Agresso payment creation via acrbatchinput - erp

We're attempting to generate payments in an Agresso 5.5 system. The mechanism we've been told to use is to write new payment data into table acrbatchinput where it will be picked up and processed by a regular job running in agrbibat.dll. We have code that worked on a previous version of Agresso but following the upgrade our payments get rejected by the agrbibat job. Sometimes it generates useful messages in the log, sometimes it doesn't, and working through failures without good information is becoming a bit of a slog.
Is there some documentation we're missing? In particular it would be useful to have a full list of validation rules the job is using so we can implement these ourselves rather than trying to infer them from the log. I can't find any - there's not a lot for acrbatchinput on Google. Does this list or some other documentation exist? Is agribibat something easily decompilable, e.g. .NET?
Thanks. The test system we have is running against Oracle on Solaris with the Agresso jobs hosted on Windows. We have limited access to the Oracle and Agresso systems because (I think!) the same Oracle server is hosting the live payment system, but I could probably talk finance into giving us agrbibat.dll if that might help. We're unlikely to get enough access to their servers to debug it in place.
It turns out that our problem is partly because the new test system we've been given access to wasn't set up correctly, so we might be able to progress this without extra information - we're waiting on the financial team here for input.
However we're still interested in acrbatchinput or agrbibat documentation or information. You've missed the bounty I set but ticks, votes and gratitude still available.

I know this is an ancient old question, but here's my response anyway for anyone else that finds it.
The only documentation is the usual Agresso help files from within the desktop client. Meaningful information is only gleaned through trial and error, however!
The required fields differs depending on whether a given record is a GL, AP/AR or tax transaction. (That much is, at least, explained in the help).
In addition to using the log file, it's often helpful to look at GL07's report output for errors.

