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The dbt-sas package allows dbt to connect to SAS.
pip install dbt-sas
Basic profile.yml
for connecting to SAS:
sas-test:
outputs:
dev:
type: sas
host: SAS host
port: 8591
database: sas (keep 'sas', don't change)
schema: default libray name
user: SAS username
password: SAS password
autoexec: optional local path of autoexec.sas file
lib_base_path: optional path (on the SAS server) for new libraries
threads: 1
fail_on_warnings: False
lib_name_strict_mode: False
target: dev
Key | Required | Description |
---|---|---|
type | Yes | The specific adapter to use (sas ) |
host | Yes | SAS server hostname |
port | Yes | SAS server port |
database | Yes | sas , don't change |
schema | Yes | Default SAS libname |
username | Yes | The username to use to connect to the server |
password | Yes | The password to use for authenticating to the server |
handler | Yes | SAS handler ws (default) or saspy |
autoexec | No | Local path of autoexec.sas file |
lib_base_path | No | Base path on the SAS server for new libraries |
fail_on_warnings | No | Raise and error if it encounters a warning |
lib_name_strict_mode | No | Enable strict libname/identifier check |
Key | Supported | Description |
---|---|---|
Tests | Yes | Run dbt tests on SAS |
Load seed files | Yes | Load seeds from CSV files to SAS |
View Materialization | Yes | Materialize dbt models as views in SAS |
Table Materialization | Yes | Materialize dbt models as tables in SAS |
Ephemeral Materialization | Partial | Materialize dbt ephemeral tables as temporary views in SAS |
Incremental Materialization | No | |
Snapshots | No | |
Grants | No | SQL grants are not supported by SAS |
$ dbt init <project_name>
Enable additional logging by setting the DBT_SAS_LOG
environment variable to the log filename, e.g.:
export DBT_SAS_LOG='file.log'
Select the log families, e.g.:
export DBT_SAS_FAMILY='sas,sql'
Log families are:
$ pip install -r dev_requirements.txt
$ python -m pytest tests/
Apache License, Version 2.0
FAQs
dbt (data build tool) adapter for SAS
We found that dbt-sas demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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