38 repository-uri
Logic for identifying and grouping SQL statements based on delimiters to handle complex scripts.
Distinct from Semicolon Configuration Rules: The candidates focus on code formatting or prepared statements, not the parsing logic for SQL script grouping.
Explore 38 awesome GitHub repositories matching data & databases · SQL Statement Parsing. Refine with filters or upvote what's useful.
This project is a pure JavaScript database driver for Node.js that implements the native MySQL binary protocol. It serves as a comprehensive connector for managing persistent network links to MySQL servers, enabling applications to execute queries, manage transactions, and handle complex data operations without requiring external middleware. The driver distinguishes itself through its integrated support for connection pooling and distributed database routing. It maintains managed sets of reusable network sockets to optimize resource usage under high request volumes, while simultaneously provi
Executes multiple SQL commands within a single request to process complex data operations efficiently.
This project is an educational implementation of a relational database engine written in C. It functions as a SQLite clone, demonstrating the internal mechanics of a database system through a C-based systems project that focuses on manual memory management and file I/O. The engine is distinguished by its use of a bytecode virtual machine, which executes database operations by compiling SQL statements into low-level instructions. It utilizes a B-tree database engine to organize records in a balanced tree structure, ensuring efficient insertion, search, and range scanning. The system covers co
Translates SQL text into an internal bytecode representation through a parsing phase.
Goose is a database schema versioning system and SQL migration tool designed for Go applications. It functions as a framework for tracking and applying incremental database changes through versioned SQL scripts, ensuring consistency across different environments. The project distinguishes itself by providing a build-time capability to exclude unused database drivers to optimize binary size and a filesystem abstraction that allows migration scripts to be bundled directly into a compiled executable. It also supports out-of-order execution logic to apply missing scripts that were created after a
Parses SQL blocks as single units to prevent splitting complex statements that contain internal semicolons.
SQLFluff is a multi-dialect SQL linter, formatter, and style guide enforcer. It functions as a parser and analyzer that converts SQL scripts into structured trees to validate syntax, identify logical components, and enforce consistent capitalization, aliasing, and layout conventions across various database dialects. The system is specifically designed to handle templated SQL, providing the ability to analyze, parse, and lint files containing macros or placeholders. It uses dummy-parameter rendering and source mapping to validate the style and correctness of dynamic code before it is rendered
Processes files containing format strings to lint the underlying code before it is rendered.
POCO is a comprehensive C++ application framework that provides a cross-platform set of libraries for building network-centric applications. It offers a unified abstraction layer that wraps platform-specific APIs, enabling the same code to run across desktop, server, mobile, IoT, and embedded systems. The framework is organized into modular libraries that can be compiled and linked selectively, allowing developers to include only the components their application needs. The framework distinguishes itself through its broad coverage of application infrastructure needs, including threading and sy
Sends SQL queries and commands to databases and retrieves result sets through a unified interface.
JUnit 4 is a unit testing framework for Java that provides a structured approach to writing and running automated tests. At its core, it uses annotation-based test discovery to automatically identify test methods, and a pluggable runner architecture that controls how test classes are discovered, instantiated, and executed. The framework builds test execution around a chain of Statement objects, each wrapping the next to layer behaviors such as timeouts and retries, and uses Java reflection to dynamically invoke test methods and access private fields for setup and teardown operations. The fram
Composes test actions into a chain of Statement objects to layer behaviors like timeouts and retries.
AlaSQL is a JavaScript SQL database engine that allows for the filtering, grouping, and joining of in-memory object arrays and JSON data. It functions as an in-memory SQL database and client-side data processor, enabling the execution of SQL statements against JavaScript arrays and external data sources in both browser and server environments. The project serves as a universal data query tool capable of performing relational joins across diverse sources, such as merging Google Spreadsheets, SQLite files, and remote APIs into a single result set. It also acts as an IndexedDB SQL wrapper, allow
Optimizes performance by parsing queries into reusable executable forms to avoid repeated parsing overhead.
