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7 Repos

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

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • sqlite/sqliteAvatar von sqlite

    sqlite/sqlite

    9,909Auf GitHub ansehen↗

    SQLite is a serverless relational database engine and C-based library that stores data in a single local disk file. It functions as an embedded SQL database, integrating directly into applications without the need for a separate server process. The engine includes specialized capabilities for full-text search indexing and spatial data querying using R-Tree structures for geographic or geometric coordinate ranges. The system provides broad support for SQL data manipulation, database recovery and repair, and change tracking for synchronizing modifications between databases. It also features a

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

    C
    Auf GitHub ansehen↗9,909
  • oceanbase/miniobAvatar von oceanbase

    oceanbase/miniob

    4,318Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗4,318
  • apache/ageAvatar von apache

    apache/age

    4,236Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗4,236
  • kuzudb/kuzuAvatar von kuzudb

    kuzudb/kuzu

    3,965Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗3,965
  • geektutu/high-performance-goAvatar von geektutu

    geektutu/high-performance-go

    3,888Auf GitHub ansehen↗

    Dieses Projekt ist ein umfassender Leitfaden und eine Referenz für Performance-Programmierung in Go, mit Fokus auf Laufzeiteffizienz und Speicheroptimierung. Es bietet eine Sammlung von Patterns und Techniken, die darauf ausgelegt sind, die Ausführungsgeschwindigkeit durch Reduzierung des Garbage-Collection-Overheads und Optimierung der Speichernutzung zu steigern. Die Ressource zeichnet sich durch detaillierte Referenzimplementierungen zur Speicheroptimierung aus, wie etwa Escape-Analyse, Object Pooling und Structure Memory Alignment. Sie bietet spezifische Strategien zur Reduzierung der Binärgröße und zur Verbesserung der CPU-Cache-Effizienz durch Optimierung des Speicherlayouts von Strukturen und die Verwendung von Zero-Allocation-Platzhaltern. Das Projekt deckt ein breites Spektrum an Backend-Engineering-Fähigkeiten ab, einschließlich Concurrency-Management mit Worker Pools und Synchronisations-Primitiven, High-Performance-RPC und HTTP-Routing sowie Strategien für verteiltes Caching. Es enthält zudem Anleitungen zur Observability durch CPU- und Memory-Profiling sowie Quality-Assurance-Patterns für funktionale Unit-Tests und die Generierung von Mock-Objekten. Der Inhalt ist als Serie von Tutorials, Architekturbeispielen und Benchmarking-Leitfäden strukturiert, um Entwicklern bei der Analyse und Behebung von Performance-Engpässen zu helfen.

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

    Goeffective-golanggogolang
    Auf GitHub ansehen↗3,888
  • cozodb/cozoAvatar von cozodb

    cozodb/cozo

    3,880Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗3,880
  • simolus3/driftAvatar von simolus3

    simolus3/drift

    3,231Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗3,231
  1. Home
  2. Data & Databases
  3. Query Sorting
  4. Query Result Formatting

Unter-Tags erkunden

  • 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.