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Amazon RDS 宣佈支援 PostgreSQL 10

Amazon RDS 宣佈支援 PostgreSQL 10 了:「PostgreSQL 10 now Supported in Amazon RDS」。而且 AWS 這次推出的還包括了 10.1 的 patch:

As of version 10, PostgreSQL no longer uses three-part version numbers, and is shifting to two-part version numbers. This release includes all patches from the PostgreSQL 10.1 minor version.

10 的第一個版本是去年十月初 (在「PostgreSQL 10 Released」這邊可以看到),10.1 是去年十一月初 (在「PostgreSQL 10.1, 9.6.6, 9.5.10, 9.4.15, 9.3.20, and 9.2.24 released!」),現在二月底,所以延遲大約是三個多月的時間...

10.2 是二月初,不知道會多久...

Amazon Aurora (MySQL) 推出相容於 MySQL 5.7 的版本

Amazon Aurora (MySQL) 推出相容於 MySQL 5.7 的版本了:「Amazon Aurora is Compatible with MySQL 5.7」。


Amazon Aurora is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The MySQL-compatible edition of Aurora delivers up to 5X the throughput of standard MySQL running on the same hardware, and is designed to be compatible with MySQL 5.6, enabling existing MySQL applications and tools to run without requiring modification.

5.7 其中一個賣點在於支援 Spatial index (透過 R-tree),不過 AWS 的版本看起來是自己用 B-tree 加上 Z-order curve 實做:「Amazon Aurora under the hood: indexing geospatial data using Z-order curves」。

我覺得看看就好啦,拿 244GB RAM 的 r3.8xlarge 跑 1GB 的 data set,當大家是傻逼嗎...

Amazon Aurora (MySQL) 提供 Parallel Query 讓人申請使用

AWS 宣佈了 Amazon Aurora (MySQL) 支援 Parallel Query:「Amazon Aurora Parallel Query is Available for Preview」。

這邊提到的 Parallel Query 比較像是 Amazon Athena,直接把單一 Query 打散到多台機器上跑:

Amazon Aurora Parallel Query improves the performance of large analytic queries by pushing processing down to the Aurora storage layer, spreading processing across hundreds of nodes.

也就是說,這算是單一 SQL Query 平行運算的進階版本。

在這之前,AWS 都已經支援單一 Query 在單台機器上利用多 CPU 平行運算。其中 PostgreSQL 是 9.6+ 本身就有支援。Amazon Aurora (MySQL) 則是在 2016 時透過 Parallel Read Ahead 支援某些情境下的的單一 Query 多 CPU 運算了 (發現之前沒寫到...):「Amazon Aurora Update – Parallel Read Ahead, Faster Indexing, NUMA Awareness」。

這個功能目前是 Preview 階段,然後開在這些地區讓大家測試使用:

The preview is available for the MySQL-compatible edition of Amazon Aurora, and is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Ireland) Regions. Sign up to get access.


Amazon Aurora (PostgreSQL) 也支援 Read Replica 了

Amazon Aurora (PostgreSQL) 支援 Read Replica 了:「Announcing Amazon Aurora PostgreSQL Read Replica for Amazon RDS for PostgreSQL」。

馬上想到的用途是量爆增時,如果當初有作 R/W split (讀寫分離) 就可以直接用錢撐住,不過官方給的範例是降低 RDS 轉移到 Aurora 的 downtime,這點就有點微妙...:

You can now create an Amazon Aurora PostgreSQL read replica for an Amazon RDS for PostgreSQL instance, allowing you to continuously replicate to Amazon Aurora PostgreSQL. This helps you minimize downtime when migrating a live workload from Amazon RDS for PostgreSQL to Amazon Aurora PostgreSQL, by keeping the instances in sync until you're ready to move your applications and users to Amazon Aurora PostgreSQL.

所以這次算是陸陸續續把功能補上來,在 Amazon Aurora (MySQL) 有的一般性功能,這邊就跟著先實作...

Amazon Aurora (MySQL) 的 Stored Procedure 可以跑 AWS Lambda...

查了資料才發現去年十月 Amazon Aurora (MySQL-Compatible Edition) 就支援用 AWS Lambda 當 stored procedure 了,只是當時只支援 async mode,能做的事情比較有限:「Amazon Aurora New Features: AWS Lambda Integration and Data Load from Amazon S3 to Aurora Tables」。

Now you can invoke Lambda functions directly from within an Aurora database via stored procedures or user-defined functions. Lambda integration allows you to extend the capabilities of the database and invoke external applications to act upon data changes. For example, you can create a Lambda function that sends emails to customers whenever their address in the database is updated.

前幾天發表的則是支援 sync mode,可以等到:「Amazon Aurora with MySQL Compatibility Natively Supports Synchronous Invocation of AWS Lambda Functions」。

Starting with version 1.16, we are extending this feature to be able to able to synchronously invoke Lambda functions.

Use the native function lambda_sync when you must know the result of the execution before moving on to another action.

這解掉了 MySQL 的 stored procedure 一直很殘的問題...

