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  • How to merge data from two separate access 2007 databases

    - by DiegoMaK
    Hi, I have two identical databases with same structure, database a in computer a and database b in computer b. The data of database a*(a.accdb)* and database b*(b.accdb)* are different. then in database a i have for example ID:1, 2, 3 and in database B i Have ID:4,5,6 Then i need merge these databases data in only one database(a or b, doesn't matter) so the final database looks like. ID:1,2,3,4,5,6 I search an easy way to do this. because i have many tables. and do this by union query is so tedious. I search for example for a backup option for only data without scheme as in postgreSQl or many others RDBMS, but i don't see this options in access 2007. pd:only just table could be have duplicate values(I guess that pk doesn't allow copy a duplicate value and all others values will be copied well). if i wrong please correct me. thanks for your help.

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  • Is it better to comment out unneeded code or delete it?

    - by Matt Connolly
    For web applications under maintenance, assuming you have source control, when you need to remove part of the UI and the associated code, do you delete the code and check in, or do you comment out the old code? Arguments in favor of deleting: cleaner code, can still see deleted code in source control history, no worrying about refactoring code that might be uncommented some day. Arguments in favor of commenting: sometimes you need to add the feature back in and the developer adding it back in may not know to check source control history, sometimes the code represents unique functionality that can be a handy reference, seeing it all in one place can help provide clues to deciphering the active code.

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  • Need to map classes to different databases at runtime in Hibernate

    - by serg555
    I have MainDB database and unknown number (at compile time) of UserDB_1, ..., UserDB_N databases. MainDB contains names of those UserDB databases in some table (new UserDB can be created at runtime). All UserDB have exactly the same table names and fields. How to handle such situation in Hibernate? (database structure cannot be changed). Currently I am planning to create generic User classes not mapped to anything and just use native SQL for all queries: session.createSQLQuery("select * from " + db + ".user where id=1") .setResultTransformer(Transformers.aliasToBean(User.class)); Is there anything better I can do? Ideally I would want to have mappings for UserDB tables and relations and use HQL on required database.

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  • Diff tool that can compare sub-sections of files

    - by EvilPuppetMaster
    I'm looking for a diff tool that will allow me to compare just a sub-section of a file with a section of another file, or even of itself. Preferably eclipse based but will take all suggestions. Yes I know I can copy out the two sections into different files and compare those, but that is very tedious when you are trying to do a large amount of refactoring. Basically I'm trying to remove as much duplicated code as possible from a code base that is suffering from a great deal of ctrl-V 'inheritance' ;-) However the pasted parts have evolved apart a little over time.

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  • Drive space hungry NoSQL's databases

    - by forum_inquisitor
    I've tested NoSQL databases like CouchDB, MongoDB and Cassandra and observed tendence to absorbing very large amount of drive space relative to inserted key-value pairs. When comparing CouchDB and MySQL schemaless databases CouchDB is consuming much more drive space than MySQL. I know about that key-value DBs by default are versioning and have long uuid and need key optimalisation - the comparison was between about 15 mln rows in MySQL and 1-5 mln documents listed NoSQL DB's. My question is : Is there any NoSQL with good compaction / compression of data? So that I can have NoSQL database with a size closer to 5GB than 50GB?

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  • Java: Convenient way to refactor the application.

    - by Harshal
    Hi, Everyone We have an agile enterprise application built on JSP and Servlet without any design strategy. This application was built in early 2002 considering 1000 users. After 2002, we received lots of requests from the marketing partners. Currently, the application has lots of spaghetti code with lots of Ifs and elses. One class has more than 20,000 lines of code with a huge body of functions without abstraction. Now, we need to support billions of records, what we need to do immediately and gradually? We have to refactor the application? Which framework, we need to use? How the usage of the framework will be helpful to the end users? How to convince the leaders to do the refactoring? How to gain the faster response time as compare to the current system?

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  • How many databases to support eCommerce?

