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11 repositorios

Awesome GitHub RepositoriesRow Insertions

Adding new records to database tables via SQL commands.

Distinct from Row Insertion: The candidates are either focused on UI-based insertion or highly specialized hierarchical/default insertions; a general SQL row insertion tag is needed.

Explore 11 awesome GitHub repositories matching data & databases · Row Insertions. Refine with filters or upvote what's useful.

Awesome Row Insertions GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • felixge/node-mysqlAvatar de felixge

    felixge/node-mysql

    18,621Ver en GitHub↗

    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

    Fetches auto-incremented primary key values generated by recent insert operations, including support for large numeric types.

    JavaScript
    Ver en GitHub↗18,621
  • erikgrinaker/toydbAvatar de erikgrinaker

    erikgrinaker/toydb

    7,251Ver en GitHub↗

    ToyDB is a distributed SQL database that provides a system for storing and querying data across multiple nodes. It focuses on maintaining strong consistency and fault tolerance through the implementation of a distributed consensus algorithm. The project distinguishes itself by supporting historical data versioning, enabling time-travel queries to retrieve the state of the database from a specific point in the past. It utilizes multi-version concurrency control to manage ACID transactions and ensure data integrity during concurrent operations. The system covers relational data modeling with t

    Provides the ability to add new records to tables using standard SQL insert operations.

    Rust
    Ver en GitHub↗7,251
  • greptimeteam/greptimedbAvatar de GreptimeTeam

    GreptimeTeam/greptimedb

    5,968Ver en GitHub↗

    GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

    GreptimeDB executes SQL statements to create tables and insert rows directly into the database.

    Rustanalyticscloud-nativedatabase
    Ver en GitHub↗5,968
  • go-pg/pgAvatar de go-pg

    go-pg/pg

    5,785Ver en GitHub↗

    pg is a PostgreSQL object-relational mapper (ORM) for Go that maps Go structs to database tables and provides a fluent query builder for constructing SQL statements programmatically. At its core, it automatically generates CREATE TABLE statements from Go struct definitions using struct tags and naming conventions, and builds queries through method chaining with placeholder-based parameter binding to prevent SQL injection. The library distinguishes itself through relation-aware join generation that automatically constructs JOIN clauses for has-one, has-many, many-to-many, and polymorphic assoc

    Inserts rows produced by a SELECT query using a WITH clause.

    Go
    Ver en GitHub↗5,785
  • alibaba/alisqlAvatar de alibaba

    alibaba/AliSQL

    5,706Ver en GitHub↗

    AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en

    Adds new records to database tables with specified column values via SQL commands.

    C++alisqldatabaseduckdb
    Ver en GitHub↗5,706
  • h2database/h2databaseAvatar de h2database

    h2database/h2database

    4,607Ver en GitHub↗

    H2 es un sistema de gestión de bases de datos relacionales compatible con JDBC, escrito en Java. Funciona como una base de datos SQL embebible que puede ejecutarse directamente dentro de un proceso de aplicación para eliminar la latencia de red, o como una base de datos en memoria para almacenamiento volátil de alto rendimiento. También incluye una consola basada en web para ejecutar comandos SQL y administrar esquemas. El sistema se caracteriza por sus modos de despliegue flexibles, incluyendo un modo servidor independiente para acceso remoto TCP/IP y un modo mixto para conectividad local y remota simultánea. Cuenta con una capa de emulación de dialectos y modos de compatibilidad que permiten imitar el comportamiento y la sintaxis de otros sistemas de bases de datos. El motor proporciona un amplio conjunto de capacidades que cubren transacciones ACID con control de concurrencia multiversión, soporte para datos geoespaciales y JSON, y funciones avanzadas de ventana analítica. Incluye herramientas para la preservación de datos mediante copias de seguridad comprimidas, restauración de scripts SQL y gestión de memoria fuera del heap (off-heap) para manejar grandes datasets. La base de datos se integra con aplicaciones utilizando controladores estándar de Java Database Connectivity y URLs de conexión.

    Enables the addition of new records to tables, including the ability to pipe results from other queries.

    Javadatabasejavajdbc
    Ver en GitHub↗4,607
  • infiniflow/infinityAvatar de infiniflow

    infiniflow/infinity

    4,570Ver en GitHub↗

    Infinity es una base de datos vectorial distribuida y un almacén vectorial multimodal diseñado para gestionar datasets a gran escala para recuperación y búsqueda por similitud. Sirve como backend para aplicaciones de modelos de lenguaje grandes y pipelines de generación aumentada por recuperación (RAG) almacenando y recuperando vectores densos, vectores dispersos y datos de texto completo. El sistema funciona como un motor de búsqueda híbrido, combinando embeddings vectoriales y búsqueda de texto completo con algoritmos de reranking para identificar los documentos más relevantes. Admite el almacenamiento de datos multimodal, permitiendo el mantenimiento de diversos tipos de datos, incluyendo tensores, cadenas y numéricos, dentro de un único entorno. La base de datos ofrece capacidades para gestionar esquemas y registros, incluyendo importación, exportación y consultas estructuradas. Incluye herramientas para la gestión de índices y optimización de almacenamiento, y ofrece recuperación de estado mediante snapshots del sistema o de tablas. La base de datos puede desplegarse como un binario único o mediante Docker, y es accesible a través de una API HTTP y un SDK de Python.

