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  • Under what circumstances does it make sense to run a WCF client and server on the same machine?

    - by Rising Star
    In Learning WCF, by Michele Bustamante, there is a section that describes a binding called the NetNamedPipes binding. The books says that this binding can only be used for WCF services that will be called exclusively from the same machine. Under what circumstances would it make sense to use this? Ordinarily, I would write asynchronous code without using WCF... Why would Microsoft provide something for WCF that can only run on the same machine?

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  • SQL putting two single quotes around datetime fields and fails to insert record

    - by user82613
    I am trying to INSERT into an SQL database table, but it doesn't work. So I used the SQL server profiler to see how it was building the query; what it shows is the following: declare @p1 int set @p1=0 declare @p2 int set @p2=0 declare @p3 int set @p3=1 exec InsertProcedureName @ConsumerMovingDetailID=@p1 output, @UniqueID=@p2 output, @ServiceID=@p3 output, @ProjectID=N'0', @IPAddress=N'66.229.112.168', @FirstName=N'Mike', @LastName=N'P', @Email=N'[email protected]', @PhoneNumber=N'(254)637-1256', @MobilePhone=NULL, @CurrentAddress=N'', @FromZip=N'10005', @MoveInAddress=N'', @ToZip=N'33067', @MovingSize=N'1', @MovingDate=''2009-04-30 00:00:00:000'', /* Problem here ^^^ */ @IsMovingVehicle=0, @IsPackingRequired=0, @IncludeInSaveologyPlanner=1 select @p1, @p2, @p3 As you can see, it puts a double quote two pairs of single quotes around the datetime fields, so that it produces a syntax error in SQL. I wonder if there is anything I must configure somewhere? Any help would be appreciated. Here is the environment details: Visual Studio 2008 .NET 3.5 MS SQL Server 2005 Here is the .NET code I'm using.... //call procedure for results strStoredProcedureName = "usp_SMMoverSearchResult_SELECT"; Database database = DatabaseFactory.CreateDatabase(); DbCommand dbCommand = database.GetStoredProcCommand(strStoredProcedureName); dbCommand.CommandTimeout = DataHelper.CONNECTION_TIMEOUT; database.AddInParameter(dbCommand, "@MovingDetailID", DbType.String, objPropConsumer.ConsumerMovingDetailID); database.AddInParameter(dbCommand, "@FromZip", DbType.String, objPropConsumer.FromZipCode); database.AddInParameter(dbCommand, "@ToZip", DbType.String, objPropConsumer.ToZipCode); database.AddInParameter(dbCommand, "@MovingDate", DbType.DateTime, objPropConsumer.MoveDate); database.AddInParameter(dbCommand, "@PLServiceID", DbType.Int32, objPropConsumer.ServiceID); database.AddInParameter(dbCommand, "@FromAreaCode", DbType.String, pFromAreaCode); database.AddInParameter(dbCommand, "@FromState", DbType.String, pFromState); database.AddInParameter(dbCommand, "@ToAreaCode", DbType.String, pToAreaCode); database.AddInParameter(dbCommand, "@ToState", DbType.String, pToState); DataSet dstSearchResult = new DataSet("MoverSearchResult"); database.LoadDataSet(dbCommand, dstSearchResult, new string[] { "MoverSearchResult" });

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  • Installation problem Ubuntu 12.04 Crashing hardware error

