Common Errors and Solutions

This page helps you understand and resolve error messages written to stderr or your logs.

connection refused

This message indicates a client is trying to connect to a node that is either not running or is not listening on the specified interfaces (i.e., hostname or port).

To resolve this issue, do one of the following:

• If the node hasn't yet been started, start the node.
• If you specified a --listen-addr and/or a --advertise-addr flag when starting the node, you must include the specified IP address/hostname and port with all other cockroach commands or change the COCKROACH_HOST environment variable.

If you're not sure what the IP address/hostname and port values might have been, you can look in the node's logs.

If necessary, you can also shut down and then restart the node:

$ cockroach start [flags]

node is running secure mode, SSL connection required

This message indicates that the cluster is using TLS encryption to protect network communication, and the client is trying to open a connection without using the required TLS certificates.

To resolve this issue, use the cockroach cert create-client command to generate a client certificate and key for the user trying to connect. For a secure deployment tutorial, including generating security certificates and connecting clients, see Manual Deployment.

restart transaction

Messages with the error code 40001 and the string restart transaction indicate that a transaction failed because it conflicted with another concurrent or recent transaction accessing the same data. The transaction needs to be retried by the client. For more information about how to implement client-side retries, see client-side retry handling.

For more information about the different types of transaction retry errors such as "retry write too old", "read within uncertainty interval", etc., see the Transaction Retry Error Reference.

node belongs to cluster <cluster ID> but is attempting to connect to a gossip network for cluster <another cluster ID>

This message usually indicates that a node tried to connect to a cluster, but the node is already a member of a different cluster. This is determined by metadata in the node's data directory. To resolve this issue, do one of the following:

• Choose a different directory to store the CockroachDB data:

  $ cockroach start [flags] --store=[new directory] --join=[cluster host]:26257
  

• Remove the existing directory and start a node joining the cluster again:

  $ rm -r cockroach-data/
  

  $ cockroach start [flags] --join=[cluster host]:26257
  

clock synchronization error: this node is more than 500ms away from at least half of the known nodes

This error indicates that a node has spontaneously shut down because it detected 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). CockroachDB requires moderate levels of clock synchronization to preserve data consistency, so the node shutting down in this way avoids the risk of consistency anomalies.

To prevent this from happening, you should run clock synchronization software on each node. For guidance on synchronizing clocks, see the tutorial for your deployment environment:

open file descriptor limit of <number> is under the minimum required <number>

CockroachDB can use a large number of open file descriptors, often more than is available by default. This message indicates that the machine on which a CockroachDB node is running is under CockroachDB's recommended limits.

For more details on CockroachDB's file descriptor limits and instructions on increasing the limit on various platforms, see File Descriptors Limit.

replicas failing with "0 of 1 store with an attribute matching []; likely not enough nodes in cluster

When running a single-node cluster

When running a single-node CockroachDB cluster, an error about replicas failing will eventually show up in the node's log files, for example:

E160407 09:53:50.337328 storage/queue.go:511  [replicate] 7 replicas failing with "0 of 1 store with an attribute matching []; likely not enough nodes in cluster"

This happens because CockroachDB expects three nodes by default. If you do not intend to add additional nodes, you can stop this error by using ALTER RANGE ... CONFIGURE ZONE to update your default zone configuration to expect only one node:

# Insecure cluster:
$ cockroach sql --execute="ALTER RANGE default CONFIGURE ZONE USING num_replicas=1;" --insecure

# Secure cluster:
$ cockroach sql --execute="ALTER RANGE default CONFIGURE ZONE USING num_replicas=1;" --certs-dir=[path to certs directory]

The zone's replica count is reduced to 1. For more information, see ALTER RANGE ... CONFIGURE ZONE and Configure Replication Zones.

When running a multi-node cluster

When running a multi-node CockroachDB cluster, if you see an error like the one above about replicas failing, some nodes might not be able to talk to each other. For recommended actions, see Cluster Setup Troubleshooting.

split failed while applying backpressure; are rows updated in a tight loop?

In CockroachDB, a table row is stored on disk as a key-value pair. Whenever the row is updated, CockroachDB also stores a distinct version of the key-value pair to enable concurrent request processing while guaranteeing consistency (see multi-version concurrency control (MVCC)). All versions of a key-value pair belong to a larger "range" of the total key space, and the historical versions remain until the garbage collection period defined by the gc.ttlseconds variable in the applicable zone configuration has passed (25 hours by default). Once a range reaches a size threshold (512 MiB by default), CockroachDB splits the range into two ranges. However, this message indicates that a range cannot be split as intended.

One possible cause is that the range consists only of MVCC version data due to a row being repeatedly updated, and the range cannot be split because doing so would spread MVCC versions for a single row across multiple ranges.

