ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

ticket-granting ticket (TGT). kinit In the context of using DBeaver, the command streamlines the authentication process by obtaining and kinit caching an initial ticket-granting ticket (TGT). This mechanism command, follow these steps: kinit Make sure you have a valid Kerberos ticket-granting ticket (TGT), which can be obtained using the kinit command. For a detailed guide, refer to the on command

⾃带的复制、Sentinel 和集群功 能， ⽤户可以将⾃⼰的数据库扩展⾄任意⼤⼩。 ⽆论你运营的是⼀个⼩型的个⼈⽹站， 还是⼀个为上千万 消费者服务的热⻔站点， 你都可以在 Redis 找到你想要的功能， 并将其部署到你的服务器⾥⾯。 ⻛驰电掣般的执⾏速度 Redis 是⼀款内存数据库， 它将所有数据都储存在内存⾥⾯。 因为计算机访问内存的速度要远远⾼于访问 硬盘的速度， 因此与基于硬盘设计的传统数据库相⽐， Redis 接开始使⽤ Redis 。 此外，包括亚⻢逊、⾕歌、RedisLabs、阿⾥云和腾讯云在内的多个云服务提供商都提 供了基于 Redis 或兼容 Redis 的服务， 如果你不打算⾃⼰搭建 Redis 服务器， 那么上述的这些提供商可能 是⼀个不错的选择。 图 1-1 Redis 特⾊⼀览 1.2 内容编排 本书由数据结构与应⽤、附加功能和多机功能三个部分共⼆⼗章组成。 在数据结构与应⽤部分， 书本介绍了 保证命令安全性的事务和 Lua 脚本功能， 还有扩展服务器特性的模块功能等等。 这些功能在为⽤户提 供⽅便的同时， 也进⼀步扩⼤了 Redis 的适⽤范围， 读者可以通过阅读这⼀部分来学会如何将 Redis 应⽤在更 多场景中。 多机功能部分介绍了 Redis 的三项多机功能， 它们分别是复制、Sentinel 和集群。 其中复制⽤于创建多个 Redis 服务器的副本， 并藉此提升整个 Redis 系统的读性能以及容灾能⼒。

. . 52 作业统计 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 作业服务器状态展示 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 作业分片状态展示 API . . . . . . . 72 6.3.3 作业运行状态监控 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 监听作业服务器存活 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 6.3.4 运维平台 . . . . . . . . 行，每台任务服务器只运行分配给该 服务器的分片。随着服务器的增加或宕机，ElasticJob 会近乎实时的感知服务器数量的变更，从而重新为 分布式的任务服务器分配更加合理的任务分片项，使得任务可以随着资源的增加而提升效率。 任务的分布式执行，需要将一个任务拆分为多个独立的任务项，然后由分布式的服务器分别执行某一个 或几个分片项。 举例说明，如果作业分为 4 片，用两台服务器执行，则每个服务器分到