• StreamTask with Mailbox.pdf

    Our motivation behind this proposal is to simplify the threading model of stream tasks with a mailbox-based approach (similar to execution model commonly found in the actor-model). With the current threading model in Flink’s stream tasks, there are multiple threads that potentially want to access object states concurrently, for example event-processing and checkpoint triggering. Threads are shielded from each other through mutually exclusive access with a single “global” lock - the infamous checkpointing lock.

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  • QueryableStateFLINK-3779.pdf

    Flink QueryableState设计文档(FLINK-3779) Flink offers state abstractions for user functions1 in order to guarantee fault-tolerant processing of streams. Users can work with both non-partitioned (Checkpointed interface) and partitioned state (getRuntimeContext().getState(ValueStateDescriptor) and other variants).

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  • 分布式一致性快照算法.pdf

    Distributed Snapshots: Determining Global States of Distributed Systems 分布式一致性算法论文(Chandy-Lamport算法)

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    2020-06-04
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  • storm原理分析

    分析storm的相关框架,底层实现原理。

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    2019-03-04
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  • phoenix-4.14.1-HBase-1.2-client.jar

    phoenix-4.14.1-HBase-1.2-client.jar

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    2019-02-26
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  • RedisDesktopManager

    redis可视化工具。

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    2019-02-25
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