sqlite-parser
JSqlParser
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sqlite-parser | JSqlParser | |
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1 | 4 | |
292 | 4,965 | |
- | 2.3% | |
0.0 | 9.4 | |
almost 5 years ago | 3 days ago | |
PLpgSQL | Java | |
MIT License | Apache License 2.0 |
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sqlite-parser
JSqlParser
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Semantic Diff for SQL
I wonder if this is a topical thread to check if anyone is aware of a Java based solution to parse a CREATE VIEW statement to get a mapping between the view columns and the corresponding source table columns. I checked out jsqlparser[0] and it does produce an AST which can be parsed using the visitor-pattern[1] but was wondering if there is a more "out-of-the-box" solution. Due to various reasons, querying the database information schema is not an option I can pursue.
[0]: https://github.com/JSQLParser/JSqlParser
[1]: https://en.wikipedia.org/wiki/Visitor_pattern
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Open Source SQL Parsers
JSQLParser can parse multiple SQL dialects like MySQL, Postgres and Oracle. The grammar can be modified to support other SQL dialects.
- Let's write a compiler, part 5: A code generator
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Racket v8.0
Interesting coincidence - I'm working on a parser that parses the AST produced by JSqlParser[0] for a create view statement to generate mapping between the columns of a view and the columns of its underlying table. It is an interesting example of having to use the visitor pattern[1].
[0]: https://github.com/JSQLParser/JSqlParser
What are some alternatives?
zetasql - ZetaSQL - Analyzer Framework for SQL
Apache Calcite - Apache Calcite
queryparser - Parsing and analysis of Vertica, Hive, and Presto SQL.
sqlglot - Python SQL Parser and Transpiler
go-mysql-server - A MySQL-compatible relational database with a storage agnostic query engine. Implemented in pure Go.
swifties - a custom language construction kit
sqlparse - A non-validating SQL parser module for Python
Presto - The official home of the Presto distributed SQL query engine for big data
rhizome - A JIT for Ruby, implemented in pure Ruby
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.