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  • pdf文档 RDBMSとNoSQLのメリットを併せ持つクラウドネイティブなNewSQLデータベース 「TiDB」をKubernetesで動かしてみよう!

    24時間365日サポート 技術トレーニングとコンサルティング コミュニティエディション Open Source Conference 2022 Online/Spring 11 TiDB の特徴 Horizontal Scalability (水平拡張) MySQL Compatible Syntax (MySQL 互換) Distributed Transactions (分散トランザクション) OLAP のサポート) High Availability (高可用性) Open Source Conference 2022 Online/Spring 12 TiDB の特徴 Horizontal Scalability (水平拡張) MySQL Compatible Syntax (MySQL 互換) Distributed Transactions (分散トランザクション) OLAP のサポート) High Availability (高可用性) Open Source Conference 2022 Online/Spring 13 TiDB の特徴 (Horizontal Scalability) TiDB はアーキテクチャ上 SQL を処理するコンポーネントと ストレージ部分が分離されています それぞれの単位(SQL、ストレージ)で水平に拡張が可能です
    0 码力 | 71 页 | 6.65 MB | 1 年前
    3
  • pdf文档 02 TiDB Operator 架构与实现 付业成

    com - Kubernetes has pod, deployment, statefulset, etc. - But it does not know how to operate a TiDB cluster... Kubernetes Pattern - Declarative Model PingCAP.com - Kubernetes has pod, deployment, statefulset PingCAP.com Scheduler Extender kube-scheduler kube-scheduler tidb-scheduler other Pod other Pod other Pod PD Pod TiKV Pod TiDB Pod PingCAP.com Scheduler Extender 3 TiKV ❌ Node-A Node-B Node-C TiKV TiKV
    0 码力 | 47 页 | 1.73 MB | 6 月前
    3
  • pdf文档 TiDB v6.5 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users on Kubernetes as an independent Pod #1447 @SabaPing TiDB v6.5.0 (and later) and TiDB Operator v1.4.0 (and later) support deploying TiDB Dashboard as an independent Pod on Kubernetes. Using TiDB Operator Operator, you can access the IP address of this Pod to start TiDB Dashboard. Independently deploying TiDB Dashboard provides the following benefits: • The compute work of TiDB Dashboard does not pose pressure
    0 码力 | 5282 页 | 99.69 MB | 1 年前
    3
  • pdf文档 TiDB 开源分布式关系型数据库

    做了调度策略的增强,实现 TiDB 集群的各个 Pod 在多机房之间的打散和调度, 提升了 业务的云上容灾能力。 新架构使得运维管控层变薄, 大部分的运维功能下沉到 Operator 来实现, DBA 日常操作的运维工作让 RD 自助进行TiDB 集群的管理变得容易, 且自动容错能力非常强, 遇到 TiKV 或者 PD 节点宕机, K8S 集群自动 扩容出新的 Pod 来接蔡, 不需要 DBA 手动干预,节省大量运维成本。
    0 码力 | 58 页 | 9.51 MB | 1 年前
    3
  • pdf文档 TiDB v7.6 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users large-scale data. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or +---------+-------+ 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 6123 页 | 107.24 MB | 1 年前
    3
  • pdf文档 TiDB v7.5 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users large-scale data. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or +---------+-------+ 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 6020 页 | 106.82 MB | 1 年前
    3
  • pdf文档 TiDB v7.1 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users large-scale data. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or +---------+-------+ 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 5716 页 | 104.74 MB | 1 年前
    3
  • pdf文档 TiDB v8.1 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users large-scale data. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or +---------+-------+ 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 6321 页 | 107.46 MB | 1 年前
    3
  • pdf文档 TiDB v8.0 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users large-scale data. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or +---------+-------+ 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 6327 页 | 107.55 MB | 1 年前
    3
  • pdf文档 TiDB v8.5 Documentation

    Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high avail- ability. The goal of TiDB is to provide users environment. The following video introduces key features of TiDB. 2.1.1 Key features • Easy horizontal scaling The TiDB architecture design separates computing from storage, letting you scale out or 484 13 rows in set (0.01 sec) Visualize the above data through a line chart with time as the horizontal axis and cumulative order amount as the vertical axis. You can easily know the historical ordering
    0 码力 | 6730 页 | 111.36 MB | 10 月前
    3
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