ECP

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In one of the projects, when we have ECP with 10 ECP application servers, from time to time we faced the issue when our journals fail to purge, due to open transactions. While we have about 100-150 GB journal files per day, it quite quickly became a big issue, and with mirroring a very big issue. Mostly we just rebooted our ECP Data server, so it searches rollbacks any transactions, but such process is too long, may steal a few hours. I did not find any way, how to get the list of the open transactions from one place from ECP Data Server. We just migrated our Data server to 2018.1.

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Some readers of my previous article, Caché eXTreme for .NET - direct access to globals from C#, wondered if you could access information not just from the same instance in which you’re working, but also from another instance on the same computer, or from an instance located on another computer in the same local network. Some theorized, correctly, that this would be possible using the Enterprise Cache Protocol (ECP). In this article I’m going to show how it can be done.

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During migration from Caché to IRIS I can preview a situation where some instance
have migrated to IRIS while others are still on Caché.
For various reasons this may be in place for some weeks or even months as the big bang isn't feasable.

So far I found a lot of statements related to mixed endinans,
but nothing related to cross operation beween IRIS and Caché.

?? any hints ??
?? any experience ??

 

 

Last answer 11 November 2019 Last comment 11 November 2019
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Suppose we need to store millions of values temporarily, that means, we don't care about them if we lose them but our application use them to get realtime information. Should I use Cachetemp or whatever other DB without journaling enabled? If answer is Cachetemp, shouldn't be a problem if we decide to scale using App Server + ECP? I'm not sure what would happen with the app logic in such architecture as I guess I couldn't map and share cachetemp...

Any idea/suggestion?

Last answer 13 February 2019 Last comment 13 February 2019
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Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.

Last comment 31 January 2018
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Hi all,

I have a database with 140 million records containing financial transactions. When I do a query to calculate the sum of those records spanning a number of months it takes around 4 seconds on my database server which seems reasonable. However if I run the same query on an application server it takes around 40 seconds to do the same query.

In just this instance I would like to run that piece of code on the database server instead of the application server. It's a query that is only run a few times a day so I would prefer to have a fast result and don't mind putting a bit more stress on my database server for that.

Last answer 15 December 2017 Last comment 18 December 2017
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Hello,

 

I have a DB server (ser-app-db) where cache is installed as server.

I have a Web server (ser-app-w) where cache is installed as web server and configured as CSP gateway.

I followed the configuration guide (https://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY...) and ser-app-w perfectly display the CSP and CLS pages.

 

But that's not working for my REST service, for exemple with the REST sample:

Last answer 11 August 2017 Last comment 14 August 2017
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Hello,

 

I try to create an ECP between to CACHE server.

 

The ECP is working, the remote DB is created and the namespace is created and linked on the remote DB.

 

The table appears on the server but when I try to access I get this message:

ERREUR #5540: SQLCODE : Message 400 : Process 4076 failed to compile Cached Query Class %sqlcq.###.cls6 with these errors: ERREUR #5002: Erreur Cache: <COLLATION NOT SUPPORTED>getdependencyclasses+54^%occDepend SQLTEXT: SELECT ...

Last answer 25 July 2017 Last comment 25 July 2017
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One of the great availability and scaling features of Caché is Enterprise Cache Protocol (ECP). With consideration during application development distributed processing using ECP allows a scale out architecture for Caché applications. Application processing can scale to very high rates from a single application server to the processing power of up to 255 application servers with no application changes.

Last comment 8 December 2016
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The technology of load balancing between several servers with relatively low capacity has been a standard feature of Caché for quite a while. It is based on the distributed cache technology called ECP (Enterprise Cache Protocol). ECP provides a host of possibilities for horizontal scaling of an application, and yet keeping the project budget fairly low. Another apparent advantage of ECP network is the possibility to conceal its architecture in the depths of Caché configuration so that applications developed for the traditional (vertical) architecture can be fairly easily migrated to a horizontal ECP environment. The ease of this process is so mesmerizing, that you start wishing it was always this way. For instance, everybody is used to having a possibility to control Caché processes: the $Job system variable and associated classes/functions work magic in skilful hands. Stop, but now processes can end up being on different Caché servers…

This article is about how to gain as much transparency in controlling processes in ECP environment as in traditional (non ECP) one.

Last comment 18 November 2016
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I saw someone recently refer to ECP as magic. It certainly seems so, and there is a lot of very clever engineering to make it work. But the following sequence of diagrams is a simple view of how data is retrieved and used across a distributed architecture.

For more more on ECP including capacity planning follow this link: Data Platforms and Performance - Part 7 ECP for performance, scalability and availability

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Let assume you have a infinitely scaling algorithm implemented in your application, using replication, ECP, or any other means of horizontal scaling, and let assume you know how to run your system under any volume of requests, the trick is to deploy required number of computing nodes in the cluster. If we are talking about cluster of 2-4 nodes your administrator (or as they call it today "devops engineer") will install anything manually. Probably he will easily handle 5 nodes configuration in the cluster.

Last answer 18 June 2016 Last comment 17 June 2016
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