Known Limitations in CockroachDB v20.1

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This page describes newly identified limitations in the CockroachDB v20.1.17 release as well as unresolved limitations identified in earlier releases.

New limitations

Limited vectorized support for changefeeds

Changefeeds are incompatible with the v20.1 vectorize=on cluster setting due to the buffering behavior of the Columnarizer operator. This issue is resolved in v20.2.

Dropping and renaming objects during an upgrade to v20.1.0


This limitation applies only for upgrades to v20.1.0. Upgrades to v20.1.1 and later are not susceptible to this issue.

When upgrading from v19.2.x to v20.1.0, as soon as any node of the cluster has run v20.1.0, it is important to avoid dropping, renaming, or truncating tables, views, sequences, or databases on the v19.2 nodes. This is true even in cases where nodes were upgraded to v20.1.0 and then rolled back to v19.2.

In this case, avoid running the following operations against v19.2 nodes:

Running any of these operations against v19.2 nodes will result in inconsistency between two internal tables, system.namespace and system.namespace2. This inconsistency will prevent you from being able to recreate the dropped or renamed objects; the returned error will be ERROR: relation <name of dropped/renamed object> already exists. In the case of a dropped or renamed database, SHOW DATABASES will also return an error: ERROR: internal error: "" is not a database.

If your cluster gets into this state, rolling all nodes back to v19.2 will not resolve the issue. Instead, you must do the following:

  1. Using root, open the built-in SQL shell against a node running v20.1.

  2. Select all orphaned namespace rows:

    > SELECT id, name
      FROM system.namespace2
      WHERE id != 29 AND id NOT IN (SELECT id FROM system.descriptor);
  3. Manually verify that each of these IDs correspond to a table, view, sequence, or database that no longer exists.

  4. Grant node-level permissions to root:

    > INSERT INTO system.users VALUES ('node', '', true);
    > GRANT node TO root;
  5. For each ID returned by the first query, delete the orphaned namespace rows:

    > DELETE FROM system.namespace2 WHERE id = <id>
  6. Revoke node-level permissions:

    > REVOKE node FROM root;

Tracking Github Issue

Admin UI Data Distribution page not accessible after some version upgrades


This limitation applies only for upgrades to v20.1.0, v20.1.1, and v20.1.2. Upgrades to v20.1.3 and later are not susceptible to this issue. First-time installations of v20.1.0, v20.1.1, and v20.1.2 are also unaffected.

Upgrading to v20.1.0, v20.1.1, or v20.1.2 will break the Data Distribution page in the Admin UI.

Navigating to this page will show the following error message:

An error was encountered while loading this data:

- Internal Server Error
No details available.

To resolve the issue, upgrade to v20.1.3 or any later version.

Tracking Github Issue

Primary key changes and zone configs

When you change a table's primary key with ALTER PRIMARY KEY, any zone configurations for that table or its secondary indexes will no longer apply.

As a workaround, recreate the zone configurations after changing the table's primary key.

Tracking Github Issue

ROLLBACK TO SAVEPOINT in high-priority transactions containing DDL

Transactions with priority HIGH that contain DDL and ROLLBACK TO SAVEPOINT are not supported, as they could result in a deadlock. For example:

ERROR: unimplemented: cannot use ROLLBACK TO SAVEPOINT in a HIGH PRIORITY transaction containing DDL
HINT: You have attempted to use a feature that is not yet implemented.

Tracking Github Issue

Column name from an outer column inside a subquery differs from PostgreSQL

CockroachDB returns the column name from an outer column inside a subquery as ?column?, unlike PostgreSQL. For example:

> SELECT (SELECT t.*) FROM (VALUES (1)) t(x);





Tracking Github Issue

Privileges required to access to certain virtual tables differs from PostgreSQL

Access to certain virtual tables in the pg_catalog and information_schema schemas require more privileges than in PostgreSQL. For example, in CockroachDB, access to pg_catalog.pg_types requires the SELECT privilege on the current database, whereas this privilege is not required in PostgreSQL.

Tracking Github Issue

Concurrent SQL shells overwrite each other's history

The built-in SQL shell stores its command history in a single file by default (.cockroachsql_history). When running multiple instances of the SQL shell on the same machine, therefore, each shell's command history can get overwritten in unexpected ways.

As a workaround, set the COCKROACH_SQL_CLI_HISTORY environment variable to different values for the two different shells, for example:

$ export COCKROACH_SQL_CLI_HISTORY=.cockroachsql_history_shell_1
$ export COCKROACH_SQL_CLI_HISTORY=.cockroachsql_history_shell_2

Unresolved limitations

Collation names that include upper-case or hyphens may cause errors

Using a collation name with upper-case letters or hyphens may result in errors.

