replication.md

title	linkTitle	description
Valkey replication	Replication	How Valkey supports high availability and failover with replication

At the base of Valkey replication (excluding the high availability features provided as an additional layer by Valkey Cluster or Valkey Sentinel) there is a leader follower (primary-replica) replication that is simple to use and configure. It allows replica Valkey instances to be exact copies of primary instances. The replica will automatically reconnect to the primary every time the link breaks, and will attempt to be an exact copy of it regardless of what happens to the primary.

This system works using three main mechanisms:

1. When a primary and a replica instances are well-connected, the primary keeps the replica updated by sending a stream of commands to the replica to replicate the effects on the dataset happening in the primary side due to: client writes, keys expired or evicted, any other action changing the primary dataset.
2. When the link between the primary and the replica breaks, for network issues or because a timeout is sensed in the primary or the replica, the replica reconnects and attempts to proceed with a partial resynchronization: it means that it will try to just obtain the part of the stream of commands it missed during the disconnection.
3. When a partial resynchronization is not possible, the replica will ask for a full resynchronization. This will involve a more complex process in which the primary needs to create a snapshot of all its data, send it to the replica, and then continue sending the stream of commands as the dataset changes.

Valkey uses by default asynchronous replication, which being low latency and high performance, is the natural replication mode for the vast majority of Valkey use cases. However, Valkey replicas asynchronously acknowledge the amount of data they received periodically with the primary. So the primary does not wait every time for a command to be processed by the replicas, however it knows, if needed, what replica already processed what command. This allows having optional synchronous replication.

Synchronous replication of certain data can be requested by the clients using the WAIT command. However WAIT is only able to ensure there are the specified number of acknowledged copies in the other Valkey instances, it does not turn a set of Valkey instances into a CP system with strong consistency: acknowledged writes can still be lost during a failover, depending on the exact configuration of the Valkey persistence. However with WAIT the probability of losing a write after a failure event is greatly reduced to certain hard to trigger failure modes.

You can check the Valkey Sentinel or Valkey Cluster documentation for more information about high availability and failover. The rest of this document mainly describes the basic characteristics of Valkey basic replication.

Important facts about Valkey replication

• Valkey uses asynchronous replication, with asynchronous replica-to-primary acknowledges of the amount of data processed.
• A primary can have multiple replicas.
• Replicas are able to accept connections from other replicas. Aside from connecting a number of replicas to the same primary, replicas can also be connected to other replicas in a cascading-like structure. All the sub-replicas will receive exactly the same replication stream from the primary.
• Valkey replication is non-blocking on the primary side. This means that the primary will continue to handle queries when one or more replicas perform the initial synchronization or a partial resynchronization.
• Replication is also largely non-blocking on the replica side. While the replica is performing the initial synchronization, it can handle queries using the old version of the dataset, assuming you configured Valkey to do so in valkey.conf. Otherwise, you can configure Valkey replicas to return an error to clients if the replication stream is down. However, after the initial sync, the old dataset must be deleted and the new one must be loaded. The replica will block incoming connections during this brief window (that can be as long as many seconds for very large datasets). You can configure Valkey so that the deletion of the old data set happens in a different thread, however loading the new initial dataset will still happen in the main thread and block the replica.
• Replication can be used both for scalability, to have multiple replicas for read-only queries (for example, slow O(N) operations can be offloaded to replicas), or simply for improving data safety and high availability.
• You can use replication to avoid the cost of having the primary writing the full dataset to disk: a typical technique involves configuring your primary's valkey.conf to avoid persisting to disk at all, then connect a replica configured to save from time to time, or with AOF enabled. However, this setup must be handled with care, since a restarting primary will start with an empty dataset: if the replica tries to sync with it, the replica will be emptied as well.

Safety of replication when primary has persistence turned off

In setups where Valkey replication is used, it is strongly advised to have persistence turned on in the primary and in the replicas. When this is not possible, for example because of latency concerns due to very slow disks, instances should be configured to avoid restarting automatically after a reboot.

To better understand why primaries with persistence turned off configured to auto restart are dangerous, check the following failure mode where data is wiped from the primary and all its replicas:

1. We have a setup with node A acting as primary, with persistence turned down, and nodes B and C replicating from node A.
2. Node A crashes, however it has some auto-restart system, that restarts the process. However since persistence is turned off, the node restarts with an empty data set.
3. Nodes B and C will replicate from node A, which is empty, so they'll effectively destroy their copy of the data.

When Valkey Sentinel is used for high availability, also turning off persistence on the primary, together with auto restart of the process, is dangerous. For example, the primary can restart fast enough for Sentinel to not detect a failure, so that the failure mode described above happens.

