Showing 3 open source projects for "squid-log-analyzer"

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    Stoolap

    Stoolap

    A Modern Embedded SQL Database written in Rust

    Stoolap is a lightweight, self-hosted analysis and visualization tool designed to help developers and operations teams explore log data, metrics, and debugging information from distributed systems or local applications. Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment. Its intuitive query builder lets users craft powerful filters and aggregations without complex configurations, making it easier to diagnose performance bottlenecks or uncover unusual events during testing and production. ...
    Downloads: 2 This Week
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  • 2
    Rbatis

    Rbatis

    Rust High Performance compile-time ORM(RBSON based)

    ...High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. Supports logging, customizable logging based on log crate. 100% Safe Rust with #![forbid(unsafe_code)] enabled. rbatis/example (import into Clion!). abs_admin project an complete background user management system( Vue.js+rbatis+actix-web).
    Downloads: 1 This Week
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  • 3
    sled

    sled

    The champagne of beta embedded databases

    ...A crash-safe monotonic ID generator capable of generating 75-125 million unique ID's per second. Zstd compression (use the compression build feature, disabled by default). Cpu-scalable lock-free implementation. Flash-optimized log-structured storage. Uses modern b-tree techniques such as prefix encoding and suffix truncation for reducing the storage costs of long keys with shared prefixes. If keys are the same length and sequential then the system can avoid storing 99%+ of the key data in most cases, essentially acting like a learned index. sled performs prefix encoding on long keys with similar prefixes that are grouped together in a range, as well as suffix truncation to further reduce the indexing costs of long keys.
    Downloads: 0 This Week
    Last Update:
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