For example, the following SQL will result in an error:

> CREATE TABLE nocase_strings (s STRING COLLATE "en-US-u-ks-level2");
> INSERT INTO nocase_strings VALUES ('Aaa' COLLATE "en-US-u-ks-level2"), ('Bbb' COLLATE "en-US-u-ks-level2");
> SELECT s FROM nocase_strings WHERE s = ('bbb' COLLATE "en-US-u-ks-level2");
ERROR: internal error: "$0" = 'bbb' COLLATE en_us_u_ks_level2: unsupported comparison operator: <collatedstring{en-US-u-ks-level2}> = <collatedstring{en_us_u_ks_level2}>

As a workaround, only use collation names that have lower-case letters and underscores.

Tracking GitHub issue

Subqueries in SET statements

It is not currently possible to use a subquery in a SET or SET CLUSTER SETTING statement. For example:

> SET application_name = (SELECT 'a' || 'b');
ERROR: invalid value for parameter "application_name": "(SELECT 'a' || 'b')"
DETAIL: subqueries are not allowed in SET

Tracking Github Issue

Filtering by now() results in a full table scan

When filtering a query by now(), the cost-based optimizer currently cannot constrain an index on the filtered timestamp column. This results in a full table scan. For example:

> EXPLAIN SELECT * FROM bydate WHERE a > (now() - '1h'::interval);
  tree |    field    |       description
       | distributed | true
       | vectorized  | false
  scan |             |
       | table       | bydate@primary
       | spans       | FULL SCAN
       | filter      | a > (now() - '01:00:00')
(6 rows)

As a workaround, pass the correct date into the query as a parameter to a prepared query with a placeholder, which will allow the optimizer to constrain the index correctly:

> PREPARE q AS SELECT * FROM bydate WHERE a > ($1::timestamp - '1h'::interval);
> EXECUTE q ('2020-05-12 00:00:00');

Tracking Github Issue

Enterprise BACKUP does not capture database/table/column comments

The COMMENT ON statement associates comments to databases, tables, or columns. However, the internal table (system.comments) in which these comments are stored is not captured by enterprise BACKUP.

As a workaround, alongside a BACKUP, run the cockroach dump command with --dump-mode=schema for each table in the backup. This will emit COMMENT ON statements alongside CREATE statements.

Tracking Github Issue

Adding stores to a node

After a node has initially joined a cluster, it is not possible to add additional stores to the node. Stopping the node and restarting it with additional stores causes the node to not reconnect to the cluster.

To work around this limitation, decommission the node, remove its data directory, and then run cockroach start to join the cluster again as a new node.

Tracking GitHub Issue

CHECK constraint validation for INSERT ON CONFLICT differs from PostgreSQL

CockroachDB validates CHECK constraints on the results of INSERT ON CONFLICT statements, preventing new or changed rows from violating the constraint. Unlike PostgreSQL, CockroachDB does not also validate CHECK constraints on the input rows of INSERT ON CONFLICT statements.

If this difference matters to your client, you can INSERT ON CONFLICT from a SELECT statement and check the inserted value as part of the SELECT. For example, instead of defining CHECK (x > 0) on t.x and using INSERT INTO t(x) VALUES (3) ON CONFLICT (x) DO UPDATE SET x = excluded.x, you could do the following:

    SELECT if (x <= 0, crdb_internal.force_error('23514', 'check constraint violated'), x)
      FROM (values (3)) AS v(x)
      DO UPDATE SET x = excluded.x;

An x value less than 1 would result in the following error:

pq: check constraint violated

Tracking Github Issue

Cold starts of large clusters may require manual intervention


Resolved as of v20.1.16. See #64568.

If a cluster contains a large amount of data (>500GiB / node), and all nodes are stopped and then started at the same time, clusters can enter a state where they're unable to startup without manual intervention. In this state, logs fill up rapidly with messages like refusing gossip from node x; forwarding to node y, and data and metrics may become inaccessible.

To exit this state, you should:

  1. Stop all nodes.
  2. Set the following environment variables: COCKROACH_SCAN_INTERVAL=60m, and COCKROACH_SCAN_MIN_IDLE_TIME=1s.
  3. Restart the cluster.

Once restarted, monitor the Replica Quiescence graph on the Replication Dashboard. When >90% of the replicas have become quiescent, conduct a rolling restart and remove the environment variables. Make sure that under-replicated ranges do not increase between restarts.

