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RHTE - Supercharge your integration services

Red Hat Tech Exchange has taken place in Vietnam, Ho Chi Minh city two weeks ago, it is a great event held by Red Hat in Asia Pacific Region. It is open to all Red Hat partners who are interested in learning what Red Hat is doing recently, see what the trend of the open source world, basically it is a great event to share your knowledge and experience, to meet other enthusiastic people.

I am very fortunate to talk in this great event, to talk about the things I have been working on and even discuss it with many. Also got lots of great ideas too. So here are the slide.

My first talk was with Thomas Qvarnström about how to handle large size data in JBoss Fuse and how JBoss Data Grid can help in the situation.

Here is the agenda of the talk, we will be talk about this in the up coming webinar on 24th Sept.

Integration often involves storing, retrieving, and transforming data. Using a traditional database in your integration is likely to becomes a bottleneck that is expensive and hard to scale. By combining the agile, lightweight, Enterprise Integration pattern (EIP) based integrations using open source technology with scalable in-memory storage, it’s possible to achieve near linear scalability and boost performance of your integration services.

Slides of the talk,


There are some interesting questions,

Why do you suggest JBoss Data Grid as the medium for claim check pattern, why do you suggest starting up a local JDG? 

Because in JDG, you can set the eviction and expiration policy, so the it avoid running into OUTOFMEMEORYEXCEPTION, also it manages and remove the unwanted entry after use.

When do I use Messaging Topic and when do I use JDG? 

For people who is concern about the sequence of when the data arrive, and if the data seems to have the nature of "fire and forget", that is, when client only get the data when it is subscribe to the broker. And JDG is best if you have client that will keep asking for repetitive data. Or if the data need extra processing we can utilized the Map-Reduce and Distributed calculation in JDG for it.


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這個題目很多人叫我寫,可是這題目好大,這分明就是整死我咩~
所以我會分幾段慢慢寫。

JBoss 的 SubsystemDatasource WebWeb Service EJB Hibernate JMSJCAJVM 調校OS (作業系統)

先來看一下 DataSource Subsystem, DataSource 的部分主要是針對Connection Pool 做調校。

通常,程式都會需要跟資料庫界接,電腦在本機,尤其是在記憶體的運算很快,但是一旦要外部的資源連接,就是會非常的耗資源。所以現在的應用程式伺服器都會有個Pool 放一些先連接好的 資料庫connection,當程式有需要的時候就可以馬上提供,而不用花那些多餘的資源去連接資料庫。

這就是為什麼要針對Connection Pool 去做調校。

以下會討論到的參數,都是跟效能比較有關係,Datasource 還有很多參數,像是檢核connection 是否正確的,我都不會提到。如果你追求的是非常快速的效能,那我建議你一個檢核都不要加。當然,這樣就會為伺服器上面執行的程式帶來風險。這就是你要在效能與正確,安全性上面的取捨了。 (套句我朋友說的話,不可能又要馬兒好,又要馬兒不吃草的..)

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min-pool-size 

Connection Pool 最少會存留的connection 數量

max-pool-size 

Connection Pool 最多可以開啓的 connection 數量

prefill

事先將connection pool 裡面建立好min-pool-size 的connection.

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