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Tech Lead，分布式搜索数据库 SenseiDB 创始人. CEO/CTO 是分布式计算领域的旗帜性人物和开源社区领袖，同时是国际知名开源项目 Codis 作者。 Codis 是基于 Redis 的分布式集群解决方案， 为用户提供在线弹性伸缩和高性能的缓存服务，该项目 目前已广泛被各大互 联网公司（百度/小米/滴滴/猎豹 等）采用。 核心技术团队均为一线互联网公司基础架构部资深架构师，有技术改变世界的强烈抱负。

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation

transaction mode or to solve problems at the system architecture level, such as placing counter in Redis. Nonetheless, the optimistic transaction model is efficient if the access conflict is not very severe determines whether to use the MPP framework to perform the calculation. In the MPP mode, the join keys are redis- tributed through the Exchange operation while being calculated, which distributes the calculation