Paddle
Paddle is a merchant of record that acts to provide a payment infrastructure to thousands of software companies around the world.
The Paddle Wrapper is a WebAssembly(Wasm) foreign data wrapper which allows you to read and write data from Paddle within your Postgres database.
Available Versions
Version | Wasm Package URL | Checksum |
---|---|---|
0.1.1 | https://github.com/supabase/wrappers/releases/download/wasm_paddle_fdw_v0.1.1/paddle_fdw.wasm |
c5ac70bb2eef33693787b7d4efce9a83cde8d4fa40889d2037403a51263ba657 |
0.1.0 | https://github.com/supabase/wrappers/releases/download/wasm_paddle_fdw_v0.1.0/paddle_fdw.wasm |
7d0b902440ac2ef1af85d09807145247f14d1d8fd4d700227e5a4d84c8145409 |
Preparation
Before you can query Paddle, you need to enable the Wrappers extension and store your credentials in Postgres.
Enable Wrappers
Make sure the wrappers
extension is installed on your database:
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Enable the Paddle Wrapper
Enable the Wasm foreign data wrapper:
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Store your credentials (optional)
By default, Postgres stores FDW credentials inside pg_catalog.pg_foreign_server
in plain text. Anyone with access to this table will be able to view these credentials. Wrappers is designed to work with Vault, which provides an additional level of security for storing credentials. We recommend using Vault to store your credentials.
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Connecting to Paddle
We need to provide Postgres with the credentials to access Paddle, and any additional options. We can do this using the create server
command:
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Note the fdw_package_*
options are required, which specify the Wasm package metadata. You can get the available package version list from above.
Create a schema
We recommend creating a schema to hold all the foreign tables:
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Options
The full list of foreign table options are below:
object
- Object name in Paddle, required.
Supported objects are listed below:
Object |
---|
products |
prices |
discounts |
customers |
transactions |
reports |
notification-settings |
notifications |
rowid_column
- Primary key column name, optional for data scan, required for data modify
Entities
Products
This is an object representing Paddle Products.
Ref: Paddle API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Products | ✅ | ✅ | ✅ | ❌ | ❌ |
Usage
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Notes
- Requires
rowid_column
option for data modification operations - Query pushdown supported for
id
column - Product type can be extracted using:
attrs->>'type'
Customers
This is an object representing Paddle Customers.
Ref: Paddle API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Customers | ✅ | ✅ | ✅ | ❌ | ❌ |
Usage
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Notes
- Requires
rowid_column
option for data modification operations - Query pushdown supported for
id
column - Custom data stored in dedicated
custom_data
column
Subscriptions
This is an object representing Paddle Subscriptions.
Ref: Paddle API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Subscriptions | ✅ | ✅ | ✅ | ❌ | ❌ |
Usage
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Notes
- Requires
rowid_column
option for data modification operations - Query pushdown supported for
id
column - Subscription items status can be extracted using:
attrs#>'{items,status}'
Query Pushdown Support
This FDW supports where
clause pushdown with id
as the filter. For example,
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Supported Data Types
Postgres Data Type | Paddle Data Type |
---|---|
boolean | Boolean |
smallint | Money |
integer | Money |
bigint | Money |
real | Money |
double precision | Money |
numeric | Money |
text | Text |
date | Dates and time |
timestamp | Dates and time |
timestamptz | Dates and time |
The Paddle API uses JSON formatted data, please refer to Paddle docs for more details.
Limitations
This section describes important limitations and considerations when using this FDW:
- Query pushdown is only supported for the
id
column, resulting in full table scans for other filters - Large result sets may experience slower performance due to full data transfer requirement
- Materialized views using these foreign tables may fail during logical backups
Examples
Basic Example
This example will create a "foreign table" inside your Postgres database and query its data.
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attrs
is a special column which stores all the object attributes in JSON format, you can extract any attributes needed or its associated sub objects from it. See more examples below.
Query JSON Attributes
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Data Modify Example
This example will modify data in a "foreign table" inside your Postgres database, note that rowid_column
option is mandatory for data modify:
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