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  • Light-weight client/server DB?

    - by OverTheRainbow
    Hello, (This question falls between programming and finding a tool, so I guess I'll ask here in SO since it has more activity than SuperUser.) I like the simplicity of SQLite, but by design, it doesn't support concurrent access. The apps I write don't have heavy needs, so I'd like to avoid heavier solutions like MySQL that are more difficult to deploy (remote customers with usually no computer personnel). Does someone know of a good solution that would offer the following features? Client available for VB.Net applications The server itself doesn't have to be a .Net application. Actually, I'd rather a bare-metal server so that it can run even on embedded Linux hosts with less RAM/CPU than regular PC's Easy install: the client part should either be statically linked inside the client application or be available as a single DLL, and the server should just be a single EXE listening for queries, à la Fossil (http://www.fossil-scm.org) clients can locate the server on the LAN by broadcasting data picked up by the server, so users don't have to write down the IP address and paste it into each client open-source, or moderately priced closed-source Thank you.

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  • What is best practice with SQLite and Android ?

    - by PHP_Jedi
    What is considered "best practice" when executing queries on a sql-lite db within an android app. Is it safe to run inserts, deletes and select queries from an AsyncTask's doInBackground ? Or should I use the UI Thread ? I suppose that db queries can be "heavy" and should not use the UI thread as it can lock up the app - resulting in an ANR. If I have several AsyncTasks, should they share a connection or should they open a connection each ? Any best practices in this area on android?

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  • Move million records from MEMORY table to MYISAM table.

    - by Prashant
    Hi, I am looking for a fast way to move records from a MEMORY table to MYISAM table. MEMORY table has around 0.5 million records. Both tables have exactly the same structure (same number of columns, data types etc.). But the MYISAM table is indexed (B-TREE) on a few columns. There are around 25 columns most of which are unsigned integers. I have already tried using "INSERT INTO SELECT * FROM " query. But is there any faster way to do this? Appreciate your help. Prashant

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  • Inserting Rows in Relationship using a Strongly Typed DataSet

    - by Manuel Faux
    I'm using ADO.NET with a strongly typed dataset in C# (.NET 3.5). I want to insert a new row to two tables which are related in an 1:n relation. The table Attachments holds the primary key part of the relation and the table LicenseAttachments holds the foreign key part. AttachmentsDataSet.InvoiceRow invoice; // Set to a valid row, also referenced in InvoiceAttachments AttachmentsDataSet.AttachmentsRow attachment; attachment = attachmentsDataSet.Attachments.AddAttachmentsRow("Name", "Description"); attachmentsDataSet.InvoiceAttachments.AddInvoiceAttachmentsRow(invoice, attachment); Of course when I first update the InvoicesAttachments table, I'll get a foreign key violation from the SQL server, so I tried updating the Attachments table first, which will create the rows, but will remove the attachment association in the InvoiceAttachments table. Why? How do I solve this problem?

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  • workbench vs phpmyadmin

    - by ajsie
    i've only used phpmyadmin but then i stumbled upon mysql workbench that looks promising. i wonder if someone has tried it out and could give your thoughts about it compared to phpmyadmin. could it replace phpmyadmin completely? thanks in advance

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  • Postgres update rule returning number of rows affected

    - by Lithium
    I have a view table which is a union of two seperate tables (say Table _A and Table _B). I need to be able to update a row in the view table, and it seems the way to do this was through a 'view rule'. All entries in the view table have seperate id's, so an id that exists in table _A won't exist in table _B. I created the following rule: CREATE OR REPLACE RULE view_update AS ON UPDATE TO viewtable DO INSTEAD ( UPDATE _A SET foo = false WHERE old.id = _A.id; UPDATE _B SET foo = false WHERE old.id = _B.id; ); If I do an update on table _B it returns the correct number of rows affected (1). However if I update table _A it returns (0) rows affected even though the data was changed. If I swap out the order of the updates then the same thing happens, but in reverse. How can I solve this problem so that it returns the correct number of rows affected. Thanks.

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  • Empty data problem - data layer or DAL?