    - by Terry Lorber
    I have a system with two databases, one that the customer-facing website uses, the second that is used by the "backroom" order-fulfillment system. I've been asked to run queries from the website to the backroom system. I'd rather not, it seems risky to allow web-based request to run unheeded on the internal system. Additionally, this means opening up routing in the firewall to allow external connections to the internal server. What's the best practice for eCommerce? Run the entire company off of one database? Or individual databases for each system, and middleware to connect them? Sometimes it might be necessary for the web application to pull date from the internal system, but not based on an HTTP request from the internet. I'm sure the best answer is "it depends!" So, if people have a rule of thumb for when to use middleware and when not to, I'd like to here it.

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  • frequently merge changes between branch and trunk?

    - by John
    My team and I are using svn branches for the first time. Before, we use to work only from the trunk. Over the past 2 weeks, we've been refactoring and developing new code against our branch. But during that time, another developer has been making bug fixes to code in the trunk and deploying it to the production server. We would like to frequently "update" our branch with changes from the trunk to make sure we get the latest fixes. But the problem is that we're making drastic changes to our branch, and many files have been renamed. I have a feeling every "update" we do on our branch that takes changes from trunk will cause a conflict, unless we some how get subversion to recognise that fileA.html in trunk is really fileB.html in branch. Am I using subversion branches correctly? Am I using the word "update" correctly? Are frequent "updates" in branch advisable?

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  • Help regarding no sql databases like hadoop, hbase etc

    - by user560370
    I am new to the distributed NoSQL databases like Hadoop, Cassandra, etc. I have few questions for which I seek an expert advice: Can you list problems/challenges one will generally face when making a shift from the present conventional database like MySQL to these large cluster-based databases? What are the difficulties, if any, when one needs to adapt to a newer version of these open source projects? Can you list out the things which are generally stored/kept in memcached for fast rendering of the page? How can I understand the source code of open-source projects so that I can build on it and maybe give back to the community? Above questions may sound to be idiotic and basic but please it's a request for the experts to answer the above questions in detailed and to best of their abilities.

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  • Multiple databases support in Symfony

    - by Ngu Soon Hui
    I am using Propel as my DAL for my Symfony project. I can't seem to get my application to work across two or more databases. Here's my schema.yml: db1: lkp_User: pk_User: { type: integer, required: true, primaryKey: true, autoIncrement: true } UserName: { type: varchar(45), required: true } Password: longvarchar _uniques: Unique: [ UserName ] db2: tesco: Id: { type: integer, required: true, primaryKey: true, autoIncrement: true } Name: { type: varchar(45), required: true } Description: longvarchar And here's the databases.yml: dev: db1: param: classname: DebugPDO test: db1: param: classname: DebugPDO all: db1: class: sfPropelDatabase param: classname: PropelPDO dsn: 'mysql:dbname=bpodb;host=localhost' #where the db is located username: root password: #pass encoding: utf8 persistent: true pooling: true db2: class: sfPropelDatabase param: classname: PropelPDO dsn: 'mysql:dbname=mystore2;host=localhost' #where the db is located username: root password: #pass encoding: utf8 persistent: true pooling: true When I call php symfony propel-build-model, only db1 is generated, db2 is not. Any idea how to fix this problem?

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  • Monitoring Log Shipped Databases

    - by Registered User
    I need a consistent way to monitor databases that are read-only log shipped copies of production databases. In the past I have relied on the following methods: Set the job that restores logs to the database kick off another job as its last step. Set the job that restores logs to the database to insert a record in a control table as its last step. Query the msdb database to check the status of the job that restores logs to the database. Query a control table inside the database itself that gets a value immediately before transaction logs are backed up. Query MAX values from tables inside the database to see if it has recent changes. Although the above methods work, they can't be implemented for every log shipped database that I query for various reasons. What is the best method for monitoring the "data as of" date for a log shipped database?

