries per second).

• Reliability: Load balancers decouple client health from the health of a single CockroachDB node. In cases where a node fails, the load balancer redirects client traffic to available nodes.

  Tip:

  With a single load balancer, client connections are resilient to node failure, but the load balancer itself is a point of failure. It's therefore best to make load balancing resilient as well by using multiple load balancing instances, with a mechanism like floating IPs or DNS to select load balancers for clients.

HAProxy is one of the most popular open-source TCP load balancers, and CockroachDB includes a built-in command for generating a configuration file that is preset to work with your running cluster, so we feature that tool here.

1. On your local machine, run the cockroach gen haproxy command with the --host flag set to the address of any node and security flags pointing to the CA cert and the client cert and key:

   $ cockroach gen haproxy \
   --certs-dir=certs \
   --host=<address of any node> \
   --port=26257
   

   By default, the generated configuration file is called haproxy.cfg and looks as follows, with the server addresses pre-populated correctly:

   global
     maxconn 4096
   
   defaults
       mode                tcp
       # Timeout values should be configured for your specific use.
       # See: https://cbonte.github.io/haproxy-dconv/1.8/configuration.html#4-timeout%20connect
       timeout connect     10s
       timeout client      1m
       timeout server      1m
       # TCP keep-alive on client side. Server already enables them.
       option              clitcpka
   
   listen psql
       bind :26257
       mode tcp
       balance roundrobin
       server cockroach1 <node1 address>:26257 check
       server cockroach2 <node2 address>:26258 check
       server cockroach3 <node3 address>:26259 check
   

   The file is preset with the minimal configurations needed to work with your running cluster:

   Field	Description
   timout connect timeout client timeout server	Timeout values that should be suitable for most deployments.
   bind	The port that HAProxy listens on. This is the port clients will connect to and thus needs to be allowed by your network configuration. This tutorial assumes HAProxy is running on a separate machine from CockroachDB nodes. If you run HAProxy on the same machine as a node (not recommended), you'll need to change this port, as 26257 is also used for inter-node communication.
   balance	The balancing algorithm. This is set to roundrobin to ensure that connections get rotated amongst nodes (connection 1 on node 1, connection 2 on node 2, etc.). Check the HAProxy Configuration Manual for details about this and other balancing algorithms.
   server	For each node in the cluster, this field specifies the interface that the node listens on, i.e., the address passed in the --host flag on node startup. check specifies that HAProxy will confirm that a connection can be established before sending data to a node.

   Note:

   For full details on these and other configuration settings, see the HAProxy Configuration Manual.

2. Upload the haproxy.cfg file to the machine where you want to run HAProxy:

   $ scp haproxy.cfg <username>@<haproxy address>:~/
   

3. SSH to the machine where you want to run HAProxy.

4. Install HAProxy:

   $ apt-get install haproxy
   

5. Start HAProxy, with the -f flag pointing to the haproxy.cfg file:

   $ haproxy -f haproxy.cfg
   

6. Repeat these steps for each additional instance of HAProxy you want to run.

Step 7. Set up monitoring and alerting

Despite CockroachDB's various built-in safeguards against failure, it is critical to actively monitor the overall health and performance of a cluster running in production and to create alerting rules that promptly send notifications when there are events that require investigation or intervention.

For details about available monitoring options and the most important events and metrics to alert on, see Monitoring and Alerting.

Step 8. Scale the cluster

You can start the nodes manually or automate the process using systemd.

Step 9. Use the cluster

Now that your deployment is working, you can:

1. Implement your data model.
2. Create users and grant them privileges.
3. Connect your application. Be sure to connect your application to the load balancer, not to a CockroachDB node.

You may also want to adjust the way the cluster replicates data. For example, by default, a multi-node cluster replicates all data 3 times; you can change this replication factor or create additional rules for replicating individual databases and tables differently. For more information, see Configure Replication Zones.

See Also

• Production Checklist
• Manual Deployment
• Orchestrated Deployment
• Monitoring and Alerting
• Local Deployment

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