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  • MS SQL Server BEGIN/END vs BEGIN TRANS/COMMIT/ROLLBACK

    - by Rich
    I have been trying to find info on the web about the differences between these statements, and it seems to me they are identical but I can't find confirmation of that or any kind of comparison between the two. What is the difference between doing this: BEGIN -- Some update, insert, set statements END and doing this BEGIN TRANS -- Some update, insert, set statements COMMIT TRANS ? Note that there is only the need to rollback in the case of some exception or timeout or other general failure, there would not be a conditional reason to rollback.

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  • Automatic e-mail processing

    - by Jon Harrop
    I'd like to write a .NET application in F# to automate some of the processing of my e-mails. For example, when an order comes in my program might compute a new htpasswd from the e-mail's contents, upload it to our web server and reply to the customer with login details. How do people do this? I've tried Outlook 2007 automation but it just prompts the user for security and my attempts to get it to stop doing this have failed so I cannot automate anything with it. Is there a .NET-friendly e-mail client I can use more easily? This has been so tedious that I'm seriously considering writing my own .NET-friendly e-mail client...

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  • Why qry.post executed with asynchronous mode?

    - by Ryan
    Recently I met a strange problem, see code snips as below: var sqlCommand: string; connection: TADOConnection; qry: TADOQuery; begin connection := TADOConnection.Create(nil); try connection.ConnectionString := 'Provider=Microsoft.Jet.OLEDB.4.0;Data Source=Test.MDB;Persist Security Info=False'; connection.Open(); qry := TADOQuery.Create(nil); try qry.Connection := connection; qry.SQL.Text := 'Select * from aaa'; qry.Open; qry.Append; qry.FieldByName('TestField1').AsString := 'test'; qry.Post; beep; finally qry.Free; end; finally connection.Free; end; end; First, Create a new access database named test.mdb and put it under the directory of this test project, we can create a new table named aaa in it which has only one text type field named TestField1. We set a breakpoint at line of "beep", then lunch the test application under ide debug mode, when ide stops at the breakpoint line (qry.post has been executed), at this time we use microsoft access to open test.mdb and open table aaa you will find there are no any changes in table aaa, if you let the ide continue running after pressing f9 you can find a new record is inserted in to table aaa, but if you press ctrl+f2 to terminate the application at the breakpoint, you will find the table aaa has no record been inserted, but in normal circumstance, a new record should be inserted in to the table aaa after qry.post executed. who can explain this problem , it troubles me so long time. thanks !!! BTW, the ide is delphi 2010, and the access mdb file is created by microsoft access 2007 under windows 7

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  • "Undoing deletes" in webapplication?

    - by Industrial
    Hi everybody, I have seen more and more of the websites that offers a undo option after pressing a delete button. How is the logic done behind the button? Is the item deleted by javascript and "dissapears" from the users screen and a scheduled delete added, that gives the user time to undo it or how does it work? What are the other options to offer the users an undo feature?

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  • Why doesn't access database update?

    - by Ryan
    Recently I met a strange problem, see code snips as below: var sqlCommand: string; connection: TADOConnection; qry: TADOQuery; begin connection := TADOConnection.Create(nil); try connection.ConnectionString := 'Provider=Microsoft.Jet.OLEDB.4.0;Data Source=Test.MDB;Persist Security Info=False'; connection.Open(); qry := TADOQuery.Create(nil); try qry.Connection := connection; qry.SQL.Text := 'Select * from aaa'; qry.Open; qry.Append; qry.FieldByName('TestField1').AsString := 'test'; qry.Post; beep; finally qry.Free; end; finally connection.Free; end; end; First, Create a new access database named test.mdb and put it under the directory of this test project, we can create a new table named aaa in it which has only one text type field named TestField1. We set a breakpoint at line of "beep", then lunch the test application under ide debug mode, when ide stops at the breakpoint line (qry.post has been executed), at this time we use microsoft access to open test.mdb and open table aaa you will find there are no any changes in table aaa, if you let the ide continue running after pressing f9 you can find a new record is inserted in to table aaa, but if you press ctrl+f2 to terminate the application at the breakpoint, you will find the table aaa has no record been inserted, but in normal circumstance, a new record should be inserted in to the table aaa after qry.post executed. who can explain this problem , it troubles me so long time. thanks !!! BTW, the ide is delphi 2010, and the access mdb file is created by microsoft access 2007 under windows 7