To resolve this issue, make sure you are not repeatedly updating a single row. If frequent updates of a row are necessary, consider one of the following:

• Reduce the gc.ttlseconds variable in the applicable zone configuration to reduce the garbage collection period and prevent such a large build-up of historical values.
• If a row contains large columns that are not being updated with other columns, put the large columns in separate column families.

context deadline exceeded

This message occurs when a component of CockroachDB gives up because it was relying on another component that has not behaved as expected, for example, another node dropped a network connection. To investigate further, look in the node's logs for the primary failure that is the root cause.

protected ts verification error

Messages that begin with protected ts verification error… indicate that your incremental backup failed because the data you are trying to backup was garbage collected. This happens when incremental backups are taken less frequently than the garbage collection periods for any of the objects in the base backup. For example, if your incremental backups recur daily, but the garbage collection period of one table in your backup is less than one day, all of your incremental backups will fail.

The error message will specify which part of your backup is causing the failure. For example, range span: /Table/771 indicates that table 771 is part of the problem. You can then inspect this table by running SELECT * FROM crdb_internal.tables WHERE id=771. You can also run SHOW ZONE CONFIGURATIONS and look for any gc.ttlseconds values that are set lower than your incremental backup frequency.

To resolve this issue, take a new full backup after doing either of the following:

• Increase the garbage collection period by configuring the gc.ttlseconds replication zone variable. For example, we recommend setting the GC TTL to a time interval greater than the sum of incremental_backup_interval + expected_runtime_of_full_backup + buffer_for_slowdowns. To estimate the expected full backup runtime, it is necessary to perform testing or verify the past performance through the jobs table.
• Increase the frequency of incremental backups.

result is ambiguous

In a distributed system, some errors can have ambiguous results. For example, if you receive a connection closed error while processing a COMMIT statement, you cannot tell whether the transaction successfully committed or not. These errors are possible in any database, but CockroachDB is somewhat more likely to produce them than other databases because ambiguous results can be caused by failures between the nodes of a cluster. These errors are reported with the PostgreSQL error code 40003 (statement_completion_unknown) and the message result is ambiguous.

Ambiguous errors can be caused by nodes crashing, network failures, or timeouts. If you experience a lot of these errors when things are otherwise stable, look for performance issues. Note that ambiguity is only possible for the last statement of a transaction (COMMIT or RELEASE SAVEPOINT) or for statements outside a transaction. If a connection drops during a transaction that has not yet tried to commit, the transaction will definitely be aborted.

In general, you should handle ambiguous errors the same way as connection closed errors. If your transaction is idempotent, it is safe to retry it on ambiguous errors. UPSERT operations are typically idempotent, and other transactions can be written to be idempotent by verifying the expected state before performing any writes. Increment operations such as UPDATE my_table SET x=x+1 WHERE id=$1 are typical examples of operations that cannot easily be made idempotent. If your transaction is not idempotent, then you should decide whether to retry or not based on whether it would be better for your application to apply the transaction twice or return an error to the user.

checking for key collisions: ingested key collides with an existing one

When importing into an existing table with IMPORT INTO, this error occurs because the rows in the import file conflict with an existing primary key or another UNIQUE constraint on the table. The import will fail as a result. IMPORT INTO is an insert-only statement, so you cannot use it to update existing rows. To update rows in an existing table, use the UPDATE statement.

memory budget exceeded

This message usually indicates that --max-sql-memory, the memory allocated to the SQL layer, was exceeded by the operation referenced in the error. A memory budget exceeded error also suggests that a node is close to an OOM crash, which might be prevented by failing the query.

If you find queries that are consuming too much memory, cancel the queries to free up memory usage. For information on optimizing query performance, see SQL Performance Best Practices.

Increasing --max-sql-memory can alleviate memory budget exceeded errors. However, allocating more --max-sql-memory can also increase the probability of OOM crashes relative to the amount of memory currently provisioned on each node. For guidance on configuring this flag, see Cache and SQL memory size.

For disk-spilling operations such as hash joins that are memory-intensive, another solution is to increase the sql.distsql.temp_storage.workmem cluster setting to allocate more memory to the operation before it spills to disk and likely consumes more memory. This improves the performance of the query, though at a possible reduction in the concurrency of the workload.

For example, if a query contains a hash join that requires 128 MiB of memory before spilling to disk, values of sql.distsql.temp_storage.workmem=64MiB and --max-sql-memory=1GiB allow the query to run with a concurrency of 16 without errors. The 17th concurrent instance will exceed --max-sql-memory and produce a memory budget exceeded error. Increasing sql.distsql.temp_storage.workmem to 128MiB reduces the workload concurrency to 8, but allows the queries to finish without spilling to disk. For more information, see Disk-spilling operations.

Something else?

Try searching the rest of our docs for answers or using our other support resources, including:

• CockroachDB Community Forum
• CockroachDB Community Slack
• StackOverflow
• CockroachDB Support Portal
• Transaction retry error reference

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