Search Results

Search found 2993 results on 120 pages for 'distributed transactions'.

Page 14/120 | < Previous Page | 10 11 12 13 14 15 16 17 18 19 20 21  | Next Page >

  • Scalable Architecture for modern Web Development [on hold]

    - by Jhilke Dai
    I am doing research about Scalable architecture for Web Development, the research is solely to support Modern Web Development with flexible architecture which can scale up/down according to the needs without losing any core functionality. By Modern Web I mean to support all the Devices used to access websites, but the loading mechanism for all devices would be different. My quest of architecture is: For PC: Accessing web in PC is faster but it also depends on the Geo-location, so, the application would check by default the capacity of Internet/Browser and load the page according to it. For Mobile: Most of the mobile design these days either hide information or use different version of same application. eg: facebook uses m.facebook.com which is completely different than PC version. Hiding the things from Mobile using JavaScript or CSS is not a solution as it'll consume the bandwidth and make the application slow. So, my architecture research is about Serving one Application, which has different stack. When the application receives the request it'd send the Packaged Stack to the received request. This way the load time for end users would be faster and maintenance of application for developers would be easier. I am researching about for 4-tier(layered) architecture like: Presentation Layer Application Logic Layer -- The main Logic layer which stores the Presentation Stack Business Logic Layer Data Layer Main Question: Have you come across of similar architecture? If so, then can you list the links here, I'm very much interested to learn about those implementations specially in real world scenario. Have you thought about similar architectures and tried your own ideas, or if you have any ideas regarding this, then I urge to share. I am open to any discussions regarding this, so, please feel free to comment/answer.

    Read the article

  • Recording Available: March 2012 Quarterly Customer Update Webcast

    - by John Klinke
    Missed the recent Quarterly Customer Update Webcast? We covered several topics including: * WebCenter 4 Pillars overview * Support Update * WebCenter Content 11gR1 Update * WebCenter Portal 11gR1 Update * Oracle Social Network Overview VIEW WEBCAST RECORDING: Access the March 2012 Webcast recording and presentation by going to: My Oracle Support Site Note: 568127.1 We'll announce the next Quarterly Customer Update Webcast here on the WebCenter Content Alerts blog.

    Read the article

  • Version hash to solve Event Sourcing problems

    - by SystematicFrank
    The basic examples I have seen about Event Sourcing do not deal with out of order events, clock offsets in different systems and late events from system partitions. I am wondering if more polished Event Sourcing implementations rely on a version stamp of modified objects? For example, assuming that the system is rendering the entity Client with version id ABCD1234. If the user modifies the entity, the system will create an event with the modified fields AND the version id reference to which version it applies. Later the event responder would detect out of order events and merge them.

    Read the article

  • Session serialization in JavaEE environment

    - by Ionut
    Please consider the following scenario: We are working on a JavaEE project for which the scalability starts to become an issue. Up until now, we were able to scale up but this is no longer an option. Therefore we need to consider scaling out and preparing the App for a clustered environment. Our main concern right now is serializing the user sessions. Sadly, we did not consider from the beginning the issue and we are encountering the following excetion: java.io.WriteAbortedException: writing aborted; java.io.NotSerializableException: org.apache.catalina.session.StandardSessionFacade I did some research and this exception is thrown because there are objects stored on the session which does not implement the Serializable interface. Considering that all over the app there are quite a few custom objects which are stored on the session without implementing this interface, it would require a lot of tedious work and dedication to fix all these classes declaration. We will fix all this declarations but the main concern is that, in the future, there may be a developer which will add a non Serializable object on the session and break the session serialization & replication over multiple nodes. As a quick overview of the project, we are developing using a home grown framework based on Struts 1 with the Servlet 3.0 API. This means that at this point, we are using the standard session.getAttribute() and session.setAttribute() to work with the session and the session handling is scattered all over the code base. Besides updating the classes of the objects stored on session and making sure that they implement the Serializable interface, what other measures of precaution should we take in order to ensure a reliable Session replication capability on the Application layer? I know it is a little bit late to consider this but what would be the best practice in this case? Furthermore, are there any other issues we should consider regarding this transition? Thank you in advance!

    Read the article

  • Open Grid Engine or Akka/Something more fault tolerant?

    - by Mike Lyons
    My use case is that I have a pipeline of independent, stand alone programs, that I want to execute in a certain order on specific pieces of data that our output from previous pipeline stages. The pipeline is entirely linear and doesn't do anything in terms of alternate paths through the pipe. I'm currently using SGE to do this and it works OK, however occasionally a job will overstep it's memory bounds, fail, and all jobs that require that output data will fail. The pipe needs to be restarted in that case, and it seems that whatever is providing the fault tolerance in akka might solve that for me?

