Day 30 - Performace Tests

There's a set of performance tests to do before choosing the final migration infrastructure.

There's tests over the initial data extraction from OS/390 and loading into AS/400.

There's tests over the data transformation rules.

There's tests over the final data loading into GIS.

From this set of tests, only ours, the data transformation rules, have been performed so far.

As expected, AS/400 is not a fast machine to run Data Fusion transformation engine. We already knew this, but AS/400 system administrators always say we're wrong and that they have a fantastic and fast machine. Their pride has been hurt...

As an example, running entirely in AS/400, 400000 source records have migrated at ~800 records per secord. Note that this was a local data migration execution, the source and target databases are on the same machine as the transformation engine.

But running the same transformation engine on my, not very fast, desktop computer with 1GB of RAM, the same 400000 records migrated at ~1400 records per second. Note that on this test the source data was retrieved from AS/400, transformed on my desktop compute, and sent back to AS/400, i.e. the data had to travel over a common 100 Mbit network.

The protocol loading interface was also subject to tests and it's CPU bounded, We have one single processor, of a 4 processor machine, and it consumes 100% of that CPU. When running on AS/400, it perfomed ~12000 records per second. Running on the desktop it does only ~8000 records per second.

The scalability tests on AS/400, with a single CPU for us, proved that a linear execution is faster than a two parallel executions. We haven't had the chance to test parallel execution with more CPUs.

We've been discussing what was the best approach allow us to scale and one thing is for sure, we need to run the transformation engine outside the AS/400, because on the D day we have to share, as it's happening now, the machine with others, specifically with GIS data loading.

Probably we'll have a 6 or 8 CPU machine running Linux and connected to AS/400 over a 1 Gbit network. This will allow us to run multiple transformation engines and free AS/400 for the other data migration processes.

Day 28 - DB2 Problems

We've already used AS/400 and DB2 on previous migrations.

Our experince tell us that they're not very good when it comes use it as the main data migration machine.

There's a set of problems on DB2 that we were afraid to find again on this AS/400 version. This is the latest AS/400 version and, in the words of the system administrator, currently it may be the fastest AS/400 in Portugal.

Our pessimistic expectations proved to be right. DB2 continues to have problems, with seem to be bugs on its engine.

For instance, executing an query works fine, but creating a view over that same quety is impossible because DB2 crashes with an internal error!

I had to create a new table with data from the resulting query.

I stil have not found the "query exploded" problem, which seem related with DB2 optimizer that crashes when trying to optimize the query.

Our confidance on DB2 on AS/400 is a bit low right now, since we proved to be right when we said that we were expecting problems from it.

Day 24 - New Mapping Rules

There was a new meeting for mapping rule definition. Most of the transformation rules are closed, there's just some tweaks related with foreign addresses and some internal codes.

Next week there will be more full migration cycles with fresh data, since we've discovered that the current test data was not correct.

Meanwhile, performance tests are being performed on AS/400 and we were able to convince the system administratos to reconfigure the anti-virus not to read Java .jar files, allowing a better performance on our desktops.

And yesterday, the desktops were automatically updated and rebooted. This policy has also been removed from our desktops, since it is far too dangerous to perform such operations when a data migration is being controled from our desktops.

Day 17 - First Try

The protocol loading interface is ready, it's cool but I did not code it.

And I have the first mappings ready to roll.

We've done a full cycle, with about 85% of the transformation rules implemented, and we got less problems than I expected for the first try. 

Foreign zip codes were wrong, which we were expecting since this mapping specification is still under discussion.

People names were wrongly specified, since the surname was being lost.

The were some empty honoricif titles, since they are also still under specification.

A couple of bytes were on the wrong place on the protocol file.

We've tried it with one hundred records from the source, which resulted in, aproximatly, 2600 records in the protocol file.

The whole process was executed in our desktop computers, since the AS/400 is still not ready for us, the Java 1.5 is missing. Next week I'm expecting to execute the whole process in the AS/400.

Day 14 - First Mapper

I've just set up the Data Fusion IDE and server on my machine. Until we install the server on AS/400, my desktop will have to do the trick. I'm using the JTOpen JDBC driver to connect to AS/400 files via DB2.

In order to create the Data Fusion tables layout automatically, I've set up a simple command line application that connects to AS/400 through the same JTOpen JDBC driver and queries the files/tables metadata, in particular it's structure, the columns name, data type, precision, etc..

I've also implemented some transformation rules to run some tests and everything worked fine.
I'm still waiting for some target specification information from the target team, but I believe that I'll have two mappers ready for some serious testing real soon.

I've also received the production data, which means know I can test my data profiler with real data.

Day 13 - Data Profiler Enhanced

Today the data profiler has received a ranking function, that ranks the profiled data and cuts off data that is considered as discarded.

When data is profiled, a tupple with the term and the context is saved.
The context helps in the evaluation of the term, specially to know if it's a false positive.
The context is also used to cut off data.
It is possible to maintain only terms that have a ranking index, calculated from the term context, equal or higher than a value. Or, it is possible to maintain only terms that differ from the immediately higher rank higher than a giver percentage, i. e., if the current term differs mores than a given percentage from the last term, the current term and all with lower ranks are discarded.

With this enhancements, the data profiler is finished.
Unless there's some special need to profile other data, it is done for now.

Day 9 - Data Profiling

I'm continue to develop the data cleaning function for the honorific titles.
Currently I'm developing a data profiler, a stand alone Java application that queries DB2 via JDBC JTOpen, that has already found some anomalies in the person contact name. There's the expected typos, some ad-hoc markers, and finally, the usual user creativity.

These user creativity anomalies are the funniest of them all. In the person contact name there's random chars, like "USO USSSSS", training data, like "TEST" and totally nonsense person names, like "EXITING NOW", "ALSO EXITING" and "NEW".