TimescaleDB supports replication using PostgreSQL's built-in streaming replication. Using logical replication with TimescaleDB is not recommended, as it requires schema synchronization between the primary and replica nodes and replicating partition root tables, which are not currently supported.
This tutorial will outline the basic configuration needed to set up streaming replication on one or more replicas, covering both synchronous and asynchronous options. It assumes you have at least two separate instances of TimescaleDB running. If you're using our Docker Image, we recommend using a PostgreSQL entrypoint script to run the configuration. For our sample Docker configuration and run scripts, check out our Streaming Replication Docker Repository.
Create a PostgreSQL user with a role that allows it to initialize streaming
replication. This will be the user each replica uses to stream from the primary
database. Run the command as the
postgres user, or another user that is
configured with superuser privileges on the database you're working with.
SET password_encryption = 'scram-sha-256'; CREATE ROLE repuser WITH REPLICATION PASSWORD 'password' LOGIN;
md5authentication by replacing the first line in the above SQL with
SET password_encryption = true;and changing the
md5. (see Configure Host Based Authentication)
There are several replication settings that must be added to
(if you're unsure of where PostgreSQL is reading
postgresql.conf from, just
show config_file; in a
psql shell). You can either comment out the
existing settings in
postgresql.conf and add the desired value, or you can
simply append the desired settings to the
synchronous_commit has a number of settings that strongly impact data
consistency and performance. For this tutorial, we'll focus on the common
setting of turning
synchronous_commit off. For more detail on the different
modes, see Replication Modes
max_wal_senders- The total number of concurrent connections from replicas or backup clients. At the very least, this should equal the number of replicas you intend to have.
wal_level- The amount of information written to the PostgreSQL Write-Ahead Log (WAL). For replication to work, there needs to be enough data in the WAL to support archiving and replication. The default level of
replicacovers this, but it bears mentioning here since it is an absolute requirement for streaming replication.
max_replication_slots- The total number of replication slots the primary database can support. See below for more information about replication slots.
listen_address- Since remote replicas will be connecting to the primary to stream the WAL, we'll need to make sure that the primary is not just listening on the local loopback.
The most common streaming replication use case is asynchronous replication with one or more replicas. We'll use that as that as our sample configuration.
In cases where you need stronger consistency on the replicas or where your query load is heavy enough to cause significant lag between the primary and replica nodes in asyncronous mode, you may want to consider one of the synchronous replication configurations.
listen_addresses = '*' wal_level = replica max_wal_senders = 1 max_replication_slots = 1 synchronous_commit = off
In this example, the WAL will be streamed to the replica, but the primary server will not wait for confirmation that the WAL has been written to disk on either the primary or the replica. This is the most performant replication configuration, but it does carry the risk of a small amount of data loss in the event of a system crash. It also makes no guarantees that the replica will be fully up to date with the primary, which could cause inconsistencies between read queries on the primary and the replica.
For replication settings to apply, you must restart PostgreSQL, not just reload the configuration file. This needs to be done before creating replication slots in the next step.
postgresql.conf and restarting PostgreSQL, create a
replication slot for each replica. Replication slots
ensure that the primary does not delete segments from the WAL until they have
been received by the replicas. This is crucial for cases where a replica goes
down for extended periods of time -- without verifying that a WAL segment has
already been consumed by a replica, the primary may delete data needed for
replication. To some extent, you can achieve this using
archiving, but replication slots provide the strongest
protection of WAL data for streaming replication. The name of the slot is
arbitrary -- we'll call the slot for this replica
SELECT * FROM pg_create_physical_replication_slot('replica_1_slot');
pg_hba.conf file (run
show hba_file; in a
psql shell if
you're unsure of its location) to accept connections from the replication user
on the host of each replica.
# TYPE DATABASE USER ADDRESS METHOD AUTH_METHOD host replication repuser <REPLICATION_HOST_IP>/32 scram-sha-256
REPLICATION_HOST_IPas the PostgreSQL user
repuserwith a valid password.