    Read the article

  • Any frameworks or library allow me to run large amount of concurrent jobs schedully?

    - by Yoga
    Are there any high level programming frameworks that allow me to run large amount of concurrent jobs schedully? e.g. I have 100K of urls need to check their uptime every 5 minutes Definitely I can write a program to handle this, but then I need to handle concurrency, queuing, error handling, system throttling, job distribution etc. Will there be a framework that I only focus on a particular job (i.e. the ping task) and the system will take care of the scaling and error handling for me? I am open to any language.

    Read the article

  • Running Hadoop example in psuedo-distributed mode on vm

    - by manas
    I have set-up Hadoop on a OpenSuse 11.2 VM using Virtualbox.I have made the prerequisite configs. I ran this example in the Standalone mode successfully. But in psuedo-distributed mode I get the following error: $./bin/hadoop fs -put conf input 10/04/13 15:56:25 INFO hdfs.DFSClient: Exception in createBlockOutputStream java.net.SocketException: Protocol not available 10/04/13 15:56:25 INFO hdfs.DFSClient: Abandoning block blk_-8490915989783733314_1003 10/04/13 15:56:31 INFO hdfs.DFSClient: Exception in createBlockOutputStream java.net.SocketException: Protocol not available 10/04/13 15:56:31 INFO hdfs.DFSClient: Abandoning block blk_-1740343312313498323_1003 10/04/13 15:56:37 INFO hdfs.DFSClient: Exception in createBlockOutputStream java.net.SocketException: Protocol not available 10/04/13 15:56:37 INFO hdfs.DFSClient: Abandoning block blk_-3566235190507929459_1003 10/04/13 15:56:43 INFO hdfs.DFSClient: Exception in createBlockOutputStream java.net.SocketException: Protocol not available 10/04/13 15:56:43 INFO hdfs.DFSClient: Abandoning block blk_-1746222418910980888_1003 10/04/13 15:56:49 WARN hdfs.DFSClient: DataStreamer Exception: java.io.IOException: Unable to create new block. at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:2845) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2000(DFSClient.java:2102) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2288) 10/04/13 15:56:49 WARN hdfs.DFSClient: Error Recovery for block blk_-1746222418910980888_1003 bad datanode[0] nodes == null 10/04/13 15:56:49 WARN hdfs.DFSClient: Could not get block locations. Source file "/user/max/input/core-site.xml" - Aborting... put: Protocol not available 10/04/13 15:56:49 ERROR hdfs.DFSClient: Exception closing file /user/max/input/core-site.xml : java.net.SocketException: Protocol not available java.net.SocketException: Protocol not available at sun.nio.ch.Net.getIntOption0(Native Method) at sun.nio.ch.Net.getIntOption(Net.java:178) at sun.nio.ch.SocketChannelImpl$1.getInt(SocketChannelImpl.java:419) at sun.nio.ch.SocketOptsImpl.getInt(SocketOptsImpl.java:60) at sun.nio.ch.SocketOptsImpl.sendBufferSize(SocketOptsImpl.java:156) at sun.nio.ch.SocketOptsImpl$IP$TCP.sendBufferSize(SocketOptsImpl.java:286) at sun.nio.ch.OptionAdaptor.getSendBufferSize(OptionAdaptor.java:129) at sun.nio.ch.SocketAdaptor.getSendBufferSize(SocketAdaptor.java:328) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.createBlockOutputStream(DFSClient.java:2873) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:2826) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2000(DFSClient.java:2102) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2288) Any leads will be highly appreciated.