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  • db2 jdbc driver does not release table locks

    - by as
    situation: We have a web service running on tomcat accessing DB2 database on AS400, we are using JTOPEN drivers for JNDI connections handled by tomcat. For handling transactions and access to database we are using Spring. For each select system takes JDBC connection from JNDI (i.e. from connection pool), does selection, and in the end it closes ResultSet, Statement and releases Connection in that order. That passes fine, shared lock on table dissappears. When we want to do update the same way as we did with select (exception on ResultSet object, we don't have one in such situation), after releasing Connection to JNDI lock on table stays. If we put maxIdle=0 for number of connections in JNDI configuration, this problem disappears, but this degrades performances, we have cca 100 users online on that service, we need few connections to be alive in pool. What do you suggest?

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  • Is it safe to delete rotated MySQL binary logs?

    - by Milan Babuškov
    I have a MySQL server with binary logging active. Once a days logs file is "rotated", i.e. MySQL seems to stop writing to it and creates and new log file. For example, I currently have these files in /var/lib/mysql -rw-rw---- 1 mysql mysql 10485760 Jun 7 09:26 ibdata1 -rw-rw---- 1 mysql mysql 5242880 Jun 7 09:26 ib_logfile0 -rw-rw---- 1 mysql mysql 5242880 Jun 2 15:20 ib_logfile1 -rw-rw---- 1 mysql mysql 1916844 Jun 6 09:20 mybinlog.000004 -rw-rw---- 1 mysql mysql 61112500 Jun 7 09:26 mybinlog.000005 -rw-rw---- 1 mysql mysql 15609789 Jun 7 13:57 mybinlog.000006 -rw-rw---- 1 mysql mysql 54 Jun 7 09:26 mybinlog.index and mybinlog.000006 is growing. Can I simply take mybinlog.000004 and mybinlog.000005, zip them up and transfer to another server, or I need to do something else before? What info is stored in mybinlog.index? Only the info about the latest binary log? UPDATE: I understand I can delete the logs with PURGE BINARY LOGS which updates mybinlog.index file. However, I need to transfer logs to another computer before deleting them (I test if backup is valid on another machine). To reduce the transfer size, I wish to bzip2 the files. What will PURGE BINARY LOGS do if log files are not "there" anymore?

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  • Spring @Transactional Annotation Best Practice

    - by Thomas Einwaller
    We are currently discussing the Best Practice for placing the @Transactional annotations in our code. Do you place the @Transactional in the DAO classes and/or their methods or is it better to annotate the Service classed which are calling using the DAO objects? Or does it make sense to annotate both "layers"?

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  • django multiprocess problem

    - by iKiR
    I have django application, running under lighttpd via fastcgi. FCGI running script looks like: python manage.py runfcgi socket=<path>/main.socket method=prefork \ pidfile=<path>/server.pid \ minspare=5 maxspare=10 maxchildren=10 maxrequests=500 \ I use SQLite. So I have 10 proccess, which all work with the same DB. Next I have 2 views: def view1(request) ... obj = MyModel.objects.get_or_create(id=1) obj.param1 = <some value> obj.save () def view2(request) ... obj = MyModel.objects.get_or_create(id=1) obj.param2 = <some value> obj.save () And If this views are executed in two different threads sometimes I get MyModel instance in DB with id=1 and updated either param1 or param2 (BUT not both) - it depends on which process was the first. (of course in real life id changes, but sometimes 2 processes execute these two views with same id) The question is: What should I do to get instance with updated param1 and param2? I need something for merging changes in different processes. One decision is create interprocess lock object but in this case I will get sequence executing views and they will not be able to be executed simultaneously, so I ask help

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  • How do I delete in Django? (mysql transactions)

    - by alex
    If you are familiar with Django, you know that they have a Authentication system with User model. Of course, I have many other tables that have a Foreign Key to this User model. If I want to delete this user, how do I architect a script (or through mysql itself) to delete every table that is related to this user? My only worry is that I can do this manually...but if I add a table , but I forget to add that table to my DELETE operation...then I have a row that links to a deleted, non-existing User.

