Take Full and Incremental Backups

On this page

Because CockroachDB is designed with high fault tolerance, backups are primarily needed for disaster recovery (i.e., if your cluster loses a majority of its nodes). Isolated issues (such as small-scale node outages) do not require any intervention. However, as an operational best practice, we recommend taking regular backups of your data.

There are two main types of backups:

• Full backups
• Incremental backups

You can use the BACKUP statement to efficiently back up your cluster's schemas and data to popular cloud services such as AWS S3, Google Cloud Storage, or NFS, and the RESTORE statement to efficiently restore schema and data as necessary. For more information, see Use Cloud Storage.

Supported products

The feature described on this page is available in CockroachDB Basic, CockroachDB Standard, CockroachDB Advanced, and CockroachDB self-hosted clusters when you are running self-managed backups. For a full list of features, refer to Backup and restore product support.

Backup collections

A backup collection defines a set of backups and their metadata. The collection can contain multiple full backups and their subsequent incremental backups. The path to a backup is created using a date-based naming scheme and stored at the collection URI passed with the BACKUP statement.

There are some specific cases where part of the collection data is stored at a different URI:

• A locality-aware backup. The backup collection will be stored according to the URIs passed with the BACKUP statement: BACKUP INTO LATEST IN {collectionURI}, {localityURI}, {localityURI}. Here, the collectionURI represents the default locality.
• As of v22.1, it is possible to store incremental backups at a different URI to the related full backup. This means that one or multiple storage locations can hold one backup collection.

By default, full backups are stored at the root of the collection's URI in a date-based path, and incremental backups are stored in the /incrementals directory. The following example shows a backup collection created using these default values, where all backups reside in one storage bucket:

Collection URI:
|—— 2022
  |—— 02
    |—— 09-155340.13/
      |—— Full backup files
[...]
|—— incrementals
  |—— 2022
  |—— 02
    |—— 25-172907.21/
      |—— 20220325
        |—— 17921.23
          |—— incremental backup files

SHOW BACKUPS IN {collectionURI} will display a list of the full backup subdirectories at the collection's URI.

Alternately, the following directories also constitute a backup collection. There are multiple backups in two separate URIs. Each individual backup is a full backup and its related incremental backup(s). Despite using the incremental_location option to store the incremental backup in an alternative location, that incremental backup is still part of this backup collection as it depends on the full backup in the first cloud storage bucket:

Collection URI
|—— 2022
  |—— 02
    |—— 09-155340.13/
      |—— Full backup files
      |—— 20220210/
        |—— 155530.50/
        |—— 16-143018.72/
          |—— Full backup files
|—— incrementals
  |—— 2022
  |—— 02
    |—— 25-172907.21/
      |—— 20220325
        |—— 17921.23
          |—— incremental backup files

Explicit Incrementals URI
|—— 2022
  |—— 02
    |—— 25-172907.21/
      |—— 20220325
        |—— 17921.23
          |—— incremental_location backup files

In the examples on this page, {collectionURI} is a placeholder for the storage location that will contain the example backup.

You will encounter an error if you run multiple backup collections to the same storage URI. Each collection's URI must be unique.

For example, if you have a backup schedule running backups for the database users the full backup and incremental backup should have the same storage URI for the full and incremental schedule. (CREATE SCHEDULE FOR BACKUP will automatically create two schedules for the full and incremental backup to the same storage URI.) If there is another backup schedule, for the database accounts, the full and incremental backups for accounts should have the same storage URI. However, the storage URI for the accounts backup collection should be different to the storage URI for the users backup collection.

Full backups

Full backups are now available to both core and Enterprise users.

Full backups contain an un-replicated copy of your data and can always be used to restore your cluster. These files are roughly the size of your data and require greater resources to produce than incremental backups. You can take full backups as of a given timestamp. Optionally, you can include the available revision history in the backup.

In most cases, it's recommended to take nightly full backups of your cluster. A cluster backup allows you to do the following:

• Restore table(s) from the cluster
• Restore database(s) from the cluster
• Restore a full cluster

Full cluster backups include Enterprise license keys. When you restore a full cluster backup that includes Enterprise license, the Enterprise license is also restored.

