sqlecto 0.0.2

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SQLecto

SQLecto is a command-line tool for converting SQL queries across different SQL dialects, providing flexibility for users working with SQL transformations. This tool leverages the powerful SQLGlot library for parsing and transpiling SQL queries.

Features

• Dialect Conversion: Transpile SQL queries from one SQL dialect to another (e.g., Spark to Snowflake)
• File Support: Process individual SQL/Python files or entire directories containing SQL code
• Configurable Mappings: Define custom table mappings and configurations via JSON or YAML files

Requirements

• Python 3.8+

Quck Start

Installation

You can install SQLecto via pipx (recommended) or pip.

Using pipx

pipx install sqlecto

Using pip

pip install sqlecto

Basic Usage

Convert a single SQL file:

sqlecto --source-dialect spark --target-dialect snowflake --source-files ./my_query.sql

Convert all SQL files in a directory

sqlecto --source-dialect spark --target-dialect snowflake --source-dir ./sql_scripts

Command Options

Option	Required	Description	Default
--source-files	No	SQL/Python files to process	None
--source-dir	No	Directory containing SQL/Python files	Current directory
--source-dialect	Yes	Source SQL dialect	None
--target-dialect	Yes	Target SQL dialect	None
--table-mappings	No	Table name mappings	None
--table-mappings-file	No	File containing table mappings	None
--config-file	No	Configuration file path	None
--output-dir	No	Output directory for converted files	./transpiled_queries

Example Command

sqlecto --source-dialect spark --target-dialect snowflake \
    --source-dir ./sql_scripts --output-dir ./transpiled_queries

Configuration

Configuration File Example

Configuration can be managed via JSON or YAML files, allowing reusable settings:

{
  "source_files": ["./path/to/file.sql", "./path/to/file2.py"],
  "source_dialect": "spark",
  "target_dialect": "snowflake",
  "output_dir": "./transpiled_queries",
  "table_mappings": [{ "src_table": "old_table", "dst_table": "new_table" }]
}

Table Mappings

To replace table names within SQL queries, use --table-mappings or specify mappings in a configuration file. Mappings follow the format:

--table-mappings source_table:target_table

Or in JSON/YAML:

"table_mappings": [
    {"src_table": "old_table", "dst_table": "new_table"}
]

# mappings.yaml
table_mappings:
  - src_table: old_table1
    dst_table: new_table1
  - src_table: old_table2
    dst_table: new_table2

Examples

Basic Conversion

sqlecto --source-dialect spark --target-dialect snowflake \
    --source-files ./query.sql --output-dir ./converted

Directory Processing with Table Mappings

sqlecto --source-dialect spark --target-dialect snowflake \
    --source-dir ./sql_scripts \
    --table-mappings old_db.table1:new_db.table1 \
    --output-dir ./converted

Using Configuration File

sqlecto --config-file ./config.yaml

Credits

This tool heavily relies on the SQLGlot package by Toby Mao, providing robust and reliable SQL dialect transformations.

Contributing

Contributions are welcome! Please fork the repository and create a pull request for any improvements.

License

MIT License