    - by user93640
    I am running on Ubuntu 8.04 for quite some time without many problems. About almost a year ago or so I have been trying to upgrade to 10.04 LTS, but without any success. Each time when trying to upgrade or even newly install the installation process crashed after about an hour or so (I forgot exactly how long). Now I wanted to try Ubuntu 12.04 (not even installing, but I only selected "Try Ubuntu without installing") and I got similar errors. I did not try to install it, because of earlier experience with 10.04 when after I also lost 8.04 and had to install from scratch again (after which it worked). I get the following screen (as I am not allowed to upload photos here the text): 26.767262] [Hardware Error]: CPU 0: Machine Check Exception: 0 Bank 5: b200001804000e0f 26.767279] [Hardware Error]: TSC 0 26.767287] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017924 SOCKET 0 APIC 0 microcode 44 26.767297] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767307] [Hardware Error]: CPU 1: Machine Check Exception: 0 Bank 1: b200000000000175 26.767316] [Hardware Error]: TSC 0 26.767323] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017924 SOCKET 0 APIC 1 microcode 44 26.767331] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767339] [Hardware Error]: CPU 1: Machine Check Exception: 0 Bank 5: b200003000000e0f 26.767348] [Hardware Error]: TSC 0 26.767354] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017924 SOCKET 0 APIC 1 microcode 44 26.767363] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767371] [Hardware Error]: CPU 1: Machine Check Exception: 4 Bank 1: b200000000000175 26.767379] [Hardware Error]: TSC 1bf231e65f 26.767386] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017951 SOCKET 0 APIC 1 microcode 44 26.767395] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767403] [Hardware Error]: CPU 1: Machine Check Exception: 4 Bank 5: b200003008000e0f 26.767413] [Hardware Error]: TSC 1bf231e65f 26.767421] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017951 SOCKET 0 APIC 1 microcode 44 26.767429] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767437] [Hardware Error]: CPU 0: Machine Check Exception: 5 Bank 5: b200001806000e0f 26.767447] [Hardware Error]: RIP |INEXACT| 60:<00000000c1018b5c> {mwait_idle+0x7c/0x1d0} 26.767464] [Hardware Error]: TSC 1bf231e674 26.767471] [Hardware Error]: PROCESSOR 0:6f6 TIME 1349017951 SOCKET 0 APIC 0 microcode 44 26.767480] [Hardware Error]: Run the above through 'mcelog --ascii' 26.767487] [Hardware Error]: Machine check: Processor context corrupt 26.767495] Kernel panic - not syncing: Fatal Machine check 26.767505] Pid: 579, comm: debconf-communi Tainted: G M 3.2.0.29-generic-pae #46-Ubuntu 26.767515] Call Trace: 26.767525] [<c158f812>] ? printk+0x2d/0x2f 26.767534] [<c158f6e0>] panic+0x5c/0x161 26.767542] [<c10247ef>] mce_panic.part.14+0x13f/0x170 26.767551] [<c1024872>] mce_panic+0x52/0x90 26.767558] [<c1024a18>] mce_reign+0x168/0x170 26.767565] [<c1024bb5>] mce_end+0x105/0x110 26.767572] [<c10252db>] do_machine_check+0x32b/0x4f0 26.767581] [<c1024fb0>] ? mce_log+0x120/0x120 26.767590] [<c15a5e47>] error_code+0x67/0x6c 26.767602] panic occurred, switching back to text console 26.768498] Rebooting in 30 seconds.. For information, I have also tried earlier Arch Linux. I can install it, but when I try to install a window manager (LXDE) again I got similar errors. Fedora also crashes when installing and also Mandriva did not work for me. Therefore I think something deep in the machine might be wrong. But as stated above I can (clean) install 8.04 and also 9.10 can be installed without problems. Also updates for 8.04 can be installed. My machine is dual boot with XP next to it on a different partition. My HW: Memory : 2.0 GiB; Processor 0: Intel(R) Core(TM)2 CPU 6320 @ 1.86GHz; Processor 1: Intel(R) Core(TM)2 CPU 6320 @ 1.86GHz; How can I install Ubuntu 12.04? Last option would be to completely format my machine and install everything from scratch, but even I am not sure if that would solve it in the end. Can anybody help me out?

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  • Is there a way to track data structure dependencies from the database, through the tiers, all the way out to a web page?

    - by Sean Mickey
    When we design applications, we generally end up with the same tiered sets of data structures: A persistent data structure that is described using DDL and implemented as RDBMS tables and columns. A set of domain objects that consist primarily of data structures, usually combined with business-rule level logic, that are implemented in a programming language such as Java. A set of service layer interfaces that directly support use case implementations (which use the domain data structures as parameters), implemented as EJBs or something equivalent in another programming language. UI screens that allow users to C reate, R etrieve, U pdate, and (maybe) D elete all manner of data structures and graphs of data structures, with numerous screens and with multiple UI widgets, all structured to support the same data structures. But if you want to change the data structures in any of these tiers, it always seems extremely difficult to assess the impact(s) the change will have across the application. UML can help, but tracing through diagram after diagram is not a real solution to this problem. The best I have ever seen was a homespun data tracking spreadsheet document that listed all of the data structures and walked the relationships from tier-to-tier. Is there a tool or accepted approach that makes it easy to identify a data structure in any tier and easily obtain a list of all dependent: database table and column data structures domain object data structures service layer interface methods and parameter data structures screen & UI component data structures