Take a full backup

To perform a full cluster backup, use the BACKUP statement:

BACKUP INTO '{collectionURI}';

To restore a backup, use the RESTORE statement, specifying what you want to restore as well as the collection's URI:

• To restore the latest backup of a table:

  RESTORE TABLE bank.customers FROM LATEST IN '{collectionURI}';
  

• To restore the latest backup of a database:

  RESTORE DATABASE bank FROM LATEST IN '{collectionURI}';
  

• To restore the latest backup of your full cluster:

  RESTORE FROM LATEST IN '{collectionURI}';
  

  Note:

  A full cluster restore can only be run on a target cluster that has never had user-created databases or tables.

• To restore a backup from a specific subdirectory:

  RESTORE DATABASE bank FROM {subdirectory} IN '{collectionURI}';
  

To view the available backup subdirectories, use SHOW BACKUPS.

Incremental backups

If your cluster grows too large for daily full backups, you can take less frequent full backups (e.g., weekly) with daily incremental backups. Incremental backups are storage efficient and faster than full backups for larger clusters.

If you are taking backups on a regular cadence, we recommend creating a schedule for your backups.

Recommendations for incremental backup frequency

Incremental backups form chains between full backups. Each incremental backup contains only the data that has changed since a base set of backups. This base set of backups must include one full backup and can include many incremental backups, which are smaller and faster to produce than full backups. You can take incremental backups either as of a given timestamp or with full revision history.

Cockroach Labs recommends taking incremental backups every 10 minutes. CockroachDB supports up to 400 incremental backups between full backups. This may vary based on your specific use-case, so we recommend testing within your own environment and workloads. This can look like:

• A full backup taken daily with incrementals taken every hour for a total of 24 incremental backups.
• A full backup taken daily with incrementals taken every 10 minutes for a total of 144 incremental backups.
• A full backup taken daily with incrementals taken every 5 minutes for a total of 288 incremental backups.
• A full backup taken weekly with incrementals taken every hour for a total of 168 incremental backups.
• A full backup taken weekly with incrementals taken every 30 minutes for a total of 336 incremental backups.

Garbage collection and backups

Incremental backups with revision history are created by finding what data has been created, deleted, or modified since the timestamp of the last backup in the chain of backups. For the first incremental backup in a chain, this timestamp corresponds to the timestamp of the base (full) backup. For subsequent incremental backups, this timestamp is the timestamp of the previous incremental backup in the chain.

Garbage collection Time to Live (GC TTL) determines the period for which CockroachDB retains revisions of a key. If the GC TTL of the backup's target is shorter than the frequency at which you take incremental backups with revision history, then the revisions become susceptible to garbage collection before you have backed them up. This will cause the incremental backup with revision history to fail.

We recommend configuring the garbage collection period to be at least the frequency of incremental backups and ideally with a buffer to account for slowdowns. You can configure garbage collection periods using the ttlseconds replication zone setting.

If an incremental backup is created outside of the garbage collection period, you will receive a protected ts verification error…. To resolve this issue, see the Common Errors page.

Take an incremental backup

Periodically run the BACKUP command to take a full backup of your cluster:

> BACKUP INTO '{collectionURI}';

Then, create nightly incremental backups based off of the full backups you've already created. To append an incremental backup to the most recent full backup created at the collection's URI, use the LATEST syntax:

> BACKUP INTO LATEST IN '{collectionURI}';

This will add the incremental backup to the default /incrementals directory at the root of the backup collection's directory. With incremental backups in the /incrementals directory, you can apply different lifecycle/retention policies from cloud storage providers to the /incrementals directory as needed.

If it's ever necessary, you can then use the RESTORE statement to restore your cluster, database(s), and/or table(s). Restoring from incremental backups requires previous full and incremental backups.