Tracking Github Issue

Requests to restarted node in need of snapshots may hang

When a node is offline, the Raft logs for the ranges on the node get truncated. When the node comes back online, it therefore often needs Raft snapshots to get many of its ranges back up-to-date. While in this state, requests to a range will hang until its snapshot has been applied, which can take a long time.

To work around this limitation, you can adjust the kv.snapshot_recovery.max_rate cluster setting to temporarily relax the throughput rate limiting applied to snapshots. For example, changing the rate limiting from the default 8 MB/s, at which 1 GB of snapshots takes at least 2 minutes, to 64 MB/s can result in an 8x speedup in snapshot transfers and, therefore, a much shorter interruption of requests to an impacted node:

> SET CLUSTER SETTING kv.snapshot_recovery.max_rate = '64mb';

Before increasing this value, however, verify that you will not end up saturating your network interfaces, and once the problem has resolved, be sure to reset to the original value.

Tracking GitHub Issue

Location-based time zone names

Certain features of CockroachDB require time zone data, for example, to support using location-based names as time zone identifiers. When starting a CockroachDB node on a machine missing time zone data, the node will not start.

To resolve this issue on Linux, install the tzdata library (sometimes called tz or zoneinfo).

To resolve this issue on Windows, download Go's official and set the ZONEINFO environment variable to point to the zip file. For step-by-step guidance on setting environment variables on Windows, see this external article.

Make sure to do this across all nodes in the cluster and to keep this time zone data up-to-date.

Tracking GitHub Issue

Change data capture

Change data capture (CDC) provides efficient, distributed, row-level change feeds into Apache Kafka for downstream processing such as reporting, caching, or full-text indexing.

Admin UI may become inaccessible for secure clusters

Accessing the Admin UI for a secure cluster now requires login information (i.e., username and password). This login information is stored in a system table that is replicated like other data in the cluster. If a majority of the nodes with the replicas of the system table data go down, users will be locked out of the Admin UI.


AS OF SYSTEM TIME can only be used in a top-level SELECT statement. That is, we do not support statements like INSERT INTO t SELECT * FROM t2 AS OF SYSTEM TIME <time> or two subselects in the same statement with differing AS OF SYSTEM TIME arguments.

Tracking GitHub Issue

Large index keys can impair performance

The use of tables with very large primary or secondary index keys (>32KB) can result in excessive memory usage. Specifically, if the primary or secondary index key is larger than 32KB the default indexing scheme for RocksDB SSTables breaks down and causes the index to be excessively large. The index is pinned in memory by default for performance.

To work around this issue, we recommend limiting the size of primary and secondary keys to 4KB, which you must account for manually. Note that most columns are 8B (exceptions being STRING and JSON), which still allows for very complex key structures.

Tracking GitHub Issue

Admin UI: Statements page latency reports

The Statements page does not correctly report "mean latency" or "latency by phase" for statements that result in schema changes or other background jobs.

Tracking GitHub Issue

Using LIKE...ESCAPE in WHERE and HAVING constraints

CockroachDB tries to optimize most comparisons operators in WHERE and HAVING clauses into constraints on SQL indexes by only accessing selected rows. This is done for LIKE clauses when a common prefix for all selected rows can be determined in the search pattern (e.g., ... LIKE 'Joe%'). However, this optimization is not yet available if the ESCAPE keyword is also used.

Tracking GitHub Issue

Using SQLAlchemy with CockroachDB

Users of the SQLAlchemy adapter provided by Cockroach Labs must upgrade the adapter to the latest release before upgrading to CockroachDB v20.1.

Admin UI: CPU percentage calculation

For multi-core systems, the user CPU percent can be greater than 100%. Full utilization of one core is considered as 100% CPU usage. If you have n cores, then the user CPU percent can range from 0% (indicating an idle system) to (n*100)% (indicating full utilization).

Tracking GitHub Issue

Admin UI: CPU count in containerized environments

When CockroachDB is run in a containerized environment (e.g., Kubernetes), the Admin UI does not detect CPU limits applied to a container. Instead, the UI displays the actual number of CPUs provisioned on a VM.

Tracking GitHub Issue

TRUNCATE does not behave like DELETE

TRUNCATE is not a DML statement, but instead works as a DDL statement. Its limitations are the same as other DDL statements, which are outlined in Online Schema Changes: Limitations

Tracking GitHub Issue

Ordering tables by JSONB/JSON-typed columns

CockroachDB does not currently key-encode JSON values. As a result, tables cannot be ordered by JSONB/JSON-typed columns.

