So you need to purchase a new database server, and you really don’t know where to start.. Because their maybe different recommendations for different OS’s I am going to stick with Linux with these recommendations. I want to say right off
So you need to purchase a new database server, and you really don’t know where to start..
Because their maybe different recommendations for different OS’s I am going to stick with Linux with these recommendations. I want to say right off the bat here… choosing the right hardware should probably not be a five minute task. I think you really need to spend time reviewing your application, it’s access patterns, the io capacity, etc. You just can’t do this in five minutes generally. But if your under the gun and asked me to spec something out today… here are some general guidelines.
As of March 10th 2009 here is what I would recommend ( This are going to change every few months potentially with new versions of MySQL & new hardware:
CPU:
Currently the scalability of Innodb beyond 8 cores is limited, in fact with the current ( unpatched ) releases you may see a performance regression with more then 8 cores. We wrote about this before. If you have the money go with the fastest CPU’s available.
Avoid servers with lots of cores and a lower speeds.
Memory:
The more memory generally the better. Here I would shoot for an amount of memory that will allow 100% of your hot data to be in memory. If you do not know how much data is going to be hot, a good guess in my experience is 10-20% of the total database size
, but that’s going to vary from application to application. If you can’t figure out the total host data, more is better or a 20% rule of thumb is better then nothing. Minimally plan for 2-4GB of memory to be allocated to the OS. Typically I want at least
4GB of memory for the OS, and if I have a really active database I want more ( 8GB+ ). When I say 4GB for the OS, this will also be used for the MySQL Per thread buffers/thread stack, etc. So if you have a 24GB Database and all 24GB is hot or going to be
used frequently I may put in 32GB of memory in my system and allocate 24GB to innodb and reserve the other 8GB for the OS and other items.
Disk:
Disk is going to be a toughy in 5 minutes. You really have two concerns here, Disk capacity & IO Capacity (think io’s per second). Disk capacity is generally pretty easy, I need XGB of disk space… most people can estimate this no problems. Keep in mind
with RAID you will lose some raw disk capacity ( I.e. 4 160GB drives in a RAID 10 setup will deliver ~320GB of usable space ). A 5 minute answer to IO capacity is a bit more of a challenge. One of the descisions yo will need to make if you can get by
with internal disk or you need a SAN. Just the other day
Peter Z wrote about when to choose a SAN… give it a read. Assuming your making a decision in 5 mintes I am going to make an assumption that your going to look for internal disk. Purchasing the correct SAN in my opinion requires a lot of thought. So
Let assume you want to use internal disk. First If all of your data fits into memory, it lessons your disk requirements a bit but it will not eliminate disk IO ( your still going to read and write to disk, but your reads should be lessened ). I strongly
urge that you keep the database and OS completely separate. So that’s 2 disks for the OS ( mirrored disks should be fine ). For the database I typically recommend RAID10 for the data ( RAID 5 maybe OK for database with fewer writes, I.e. data warehouses
) which means a minimum of 4 disks for your database. So thats 6 disks to start with. You can then scale up from there as you need more, without more analysis your going to be guessing here. In terms of the type of drives, SAS or SCSI in either 10K
or 15K speeds are pretty standard. I would avoid SATA drives that are
Disk Controller:
Cache on your disk controller is important and the more the better in most cases. Make sure your controller has a battery backup, otherwise its really useless.
Network Cards:
Purchase at least two network cards for your system, both full 1GBE. Typically I would bond these two nics together to give some redundancy. Also avoid dropping your new server into a 100Mb/s network as well.
A quick note on the OS… make sure you install a 64 bit OS!
原文:http://www.bigdbahead.com/?p=158

InnoDB使用redologs和undologs確保數據一致性和可靠性。 1.redologs記錄數據頁修改,確保崩潰恢復和事務持久性。 2.undologs記錄數據原始值,支持事務回滾和MVCC。

EXPLAIN命令的關鍵指標包括type、key、rows和Extra。 1)type反映查詢的訪問類型,值越高效率越高,如const優於ALL。 2)key顯示使用的索引,NULL表示無索引。 3)rows預估掃描行數,影響查詢性能。 4)Extra提供額外信息,如Usingfilesort提示需要優化。

Usingtemporary在MySQL查詢中表示需要創建臨時表,常見於使用DISTINCT、GROUPBY或非索引列的ORDERBY。可以通過優化索引和重寫查詢避免其出現,提升查詢性能。具體來說,Usingtemporary出現在EXPLAIN輸出中時,意味著MySQL需要創建臨時表來處理查詢。這通常發生在以下情況:1)使用DISTINCT或GROUPBY時進行去重或分組;2)ORDERBY包含非索引列時進行排序;3)使用複雜的子查詢或聯接操作。優化方法包括:1)為ORDERBY和GROUPB

MySQL/InnoDB支持四種事務隔離級別:ReadUncommitted、ReadCommitted、RepeatableRead和Serializable。 1.ReadUncommitted允許讀取未提交數據,可能導致臟讀。 2.ReadCommitted避免臟讀,但可能發生不可重複讀。 3.RepeatableRead是默認級別,避免臟讀和不可重複讀,但可能發生幻讀。 4.Serializable避免所有並發問題,但降低並發性。選擇合適的隔離級別需平衡數據一致性和性能需求。

MySQL適合Web應用和內容管理系統,因其開源、高性能和易用性而受歡迎。 1)與PostgreSQL相比,MySQL在簡單查詢和高並發讀操作上表現更好。 2)相較Oracle,MySQL因開源和低成本更受中小企業青睞。 3)對比MicrosoftSQLServer,MySQL更適合跨平台應用。 4)與MongoDB不同,MySQL更適用於結構化數據和事務處理。

MySQL索引基数对查询性能有显著影响:1.高基数索引能更有效地缩小数据范围,提高查询效率;2.低基数索引可能导致全表扫描,降低查询性能;3.在联合索引中,应将高基数列放在前面以优化查询。

MySQL學習路徑包括基礎知識、核心概念、使用示例和優化技巧。 1)了解表、行、列、SQL查詢等基礎概念。 2)學習MySQL的定義、工作原理和優勢。 3)掌握基本CRUD操作和高級用法,如索引和存儲過程。 4)熟悉常見錯誤調試和性能優化建議,如合理使用索引和優化查詢。通過這些步驟,你將全面掌握MySQL的使用和優化。

MySQL在現實世界的應用包括基礎數據庫設計和復雜查詢優化。 1)基本用法:用於存儲和管理用戶數據,如插入、查詢、更新和刪除用戶信息。 2)高級用法:處理複雜業務邏輯,如電子商務平台的訂單和庫存管理。 3)性能優化:通過合理使用索引、分區表和查詢緩存來提升性能。


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

AI Hentai Generator
免費產生 AI 無盡。

熱門文章

熱工具

SublimeText3 Mac版
神級程式碼編輯軟體(SublimeText3)

PhpStorm Mac 版本
最新(2018.2.1 )專業的PHP整合開發工具

WebStorm Mac版
好用的JavaScript開發工具

Atom編輯器mac版下載
最受歡迎的的開源編輯器

Dreamweaver Mac版
視覺化網頁開發工具