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README.md
sqlparser
Sql parser and static analyzer written in Dart. At the moment, this library targets the sqlite dialect only.
Features
This library aims to support every sqlite feature, which includes parsing and detailed
static analysis.
We can resolve what type a column in a SELECT
statement has, infer types for variables,
find semantic errors and more.
This library supports most sqlite features:
- DQL: Full support, including joins,
group by
, nested and compound selects,WITH
clauses and window functions - DDL: Supports
CREATE TABLE
statements, including advanced features like foreign keys or virtual tables (when a matching module likefts5
is enabled). This library also supportsCREATE TRIGGER
andCREATE INDEX
statements.
Using the parser
To obtain an abstract syntax tree from an sql statement, use SqlEngine.parse
.
import 'package:sqlparser/sqlparser.dart';
final engine = SqlEngine();
final result = engine.parse('''
SELECT f.* FROM frameworks f
INNER JOIN uses_language ul ON ul.framework = f.id
INNER JOIN languages l ON l.id = ul.language
WHERE l.name = 'Dart'
ORDER BY f.name ASC, f.popularity DESC
LIMIT 5 OFFSET 5 * 3
''');
// result.rootNode contains the select statement in tree form
Analysis
Given information about all tables and a sql statement, this library can:
- Determine which result columns a query is going to have, including types and nullability
- Make an educated guess about what type the variables in the query should have (it's not really possible to be 100% accurate about this because sqlite is very flexible at types, but this library gets it mostly right)
- Issue basic warnings about queries that are syntactically valid but won't run (references unknown tables / columns, uses undefined functions, etc.)
To use the analyzer, first register all known tables via SqlEngine.registerTable
. Then,
SqlEngine.analyze(sql)
gives you an AnalysisContext
which contains an annotated AST and information
about errors. The type of result columns and expressions can be inferred by using
AnalysisContext.typeOf()
. Here's an example:
final id = TableColumn('id', const ResolvedType(type: BasicType.int));
final content = TableColumn('content', const ResolvedType(type: BasicType.text));
final demoTable = Table(
name: 'demo',
resolvedColumns: [id, content],
);
final engine = SqlEngine()..registerTable(demoTable);
final context =
engine.analyze('SELECT id, d.content, *, 3 + 4 FROM demo AS d');
final select = context.root as SelectStatement;
final resolvedColumns = select.resolvedColumns;
resolvedColumns.map((c) => c.name); // id, content, id, content, 3 + 4
resolvedColumns.map((c) => context.typeOf(c).type.type); // int, text, int, text, int, int
But why?
Drift, a persistence library for Dart apps, uses this package to generate type-safe methods from sql.
Thanks
- To Bob Nystrom for his amazing "Crafting Interpreters" book, which was incredibly helpful when writing the parser.