Tracking GitHub Issue

Current sequence value not checked when updating min/max value

Altering the minimum or maximum value of a series does not check the current value of a series. This means that it is possible to silently set the maximum to a value less than, or a minimum value greater than, the current value.

Tracking GitHub Issue

Using default_int_size session variable in batch of statements

When setting the default_int_size session variable in a batch of statements such as SET default_int_size='int4'; SELECT 1::IN, the default_int_size variable will not take affect until the next statement. This happens because statement parsing takes place asynchronously from statement execution.

As a workaround, set default_int_size via your database driver, or ensure that SET default_int_size is in its own statement.

Tracking GitHub Issue

Importing data using the PostgreSQL COPY protocol

Currently, the built-in SQL shell provided with CockroachDB (cockroach sql / cockroach demo) does not support importing data using the COPY statement. Users can use the psql client command provided with PostgreSQL to load this data into CockroachDB instead.

Tracking GitHub Issue

Dumping a table with no user-visible columns

It is not currently possible to use cockroach dump to dump the schema and data of a table with no user-defined columns. See #35462 for more details.

Dumping a table with collations

When using cockroach dump to dump the data of a table containing collations, the resulting INSERTs do not include the relevant collation clauses. For example:

$ cockroach start-single-node --insecure
$ cockroach sql --insecure
    ('Backhaus' COLLATE de),
    ('Bär' COLLATE de),
    ('Baz' COLLATE de)
> q
$ cockroach dump defaultdb de_names --insecure > dump.sql
$ cat dump.sql
CREATE TABLE de_names (
    CONSTRAINT "primary" PRIMARY KEY (name ASC),
    FAMILY "primary" (name)

INSERT INTO de_names (name) VALUES

Tracking GitHub Issue

Import with a high amount of disk contention

IMPORT can sometimes fail with a "context canceled" error, or can restart itself many times without ever finishing. If this is happening, it is likely due to a high amount of disk contention. This can be mitigated by setting the kv.bulk_io_write.max_rate cluster setting to a value below your max disk write speed. For example, to set it to 10MB/s, execute:

> SET CLUSTER SETTING kv.bulk_io_write.max_rate = '10MB';

Assigning latitude/longitude for the Node Map

You cannot assign latitude/longitude coordinates to localities if the components of your localities have the same name. For example, consider the following partial configuration:

Node Region Datacenter
Node1 us-east datacenter-1
Node2 us-west datacenter-1

In this case, if you try to set the latitude/longitude coordinates to the datacenter level of the localities, you will get the "primary key exists" error and the Node Map will not be displayed. You can, however, set the latitude/longitude coordinates to the region components of the localities, and the Node Map will be displayed.

Placeholders in PARTITION BY

When defining a table partition, either during table creation or table alteration, it is not possible to use placeholders in the PARTITION BY clause.

Adding a column with sequence-based DEFAULT values

It is currently not possible to add a column to a table when the column uses a sequence as the DEFAULT value, for example:

> INSERT INTO t(x) VALUES (1), (2), (3);
ERROR: nextval(): unimplemented: cannot evaluate scalar expressions containing sequence operations in this context

Tracking GitHub Issue

Available capacity metric in the Admin UI

If you are testing your deployment locally with multiple CockroachDB nodes running on a single machine (this is not recommended in production), you must explicitly set the store size per node in order to display the correct capacity. Otherwise, the machine's actual disk capacity will be counted as a separate store for each node, thus inflating the computed capacity.

Schema changes within transactions

Within a single transaction:


If a schema change within a transaction fails, manual intervention may be needed to determine which has failed. After determining which schema change(s) failed, you can then retry the schema changes.

Schema change DDL statements inside a multi-statement transaction can fail while other statements succeed

Schema change DDL statements that run inside a multi-statement transaction with non-DDL statements can fail at COMMIT time, even if other statements in the transaction succeed. This leaves such transactions in a "partially committed, partially aborted" state that may require manual intervention to determine whether the DDL statements succeeded.

If such a failure occurs, CockroachDB will emit a new CockroachDB-specific error code, XXA00, and the following error message:

transaction committed but schema change aborted with error: <description of error>
HINT: Some of the non-DDL statements may have committed successfully, but some of the DDL statement(s) failed.
Manual inspection may be required to determine the actual state of the database.

This limitation exists in versions of CockroachDB prior to 19.2. In these older versions, CockroachDB returned the Postgres error code 40003, "statement completion unknown".