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  • SQL Server "Long running transaction" performance counter: why no workee?

    - by Sleepless
    Please explain to me the following observation: I have the following piece of T-SQL code that I run from SSMS: BEGIN TRAN SELECT COUNT (*) FROM m WHERE m.[x] = 123456 or m.[y] IN (SELECT f.x FROM f) SELECT COUNT (*) FROM m WHERE m.[x] = 123456 or m.[y] IN (SELECT f.x FROM f) COMMIT TRAN The query takes about twenty seconds to run. I have no other user queries running on the server. Under these circumstances, I would expect the performance counter "MSSQL$SQLInstanceName:Transactions\Longest Transaction Running Time" to rise constantly up to a value of 20 and then drop rapidly. Instead, it rises to around 12 within two seconds and then oscillates between 12 and 14 for the duration of the query after which it drops again. According to the MS docs, the counter measures "The length of time (in seconds) since the start of the transaction that has been active longer than any other current transaction." But apparently, it doesn't. What gives?

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  • Saving child collections with NHibernate

    - by Ben
    Hi, I am in the process or learning NHibernate so bare with me. I have an Order class and a Transaction class. Order has a one to many association with transaction. The transaction table in my database has a not null constraint on the OrderId foreign key. Order class: public class Order { public virtual Guid Id { get; set; } public virtual DateTime CreatedOn { get; set; } public virtual decimal Total { get; set; } public virtual ICollection<Transaction> Transactions { get; set; } public Order() { Transactions = new HashSet<Transaction>(); } } Order Mapping: <class name="Order" table="Orders"> <cache usage="read-write"/> <id name="Id"> <generator class="guid"/> </id> <property name="CreatedOn" type="datetime"/> <property name="Total" type="decimal"/> <set name="Transactions" table="Transactions" lazy="false" inverse="true"> <key column="OrderId"/> <one-to-many class="Transaction"/> </set> Transaction Class: public class Transaction { public virtual Guid Id { get; set; } public virtual DateTime ExecutedOn { get; set; } public virtual bool Success { get; set; } public virtual Order Order { get; set; } } Transaction Mapping: <class name="Transaction" table="Transactions"> <cache usage="read-write"/> <id name="Id" column="Id" type="Guid"> <generator class="guid"/> </id> <property name="ExecutedOn" type="datetime"/> <property name="Success" type="bool"/> <many-to-one name="Order" class="Order" column="OrderId" not-null="true"/> Really I don't want a bidirectional association. There is no need for my transaction objects to reference their order object directly (I just need to access the transactions of an order). However, I had to add this so that Order.Transactions is persisted to the database: Repository: public void Update(Order entity) { using (ISession session = NHibernateHelper.OpenSession()) { using (ITransaction transaction = session.BeginTransaction()) { session.Update(entity); foreach (var tx in entity.Transactions) { tx.Order = entity; session.SaveOrUpdate(tx); } transaction.Commit(); } } } My problem is that this will then issue an update for every transaction on the order collection (regardless of whether it has changed or not). What I was trying to get around was having to explicitly save the transaction before saving the order and instead just add the transactions to the order and then save the order: public void Can_add_transaction_to_existing_order() { var orderRepo = new OrderRepository(); var order = orderRepo.GetById(new Guid("aa3b5d04-c5c8-4ad9-9b3e-9ce73e488a9f")); Transaction tx = new Transaction(); tx.ExecutedOn = DateTime.Now; tx.Success = true; order.Transactions.Add(tx); orderRepo.Update(order); } Although I have found quite a few articles covering the set up of a one-to-many association, most of these discuss retrieving of data and not persisting back. Many thanks, Ben

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  • Of transactions and Mongo

