mirror of
https://github.com/LCTT/TranslateProject.git
synced 2024-12-26 21:30:55 +08:00
TSL&PRF
This commit is contained in:
parent
46f1ecb62c
commit
f9bc416af5
@ -1,67 +0,0 @@
|
|||||||
[#]: collector: (lujun9972)
|
|
||||||
[#]: translator: (wxy)
|
|
||||||
[#]: reviewer: ( )
|
|
||||||
[#]: publisher: ( )
|
|
||||||
[#]: url: ( )
|
|
||||||
[#]: subject: (Oracle Unleashes World’s Fastest Database Machine ‘Exadata X8M’)
|
|
||||||
[#]: via: (https://opensourceforu.com/2019/09/oracle-unleashes-worlds-fastest-database-machine-exadata-x8m/)
|
|
||||||
[#]: author: (Longjam Dineshwori https://opensourceforu.com/author/dineshwori-longjam/)
|
|
||||||
|
|
||||||
Oracle Unleashes World’s Fastest Database Machine ‘Exadata X8M’
|
|
||||||
======
|
|
||||||
|
|
||||||
* _**Exadata X8M is the first database machine with integrated persistent memory and RoCE**_
|
|
||||||
* _**Oracle also announced availability of Oracle Zero Data Loss Recovery Appliance X8M (ZDLRA)**_
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
![][1]
|
|
||||||
|
|
||||||
Oracle has released its new Exadata Database Machine X8M with an aim to set a new bar in the database infrastructure market.
|
|
||||||
|
|
||||||
Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection and high frequency trading.
|
|
||||||
|
|
||||||
“With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics,” said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle.
|
|
||||||
|
|
||||||
“Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping,” the official added.
|
|
||||||
|
|
||||||
**What’s unique about it?**
|
|
||||||
|
|
||||||
Oracle Exadata X8M uses RDMA directly from the database to access persistent memory in smart storage servers, bypassing the entire OS, IO and network software stacks. This results in lower latency and higher throughput. Using RDMA to bypass software stacks also frees CPU resources on storage servers to execute more Smart Scan queries in support of analytics workloads.
|
|
||||||
|
|
||||||
**No More Storage Bottlenecks**
|
|
||||||
|
|
||||||
“High-performance OLTP applications require a demanding mixture of high Input/Output Operations Per Second (IOPS) with low latency. Direct database access to shared persistent memory increases peak performance to 16 million SQL read IOPS, 2.5X greater than the industry leading Exadata X8,” Oracle said in a statement.
|
|
||||||
|
|
||||||
Additionally, Exadata X8M dramatically reduces the latency of critical database IOs by enabling remote IO latencies below 19 microseconds – more than 10X faster than the Exadata X8. These ultra-low latencies are achieved even for workloads requiring millions of IOs per second.
|
|
||||||
|
|
||||||
**More Efficient Better than AWS and Azure**
|
|
||||||
|
|
||||||
The company claimed that compared to the fastest Amazon RDS storage for Oracle, Exadata X8M delivers up to 50X lower latency, 200X more IOPS and 15X more capacity.
|
|
||||||
|
|
||||||
Compared to Azure SQL Database Service storage, it says, Exadata X8M delivers 100X lower latency, 150X more IOPS and 300X more capacity.
|
|
||||||
|
|
||||||
According to oracle, a single rack Exadata X8M delivers up to 2X the OLTP read IOPS, 3X the throughput and 5X lower latency than shared storage systems with persistent memory such as a single rack of Dell EMC PowerMax 8000.
|
|
||||||
|
|
||||||
“By simultaneously supporting faster OLTP queries and greater throughput for analytics workloads, Exadata X8M is the ideal platform on which to converge mixed-workload environments to decrease IT costs and complexity,” it said.
|
|
||||||
|
|
||||||
**Oracle Zero Data Loss Recovery Appliance X8**
|
|
||||||
|
|
||||||
Oracle today also announced availability of Oracle Zero Data Loss Recovery Appliance X8M (ZDLRA), which uses new 100Gb RoCE for high throughput internal data transfers between compute and storage servers.
|
|
||||||
|
|
||||||
Exadata and ZDLRA customers can now choose between RoCE or InfiniBand-based Engineered Systems for optimal flexibility in their architectural deployments.