Related

System replacement technology

I have some questions that I am hoping someone out there will be able to answer for me.
Our situation is that we are considering a ground up replacement for an existing system. Firstly I will describe the existing system that we have.
We are currently operating on a pure object stack. The enviroment is OO and the database is OO. We currently have 3-4 million lines of code which was developed by 2-3 people, and we currently have a development team of 6, which continues to develop. The initial development started in 1997, and we have many clients installed. The environment is 64-bit, language and database, mulit-lingual, and is UNICODE. The operatiung system we use is Windows (latest versions). We have a number of modules which are delivered via a thin client (not browser), and the bandwidth usage is very low (Operates on 64KB WAN network performance level which is still prevalent in some countries in which we operate, i.e. the infrastructure is poor). Our biggest implementation is for one of the biggest companies in the world, and the target is to deliver the functionality for 30+ countries from one system instance (one physical db) for that client, and deliver the functionality using thin client to all countries from one set of application servers (the application servers are located with the db server and perform all of the processing), the thin client deals with the interactions with the users and the display of the data and collection of the data only. The system is used by 1000s of users, on the thin client. We also have mobile and portal components also, which are developed in C#, they are a small segment of the overall system and connect using APis. There are maybe 1000 mobile application users, with a final number expected to be 5000 mobile users. Within the system there will be 500000-1000000 vendors, with each vendor expected to have at least two transactions every single day.
The DB itself is partitioned, and replicated to a number of locations in real time. The final size of the DB when implementation is complete is expected to be in the 2TB range, and the current system will deal with that, no problem. The way the replication works is that there are mutiple replicated enviroments on hot-standy, i,e. all application servers and API servers are replicated. Our largest client routinely (once per month) performs scheduled windows updates, and when this occurs the primary environments are automatically rolled over to the secondaries, so the system remains available all of the time. In subsequent months, the system is rolled back to the primaries, this transition is very fast, i.e. real time.
At our largest client, the system was installed in 2014, and since that time it has not experienced any outage, except for planned outages because of server maintenace of whateveer in that time period, i.e. it has not crashed or faulted in the first three years of operation. For the purposes of providing updates and enhanced functionality to the target organisation or specifically one of their subsiduries in the countries in which they operate we are able to make changes to the system, via the loading of functional updates on-line. This is a very important component of my question, as for many years we have been able to update at one central location and have the new functionality immeadiately available to all users in all countries whilst they are continuosly using the application. This is without change to any .EXE or .DLL or whatever files that the end user is operating. This is a huge advantage for us currently, as many of the organisations we provide services to do NOT allow any change to EXE or DLL files on end user devices, and there is generally some approval process which takes some days and requires manual intervention by the users to make this process happen.
For further information, we have a support team of 6 providing support services to all of our clients in all of these countries, we operate three shifts of 2 people to provide these services. So this should give you some background to the stability of the system and the level of support we provide. Our service level is described as outstanding. We do have of course SLA agreements in place and we have not violated any SLA term ever.
So, now for my question. What technology would people choose to replace such a system, and how many people would it take to replace ? It has been recommended to me that C# and SQL server be used to replace this, and that it would take a couple of good people a year or two to re-develop from the ground up (we have all of the functional specifications from the last 20 years to work from). However, without having in depth knowledge of this technology stack I am quite concerned about the time period (I think it is very optimistic), I am concerned about the scaleability of the SQL server, and most importantly I am deeply concerned that we will loose this advantage that we have enjoyed that allows us to change the functionality of the current system via updates online without effecting logged on users. I am told that this sort of thing is just not possible in C# and if we have to provide an update to fix a bug, or provide new functionality then all users will have to replace the effected EXE and DLL files, i.e. all of them, 1000s of users would have to do this each and every time we update. This would be done automatically via a process called OneClick, but I am assuming if there is a company policy within our client environment that EXE changes are not allowed, then OneClick will not be viable. I am told if we took a browser approach to the new development then any updates would be server side (which is better), but, would still require an outage to apply updates.
Finally, more information on the online updates that are now possible. Currently all of the systems are replicated for disaster recovery and 100% uptime during update purposes. When we currently update our systems (at one central location) those logical updates are automatically applied at all replicated systems also without user intervention. Another concern that I have is that as well as the problem we face with updating multiple locations with the same update, which it seems is a requirement in C# or so I am being told, we will also have all of the replicated systems to update manually as well. As you can see our support team is small, so I am worried about a future blowout in maintenance resources required to maintain all of this, and then the cost in terms of times fixing mistakes that may creep in with all these additional tasks that may be required to perform the same exercise that we currently do only once.
Finally, a final peice of information on how we currently do updates. If the update is structural in nature, i.e. changes the physical structure of the database, then an outage is required, a full system down outage. When we apply the update the structural change is made, and this is automatically replicated across all secondary (standby enviroments). The users are not effected in terms of the software for the thin client or browsers. They simply log back on after the outage is complete. We currently have a window at a set time, once per month to perform these updates, however, it is rarely required. Once per week, we have a window for functional changes to be applied, and these are appled on line whilst the users are all on line performing their daily and periodic tasks.
So, if anyone out there can give me some insight into what technologies are available for such a system replacement or whether C# and SQL server can provide the necessary services and performance we actually need, i.e. I would be particularly interested to know whether in fact C# applications can be updated in real time, then that would be fantastic. We are obviously in the very early stages of this process in terms of how this should be done, so any information you can provide would be greatly appreciated and will save many hours of research.
Thank you in advance.
From the basic requirements you describe, my first thought is that you should probably adopt a full Web-based solution for your system, that way all updates can be done centrally without too much negative effect on your client access.
But if I understand correctly your question, one aspect you're requiring is to have executable code ready at the client-side (so a pure Web-solution won't work).
In that case, something that can quickly & easily update at the client side is needed.
We've been using the node.js and MongoDB stack for a few years now, there are some quite interesting effects of using pure scripts for your business logic: besides being easy to develop, the scripts themselves, when designed with certain guidelines, can perform "hot reload" on the fly to update your business logic. So this is what I'd recommend trying / looking at.
Efficiency of node.js and the flexibility provided by NoSQL DB such as MongoDB is well described in many places if you do a simple Google search.