Archery is a suite of specialized utilities for database schema migration, SQL audit and review, mapping parsing, and performance analysis. It functions as a centralized platform for reviewing, executing, and auditing SQL queries across multiple database environments through controlled workflows. The platform includes a mapping parser that converts XML files into readable SQL statements to simplify the review of application-generated queries. It also provides tools for parsing slow query logs and analyzing execution patterns to optimize database indexes and speeds. The system covers broad da
Converts application mapping files into executable SQL statements to facilitate manual review.
This project is a suite of specialized tools for the implementation of a language server, template parsing, and static type validation of single-file components. It provides a language server and a type checker to deliver consistent intelligence and validation for Vue components across different editors and command-line environments. The tooling utilizes a template parser to transform single-file component structures into virtual code, enabling static analysis and type checking on HTML-like structures. This process allows for the extraction of component metadata regarding props, events, and s
Parses and transforms Vue template syntax to generate virtual code for analysis and type checking.
jOOQ is a type-safe SQL query builder for Java that generates code from live database schemas, enabling compile-time validation of SQL syntax and data types. Its core identity is built around a fluent DSL that mirrors SQL structure, a code generator that maps tables, views, and routines to Java objects, and a multi-dialect engine that translates the same DSL into vendor-specific SQL for over 30 databases. The project also includes a SQL parser and transformer for refactoring or dialect conversion, reactive stream integration for non-blocking query execution, and a JDBC proxy diagnostics tool f
Parses SQL strings into a type-safe query object model for programmatic inspection and transformation.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Parses and compiles SQL statements into reusable execution plans to accelerate the performance of recurring data processing tasks.
go-sqlmock is a Go library that simulates SQL driver behavior for unit testing by intercepting database calls through the standard database/sql/driver interface, eliminating the need for a real database connection. It provides a comprehensive mocking framework that allows developers to define expectations for SQL operations, including queries, executions, prepared statements, and transaction lifecycles, with precise control over the results and errors returned. The library distinguishes itself through its flexible matching and verification capabilities. It supports regex-based or exact SQL
Runs SQL statements that do not return rows, such as INSERT or UPDATE operations.
node-sqlite3 is a relational database client and a set of native bindings that allow Node.js applications to interact with SQLite databases. It functions as a C++ native addon, linking JavaScript to the SQLite C library to manage data stored in local files or in-memory stores. The project includes optional support for SQLCipher, enabling page-level encryption to secure local database files. The driver covers a wide range of database management capabilities, including executing SQL queries with parameter binding, managing connections to database files, and preparing statements for repeated ex
Executes SQL statements such as INSERT or UPDATE that modify data without returning result rows.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Automatically redirects queries to pre-aggregated materialized views to improve performance without user intervention.
GoGoCode is an AST-based code transformation toolkit that enables developers to query, match, and rewrite JavaScript source code using jQuery-style selectors and wildcard patterns. At its core, it provides a programmatic code refactoring library that manipulates parsed AST nodes, allowing precise structural modifications without worrying about formatting differences. The toolkit also functions as a JavaScript AST query engine, finding code patterns through snippet-based matching with wildcards that capture unknown or variable-length fragments. What distinguishes GoGoCode is its callback-drive
Parses and transforms Vue template syntax alongside JavaScript for single-file component transformations.
JSqlParser este o bibliotecă Java pentru parsarea interogărilor SQL, convertind șirurile SQL brute într-o ierarhie structurată de obiecte Java puternic tipizate. Oferă mijloacele de a analiza și manipula programatic interogările bazei de date prin reprezentarea lor ca un arbore de obiecte. Biblioteca suportă atât parsarea textului SQL existent, cât și generarea programatică a noilor instrucțiuni printr-un API fluent. Include mecanisme pentru transformarea arborilor de interogare și serializarea modelelor de obiecte structurate înapoi în text SQL formatat. Capabilitățile suplimentare includ analiza schemei bazei de date, cum ar fi extragerea numelor tabelelor pentru a mapa dependențele de date și validarea sintaxei SQL. Parserul este configurabil pentru a gestiona diferite dialecte de sintaxă și include recuperare tolerantă la erori pentru a continua procesarea scripturilor după întâlnirea unor token-uri invalide.