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  • Refactor: Javascript block

    - by Shpigford
    Need some help refactoring this code: $("span[rel=color_content]").ColorPicker({ onChange: function (hsb, hex, rg) { $("span[rel=color_content]").css('background-color', '#' + hex); } }); $("span[rel=color_link]").ColorPicker({ onChange: function (hsb, hex, rg) { $("span[rel=color_link]").css('background-color', '#' + hex); } }); $("span[rel=color_selected]").ColorPicker({ onChange: function (hsb, hex, rg) { $("span[rel=color_selected]").css('background-color', '#' + hex); } }); $("span[rel=color_page]").ColorPicker({ onChange: function (hsb, hex, rg) { $("span[rel=color_page]").css('background-color', '#' + hex); } }); $("span[rel=color_player]").ColorPicker({ onChange: function (hsb, hex, rg) { $("span[rel=color_player]").css('background-color', '#' + hex); } }); The only thing changing between each is the contents of the rel attribute.

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  • Sharepoint as a replacement for N-Tiers Applications and OLTP Databases

    - by user264892
    All, At my current company, we are looking to replace all ASP.NET Applications and OLTP databases with Sharepoint 2007. Our applications and databases deal with 10,000+ rows, and we have 5,000 + clients actively using the system. Our Implementation of sharepoint would replace all n-tier applications. Does anyone have an experience in implementing this? My current viewpoint is that Sharepoint is not built for or adequate enough to handle this type of application. Can it really replace application with hundreds of pages, and hundreds of tables? Support Data warehousing operations? Support high performance OLTP operations? Provide a robust development environment? Any and all input is greatly appreciated. Thanks S.O. Community.

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  • Some websites to learn about MySQL tables and creating databases (The Do's and Don'ts)

    - by redsoxmaniac
    I am venturing on making a website with a database for baseball games for an intramural league. I have made databases before, but this project seems to have many fields that will require at least 3 tables. I want to make the tables correct, so that I can sort and gather information from multiple fields properly ( such as the team table querying total goals scored ). Is there a website where there is a MySQL tutorial on do's and don'ts for making somewhat complex databases? Not intro tutorials, but more around where you get into combining multiple pieces of information correctly. Any source would be helpful, thanks!

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  • Document-oriented database - What if the document definitions change?

    - by Sebastian Hoitz
    As I understand it, you can enter any non-structured information into a document-oriented database. Let's imagine a document like this: { name: 'John Blank', yearOfBirth: 1960 } Later, in a new version, this structure is refactored to { firstname: 'John', lastname: 'Blank', yearOfBirth: 1960 } How do you do this with Document-Oriented databases? Do you have to prepare merge-scripts, that alter all your entries in the database? Or are there better ways you can handle changes in the structure?

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  • Replace Temp with Query

    - by student
    The Replace Temp with Query refactoring method is recommended quite widely now but seems to be very inefficient for very little gain. The method from the Martin Fowler's site gives the following example: Extract the expression into a method. Replace all references to the temp with the expression. The new method can then be used in other methods. double basePrice = _quantity * _itemPrice; if (basePrice > 1000) return basePrice * 0.95; else return basePrice * 0.98; becomes if (basePrice() > 1000) return basePrice() * 0.95; else return basePrice() * 0.98; double basePrice() { return _quantity * _itemPrice; } Why is this a good idea? surely it means the calculation is needlessly repeated and you have the overhead of calling a function. I know CPU cycles are cheap but throwing them away like this seems careless? Am I missing something?

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  • Staging database good practices

    - by Tom
    Hi, I'm about to deploy to production a fairly complex site and for the first time need a staging environment where I can test things in a more realistic environment, especially with regard to some external services that cannot be run locally. My general plan is to develop & test first locally, push simple changes (small bug fixes, HTML/CSS, JS, etc) direct to production, and for larger changes, push first to staging subdomain for thorough testing and then to production. I don't think that I need to keep the staging and production databases in sync (occasional manual updating would do) but I'm wondering if there are any general good practices with regard to maintaing a staging environment in relation to a production environment, especially when it comes to databases. Any general thoughts/advice/experience would be appreciated.

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  • How do you refactor a large messy codebase?

