This release is a pre-release and may not be stable for production use.
GoodData Foreign Data Wrapper
This project delivers PostgreSQL foreign data wrapper extension built on top of multicorn. The extension makes GoodData insights, computations and ad-hoc report data available in PostgreSQL as tables. It can be selected like any other table using SQL language.
See DOCUMENTATION for more details.
Requirements
-
GoodData installation; either running on your cloud infrastructure or the free Community Edition running on your workstation
-
Python 3.10 or newer
-
The GoodData Cloud Foreign Data Wrapper is tested with the latest version of multicorn (1.4.0) and PostgreSQL 12
Installation
Refer to the documentation.
Bugs & Requests
Please use the GitHub issue tracker to submit bugs or request features.
Changelog
Consult Github releases for a released versions and list of changes.
Limitations
FDW is suitable for small to medium insights results or scheduled reports created in the third party tools. Carefully consider use in a production environment.
1 maintainer
Metadata
1 maintainer
Release files for gooddata-fdw 1.75.1.dev2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gooddata_fdw-1.75.1.dev2.tar.gz | 66.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gooddata_fdw-1.75.1.dev2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 103.7 kB
Release files / gooddata_fdw-1.75.1.dev2.tar.gz
| Download URL | gooddata_fdw-1.75.1.dev2.tar.gz |
|---|---|
| Size | 66.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
16cc0c55a92cc86070831f976224a338592e43a2e237cfd2f22257eefc3d673c
|
|
BLAKE2b-256 checksum How to use checksums |
df1cecb9c2e23b49cfc51c0614a1241c5f46cc88f7ab8b20d2768e37fde16837
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency logRelease files / gooddata_fdw-1.75.1.dev2-py3-none-any.whl
| Download URL | gooddata_fdw-1.75.1.dev2-py3-none-any.whl |
|---|---|
| Size | 36.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9d4f98f4c9c48f09f42b7ec1cbcbe1fab2e456a84844d784e8251fa935dd1617
|
|
BLAKE2b-256 checksum How to use checksums |
d83e4236bbe9e8406883dc3a25b6773058475da291f121a8492b6e3fd3839e18
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency log