    - by Nuri Halperin
    Originally posted on: http://geekswithblogs.net/nuri/archive/2014/05/20/of-transactions-and-mongo-again.aspxWhat's the first thing you hear about NoSQL databases? That they lose your data? That there's no transactions? No joins? No hope for "real" applications? Well, you *should* be wondering whether a certain of database is the right one for your job. But if you do so, you should be wondering that about "traditional" databases as well! In the spirit of exploration let's take a look at a common challenge: You are a bank. You have customers with accounts. Customer A wants to pay B. You want to allow that only if A can cover the amount being transferred. Let's looks at the problem without any context of any database engine in mind. What would you do? How would you ensure that the amount transfer is done "properly"? Would you prevent a "transaction" from taking place unless A can cover the amount? There are several options: Prevent any change to A's account while the transfer is taking place. That boils down to locking. Apply the change, and allow A's balance to go below zero. Charge person A some interest on the negative balance. Not friendly, but certainly a choice. Don't do either. Options 1 and 2 are difficult to attain in the NoSQL world. Mongo won't save you headaches here either. Option 3 looks a bit harsh. But here's where this can go: ledger. See, and account doesn't need to be represented by a single row in a table of all accounts with only the current balance on it. More often than not, accounting systems use ledgers. And entries in ledgers - as it turns out – don't actually get updated. Once a ledger entry is written, it is not removed or altered. A transaction is represented by an entry in the ledger stating and amount withdrawn from A's account and an entry in the ledger stating an addition of said amount to B's account. For sake of space-saving, that entry in the ledger can happen using one entry. Think {Timestamp, FromAccountId, ToAccountId, Amount}. The implication of the original question – "how do you enforce non-negative balance rule" then boils down to: Insert entry in ledger Run validation of recent entries Insert reverse entry to roll back transaction if validation failed. What is validation? Sum up the transactions that A's account has (all deposits and debits), and ensure the balance is positive. For sake of efficiency, one can roll up transactions and "close the book" on transactions with a pseudo entry stating balance as of midnight or something. This lets you avoid doing math on the fly on too many transactions. You simply run from the latest "approved balance" marker to date. But that's an optimization, and premature optimizations are the root of (some? most?) evil.. Back to some nagging questions though: "But mongo is only eventually consistent!" Well, yes, kind of. It's not actually true that Mongo has not transactions. It would be more descriptive to say that Mongo's transaction scope is a single document in a single collection. A write to a Mongo document happens completely or not at all. So although it is true that you can't update more than one documents "at the same time" under a "transaction" umbrella as an atomic update, it is NOT true that there' is no isolation. So a competition between two concurrent updates is completely coherent and the writes will be serialized. They will not scribble on the same document at the same time. In our case - in choosing a ledger approach - we're not even trying to "update" a document, we're simply adding a document to a collection. So there goes the "no transaction" issue. Now let's turn our attention to consistency. What you should know about mongo is that at any given moment, only on member of a replica set is writable. This means that the writable instance in a set of replicated instances always has "the truth". There could be a replication lag such that a reader going to one of the replicas still sees "old" state of a collection or document. But in our ledger case, things fall nicely into place: Run your validation against the writable instance. It is guaranteed to have a ledger either with (after) or without (before) the ledger entry got written. No funky states. Again, the ledger writing *adds* a document, so there's no inconsistent document state to be had either way. Next, we might worry about data loss. Here, mongo offers several write-concerns. Write-concern in Mongo is a mode that marshals how uptight you want the db engine to be about actually persisting a document write to disk before it reports to the application that it is "done". The most volatile, is to say you don't care. In that case, mongo would just accept your write command and say back "thanks" with no guarantee of persistence. If the server loses power at the wrong moment, it may have said "ok" but actually no written the data to disk. That's kind of bad. Don't do that with data you care about. It may be good for votes on a pole regarding how cute a furry animal is, but not so good for business. There are several