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dbt (data build tool) adapter for SAS

Project description

SAS DBT adapter

Build Status PyPI version PyPI License Code style: black

The dbt-sas package allows dbt to connect to SAS.

Installation

pip install dbt-sas

Configurations

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

Features

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

Limitations

  • Schemas (lib names) are limited to 8 characters.
  • Table names, column names, and aliases are limited to 32 characters.

Usage

  • Create dbt project, choose sas database and set up connection
$ dbt init <project_name>

Query Logging

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:

  • sas
  • sql
  • original_sql

Adapter Testing

  • Install dev requirements
$ pip install -r dev_requirements.txt
  • Run pytest
$ python -m pytest tests/

Licence

Apache License, Version 2.0

Links

Project details


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