为何要使用redis高版本的一封说服邮件
最近公司内和OP同学针对在生产环境中redis的版本存在分歧，写了一封邮件来说服OP。文中提及了为何要使用redis2.4版本而不是2.2，以及解决他人的concern，先阐述过人的feature，再娓娓道来他人的concern并提出解决方法，最终OP还是compromise了，算是胜仗，这
最近公司内和OP同学针对在生产环境中redis的版本存在分歧，写了一封邮件来说服OP。文中提及了为何要使用redis2.4版本而不是2.2，以及解决他人的concern，先阐述过人的feature，再娓娓道来他人的concern并提出解决方法，最终OP还是compromise了，算是胜仗，这里记录下。
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Dear Operation System同学,
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先感谢OP同学提供给RD使用Redis的支持工作。对于Redis使用2.4.14还是2.2版本，详设评审时存在分歧。RD在多方面权衡下还是坚持使用2.4版本，其带来的好处一一道来。
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1. 快速的导入
v2.4导入可以使用pipeline模式，在命令行即可以将raw command通过管道直接传递给redis-cli客户端批量导入。
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具体命令如下：
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echo `date` > importlog && ?cat cmd.raw | redis-cli -h 10.81.31.95 -p 16379 –pipe >> importlog && echo `date` >> importlog
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耗时：3600w数据，4min导入。吞吐量15w/s。
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v2.2导入使用plain command逐个将命令传递给redis，那么其每次发起远程调用的消耗非常大。
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具体命令如下：
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echo `date` > importlog2 && cat cmd.plain | redis-cli -h 10.81.31.95 -p 16379 >> importlog2 && echo `date` >> importlog2
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耗时：3600w数据，510min导入。吞吐量1k/s。
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结论：pipeline特性可以快速导入大数据，以最短最经济的方式完成任务，同时简化上线步骤，日后维护、数据迁移等工作也可以变得容易。
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2. 其他原因
RDB文件持久化提速。
改用jemalloc的内存分配模式 是的内存碎片少，从而更节省内存。
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详见链接
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其他concern
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Q：OP担心XX项目会带来YY数据的膨胀？
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A：该项目目前正在kickoff阶段，倘若未来YY在业务数据量上骤增，可以启用迁移方案将redis集群迁移到内存更大的机器(会提前做好预算)，迁移工作由于使用了2.4版本的pipeline特性，加之rdb持久化，可以平滑的完成，不存在复杂的迁移过程。
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Q：为什么不用memcache？
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A：
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- 这个应用场景是需要满足100%命中率，因此将所有数据放入内存，实际上是将redis当做了一个K-V的DB来用，而不单纯看做一个cache。
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- 启用持久化特性，当down机恢复，会迅速加载dump并预热。
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- 项目组计划是将APP+DB的架构改成成为APP+CACHE+DB，因此需要将DB上的修改操作sync到NoSQL中，供业务模块快速获取数据，解决北斗“慢”的问题。
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- Redis可以作为集中式的队列，或者一些业务不重要的数据存储介质，对于做分布式调用非常有帮助。系统一切可以用生产者消费模型替换的场景，均可以改造为使用redis，从而去除单点问题。分布式锁，pub/sub等功能更是日后可以利用的极佳功能。
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另外，由于2.4是2.2版本的一个branch，是向下兼容的。
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原文地址：为何要使用redis高版本的一封说服邮件, 感谢原作者分享。
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