    - by Ricket
    I have a big mess of code. Admittedly, I wrote it myself - a year ago. It's not well commented but it's not very complicated either, so I can understand it -- just not well enough to know where to start as far as refactoring it. I violated every rule that I have read about over the past year. There are classes with multiple responsibilities, there are indirect accesses (I forget the technical term - something like foo.bar.doSomething()), and like I said it is not well commented. On top of that, it's the beginnings of a game, so the graphics is coupled with the data, or the places where I tried to decouple graphics and data, I made the data public in order for the graphics to be able to access the data it needs... It's a huge mess! Where do I start? How would you start on something like this? My current approach is to take variables and switch them to private and then refactor the pieces that break, but that doesn't seem to be enough. Please suggest other strategies for wading through this mess and turning it into something clean so that I can continue where I left off!

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  • Program structure in long running data processing python script

    - by fmark
    For my current job I am writing some long-running (think hours to days) scripts that do CPU intensive data-processing. The program flow is very simple - it proceeds into the main loop, completes the main loop, saves output and terminates: The basic structure of my programs tends to be like so: <import statements> <constant declarations> <misc function declarations> def main(): for blah in blahs(): <lots of local variables> <lots of tightly coupled computation> for something in somethings(): <lots more local variables> <lots more computation> <etc., etc.> <save results> if __name__ == "__main__": main() This gets unmanageable quickly, so I want to refactor it into something more manageable. I want to make this more maintainable, without sacrificing execution speed. Each chuck of code relies on a large number of variables however, so refactoring parts of the computation out to functions would make parameters list grow out of hand very quickly. Should I put this sort of code into a python class, and change the local variables into class variables? It doesn't make a great deal of sense tp me conceptually to turn the program into a class, as the class would never be reused, and only one instance would ever be created per instance. What is the best practice structure for this kind of program? I am using python but the question is relatively language-agnostic, assuming a modern object-oriented language features.

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  • Compromising design & code quality to integrate with existing modules

    - by filip-fku
    Greetings! I inherited a C#.NET application I have been extending and improving for a while now. Overall it was obviously a rush-job (or whoever wrote it was seemingly less competent than myself). The app pulls some data from an embedded device & displays and manipulates it. At the core is a communications thread in the main application form which executes a 600+ lines of code method which calls functions all over the place, implementing a state machine - lots of if-state-then-do type code. Interaction with the device is done by setting the state/mode globally and letting the thread do it's thing. (This is just one example of the badness of the code - overall it is not very OO-like, it reminds of the style of embedded C code the device firmware is written in). My problem is that this piece of code is central to the application. The software, communications protocol or device firmware are not documented at all. Obviously to carry on with my work I have to interact with this code. What I would like some guidance on, is whether it is worth scrapping this code & trying to piece together something more reasonable from the information I can reverse engineer? I can't decide! The reason I don't want to refactor is because the code already works, and changing it will surely be a long, laborious and unpleasant task. On the flip side, not refactoring means I have to sometimes compromise the design of other modules so that I may call my code from this state machine! I've heard of "If it ain't broke don't fix it!", so I am wondering if it should apply when "it" is influencing the design of future code! Any advice would be appreciated! Thanks!

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  • How to refactor this duplicated LINQ code?

    - by benrick
    I am trying to figure out how to refactor this LINQ code nicely. This code and other similar code repeats within the same file as well as in other files. Sometime the data being manipulated is identical and sometimes the data changes and the logic remains the same. Here is an example of duplicated logic operating on different fields of different objects. public IEnumerable<FooDataItem> GetDataItemsByColor(IEnumerable<BarDto> dtos) { double totalNumber = dtos.Where(x => x.Color != null).Sum(p => p.Number); return from stat in dtos where stat.Color != null group stat by stat.Color into gr orderby gr.Sum(p => p.Number) descending select new FooDataItem { Color = gr.Key, NumberTotal = gr.Sum(p => p.Number), NumberPercentage = gr.Sum(p => p.Number) / totalNumber }; } public IEnumerable<FooDataItem> GetDataItemsByName(IEnumerable<BarDto> dtos) { double totalData = dtos.Where(x => x.Name != null).Sum(v => v.Data); return from stat in dtos where stat.Name != null group stat by stat.Name into gr orderby gr.Sum(v => v.Data) descending select new FooDataItem { Name = gr.Key, DataTotal = gr.Sum(v => v.Data), DataPercentage = gr.Sum(v => v.Data) / totalData }; } Anyone have a good way of refactoring this?

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