desql v0.3.0
𓃕DeSQL SQL Parser
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𓃕DeSQL SQL Parser
🚧 Work in progress 🚧
Goal
Provide a tool that can deliver an in-depth analysis of a given set of SQL statements—be it Data Definition, Query or Manipulation Language (DDL, DQL, DML)—that can then be utilized to catalog and visualize which parts (fields) of which relations (tables, views) are referenced by which other relations. Such visualizations could take on the shape of an ER diagram, a connection matrix or other novel ways.
2022-02-11T21:20:17+01:00
𓃕DeSQL now parses big parts of SQL sources and identifies its 'parts of speech'. We assemble
a list of nodes of the AST in table raw_nodes. From the position information given for the
terminal nodes we can infer what text has been matched. Furthermore we keep both track of what
parent each node has as well as a 'path' of the (abbreviated) type names of all ancestors:
Given this data, we can color code a given SQL source to indicate what parts have been matched by which productions, allowing to differentiate between real and aliased names for columns and tables:
At present the parser will skip all whitespace and comments, stop parsing when encountering constructions deemed ungrammatical, and parse only a single query. All these shortcomings will be addressed:
To Do
- + add location information
- – fix (many) faulty location data (stop equals or precedes start line, column NR)
- – parse multiple statements
- – at present, comments and stuff the parser doesn't understand are left out of the result which constitues silent failure; ensure 100% source code coverage (whitespace may be left out, but not comments and also not unsyntactic garbage)
- – fix line, column numbers for coverage misses (whitespace and material stretches)