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Percona 宣佈支援 MyRocks (MySQL 上的 RocksDB engine)

RocksDBFacebookGoogle 放出的 LevelDB 改出來,然後被更多人接受並且投注資源的 library... (看兩邊的 GitHub 應該就會有感覺了)

而 Facebook 的人在改進後又花了不少力氣 porting 到 MySQL 上...

之前 Twitter 上就有看到不少消息,這次算是在 Percona 官方的 blog 上正式公佈要支援 MyRocks 的消息:「Announcing MyRocks in Percona Server for MySQL」。

依照目前的計畫次在明年 2017 的 Q1 放出 experimental build,依照 Percona 的品質慣例,應該是可以拿來在測試環境下跑的順順的 (在還沒有 heavy loading 的前提下):

We will provide the experimental builds of MyRocks in Percona Server in Q1 2017, and we encourage you to start testing and experimenting so we can quickly release a solid GA version.

文章下面的 comment 剛好有人提到 Percona 另外一個產品線 TokuDB,這兩個產品線重複的問題:

MyRocks seems pretty similar to TokuDB. They are both write-optimized. MyRocks uses LSM tree while TokuDB uses fractal tree.

How do the 2 compare? Which one would you recommend using?

之前被 Percona 買下的 TokuDB 跟 Facebook 所發展出來的 MyRocks 的產品重複性頗高 (都是為了寫入的部分最佳化)。應該還是因為 fractal treeLSM tree 成熟度造成的效能差異還是太明顯吧 (當然另外也跟後面公司投入的資源有關),讓 Percona 決定還是要支援 MyRocks,而不是全力推動自家買下的 TokuDB... (唔,變成阿斗了?)

不知道成熟後有沒有機會變成 InnoDB replacement...

Amazon EBS 推出新磁碟種類

Amazon EBS 推出了新的磁碟種類,都是比現在更經濟 (白話文:更便宜) 的方案:「Amazon EBS Update – New Cold Storage and Throughput Options」。

第一種是 Amazon EBS Throughput Optimized HDD,代號是 st1;第二種是 Amazon EBS Cold HDD,代號是 sc1,兩種都是傳統磁頭硬碟。

第一種 st1 重視 sequential 的 throughput:

Starts at 250 MB/s for a 1 terabyte volume, and grows by 250 MB/s for every additional provisioned terabyte until reaching a maximum burst throughput of 500 MB/s.

第二種 sc1 則是重視堆資料的費用:

Designed for workloads similar to those for Throughput Optimized HDD that are accessed less frequently; $0.025 / gigabyte / month.

要注意的是,IOPS 是可以累計的,而未滿 1MB 的 access 會計算成 1MB,所以只適合大量 sequential access 的應用,像是 Hadoop 這類 big data 類的應用:

For both of the new magnetic volume types, the burst credit bucket can grow until it reaches the size of the volume. In other words, when a volume’s bucket is full, you can scan the entire volume at the burst rate. Each I/O request of 1 megabyte or less counts as 1 megabyte’s worth of credit. Sequential I/O operations are merged into larger ones where possible; this can increase throughput and maximizes the value of the burst credit bucket (to learn more about how the bucket operates, visit the Performance Burst Details section of my New SSD-Backed Elastic Block Storage post).

另外 sc1 也是目前每單位裡面最便宜的價錢,不知道拿來當 root 會底多慢 XDDD

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