ericgj / sas2sqlite

Import sas7bdat files to sqlite dbase

sas2sqlite3

Import sas7bdat files to sqlite3 dbase. Uses the sas7bdat SAS dataset file parser.

Command-line and python library interface with minimal requirements.

CLI usage

Create and import data into some_dataset table in some_sqlite.db

sas2sqlite some_dataset.sas7bdat some_sqlite.db

Import data into existing some_table table in some_sqlite.db

sas2sqlite some_dataset.sas7bdat some_sqlite.db --table some_table --no-create-table

Import data storing dates and datetimes as Julian days, and times as HH:MM:

sas2sqlite some_dataset.sas7bdat some_sqlite.db \
    --time "%H:%M" --date julian --datetime julian

Python library usage

from sas2sqlite3 import import_dataset
from sas7bdat import SAS7BDAT
import sqlite3

# custom sqlite3 adapter for datetime data
sqlite3.register_adapter(datetime, some_datetime_adapter)

conn = sqlite3.connect('some_sqlite.db')

# custom sqlite3 logging
conn.set_trace_callback(some_logger.debug)

# custom options for SAS dataset parser
dataset = SAS7BDAT(
    'some_dataset.sas7bdat', 
    extra_date_format_strings=['YYMMDD.'],
    encoding='utf-16',
)

import_dataset(conn, dataset) 

Install

Requires python 3.6+ and pip.

pip install sas2sqlite3

Note: the package has a '3' at the end. The executable does not.

Other tools

• sas2db: Import SAS dataset and XPT files to any database supported by SQL Alchemy. Uses pandas SAS parser under the hood.