Replace node-sql-parser with sqlparser-ts

[guan404ming]

Replaced node-sql-parser + oracle-sql-parser with sqlparser-ts, a WASM-powered SQL parser wrapping Rust's sqlparser from Apache DataFusion. It offers superior performance with zero JS/TS dependencies.

The pkg was developed by me and officially adopted by Apache Airflow, this package has proven its stability in production environments.

More detailed bench -> https://github.com/guan404ming/sqlparser-ts/tree/main/benchmark

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[guan404ming]

Benchmark: node-sql-parser vs sqlparser-ts

Summary

This optimization slashed the package size by 96% and boosted parse speed by up to 2.7x, while delivering broader SQL dialect coverage and smaller bundle size.

Metric	Before	After	Change
Package size	88 MB	3.5 MB	-96%
Total node_modules	547 MB	465 MB	-15%
JS bundle (main chunk)	17,220 KB	14,290 KB	-17%
JS bundle (gzip)	3,197 KB	2,634 KB	-18%
WASM asset	0 KB	3,516 KB (985 KB gzip)	new
Build time (avg of 3)	~26.3s	~17.3s	-34%
Supported dialects	4 + Oracle (separate pkg)	14 (unified)	+10 dialects
Oracle support	Separate oracle-sql-parser	Built-in	unified
Test coverage	0 tests	75 tests	new

Parse Speed by Dialect

1,000 iterations per dialect. Simple SQL uses a single CREATE TABLE with constraints. SQLite (complex) uses an 8-table e-commerce schema with 9 indices, foreign keys, CHECK constraints, and DEFAULT values (17 statements).

Dialect	node-sql-parser	sqlparser-ts	Change
MySQL	63.5 us	72.8 us	+15%
PostgreSQL	103.8 us	38.5 us	2.7x faster
SQLite	1,117 us	603 us	1.9x faster
MSSQL	69.3 us	25.6 us	2.7x faster
Oracle	N/A (separate parser)	24.2 us	new

MySQL is slightly slower due to WASM overhead on simple queries, but PostgreSQL and MSSQL see significant speedups. The advantage grows with SQL complexity, as shown by the SQLite complex benchmark. Oracle support is now built-in instead of requiring a separate package.

[guan404ming]

Hi @1ilit, could you help take a look at this, thanks!