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  • API Message Localization

    - by Jesse Taber
    In my post, “Keep Localizable Strings Close To Your Users” I talked about the internationalization and localization difficulties that can arise when you sprinkle static localizable strings throughout the different logical layers of an application. The main point of that post is that you should have your localizable strings reside as close to the user-facing modules of your application as possible. For example, if you’re developing an ASP .NET web forms application all of the localizable strings should be kept in .resx files that are associated with the .aspx views of the application. In this post I want to talk about how this same concept can be applied when designing and developing APIs. An API Facilitates Machine-to-Machine Interaction You can typically think about a web, desktop, or mobile application as a collection “views” or “screens” through which users interact with the underlying logic and data. The application can be designed based on the assumption that there will be a human being on the other end of the screen working the controls. You are designing a machine-to-person interaction and the application should be built in a way that facilitates the user’s clear understanding of what is going on. Dates should be be formatted in a way that the user will be familiar with, messages should be presented in the user’s preferred language, etc. When building an API, however, there are no screens and you can’t make assumptions about who or what is on the other end of each call. An API is, by definition, a machine-to-machine interaction. A machine-to-machine interaction should be built in a way that facilitates a clear and unambiguous understanding of what is going on. Dates and numbers should be formatted in predictable and standard ways (e.g. ISO 8601 dates) and messages should be presented in machine-parseable formats. For example, consider an API for a time tracking system that exposes a resource for creating a new time entry. The JSON for creating a new time entry for a user might look like: 1: { 2: "userId": 4532, 3: "startDateUtc": "2012-10-22T14:01:54.98432Z", 4: "endDateUtc": "2012-10-22T11:34:45.29321Z" 5: }   Note how the parameters for start and end date are both expressed as ISO 8601 compliant dates in UTC. Using a date format like this in our API leaves little room for ambiguity. It’s also important to note that using ISO 8601 dates is a much, much saner thing than the \/Date(<milliseconds since epoch>)\/ nonsense that is sometimes used in JSON serialization. Probably the most important thing to note about the JSON snippet above is the fact that the end date comes before the start date! The API should recognize that and disallow the time entry from being created, returning an error to the caller. You might inclined to send a response that looks something like this: 1: { 2: "errors": [ {"message" : "The end date must come after the start date"}] 3: }   While this may seem like an appropriate thing to do there are a few problems with this approach: What if there is a user somewhere on the other end of the API call that doesn’t speak English?  What if the message provided here won’t fit properly within the UI of the application that made the API call? What if the verbiage of the message isn’t consistent with the rest of the application that made the API call? What if there is no user directly on the other end of the API call (e.g. this is a batch job uploading time entries once per night unattended)? The API knows nothing about the context from which the call was made. There are steps you could take to given the API some context (e.g.allow the caller to send along a language code indicating the language that the end user speaks), but that will only get you so far. As the designer of the API you could make some assumptions about how the API will be called, but if we start making assumptions we could very easily make the wrong assumptions. In this situation it’s best to make no assumptions and simply design the API in such a way that the caller has the responsibility to convey error messages in a manner that is appropriate for the context in which the error was raised. You would work around some of these problems by allowing callers to add metadata to each request describing the context from which the call is being made (e.g. accepting a ‘locale’ parameter denoting the desired language), but that will add needless clutter and complexity. It’s better to keep the API simple and push those context-specific concerns down to the caller whenever possible. For our very simple time entry example, this can be done by simply changing our error message response to look like this: 1: { 2: "errors": [ {"code": 100}] 3: }   By changing our error error from exposing a string to a numeric code that is easily parseable by another application, we’ve placed all of the responsibility for conveying the actual meaning of the error message on the caller. It’s best to have the caller be responsible for conveying this meaning because the caller understands the context much better than the API does. Now the caller can see error code 100, know that it means that the end date submitted falls before the start date and take appropriate action. Now all of the problems listed out above are non-issues because the caller can simply translate the error code of ‘100’ into the proper action and message for the current context. The numeric code representation of the error is a much better way to facilitate the machine-to-machine interaction that the API is meant to facilitate. An API Does Have Human Users While APIs should be built for machine-to-machine interaction, people still need to wire these interactions together. As a programmer building a client application that will consume the time entry API I would find it frustrating to have to go dig through the API documentation every time I encounter a new error code (assuming the documentation exists and is accurate). The numeric error code approach hurts the discoverability of the API and makes it painful to integrate with. We can help ease this pain by merging our two approaches: 1: { 2: "errors": [ {"code": 100, "message" : "The end date must come after the start date"}] 3: }   Now we have an easily parseable numeric error code for the machine-to-machine interaction that the API is meant to facilitate and a human-readable message for programmers working with the API. The human-readable message here is not intended to be viewed by end-users of the API and as such is not really a “localizable string” in my opinion. We could opt to expose a locale parameter for all API methods and store translations for all error messages, but that’s a lot of extra effort and overhead that doesn’t add a lot real value to the API. I might be a bit of an “ugly American”, but I think it’s probably fine to have the API return English messages when the target for those messages is a programmer. When resources are limited (which they always are), I’d argue that you’re better off hard-coding these messages in English and putting more effort into building more useful features, improving security, tweaking performance, etc.