Can't figure out what is causing my performance bottleneck in my rails app

My rails app, according to my heroku logs, is serving requests on average of about 1700 to 2500 milliseconds (this is the entire roundtrip). I used new relic to profile my app, and it seems that the majority of the request is not spent in my database but rather in the "Web Transaction" section of New Relic. It seems like the "Controller" category tends to be the slowest among requests, followed by the "SQL - SELECT" segment in the "Database" category.
I'm not quite sure what could be causing my performance bottleneck in my controllers, nor do I think I can dive deeper into new relic without paying for the premium version. I recently added indexes to the foreign keys of my application, although I do not think this made much of a difference in terms of database response times.
I know this is not enough information to figure out what is causing these bottlenecks, but I do not even know where to start or what info to give. If people could tell me what info is needed to diagnose these issues, then that would be helpful to me.
New Relic for Ruby includes a free, standalone developer mode. When running in RAILS_ENV=development, the New Relic gem adds a route that will show you a detailed profile for each request. Go to http://localhost:3000/newrelic after you hit your app a few times.
The profile includes time for each SQL query, as well as for components of your code. You can use custom instrumentation to break down big chunks of code into smaller segments (or individual methods) that get timed separately. This feature is a lot like the transaction traces you get in the paid Pro version, one major difference being that you wouldn't want to run the free dev mode in production.
(Full disclosure: I work for NR. Not many people know about the free dev mode, though, so I thought it was worth mentioning.)
You could potentially make Javascript loading appear even faster with something like head.js, which will load your JS files asynchronously and in parallel.
Take a look at this slide show:
http://www.slideshare.net/drhenner/optimize-the-obvious-7636674
Might not be enough but it goes through some common faults.
Digging a little deaper take a look at this video: http://windycityrails.org/videos2011/#2
It is longer but gives a lot of places to look.
On a different note. Do you use a CDN?

Tools to assist managing the application promotion process in an enterprise environment

I am curious on how others manage code promotion from DEV to TEST to PROD within an enterprise.
What tools or processes do you use to manage the "red tape", entry/exit criteria side of things?
My current organisation is half stuck between some custom online forms type functionality and paper based dependencies to submit documents, gather approvals and reviews.
All this is left in the project managers hands to track what has been submitted, passed review, approved and advise management if there are any roadblocks that may need approval to be "overlooked" before an application can be promoted to the next environment.
A browser based application would be ideal... so whats out there? please show me that you googlefu is better than mine.
It's hard to find one that's good via google. There is a vast array of tools out there for issue management so I'll mention what we use and what we woudl like to use.
We currently use serena products. They have worked well for us in the past. Team Track is our issue management and handles the life cycle of any issue we work on. Version Manager is our source control and has the feature of implementing promotional groups like DEV TEST And PROD. We use DEV, TSTAGE, TEST, PSTAGE and PROD to signify the movement from one to the other, but it's much the same. The two products integrate nicely so that the source associated with the issues is linked, but we have no build process setup in this environment. It's expensive, but it works well.
We are looking ot move to a more common system using Jira for issue management, Subversion for source control, Fisheye to link the two together and Cruise Control for build management. This is less expensive, totaling a few thousand for an enterprise lisence and provides all the same features but with the added bonus of SVN which is a very nice code version mangager.
I hope that helps.
There are a few different scenarios that I've experienced over the years:
Dev -> Test : There is usually a code freeze date that stops work on new features and gets a test environment the code that has been tagged/labelled/archived that gets built. This then gets copied onto the machines and the tests go fine. This is also usually the least detailed of any push.
Test->Prod : This requires the minor change that production has to go down which can mean that a "gone fishing" page goes up or IIS doesn'thave any sites running and the code is copied over again. There are special cases to this where a load balancer can act as a switch so that the promotion happens and none of the customers experience any down time as the ones on the older server will move once their session ends.
To elaborate on that switch idea, the set up is to have 2 potentially live servers with just one server taking requests that the load balancer just sends all the traffic to one machine that can be switched when the other server has the updated code to go live.
There can also be a staging environment which is between test and production where the process is similar in terms of there is a set date when the promotion happens.
Where I used to work there would be merge days where a developer spent most of a day in Perforce merging code so that it could be promoted from one environment to another.
Now there are a couple of cases where this isn't used:
"Hotfixes" or "Hot patches" would occur where I used to work and in this case the specific files were copied up into the staging and production environments on its own since the code change had to get into Production ASAP since something broke in production or some new thing that had to get done that takes 2 minutes gets done. In this case, the code change getting pushed in had to be reviewed and approved before going out.
Those are the different approaches I've seen used where generally there are schedules and timelines potentially have to be changed or additional resources brought in to make a hard date like if a conference is on a particular weekend that such and such is ready for that.
Of course in a few places there has been the, "Oh, was that broken? Let me see..." and a few minutes later, "No, see it isn't broken for me," where someone changed things without asking permission or anything where a company still has what they call "cowboy programming."
Another point is the scale of the release:
1) Tiny - This is the case where one web page goes up so that user X can do Y.
2) Small - A handful or so of files that isn't really complicated but isn't exactly trivial.
3) Medium - Where going from one environment to another requires changing a bunch of files and usually has scripts to move.
4) Big - Where there are scheduled promotions and various developers are asked for who is taking which shifts when the live push is done. I had this in a case where there was a data migration to do in addition to a release of some new e-commerce sites.
5) Mammoth - Where everything is brand new including how this would be used. I don't think I've ever seen one of this size but I'd imagine Microsoft or Google would have releases of this size.
Somewhere in that spectrum most releases fall and so how much planning and preparation can vary quite a bit and let's not forget that regulatory compliance can be its own pain in getting some things done.

