 Best Practices for MySQL with SSDsmethods reported on the following pages. About the Benchmark: TPC‐C and tpcc‐mysql TPC‐C is an OLTP industry standard benchmark developed and maintained by the Transaction Processing Performance Council processing orders. It is a mixture of read‐only and update‐intensive transactions that represent complex OLTP application activities. The benchmark implements five types of transactions (new order, payment, box” code, downloaded from the Percona GitHub site. 2. Hardware Configurations In the past, OLTP systems were frequently bottlenecked by IO, meaning CPUs were constantly waiting on HDDs to respond0 码力 | 14 页 | 416.88 KB | 1 年前3 Best Practices for MySQL with SSDsmethods reported on the following pages. About the Benchmark: TPC‐C and tpcc‐mysql TPC‐C is an OLTP industry standard benchmark developed and maintained by the Transaction Processing Performance Council processing orders. It is a mixture of read‐only and update‐intensive transactions that represent complex OLTP application activities. The benchmark implements five types of transactions (new order, payment, box” code, downloaded from the Percona GitHub site. 2. Hardware Configurations In the past, OLTP systems were frequently bottlenecked by IO, meaning CPUs were constantly waiting on HDDs to respond0 码力 | 14 页 | 416.88 KB | 1 年前3
 如何用 MySQL 构建全方位高可用应用• MySQL Cluster MySQL Cluster 概述 • 具有持久性的内存优化表 • 延迟时间短且可预测,访问时间控制在一定范围内 实时 • 自动分片、多主 • 符合 ACID,OLTP + 实时分析 高伸缩性,读取 + 写入 • 无共享,无单点故障 • 自我修复 + 联机运行 99.999% 可用性 • 关键字/值 + 复杂的关系查询 • SQL + Memcached + 和/或其附属公司。保留所有权利。 MySQL Cluster 数据节点 Master –Slave Replication •内存优化表 – 持久 – 可与基于磁盘的表混合使用 •大量并发 OLTP •通过分布式联接支持分析 •通过并行表扫描支持非索引搜索 •MySQL Cluster 7.4 DBT2 FlexAsych – 2 亿次 NoSQL 读取/秒(32 个节点) 4/16/2017 4 NoSQL 性能 2 亿次 NoSQL 读取/秒 版权所有 2015,Oracle 和/或其附属公司。保留所有权利。 •内存优化表 – 持久 – 可与基于磁盘的表混合使用 •大量并发 OLTP •通过分布式联接支持分析 •通过并行表扫描支持非索引搜索 •MySQL Cluster 7.4 DBT2 BM – 250 万条 SQL 语句/秒 4/16/2017 32 MySQL0 码力 | 40 页 | 2.19 MB | 1 年前3 如何用 MySQL 构建全方位高可用应用• MySQL Cluster MySQL Cluster 概述 • 具有持久性的内存优化表 • 延迟时间短且可预测,访问时间控制在一定范围内 实时 • 自动分片、多主 • 符合 ACID,OLTP + 实时分析 高伸缩性,读取 + 写入 • 无共享,无单点故障 • 自我修复 + 联机运行 99.999% 可用性 • 关键字/值 + 复杂的关系查询 • SQL + Memcached + 和/或其附属公司。保留所有权利。 MySQL Cluster 数据节点 Master –Slave Replication •内存优化表 – 持久 – 可与基于磁盘的表混合使用 •大量并发 OLTP •通过分布式联接支持分析 •通过并行表扫描支持非索引搜索 •MySQL Cluster 7.4 DBT2 FlexAsych – 2 亿次 NoSQL 读取/秒(32 个节点) 4/16/2017 4 NoSQL 性能 2 亿次 NoSQL 读取/秒 版权所有 2015,Oracle 和/或其附属公司。保留所有权利。 •内存优化表 – 持久 – 可与基于磁盘的表混合使用 •大量并发 OLTP •通过分布式联接支持分析 •通过并行表扫描支持非索引搜索 •MySQL Cluster 7.4 DBT2 BM – 250 万条 SQL 语句/秒 4/16/2017 32 MySQL0 码力 | 40 页 | 2.19 MB | 1 年前3
 MySQL Enterprise Edition• Server-side Thread Pool • Connection Thread Caching • Diagnostics, and SQL Tracing OLTP and Transactions • ACID Transactions • Commit, Rollback • Foreign Keys • Referential Integrity Reference System (SRS) MySQL HeatWave • Fully Managed Database Service • Single Database for OLTP, OLAP, ML • On Premise to Cloud DR and Backup • On Premise to Cloud for Analytics MySQL Enterprise0 码力 | 2 页 | 375.59 KB | 1 年前3 MySQL Enterprise Edition• Server-side Thread Pool • Connection Thread Caching • Diagnostics, and SQL Tracing OLTP and Transactions • ACID Transactions • Commit, Rollback • Foreign Keys • Referential Integrity Reference System (SRS) MySQL HeatWave • Fully Managed Database Service • Single Database for OLTP, OLAP, ML • On Premise to Cloud DR and Backup • On Premise to Cloud for Analytics MySQL Enterprise0 码力 | 2 页 | 375.59 KB | 1 年前3
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