5 repository-uri
Awesome GitHub RepositoriesDialect Transformers
Tools that rewrite SQL constructs between different database dialects, converting vendor-specific syntax into standard equivalents.
Distinct from SQL Dialect Adapters: Distinct from SQL Dialect Adapters: focuses on rewriting existing SQL between dialects rather than providing a unified adapter interface for query execution.
Explore 5 awesome GitHub repositories matching data & databases · Dialect Transformers. Refine with filters or upvote what's useful.
Awesome Dialect Transformers GitHub Repositories
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- jooq/jooq
jOOQ/jOOQ
6,666Vezi pe GitHubjOOQ 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
Rewrites SQL constructs between dialects, converting vendor-specific syntax into standard equivalents.
Javacode-generatordatabasedb2 - ibis-project/ibis
ibis-project/ibis
6,574Vezi pe GitHubIbis is a portable Python dataframe library and multi-backend query engine that provides a unified interface for executing data transformations across diverse compute engines. It functions as a Python SQL expression compiler and dialect transpiler, allowing users to define data logic once and execute it across cloud warehouses, embedded databases, and distributed clusters without rewriting code. The project distinguishes itself through a database backend abstraction that decouples transformation logic from the underlying execution engine. It enables polyglot data workflows by mixing raw SQL s
Rewrites SQL constructs between different database dialects to ensure cross-backend compatibility.
Pythonbigqueryclickhousedatabase - querydsl/querydsl
querydsl/querydsl
4,964Vezi pe GitHubQuerydsl este un framework pentru construcția de interogări type-safe. Utilizează un API fluent și generarea de cod bazată pe adnotări pentru a crea clase oglindă din modelele de domeniu, permițând validarea la compilare a interogărilor bazei de date și eliminând nevoia de concatenare manuală a șirurilor. Proiectul oferă o sintaxă de interogare unificată care se traduce în dialecte specifice pentru mai multe backend-uri, inclusiv SQL, MongoDB, Lucene și JDO. Suportă capabilități avansate de interogare, cum ar fi expresii tabelare comune, funcții de fereastră, operații geospațiale și subinterogări complexe imbricate. Dincolo de regăsirea datelor, framework-ul acoperă execuția DML type-safe pentru actualizări și ștergeri în masă, precum și maparea rezultatelor în Java Beans, constructori sau tuple. Include suport pentru interogarea colecțiilor în memorie și se integrează cu Spring Framework pentru gestionarea tranzacțiilor și a conexiunilor.
Converts a unified internal query representation into the specific syntax required by different database engines.
Java - mybatis-flex/mybatis-flex
mybatis-flex/mybatis-flex
2,554Vezi pe GitHubMyBatis-Flex is an object-relational mapping framework for Java that extends MyBatis with a fluent API and automated CRUD operations. It provides a data access suite featuring an automatic CRUD data mapper, a type-safe SQL query builder, and a row-based query engine for manipulating records without predefined entity classes. The framework includes a multi-dialect SQL translator that converts generated syntax across different database engines, such as MySQL, PostgreSQL, and Oracle. It further distinguishes itself by offering annotation-free entity mapping using runtime reflection and naming co
Rewrites SQL queries to apply database-specific pagination syntax based on the active dialect.
Javajavamybatismysql - lerocha/chinook-database
lerocha/chinook-database
2,544Vezi pe GitHubThis project is a relational SQL sample database and synthetic testing dataset. It provides a standardized data model of a fictional digital media store, encompassing business entities such as artists, albums, tracks, customers, and invoices. The dataset is designed as a cross-dialect SQL collection, using compatible scripts to ensure consistent data seeding and environment parity across different database server engines. It combines imported metadata with fictitious personal details to create realistic records for software prototyping and demonstrations. The project covers capabilities for
Populates identical datasets across different SQL server types to maintain environment parity.
TSQL