    - by luckyluke
    I designing the new App now and giving the following question a lot of thought. I consume a lot of data from the warehouse, and the entities have a lot of dictionary based values (currency, country, tax-whatever data) - dimensions. I cannot be assured though that there won't be nulls. So I am thinking: create an empty value in each of teh dictionaries with special keyID - ie. -1 do the ETL (ssis) do the correct stuff and insert -1 where it needs to let the DAL know that -1 is special (Static const whatever thing) don't care in the code to check for nullness of dictionary entries because THEY will always have a value But maybe I should be thinking: import data AS IS let the DAL do the thinking using empty record Pattern still don't care in the code because business layer will have what it needs from DAL. I think is more of a approach thing but maybe i am missing something important here... What do You think? Am i clear? Please don't confuse it with empty record problem. I do use emptyCustomer think all the time and other defaults too.

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  • autoincrement in access sql is not working

    - by Thunder
    how can i create a table with autoincrement in access.Here is what i have been doing but not working. CREATE TABLE People_User_Master( Id INTEGER primary key AUTOINCREMENT , Name varchar(50) , LastName varchar(50) , Userid varchar(50) unique , Email varchar(50) , Phone varchar(50) , Pw varchar(50) , fk_Group int , Address varchar(150) )

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  • how to effectively modify index

    - by daedlus
    Hej everyone, problem : I am looking for right way to convert an index from clustered to non-clustered Description : I have a table as below in sybase db: dbo.UserLog Id | UserId |time | .... This is hash partitioned using UserId. Currently it has 2 indexes UserId : non-clustered time: clustered This table has about 20 million records. I now want to make UserId as clustered index and time as non-clustered index. is it correct to user alter index to change from clustered to non-clustered or do i drop index and recreate. does the fact that userId is used in hash partitioning have any implications to this? To me alter seems way to go but I have not yet tried this.

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  • Versioned RDF store

    - by Mat
    Let me try rephrasing this: I am looking for a robust RDF store or library with the following features: Named graphs, or some other form of reification. Version tracking (probably at the named graph level). Privacy between groups of users, either at named graph or triple level. Human-readable data input and output, e.g. TriG parser and serialiser. I've played with Jena, Sesame, Boca, RDFLib, Redland and one or two others some time ago but each had its problems. Have any improved in the above areas recently? Can anything else do what I want, or is RDF not yet ready for prime-time? Reading around the subject a bit more, I've found that: Jena, nothing further Sesame, nothing further Boca does not appear to be maintained any more and seems only really designed for DB2. OpenAnzo, an open-source fork, appears more promising. RDFLib, nothing further Redland, nothing further Talis Platform appears to support changesets (wiki page and reference in Kniblet Tutorial Part 5) but it's a hosted-only service. Still may look into it though. SemVersion sounded promising, but appears to be stale.

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  • does it makes sense to use int instead of char or nvarchar for a discriminator column if I'm using i

    - by Omu
    I have something like this: create table account ( id int identity(1,1) primary key, usertype char(1) check(usertype in ('a', 'b')) not null, unique(id, usertype) ) create table auser ( id int primary key, usertype char(1) check(usertype = 'a') not null, foreign key (id, usertype) references account(id, usertype) ) create table buser ( ... same just with b ) the question is: if I'm going to use int instead of char(1), does it going to work faster/better ?

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  • Problem performance datawarehouse with lots of indexes

    - by Lieven Cardoen
    Our product takes tests of some 350 candidates at the same time. At the end of the test, results for each candidate are moved to a datawarehouse full of indexes on it. For each test there's some 400 records to be entered in datawarehouse. So 400 x 350 is a lot of records. If there are not much records in the datawarehouse, all goes well. But if there are already lots of records in the datawarehouse, then a lot of inserts fail... Is there a way to have indexes that are only rebuild at the end of the day or isn't that the real problem? Or how would you solve this?

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  • Datamapper, defining your own object methods, how?

    - by Dublinclontarf
    So lets say I have a class like below class List include DataMapper::Resource property :id, Serial property :username, String def self.my_username return self[:username] end end list=List.create(:username=>,'jim') list.my_username When I run this it tells me that the method cannot be found, and on more investigation that you can only define class methods(not object methods) and that class methods don't have access to objects data. Is there any way to have these methods included as object methods and get access to object data? I'm using Ruby 1.8.6 and the latest version of datamapper.

