PostgreSQL Extension
The PostgreSQL extension allows Kùzu to directly scan data from PostgreSQL databases.
Currently, this is done by LOAD FROM
statements.
This allows users to not only view their PostgreSQL tables in Kùzu, but also facilitates seamless
migration of data from PostgreSQL to Kùzu for deeper graph analysis. Currently, the extension is read-only
from PostgreSQL and does not support write operations.
Usage
postgres
is an official extension developed and maintained by Kùzu.
It can be installed and loaded by running the following commands using the CLI or your preferred language
client API:
Direct scan from PostgreSQL
This section shows how to directly scan from PostgreSQL tables to Kùzu using the LOAD FROM
statement.
Set up a PostgreSQL server via Docker
It’s convenient to set up a PostgreSQL server using Docker. Run the following command to start a PostgreSQL server on your local machine:
Note that the storage volume for this database is not persistent and will be deleted once the container is stopped. Moreover, the password is provided via plain text, which is not recommended in a real use case, so the below example is for testing purposes only.
Create a sample PostgreSQL database
To illustrate the usage of the extension, we create a sample Postgres database of university
students. We will use asyncpg,
an asynchronous PostgreSQL client library for Python, to create the database and insert some sample data
via a Python script.
This step assumes you have run pip install asyncpg
to install the library, and are using Python 3.10+.
Attach PostgreSQL instance in Kùzu
The below example shows how the university
PostgreSQL database can be attached to Kùzu using
the alias uw
:
The ATTACH
statement requires the following parameters:
PG_CONNECTION_STRING
: PostgreSQL connection string with the necessary parametersalias
: Database alias to use in Kùzu - If not provided, the database name from PostgreSQL will be used. When attaching multiple databases, it’s recommended to use aliasing.
The below table lists some common connection string parameters:
Parameter | Description | Default |
---|---|---|
dbname | Database name | [user defined] |
host | Host IP address | localhost |
user | Postgres username | postgres |
password | Postgres password | [empty] |
port | Port number | 5432 |
Scan from PostgreSQL tables
Finally, we can utilize the LOAD FROM
statement to scan the Person
table.
Result:
Data migration from PostgreSQL tables
One important use case of the PostgreSQL extension is to facilitate seamless data transfer from PostgreSQL to Kùzu.
In this example, we continue using the university
database created in the last step, but this time,
we copy the data and persist it to Kùzu. This is done with the COPY FROM
query results feature.
Create a Person
table in Kùzu
We first create a Person
table in Kùzu which has the same schema as the one defined in PostgreSQL.
Use COPY FROM
to migrate data
We can reference the created alias uw
to copy data from the PostgreSQL table to the Kùzu table.
Query the data in Kùzu
Finally, we can verify the data in the Person
table in Kùzu.
Result:
Clear attached database schema cache
To avoid redundantly retrieving schema information from attached databases, Kùzu maintains a schema cache
including table names and their respective columns and types. Should modifications occur in the schema
via an alternate connection to attached databases (PosgreSQL or some other attachad database), such as creation or deletion of tables, the cached
schema data may become obsolete. You can use the clear_attached_db_cache()
function to refresh cached
schema information in such cases.
Note: this call function will clear cache of all attached databases.
USE
statement
The USE
statement for attached databases sets a default database name to use for future operations.
This can be used when reading from an attached database to avoid specifying the full database name
as a prefix to the table name.
Consider the same attached database as above:
Instead of defining the Postgres database name for each subsequent clause like this:
You can do: