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• Querying datetime.datetime on appengine acts different then dev server help!

  - by Alon Carmel

  Hey, I'm having some trouble with stuff that work locally and dont work on the app engine python environment: Basically, i want to get a program from an epg between ranges of date and time. i know i cannot do two where < so i saw a suggestion to save the dates as list as datetime.datetime which i did. [datetime.datetime(2010, 5, 10, 14, 25), datetime.datetime(2010, 5, 10, 15, 0)] This is ok. but when i try to compare to it: progranon = get_object(Programs2Channel, 'channel_id =', channelobj.key(), 'endstartdate >', programstart_minex, 'endstartdate <', programstart_minex ) This for some reason works locally, but fails to retrieve the data on the app engine. *Im using Google app engine django patch which uses the get_object to retrieve data in transactions. Please help. Here are more details: this is the LIST: [datetime.datetime(2010, 5, 13, 10, 45), datetime.datetime(2010, 5, 13, 11, 30)] #this is the query: programstart = ""+year+"-"+month+"-"+day+" "+hour+":"+minute programstart_minex = datetime.strptime(programstart, "%Y-%m-%d %H:%M") progranon = Programs2Channel.gql('WHERE channel_id = :channelid AND endstartdate > :programstartx AND endstartdate < :programstartx',channelid = channelobj.key(),programstartx=programstart_minex).get()

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• Rolling back file moves, folder deletes and mysql queries

  - by Workoholic

  This has been bugging me all day and there is no end in sight. When the user of my php application adds a new update and something goes wrong, I need to be able to undo a complex batch of mixed commands. They can be mysql update and insert queries, file deletes and folder renaming and creations. I can track the status of all insert commands and undo them if an error is thrown. But how do I do this with the update statements? Is there a smart way (some design pattern?) to keep track of such changes both in the file structure and the database? My database tables are MyISAM. It would be easy to just convert everything to InnoDB, so that I can use transactions. That way I would only have to deal with the file and folder operations. Unfortunately, I cannot assume that all clients have InnoDB support. It would also require me to convert many tables in my database to InnoDB, which I am hesitant to do.

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• Return if remote stored procedure fails

  - by njk

  I am in the process of creating a stored procedure. This stored procedure runs local as well as external stored procedures. For simplicity, I'll call the local server [LOCAL] and the remote server [REMOTE]. USE [LOCAL] GO SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[monthlyRollUp] AS SET NOCOUNT, XACT_ABORT ON BEGIN TRY EXEC [REOMTE].[DB].[table].[sp] --This transaction should only begin if the remote procedure does not fail BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp1] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp2] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp3] COMMIT BEGIN TRAN EXEC [LOCAL].[DB].[table].[sp4] COMMIT END TRY BEGIN CATCH -- Insert error into log table INSERT INTO [dbo].[log_table] (stamp, errorNumber, errorSeverity, errorState, errorProcedure, errorLine, errorMessage) SELECT GETDATE(), ERROR_NUMBER(), ERROR_SEVERITY(), ERROR_STATE(), ERROR_PROCEDURE(), ERROR_LINE(), ERROR_MESSAGE() END CATCH GO When using a transaction on the remote procedure, it throws this error: OLE DB provider ... returned message "The partner transaction manager has disabled its support for remote/network transactions.". I get that I'm unable to run a transaction locally for a remote procedure. How can I ensure that the this procedure will exit and rollback if any part of the procedure fails?

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• gen_server with a dict vs mnesia table vs ets

  - by pablo

  Hi, I'm building an erlang server. Users sends http requests to the server to update their status. The http request process on the server saves the user status message in memory. Every minute the server sends all messages to a remote server and clear the memory. If a user update his status several times in a minute, the last message overrides the previous one. It is important that between reading all the messages and clearing them no other process will be able to write a status message. What is the best way to implement it? gen_server with a dict. The key will be the userid. dict:store/3 will update or create the status. The gen_server solves the 'transaction' issue. mnesia table with ram_copies. Handle transactions and I don't need to implement a gen_server. Is there too much overhead with this solution? ETS table which is more light weight and have a gen_server. Is it possible to do the transaction in ETS? To lock the table between reading all the messages and clearing them? Thanks

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• Atomically maintaining a counter using Sub-sonic ActiveRecord

  - by cantabilesoftware

  I'm trying to figure out the correct way to atomically increment a counter in one table and use that incremented value as an pseudo display-only ID for a record in another. What I have is a companies table and a jobs table. I want each company to have it's own set of job_numbers. I do have an auto increment job_id, but those numbers are shared across all companies. ie: the job numbers should generally increment without gaps for each company. ie: companies(company_id, next_job_number) jobs(company_id, job_id, job_number) Currently I'm doing this (as a method on the partial job class): public void SaveJob() { using (var scope = new System.Transactions.TransactionScope()) { if (job_id == 0) { _db.Update<company>() .SetExpression("next_job_number").EqualTo("next_job_number+1") .Where<company>(x => x.company_id == company_id) .Execute(); company c = _db.companies.SingleOrDefault(x => x.company_id == company_id); job_number = c.next_job_number; } // Save the job this.Save(); scope.Complete(); } } It seems to work, but I'm not sure if there are pitfalls here? It just feels wrong, but I'm not sure how else to do it. Any advice appreciated.

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• Have I found a security problem in an API or do I just not understand SSL?

  - by jamieb

  I'm working on building a set of Python bindings around an XML-based API provided by a vendor. The vendor requires that all transactions be conducted over SSL. Using a Linux box, I created a key file and a CSR for my application. Using their self-service web portal, I then generate a certificate using that CSR. Both the key file and the certificate are used when making the SSL request to the API. I'm now working on designing exception classes to make error messages more verbose (and, hopefully, more useful to developers using my bindings). Part of my testing has included altering the key file: transpose a couple characters here, replace 4 or 5 with random characters there, etc. To my surprise, altering the key file had no effect! As long as I didn't change the total length of it, the API didn't complain about a bad key file. The only way I was able to throw an error was by swapping in a completely different key from another application. At that point, the API complained about the Common Name not matching. Is this normal behavior or has the vendor not properly implemented SSL?

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• What arguments to use to explain why a SQL DB is far better then a flat file

  - by jamone

  The higher ups in my company were told by good friends that flat files are the way to go, and we should switch from MS SQL server to them for everything we do. We have over 300 servers and hundreds of different databases. From just the few I'm involved with we have 10 billion records in quite a few of them with upwards of 100k new records a day and who knows how many updates... Me and a couple others need to come up with a response saying why we shouldn't do this. Most of our stuff is ASP.NET with some legacy ASP. We thought that making a simple console app that tests/times the same interactions between a flat file (stored on the network) and SQL over the network doing large inserts, searches, updates etc along with things like network disconnects randomly. This would show them how bad flat files can be espically when you are dealing with millions of records. What things should I use in my response? What should I do with my demo code to illustrate this? My sort list so far: Security Concurent access Performance with large ammounts of data Ammount of time to do such a massive rewrite/switch Lack of transactions PITA to map relational data to flat files I fear that this will be a great post on the Daily WTF someday if I can't stop it now.

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• Working with complex objects in Prevayler commands

  - by alexantd

  The demos included in the Prevayler distribution show how to pass in a couple strings (or something simple like that) into a command constructor in order to create or update an object. The problem is that I have an object called MyObject that has a lot of fields. If I had to pass all of them into the CreateMyObject command manually, it would be a pain. So an alternative I thought of is to pass my business object itself into the command, but to hang onto a clone of it (keeping in mind that I can't store the BO directly in the command). Of course after executing this command, I would need to make sure to dispose of the original copy that I passed in. public class CreateMyObject implements TransactionWithQuery { private MyObject object; public CreateMyObject(MyObject business_obj) { this.object = (MyObject) business_obj.clone(); } public Object executeAndQuery(...) throws Exception { ... } } The Prevayler wiki says: Transactions can't carry direct object references (pointers) to business objects. This has become known as the baptism problem because it's a common beginner pitfall. Direct object references don't work because once a transaction has been serialized to the journal and then deserialized for execution its object references no longer refer to the intended objects - - any objects they may have referred to at first will have been copied by the serialization process! Therefore, a transaction must carry some kind of string or numeric identifiers for any objects it wants to refer to, and it must look up the objects when it is executed. I think by cloning the passed-in object I will be getting around the "direct object pointer" problem, but I still don't know whether or not this is a good idea...

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• EJB and JPA and @OneToMany - Transaction too long?

  - by marioErr

  Hello. I'm using EJB and JPA, and when I try to access PhoneNumber objects in phoneNumbers attribute of Contact contact, it sometimes take several minutes for it to actually return data. It just returns no phoneNumbers, not even null, and then, after some time, when i call it again, it magically appears. This is how I access data: for (Contact c : contactFacade.findAll()) { System.out.print(c.getName()+" "+c.getSurname()+" : "); for (PhoneNumber pn : c.getPhoneNumbers()) { System.out.print(pn.getNumber()+" ("+pn.getDescription()+"); "); } } I'm using facade session ejb generated by netbeans (basic CRUD methods). It always prints correct name and surname, phonenumbers and description are only printed after some time (it varies) from creating it via facade. I'm guessing it has something to do with transactions. How to solve this? These are my JPA entities: contact @Entity public class Contact implements Serializable { private static final long serialVersionUID = 1L; @Id @GeneratedValue(strategy = GenerationType.AUTO) private Long id; private String name; private String surname; @OneToMany(cascade = CascadeType.REMOVE, mappedBy = "contact") private Collection<PhoneNumber> phoneNumbers = new ArrayList<PhoneNumber>(); phonenumber @Entity public class PhoneNumber implements Serializable { private static final long serialVersionUID = 1L; @Id @GeneratedValue(strategy = GenerationType.AUTO) private Long id; private String number; private String description; @ManyToOne() @JoinColumn(name="CONTACT_ID") private Contact contact;

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• Reading/Writing DataTables to and from an OleDb Database LINQ

  - by jsmith

  My current project is to take information from an OleDbDatabase and .CSV files and place it all into a larger OleDbDatabase. I have currently read in all the information I need from both .CSV files, and the OleDbDatabase into DataTables.... Where it is getting hairy is writing all of the information back to another OleDbDatabase. Right now my current method is to do something like this: OleDbTransaction myTransaction = null; try { OleDbConnection conn = new OleDbConnection("PROVIDER=Microsoft.Jet.OLEDB.4.0;" + "Data Source=" + Database); conn.Open(); OleDbCommand command = conn.CreateCommand(); string strSQL; command.Transaction = myTransaction; strSQL = "Insert into TABLE " + "(FirstName, LastName) values ('" + FirstName + "', '" + LastName + "')"; command.CommandType = CommandType.Text; command.CommandText = strSQL; command.ExecuteNonQuery(); conn.close(); catch (Exception) { // IF invalid data is entered, rolls back the database myTransaction.Rollback(); } Of course, this is very basic and I'm using an SQL command to commit my transactions to a connection. My problem is I could do this, but I have about 200 fields that need inserted over several tables. I'm willing to do the leg work if that's the only way to go. But I feel like there is an easier method. Is there anything in LINQ that could help me out with this?

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• Hibernate 3.5.0 causes extreme performance problems

