InterSystems IRIS support for Apache Superset
Apache Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
How to test with IRIS
- Clone this repository
git clone https://github.com/caretdev/superset-iris.git superset-iris
cd superset-iris
- Start Superset with Docker-Compose
docker-compose pull
docker-compose up -d
- During the start it imports example data to IRIS Database, it will take a while, to wait until it's done, run this command
docker-compose logs -f superset-init
In addition there is
docker-compose-simple.ymlfile, which contains only superset and IRIS, it loads examples too, but with no way to see the progress, but through Superset UIdocker-compose -f docker-compose-simple.yml up -d --build
When the command above will finish work, go to http://localhost:8088/dashboard/list/. Dashboards available without authorization. To access SQL Lab use admin/admin as login and password.
With SQL Lab access to powerful SQL editor
It is possible to upload CSV files to IRIS. Go to Settings, Database Connections. Edit action on database.
In the modal dialog, go to Advanced, Security and check Allow file uploads to database and Finish
And now import CSV is available
Metadata
Release files for superset-iris 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| superset_iris-0.4.0.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superset_iris-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / superset_iris-0.4.0.tar.gz
| Download URL | superset_iris-0.4.0.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / superset_iris-0.4.0-py3-none-any.whl
| Download URL | superset_iris-0.4.0-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|