Calendly
Calendly is a scheduling platform used for teams to schedule, prepare and follow up on external meetings.
The Calendly Wrapper is a WebAssembly(Wasm) foreign data wrapper which allows you to read data from your Calendly for use within your Postgres database.
Available Versions
Version | Wasm Package URL | Checksum |
---|---|---|
0.1.0 | https://github.com/supabase/wrappers/releases/download/wasm_calendly_fdw_v0.1.0/calendly_fdw.wasm |
51a19fa4b8c40afb5dcf6dc2e009189aceeba65f30eec75d56a951d78fc8893f |
Preparation
Before you can query Calendly, 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 Calendly 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 Calendly
We need to provide Postgres with the credentials to access Calendly 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 Calendly, required.
Supported objects are listed below:
Object name |
---|
current_user |
event_types |
groups |
organization_memberships |
scheduled_events |
Entities
Current User
This is an object representing your Calendly user profile.
Ref: Calendly API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Current User | ✅ | ❌ | ❌ | ❌ | ❌ |
Usage
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Notes
- The
attrs
column contains additional user attributes in JSON format - Use this table to retrieve the organization URI for server configuration, for example:
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select attrs->>'current_organization' as org_uri from calendly.current_user;
Event Types
This is an object representing Calendly event types.
Ref: Calendly API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Event Types | ✅ | ❌ | ❌ | ❌ | ❌ |
Usage
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Notes
- The
attrs
column contains all event type attributes in JSON format - Access profile and custom questions through JSON attributes:
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select attrs->'profile'->>'name' as profile_name, attrs->'custom_questions'->0->>'name' as first_question_name from calendly.event_types;
Groups
This is an object representing Calendly groups.
Ref: Calendly API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Groups | ✅ | ❌ | ❌ | ❌ | ❌ |
Usage
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Notes
- The
attrs
column contains all group attributes in JSON format
Organization Memberships
This is an object representing Calendly organization memberships.
Ref: Calendly API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Organization Membership | ✅ | ❌ | ❌ | ❌ | ❌ |
Usage
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Notes
- The
attrs
column contains all membership attributes in JSON format
Scheduled Events
This is an object representing Calendly scheduled events.
Ref: Calendly API docs
Operations
Object | Select | Insert | Update | Delete | Truncate |
---|---|---|---|---|---|
Scheduled Events | ✅ | ❌ | ❌ | ❌ | ❌ |
Usage
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Notes
- The
attrs
column contains all event attributes in JSON format
Query Pushdown Support
This FDW doesn't support query pushdown.
Supported Data Types
Postgres Data Type | Calendly Data Type |
---|---|
boolean | Boolean |
bigint | Number |
double precision | Number |
text | String |
timestamp | Time |
timestamptz | Time |
jsonb | Json |
The Calendly API uses JSON formatted data, please refer to Calendly API docs for more details.
Limitations
This section describes important limitations and considerations when using this FDW:
- Large result sets may experience slower performance due to full data transfer requirement
- Organization URI must be manually configured after initial setup
- Materialized views using these foreign tables may fail during logical backups
Examples
Below are some examples on how to use Calendly foreign tables.
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 from it. See more examples below.
Query JSON attributes
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Some other examples,
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