The solana-geyser-plugin-postgres crate implements a plugin storing account data to a PostgreSQL database to illustrate how a plugin can be developed to work with Solana validators using the Plugin Framework.

Configuration File Format

The plugin is configured using the input configuration file. An example configuration file looks like the following:

{
	"libpath": "/solana/target/release/libsolana_geyser_plugin_postgres.so",
	"host": "postgres-server",
	"user": "solana",
	"port": 5433,
	"threads": 20,
	"batch_size": 20,
	"panic_on_db_errors": true,
	"accounts_selector" : {
		"accounts" : ["*"]
	}
}

The host, user, and port control the PostgreSQL configuration information. For more advanced connection options, please use the connection_str field. Please see Rust Postgres Configuration.

To improve the throughput to the database, the plugin supports connection pooling using multiple threads, each maintaining a connection to the PostgreSQL database. The count of the threads is controlled by the threads field. A higher thread count usually offers better performance.

To further improve performance when saving large numbers of accounts at startup, the plugin uses bulk inserts. The batch size is controlled by the batch_size parameter. This can help reduce the round trips to the database.

The panic_on_db_errors can be used to panic the validator in case of database errors to ensure data consistency.

Support Connection Using SSL

To connect to the PostgreSQL database via SSL, set use_ssl to true, and specify the server certificate, the client certificate and the client key files in PEM format using the server_ca, client_cert and client_key fields respectively. For example:

    "use_ssl": true,
    "server_ca": "/solana/.ssh/server-ca.pem",
    "client_cert": "/solana/.ssh/client-cert.pem",
    "client_key": "/solana/.ssh/client-key.pem",

Account Selection

The accounts_selector can be used to filter the accounts that should be persisted.

For example, one can use the following to persist only the accounts with particular Base58-encoded Pubkeys,

    "accounts_selector" : {
         "accounts" : ["pubkey-1", "pubkey-2", ..., "pubkey-n"],
    }

Or use the following to select accounts with certain program owners:

    "accounts_selector" : {
         "owners" : ["pubkey-owner-1", "pubkey-owner-2", ..., "pubkey-owner-m"],
    }

To select all accounts, use the wildcard character (*):

    "accounts_selector" : {
         "accounts" : ["*"],
    }

Transaction Selection

transaction_selector, controls if and what transactions to store. If this field is missing, none of the transactions are stored.

For example, one can use the following to select only the transactions referencing accounts with particular Base58-encoded Pubkeys,

"transaction_selector" : {
    "mentions" : \["pubkey-1", "pubkey-2", ..., "pubkey-n"\],
}

The mentions field supports wildcards to select all transaction or all 'vote' transactions. For example, to select all transactions:

"transaction_selector" : {
    "mentions" : \["*"\],
}

To select all vote transactions:

"transaction_selector" : {
    "mentions" : \["all_votes"\],
}

Database Setup

Install PostgreSQL Server

Please follow PostgreSQL Ubuntu Installation on instructions to install the PostgreSQL database server. For example, to install postgresql-14,

sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list'
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
sudo apt-get update
sudo apt-get -y install postgresql-14

Control the Database Access

Modify the pg_hba.conf as necessary to grant the plugin to access the database. For example, in /etc/postgresql/14/main/pg_hba.conf, the following entry allows nodes with IPs in the CIDR 10.138.0.0/24 to access all databases. The validator runs in a node with an ip in the specified range.

host    all             all             10.138.0.0/24           trust

It is recommended to run the database server on a separate node from the validator for better performance.

Configure the Database Performance Parameters

Please refer to the PostgreSQL Server Configuration for configuration details. The referential implementation uses the following configurations for better database performance in the /etc/postgresql/14/main/postgresql.conf which are different from the default postgresql-14 installation.

max_connections = 200                  # (change requires restart)
shared_buffers = 1GB                   # min 128kB
effective_io_concurrency = 1000        # 1-1000; 0 disables prefetching
wal_level = minimal                    # minimal, replica, or logical
fsync = off                            # flush data to disk for crash safety
synchronous_commit = off               # synchronization level;
full_page_writes = off                 # recover from partial page writes
max_wal_senders = 0                    # max number of walsender processes

The sample scripts/postgresql.conf can be used for reference.

Create the Database Instance and the Role

Start the server:

sudo systemctl start postgresql@14-main

Create the database. For example, the following creates a database named 'solana':

sudo -u postgres createdb solana -p 5433

Create the database user. For example, the following creates a regular user named 'solana':

sudo -u postgres createuser -p 5433 solana

Verify the database is working using psql. For example, assuming the node running PostgreSQL has the ip 10.138.0.9, the following command will land in a shell where SQL commands can be entered:

psql -U solana -p 5433 -h 10.138.0.9 -w -d solana

Create the Schema Objects

Use the scripts/create_schema.sql

psql -U solana -p 5433 -h 10.138.0.9 -w -d solana -f scripts/create_schema.sql

After this, start the validator with the plugin by using the --geyser-plugin-config argument mentioned above.

Destroy the Schema Objects

To destroy the database objects, created by create_schema.sql, use drop_schema.sql. For example,

psql -U solana -p 5433 -h 10.138.0.9 -w -d solana -f scripts/drop_schema.sql

Capture Historical Account Data

To capture account historical data, in the configuration file, turn store_account_historical_data to true.

And ensure the database trigger is created to save data in the audit_table when records in account are updated, as shown in create_schema.sql,

CREATE FUNCTION audit_account_update() RETURNS trigger AS $audit_account_update$
    BEGIN
		INSERT INTO account_audit (pubkey, owner, lamports, slot, executable, rent_epoch, data, write_version, updated_on)
            VALUES (OLD.pubkey, OLD.owner, OLD.lamports, OLD.slot,
                    OLD.executable, OLD.rent_epoch, OLD.data, OLD.write_version, OLD.updated_on);
        RETURN NEW;
    END;

$audit_account_update$ LANGUAGE plpgsql;

CREATE TRIGGER account_update_trigger AFTER UPDATE OR DELETE ON account
    FOR EACH ROW EXECUTE PROCEDURE audit_account_update();

The trigger can be dropped to disable this feature, for example,

DROP TRIGGER account_update_trigger ON account;

Over time, the account_audit can accumulate large amount of data. You may choose to limit that by deleting older historical data.

For example, the following SQL statement can be used to keep up to 1000 of the most recent records for an account:

delete from account_audit a2 where (pubkey, write_version) in
    (select pubkey, write_version from
        (select a.pubkey, a.updated_on, a.slot, a.write_version, a.lamports,
            rank() OVER ( partition by pubkey order by write_version desc) as rnk
            from account_audit a) ranked
            where ranked.rnk > 1000)

Main Tables

The following are the tables in the Postgres database

Table	Description
account	Account data
block	Block metadata
slot	Slot metadata
transaction	Transaction data
account_audit	Account historical data

Performance Considerations

When a validator lacks sufficient computing power, the overhead of saving the account data can cause it to fall behind the network especially when all accounts or a large number of accounts are selected. The node hosting the PostgreSQL database needs to be powerful enough to handle the database loads as well. It has been found using GCP n2-standard-64 machine type for the validator and n2-highmem-32 for the PostgreSQL node is adequate for handling transmitting all accounts while keeping up with the network. In addition, it is best to keep the validator and the PostgreSQL in the same local network to reduce latency. You may need to size the validator and database nodes differently if serving other loads.