tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes The parents nodes will then pipe in nodes to their parent nodes, all the way up to a root node. The root node produces the final results of the query and delivers the results to the user. 19 Observing

tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes The parents nodes will then pipe in nodes to their parent nodes, all the way up to a root node. The root node produces the final results of the query and delivers the results to the user. Observing Execution

tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes The parents nodes will then pipe in nodes to their parent nodes, all the way up to a root node. The root node produces the final results of the query and delivers the results to the user. Observing Execution

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 Character set support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes

tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes The parents nodes will then pipe in nodes to their parent nodes, all the way up to a root node. The root node produces the final results of the query and delivers the results to the user. Observing Execution

tree-like structure, which represents the overall execution plan. The plan represents each operator as a node in the tree. Each operator takes as input zero or more rows, and produces as output zero or more rows Topology Service, and in some cases are also able to evaluate expression values locally. Each leaf node will not have input from other operators, and pipe in any nodes they produce into their parent nodes The parents nodes will then pipe in nodes to their parent nodes, all the way up to a root node. The root node produces the final results of the query and delivers the results to the user. Observing Execution

store topology data and provide a distributed locking service. Vitess uses a plug-in system to support various backends for storing topology data, which are assumed to provide a distributed, consistent working on fixing this in issue #5411, but also depend on etcd-operator which will require changes to support these newer versions. {{< /warning >}} Prerequisites Before we get started, let’s get a few things for them? • Cardinality of the column; it must be high. • Do we want some rows to live together to support in-shard joins? • Do we want certain rows that will be in the same transaction to live together?

store topology data and provide a distributed locking service. Vitess uses a plug-in system to support various backends for storing topology data, which are assumed to provide a distributed, consistent as MASTER reads. However, you get REPEATABLE_READ consistency and ACID writes for a single shard. Support is underway for cross-shard Atomic transactions. As for atomicity, the following levels are supported: effort commit. • TWOPC: multi-db transactions with 2PC commit. 37 No multi-master Vitess doesn’t support multi-master setup. It has alternate ways of addressing most of the use cases that are typically

MySQL Protocol To implement MySQL handshake 2 Vindexes Non-cryptographic hash 3 Evalengine To support MySQL built-in functions 4 Tmutils Non-cryptographic hash 5 S3 Backup Storage Non-cryptographic error: HttpResponseNotOkError: [status 500] /api/keyspaces: unknown rpc error: code = Unknown desc = node doesn't exist: /vitess/global/keyspaces/KEYSPACE_NAME/Keyspace If a single keyspace returns an error

vtprimecache Vitess concepts • keyspaceId • unique Index • Non-unique Index • second index support Select only • How to find shards by keyspaceId ? vindex hash lookup numeric Configure Server