    Inserts, updates, and deletes rows of data within specified tables to maintain current records.

    C++ai-nativeapproximate-nearest-neighbor-searchbm25
    Ver en GitHub↗4,570
  • datlechin/tableproAvatar de datlechin

    datlechin/TablePro

    4,471Ver en GitHub↗

    TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

    Adds single or multiple rows to a database table using system-level intents, share sheets, or voice commands without opening the application.

    Swift
    Ver en GitHub↗4,471
  • dotnetcore/freesqlAvatar de dotnetcore

    dotnetcore/FreeSql

    4,388Ver en GitHub↗

    FreeSql es un mapeador objeto-relacional (ORM) y capa de acceso a datos para .NET que traduce código orientado a objetos a SQL para múltiples proveedores de bases de datos relacionales. Funciona como un constructor de consultas SQL fluido y sincronizador de esquemas de base de datos, permitiendo a los desarrolladores alinear las estructuras de tablas e índices de la base de datos con las definiciones de clases de entidad. El framework está optimizado específicamente para .NET Native AOT para garantizar huellas de memoria reducidas y tiempos de inicio más rápidos. Incluye un gestor de tráfico de base de datos para distribuir la carga a través de división de lectura-escritura, fragmentación de tablas dinámica y aislamiento de datos basado en inquilinos. Las capacidades amplias incluyen ingesta de datos de alto rendimiento utilizando mecanismos de copia masiva específicos del proveedor, consultas avanzadas con funciones de ventana y CTEs recursivos, y monitoreo basado en AOP para auditar cambios de datos. El sistema también proporciona herramientas de gestión de esquemas para migraciones automatizadas y utilidades de desarrollo para generar clases de entidad a partir de metadatos de base de datos.

    Copies data from one table to another by executing an insert based on select results.

    C#accessclickhousecodefirst
    Ver en GitHub↗4,388
  • oceanbase/miniobAvatar de oceanbase

    oceanbase/miniob

    4,318Ver en GitHub↗

    MiniOB is an open-source educational relational database kernel designed for learning the internals of database systems. It implements a dual-engine storage architecture combining B+ Tree and LSM-Tree, supports SQL parsing and query execution, and provides transactional processing with multi-version concurrency control. The system communicates with clients using the MySQL wire protocol and includes a vector database extension for storing and querying high-dimensional vectors. The project distinguishes itself through its comprehensive coverage of core database concepts in a single, learnable c

    Supports inserting rows through updatable views that map to a single base table.

    C++classroomcplusplusdatabase
    Ver en GitHub↗4,318
  • simolus3/driftAvatar de simolus3

    simolus3/drift

    3,231Ver en GitHub↗

    Drift is a type-safe SQL persistence library and relational mapper that provides a structured way to map database tables to classes and execute SQL queries with build-time validation. It functions as a type-safe query builder and a wrapper for SQLite and PostgreSQL, eliminating manual result set parsing by binding query outputs to native objects. The project distinguishes itself through a build-time code generation system that produces type-safe APIs and validates raw SQL statements against database versions before execution. It features reactive query streaming, which transforms SQL queries

    Provides a mechanism to insert new records or update existing ones when a uniqueness conflict occurs.

    Dartdartdart-build-systemflutter
    Ver en GitHub↗3,231
  1. Home
  2. Data & Databases
  3. Row Insertions

Explorar subetiquetas

  • Companion-Based InsertionsUsing specialized companion objects to insert rows while distinguishing between required and optional fields. **Distinct from Row Insertions:** Focuses on the 'companion' pattern for type-safe field enforcement, whereas the parent is general SQL row insertion.
  • Returning Inserted RowsOperations that return the newly created record, including generated IDs, immediately after an insertion. **Distinct from Row Insertions:** Distinct from general Row Insertions by focusing on the immediate retrieval of the resulting row.
  • Select-Based InsertionsInserts rows produced by a SELECT query using a WITH clause. **Distinct from Row Insertions:** Distinct from Row Insertions: inserts rows from a SELECT query result rather than from literal values.
  • Shortcut-DrivenAdding new records to database tables via system-level intents or automation shortcuts. **Distinct from Row Insertions:** Distinct from Row Insertions: focuses on system-level automation triggers rather than direct SQL command execution.
  • UpsertionsPerforming atomic insert-or-update operations to handle uniqueness conflicts. **Distinct from Row Insertions:** Distinct from general Row Insertions: specifically handles the update-on-conflict logic.
  • ViewAdding new rows to a view when the operation maps unambiguously to a single base table with writable columns. **Distinct from Row Insertions:** Distinct from Row Insertions: inserts through a view layer rather than directly into a base table.