pg_query_go
sqlparse
| pg_query_go | sqlparse | |
|---|---|---|
| 3 | 7 | |
| 607 | 3,588 | |
| 2.0% | - | |
| 5.8 | 8.3 | |
| 6 days ago | 13 days ago | |
| C | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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pg_query_go
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How we explored the best practices of GoReleaser X CGO
When implementing SQL Review for PostgreSQL, we introduced pg_query_go as the PostgreSQL parser. The pg_query_go uses the native PostgreSQL parser via C bind, which naturally requires CGO support.
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sqlc: Generating go code from sql statements
If you are using Postgres then you are lucky! sqlc uses the official postgres parser (https://github.com/pganalyze/pg_query_go) and while I have never tried it, I guess it works really well.
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Open Source SQL Parsers
Golang: pg_query_go
sqlparse
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Show HN: Databasediagram.com – Private, Text to Entity-Relationship Diagram Tool
Suggest checking out the sqlparse library for a way to do the different flavours without needing to address each case directly: https://github.com/andialbrecht/sqlparse
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Data Load Diagram
Gotcha, since we haven't actually written all of this yet I don't have any useful code snippets to share but we've discussed tackling the problem internally using something like sqlparse. You'd need to identify the relevant sql chunks, parse them for table dependency information and then create the relevant entities in whichever data lineage tool you were using.
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This Week In Python
sqlparse – A non-validating SQL parser module for Python
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Open Source SQL Parsers
Regular expressions is a popular approach to extract information from SQL statements. However, regular expressions quickly become too complex to handle common features like WITH, sub-queries, windows clauses, aliases and quotes. sqlparse is a popular python package that uses regular expressions to parse SQL.
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Automated SQL formatting checks
This one is not bad: https://github.com/andialbrecht/sqlparse.
- Let's write a compiler, part 5: A code generator
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BigQuery Lineage
We used this repo for this: https://github.com/andialbrecht/sqlparse. I may have miscommunicated. We didn't write the parser from scratch, we created a way for the parser to detect downstream and upstream dependencies of the resource.
What are some alternatives?
pg_query - Ruby extension to parse, deparse and normalize SQL queries using the PostgreSQL query parser
zetasql - ZetaSQL - Analyzer Framework for SQL
pg_parse - PostgreSQL parser for Rust that uses the actual PostgreSQL server source to parse SQL queries and return the internal PostgreSQL parse tree.
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
libpg_query - C library for accessing the PostgreSQL parser outside of the server environment
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
pglast - PostgreSQL Languages AST and statements prettifier: master branch covers PG10, v2 branch covers PG12, v3 covers PG13, v4 covers PG14, v5 covers PG15, v6 covers PG16
PLY - Python Lex-Yacc
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
pg-query-emscripten - Emscripten Port of pg_query to easily play with it in the browser
Pygments