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This page shows you how to manually deploy an insecure multi-node CockroachDB cluster on Amazon’s AWS EC2 platform, using AWS’s managed load balancing service to distribute client traffic.
The --insecure flag used in this tutorial is intended for non-production testing only. To run CockroachDB in production, use a secure cluster instead.
To try CockroachDB Cloud instead of running CockroachDB yourself, refer to the .

Before you begin

Requirements

  • 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 DB Console
  • Carefully review the and recommended .
  • Do not run multiple node processes on the same VM or machine. This defeats CockroachDB’s replication and causes the system to be a single point of failure. Instead, start each node on a separate VM or machine.
  • To start a node with multiple disks or SSDs, provide a separate --store flag for each disk when starting the cockroach process on the node. For more details about stores, see . If you start a node with multiple --store flags, it is not possible to scale back down to only using a single store on the node. Instead, you must decommission the node and start a new node with the updated --store.
  • When starting each node, use the flag to describe the node’s location, for example, --locality=region=west,zone=us-west-1. The key-value pairs should be ordered from most to least inclusive, and the keys and order of key-value pairs must be the same on all nodes.
  • When deploying in a single availability zone:
    • To be able to tolerate the failure of any 1 node, use at least 3 nodes with the . In this case, if 1 node fails, each range retains 2 of its 3 replicas, a majority.
    • To be able to tolerate 2 simultaneous node failures, use at least 5 nodes and to 5. The replication factor for is 5 by default, so no adjustments are needed for internal data. In this case, if 2 nodes fail at the same time, each range retains 3 of its 5 replicas, a majority.
  • When deploying across multiple availability zones:
    • To be able to tolerate the failure of 1 entire AZ in a region, use at least 3 AZs per region and set --locality on each node to spread data evenly across regions and AZs. In this case, if 1 AZ goes offline, the 2 remaining AZs retain a majority of replicas.
    • To ensure that ranges are split evenly across nodes, use the same number of nodes in each AZ. This is to avoid overloading any nodes with excessive resource consumption.
  • When deploying across multiple regions:
    • To be able to tolerate the failure of 1 entire region, use at least 3 regions.

Recommendations

  • Consider using a instead. Using an insecure cluster comes with risks:
    • Your cluster is open to any client that can access any node’s IP addresses.
    • Any user, even root, can log in without providing a password.
    • Any user, connecting as root, can read or write any data in your cluster.
    • There is no network encryption or authentication, and thus no confidentiality.
  • Decide how you want to access your DB Console:
  • All Amazon EC2 instances running CockroachDB should be members of the same security group.

Step 1. Create instances

Open the Amazon EC2 console and launch an instance for each node you plan to have in your cluster. If you plan to run our sample workload against the cluster, create a separate instance for that workload.
  • Run at least 3 nodes to ensure survivability.
  • Your instances will rely on Amazon Time Sync Service for clock synchronization. When choosing an AMI, note that some machines are preconfigured to use Amazon Time Sync Service (e.g., Amazon Linux AMIs) and others are not.
  • Use m5 instances, ranging from m5.xlarge to m5.8xlarge, with SSD-backed EBS volumes. To simulate bare-metal deployments, use m5d with SSD Instance Store volumes. m5a, m6i, and m6a instances are also acceptable.
  • Note the ID of the VPC you select. You will need to look up its IP range when setting inbound rules for your security group.
  • Make sure all your instances are in the same security group.
    • If you are creating a new security group, add the inbound rules from the next step. Otherwise note the ID of the security group.
For more details, see and .

Step 2. Configure your network

Add Custom TCP inbound rules to your security group to allow TCP communication on two ports:
  • 26257 for inter-node and client-node communication. This enables the nodes to work as a cluster, the load balancer to route traffic to the nodes, and applications to connect to the load balancer.
  • 8080 for exposing the DB Console to the user, and for routing the load balancer to the health check endpoint.

Inter-node and load balancer-node communication

Application data

DB Console

You can set your network IP by selecting “My IP” in the Source field.

