I worked many times on sql server data warehouses or or sql server application databases with almost
no documentation and lots of stored procedures transforming data. At some point I wanted a tool that would
analyse all the stored procedures and generate a lineage that I would be able to send to a Data Catalog or
visualise immediately to get an idea of the structure and debug much more easily. So I decided to develop it.
This is a library available in Golang and Python that would enable you to do 2 things:
CTEs (deeply nested as well), Temp Tables, Table Variables are all handled gracefully. You'll always see the original source tables.
The resulting lineage structure is the following: sink_table -> stored_procedure (1 or more) -> list_of_sources
Map/Dictionary Example:
{
'db_name.schema.table_sink': {
'schema.stored_procedure_1': [
'schema.table_source_1',
'schema.table_source_2',
'schema.table_source_3',
],
'schema.stored_procedure_2': [
'schema.table_source_a',
'schema.table_source_b',
'schema.table_source_c',
],
},
'db_name.schema.table_sink_2': {
'schema.stored_procedure_3': [
'schema.table_source',
],
},
}
Html Example:
Therefore, everything is centered around the sink_table. Because most likely you want to see for each table where does the data come from. If you need it different (for a Data Catalog) you can transform the objects and adapt them to your requirement. In the html you will see the sink table as reference in a different color (green) and you will see it again in the lineage.
I decided to generate html files instead of starting a local server (like DBT does) because I wanted to keep it simple and make it easy to host somewhere as a static website and therefore sharing it with other Data Engineers, Data Analysts, etc.
This project is named sql-server-lineage because I want to keep it specialised only on Sql Server. To generate the lineage you need to develop a custom implementation of a Sql parser. I did it for Sql Server as I've been using it recently but I do not intend to develop parsers for other sql dialects.
Since this library analyses stored procedures, if you transform data externally and then write it to the database there is nothing you can do for the lineage. Also if the stored procedures rely heavily on dynamic sql especially with table names passed as parameters then the library would not be able to determine the table names for the lineage.
All the core logic is developed in Go, then using CGO, C bindings and some adapter functions I made it available also as a Python library. The main reason to do that was because Data Engineers work mainly in Python.
Python https://github.com/ivan-ostymchuk/sql-server-lineage/blob/main/sql_server_lineage_python/src/README.md
Golang https://github.com/ivan-ostymchuk/sql-server-lineage/blob/main/sql_server_lineage/README.md
This project operates under the MIT License.