- Read and write latency must be low.
- Rows in the table, and all latency-sensitive queries, can be tied to specific regions.
--max-offset setting to 250ms. This setting is especially helpful for lowering the write latency of global tables. Nodes can run with different values for --max-offset, but only for the purpose of updating the setting across the cluster using a rolling upgrade.
Before you begin
Fundamentals
Multi-region patterns require thinking about the following questions:- What are your survival goals? Do you need to survive a zone failure? Do you need to survive a region failure?
- What are the table localities that will provide the performance characteristics you need for each table’s data?
- Do you need low-latency reads and writes from a single region? Do you need that single region to be configurable at the row level? Or will a single optimized region for the entire table suffice?
- Do you have a “read-mostly” table of reference data that is rarely updated, but that must be read with low latency from all regions?
- Multi-Region Capabilities Overview
- How to Choose a Multi-Region Configuration
- When to use
ZONEvs.REGIONSurvival Goals - When to use
REGIONALvs.GLOBALTables
- The concept of locality, which CockroachDB uses to place and balance data based on how you define survival goal and table locality settings.
- The recommendations in our Production Checklist, including our hardware recommendations. Afterwards, perform a proof of concept to size hardware for your use case.
- SQL Performance Best Practices
Cluster setup
Each multi-region pattern assumes the following setup:
Hardware
- 3 regions
- Per region, 3+ AZs with 3+ VMs evenly distributed across them
- Region-specific app instances and load balancers
- Each load balancer redirects to CockroachDB nodes in its region.
- When CockroachDB nodes are unavailable in a region, the load balancer redirects to nodes in other regions.
Cluster startup
Start each node with the--locality flag specifying its region and AZ combination. For example, the following command starts a node in the west1 AZ of the us-west region:
Configuration
Summary
To use this pattern, set the table locality to eitherREGIONAL BY TABLE or REGIONAL BY ROW.
Regional tables
In a regional table, access to the table will be fast in the table’s home region and slower in other regions. In other words, CockroachDB optimizes access to data in a regional table from a single region. By default, a regional table’s home region is the database’s primary region, but that can be changed to use any region in the database. Regional tables work well when your application requires low-latency reads and writes for an entire table from a single region. For instructions showing how to set a table’s locality toREGIONAL BY TABLE and configure its home region, see ALTER TABLE ... SET LOCALITY.
By default, all tables in a multi-region database are regional tables that use the database’s primary region. Unless you know your application needs different performance characteristics than regional tables provide, there is no need to change this setting.
Regional by row tables
In a regional by row table, individual rows are optimized for access from different home regions. Each row’s home region is specified in a hiddencrdb_region column, and is by default the region of the gateway node from which the row is inserted. The REGIONAL BY ROW setting automatically divides a table and all of its indexes into partitions that use crdb_region as the prefix.
Use regional by row tables when your application requires low-latency reads and writes at a row level where individual rows are primarily accessed from a single region. For an example of a table in a multi-region cluster that can benefit from the REGIONAL BY ROW setting, see the users table from the MovR application, which could store users’ data in specific regions for better performance.
To take advantage of regional by row tables:
-
Use unique key lookups or queries with
LIMITclauses to enable locality optimized searches that prioritize rows in the gateway node’s region. If there is a possibility that the results of the query all live in local rows, CockroachDB will first search for rows in the gateway node’s region. The search only continues in remote regions if rows in the local region did not satisfy the query. -
Use foreign keys that reference the
crdb_regioncolumn inREGIONAL BY ROWtables, unless auto-rehoming is enabled for those tables. -
Turn on auto-rehoming for regional by row tables. A row’s home region will be automatically set to the gateway region of any
UPDATEorUPSERTstatements that write to those rows.
REGIONAL BY ROW and configure the home regions of its rows, see ALTER TABLE ... SET LOCALITY.
For more information on regional by row tables, see the Cockroach Labs blog post.
Secondary regions are not compatible with databases containing REGIONAL BY ROW tables. CockroachDB does not prevent you from defining secondary regions on databases with regional by row tables, but the interaction of these features is not supported.
Therefore, Cockroach Labs recommends that you avoid defining secondary regions on databases that use regional by row table configurations.
Steps
By default, all tables in a multi-region database are regional tables. Therefore, the steps below show how to set up regional by row tables.
-
Create a database and set it as the default database:
This cluster is already deployed across three regions. Therefore, to make this database a “multi-region database”, issue the following SQL statement to set the primary region:
Every multi-region database must have a primary region. For more information, see Database regions.
-
Issue the following
ADD REGIONstatements to add the remaining regions to the database: -
Create a
userstable:By default, all tables in a multi-region cluster default to theREGIONAL BY TABLElocality setting. To verify this, issue aSHOW CREATEon theuserstable you just created: -
Set the table’s locality to
REGIONAL BY ROWusing theALTER TABLE ... SET LOCALITYstatement: -
Identify which rows need to be optimized for access from which regions. Issue
UPDATEstatements that modify the automatically createdcrdb_regioncolumn. Issue the statements below to associate each row with a home region that depends on itscitycolumn:By default, the region column will get auto-assigned on insert; this is also known as “auto-homing”. For more information about how thecrdb_regioncolumn works, seeALTER TABLE ... SET LOCALITY REGIONAL BY ROW.
Characteristics
Latency
ForREGIONAL BY TABLE tables, you get low latency for single-region writes and reads, as well as multi-region stale reads.
For REGIONAL BY ROW tables, you get low-latency consistent multi-region reads & writes for rows which are homed in specific regions, and low-latency multi-region stale reads from all other regions.
Resiliency
Because thetest database does not specify a survival goal, it uses the default ZONE survival goal. With the default settings, an entire availability zone (AZ) can fail without interrupting access to the database.
For more information about how to choose a database survival goal, see When to use ZONE vs. REGION survival goals.
Alternatives
- If rows in the table cannot be tied to specific geographies, reads must be up-to-date for business reasons or because the table is referenced by foreign keys, and the table is rarely modified, consider the
GLOBALTable Locality Pattern. - If your application can tolerate historical reads in some cases, consider the Follower Reads pattern.
Tutorial
For a step-by-step demonstration showing how CockroachDB’s multi-region capabilities (includingREGIONAL BY ROW tables) give you low-latency reads in a distributed cluster, see the tutorial on Low Latency Reads and Writes in a Multi-Region Cluster.
See also
- Multi-Region Capabilities Overview
- How to Choose a Multi-Region Configuration
- When to Use
ZONEvs.REGIONSurvival Goals - When to Use
REGIONALvs.GLOBALTables - Low Latency Reads and Writes in a Multi-Region Cluster
- Migrate to Multi-Region SQL
- Secondary regions
ALTER DATABASE ... SET SECONDARY REGIONALTER DATABASE ... DROP SECONDARY REGION- Topology Patterns Overview
- Single-region patterns
- Multi-region patterns

