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Awesome GitHub RepositoriesQuery Result Formatting

Capabilities for sorting, offsetting, and refining the delivery of query result sets.

Distinct from Query Filters: Covers sorting and offsetting, which is broader than just filtering.

Explore 7 awesome GitHub repositories matching data & databases · Query Result Formatting. Refine with filters or upvote what's useful.

Awesome Query Result Formatting GitHub Repositories

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  • sqlite/sqlitesqlite 的头像

    sqlite/sqlite

    9,909在 GitHub 上查看↗

    SQLite 是一个无服务器的关系型数据库引擎和 C 语言库,将数据存储在单个本地磁盘文件中。它作为嵌入式 SQL 数据库运行,直接集成到应用程序中,无需单独的服务器进程。 该引擎包含用于全文搜索索引和使用 R-Tree 结构进行空间数据查询的专门功能,适用于地理或几何坐标范围。 该系统提供了对 SQL 数据操作、数据库恢复与修复以及用于在数据库间同步修改的变更追踪的广泛支持。它还具有用于数据库管理和配置的终端界面。

    Provides utilities to format and refine the structure of query result sets for improved readability.

    C
    在 GitHub 上查看↗9,909
  • oceanbase/minioboceanbase 的头像

    oceanbase/miniob

    4,318在 GitHub 上查看↗

    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

    Output query results with column headers and row values separated by spaced middle dots following strict ordering rules.

    C++classroomcplusplusdatabase
    在 GitHub 上查看↗4,318
  • apache/ageapache 的头像

    apache/age

    4,236在 GitHub 上查看↗

    Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution

    Orders results by several properties sequentially, using the next property to break ties when values are equal.

    Cage-databaseagensgraphanalytics
    在 GitHub 上查看↗4,236
  • kuzudb/kuzukuzudb 的头像

    kuzudb/kuzu

    3,965在 GitHub 上查看↗

    Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

    Configures the output format of query results into JSON, CSV, or HTML for easier integration.

    C++cypherdatabaseembeddable
    在 GitHub 上查看↗3,965
  • geektutu/high-performance-gogeektutu 的头像

    geektutu/high-performance-go

    3,888在 GitHub 上查看↗

    该项目是 Go 语言的综合性能编程指南和参考,专注于运行时效率和内存优化。它提供了一系列模式和技术,旨在通过减少垃圾回收开销和优化内存使用来提高执行速度。 该资源通过详细的内存优化参考实现脱颖而出,例如逃逸分析、对象池和结构体内存对齐。它提供了减少二进制大小和通过结构体内存布局优化及使用零分配占位符来提高 CPU 缓存效率的具体策略。 该项目涵盖了广泛的后端工程功能,包括使用工作池和同步原语的并发管理、高性能 RPC 和 HTTP 路由以及分布式缓存策略。它还包括通过 CPU 和内存分析进行可观测性的指南,以及用于功能单元测试和模拟对象生成的质量保证模式。 内容结构化为一系列教程、架构示例和基准测试指南,以帮助开发者分析和修复性能瓶颈。

    Implements capabilities for refining and formatting the delivery of query result sets.

    Goeffective-golanggogolang
    在 GitHub 上查看↗3,888
  • cozodb/cozocozodb 的头像

    cozodb/cozo

    3,880在 GitHub 上查看↗

    Cozo is a logic-based database engine that functions as a relational data store, an embedded graph database, and a temporal vector database. It utilizes a Datalog-inspired query language to execute relational, recursive, and graph queries. The system distinguishes itself through specialized indexing for high-dimensional vector similarity searches and near-duplicate detection using locality sensitive hashing. It also provides built-in temporal versioning, allowing for historical state retrieval and time-travel queries to access data as it existed at specific points in time. Its broader capabi

    Enables filtering, sorting, and offsetting result sets using specific query options to refine data delivery.

    Rustclient-servercozocozoscript
    在 GitHub 上查看↗3,880
  • simolus3/driftsimolus3 的头像

    simolus3/drift

    3,231在 GitHub 上查看↗

    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 capabilities for sorting query results based on one or more columns with control over null placement.

    Dartdartdart-build-systemflutter
    在 GitHub 上查看↗3,231
  1. Home
  2. Data & Databases
  3. Query Sorting
  4. Query Result Formatting

探索子标签

  • Multi-Property SortingOrders results by several properties sequentially, using the next property to break ties when values are equal. **Distinct from Query Result Formatting:** Distinct from Query Result Formatting: focuses on sorting by multiple properties with tie-breaking, not general result formatting like offsetting.
  • Tabular Output FormattersFormats query results into structured tables with column headers and delimited rows for terminal display. **Distinct from Query Result Formatting:** Distinct from Query Result Formatting: focuses specifically on the visual table layout with headers and delimiters, not sorting or offsetting.