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3 dépôts

Awesome GitHub RepositoriesDatabase Configuration Management

Utilities and settings for tuning database performance, memory usage, and operational parameters.

Distinguishing note: Focuses on operational tuning and resource allocation rather than the storage engine architecture itself.

Explore 3 awesome GitHub repositories matching data & databases · Database Configuration Management. Refine with filters or upvote what's useful.

Awesome Database Configuration Management GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • rethinkdb/rethinkdbAvatar de rethinkdb

    rethinkdb/rethinkdb

    26,996Voir sur GitHub↗

    RethinkDB is a distributed, document-oriented database designed to store and manage JSON-formatted data across scalable clusters. It utilizes a custom log-structured storage engine with B-Tree indexing to ensure high-performance disk I/O and data persistence. The system maintains high availability through automatic sharding and replication, employing a primary-replica voting consensus mechanism to handle node failures and ensure consistent cluster operations. A defining characteristic of the platform is its reactive changefeed engine, which allows applications to subscribe to live data update

    RethinkDB allows configuring the database page cache size via command-line arguments or configuration files to balance memory availability with query performance requirements.

    C++
    Voir sur GitHub↗26,996
  • qax-os/excelizeAvatar de qax-os

    qax-os/excelize

    20,682Voir sur GitHub↗

    Excelize is a library for reading and writing spreadsheet files in the Office Open XML format. It provides a comprehensive suite of tools for programmatically creating, modifying, and analyzing workbooks, worksheets, and cell data, ensuring compatibility across various office software suites through structured XML serialization. The library distinguishes itself with a built-in formula calculation engine that evaluates complex mathematical and logical expressions directly against workbook data. It also features a memory-mapped streaming architecture, which allows for the efficient processing o

    Allows tuning of database memory and resource thresholds to optimize performance and concurrency.

    Goagentaianalytics
    Voir sur GitHub↗20,682
  • phiresky/sql.js-httpvfsAvatar de phiresky

    phiresky/sql.js-httpvfs

    3,685Voir sur GitHub↗

    sql.js-httpvfs is a virtual file system and loader designed to execute SQL queries against read-only SQLite databases hosted on remote static file servers. It enables the retrieval of database files over HTTP without requiring the entire file to be downloaded to the client. The project distinguishes itself by using byte-range HTTP fetching to simulate local random-access reads. It includes a chunking tool that splits large databases into smaller pieces via a JSON configuration, which helps bypass file size limits and optimizes caching. The system covers a range of capabilities including remo

    Manages database connectivity and layout using direct URLs or JSON configuration files.

    TypeScript
    Voir sur GitHub↗3,685
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