CockroachDB Feature Availability

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Some CockroachDB features are made available in phases prior to being launched in general availability (GA). This page defines the different levels of CockroachDB v22.2 feature availability and lists the features in each phase.

Feature availability phases

Features in limited access

Features in limited access

CockroachDB Dedicated on Azure

Deploying CockroachDB Dedicated clusters on Azure is in limited access. To express interest and try it out, contact Support.

AWS PrivateLink for CockroachDB Serverless

Connecting privately to a multi-region CockroachDB Serverless cluster using AWS PrivateLink is in limited access. This can help your organization meet its security requirements and reduce your cluster's exposure to public networks. To express interest and try it out, contact Support.

CockroachDB Cloud Folders

Organizing CockroachDB Cloud clusters using folders is in limited access. Folders allow you to organize and manage access to your clusters according to your organization's requirements. For example, you can create top-level folders for each business unit in your organization, and within those folders, organize clusters by geographic location and then by level of maturity, such as production, staging, and testing. To express interest and try it out, contact Support.

Features in preview

cockroach commands

The table below lists the cockroach commands available in preview in CockroachDB.

SESSIONS channel

The SESSIONS channel logs SQL session events. This includes client connection and session authentication events, for which logging must be enabled separately. For complete logging of client connections, we recommend enabling both types of events.

Super regions

Super regions allow you to define a set of database regions such that schema objects will have all of their replicas stored only in regions that are members of the super region. The primary use case for super regions is data domiciling.

Export metrics from CockroachDB Dedicated clusters

CockroachDB Dedicated users can use the Cloud API to configure metrics export to AWS CloudWatch or Datadog. Once the export is configured, metrics will flow from all nodes in all regions of your CockroachDB Dedicated cluster to your chosen cloud metrics sink.

Keep SQL audit logs

Log all queries against a table to a file, for security purposes. For more information, see ALTER TABLE ... EXPERIMENTAL_AUDIT.

> ALTER TABLE t EXPERIMENTAL_AUDIT SET READ WRITE;

Show table fingerprints

Table fingerprints are used to compute an identification string of an entire table, for the purpose of gauging whether two tables have the same data. This is useful, for example, when restoring a table from backup.

Example:

> SHOW EXPERIMENTAL_FINGERPRINTS FROM TABLE t;

 index_name |     fingerprint
------------+---------------------
 primary    | 1999042440040364641
(1 row)

Turn on KV event tracing

Use session tracing (via SHOW TRACE FOR SESSION) to report the replicas of all KV events that occur during its execution.

Example:

> SET tracing = on;
> SELECT * from t;
> SET tracing = off;
> SHOW EXPERIMENTAL_REPLICA TRACE FOR SESSION;

            timestamp             | node_id | store_id | replica_id
----------------------------------+---------+----------+------------
 2018-10-18 15:50:13.345879+00:00 |       3 |        3 |          7
 2018-10-18 15:50:20.628383+00:00 |       2 |        2 |         26

Check for constraint violations with SCRUB

Checks the consistency of UNIQUE indexes, CHECK constraints, and more. Partially implemented; see cockroachdb/cockroach#10425 for details.

>  EXPERIMENTAL SCRUB table movr.users;

 job_uuid |        error_type        | database | table |                       primary_key                        |         timestamp         | repaired |                                                                                                                                                                         details
----------+--------------------------+----------+-------+----------------------------------------------------------+---------------------------+----------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
          | index_key_decoding_error | movr     | users | ('boston','0009eeb5-d779-4bf8-b1bd-8566533b105c')        | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'06484 Christine Villages\\nGrantport, TN 01572'", "city": "'boston'", "credit_card": "'4634253150884'", "id": "'0009eeb5-d779-4bf8-b1bd-8566533b105c'", "name": "'Jessica Webb'"}}
          | index_key_decoding_error | movr     | users | ('los angeles','0001252c-fc16-4006-b6dc-c6b1a0fd1f5b')   | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'91309 Warner Springs\\nLake Danielmouth, PR 33400'", "city": "'los angeles'", "credit_card": "'3584736360686445'", "id": "'0001252c-fc16-4006-b6dc-c6b1a0fd1f5b'", "name": "'Rebecca Gibson'"}}
          | index_key_decoding_error | movr     | users | ('new york','000169a5-e337-4441-b664-dae63e682980')      | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'0787 Christopher Highway Apt. 363\\nHamptonmouth, TX 91864-2620'", "city": "'new york'", "credit_card": "'4578562547256688'", "id": "'000169a5-e337-4441-b664-dae63e682980'", "name": "'Christopher Johnson'"}}
          | index_key_decoding_error | movr     | users | ('paris','00089fc4-e5b1-48f6-9f0b-409905f228c4')         | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'46735 Martin Summit\\nMichaelview, OH 10906-5889'", "city": "'paris'", "credit_card": "'5102207609888778'", "id": "'00089fc4-e5b1-48f6-9f0b-409905f228c4'", "name": "'Nicole Fuller'"}}
          | index_key_decoding_error | movr     | users | ('rome','000209fc-69a1-4dd5-8053-3b5e5769876d')          | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'473 Barrera Vista Apt. 890\\nYeseniaburgh, CO 78087'", "city": "'rome'", "credit_card": "'3534605564661093'", "id": "'000209fc-69a1-4dd5-8053-3b5e5769876d'", "name": "'Sheryl Shea'"}}
          | index_key_decoding_error | movr     | users | ('san francisco','00058767-1e83-4e18-999f-13b5a74d7225') | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'5664 Acevedo Drive Suite 829\\nHernandezview, MI 13516'", "city": "'san francisco'", "credit_card": "'376185496850202'", "id": "'00058767-1e83-4e18-999f-13b5a74d7225'", "name": "'Kevin Turner'"}}
          | index_key_decoding_error | movr     | users | ('seattle','0002e904-1256-4528-8b5f-abad16e695ff')       | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'81499 Samuel Crescent Suite 631\\nLake Christopherborough, PR 50401'", "city": "'seattle'", "credit_card": "'38743493725890'", "id": "'0002e904-1256-4528-8b5f-abad16e695ff'", "name": "'Mark Williams'"}}
          | index_key_decoding_error | movr     | users | ('washington dc','00007caf-2014-4696-85b0-840e7d8b6db9') | 2018-10-18 16:00:38.65916 | f        | {"error_message": "key ordering did not match datum ordering. IndexDescriptor=ASC", "index_name": "primary", "row_data": {"address": "e'4578 Holder Trafficway\\nReynoldsside, IL 23520-7418'", "city": "'washington dc'", "credit_card": "'30454993082943'", "id": "'00007caf-2014-4696-85b0-840e7d8b6db9'", "name": "'Marie Miller'"}}
(8 rows)