Every time data safety is important, and replication is used with primary configured without persistence, auto restart of instances should be disabled.

How Valkey replication works

Every Valkey primary has a replication ID: it is a large pseudo random string that marks a given story of the dataset. Each primary also takes an offset that increments for every byte of replication stream that it is produced to be sent to replicas, to update the state of the replicas with the new changes modifying the dataset. The replication offset is incremented even if no replica is actually connected, so basically every given pair of:

Replication ID, offset

Identifies an exact version of the dataset of a primary.

When replicas connect to primaries, they use the PSYNC command to send their old primary replication ID and the offsets they processed so far. This way the primary can send just the incremental part needed. However if there is not enough backlog in the primary buffers, or if the replica is referring to a history (replication ID) which is no longer known, then a full resynchronization happens: in this case the replica will get a full copy of the dataset, from scratch.

This is how a full synchronization works in more details:

The primary starts a background saving process to produce an RDB file. At the same time it starts to buffer all new write commands received from the clients. When the background saving is complete, the primary transfers the database file to the replica, which saves it on disk, and then loads it into memory. The primary will then send all buffered commands to the replica. This is done as a stream of commands and is in the same format of the Valkey protocol itself.

You can try it yourself via telnet. Connect to the Valkey port while the server is doing some work and issue the SYNC command. You'll see a bulk transfer and then every command received by the primary will be re-issued in the telnet session. Actually SYNC is an old protocol no longer used by newer Valkey instances, but is still there for backward compatibility: it does not allow partial resynchronizations, so now PSYNC is used instead.

As already said, replicas are able to automatically reconnect when the primary-replica link goes down for some reason. If the primary receives multiple concurrent replica synchronization requests, it performs a single background save in to serve all of them.

Replication ID explained

In the previous section we said that if two instances have the same replication ID and replication offset, they have exactly the same data. However it is useful to understand what exactly is the replication ID, and why instances have actually two replication IDs: the main ID and the secondary ID.

A replication ID basically marks a given history of the data set. Every time an instance restarts from scratch as a primary, or a replica is promoted to primary, a new replication ID is generated for this instance. The replicas connected to a primary will inherit its replication ID after the handshake. So two instances with the same ID are related by the fact that they hold the same data, but potentially at a different time. It is the offset that works as a logical time to understand, for a given history (replication ID), who holds the most updated data set.

For instance, if two instances A and B have the same replication ID, but one with offset 1000 and one with offset 1023, it means that the first lacks certain commands applied to the data set. It also means that A, by applying just a few commands, may reach exactly the same state of B.

The reason why Valkey instances have two replication IDs is because of replicas that are promoted to primaries. After a failover, the promoted replica requires to still remember what was its past replication ID, because such replication ID was the one of the former primary. In this way, when other replicas will sync with the new primary, they will try to perform a partial resynchronization using the old primary replication ID. This will work as expected, because when the replica is promoted to primary, it sets its secondary ID to its main ID, remembering what was the offset when this ID switch happened. Later it will select a new random replication ID, because a new history begins. When handling the new replicas connecting, the primary will match their IDs and offsets both with the current ID and the secondary ID (up to a given offset, for safety). In short this means that after a failover, replicas connecting to the newly promoted primary don't have to perform a full sync.

In case you wonder why a replica promoted to primary needs to change its replication ID after a failover: it is possible that the old primary is still working as a primary because of some network partition: retaining the same replication ID would violate the fact that the same ID and same offset of any two random instances mean they have the same data set.

Diskless replication

Normally a full resynchronization requires creating an RDB file on disk, then reloading the same RDB from disk to feed the replicas with the data.

With slow disks this can be a very stressing operation for the primary. Valkey has support for diskless replication. In this setup the child process directly sends the RDB over the wire to replicas, without using the disk as intermediate storage.

Configuration

To configure basic Valkey replication is trivial: just add the following line to the replica configuration file:

replicaof 192.168.1.1 6379

Of course you need to replace 192.168.1.1 6379 with your primary IP address (or hostname) and port. Alternatively, you can call the REPLICAOF command and the primary host will start a sync with the replica.

There are also a few parameters for tuning the replication backlog taken in memory by the primary to perform the partial resynchronization. See the example valkey.conf shipped with the Valkey distribution for more information.

Diskless replication can be enabled using the repl-diskless-sync configuration parameter. The delay to start the transfer to wait for more replicas to arrive after the first one is controlled by the repl-diskless-sync-delay parameter. Please refer to the example valkey.conf file in the Valkey distribution for more details.