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  • SQL SERVER – What is the Maximum Relational Database Size Supported by Single Instance?

    - by Pinal Dave
    I often get asked following question? “How much data SQL Server can handle?” Every single time when I get this question – I ask back following question - “How much data your storage system can handle?” The reason I ask this question back is because in reality for enterprise systems the limitation of storage is no more an issue. The Matter of the fact most of the database is now a days limited by the size of the storage system. SQL Server is enterprise system and it is very mature product. Even though if you still want to know what is the actual limit here is the answer. SQL Server 2008R2, 2012 and 2014 have maximum capacity of 524 PB (Petabyte) in the Enterprise, BI and Standard edition. SQL Server Express has a limitation of 10 GB due to its nature. I guess, now when you look at my question it will make sense that it is all depending on the size of your storage system. I personally believe at this point of time 524 PB is quite a huge data, but we never know after 10 years when we read this blog post, we all may think what was I thinking actually. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Given a database table where multiple rows have the same values and only the most recent record is to be returned

    - by Jim Lahman
    I have a table where there are multiple records with the same value but varying creation dates.  A sample of the database columns is shown here:   1: select lot_num, to_char(creation_dts,'DD-MON-YYYY HH24:MI:SS') as creation_date 2: from coil_setup 3: order by lot_num   LOT_NUM                        CREATION_DATE        ------------------------------ -------------------- 1435718.002                    24-NOV-2010 11:45:54 1440026.002                    17-NOV-2010 06:50:16 1440026.002                    08-NOV-2010 23:28:24 1526564.002                    01-DEC-2010 13:14:04 1526564.002                    08-NOV-2010 22:39:01 1526564.002                    01-NOV-2010 17:04:30 1605920.003                    29-DEC-2010 10:01:24 1945352.003                    14-DEC-2010 01:50:37 1945352.003                    09-DEC-2010 04:44:22 1952718.002                    25-OCT-2010 09:33:19 1953866.002                    20-OCT-2010 18:38:31 1953866.002                    18-OCT-2010 16:15:25   Notice that there are multiple instances of of the same lot number as shown in bold. To only return the most recent instance, issue this SQL statement: 1: select lot_num, to_char(creation_date,'DD-MON-YYYY HH24:MI:SS') as creation_date 2: from 3: ( 4: select rownum r, lot_num, max(creation_dts) as creation_date 5: from coil_setup group by rownum, lot_num 6: order by lot_num 7: ) 8: where r < 100  LOT_NUM                        CREATION_DATE        ------------------------------ -------------------- 2019416.002                    01-JUL-2010 00:01:24 2022336.003                    06-OCT-2010 15:25:01 2067230.002                    01-JUL-2010 00:36:48 2093114.003                    02-JUL-2010 20:10:51 2093982.002                    02-JUL-2010 14:46:11 2093984.002                    02-JUL-2010 14:43:18 2094466.003                    02-JUL-2010 20:04:48 2101074.003                    11-JUL-2010 09:02:16 2103746.002                    02-JUL-2010 15:07:48 2103758.003                    11-JUL-2010 09:02:13 2104636.002                    02-JUL-2010 15:11:25 2106688.003                    02-JUL-2010 13:55:27 2106882.003                    02-JUL-2010 13:48:47 2107258.002                    02-JUL-2010 12:59:48 2109372.003                    02-JUL-2010 20:49:12 2110182.003                    02-JUL-2010 19:59:19 2110184.003                    02-JUL-2010 20:01:03