other write-concerns varying from flushing the write to the disk of the writable instance, flushing to disk on several members of the replica set, a majority of the replica set or all of the members of a replica set. The former choice is the quickest, as no network coordination is required besides the main writable instance. The others impose extra network and time cost. Depending on your tolerance for latency and read-lag, you will face a choice of what works for you. It's really important to understand that no data loss occurs once a document is flushed to an instance. The record is on disk at that point. From that point on, backup strategies and disaster recovery are your worry, not loss of power to the writable machine. This scenario is not different from a relational database at that point. Where does this leave us? Oh, yes. Eventual consistency. By now, we ensured that the "source of truth" instance has the correct data, persisted and coherent. But because of lag, the app may have gone to the writable instance, performed the update and then gone to a replica and looked at the ledger there before the transaction replicated. Here are 2 options to deal with this. Similar to write concerns, mongo support read preferences. An app may choose to read only from the writable instance. This is not an awesome choice to make for every ready, because it just burdens the one instance, and doesn't make use of the other read-only servers. But this choice can be made on a query by query basis. So for the app that our person A is using, we can have person A issue the transfer command to B, and then if that same app is going to immediately as "are we there yet?" we'll query that same writable instance. But B and anyone else in the world can just chill and read from the read-only instance. They have no basis to expect that the ledger has just been written to. So as far as they know, the transaction hasn't happened until they see it appear later. We can further relax the demand by creating application UI that reacts to a write command with "thank you, we will post it shortly" instead of "thank you, we just did everything and here's the new balance". This is a very powerful thing. UI design for highly scalable systems can't insist that the all databases be locked just to paint an "all done" on screen. People understand. They were trained by many online businesses already that your placing of an order does not mean that your product is already outside your door waiting (yes, I know, large retailers are working on it... but were' not there yet). The second thing we can do, is add some artificial delay to a transaction's visibility on the ledger. The way that works is simply adding some logic such that the query against the ledger never nets a transaction for customers newer than say 15 minutes and who's validation flag is not set. This buys us time 2 ways: Replication can catch up to all instances by then, and validation rules can run and determine if this transaction should be "negated" with a compensating transaction. In case we do need to "roll back" the transaction, the backend system can place the timestamp of the compensating transaction at the exact same time or 1ms after the original one. Effectively, once A or B visits their ledger, both transactions would be visible and the overall balance "as of now" would reflect no change.  The 2 transactions (attempted/ reverted) would be visible , since we do actually account for the attempt. Hold on a second. There's a hole in the story: what if several transfers from A to some accounts are registered, and 2 independent validators attempt to compute the balance concurrently? Is there a chance that both would conclude non-sufficient-funds even though rolling back transaction 100 would free up enough for transaction 117 (some random later transaction)? Yes. there is that chance. But the integrity of the business rule is not compromised, since the prime rule is don't dispense money you don't have. To minimize or eliminate this scenario, we can also assign a single validation process per origin account. This may seem non-scalable, but it can easily be done as a "sharded" distribution. Say we have 11 validation threads (or processing nodes etc.). We divide the account number space such that each validator is exclusively responsible for a certain range of account numbers. Sounds cunningly similar to Mongo's sharding strategy, doesn't it? Each validator then works in isolation. More capacity needed? Chop the account space into more chunks. So where  are we now with the nagging questions? "No joins": Huh? What are those for? "No transactions": You mean no cross-collection and no cross-document transactions? Granted - but don't always need them either. "No hope for real applications": well... There are more issues and edge cases to slog through, I'm sure. But hopefully this gives you some ideas of how to solve common problems without distributed locking and relational databases. But then again, you can choose relational databases if they suit your problem.

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  • How to automate a monitoring system for ETL runs

    - by Jeffrey McDaniel
    Upon completion of the Primavera ETL process there are a few ways to determine if the process finished successfully.  First, in the <installation directory>\log folder,  there is a staretlprocess.log and staretl.html files. These files will give the output results of the ETL run. The staretl.html file will give a detailed summary of each step of the process, its run time, and its status. The .log file, based on the logging level set in the Configuration tool, can give extensive information about the ETL process. The log file can be used as a validation for process completion.  To automate the monitoring of these log files, perform the following steps: 1. Write a custom application to parse through the log file and search for [ERROR] . In most cases,  a major [ERROR] could cause the ETL process to fail. Searching the log and finding this value is worthy of an alert. 2. Determine the total number of steps in the ETL process, and validate that the log file recorded and entry for the final step.  For example validate that your log file contains an entry for Step 39/39 (could be different based on the version you are running). If there is no Step 39/39, then either the process is taking longer than expected or it didn't make it to the end.  Either way this would be a good cause for an alert. 3. Check the last line in the log file. The last line of the log file should contain an indication that the ETL run completed successfully. For example, the last line of a log file will say (results could be different based on Reporting Database versions):   [INFO] (Message) Finished Writing Report 4. You could write an Ant script to execute the ETL process and have it set to - failonerror="true" - and from there send results to an external tool to monitor the jobs, send to email, or send to database. With each ETL run, the log file appends to the existing log file by default. Because of this behavior, I would recommend renaming the existing log files before running a new ETL process. By doing this,  only log entries for the currently running ETL process is recorded in the new log files. Based on these log entries, alerts can be setup to notify the administrator or DBA. Another way to determine if the ETL process has completed successfully is to monitor the etl_processmaster table.  Depending on the Reporting Database version this could be in the Stage or Star databases. As of Reporting Database 2.2 and higher this would be in the Star database.  The etl_processmaster table records entries for the ETL run along with a Start and Finish time.  If the ETl process has failed the Finish date should be null. This table can be queried at a time when ETL process is expected to be finished and if null send an alert.  These are just some options. There are additional ways this can be accomplished based around these two areas - log files or database. Here is an additional query to gather more information about your ETL run (connect as Staruser): SELECT SYSDATE,test_script,decode(loc, 0, PROCESSNAME, trim(SUBSTR(PROCESSNAME, loc+1))) PROCESSNAME ,duration duration from ( select (e.endtime - b.starttime) * 1440 duration, to_char(b.starttime, 'hh24:mi:ss') starttime, to_char(e.endtime, 'hh24:mi:ss') endtime,  b.PROCESSNAME, instr(b.PROCESSNAME, ']') loc, b.infotype test_script from ( select processid, infodate starttime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'BEGIN' ) b  inner Join ( select processid, infodate endtime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'END' ) e on b.processid = e.processid  and b.PROCESSNAME = e.PROCESSNAME order by b.starttime)

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  • Unable to connect: incorrect log on parameters Crystal report

    - by Brave ali Khatri
    I am using windows 7 ,SQL Server 2000 and VS 2008 / Crystal Report XI. i am getting Below Error when click on GetReport Button. Logon failed. Details: ADO Error Code: 0x Source: Microsoft OLE DB Provider for SQL Server Description: Login failed for user 'sa'. SQL State: 42000 Native Error: Error in File C:\Users\bahadur\AppData\Local\Temp\Total_Sales_Comparision {C4649F80-D1F7-4AED-A4B1-0B8EF83996C6}.rpt: Unable to connect: incorrect log on parameters. Blockquote MY C# Code is below ConnectionInfo crConnectionInfo = new ConnectionInfo(); crConnectionInfo.ServerName = "BRAVEALI-PC"; crConnectionInfo.DatabaseName = "SCM_TEST"; crConnectionInfo.UserID = "sa"; crConnectionInfo.Password = "myDB Password"; ReportDocument report = new ReportDocument(); report.Load(@"D:\Project's\SCM Reports\Total_Sales_Comparision.rpt"); report.SetParameterValue("@invcm_date_from", Convert.ToDateTime (TextBox4.Text)); report.SetParameterValue("@invcm_date_to", Convert .ToDateTime(TextBox5.Text)); CrystalReportViewer1.ReportSource = report; //CrystalReportViewer1.RefreshReport(); Regards Brave Ali

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  • How do I use MediaRecorder to record video without causing a segmentation fault?