If you must execute schema change DDL statements inside a multi-statement transaction, we strongly recommend checking for this error code and handling it appropriately every time you execute such transactions.

This error will occur in various scenarios, including but not limited to:

  • Creating a unique index fails because values aren't unique.
  • The evaluation of a computed value fails.
  • Adding a constraint (or a column with a constraint) fails because the constraint is violated for the default/computed values in the column.

To see an example of this error, start by creating the following table.

INSERT INTO T(x) VALUES (1), (2), (3);

Then, enter the following multi-statement transaction, which will trigger the error.

pq: transaction committed but schema change aborted with error: (23505): duplicate key value (x)=(3) violates unique constraint "unique_x"
HINT: Some of the non-DDL statements may have committed successfully, but some of the DDL statement(s) failed.
Manual inspection may be required to determine the actual state of the database.

In this example, the INSERT statement committed, but the ALTER TABLE statement adding a UNIQUE constraint failed. We can verify this by looking at the data in table t and seeing that the additional non-unique value 3 was successfully inserted.

(4 rows)

Schema changes between executions of prepared statements

When the schema of a table targeted by a prepared statement changes after the prepared statement is created, future executions of the prepared statement could result in an error. For example, adding a column to a table referenced in a prepared statement with a SELECT * clause will result in an error:

INSERT INTO users VALUES (1, 'Max Roach');
EXECUTE prep1;
ERROR: cached plan must not change result type

It's therefore recommended to explicitly list result columns instead of using SELECT * in prepared statements, when possible.


When inserting/updating all columns of a table, and the table has no secondary indexes, we recommend using an UPSERT statement instead of the equivalent INSERT ON CONFLICT statement. Whereas INSERT ON CONFLICT always performs a read to determine the necessary writes, the UPSERT statement writes without reading, making it faster.

This issue is particularly relevant when using a simple SQL table of two columns to simulate direct KV access. In this case, be sure to use the UPSERT statement.

Size limits on statement input from SQL clients

CockroachDB imposes a hard limit of 16MiB on the data input for a single statement passed to CockroachDB from a client (including the SQL shell). We do not recommend attempting to execute statements from clients with large input.

Using \| to perform a large input in the SQL shell

In the built-in SQL shell, using the \| operator to perform a large number of inputs from a file can cause the server to close the connection. This is because \| sends the entire file as a single query to the server, which can exceed the upper bound on the size of a packet the server can accept from any client (16MB).

As a workaround, execute the file from the command line with cat data.sql | cockroach sql instead of from within the interactive shell.

New values generated by DEFAULT expressions during ALTER TABLE ADD COLUMN

When executing an ALTER TABLE ADD COLUMN statement with a DEFAULT expression, new values generated:

  • use the default search path regardless of the search path configured in the current session via SET SEARCH_PATH.
  • use the UTC time zone regardless of the time zone configured in the current session via SET TIME ZONE.
  • have no default database regardless of the default database configured in the current session via SET DATABASE, so you must specify the database of any tables they reference.
  • use the transaction timestamp for the statement_timestamp() function regardless of the time at which the ALTER statement was issued.

Load-based lease rebalancing in uneven latency deployments

When nodes are started with the --locality flag, CockroachDB attempts to place the replica lease holder (the replica that client requests are forwarded to) on the node closest to the source of the request. This means as client requests move geographically, so too does the replica lease holder.

However, you might see increased latency caused by a consistently high rate of lease transfers between datacenters in the following case:

  • Your cluster runs in datacenters which are very different distances away from each other.
  • Each node was started with a single tier of --locality, e.g., --locality=datacenter=a.
  • Most client requests get sent to a single datacenter because that's where all your application traffic is.

To detect if this is happening, open the Admin UI, select the Queues dashboard, hover over the Replication Queue graph, and check the Leases Transferred / second data point. If the value is consistently larger than 0, you should consider stopping and restarting each node with additional tiers of locality to improve request latency.

For example, let's say that latency is 10ms from nodes in datacenter A to nodes in datacenter B but is 100ms from nodes in datacenter A to nodes in datacenter C. To ensure A's and B's relative proximity is factored into lease holder rebalancing, you could restart the nodes in datacenter A and B with a common region, --locality=region=foo,datacenter=a and --locality=region=foo,datacenter=b, while restarting nodes in datacenter C with a different region, --locality=region=bar,datacenter=c.

