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Awesome GitHub RepositoriesData Location Trackers

Tools for identifying the specific node and shard containing data for a given distribution key.

Distinct from Distributed Data Processing: Distinct from general distributed data processing: focuses on locating data shards for troubleshooting.

Explore 3 awesome GitHub repositories matching data & databases · Data Location Trackers. Refine with filters or upvote what's useful.

Awesome Data Location Trackers GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • ipfs/ipfsipfs का अवतार

    ipfs/ipfs

    23,137GitHub पर देखें↗

    IPFS is a peer-to-peer hypermedia protocol and content-addressed storage system that identifies data by cryptographic hashes rather than network locations. It enables the creation of a decentralized web by organizing files and directories as directed acyclic graphs of linked content identifiers. The project differentiates itself through the use of a distributed hash table for locating peers and a system of signed records to map human-readable names to changing content. It also provides HTTP gateways that translate standard web requests into peer-to-peer queries, allowing decentralized data to

    Queries distributed hash tables to identify which peers are hosting specific content identifiers.

    ipfsipfs-protocolipfs-web
    GitHub पर देखें↗23,137
  • citusdata/cituscitusdata का अवतार

    citusdata/citus

    12,562GitHub पर देखें↗

    Citus is a PostgreSQL extension that transforms a standard database into a distributed system. It functions as a sharding framework and distributed SQL engine, enabling horizontal scaling by partitioning tables across a cluster of nodes. By utilizing a coordinator-worker topology, the system manages metadata and routes queries to the appropriate nodes, allowing for parallel execution of complex operations across distributed data shards. The platform distinguishes itself through its specialized support for multi-tenant architectures and real-time analytical processing. It enables tenant-based

    Identifies the specific worker node and shard containing data for a given tenant or distribution key.

    Ccituscitus-extensiondatabase
    GitHub पर देखें↗12,562
  • jerrylead/sparkinternalsJerryLead का अवतार

    JerryLead/SparkInternals

    5,363GitHub पर देखें↗

    SparkInternals is a technical reference and architecture guide detailing the internal design and implementation of the Apache Spark distributed computing engine. It serves as a study of big data engine analysis, focusing on how the system manages cluster execution and the interaction between driver nodes, executors, and workers. The project provides a detailed breakdown of how logical plans are converted into physical execution stages. It specifically analyzes the mechanics of data shuffle operations, memory management, and the coordination of distributed job scheduling. The documentation co

    Retrieves distributed data segments from multiple worker nodes using a tracker to locate and fetch blocks.

    GitHub पर देखें↗5,363
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  2. Data & Databases
  3. Distributed Data Processing
  4. Data Location Trackers

सब-टैग एक्सप्लोर करें

  • P2P Provider LocationLocating specific peers hosting a particular content identifier within a P2P network. **Distinct from Data Location Trackers:** Distinct from general data location trackers by utilizing DHTs for peer discovery.
  • Shuffle Block TrackersMechanisms to locate and fetch specific data blocks from remote worker nodes during a shuffle. **Distinct from Data Location Trackers:** Focuses on the active retrieval of shuffle blocks via a tracker, not just static location tracking.