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Multi-thread performance on a single thread in-memory database

机译:单线程内存数据库上的多线程性能

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Industries have now leveraged commodity hardware on their big data products. When it comes to big-data, large scale tasks are executed with a huge amount of data being processed and optionally stored in persistent storage. One of leading innovation in alternative NoSQL and big data which enables low cost commodity hardware plays role is Redis, an in-memory database technology. Instead of disk, memory used in Redis is mainly to avoid latency during I/O processes. Big data processes require tons of I/O process on storage. This makes in-memory database run faster than conventional disk-optimized database. This research is an attempt to expose latency and improve performance by experimenting multi-thread approach during short message (SMS) delivery in single-thread Redis environment in combination with Rapidpro, a mass SMS management platform.
机译:工业界现在已经在其大数据产品上利用了商品硬件。对于大数据,执行大型任务时会处理大量数据,并有选择地将其存储在持久性存储中。 Redis是内存数据库技术,它是替代NoSQL和大数据的领先创新之一,它使低成本的商品硬件发挥了作用。 Redis中使用的内存而不是磁盘,主要是为了避免I / O进程的延迟。大数据流程需要大量的I / O流程进行存储。这使内存数据库的运行速度比传统的磁盘优化数据库快。这项研究是通过结合大规模SMS管理平台Rapidpro在单线程Redis环境中通过在短消息(SMS)传递过程中试验多线程方法来揭示延迟并提高性能的尝试。

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