  - by user303396

  I've recently updated from hibernate 3.3.1.GA to hibernate 3.5.0 and I'm having a lot of performance issues. As a test, I added around 8000 entities to my DB (which in turn cause other entities to be saved). These entities are saved in batches of 20 so that the transactions aren't too large for performance reasons. When using hibernate 3.3.1.GA all 8000 entities get saved in about 3 minutes. When using hibernate 3.5.0 it starts out slower than with hibernate 3.3.1. But it gets slower and slower. At around 4,000 entities, it sometimes takes 5 minutes just to save a batch of 20. If I then go to a mysql console and manually type in an insert statement from the mysql general query log, half of them run perfect in 0.00 seconds. And half of them take a long time (maybe 40 seconds) or timeout with "ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction" from MySQL. Has something changed in hibernate's transaction management in version 3.5.0 that I should be aware of? The ONLY thing I changed to experience these unusable performance issues is replace the following hibernate 3.3.1.GA jar files: com.springsource.org.hibernate-3.3.1.GA.jar, com.springsource.org.hibernate.annotations-3.4.0.GA.jar, com.springsource.org.hibernate.annotations.common-3.3.0.ga.jar, com.springsource.javassist-3.3.0.ga.jar with the new hibernate 3.5.0 release hibernate3.jar and javassist-3.9.0.GA.jar. Thanks.

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• Disadvantages of MySQL Row Locking

  - by Nyxynyx

  I am using row locking (transactions) in MySQL for creating a job queue. Engine used is InnoDB. SQL Query START TRANSACTION; SELECT * FROM mytable WHERE status IS NULL ORDER BY timestamp DESC LIMIT 1 FOR UPDATE; UPDATE mytable SET status = 1; COMMIT; According to this webpage, The problem with SELECT FOR UPDATE is that it usually creates a single synchronization point for all of the worker processes, and you see a lot of processes waiting for the locks to be released with COMMIT. Question: Does this mean that when the first query is executed, which takes some time to finish the transaction before, when the second similar query occurs before the first transaction is committed, it will have to wait for it to finish before the query is executed? If this is true, then I do not understand why the row locking of a single row (which I assume) will affect the next transaction query that would not require reading that locked row? Additionally, can this problem be solved (and still achieve the effect row locking does for a job queue) by doing a UPDATE instead of the transaction? UPDATE mytable SET status = 1 WHERE status IS NULL ORDER BY timestamp DESC LIMIT 1

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• Messages not forwarded to error queue when exception is thrown in handler (it works on my machine)

  - by darthjit

  e are using NServicebus 4.0.5 with sql server(sql server 2012) as transport. When the handler throws an exception, NSB does not retry or move the message to the error queue. Successful messages make it to the audit queue but the failed/errored ones don't! . Interestingly, all this works on our local machines(windows 7 ,sql server localdb) but not on windows server 2012 (sql server 2012). Here is the config info on the subscriber: <add name="NServiceBus/Transport" connectionString="Data Source=xxx;Initial Catalog=NServiceBus;Integrated Security=SSPI;Enlist=false;" /> <add name="NServiceBus/Persistence" connectionString="Data Source=xxx;Initial Catalog=NServiceBus;Integrated Security=SSPI;Enlist=false;" /> <MessageForwardingInCaseOfFaultConfig ErrorQueue="error" /> <UnicastBusConfig ForwardReceivedMessagesTo="audit"> <MessageEndpointMappings> <add Assembly="Services.Section.Messages" Endpoint= "Services.ACL.Worker" /> </MessageEndpointMappings> </UnicastBusConfig> And in code it is configured as follows: public class EndpointConfig : IConfigureThisEndpoint, AsA_Server, IWantCustomInitialization { public void Init() { IContainer container = ContainerInstanceProvider. GetContainerInstance(); Configure .Transactions.Enable(); Configure.With() .AutofacBuilder(container) .UseTransport<SqlServer>() .Log4Net() //.Serialization.Json() .UseNHibernateSubscriptionPersister() .UseNHibernateTimeoutPersister() .MessageForwardingInCaseOfFault() .RijndaelEncryptionService() .DefiningCommandsAs(type => type.Namespace != null &&type .Namespace.EndsWith("Commands")) .DefiningEventsAs(type => type.Namespace != null &&type .Namespace.EndsWith("Events")) .UnicastBus(); } } Any ideas on how to fix this? here is the log info (there is a lot there, search for error to see the relevant parts) https://gist.github.com/ranji/7378249

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• What arguments to use to explain why SQL Server is far better then a flat file