    - by rabidsnail
    I'm trying to use android.media.MediaRecorder to record video, and no matter what I do the android runtime segmentation faults when I call prepare(). Here's an example: public void onCreate(Bundle savedInstanceState) { Log.i("video test", "making recorder"); MediaRecorder recorder = new MediaRecorder(); contentResolver = getContentResolver(); try { super.onCreate(savedInstanceState); Log.i("video test", "--------------START----------------"); SurfaceView target_view = new SurfaceView(this); Log.i("video test", "making surface"); Surface target = target_view.getHolder().getSurface(); Log.i("video test", target.toString()); Log.i("video test", "new recorder"); recorder = new MediaRecorder(); Log.i("video test", "set display"); recorder.setPreviewDisplay(target); Log.i("video test", "pushing surface"); setContentView(target_view); Log.i("video test", "set audio source"); recorder.setAudioSource(MediaRecorder.AudioSource.MIC); Log.i("video test", "set video source"); recorder.setVideoSource(MediaRecorder.VideoSource.DEFAULT); Log.i("video test", "set output format"); recorder.setOutputFormat(MediaRecorder.OutputFormat.THREE_GPP); Log.i("video test", "set audio encoder"); recorder.setAudioEncoder(MediaRecorder.AudioEncoder.AMR_NB); Log.i("video test", "set video encoder"); recorder.setVideoEncoder(MediaRecorder.VideoEncoder.MPEG_4_SP); Log.i("video test", "set max duration"); recorder.setMaxDuration(3600); Log.i("video test", "set on info listener"); recorder.setOnInfoListener(new listener()); Log.i("video test", "set video size"); recorder.setVideoSize(320, 240); Log.i("video test", "set video frame rate"); recorder.setVideoFrameRate(15); Log.i("video test", "set output file"); recorder.setOutputFile(get_path(this, "foo.3gp")); Log.i("video test", "prepare"); recorder.prepare(); Log.i("video test", "start"); recorder.start(); Log.i("video test", "sleep"); Thread.sleep(3600); Log.i("video test", "stop"); recorder.stop(); Log.i("video test", "release"); recorder.release(); Log.i("video test", "-----------------SUCCESS------------------"); finish(); } catch (Exception e) { Log.i("video test", e.toString()); recorder.reset(); recorder.release(); Log.i("video tets", "-------------------FAIL-------------------"); finish(); } } public static String get_path (Context context, String fname) { String path = context.getFileStreamPath("foo").getParentFile().getAbsolutePath(); String res = path+"/"+fname; Log.i("video test", "path: "+res); return res; } class listener implements MediaRecorder.OnInfoListener { public void onInfo(MediaRecorder recorder, int what, int extra) { Log.i("video test", "Video Info: "+what+", "+extra); } }

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  • locate the crash code from the crash log in my ip4 device

    - by lu yuan
    How could I locate the crash code from the crash log in my ip4 device? As the crashed thread 0 presents a serial frameworks and main.m, I couldn't locate the accurate code launched this crash and debug it. Any suggestion? Thanks in advance! Incident Identifier: B6BD84B7-CE0A-485D-A877-0FD0F5B75933 CrashReporter Key: b0b97a37f2a1e4911ce2ef34e1793e028463bb67 Hardware Model: iPhone3,1 Process: myApp [11615] Path: /var/mobile/Applications/28AE71F2-36CA-4A87-83D9-07DF2DFE74F1/myApp.app/myApp Identifier: myApp Version: ??? (???) Code Type: ARM (Native) Parent Process: launchd [1] Date/Time: 2012-06-09 21:12:22.792 +0800 OS Version: iPhone OS 5.1 (9B176) Report Version: 104 Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0x0000000b Crashed Thread: 0 Thread 0 name: Dispatch queue: com.apple.main-thread Thread 0 Crashed: 0 libobjc.A.dylib 0x36721f78 0x3671e000 + 16248 1 MapKit 0x34e7ace6 0x34e68000 + 77030 2 CoreFoundation 0x3525f1f4 0x35247000 + 98804 3 Foundation 0x311b6740 0x31112000 + 673600 4 CoreFoundation 0x352d4acc 0x35247000 + 580300 5 CoreFoundation 0x352d4298 0x35247000 + 578200 6 CoreFoundation 0x352d303e 0x35247000 + 573502 7 CoreFoundation 0x3525649e 0x35247000 + 62622 8 CoreFoundation 0x35256366 0x35247000 + 62310 9 GraphicsServices 0x36552432 0x3654e000 + 17458 10 UIKit 0x3234ce76 0x3231b000 + 204406 11 myApp 0x0001bac0 main (main.m:16) 12 myApp 0x0001ba80 start + 32

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  • Help make sense of a KillDisk error/log

