Using ANTLR on real example - convert "string combined" queries into parameterized queries
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The document discusses the ANTLR tool, a parser generator that transforms grammars into source code for language recognition, highlighting its utility in parsing complex data and generating structured output such as abstract syntax trees. It contrasts ANTLR's capabilities with regular expressions, emphasizing ANTLR's advantages in error handling and detailed error messaging. Additionally, it lists various programming languages supported by ANTLR and provides examples of query syntax to demonstrate its practical applications.
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Antlr Conexaojava
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- ANTLR is a sophisticated parser generator that can be used to implement language interpreters, compilers, and other translators for DSLs. It performs lexical analysis, parsing, and generates an AST from the grammar rules.
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2. introduction to compiler
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Antlr4 get the right tool for the job
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Syntax
SyntaxABDERRAHMAN ID -SAID Syntax defines the grammatical rules of a programming language. There are three levels of syntax: lexical, concrete, and abstract. Lexical syntax defines tokens like literals and identifiers. Concrete syntax defines the actual representation using tokens. Abstract syntax describes a program's information without implementation details. Backus-Naur Form (BNF) uses rewriting rules to specify a grammar. BNF grammars can be ambiguous. Extended BNF simplifies recursive rules. Syntax analysis transforms a program into an abstract syntax tree used for semantic analysis and code generation.
Control structure
Control structurebaran19901990 The document discusses syntax analysis and parsing. It covers context-free grammars, Backus-Naur Form (BNF), Extended BNF, and different parsing techniques like recursive descent parsing and LL parsing. It also discusses Scala's combinator parser, which uses parser combinators to parse input based on a grammar.
Generative programming (mostly parser generation)
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1. Define regular expressions for tokens and context-free productions for nonterminals
2. Generate code for the parser from the grammar
3. Write boilerplate code to execute the generated parser and feed it a token stream.
The overall approach is to specify language structure through a grammar and then generate artifacts like lexers and parsers that can recognize or operate on that language.
04 Syntax Analysis.pdf
04 Syntax Analysis.pdfmovamag594 The document discusses syntax analysis and error handling in parsers. It describes common syntax errors like missing or mismatched parentheses. It also discusses different error recovery strategies like panic mode recovery and error productions. The document provides examples of context-free grammars and derivations. It explains ambiguity in grammars and different ways to resolve it like precedence declarations. Finally, it discusses top-down parsing and how to construct a predictive parsing table for an LL(1) grammar.
DSLs for fun and profit by Jukka Välimaa
DSLs for fun and profit by Jukka VälimaaMontel Intergalactic Here are a few ways a DSL could potentially benefit a current project:
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Ch2
Ch2kinnarshah8888 This document provides an overview of building a simple one-pass compiler to generate bytecode for the Java Virtual Machine (JVM). It discusses defining a programming language syntax, developing a parser, implementing syntax-directed translation to generate intermediate code targeting the JVM, and generating Java bytecode. The structure of the compiler includes a lexical analyzer, syntax-directed translator, and code generator to produce JVM bytecode from a grammar and language definition.
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- 1. Using ANTLR on real example convert “string combined” queries into parameterized queries
- 2. Simon Wiki says: ANTLR (pronounced Antler), or ANother Tool for Language Recognition, is a parser generator that uses LL(*) parsing. ANTLR takes as input a grammar that specifies a language and generates as output source code for a recognizer for that language. A language is specified using a context-free grammar which is expressed using Extended Backus–Naur Form (EBNF). ANTLR allows generating lexers, parsers, tree parsers, and combined lexer-parsers. Parsers can automatically generate abstract syntax trees which can be further processed with tree parsers. ANTLR provides a single consistent notation for specifying lexers, parsers, and tree parsers. This is in contrast with other parser/lexer generators and adds greatly to the tool's ease of use.
- 3. Used at least in following products: Drools, JBoss rule engine (DRL DSL) Hibernate, Java ORM (HQL DSL) NHibernate, .NET ORM (HQL DSL) Groovy, language for JVM Jython, language for JVM
- 4. Where we need ANTLR? Parsing a text stream of formal data Parsing a text stream of incomplete formal data Complex parsing Parsing with good error handling Writing Domain-Specific Language You have enough time and some data to parse...
- 5. Why just not use regular expression language? In most cases you should go with RegEx SO: “RegEx is a text search tool. If all you need to do is pull strings out of strings then it's often the hammer of choice.” SO: “ANTLR is a parser generator. If you need error messages and parse actions or any of the complicated things that come with a interpreter/compiler then it's a good option.” SO: “ANTLR has perfect support for "error-messages": they show line/column numbers and what was wrong. RegEx doesn't have this support.” ANTLR is a something (a-lot-of-things) on top of regular expression language.
- 7. Tools under ANTLR umbrella ANTLR3 Code Generation Targets: • Java, JavaScript (in sync with development) • C, C++, C#, Objective C, Ruby (almost in sync) • Python, ActionScript (current with 3.1 instead of 3.4)
- 8. Tools under ANTLR umbrella ANTLR Grammars: Java, C, C++, ECMAScript, ANTLR, C#, PHP, Verilog, x86 Assembler, ISO SQL 2003, PL/SQL, Clojure, XPath, Pascal, GraphViz Dot, Fortran, Python, CSS, Objective C, Lua, Ruby, Eiffel, ECMA CIL (.NET), Classic ASP, CORBA IDL
- 9. Tools under ANTLR umbrella Editors, IDEs, etc: • ANTLRWorks, GUI IDE. http://antlr.org/works/ • Eclipse, NetBeans, JetBrains IDEA, Visual Studio integration. • VIM syntax highlighter. https://github.com/rollxx/vim- antlr • ANTLR-Mode for Emacs. http://antlr- mode.sourceforge.net/
- 13. ANTLRWorks. Interactive debugger
- 15. JetBrains IDEA. ANTRL integration
- 16. Sample syntax. CSV grammar
- 17. Real example. Test cases • Query without any parameters • Query with concat and variable • Query with dotted and escaped table names and single quote in sql • Query with function call and func args concat • Query with function call with several func args • Query with nested function call with several func args • Query with concat and two variables • Insert query with four params • Query with dotted param and function name and funciton arg • Endline symbol will be dropped from query • Single line comment will be dropped from query • Strip single quote only if it next to parameter • Query with like keyword (FAILED) • Refactor multiline query (FAILED)
- 18. Real example. Syntax tree strsql = "SELECT * FROM TABLE_NAME WHERE FIRST_FIELD = " & DOTTED.PARAM_VAR & " AND SECOND_FIELD = " & DOTTED.FUNC_CALL(DOTTED.FUNC_ARG)
- 22. Grammar:4. End
- 23. Questions are Welcome! 31337