  - by jamone

  The higher ups in my company were told by good friends that flat files are the way to go, and we should switch from SQL Server to them for everything we do. We have over 300 servers and hundreds of different databases. From just the few I'm involved with we have 10 billion records in quite a few of them with upwards of 100k new records a day and who knows how many updates... Me and a couple others need to come up with a response saying why we shouldn't do this. Most of our stuff is ASP.NET with some legacy ASP. We thought that making a simple console app that tests/times the same interactions between a flat file (stored on the network) and SQL over the network doing large inserts, searches, updates etc along with things like network disconnects randomly. This would show them how bad flat files can be especially when you are dealing with millions of records. What things should I use in my response? What should I do with my demo code to illustrate this? My sort list so far: Security Concurrent access Performance with large amounts of data Amount of time to do such a massive rewrite/switch Lack of transactions PITA to map relational data to flat files NTFS doesn't support tons of files in a directory well I fear that this will be a great post on the Daily WTF someday if I can't stop it now.

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• SQL Server becomes slow after restart

  - by Tobi DM

  We use SQL Server 2005 on an Windwos Server 2008. Ther Server has 48 GB RAM. SQL Server is configured to use 40 GB RAM. There is only one database hosted (About 70 GB). The only app beside SQL Server is our App-Server which connects the clients to the database. Now we encounter the following problem: After a restart of the server our the performance is great. The server grabs the 40 GB RAM wich it is allowed to and then runs fast as hell. But after about 4 weeks the system becomes slower and slower. The execution of statements (seen in the profiler) is raising slowly. But I cannot see that there is something going wrong on the server. CPU usage is at about 20% I/O also seems to be no Problem The process monitor does also not show that there are strange apps or something like that. Eventlog does also have no interessting messages No open transactions or blockings to see We tried already the following things without effect: Droped the cache by using the statements DBCC FreeProcCache DBCC FREESYSTEMCACHE('ALL') DBCC DropCleanbuffers Restarted the Appserver we are using. Restart the sql server service But nothing did help exept restarting the whole server. Any ideas?

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• jstl code issue

  - by theJava

  <%@ page language="java" contentType="text/html; charset=ISO-8859-1" pageEncoding="ISO-8859-1"%> <%@ taglib uri="http://www.springframework.org/tags/form" prefix="form"%> <%@ taglib uri="http://java.sun.com/jsp/jstl/core" prefix="c"%> <%@ taglib uri="http://java.sun.com/jsp/jstl/functions" prefix="fn"%> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"> <style type="text/css"> .even { background-color: silver; } </style> <title>Registration Page</title> </head> <body> <form:form action="add.htm" commandName="user"> <table> <tr> <td>User Name :</td> <td><form:input path="name" /></td> </tr> <tr> <td>Password :</td> <td><form:password path="password" /></td> </tr> <tr> <td>Gender :</td> <td><form:radiobutton path="gender" value="M" label="M" /> <form:radiobutton path="gender" value="F" label="F" /></td> </tr> <tr> <td>Country :</td> <td><form:select path="country"> <form:option value="0" label="Select" /> <form:option value="India" label="India" /> <form:option value="USA" label="USA" /> <form:option value="UK" label="UK" /> </form:select></td> </tr> <tr> <td>About you :</td> <td><form:textarea path="aboutYou" /></td> </tr> <tr> <td>Community :</td> <td><form:checkbox path="community" value="Spring" label="Spring" /> <form:checkbox path="community" value="Hibernate" label="Hibernate" /> <form:checkbox path="community" value="Struts" label="Struts" /></td> </tr> <tr> <td></td> <td><form:checkbox path="mailingList" label="Would you like to join our mailinglist?" /></td> </tr> <tr> <td colspan="2"><input type="submit" value="Register"></td> </tr> </table> </form:form> <c:if test="${fn:length(userList) > 0}"> <table cellpadding="5"> <tr class="even"> <th>Name</th> <th>Gender</th> <th>Country</th> <th>About You</th> </tr> <c:forEach items="${userList}" var="user" varStatus="status"> <tr class="<c:if test="${status.count % 2 == 0}">even</c:if>"> <td>${user.name}</td> <td>${user.gender}</td> <td>${user.country}</td> <td>${user.aboutYou}</td> </tr> </c:forEach> </table> </c:if> </body> </html> When i execute my jsp page, this piece of code does not show up at all. The full source code is below. <c:if test="${fn:length(userList) > 0}"> <table cellpadding="5"> <tr class="even"> <th>Name</th> <th>Gender</th> <th>Country</th> <th>About You</th> </tr> <c:forEach items="${userList}" var="user" varStatus="status"> <tr class="<c:if test="${status.count % 2 == 0}">even</c:if>"> <td>${user.name}</td> <td>${user.gender}</td> <td>${user.country}</td> <td>${user.aboutYou}</td> </tr> </c:forEach> </table> </c:if>