Show range information for a specific row

The SHOW RANGE ... FOR ROW statement shows information about a range for a particular row of data. This information is useful for verifying how SQL data maps to underlying ranges, and where the replicas for a range are located.

Alter column types

CockroachDB supports altering the column types of existing tables, with certain limitations. To enable altering column types, set the enable_experimental_alter_column_type_general session variable to true.

Temporary objects

Temporary tables, temporary views, and temporary sequences are in preview in CockroachDB. If you create too many temporary objects in a session, the performance of DDL operations will degrade. Performance limitations could persist long after creating the temporary objects. For more details, see cockroachdb/cockroach#46260.

To enable temporary objects, set the experimental_enable_temp_tables session variable to on.

Password authentication without TLS

For deployments where transport security is already handled at the infrastructure level (e.g., IPSec with DMZ), and TLS-based transport security is not possible or not desirable, CockroachDB supports delegating transport security to the infrastructure with the flag --accept-sql-without-tls for cockroach start.

With this flag, SQL clients can establish a session over TCP without a TLS handshake. They still need to present valid authentication credentials, for example a password in the default configuration. Different authentication schemes can be further configured as per server.host_based_authentication.configuration.

Example:

$ cockroach sql --user=jpointsman --insecure

  # Welcome to the CockroachDB SQL shell.
  # All statements must be terminated by a semicolon.
  # To exit, type: \q.
  #
  Enter password:

Core implementation of changefeeds

The EXPERIMENTAL CHANGEFEED FOR statement creates a new core changefeed, which streams row-level changes to the client indefinitely until the underlying connection is closed or the changefeed is canceled. A core changefeed can watch one table or multiple tables in a comma-separated list.

Changefeed metrics labels

To measure metrics per changefeed, you can define a "metrics label" for one or multiple changefeed(s). The changefeed(s) will increment each changefeed metric. Metrics label information is sent with time-series metrics to http://{host}:{http-port}/_status/vars, viewable via the Prometheus endpoint. An aggregated metric of all changefeeds is also measured.

It is necessary to consider the following when applying metrics labels to changefeeds:

• Metrics labels are not available in CockroachDB Cloud.
• Metrics labels are not supported as tags in Datadog.
• The COCKROACH_EXPERIMENTAL_ENABLE_PER_CHANGEFEED_METRICS environment variable must be specified to use this feature.
• The server.child_metrics.enabled cluster setting must be set to true before using the metrics_label option.
• Metrics label information is sent to the _status/vars endpoint, but will not show up in debug.zip or the DB Console.
• Introducing labels to isolate a changefeed's metrics can increase cardinality significantly. There is a limit of 1024 unique labels in place to prevent cardinality explosion. That is, when labels are applied to high-cardinality data (data with a higher number of unique values), each changefeed with a label then results in more metrics data to multiply together, which will grow over time. This will have an impact on performance as the metric-series data per changefeed quickly populates against its label.
• The maximum length of a metrics label is 128 bytes.

For usage details, see the Monitor and Debug Changefeeds page.

Google Pub/Sub sink for changefeeds

Changefeeds can deliver messages to a Google Cloud Pub/Sub sink, which is integrated with Google Cloud Platform.

Webhook sink for changefeeds

Use a webhook sink to deliver changefeed messages to an arbitrary HTTP endpoint.

Change data capture transformations

Change data capture transformations allow you to define the change data emitted to your sink when you create a changefeed. The expression syntax provides a way to select columns and apply filters to further restrict or transform the data in your changefeed messages.

External connections

You can use external connections to specify and interact with resources that are external from CockroachDB. With CREATE EXTERNAL CONNECTION, you define a name for an external connection while passing the provider URI and query parameters.

See Also

• SHOW {session variable}
• Functions and Operators
• ALTER TABLE ... EXPERIMENTAL_AUDIT
• SHOW TRACE FOR SESSION
• SHOW RANGE ... FOR ROW

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