    - by user284194
    I have a hard drive that I've been trying to reformat. I tried reformatting it in the windows XP and 7 installers, and in an Ubuntu live cd with gparted. I tried using dd to 'zero' the drive as well with no success. Finally I ran across KillDisk after a search. I tried to zero the disk again with KillDisk and after 8 hours of zeroing I get the following errors in the log: ----------------------------------------Erase Session Begin--------------------------------------- 2010-03-23 19:35:54 Active@ KILLDISK for Windows Build 5.1.39 started Target: WDC WD2500KS-00MJB0 232.9 GB Located on: WDC WD2500KS-00MJB0 (Serial number: WD-WCANK9604799) Erase method: One Pass Zeros (1 pass) Passes: 1 Bad (unwritable) sectors detected from 1701 to 488397167 on Hard Disk 1. Error (the handle is invalid) refreshing device Hard Disk 1. Error (the handle is invalid) reading sector 0 on 81h. 2010-03-24 02:28:25 Total number of erased device(s): 0, partition(s): 0 -----------------------------------------Erase Session End---------------------------------------- Is the drive dead?

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  • Php sessions secure log in

    - by Doodle
    My question is about creating a secure log in routine. After comparing the user name and password to the stored values I set a session variable called logged to true. Then as the user surfs around the web page I just check the logged variable for true or false to determine if the user should have access. This is my first time creating something like this. Is this secure? I feel like there is something else that I should be doing to make sure that users are valid.

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  • Import xml to database with high end performance and Audit log- A best Practice

    - by karthik
    Hi, I have to import big xml files to Ms SQL 2005 Database by using C# with high end Performance. Even if any record fails in middle, i have to take next record for process and failed record need to log for audit. I don't want to put insert query with in for loop. Could you please suggest a best way to do this. If I can use bulkcopy methods or Data Adapter update methods- Its very nice, But if any record fails, execution of that statement breaks and rolled back totally, right? Any alternatives and Best practices with example please..? Is Multi-threading works for me to improve performance..? Give me example please. Thanks Karthikeyan

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  • android call log like design

    - by Alxandr
    I'm trying to create a design for a list that looks like (and mostly behaves like) the call log, like shown here: I don't need all the design, but what I'm trying to achieve is the two-columned design with the splitter in-between, and the behavior that if I click on the main item (the left part) one thing happens (in this case, you open some details about the call), and if you press the outer right part something else happens (you call the contact). I'm pretty new to android, but I've managed to do most of the designs I wanted so far, so I don't need the entire layout for this one, only the part that does the splitting and the splitter. And if possible it would be nice to know how to map the clicks appropriately, though I think I might be able to find that out by my self.

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  • Sharepoint-Log on to Remote Desktop-Webpart

    - by Hari Gillala
    Hi, I have to develop a webpart which will be deployed in the live Environment. I have to login to a remote server(windows 2003) and open up Sql Management Studio and Log on to the another server(SQL server using the IP address). I have to open a specific store procedure and change one of the parameter to true and exceute the stored Procedure. I know it is very easy to accomplish but, where do I start? Could anybody direct me in right direction Please? I will be using c#.net and VS 2008 to develop this custom webpart. Many Thanks Hari Gillala

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  • CSRF error when trying to log onto Django admin page with w3m on Emacs23

    - by Vernon
    I normally use Firefox and have had no problems with the admin page on my Django website. But I use Emacs23 for writing my posts, and wanted to be able to use w3m in Emacs to copy the stuff across. When I try to log into my admin pages, it gives the CSRF error: CSRF verification failed. Request aborted. Help Reason given for failure: No CSRF or session cookie. ... Is there a way that I could get w3m to work with my admin page? I am not sure if the problem lies with the way the admin is set up on Django or with the Emacs or w3m settings.

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  • WPF (irc) chat log control

    - by user408952
    I'm trying to learn WPF and was thinking about creating a simple IRC client. The most complicated part is to create the chat log. I want it to look more or less like the one in mIRC: or irssi: The important parts are that the text should be selectable, lines should wrap and it should be able to handle quite large logs. The alternatives that I can come up with are: StackPanel inside a ScrollViewer where each line is a row ListView, since that seems more suitable for dynamic content/data binding. Create an own control that does the rendering on its own. Is there any WPF guru out there that has some ideas on which direction to take and where to start?

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