Load balancer-health check communication

To get the IP range of a VPC, open the Amazon VPC console and find the VPC listed in the section called Your VPCs.

Step 3. Synchronize clocks

CockroachDB requires moderate levels of 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. Amazon provides the Amazon Time Sync Service, which uses a fleet of satellite-connected and atomic reference clocks in each AWS Region to deliver accurate current time readings. The service also smears the leap second.
  • Configure each AWS instance to use the internal Amazon Time Sync Service.
    • Per the above instructions, ensure that etc/chrony.conf on the instance contains the line server 169.254.169.123 prefer iburst minpoll 4 maxpoll 4 and that other server or pool lines are commented out.
    • To verify that Amazon Time Sync Service is being used, run chronyc sources -v and check for a line containing * 169.254.169.123. The * denotes the preferred time server.
  • If you plan to run a hybrid cluster across GCE and other cloud providers or environments, note that all of the nodes must be synced to the same time source, or to different sources that implement leap second smearing in the same way. See the for details.

Step 4. Set up load balancing

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.
AWS offers fully-managed load balancing to distribute traffic between instances.
  1. Add AWS load balancing. Be sure to:
    • Select a Network Load Balancer and use the ports we specify below.
    • Select the VPC and all availability zones of your instances. This is important, as you cannot change the availability zones once the load balancer is created. The availability zone of an instance is determined by its subnet, found by inspecting the instance in the Amazon EC2 Console.
    • Set the load balancer port to 26257.
    • Create a new target group that uses TCP port 26257. Traffic from your load balancer is routed to this target group, which contains your instances.
    • Configure health checks to use HTTP port 8080 and path /health?ready=1. This ensures that load balancers do not direct traffic to nodes that are live but not ready to receive requests.
    • Register your instances with the target group you created, specifying port 26257. You can add and remove instances later.
  2. To test load balancing and connect your application to the cluster, you will need the provisioned internal (private) IP address for the load balancer. To find this, open the Network Interfaces section of the Amazon EC2 console and look up the load balancer by its name.
If you would prefer to use HAProxy instead of AWS’s managed load balancing, see the tutorial for guidance.

Step 5. Start nodes

You can start the nodes manually or automate the process using systemd. For each initial node of your cluster, complete the following steps:
After completing these steps, nodes will not yet be live. They will complete the startup process and join together to form a cluster as soon as the cluster is initialized in the next step.
  1. Visit and download the full binary of CockroachDB to the node.
  2. On the node, follow the instructions to .
  3. Run the command:
    This command primes the node to start, using the following flags:
When deploying across multiple datacenters, or when there is otherwise high latency between nodes, it is recommended to set --locality as well. It is also required to use certain enterprise features. For more details, see . For other flags not explicitly set, the command uses default values. For example, the node stores data in --store=cockroach-data and binds DB Console HTTP requests to --http-addr=localhost:8080. To set these options manually, see . 4. Repeat these steps for each additional node that you want in your cluster. For each initial node of your cluster, complete the following steps: After completing these steps, nodes will not yet be live. They will complete the startup process and join together to form a cluster as soon as the cluster is initialized in the next step.
  1. SSH to the machine where you want the node to run. Ensure you are logged in as the root user.
  2. .
  3. Create the Cockroach directory:
  4. Create a Unix user named cockroach:
  5. Change the ownership of the cockroach directory to the user cockroach:
  6. Download the sample configuration template and save the file in the /etc/systemd/system/ directory:
    Alternatively, you can create the file yourself and copy the script into it:
Previously, the sample configuration file set TimeoutStopSec to 60 seconds. This recommendation has been lengthened to 300 seconds, to give the cockroach process more time to stop gracefully.
  1. In the sample configuration template, specify values for the following flags:
When deploying across multiple datacenters, or when there is otherwise high latency between nodes, it is recommended to set --locality as well. It is also required to use certain enterprise features. For more details, see . For other flags not explicitly set, the command uses default values. For example, the node stores data in --store=cockroach-data and binds DB Console HTTP requests to --http-port=8080. To set these options manually, see . 8. Start the CockroachDB cluster:
  1. Configure systemd to start CockroachDB automatically after a reboot:
  2. Repeat these steps for each additional node that you want in your cluster.
systemd handles node restarts in case of node failure. To stop a node without systemd restarting it, run systemctl stop insecurecockroachdb

Step 6. Initialize the cluster

On your local machine, complete the node startup process and have them join together as a cluster:
  1. on your local machine, if you haven’t already.
  2. Run the command, with the --host flag set to the address of any node:
    Each node then prints helpful details to the , such as the CockroachDB version, the URL for the DB Console, and the SQL URL for clients.