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• Using NULLs in matchup table

  - by TomWilsonFL

  I am working on the accounting portion of a reservation system (think limo company). In the system there are multiple objects that can either be paid or submit a payment. I am tracking all of these "transactions" in three tables called: tx, tx_cc, and tx_ch. tx generates a new tx_id (for transaction ID) and keeps the information about amount, validity, etc. Tx_cc and tx_ch keep the information about the credit card or check used, respectively, which link to other tables (credit_card and bank_account among others). This seems fairly normalized to me, no? Now here is my problem: The payment transaction can take place for a myriad of reasons. Either a reservation is being paid for, a travel agent that booked a reservation is being paid, a driver is being paid, etc. This results in multiple tables, one for each of the entities: agent_tx, driver_tx, reservation_tx, etc. They look like this: CREATE TABLE IF NOT EXISTS `driver_tx` ( `tx_id` int(10) unsigned zerofill NOT NULL, `driver_id` int(11) NOT NULL, `reservation_id` int(11) default NULL, `reservation_item_id` int(11) default NULL, PRIMARY KEY (`tx_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; Now this transaction is for a driver, but could be applied to an individual item on the reservation or the entire reservation overall. Therefore I demand either reservation_id OR reservation_item_id to be null. In the future there may be other things which a driver is paid for, which I would also add to this table, defaulting to null. What is the rule on this? Opinion? Obviously I could break this out into MANY three column tables, but the amount of OUTER JOINing needed seems outrageous. Your input is appreciated. Peace, Tom

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• Creating a function in Postgresql that does not return composite values

  - by celenius

  I'm learning how to write functions in Postgresql. I've defined a function called _tmp_myfunction() which takes in an id and returns a table (I also define a table object type called _tmp_mytable) -- create object type to be returned CREATE TYPE _tmp_mytable AS ( id integer, cost double precision ); -- create function which returns query CREATE OR REPLACE FUNCTION _tmp_myfunction( id integer ) RETURNS SETOF _tmp_mytable AS $$ BEGIN RETURN QUERY SELECT id, cost FROM sales WHERE id = sales.id; END; $$ LANGUAGE plpgsql; This works fine when I use one id and call it using the following approach: SELECT * FROM _tmp_myfunction(402); What I would like to be able to do is to call it, but to use a column of values instead of just one value. However, if I use the following approach I end up with all values of the table in one column, separated by commas: -- call function using all values in a column SELECT _tmp_myfunction(t.id) FROM transactions as t; I understand that I can get the same result if I use SELECT _tmp_myfunction(402); instead of SELECT * FROM _tmp_myfunction(402); but I don't know how to construct my query in such a way that I can separate out the results.

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• sqlite3 'database is locked' won't go away with retries

  - by Azarias

  I have a sqlite3 database that is accessed by a few threads (3-4). I am aware of the general limitations of sqlite3 with regards to concurrency as stated http://www.sqlite.org/faq.html#q6 , but I am convinced that is not the problem. All of the threads both read and write from this database. Whenever I do a write, I have the following construct: try: Cursor.execute(q, params) Connection.commit() except sqlite3.IntegrityError: Notify except sqlite3.OperationalError: print sys.exc_info() print("DATABASE LOCKED; sleeping for 3 seconds and trying again") time.sleep(3) Retry On some runs, I won't even hit this block, but when I do, it never comes out of it (keeps retrying, but I keep getting the 'database is locked' error from exc_info. If I understand the reader/writer lock usage correctly, some amount of waiting should help with the contention. What this sounds like is deadlock, but I do not use any transactions in my code, and every SELECT or INSERT is simply a one off. Some threads, however, keep the same connection when they do their operation (which includes a mix of SELECTS and INSERTS and other modifiers). I would appericiate it if you could shade a light on this, and also ways around fixing it (besides using a different database engine.)