REPLICATION_HOST_IPwill be able to initiate streaming replication from that machine without additional credentials. You may want to change the
methodvalues to match your security and network settings. Read more about
pg_hba.confin the official documentation.
Replicas work by streaming the primary server's WAL log and replaying its transactions in what PostgreSQL calls "recovery mode". Before this can happen, the replica needs to be in a state where it can replay the log. This is achieved by restoring the replica from a base backup of the primary instance.
Stop PostgreSQL. If the replica's PostgreSQL database already has data, you will
need to remove it prior to running the backup. This can be done by removing the
contents of the PostgreSQL data directory. To determine the location of the
data directory, run
show data_directory; in a
rm -rf <DATA_DIRECTORY>/*
Now run the
pg_basebackup command using the IP address of the primary database
along with the replication username.
pg_basebackup -h <PRIMARY_IP> -D <DATA_DIRECTORY> -U repuser -vP -W
When the backup finishes, create a recovery.conf file
in your data directory, ensuring it has the proper permissions. When
PostgreSQL finds a
recovery.conf file in its data directory, it knows to start
up in recovery mode and begin streaming the WAL through the replication
touch <DATA_DIRECTORY>/recovery.conf chmod 0600 <DATA_DIRECTORY>/recovery.conf
Add settings for communicating with the primary server to
streaming replication, the
primary_conninfo should be
the same as the name used in the primary's
standby_mode = on # Ensures that the replica continues to fetch WAL records from the primary primary_conninfo = 'host=<PRIMARY_IP> port=5432 user=repuser password=<POSTGRES_USER_PASSWORD> application_name=r1' primary_slot_name = 'replica_1_slot' # Name of the replication slot we created on the master
Next, update the
postgresql.conf file to mirror the configuration of the
primary database. For asynchronous replication, this would look like:
hot_standby = on wal_level = replica max_wal_senders = 2 max_replication_slots = 2 synchronous_commit = off
hot_standbymust be set to
on. This allows read-only queries on the replica. By default, this setting is set to
onin PostgreSQL 10, but in earlier versions it defaults to
Finally, restart PostgreSQL. At this point, the replica should be fully synchronized with the primary database and prepared to stream from it. The logs on the replica should look something like this:
LOG: database system was shut down in recovery at 2018-03-09 18:36:23 UTC LOG: entering standby mode LOG: redo starts at 0/2000028 LOG: consistent recovery state reached at 0/3000000 LOG: database system is ready to accept read only connections LOG: started streaming WAL from primary at 0/3000000 on timeline 1
Any clients will be able to perform reads on the replica. Verify this by running inserts, updates, or other modifications to your data on the primary and querying the replica to ensure they have been properly copied over. This is fully compatible with TimescaleDB's functionality, provided you set up TimescaleDB on the primary database.
This walkthrough gets asynchronous streaming replication working, but
in many cases stronger consistency between the primary and replicas is
required. Under heavy workloads, replicas can lag far behind the primary,
providing stale data to clients reading from the replicas. Moreover, in cases
where any data loss is fatal, asynchronous replication may not provide enough
of a durability guarantee. Luckily
synchronous_commit has several options
with varying consistency/performance tradeoffs:
synchronous_standby_namesis empty, the settings
localall provide the same synchronization level: transaction commits only wait for local flush to disk.
on- Default value. The server will not return "success" until the WAL transaction has been written to disk on the primary and any replicas.
off- The server will return "success" when the WAL transaction has been sent to the operating system to write to the WAL on disk on the primary, but will not wait for the operating system to actually write it. This can cause a small amount of data loss if the server crashes when some data has not been written, but it will not result in data corruption. Turning
synchronous_commitoff is a well known PostgreSQL optimization for workloads that can withstand some data loss in the event of a system crash.
onbehavior only on the primary server.
remote_write- The database will return "success" to a client when the WAL record has been sent to the operating system for writing to the WAL on the replicas, but before confirmation that the record has actually been persisted to disk. This is basically asynchronous commit except it waits for the replicas as well as the primary. In practice, the extra wait time incurred waiting for the replicas significantly decreases replication lag.
remote_apply- Requires confirmation that the WAL records have been written to the WAL and applied to the databases on all replicas. This provides the strongest consistency of any of the
synchronous_commitoptions. In this mode, replicas will always reflect the latest state of the primary, and the concept of replication lag (see Replication Diagnostics) is basically non-existent.
