SQLAxe - SQL file manipulation tool
Project description
README.md
SQLAxe
Eventually, SQLAxe will be a jq-like tool for manipulating SQL files.
However, for now, SQLAxe is a syntax-aware command-line tool implementing the following commands:
-
split, for splitting large SQL files into smaller, more manageable files based on the SQL statements they contain. It supports various SQL dialects and provides options for pretty printing and specifying the output directory. -
pp, which re-formats SQL files. It can also transpile from one format to another if you specify different--dialectand--output-dialectformats. -
grep, which filters SQL files similar to unixgrep. However, instead of being line-oriented, it parses the SQL file using sqlglot and searches entire statements. If text anywhere in a statement matches, the entire statement is printed out - instead of just the matching line. -
table-name-replace, which replaces text in table names. It accepts a regular expression for the search text, so you can do something likesqlaxe table-name-replace ^tbl_ ''.
SQLAxe uses sqlglot to parse and output SQL, so it supports a wide variety of dialects of SQL.
db
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Features
- Split large SQL files into smaller files based on target table.
- Support for multiple SQL dialects (e.g., MySQL, PostgreSQL)
- Option to specify the output SQL dialect
- Customizable output directory
- Pretty printing of SQL statements
Installation
pip installation (recommended):
pip install git+https://github.com/djberube/sqlaxe
Manual installation:
-
Clone the repository:
git clone https://github.com/djberube/sqlaxe.git -
Install the required dependencies:
pip install -r requirements.txt
Usage : Split
To split an SQL file using SQLAxe, run the following command:
sqlaxe split sql_file.sql
Arguments:
sql_file: Path to the SQL file to be split.--dialect DIALECT: Input SQL dialect (default: mysql).--output-dialect OUTPUT_DIALECT: Output SQL dialect (defaults to the input dialect).--output-directory OUTPUT_DIRECTORY: Output directory (defaults to sqlaxe_INPUT_FILENAME, without the extension).--pretty: Enable pretty printing of SQL statements (default: off).
Example:
python sqlaxe.py path/to/your/file.sql --dialect mysql --output-dialect postgresql --output-directory output_files --pretty
Output
SQLAxe will create an output directory (if not specified, it will default to sqlaxe_INPUT_FILENAME) and generate separate SQL files for each SQL statement found in the input file. The output files will be named in the format NNNN_kind.sql, where NNNN is a four-digit section counter and kind is the table name or "general" if no table is found.
Usage: Pretty Print
To pretty print a SQL file, run a command like this:
sqlaxe pp sql_file.sql
Arguments:
sql_file: Path to the SQL file to be split.--dialect DIALECT: Input SQL dialect (default: mysql).--output-dialect OUTPUT_DIALECT: Output SQL dialect (defaults to the input dialect).
Usage: grep
To grep a SQL file, run a command like this:
sqlaxe grep sql_file.sql PATTERN
SQLAxe's grep command is statement oriented, so an entire statement will be printed if it contains PATTERN anywhere within it. This is contrast to the unix grep command, which is line-oriented by default. (Unix grep can be configured with switches to treat, say, NULL as a line terminator - but because SQLAxe parses SQL using sqlglot, it won't be fooled by line terminators or even semicolons inside strings.)
Usage: table-name-replace
To grep a SQL file, run a command like this:
Dependencies
- Python 3.x
- sqlglot
- tqdm
Database Support
-
Tested with MySQL and PostgreSQL
-
Supports all the dialects from sqlglot; as of this writing, this includes:
- athena
- bigquery
- clickhouse
- databricks
- doris
- drill
- duckdb
- hive
- materialize
- mysql
- oracle
- postgres
- presto
- prql
- redshift
- risingwave
- snowflake
- spark
- spark2
- sqlite
- starrocks
- tableau
- teradata
- trino
- tsql
License
This project is licensed under the MIT License.
Commercial Support
Commercial support for sqlaxe and related tools is available from Durable Programming, LLC. You can contact us at durableprogramming.com.
Contributing
Contributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.
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