sql-parser
sqlparse
sql-parser | sqlparse | |
---|---|---|
3 | 7 | |
423 | 3,588 | |
0.7% | - | |
9.2 | 8.3 | |
16 days ago | 12 days ago | |
PHP | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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sql-parser
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Can SQL be used without an RDBMS?
You can tokenize the query using [sql-parser](https://github.com/phpmyadmin/sql-parser) and then write functions to load, filter, sort, and group data, if you really wanted to.
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Row hyperlinks to foreign tables not showing
Hi! This is because ansi quotes are not yet supported: https://github.com/phpmyadmin/sql-parser/issues/284 What application does require ansi quotes?
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Open Source SQL Parsers
SQL Parser in phpmyadmin is a validating SQL lexer and parser with a focus on MySQL dialect.
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?
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
zetasql - ZetaSQL - Analyzer Framework for SQL
mo-sql-parsing - Let's make a SQL parser so we can provide a familiar interface to non-sql datastores!
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
Apache Calcite - Apache Calcite
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
libpg_query - C library for accessing the PostgreSQL parser outside of the server environment
sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Pygments