imgmac
JSqlParser
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imgmac | JSqlParser | |
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1 | 4 | |
- | 4,938 | |
- | 1.8% | |
- | 9.2 | |
- | 5 days ago | |
Java | ||
- | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imgmac
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Racket v8.0
If anyone cares the code is here. Still needs a lot of work. https://gitlab.com/diegocrespo/imgmac/-/tree/master. For context this is a paint program that currently creates a 1024x748 window with a canvas, 31 buttons, and a file menu. It uses 280M of memory on my desktop running Manjaro, which isn't the greatest. In my testing, typed racket also increases the memory uses.
Thankfully after creating a basic frame and canvas, the jumps haven't been as big, but I could easily see the program going to 400M by the time it's done. I will download Racket 8.0 today and see how it performs
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.
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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].
What are some alternatives?
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zetasql - ZetaSQL - Analyzer Framework for SQL
racket - The Racket repository
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vitess-sqlparser - simply SQL Parser for Go ( powered by vitess and TiDB )