To restore from the latest backup in the collection, stored in the default /incrementals collection subdirectory, run:

RESTORE FROM LATEST IN '{collectionURI}';

To restore from a specific backup in the collection:

RESTORE FROM '{subdirectory}' IN '{collectionURI}';

For example:

RESTORE FROM '2023/03/23-213101.37' IN 's3://bucket/path?AUTH=implicit';

When you restore from an incremental backup, you're restoring the entire table, database, or cluster. CockroachDB uses both the latest (or a specific) incremental backup and the full backup during this process. You cannot restore an incremental backup without a full backup. Furthermore, it is not possible to restore over a table, database, or cluster with existing data. Refer to Restore types for detail on the types of backups you can restore.

Incremental backups with explicitly specified destinations

To explicitly control where your incremental backups go, use the incremental_location option. By default, incremental backups are stored in the /incrementals subdirectory at the root of the collection. However, there are some advanced cases where you may want to store incremental backups in a different storage location.

In the following examples, the {collectionURI} specifies the storage location containing the full backup. The {explicit_incrementalsURI} is the alternative location that you can store an incremental backup:

BACKUP INTO LATEST IN '{collectionURI}' AS OF SYSTEM TIME '-10s' WITH incremental_location = '{explicit_incrementalsURI}';

Although the incremental backup will be in a different storage location, it is still part of the logical backup collection.

A full backup must be present in the {collectionURI} in order to take an incremental backup to the alternative {explicit_incrementalsURI}. If there isn't a full backup present in {collectionURI} when taking an incremental backup with incremental_location, the error path does not contain a completed latest backup will be returned.

For details on the backup directory structure when taking incremental backups with incremental_location, see this incremental location directory structure example.

To take incremental backups that are stored in the same way as v21.2 and earlier, you can use the incremental_location option. You can specify the same collectionURI with incremental_location and the backup will place the incremental backups in a date-based path under the full backup, rather than in the default /incrementals directory:

BACKUP INTO LATEST IN '{collectionURI}' AS OF SYSTEM TIME '-10s' WITH incremental_location = '{collectionURI}';

When you append incrementals to this backup, they will continue to be stored in a date-based path under the full backup.

To restore an incremental backup that was taken using the incremental_location option, you must run RESTORE with the full backup's location and the incremental_location option referencing the location passed in the original BACKUP statement:

RESTORE TABLE movr.users FROM LATEST IN '{collectionURI}' WITH incremental_location = '{explicit_incrementalsURI}';

For details on cloud storage URLs, see Use Cloud Storage.

Examples

The examples in this section use one of the following storage URIs:

• External connections, which allow you to represent an external storage or sink URI. You can then specify the external connection's name in statements rather than the provider-specific URI. For detail on using external connections, see the CREATE EXTERNAL CONNECTION page.
• Amazon S3 connection strings with the default AUTH=specified parameter. For guidance on using AUTH=implicit authentication with Amazon S3 buckets instead, read Cloud Storage Authentication.

For guidance on connecting to other storage options or using other authentication parameters instead, read Use Cloud Storage.

Scheduled backups

You can use CREATE SCHEDULE FOR BACKUP to set a recurring schedule for full and incremental backups. To create a schedule that includes incremental backups, you must have an Enterprise license.

Include the FULL BACKUP ALWAYS clause for a schedule to take only full backups. For example, to create a schedule for taking full cluster backups:

CREATE SCHEDULE core_schedule_label
    FOR BACKUP INTO 's3://{BUCKET NAME}/{PATH}?AWS_ACCESS_KEY_ID={KEY ID}&AWS_SECRET_ACCESS_KEY={SECRET ACCESS KEY}'
    RECURRING '@daily'
    FULL BACKUP ALWAYS
    WITH SCHEDULE OPTIONS first_run = 'now';

     schedule_id     |        name         | status |         first_run         | schedule |                                                                                       backup_stmt
---------------------+---------------------+--------+---------------------------+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
  588799238330220545 | core_schedule_label | ACTIVE | 2020-09-11 00:00:00+00:00 | @daily   | BACKUP INTO 's3://{BUCKET NAME}/{PATH}?AWS_ACCESS_KEY_ID={KEY ID}&AWS_SECRET_ACCESS_KEY={SECRET ACCESS KEY}' WITH detached
(1 row)

For more examples on how to schedule backups that take full and incremental backups, refer to CREATE SCHEDULE FOR BACKUP.