|
|
||||||
|
|
||||||
--------------------------------------------------------------------------------
|
|
||||||
|
|
||||||
via: https://opensourceforu.com/2019/09/oracle-unleashes-worlds-fastest-database-machine-exadata-x8m/
|
|
||||||
|
|
||||||
作者:[Longjam Dineshwori][a]
|
|
||||||
选题:[lujun9972][b]
|
|
||||||
译者:[译者ID](https://github.com/译者ID)
|
|
||||||
校对:[校对者ID](https://github.com/校对者ID)
|
|
||||||
|
|
||||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
|
|
||||||
|
|
||||||
[a]: https://opensourceforu.com/author/dineshwori-longjam/
|
|
||||||
[b]: https://github.com/lujun9972
|
|
||||||
[1]: https://i2.wp.com/opensourceforu.com/wp-content/uploads/2019/02/Oracle-Cloud.jpg?resize=350%2C212&ssl=1
|
|
@ -0,0 +1,64 @@
|
|||||||
|
[#]: collector: (lujun9972)
|
||||||
|
[#]: translator: (wxy)
|
||||||
|
[#]: reviewer: (wxy)
|
||||||
|
[#]: publisher: ( )
|
||||||
|
[#]: url: ( )
|
||||||
|
[#]: subject: (Oracle Unleashes World’s Fastest Database Machine ‘Exadata X8M’)
|
||||||
|
[#]: via: (https://opensourceforu.com/2019/09/oracle-unleashes-worlds-fastest-database-machine-exadata-x8m/)
|
||||||
|
[#]: author: (Longjam Dineshwori https://opensourceforu.com/author/dineshwori-longjam/)
|
||||||
|
|
||||||
|
Oracle 发布全球最快的数据库机器 Exadata X8M
|
||||||
|
======
|
||||||
|
|
||||||
|
> Exadata X8M 是第一台具有集成持久内存和 RoCE 的数据库机器。Oracle 还宣布推出 Oracle 零数据丢失恢复设备 X8M(ZDLRA)。
|
||||||
|
|
||||||
|
![](https://img.linux.net.cn/data/attachment/album/201909/20/191530qiyvvxl8qqcov8xq.jpg)
|
||||||
|
|
||||||
|
Oracle 发布了新的 Exadata 数据库机器 X8M,旨在为数据库基础架构市场树立新的标杆。
|
||||||
|
|
||||||
|
Exadata X8M 结合了英特尔 Optane DC 持久存储器和通过融合以太网(RoCE)的 100 千兆的远程直接内存访问(RDMA)来消除存储瓶颈,并显著提高性能,其适用于最苛刻的工作负载,如在线事务处理(OLTP)、分析、物联网、欺诈检测和高频交易。
|
||||||
|
|
||||||
|
“借助 Exadata X8M,我们可以提供内存级的性能,同时为 OLTP 和分析提供共享存储的所有优势,”Oracle 任务关键型数据库技术执行副总裁 Juan Loaiza 说。
|
||||||
|
|
||||||
|
“使用对共享持久存储器的直接数据库访问将响应时间减少一个数量级,可加速每个 OLTP 应用程序,它是需要实时访问大量数据的应用程序的游戏规则改变者,例如欺诈检测和个性化购物,”官方补充。
|
||||||
|
|
||||||
|
### 它有什么独特之处?
|
||||||
|
|
||||||
|
Oracle Exadata X8M 使用 RDMA 让数据库直接访问智能存储服务器中的持久内存,从而绕过整个操作系统、IO 和网络软件堆栈。这导致更低的延迟和更高的吞吐量。使用 RDMA 绕过软件堆栈还可以释放存储服务器上的 CPU 资源,以执行更多智能扫描查询来支持分析工作负载。
|
||||||
|
|
||||||
|
### 更少的存储瓶颈
|
||||||
|
|
||||||
|
“高性能 OLTP 应用需要高的每秒输入/输出操作(IOPS)和低延迟。直接数据库访问共享持久性内存可将SQL 读取的峰值性能提升至 1600 万 IOPS,比行业领先的 Exadata X8 高出 2.5 倍,“Oracle 在一份声明中表示。
|
||||||
|
|
||||||
|
此外,Exadata X8M 通过使远程 IO 延迟低于 19 微秒,大大减少了关键数据库 IO 的延迟 —— 这比 Exadata X8 快 10 倍以上。即使对于每秒需要数百万 IO 的工作负载,也可实现这些超低延迟。
|
||||||
|
|
||||||
|
### 比 AWS 和 Azure 更高效
|
||||||
|
|
||||||
|
该公司声称,与 Oracle 最快的 Amazon RDS 存储相比,Exadata X8M 的延迟降低了 50 倍,IOPS 提高了 200 倍,容量提高了 15 倍。
|
||||||
|
|
||||||
|
与 Azure SQL 数据库服务存储相比,Exadata X8M 的延迟降低了 100 倍,IOPS 提高了 150 倍,容量提高了 300 倍。
|
||||||
|
|
||||||
|
据 Oracle 称,单机架 Exadata X8M 可提供高达 2 倍的 OLTP 读取 IOPS,3 倍的吞吐量和比具有持久性内存的共享存储系统(如 Dell EMC PowerMax 8000 的单机架)低 5 倍的延迟。
|
||||||
|
|
||||||
|
“通过同时支持更快的 OLTP 查询和更高的分析工作负载吞吐量,Exadata X8M 是融合混合工作负载环境以降低 IT 成本和复杂性的理想平台,”该公司说。
|
||||||
|
|
||||||
|
### Oracle 零数据丢失恢复设备 X8
|
||||||
|
|
||||||
|
Oracle 当天还宣布推出 Oracle 零数据丢失恢复设备 X8M(ZDLRA),它使用新的 100Gb RoCE,用于计算和存储服务器之间的高吞吐量内部数据传输。
|
||||||
|
|
||||||
|
Exadata 和 ZDLRA 客户现在可以在 RoCE 或基于 InfiniBand 的工程系统之间进行选择,以在其架构部署中实现最佳灵活性。
|
||||||
|
|
||||||
|
--------------------------------------------------------------------------------
|
||||||
|
|
||||||
|
via: https://opensourceforu.com/2019/09/oracle-unleashes-worlds-fastest-database-machine-exadata-x8m/
|
||||||
|
|
||||||
|
作者:[Longjam Dineshwori][a]
|
||||||
|
选题:[lujun9972][b]
|
||||||
|
译者:[wxy](https://github.com/wxy)
|
||||||
|
校对:[wxy](https://github.com/wxy)
|
||||||
|
|
||||||
|
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
|
||||||
|
|
||||||
|
[a]: https://opensourceforu.com/author/dineshwori-longjam/
|
||||||
|
[b]: https://github.com/lujun9972
|
||||||
|
[1]: https://i2.wp.com/opensourceforu.com/wp-content/uploads/2019/02/Oracle-Cloud.jpg?resize=350%2C212&ssl=1
|
Loading…
Reference in New Issue
Block a user