. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that plan consists of operators, each of which implements a specific piece of work. The operators combine into a tree-like structure, which represents the overall execution plan. The plan represents each operator

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 What won’t work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that plan consists of operators, each of which implements a specific piece of work. The operators combine into a tree-like structure, which represents the overall execution plan. The plan represents each operator

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a log of all queries from my app. Is there a way I can try them against Vitess to see how they’ll work? . 41 Vindexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 What won’t work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a log of all queries from my app. Is there a way I can try them against Vitess to see how they’ll work? . 24 VIndexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . for each table. Vitess also supports sequence generators that can be used to generate new ids that work like MySQL auto increment columns. The VSchema allows you to associate table columns to sequence tables

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a log of all queries from my app. Is there a way I can try them against Vitess to see how they’ll work? . 27 VIndexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . for each table. Vitess also supports sequence generators that can be used to generate new ids that work like MySQL auto increment columns. The VSchema allows you to associate table columns to sequence tables

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Committing your work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a log of all queries from my app. Is there a way I can try them against Vitess to see how they’ll work? . 28 Vindexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . associated VSchema. One of the underlying goals of Vitess’ planning strategy is to push down as much work as possible to the underlying MySQL instances. When this is not possible, Vitess will use a plan that

"ReadOnly", "DbNameOverride": "", "KeyRange": { "Start": "", "End": "" } } Vtgate – Structure Vtgate – SQL Example Vtgate – SQL Example Plan SQL语句 备注 SelectUnshar ded select * from main1 Limit • Kill Timeout SQL • Query blacklisting • row cache • more stats & monitor Vttablet Structure Vitess Resharding • read scaling up ? —> replica • write scale up ? —> split • dynamic

the minikube-instructions. This was done to gain better understanding of the general deployment structure and the integration with the core components. • The initially enumerated application endpoints and mostly well-documented, making it particularly easy for the auditors to review the software’s structure. Except for the SQL parser, none of the components had overly complex logic or included typically