Durability#
Overview#
EDB Postgres Distributed allows you to choose from several replication configurations based on your durability, consistency, availability, and performance needs using commit scopes.
In its basic configuration, EDB Postgres Distributed uses asynchronous
replication. However, commit scopes can change both the default and the
per-transaction behavior. It’s also possible to configure the legacy
Postgres synchronous replication using standard
synchronous_standby_names in the same way as the built-in physical
or logical replication. However, commit scopes provide much more
flexibility and control over the replication behavior.
The different synchronization settings affect three properties of interest to applications that are related but can all be implemented individually:
Durability: Writing to multiple nodes increases crash resilience and allows you to recover the data after a crash and restart.
Visibility: With the commit confirmation to the client, the database guarantees immediate visibility of the committed transaction on some sets of nodes.
Conflict handling: Conflicts can be handled optimistically postcommit, with conflicts resolved when the transaction is replicated based on commit timestamps. Or, they can be handled pessimistically precommit. The client can rely on the transaction to eventually be applied on all nodes without further conflicts or get an abort, directly informing the client of an error.
Commit scopes allow two ways of controlling durability of the transaction:
Group commit . This option controls which and how many nodes have to reach a consensus before the transaction is considered to be committable and at what stage of replication it can be considered committed. This option also allows you to control the visibility ordering of the transaction.
CAMO or commit-at-most-once . This option is a variant of Group Commit in which the client is part of the consensus.
Lag Control . This option controls how far behind nodes can be in terms of replication before allowing commit to proceed.
Postgres provides physical streaming replication
(PSR), which is unidirectional but offers a synchronous variant . For backward
compatibility, PGD still supports configuring synchronous replication
with synchronous_commit and synchronous_standby_names . See
Legacy synchronous replication using PGD , but consider using Group commit instead.
Terms and definitions#
PGD nodes take different roles during the replication of a transaction. These are implicitly assigned per transaction and are unrelated even for concurrent transactions.
The origin is the node that receives the transaction from the client or application. It’s the node processing the transaction first, initiating replication to other PGD nodes and responding back to the client with a confirmation or an error.
A partner node is a PGD node expected to confirm transactions according to Group Commit requirements.
A commit group is the group of all PGD nodes involved in the commit, that is, the origin and all of its partner nodes, which can be just a few or all peer nodes.
Comparison#
Most options for synchronous replication available to PGD allow for different levels of synchronization, offering different tradeoffs between performance and protection against node or network outages.
The following table summarizes what a client can expect from a peer node
replicated to after receiving a COMMIT confirmation from the origin node
the transaction was issued to. The Mode column takes on different
meaning depending on the variant. For PSR and legacy synchronous
replication with PGD, it refers to the synchronous_commit setting.
For commit scopes, it refers to the confirmation requirements of the
Written to the OS, durable if the OS remains running and only Postgres crashes.*
Unless switched to local mode (if allowed) by setting
synchronous_replication_availabilitytoasync', otherwise the values for the asynchronous PGD default apply.*
Consider using Group Commit instead.*
Reception ensures the peer operating normally can eventually apply the transaction without requiring any further communication, even in the face of a full or partial network outage. A crash of a peer node might still require retransmission of the transaction, as this confirmation doesn’t involve persistent storage. All modes considered synchronous provide this protection.
Visibility implies the transaction was applied remotely. All other clients see the results of the transaction on all nodes, providing this guarantee immediately after the commit is confirmed by the origin node. Without visibility, other clients connected might not see the results of the transaction and experience stale reads.
Durability relates to the peer node’s storage and provides protection against loss of data after a crash and recovery of the peer node. This can either relate to the reception of the data (as with physical streaming replication) or to visibility (as with Group Commit). The former eliminates the need for retransmissions after a crash, while the latter ensures visibility is maintained across restarts.
Internal timing of operations#
For a better understanding of how the different modes work, it’s helpful to realize PSR and PGD apply transactions differently.
With physical streaming replication, the order of operations is:
Origin flushes a commit record to WAL, making the transaction visible locally.
Peer node receives changes and issues a write.
Peer flushes the received changes to disk.
Peer applies changes, making the transaction visible locally.
With PGD, the order of operations is different:
Origin flushes a commit record to WAL, making the transaction visible locally.
Peer node receives changes into its apply queue in memory.
Peer applies changes, making the transaction visible locally.
Peer persists the transaction by flushing to disk.