Using MSTest as site/environment monitoring tool

We currently use Hp SiteScope for monitoring synthetic transactions across some of our web apps. This works pretty well except for the licensing cost for each synthetic transaction makes it prohibitive to ensure adequate coverage across our applications.
So, an alternative would be to use SiteScope's URL monitoring which can basically call a URL and then provide some basic checks for the certain strings. With that approach, I'd like to create a page that either calls a bunch of pages or try to tap into a MSTest group somehow to run tests.
In the end, I'd like a set of test cases that can be used against multiple environments to be used for production verification, uptime, status, etc.
Thanks,
Matt
Have you taken a look at System Center Operations Manager 2007?
I'm just getting started, but it appears to do what you are describing in your question.
We are looking to monitoring our data center and the a web application...from the few things I have found on the web it is going to fit our need.
Update
I've since moved to Application Insights. A great overview can be found here, https://azure.microsoft.com/en-us/documentation/articles/app-insights-monitor-web-app-availability/
There are two methods one can use, a simple ping, or record a multi-step synthetic user "experience". Basically you act as a user, and using IE and a Visual Studio Web Test project you record navigating around your site and upload that file to Azure.
For example, I record logging in, navigating a few pages, and then logging out. As long as all of those events happen in a timely manner the site is in a good operating state.
If the tests fail, take too long to respond for example, I'll get an email alerting me something isn't exactly right.

Quality Control / Log Monitoring

One of the articles I really enjoyed reading recently was Quality Control by Last.FM. In the spirit of this article, I was wondering if anyone else had favorite monitoring setups for web type applications. Or maybe if you don't believe in Log Monitoring, why?
I'm looking for a mix of opinion slash experience here I guess.
We get a bunch of email/pager alerts from an older host/app/network monitoring environment that get gradually more abusive depending on severity of the problem/time taken to respond. Fortunately we all have thick skins and very broad senses of humour. :)
We use log4net, and normally write both to log files and the database. However, when we've been tracking down a particularly difficult problem, we've enabled the email appender, so that critical log messages went straight to a developer's email account. This allowed us to figure out what was happening more immediately.
In addition, our infrastructure team has several tools they use to monitor system uptime, event logs, etc., to give them early warning when something is about to go down. We've also helped them implement custom monitoring scripts that test specific functionality of our code.

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