Read-only replica

Replicas are read-only by default. This behavior is controlled by the replica-read-only option in the valkey.conf file, and can be enabled and disabled at runtime using CONFIG SET.

Read-only replicas will reject all write commands, so that it is not possible to write to a replica because of a mistake. This does not mean that the feature is intended to expose a replica instance to the internet or more generally to a network where untrusted clients exist, because administrative commands like DEBUG or CONFIG are still enabled. The Security page describes how to secure a Valkey instance.

You may wonder why it is possible to revert the read-only setting and have replica instances that can be targeted by write operations. The answer is that writable replicas exist only for historical reasons. Using writable replicas can result in inconsistency between the primary and the replica, so it is not recommended to use writable replicas. To understand in which situations this can be a problem, we need to understand how replication works. Changes on the primary is replicated by propagating regular Valkey commands to the replica. When a key expires on the primary, this is propagated as a DEL command. If a key which exists on the primary but is deleted, expired or has a different type on the replica compared to the primary will react differently to commands like DEL, INCR or RPOP propagated from the primary than intended. The propagated command may fail on the replica or result in a different outcome. To minimize the risks (if you insist on using writable replicas) we suggest you follow these recommendations:

• Don't write to keys in a writable replica that are also used on the primary. (This can be hard to guarantee if you don't have control over all the clients that write to the primary.)

• Don't configure an instance as a writable replica as an intermediary step when upgrading a set of instances in a running system. In general, don't configure an instance as a writable replica if it can ever be promoted to a primary if you want to guarantee data consistency.

Historically, there were some use cases that were considered legitimate for writable replicas. As of version 7.0, these use cases are now all obsolete and the same can be achieved by other means. For example:

• Computing slow Set or Sorted set operations and storing the result in temporary local keys using commands like SUNIONSTORE and ZINTERSTORE. Instead, use commands that return the result without storing it, such as SUNION and ZINTER.

• Using the SORT command (which is not considered a read-only command because of the optional STORE option and therefore cannot be used on a read-only replica). Instead, use SORT_RO, which is a read-only command.

• Using EVAL and EVALSHA are also not considered read-only commands, because the Lua script may call write commands. Instead, use EVAL_RO and EVALSHA_RO where the Lua script can only call read-only commands.

While writes to a replica will be discarded if the replica and the primary resync or if the replica is restarted, there is no guarantee that they will sync automatically.

Before version 4.0, writable replicas were incapable of expiring keys with a time to live set. This means that if you use EXPIRE or other commands that set a maximum TTL for a key, the key will leak, and while you may no longer see it while accessing it with read commands, you will see it in the count of keys and it will still use memory. Valkey is able to evict keys with TTL as primaries do, with the exceptions of keys written in DB numbers greater than 63 (but by default Valkey instances only have 16 databases). Note though that even in versions greater than 4.0, using EXPIRE on a key that could ever exists on the primary can cause inconsistency between the replica and the primary.

Also note that replica writes are only local, and are not propagated to sub-replicas attached to the instance. Sub-replicas instead will always receive the replication stream identical to the one sent by the top-level primary to the intermediate replicas. So for example in the following setup:

A ---> B ---> C

Even if B is writable, C will not see B writes and will instead have identical dataset as the primary instance A.

Setting a replica to authenticate to a primary

If your primary has a password via requirepass, it's trivial to configure the replica to use that password in all sync operations.

To do it on a running instance, use valkey-cli and type:

config set primaryauth <password>

To set it permanently, add this to your config file:

primaryauth <password>

Allow writes only with N attached replicas

You can configure a Valkey primary to accept write queries only if at least N replicas are currently connected to the primary.

However, because Valkey uses asynchronous replication it is not possible to ensure the replica actually received a given write, so there is always a window for data loss.

This is how the feature works:

• Valkey replicas ping the primary every second, acknowledging the amount of replication stream processed.
• Valkey primaries will remember the last time it received a ping from every replica.
• The user can configure a minimum number of replicas that have a lag not greater than a maximum number of seconds.

If there are at least N replicas, with a lag less than M seconds, then the write will be accepted.

You may think of it as a best effort data safety mechanism, where consistency is not ensured for a given write, but at least the time window for data loss is restricted to a given number of seconds. In general bound data loss is better than unbound one.

If the conditions are not met, the primary will instead reply with an error and the write will not be accepted.

There are two configuration parameters for this feature:

• min-replicas-to-write <number of replicas>
• min-replicas-max-lag <number of seconds>

For more information, please check the example valkey.conf file shipped with the Valkey source distribution.