Amazon Aurora 的 MySQL-Compatible Edition 開始提供相容於 MySQL 5.7 的服務

Amazon AuroraMySQL-Compatible Edition 開始支援相容 MySQL 5.7 的服務:「Announcing Preview of Amazon Aurora with MySQL 5.7 Compatibility」。

Amazon Aurora with MySQL 5.7 compatibility offers enhancements such as JSON support, spatial indexes, generated columns and performance improvement of 5x over MySQL 5.7, and up to 10x for spatial datasets.

雖然目前還在 Preview (需要申請才能用),而且開放區域有限,但總算是有消息了:

The preview is currently available in US East (N. Virginia), US East (Ohio), US West (Oregon), and Canada (Montreal).

會一定要 5.7 的,主要的需求應該是在 spatial index 上吧... JSON 反倒還好。

Amazon Aurora 的 Serverless 與 Multi-master

Amazon Aurora 推出了兩包玩意,第一包是 Serverless,讓需要人介入的情況更少:「In The Works – Amazon Aurora Serverless」。

在 Serverless 的第一個重點是支援以秒計費:

Today we are launching a preview (sign up now) of Amazon Aurora Serverless. Designed for workloads that are highly variable and subject to rapid change, this new configuration allows you to pay for the database resources you use, on a second-by-second basis.

然後是極為快速的 auto-scaling:

The endpoint is a simple proxy that routes your queries to a rapidly scaled fleet of database resources. This allows your connections to remain intact even as scaling operations take place behind the scenes. Scaling is rapid, with new resources coming online within 5 seconds

這兩個組合起來,讓使用端可以除了在 Amazon EC2 上可以快速 scale 外,後端的資料庫也能 scale 了...

第二個是 Multi-master 架構:「Sign Up for the Preview of Amazon Aurora Multi-Master」。

Amazon Aurora Multi-Master allows you to create multiple read/write master instances across multiple Availability Zones. This enables applications to read and write data to multiple database instances in a cluster, just as you can read across Read Replicas today.

(話說我一直都誤以為 Aurora 是 R/W master...)

Anyway,這個功能不知道怎麼疊上去的... 不笑得會不會有嚴重的 distributed lock issue,反而推薦大家平常都寫到同一台 (像是 PXC 就會這樣)。

Amazon RDS 支援更大的硬碟空間與更多的 IOPS

Amazon RDS 的升級:「Amazon RDS Now Supports Database Storage Size up to 16TB and Faster Scaling for MySQL, MariaDB, Oracle, and PostgreSQL Engines」。

空間上限從 6TB 變成 16TB,而且可以無痛升。另外 IOPS 上限從 30K 變成 40K:

Starting today, you can create Amazon RDS database instances for MySQL, MariaDB, Oracle, and PostgreSQL database engines with up to 16TB of storage. Existing database instances can also be scaled up to 16TB storage without any downtime.

The new storage limit is an increase from 6TB and is supported for Provisioned IOPS and General Purpose SSD storage types. You can also provision up to 40,000 IOPS for Provisioned IOPS storage volumes, an increase from 30,000 IOPS.

不過隔壁的 Amazon Aurora 還是大很多啊 (64TB),而且實際上不用管劃多大,他會自己長大:

Q: What are the minimum and maximum storage limits of an Amazon Aurora database?

The minimum storage is 10GB. Based on your database usage, your Amazon Aurora storage will automatically grow, up to 64 TB, in 10GB increments with no impact to database performance. There is no need to provision storage in advance.

Amazon Aurora (PostgreSQL 版本) 開放到其他區域了

上個月月底才宣佈 Amazon Aurora 推出 PostgreSQL 版本 (參考「Amazon Aurora 也支援 PostgreSQL 了」),不過當時只有少數的四個區域開放 (us-east-1us-east-2us-west-2eu-west-1),還不到一個月的時間就擴張了:「Amazon Aurora with PostgreSQL Compatibility Region Expansion」。

不過還是沒有東京與新加坡這兩個台灣比較常用的區域... 看起來都是比較新的 region,但首爾應該也是新的區域啊,不知道怎麼選擇的:

The PostgreSQL-compatible edition of Amazon Aurora is now available in four additional AWS regions: Canada (Central), EU (Frankfurt), Asia Pacific (Sydney), and Asia Pacific (Mumbai). This increases the number of available regions to eight, as the service launched on October 24, 2017 in US East (N. Virginia), US East (Ohio), US West (Oregon), and EU (Ireland).

RDS (MySQL/MariaDB) 支援 t2、r4 以及 m4 的新機種

這個大家等好久了,尤其 MySQL 常遇到需要用記憶體換效能的情境:「Amazon RDS for MySQL and MariaDB Supports R4, T2 and M4 Instance Types」。

先前 t2 最大只能開到 t2.large (8GB RAM),對於需要大量記憶體運算的 SQL query,就有機會被 MySQL 使用 filesort 寫到硬碟裡面暫存了。這次支援這些 instance type,開發環境至少有選擇可以開到 t2.2xlarge (32GB RAM) 跟他拼。

r4 應該是正式環境期待已久的 instance type 了。r3 最大是 r3.8xlarge (244GB),跟 r4 最大的 r4.16xlarge (488GB) 剛好差了一倍。

m4 就比較微妙了,順便補上去的感覺... 不過應該還是會有應用會剛好用到。

不過還是期待前陣子出來的 c5,對於寫出很驚人的 SQL query,在 MySQL 內跑大量運算的應用會有幫助,就繼續等吧... :o