For Group Commit, CAMO, and Eager, the origin node waits for a certain number of confirmations prior to making the transaction visible locally. The order of operations is:
Origin flushes a prepare or precommit record to WAL.
Peer node receives changes into its apply queue in memory.
Peer applies changes, making the transaction visible locally.
Peer persists the transaction by flushing to disk.
Origin commits and makes the transaction visible locally.
The following table summarizes the differences.
Variant |
Order of apply vs persist |
Replication before or after commit |
|---|---|---|
PSR |
persist first |
after WAL flush of commit record |
PGD Async |
apply first |
after WAL flush of commit record |
PGD Lag Control |
apply first |
after WAL flush of commit record |
PGD Group Commit |
apply first |
before COMMIT on origin |
PGD CAMO |
apply first |
before COMMIT on origin |
Configuration#
You configure commit scopes using an SQL function just like other administration operations in PGD.
For example, you might define a basic commit scope that does Group Commit on a majority of nodes in the example_group PGD group:
SELECT bdr.add_commit_scope(
commit_scope_name := example_scope,
origin_node_group := example_group,
rule := ANY MAJORITY (example_group) GROUP COMMIT,
wait_for_ready := true
);
You can then use the commit scope either by setting the configuration
variable (GUC) bdr.commit_scope either per transaction or globally
to that commit scope:
BEGIN;
SET LOCAL bdr.commit_scope = example_scope;
...
COMMIT;
You can also set the default commit scope for a given PGD group:
SELECT bdr.alter_node_group_option(
node_group_name := example_group,
config_key := default_commit_scope,
config_value := example_scope
);
The default_commit_scope is checked in the group tree that the given
origin node belongs to from bottom to top. The default_commit_scope
can’t be set to the special value local , which means there’s no way
for the commit scope to use the bdr.commit_scope configuration
parameter.
For full details of the commit scope language with all the options described, see Commit scopes .
Postgres configuration parameters#
The following table provides an overview of the configuration settings that you must set to a non-default value (req) and those that are optional (opt) but affecting a specific variant.
Planned shutdown and restarts#
When using Group Commit with receive confirmations, take care with
planned shutdown or restart. By default, the apply queue is consumed
prior to shutting down. However, in the immediate shutdown mode, the
queue is discarded at shutdown, leading to the stopped node “forgetting”
transactions in the queue. A concurrent failure of the origin node can
lead to loss of data, as if both nodes failed.
To ensure the apply queue gets flushed to disk, use either smart or
fast shutdown for maintenance tasks. This approach maintains the
required synchronization level and prevents loss of data.
Legacy synchronous replication using PGD#
Note
Consider using Group commit instead.
Usage#
To enable synchronous replication using PGD, you need to add the
application name of the relevant PGD peer nodes to
synchronous_standby_names . The use of FIRST x or ANY x
offers some flexibility if this doesn’t conflict with the requirements
of non-PGD standby nodes.
Once you’ve added it, you can configure the level of synchronization per
transaction using synchronous_commit , which defaults to on .
This setting means that adding the application name to to
synchronous_standby_names already enables synchronous replication.
Setting synchronous_commit to local or off turns off
synchronous replication.
Due to PGD applying the transaction before persisting it, the values
on and remote_apply are equivalent for logical replication.
Migration to commit scopes#
You configure the Group Commit feature of PGD independent of
synchronous_commit and synchronous_standby_names . Instead, the
bdr.commit_scope GUC allows you to select the scope per transaction.
And instead of configuring synchronous_standby_names on each node
individually, Group Commit uses globally synchronized commit scopes.
Note
While the grammar for synchronous_standby_names and commit scopes looks similar, the former doesn't account for the origin node, but the latter does. Therefore, for example, synchronous_standby_names = 'ANY 1 (..)' is equivalent to a commit scope of ANY 2 (...) . This choice makes reasoning about majority easier and reflects that the origin node also contributes to the durability and visibility of the transaction.
- Commit scopes
- Group Commit
- Commit At Most Once
- Requirements
- Configuration
- Failure scenarios
- Application use
- Overview and requirements
- CAMO partner connection status
- Synopsis
- Return value
- CAMO partner readiness
- Synopsis
- Return value
- Fetch the CAMO partner
- Wait for consumption of the apply queue from the CAMO partner
- Synopsis
- Transaction status between CAMO nodes
- Transaction status query function
- Synopsis
- Parameters
- Return value
- Connection pools and proxies
- Example
- Interaction with DDL and global locks
- CAMO limitations
- Performance implications
- Client application testing
- Lag Control