Converts database dialect strings into a structured object hierarchy for programmatic analysis and modification.
Vetur is a Visual Studio Code extension that provides comprehensive language support for Vue single-file components. It parses .vue files into separate template, script, and style regions, then delegates each region to its own language service for independent processing. This architecture enables IntelliSense, type-checking, formatting, and linting across all embedded languages within a Vue file. The extension distinguishes itself through deep integration with Vue's component model. It infers TypeScript types for template expressions by analyzing component props, data, and computed properti
Provides auto-completion, hover information, and type-checking for expressions and components inside Vue templates.
Sqlpad este un client SQL bazat pe web și un workbench multi-tenant utilizat pentru scrierea, executarea și salvarea interogărilor pe mai multe baze de date relaționale și analitice. Acesta funcționează ca un manager de baze de date ODBC care permite utilizatorilor să gestioneze conexiunile și să exploreze schemele printr-o interfață de browser. Platforma se distinge ca un mediu colaborativ unde utilizatorii pot partaja documente SQL și coordona analiza datelor. Integrează federarea identității prin OpenID Connect, SAML, LDAP și OAuth, și oferă un sistem de vizualizare care redă rezultatele interogărilor în grafice și tabele. Sistemul acoperă domenii largi de capabilități, inclusiv controlul accesului bazat pe roluri pentru a restricționa conexiunile la baza de date, gestionarea stării sesiunii pentru tranzacții cu mai multe instrucțiuni și substituirea credențialelor la runtime pentru o securitate sporită. De asemenea, oferă persistența interogărilor și urmărirea istoricului pentru a gestiona ciclul de viață al instrucțiunilor SQL salvate.
Executes a sequence of SQL statements on a database connection while tracking individual status.
Ignite este o platformă distribuită de calcul și grid de date în memorie. Acesta funcționează ca o bază de date SQL distribuită și un motor de stocare conceput pentru a stoca și procesa seturi mari de date în RAM pentru a minimiza latența și a crește viteza de calcul. Sistemul se distinge printr-un motor de stocare pe mai multe niveluri care gestionează plasarea datelor în memorie și pe disc pentru a echilibra accesul de mare viteză cu capacitatea mare. Dispune de un grid de calcul distribuit care execută logica personalizată direct pe nodurile unde rezidă datele pentru a reduce traficul de rețea. Platforma oferă un set larg de capabilități, inclusiv gestionarea tranzacțiilor ACID, interogarea SQL standard și operațiuni cheie-valoare. Suportă ingestia de date de mare volum prin fluxuri reactive și oferă integrare prin mai multe limbaje de programare, drivere de baze de date standard și un API REST. Sistemul poate fi implementat ca un cluster distribuit folosind containere sau orchestrat prin Kubernetes. Proiectul este scris în Java și poate fi instalat prin arhive binare.
Parses standard SQL queries into optimized execution plans tailored for distributed in-memory structures.
Sequel is a relational database toolkit for Ruby that provides object-relational mapping, a fluent SQL query builder, and schema migration capabilities. It maps database tables to Ruby classes with support for associations, validations, lifecycle hooks, and eager loading, offering a comprehensive ORM layer for building data-centric applications. Sequel distinguishes itself through a plugin-based extension architecture that allows composable customization of models, databases, and datasets without relying on deep inheritance hierarchies. It includes a thread-safe connection pool with support f
Executes INSERT, UPDATE, or DELETE statements built from the dataset to modify rows.