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  • flat files vs. RDBMS database, few read/writes, few changes

    - by Bob Lapique
    I have to handle data from long term (years, decades) climate monitoring stations. The data flow usually starts with raw data (voltages, etc.) plus quality check information (pressure, temperature, flow rate, etc.) generally recorded @ 1Hz. Then, the data are assigned a quality flag (human and/or program), processed (apply calibration curves) and flagged. So, we basically end up with 2 datasets : raw and processed data. New data are typically added once a day (~500Ko/day/instrument). Simultaneous queries are not likely to ever happen. I wanted to go for a RDBMS (we have a MySQL server) and have some experience in database design, but the IT guy keeps telling me that flat files will to the job just as well. I suspect him to try to make his life easier when it comes to backup/upgrade the MySQL. There are not so many links between data, they don't change much, but the quality flags will change. A RDBMS is easier to compare data from different instruments on a "many days" scale, compared to daily text files. Well, what would you advise ? Thanks.

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  • You may be tempted by IaaS, but you should PaaS on that or your database cloud journey will be a short one

    - by B R Clouse
    Before we examine Consolidation, the next step in the journey to cloud, let's take a short detour to address a critical choice you will face at the outset of your journey: whether to deploy your databases in virtual machines or not. A common misconception we've encountered is the belief that moving to cloud computing can be accomplished by simply hosting one's current operating environment as-is within virtual machines, and then stacking those VMs together in a consolidated environment.  This solution is often described as "Infrastructure as a Service" (IaaS) because the building block for deployments is a VM, which behaves like a full complement of infrastructure.  This approach is easy to understand and may feel like a good first step, but it won't take your databases very far in the journey to cloud computing.  In fact, if you follow the IaaS fork in the road, your journey will end quickly, without realizing the full benefits of cloud computing.  The better option to is to rationalize the deployment stack so that VMs are needed only for exceptional cases.  By settling on a standard operating system and patch level, you create an infrastructure that potentially all of your databases can share.  Now, the building block will be database instances or possibly schemas within databases.  These components are the platforms on which you will deploy workloads, hence this is known as "Platform as a Service" (PaaS). PaaS opens the door to higher degrees of consolidation than IaaS, because with PaaS you will not need to accommodate the footprint (operating system, hypervisor, processes, ...) that each VM brings with it.  You will also reduce your maintenance overheard if you move forward without the VMs and their O/Ses to patch and monitor.  So while IaaS simply shuffles complex and varied environments into VMs,  PaaS actually reduces complexity by rationalizing to the small possible set of components.  Now we're ready to look at the consolidation options that PaaS provides -- in our next blog posting.

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  • Am I missing something about these considerations about Leaderboard's database's schema?

    - by misiMe
    I just finished to develop a mobile game, now I want to implement an online leaerboard using mysql. I'm wondering about the database's schema, I thought about some possibilities: (I didn't got in detail with syntax because my question is just about the logic of it) Name: string; Score: integer I thought to ask the name just the first time. If, in the future, you will modify that, it will call just an update to the name associated with your id. Leaderboard(ID, Name, Score) ID: integer autoincrement, PrimaryKey With this kind of idea maybe the db will grow fast because if you choose everytime a different name for the score, it will add a new entry. Leaderboard(PhoneId, Name, Score) Here PhoneId will be the unique identifier of the phone, PrimaryKey. A con of this choice is that if you want to play with your friends' phone, you can't put a different name for the score. Leaderboard(Name, Score) Here Name is PrimaryKey. With that, if you enter a name that already exists, you will be prompted to choose another one. Do you agree with this considerations? What will you do? Am I missing something?

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  • Do cross reference database tables have a place in domain driven design?