Step 7. Test the cluster

CockroachDB replicates and distributes data behind-the-scenes and uses a Gossip protocol to enable each node to locate data across the cluster. Once a cluster is live, any node can be used as a SQL gateway. When using a load balancer, you should issue commands directly to the load balancer, which then routes traffic to the nodes. Use the locally as follows:
  1. On your local machine, launch the built-in SQL client, with the --host flag set to the address of the load balancer:
  2. Create an insecurenodetest database:
  3. View the cluster’s databases, which will include insecurenodetest:
  4. Use \q to exit the SQL shell.

Step 8. Run a sample workload

CockroachDB comes with a number of for simulating client traffic. This step features CockroachDB’s version of the TPC-C workload.
Be sure that you have configured your network to allow traffic from the application to the load balancer. In this case, you will run the sample workload on one of your machines. The traffic source should therefore be the internal (private) IP address of that machine.
For comprehensive guidance on benchmarking CockroachDB with TPC-C, see .
  1. SSH to the machine where you want the run the sample TPC-C workload. This should be a machine that is not running a CockroachDB node.
  2. .
  3. Use the command to load the initial schema and data, pointing it at the IP address of the load balancer:
  4. Use the cockroach workload command to run the workload for 10 minutes:
    You’ll see per-operation statistics print to standard output every second:
    After the specified duration (10 minutes in this case), the workload will stop and you’ll see totals printed to standard output:
For more tpcc options, use cockroach workload run tpcc --help. For details about other workloads built into the cockroach binary, use cockroach workload --help.
  1. To monitor the load generator’s progress, open the by pointing a browser to the address in the admin field in the standard output of any node on startup. Since the load generator is pointed at the load balancer, the connections will be evenly distributed across nodes. To verify this, click Metrics on the left, select the SQL dashboard, and then check the SQL Connections graph. You can use the Graph menu to filter the graph for specific nodes.

Step 9. Monitor the cluster

In the Target Groups section of the Amazon EC2 console, check the health of your instances by inspecting your target group and opening the Targets tab. Despite CockroachDB’s various , 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 .

Step 10. Scale the cluster

Before adding a new node, create a new instance as you did earlier. You can start the nodes manually or automate the process using systemd. For each additional node you want to add to the cluster, complete the following steps:
  1. SSH to the machine where you want the node to run.
  2. .
  3. Run the command, passing the new node’s address as the --advertise-addr flag and pointing --join to the three existing nodes (also include --locality if you set it earlier).
  4. Update your load balancer to recognize the new node.
For each additional node you want to add to the cluster, complete the following steps:
  1. SSH to the machine where you want the node to run. Ensure you are logged in as the root user.
  2. .
  3. Create the Cockroach directory:
  4. Create a Unix user named cockroach:
  5. Change the ownership of the cockroach directory to the user cockroach:
  6. Download the sample configuration template:
    Alternatively, you can create the file yourself and copy the script into it:
    Previously, the sample configuration file set TimeoutStopSec to 60 seconds. This recommendation has been lengthened to 300 seconds, to give the cockroach process more time to stop gracefully. Save the file in the /etc/systemd/system/ directory
  7. Customize the sample configuration template for your deployment: Specify values for the following flags in the sample configuration template:
  1. Repeat these steps for each additional node that you want in your cluster.

Step 11. Use the cluster

Now that your deployment is working, you can:
  1. .
  2. and .
  3. . Be sure to connect your application to the AWS load balancer, not to a CockroachDB node.

See also