How Valkey replication deals with expires on keys

Valkey expires allow keys to have a limited time to live (TTL). Such a feature depends on the ability of an instance to count the time, however Valkey replicas correctly replicate keys with expires, even when such keys are altered using Lua scripts.

To implement such a feature Valkey cannot rely on the ability of the primary and replica to have synced clocks, since this is a problem that cannot be solved and would result in race conditions and diverging data sets, so Valkey uses three main techniques to make the replication of expired keys able to work:

1. Replicas don't expire keys, instead they wait for primaries to expire the keys. When a primary expires a key (or evicts it because of LRU), it synthesizes a DEL command which is transmitted to all the replicas.
2. However because of primary-driven expire, sometimes replicas may still have in memory keys that are already logically expired, since the primary was not able to provide the DEL command in time. To deal with that the replica uses its logical clock to report that a key does not exist only for read operations that don't violate the consistency of the data set (as new commands from the primary will arrive). In this way replicas avoid reporting logically expired keys that are still existing. In practical terms, an HTML fragments cache that uses replicas to scale will avoid returning items that are already older than the desired time to live.
3. During Lua scripts executions no key expiries are performed. As a Lua script runs, conceptually the time in the primary is frozen, so that a given key will either exist or not for all the time the script runs. This prevents keys expiring in the middle of a script, and is needed to send the same script to the replica in a way that is guaranteed to have the same effects in the data set.

Once a replica is promoted to a primary it will start to expire keys independently, and will not require any help from its old primary.

Configuring replication in Docker and NAT

When Docker, or other types of containers using port forwarding, or Network Address Translation is used, Valkey replication needs some extra care, especially when using Valkey Sentinel or other systems where the primary INFO or ROLE commands output is scanned to discover replicas' addresses.

The problem is that the ROLE command, and the replication section of the INFO output, when issued into a primary instance, will show replicas as having the IP address they use to connect to the primary, which, in environments using NAT may be different compared to the logical address of the replica instance (the one that clients should use to connect to replicas).

Similarly the replicas will be listed with the listening port configured into valkey.conf, that may be different from the forwarded port in case the port is remapped.

To fix both issues, it is possible to force a replica to announce an arbitrary pair of IP and port to the primary. The two configurations directives to use are:

replica-announce-ip 5.5.5.5
replica-announce-port 1234

And are documented in the example valkey.conf of recent Valkey distributions.

The INFO and ROLE command

There are two Valkey commands that provide a lot of information on the current replication parameters of primary and replica instances. One is INFO. If the command is called with the replication argument as INFO replication only information relevant to the replication are displayed. Another more computer-friendly command is ROLE, that provides the replication status of primaries and replicas together with their replication offsets, list of connected replicas and so forth.

Partial sync after restarts and failovers

When an instance is promoted to primary after a failover, it will still be able to perform a partial resynchronization with the replicas of the old primary. To do so, the replica remembers the old replication ID and offset of its former primary, so can provide part of the backlog to the connecting replicas even if they ask for the old replication ID.

However the new replication ID of the promoted replica will be different, since it constitutes a different history of the data set. For example, the primary can return available and can continue accepting writes for some time, so using the same replication ID in the promoted replica would violate the rule that a replication ID and offset pair identifies only a single data set.

Moreover, replicas - when powered off gently and restarted - are able to store in the RDB file the information needed to resync with their primary. This is useful in case of upgrades. When this is needed, it is better to use the SHUTDOWN command in order to perform a save & quit operation on the replica.

It is not possible to partially sync a replica that restarted via the AOF file. However the instance may be turned to RDB persistence before shutting down it, than can be restarted, and finally AOF can be enabled again.

Maxmemory on replicas

By default, a replica will ignore maxmemory (unless it is promoted to a primary after a failover or manually). It means that the eviction of keys will be handled by the primary, sending the DEL commands to the replica as keys evict in the primary side.

This behavior ensures that primaries and replicas stay consistent, which is usually what you want. However, if your replica is writable, or you want the replica to have a different memory setting, and you are sure all the writes performed to the replica are idempotent, then you may change this default (but be sure to understand what you are doing).

Note that since the replica by default does not evict, it may end up using more memory than what is set via maxmemory (since there are certain buffers that may be larger on the replica, or data structures may sometimes take more memory and so forth). Make sure you monitor your replicas, and make sure they have enough memory to never hit a real out-of-memory condition before the primary hits the configured maxmemory setting.

To change this behavior, you can allow a replica to not ignore the maxmemory. The configuration directives to use is:

replica-ignore-maxmemory no