    - by Mike Cellini
    First some background. Let's say we have a system where a customer is placing an order in a web interface. The items that customer is ordering can priced in various ways. Sometimes including the cost of delivery and sometimes not at all. That pricing effectively depends on a variety of factors including the vendor's own pricing model, that vendor's individual contracts with customers as well as that vendor's contracts with its own suppliers. Let's assume that once a customer places an order for a particular item and chooses a contract if any, the method of delivery can be determined by variables on those contracts. Those delivery methods also live in their own table in the database and have various properties consumed downstream. It makes sense that a cross reference or lookup table would store that information. That table would be loaded into the domain and could then be used to apply the appropriate delivery method while processing the order. Does this make sense in the context of domain driven design? Or is my thinking too relational? Is this logic that should be built into it's own class/method (I mean beyond apply the cross reference table data)?

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  • L'homme vs. l'ordinateur : une machine peut-elle faire votre métier ? Dans quelles tâches un PC peut-il remplacer l'humain ?

    L'homme vs. l'ordinateur : une machine peut-elle faire votre métier ? Dans quelles tâches un PC peut-il remplacer l'humain ? Steven Hsu est physicien, et il a énoncé la phrase suivante, à propos des nouveaux admis dans les Universités : "Certains sont moins bons pour prédire les UG GPA qu'un algorithme tout simple". Une constatation cinglante qui réveille la bonne vieille problématique man versus machine. Dans beaucoup de métiers en rapport avec les sciences, la logique ou les chiffres, des travailleurs effectuent des calculs et des opérations qui semblent extrêmement complexes, ne serait-ce -dans une banque- que pour déterminer si une personne peut se voir accorder un prêt. Pourtant, dans c...

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  • How to update correctly an Entity Model after changes of database structure?

    - by Slauma
    I've made some changes in the table structure and especially the relationships between tables in my SQL Server database. Now I want to update my Entity model based on this new database structure. Right clicking on the edmx file I find the option "Update model from database". But when I do this I get kind of a 50% update: The new columns appear in the Entity classes but I am confused about a lot of navigation properties which are still there in the model although the corresponding foreign key relationships do not exist anymore in the database. Am I doing something wrong? Or is there another option to update the model including deletion of navigation properties? Or do I have to delete those navigation properties manually in the model files? I am using Entity Framework Version 1 (VS 2008 SP1). Thanks for help in advance!

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  • How to run a Turnkey Linux virtual machine on XenServer?

    - by Jader Dias
    Turnkey Linux distributes Linux virtual machines in a Xen compatible format. I have a XenServer instance running and I would like to run a recently downloaded Turnkey Linux virtual machine on it. But I have never used XenServer before. Can you point me a tutorial specific for this case, since the manual doens't seem to cover it very well?

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  • Pyramid.security: Is getting user info from a database with unauthenticated_userid(request) really secure?

    - by yourfriendzak
    I'm trying to make an accesible cache of user data using Pyramid doc's "Making A “User Object” Available as a Request Attribute" example. They're using this code to return a user object to set_request_property: from pyramid.security import unauthenticated_userid def get_user(request): # the below line is just an example, use your own method of # accessing a database connection here (this could even be another # request property such as request.db, implemented using this same # pattern). dbconn = request.registry.settings['dbconn'] userid = unauthenticated_userid(request) if userid is not None: # this should return None if the user doesn't exist # in the database return dbconn['users'].query({'id':userid}) I don't understand why they're using unauthenticated_userid(request) to lookup user info from the database...isn't that insecure? That means that user might not be logged in, so why are you using that ID to get there private info from the database? Shouldn't userid = authenticated_userid(request) be used instead to make sure the user is logged in? What's the advantage of using unauthenticated_userid(request)? Please help me understand what's going on here.

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  • Is it possible to use ActiveObjects (or another ORM) with an embedded database & JWS technology ?

    - by phmr
    I would like to embed a database in my JWS application. As a matter of fact I have to use HSQL or SQLite. Hibernate may support (HSQL or SQLite, does it ?) but the workflow is rather complex for my application but maybe it's the way to go for my needs. In ActiveObjects database shoould be "linked" to by a path because of JDBC, but is it possible to specify a database that is inside a JAR and how ?

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