This matrix visualizes the level of consistency each mode provides:
|Mode||WAL Sent to OS (Primary)||WAL Persisted (Primary)||WAL Sent to OS (Primary + Replicas)||WAL Persisted (Primary + Replicas)||Transaction Applied (Primary + Replicas)|
An important complementary setting to
synchronous_standby_names. This setting lists the names of all replicas the
primary database will support for synchronous replication, and configures how
the primary database will wait for them. The setting supports several
FIRST num_sync (replica_name_1, replica_name_2)- This will wait for confirmation from the first
num_syncreplicas before returning "success". The list of replica_names determines the relative priority of the replicas. Replica names are determined by the
application_namesetting on the replicas.
ANY num_sync (replica_name_1, replica_name_2)- This will wait for confirmation from
num_syncreplicas in the provided list, regardless of their priority/position in the list. This is essentially a quorum function.
synchronous_commitlevel. This could cause the primary to hang indefinitely if a required replica crashes. When the replica reconnects, it will replay any of the WAL it needs to catch up. Only then will the primary be able to resume writes. To mitigate this, provision more than the amount of nodes required under the
synchronous_standby_namessetting and list them in the
ANYclauses. This will allow the primary to move forward as long as a quorum of replicas have written the most recent WAL transaction. Replicas that were out of service will be able to reconnect and replay the missed WAL transactions asynchronously.
PostgreSQL provides a valuable view for getting information about each replica
-- pg_stat_replication. Run
select * from
pg_stat_replication; from the primary database to view this data. The output
looks like this:
-[ RECORD 1 ]----+------------------------------ pid | 52343 usesysid | 16384 usename | repuser application_name | r2 client_addr | 10.0.13.6 client_hostname | client_port | 59610 backend_start | 2018-02-07 19:07:15.261213+00 backend_xmin | state | streaming sent_lsn | 16B/43DB36A8 write_lsn | 16B/43DB36A8 flush_lsn | 16B/43DB36A8 replay_lsn | 16B/43107C28 write_lag | 00:00:00.009966 flush_lag | 00:00:00.03208 replay_lag | 00:00:00.43537 sync_priority | 2 sync_state | sync -[ RECORD 2 ]----+------------------------------ pid | 54498 usesysid | 16384 usename | repuser application_name | r1 client_addr | 10.0.13.5 client_hostname | client_port | 43402 backend_start | 2018-02-07 19:45:41.410929+00 backend_xmin | state | streaming sent_lsn | 16B/43DB36A8 write_lsn | 16B/43DB36A8 flush_lsn | 16B/43DB36A8 replay_lsn | 16B/42C3B9C8 write_lag | 00:00:00.019736 flush_lag | 00:00:00.044073 replay_lag | 00:00:00.644004 sync_priority | 1 sync_state | sync
This view is particularly useful for calculating replication lag, which
measures how far behind the primary the current state of the replica is. The
replay_lag field gives a measure of the seconds between the most recent WAL
transaction on the primary and the last reported database commit on the replica.
flush_lag, this provides insight into how far
behind the replica is. The
*_lsn fields also come in handy, allowing you to
compare WAL locations between the primary and the replicas. Finally, the
state field is useful for determining exactly what each replica is currently
doing (available modes are
PostgreSQL offers failover functionality (i.e., promoting the replica to the
primary in the event of a failure on the primary) through pg_ctl
trigger_file, but it does not provide out-of-the-box support for
automatic failover. Read more in the PostgreSQL failover
documentation). patroni offers a configurable
high availability solution with automatic failover functionality.
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