Exclude a table's data from backups

In some situations, you may want to exclude a table's row data from a backup. For example, you have a table that contains high-churn data that you would like to garbage collect more quickly than the incremental backup schedule for the database or cluster holding the table. You can use the exclude_data_from_backup = true parameter with a CREATE TABLE or ALTER TABLE statement to mark a table's row data for exclusion from a backup.

It is important to note that the backup produced contains an empty table with the data excluded. The backup process does not attempt to contact the KV storage layer ranges to retrieve data when exclude_data_from_backup = true. Thus, backups will continue to succeed even when some ranges or regions are unavailable, if and only if, the unavailable ranges are in tables excluded from the backups.

Setting this parameter prevents the cluster or database backup from delaying GC TTL on the key span for this table, and it also respects the configured GC TTL. This is useful when you want to set a shorter garbage collection window for tables containing high-churn data to avoid an accumulation of unnecessary data and improves the reliability in partially unavailable clusters.

Using the movr database as an example:

SHOW TABLES;

schema_name |         table_name         | type  | owner | estimated_row_count | locality
--------------+----------------------------+-------+-------+---------------------+-----------
public      | promo_codes                | table | root  |                1021 | NULL
public      | rides                      | table | root  |                 730 | NULL
public      | user_promo_codes           | table | root  |                  58 | NULL
public      | users                      | table | root  |                 211 | NULL
public      | vehicle_location_histories | table | root  |               10722 | NULL
public      | vehicles                   | table | root  |                  69 | NULL

If the user_promo_codes table's data does not need to be included in future backups, you can run the following to exclude the table's row data:

ALTER TABLE movr.user_promo_codes SET (exclude_data_from_backup = true);

Then back up the movr database:

BACKUP DATABASE movr INTO 's3://{BUCKET NAME}/{PATH}?AWS_ACCESS_KEY_ID={KEY ID}&AWS_SECRET_ACCESS_KEY={SECRET ACCESS KEY}' AS OF SYSTEM TIME '-10s';

Restore the database with a new name:

RESTORE DATABASE movr FROM LATEST IN 's3://{BUCKET NAME}/{PATH}?AWS_ACCESS_KEY_ID={KEY ID}&AWS_SECRET_ACCESS_KEY={SECRET ACCESS KEY}' WITH new_db_name = new_movr;

Move to the new database:

USE new_movr;

You'll find that the table schema is restored:

SHOW CREATE user_promo_codes;

table_name    |                                                create_statement
-------------------+------------------------------------------------------------------------------------------------------------------
user_promo_codes | CREATE TABLE public.user_promo_codes (
              |     city VARCHAR NOT NULL,
              |     user_id UUID NOT NULL,
              |     code VARCHAR NOT NULL,
              |     "timestamp" TIMESTAMP NULL,
              |     usage_count INT8 NULL,
              |     CONSTRAINT user_promo_codes_pkey PRIMARY KEY (city ASC, user_id ASC, code ASC),
              |     CONSTRAINT user_promo_codes_city_user_id_fkey FOREIGN KEY (city, user_id) REFERENCES public.users(city, id)
              | ) WITH (exclude_data_from_backup = true)

However, the user_promo_codes table has no row data:

SELECT * FROM user_promo_codes;

city | user_id | code | timestamp | usage_count
-----+---------+------+-----------+--------------
(0 rows)

To create a table with exclude_data_from_backup, see Create a table with data excluded from backup.

Advanced examples

For examples of advanced BACKUP and RESTORE use cases, see:

• Incremental backups with a specified destination
• Backup with revision history and point-in-time restore
• Locality-aware backup and restore
• Encrypted backup and restore
• Restore into a different database
• Remove the foreign key before restore
• Restoring users from system.users backup
• Show an incremental backup at a different location
• Exclude a table's data from backups

See also

• BACKUP
• RESTORE
• Take and Restore Encrypted Backups
• Take and Restore Locality-aware Backups
• Take Backups with Revision History and Restore from a Point-in-time
• Use the Built-in SQL Client
• cockroach Commands Overview
• Expire Past Backups

Was this helpful?