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• treeview dynamically populated

  - by Laziale

  Hello everyone - I have this treeview control where I want to put uploaded files on the server. I want to be able to create the nodes and the child nodes dynamically from the database. I am using this query for getting the data from DB: SELECT c.Category, d.DocumentName FROM Categories c INNER JOIN DocumentUserFile d ON c.ID = d.CategoryId WHERE d.UserId = '9rge333a-91b5-4521-b3e6-dfb49b45237c' The result from that query is this one: Agendas transactions.pdf Minutes accounts.pdf I want to have the treeview sorted that way too. I am trying with this piece of code: TreeNode tn = new TreeNode(); TreeNode tnSub = new TreeNode(); foreach (DataRow dt in tblTreeView.Rows) { tn.Text = dt[0].ToString(); tn.Value = dt[0].ToString(); tnSub.Text = dt[1].ToString(); tnSub.NavigateUrl = "../downloading.aspx?file=" + dt[1].ToString() +"&user=" + userID; tn.ChildNodes.Add(tnSub); tvDocuments.Nodes.Add(tn); } I am getting the treeview populated nicely for the 1st category and the document under that category, but I can't get it to work when I want to show more documents under that category, or even more complicate to show new category beneath the 1st one with documents from that category. How can I solve this? I appreciate the answers a lot. Thanks, Laziale

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• Filtering a PHP array containing dates into a yearly summary

  - by privateace

  I'm looking at a way to create a summary of transactions within a certain month based on the contents of a PHP array. Intended outcome (excusing layout): ------------------------------------------- | December 2009 | 12 | | January 2010 | 02 | | February 2010 | 47 | | March 2010 | 108 | | April 2010 | 499 | ------------------------------------------- Based on my array: Array ( [0] => Array ( [name] => 2009-10-23 [values] => Array ( [0] => INzY2MTI4ZWM4OGRm ) ) [1] => Array ( [name] => 2009-10-26 [values] => Array ( [0] => IYmIzOWNmMmU3OWQz ) ) [2] => Array ( [name] => 2009-11-23 [values] => Array ( [0] => INTg4YzgxYWU1ODkx [1] => IMjhkNDZkY2FjNDhl ) ) [3] => Array ( [name] => 2009-11-24 [values] => Array ( [0] => INTg4YzgxYWU1ODkx [1] => INTg4YzgxYWU1ODkx ) ) [4] => Array ( [name] => 2009-12-01 [values] => Array ( [0] => IMWFiODk5ZjU1OTFk ) ) I've had absolutely no luck no matter what I've tried. Especially with adding months that do not contain any variables.

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• Intermittent Issue Writing to Google Appengine Datastore

  - by user242153

  Hi, I have a functioning app and recently have had intermittent problems writing to the datastore. I did not make any relevant code changes, however in the last few days my attempts to write to the datastore sometimes work and sometimes don't. I am trying to save an object that is in a many to one relationship with an existing persisted parent. So, the logic works like this: 1) Parent pulled from the datastore 2) Child created / instantiated using constructor 3) Parent.addSingleChild(child); // the "addSingleChild" method just adds the object argument to the collection of children 4) child.setParent(Parent); // sets the Parent object to the parent field I am using transactions as explained in the documentation ending with "finally {if (tx.isActive()) {tx.rollback(); } }" When the servlet is called, the parent is called from the datastore and the child object is created and added to the many to one mapping to the pre-existing parent. The child should automatically be persisted, since the parent is already persistent, and the child is added to the collection of children that map to the parent. And it worked this way in the past. However, to be sure, i did add a pm.makePersistent(child). Doesn't seem to help, still have the intermittent problem. Any suggestions would be appreciated, and if you need to see the actual code I can post. Thanks

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• Client-server synchronization pattern / algorithm?

