Java Application interface with MS Excel through DDE

We have a financial application written in JAVA and have requests from users that want to interface with the application. Meaning, They would like the Java application interface with Excel. For example, if you had a C++ application, you could create a DDE link in Excel that points to the C++ application and receive the data.
How could I do this with a Java Applictaion ? I was told that there was an application written that lets Java interface with Excel.
Any ideas or does anyone know ?

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Database design to support parameterised interface with MS Excel

Hi, I am a novice user of SQL Server and would like some advice on how to solve a problem I have. (I hope I have chosen the correct forum to post this question)
I have created a SQL Server 2012 database that comprises approx 10 base tables, with a further 40+ views that either summarise the base table data in various ways, or build upon other views to create more complex data sets (upto 4 levels of view).
I then use EXCEL to create a dashboard that has multiple pivot table data connections to the various views.
The users can then use standard excel features - slicers etc to interrogate the various metrics.
The underlying database holds a single days worth of information, but I would like to extend this to cover multiple days worth of data, with the excel spreadsheet having a cell that defines the date for which information is to
be retrieved.(The underlying data tables would need to be extended to have a date field)
I can see how the excel connection string can be modified to filter the results such that a column value matches the date field,
but how can this date value be passed down through all the views to ensure that information from base tables is restricted for the specied date, rather than the final results set being passed back to excel - I would rather not have the server resolve the views
for the complete data set.
I considered parameterisation of views, but I dont believe views support parameters, I also considered stored procedures, but I dont believe that stored procedures allow result sets to be used as pseudo tables.
What other options do I have, or have I failed to grasp the way SQL server creates its execution plans and simply having the filter at the top level will ensure the result set is minimised at the lower level? (I dont really want the time taken for the dashboard
refresh to increase - it currently takes approx 45 seconds following SQL Server Engine Tuning Advisor recommendations)
As an example of 3 of the views,
Table A has a row per system event (30,000+ per day), each event having an identity, a TYPE eg Arrival or Departure, with a time of event, and a planned time for the event (a specified identity will have a sequence of Arrival and Departure events)
View A compares seperate rows to determine how long between the Arrival and Departure events for an identity
View B compares seperate rows to determine how long between planned Arrival and Departure events for an identity
View C uses View A and view B to provide the variance between actual and planned
Excel dashboard has graphs showing information retrieved from Views A, B and C. The dashboard is only likely to need to query a single days worth of information.
Thanks for your time.

You are posting in the database design forum but it seems to me that you have 2 separate but highly dependent issues - neither of which is really database design related at this point. Rather you have an user interface issue and an database programmability
issue. Those I cannot really address since much of that discussion requires knowledge of your users, how they interface with the database, what they use the data for, etc. In addition, it seems that Excel is the primary interface for your users
- so it may be that you should post your question to an excel forum.
However, I do have some comments. First, views based on views is generally a bad approach. Absent the intention of indexing (i.e., materializing) the views, the db engine does nothing different for a view than it does for any ad-hoc query.
Unfortunately, the additional layering of logic can impede the effectiveness of the optimizer. The more complex your views become and the deeper the layering, the greater the chance that you befuddle the optimizer.
I would rather not have the server resolve the views for the complete data set
I don't understand the above statement but it scares me. IMO, you DO want the server to do as much work as possible since it is closest to the data and has (or should have) the resources to access and manipulate the data and generate the desired
results. You DON'T want to move all the raw data involved in a query over the network and into the client machine's storage (memory or disk) and then attempt to compute the desired values.
I considered parameterisation of views, but I dont believe views support parameters, I also considered stored procedures, but I dont believe that stored procedures allow result sets to be used as pseudo tables.
Correct on the first point, though there is such a thing as a TVF which is similar in effect. Before you go down that path, let's address the second statement. I don't understand that last bit about "used as pseudo tables" but that sounds more
like an Excel issue (or maybe an assumption). You can execute a stored procedure and use/access the resultset of this procedure in Excel, so I'm not certain what your concern is. User simplicity perhaps? Maybe just a terminology issue? Stored
procedures are something I would highly encourage for a number of reasons. Since you refer to pivoting specifically, I'll point out that sql server natively supports that function (though perhaps not in the same way/degree Excel does). It
is rather complex tsql - and this is one reason to advocate for stored procedures. Separate the structure of the raw data from the user.
(I dont really want the time taken for the dashboard refresh to increase - it currently takes approx 45 seconds following SQL Server Engine Tuning Advisor recommendations)
DTA has its limitations. What it doesn't do is evaluate the "model" - which is where you might have more significant issues. Tuning your queries and indexing your tables will only go so far to compensate for a poorly designed schema (not that
yours is - just a generalization). I did want to point out that your refresh process involves many factors - the time to generate a resultset in the server (including plan compilation, loading the data from disk, etc.), transmitting that data over the
network, receiving and storing the resultset in the client application, manipulating the resultset into the desired form/format), and then updating the display. Given that, you need to know how much time is spent in each part of that process - no sense
wasting time optimizing the smallest time consumer.
So now to your sample table - Table A. First, I'll give you my opinion of a flawed approach. Your table records separate facts about an entity as multiple rows. Such an approach is generally a schema issue for a number of reasons.
It requires that you outer join in some fashion to get all the information about one thing into a single row - that is why you have a view to compare rows and generate a time interval between arrival and departure. I'll take this a step further and assume
that your schema/code likely has an assumption built into it - specifically that a "thing" will have no more than 2 rows and that there will only be one row with type "arrival" and one row with type "departure". Violate that assumption and things begin to
fall apart.  If you have control over this schema, then I suggest you consider changing it. Store all the facts about a single entity in a single row.  Given the frequency that I see this pattern, I'll guess that you
cannot. So let's move on.
30 thousand rows is tiny, so your current volume is negligible. You still need to optimize your tables based on usage, so you need to address that first. How is the data populated currently? Is it done once as a batch?  Is it
done throughout the day - and in what fashion (inserts vs updates vs deletes)? You only store one day of data - so how do you accomplish that specifically?  Do you purge all data overnight and re-populate? What indexes
have you defined? Do all tables have a clustered index or are some (most?) of them heaps?   OTOH, I'm going to guess that the database is at most a minimal issue now and that most of your concerns are better addressed at the user interface
and how it accesses your database. Perhaps now is a good time to step back and reconsider your approach to providing information to the users. Perhaps there is a better solution - but that requires an understanding of your users, the skillset of
everyone involved, what you have to work with, etc. Maybe just some advanced excel training? I can't really say and it might be a better question for a different forum.
One last comment - "identity" has a special meaning in sql server (and most database engines I'm guessing). So when you refer to identity, do you refer to an identity column or the logical identity (i.e., natural key) for the "thing" that Table A is
attempting to model?

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Java Application interface with MS Excel through DDE

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