Helps generate highly readable SQL INSERT statements
Calling with one table name creates an
INSERT INTO... VALUES statement:
$ sql_insert_writer pet INSERT INTO pet ( id, name, species_name, planet, kg ) VALUES ( DEFAULT, -- ==> id DEFAULT, -- ==> name DEFAULT, -- ==> species_name DEFAULT, -- ==> planet DEFAULT -- ==> kg )
If more table names are added, will generate an
INSERT INTO... SELECT FROM
statement, matching as many column names as it can between the destination
and source table(s):
$ sql_insert_writer pet animal INSERT INTO pet ( id, name, species_name, planet, kg ) SELECT id, -- ==> id name, -- ==> name species_name, -- ==> species_name planet, -- ==> planet DEFAULT -- ==> kg FROM animal
More usage examples
The syntax of
INSERT statements makes it difficult to tell which destination columns a value is intended for,
especially in inserts with many columns. (Our five-column example is not bad, but imagine fifty columns!)
Comments can clarify the link between data source and destination, but adding those comments manually is tedious and error-prone.
Explicitly listing the destination columns of an
INSERT is another best practice often skipped due to tedium.
The output of
sql_insert_writer will rarely be fully ready to execute, but it should save the bulk of the typing.
- Supports PostgreSQL, SQLite, MySQL
- Accepts SQLAlchemy database URLs with
--dboption. Defaults to environment variable
- Any number of source tables; columns chosen in order specified
- Any number of tuples in
- Explicitly cast to destination column type with
Development installation instructions, so that you can modify the code and contribute your improvements back to the project, are included in the CONTRIBUTING documentation.
- Support for more databases
- Approximate column name matches
- Omit inserts into auto-incrementing primary key columns
- Pre-fill JOIN clauses with foreign keys where possible
We do not deal well with case-sensitive table or column names; for lo, they are an abomination unto Codd.
This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication.
All contributions to this project will be released under the CC0 dedication. By submitting a pull request, you are agreeing to comply with this waiver of copyright interest.