  - by tm_lv

  I have a feeling that there must be client-server synchronization patterns out there. But i totally failed to google up one. Situation is quite simple - server is the central node, that multiple clients connect to and manipulate same data. Data can be split in atoms, in case of conflict, whatever is on server, has priority (to avoid getting user into conflict solving). Partial synchronization is preferred due to potentially large amounts of data. Are there any patterns / good practices for such situation, or if you don't know of any - what would be your approach? Below is how i now think to solve it: Parallel to data, a modification journal will be held, having all transactions timestamped. When client connects, it receives all changes since last check, in consolidated form (server goes through lists and removes additions that are followed by deletions, merges updates for each atom, etc.). Et voila, we are up to date. Alternative would be keeping modification date for each record, and instead of performing data deletes, just mark them as deleted. Any thoughts?

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• What's the most DRY-appropriate way to execute an SQL command?

  - by Sean U

  I'm looking to figure out the best way to execute a database query using the least amount of boilerplate code. The method suggested in the SqlCommand documentation: private static void ReadOrderData(string connectionString) { string queryString = "SELECT OrderID, CustomerID FROM dbo.Orders;"; using (SqlConnection connection = new SqlConnection(connectionString)) { SqlCommand command = new SqlCommand(queryString, connection); connection.Open(); SqlDataReader reader = command.ExecuteReader(); try { while (reader.Read()) { Console.WriteLine(String.Format("{0}, {1}", reader[0], reader[1])); } } finally { reader.Close(); } } } mostly consists of code that would have to be repeated in every method that interacts with the database. I'm already in the habit of factoring out the establishment of a connection, which would yield code more like the following. (I'm also modifying it so that it returns data, in order to make the example a bit less trivial.) private SQLConnection CreateConnection() { var connection = new SqlConnection(_connectionString); connection.Open(); return connection; } private List<int> ReadOrderData() { using(var connection = CreateConnection()) using(var command = connection.CreateCommand()) { command.CommandText = "SELECT OrderID FROM dbo.Orders;"; using(var reader = command.ExecuteReader()) { var results = new List<int>(); while(reader.Read()) results.Add(reader.GetInt32(0)); return results; } } } That's an improvement, but there's still enough boilerplate to nag at me. Can this be reduced further? In particular, I'd like to do something about the first two lines of the procedure. I don't feel like the method should be in charge of creating the SqlCommand. It's a tiny piece of repetition as it is in the example, but it seems to grow if transactions are being managed manually or timeouts are being altered or anything like that.

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• Logic for rate approximation

  - by Rohan

  I am looking for some logic to solve the below problem. There are n transaction amounts : T1,T2,T3.. Tn. Commission for these transactions are calculated using a rate table provided as below. if amount between 0 and A1 - rate is r1 if amount between A1 and A2 - rate is r2 if amount between A2 and A1 - rate is r3 ... ... if amount greater than An - rate is r4 So if T1 < A1 then rate table returns r1 else if r1 < T1 < r2;it returns r2. So,lets says the rate table results for T1,T2 and T3 are r1,r2 and r3 respectively. Commission C = T1 * r1 + T2 * r2 + T3 * r3 e.g; if rate table is defined(rates are in %) 0 - 2500 - 1 2501 - 5000 - 2 5001 - 10000 - 4 10000 or more- 6 If T1 = 6000,T2 = 3000, T3 = 2000, then C= 6000 * 0.04 + 3000* 0.02 + 2000 * 0.01 = 320 Now my problem is whether we can approximate the commission amount if instead of individual values of T1,T2 and T3 we are provided with T1+T2+T3 (T) In the above example if T (11000) is applied to the rate tablewe would get 6% and which would result in a commision of 600. Is there a way to approximate the commission value given T instead of individual values of T1,T2,T3?

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