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  • Teradata equivalent of persisted computed column (in SQL Server)

    - by Cade Roux
    We have a few tables with persisted computed columns in SQL Server. Is there an equivalent of this in Teradata? And, if so, what is the syntax and are there any limitations? The particular computed columns I am looking at conform some account numbers by removing leading zeros - an index is also created on this conformed account number: ACCT_NUM_std AS ISNULL(CONVERT(varchar(39), SUBSTRING(LTRIM(RTRIM([ACCT_NUM])), PATINDEX('%[^0]%', LTRIM(RTRIM([ACCT_NUM])) + '.' ), LEN(LTRIM(RTRIM([ACCT_NUM]))) ) ), '' ) PERSISTED With the Teradata TRIM function, the trimming part would be a little simpler: ACCT_NUM_std AS COALESCE(CAST(TRIM(LEADING '0' FROM TRIM(BOTH FROM ACCT_NUM))) AS varchar(39)), '' ) I guess I could just make this a normal column and put the code to standardize the account numbers in all the processes which insert into the table. We did this to put the standardization code in one place.

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  • Importing json data into MySQL?

    - by AP257
    Pretty much what the title says :) At the moment I'm using Python to turn the json data into a plain-text tab-separated file, and then mysqlimport to pull that into my MySQL tables. Anyone know a nicer / more direct way?

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  • Berkeley DB java edition, any LGPL or BSD alternatives in Java?

    - by Ali
    Hi All, I am dealing with a huge dataset consisting of key-value pairs. The queries are always in the form of range queries on the key space (keys are numbers) hence any persistent B-Tree like structure will handle the situation. I would like to use BDB-Java Edition but the product is closed source and my company doesn't want to buy BDB-JE License. I am wondering, would you please share your experience with any non-GPL java based key-value storage system. Thanks, -A

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  • How can I speed up queries against tables I cannot add indexes to?

    - by RenderIn
    I access several tables remotely via DB Link. They are very normalized and the data in each is effective-dated. Of the millions of records in each table, only a subset of ~50k are current records. The tables are internally managed by a commercial product that will throw a huge fit if I add indexes or make alterations to its tables in any way. What are my options for speeding up access to these tables?

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  • Why use NoSQL over Materialized Views?

    - by JustinT
    There has been a lot of talk recently about NoSQL. The #1 reason why I hear people use NoSQL is because they start to de-normalize their DBMS data so much so, to increase performance, that they end up with just one table with all of their data within that single table. With Materialized Views however, you can keep your data normalized, yet have it stored as a single table view for the same reasons why you'd use NoSQL. As such, why would someone use NoSQL over Materialized Views?

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  • Best ORM, Simple data Structures, Strong Query analysis.

    - by sayth
    What is the best ORM db combination for simple data structures. That is data that contains names as identifiers and locations, but whose main interaction will be numerical data for times(sports durations), and currency related data. I initially want to create a sports data base that will take names and statistics. Secondarily I plan to start into an investment and stock analysis db. Which ORM suits storing many numerical types and have strong query functions? I really am not biased to db engine (most likely use sqlite or mongo) so any suggestions to best network less db server to suit said ORM appreciated.

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  • SimpleDB to ActiveResource. Rails

    - by Victor P
    Im looking for a way to map an ActiveResource to SimpleDB I want to avoid plugins/gems as all I have used are outdated/buggy/not mantained It doesnt seem hard, I wonder if any of you have succesfully implemented a rails app with simpleDB as an Active Resource. How did you do it? Thanks.

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  • Use the repository pattern when using PLINQO generated data?

    - by Chad
    I'm "upgrading" an MVC app. Previously, the DAL was a part of the Model, as a series of repositories (based on the entity name) using standard LINQ to SQL queries. Now, it's a separate project and is generated using PLINQO. Since PLINQO generates query extensions based on the properties of the entity, I started using them directly in my controller... and eliminated the repositories all together. It's working fine, this is more a question to draw upon your experience, should I continue down this path or should I rebuild the repositories (using PLINQO as the DAL within the repository files)? One benefit of just using the PLINQO generated data context is that when I need DB access, I just make one reference to the the data context. Under the repository pattern, I had to reference each repository when I needed data access, sometimes needing to reference multiple repositories on a single controller. The big benefit I saw on the repositories, were aptly named query methods (i.e. FindAllProductsByCategoryId(int id), etc...). With the PLINQO code, it's _db.Product.ByCatId(int id) - which isn't too bad either. I like both, but where it gets "harrier" is when the query uses predicates. I can roll that up into the repository query method. But on the PLINQO code, it would be something like _db.Product.Where(x = x.CatId == 1 && x.OrderId == 1); I'm not so sure I like having code like that in my controllers. Whats your take on this?

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