Overload resolution for collated strings

Many string operations are not properly overloaded for collated strings, for example:

> SELECT 'string1' || 'string2';
| 'string1' || 'string2' |
| string1string2         |
(1 row)
> SELECT ('string1' collate en) || ('string2' collate en);
pq: unsupported binary operator: <collatedstring{en}> || <collatedstring{en}>

Tracking GitHub Issue

Max size of a single column family

When creating or updating a row, if the combined size of all values in a single column family exceeds the max range size (512 MiB by default) for the table, the operation may fail, or cluster performance may suffer.

As a workaround, you can either manually split a table's columns into multiple column families, or you can create a table-specific zone configuration with an increased max range size.

Simultaneous client connections and running queries on a single node

When a node has both a high number of client connections and running queries, the node may crash due to memory exhaustion. This is due to CockroachDB not accurately limiting the number of clients and queries based on the amount of available RAM on the node.

To prevent memory exhaustion, monitor each node's memory usage and ensure there is some margin between maximum CockroachDB memory usage and available system RAM. For more details about memory usage in CockroachDB, see this blog post.

SQL subexpressions and memory usage

Many SQL subexpressions (e.g., ORDER BY, UNION/INTERSECT/EXCEPT, GROUP BY, subqueries) accumulate intermediate results in RAM on the node processing the query. If the operator attempts to process more rows than can fit into RAM, the node will either crash or report a memory capacity error. For more details about memory usage in CockroachDB, see this blog post.

Query planning for OR expressions

Given a query like SELECT * FROM foo WHERE a > 1 OR b > 2, even if there are appropriate indexes to satisfy both a > 1 and b > 2, the query planner performs a full table or index scan because it cannot use both conditions at once.

Privileges for DELETE and UPDATE

Every DELETE or UPDATE statement constructs a SELECT statement, even when no WHERE clause is involved. As a result, the user executing DELETE or UPDATE requires both the DELETE and SELECT or UPDATE and SELECT privileges on the table.

Correlated common table expressions

CockroachDB does not support correlated common table expressions. This means that a CTE cannot refer to a variable defined outside the scope of that CTE.

For example, the following query returns an error:

> SELECT * FROM users
  WHERE id =
    (WITH rides_home AS
      (SELECT revenue FROM rides
       WHERE end_address = address)
     SELECT rider_id FROM rides_home);
ERROR: CTEs may not be correlated

This query returns an error because the WITH rides_home clause references a column (address) returned by the SELECT statement at the top level of the query, outside the rides_home CTE definition.

Tracking GitHub Issue

Passwords with special characters cannot be passed in connection parameter

CockroachDB does not allow passwords with special characters to be passed as a connection parameter to cockroach commands.

Tracking GitHub Issue

CockroachDB does not test for all connection failure scenarios

CockroachDB servers rely on the network to report when a TCP connection fails. In most scenarios when a connection fails, the network immediately reports a connection failure, resulting in a Connection refused error.

However, if there is no host at the target IP address, or if a firewall rule blocks traffic to the target address and port, a TCP handshake can linger while the client network stack waits for a TCP packet in response to network requests. To work around this kind of scenario, we recommend the following:

  • When migrating a node to a new machine, keep the server listening at the previous IP address until the cluster has completed the migration.
  • Configure any active network firewalls to allow node-to-node traffic.
  • Verify that orchestration tools (e.g., Kubernetes) are configured to use the correct network connection information.

Tracking GitHub Issue

Some column-dropping schema changes do not roll back properly

Some schema changes that drop columns cannot be rolled back properly.

In some cases, the rollback will succeed, but the column data might be partially or totally missing, or stale due to the asynchronous nature of the schema change.

Tracking GitHub Issue

In other cases, the rollback will fail in such a way that will never be cleaned up properly, leaving the table descriptor in a state where no other schema changes can be run successfully.

Tracking GitHub Issue

If you have performed a rollback of a column-dropping schema change, check the jobs table entry for schema changes with an error prefaced by cannot be reverted, manual cleanup may be required.

Disk-spilling on joins with JSON columns

If the execution of a join query exceeds the limit set for memory-buffering operations (i.e., the value set for the sql.distsql.temp_storage.workmem cluster setting), CockroachDB will spill the intermediate results of computation to disk. If the join operation spills to disk, and at least one of the columns is of type JSON, CockroachDB returns the error unable to encode table key: *tree.DJSON. If the memory limit is not reached, then the query will be processed without error.

Tracking GitHub Issue

Inverted indexes cannot be partitioned

CockroachDB does not support partitioning inverted indexes.

Tracking GitHub Issue

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