    Read the article

  • Generating lognormally distributed random number from mean, coeff of variation

    - by Richie Cotton
    Most functions for generating lognormally distributed random numbers take the mean and standard deviation of the associated normal distribution as parameters. My problem is that I only know the mean and the coefficient of variation of the lognormal distribution. It is reasonably straight forward to derive the parameters I need for the standard functions from what I have: If mu and sigma are the mean and standard deviation of the associated normal distribution, we know that coeffOfVar^2 = variance / mean^2 = (exp(sigma^2) - 1) * exp(2*mu + sigma^2) / exp(mu + sigma^2/2)^2 = exp(sigma^2) - 1 We can rearrange this to sigma = sqrt(log(coeffOfVar^2 + 1)) We also know that mean = exp(mu + sigma^2/2) This rearranges to mu = log(mean) - sigma^2/2 Here's my R implementation rlnorm0 <- function(mean, coeffOfVar, n = 1e6) { sigma <- sqrt(log(coeffOfVar^2 + 1)) mu <- log(mean) - sigma^2 / 2 rlnorm(n, mu, sigma) } It works okay for small coefficients of variation r1 <- rlnorm0(2, 0.5) mean(r1) # 2.000095 sd(r1) / mean(r1) # 0.4998437 But not for larger values r2 <- rlnorm0(2, 50) mean(r2) # 2.048509 sd(r2) / mean(r2) # 68.55871 To check that it wasn't an R-specific issue, I reimplemented it in MATLAB. (Uses stats toolbox.) function y = lognrnd0(mean, coeffOfVar, sizeOut) if nargin < 3 || isempty(sizeOut) sizeOut = [1e6 1]; end sigma = sqrt(log(coeffOfVar.^2 + 1)); mu = log(mean) - sigma.^2 ./ 2; y = lognrnd(mu, sigma, sizeOut); end r1 = lognrnd0(2, 0.5); mean(r1) % 2.0013 std(r1) ./ mean(r1) % 0.5008 r2 = lognrnd0(2, 50); mean(r2) % 1.9611 std(r2) ./ mean(r2) % 22.61 Same problem. The question is, why is this happening? Is it just that the standard deviation is not robust when the variation is that wide? Or have a screwed up somewhere?

    Read the article

  • Apache's AuthDigestDomain and Rails Distributed Asset Hosts

    - by Jared
    I've got a server I'm in the process of setting up and I'm running into an Apache configuration problem that I can not get around. I've got Apache 2.2 and Passenger serving a Rails app with distributed asset hosting. This is the feature of Rails that lets you serve your static assets from assets0.example.com, assets1, assets2, and so on. The site needs to be passworded until launch. I've set up HTTP authentication on the site using Apache's mod_auth_digest. In my configuration I'm attempting to use the AuthDigestDomain directive to allow access to each of the asset URLs. The problem is, it doesn't seem to be working. I get the initial prompt for the password when I load the page, but then the first time it loads an asset from one of the asset URLs, I get prompted a 2nd, 3rd, or 4th time. In some browsers, I get prompted for every single resource on the page. I'm hoping that this is only a problem of how I'm specifying my directives and not a limitation of authorization in Apache itself. See the edited auth section below: <Location /> AuthType Digest AuthName "Restricted Site" AuthUserFile /etc/httpd/passwd/passwords AuthGroupFile /dev/null AuthDigestDomain / http://assets0.example.com/ http://assets1.example.com/ http://assets2.example.com/ http://assets3.example.com/ require valid-user order deny,allow allow from all </Location>

    Read the article

  • Is there any way to distribute x264 encoding jobs across multiple computers (to increase the encodin

    - by Breakthrough
    Does anyone know of a current, active solution to encoding x264 videos across many computers (via the network) to increase encoding FPS? I heard in the past of the project x264farm; unfortunately, it is not actively developed anymore, and isn't compatible with newer x264 builds. I'm looking for a current solution, which is compatible with newer builds of x264. Just to note this, I'm a Windows user, so I'm only looking for Windows solutions (or at the very least, Linux). I've also seen the ELDER distributed encoder, but the quality varies depending on the settings you use - I'd prefer a solution similar to x264farm as noted above (the documentation outlines the encoding process), but one that is compatible with new(er) x264 builds, and is preferably actively developed. Final Edit: Unfortunately, the bounty for this question has expired, and I haven't found a decent solution for this. So if at any time someone finds a new, distributed encoding solution for x264 (or any h.264 coded, for that matter) - please answer this question! I'd love to discover an ideal method to make this work!

    Read the article

  • SQL SERVER – Repair a SQL Server Database Using a Transaction Log Explorer

    - by Pinal Dave
    In this blog, I’ll show how to use ApexSQL Log, a SQL Server transaction log viewer. You can download it for free, install, and play along. But first, let’s describe some disaster recovery scenarios where it’s useful. About SQL Server disaster recovery Along with database development and administration, you must work on a good recovery plan. Disasters do happen and no one’s immune. What you can do is take all actions needed to be ready for a disaster and go through it with minimal data loss and downtime. Besides creating a recovery plan, it’s necessary to have a list of steps that will be executed when a disaster occurs and to test them before a disaster. This way, you’ll know that the plan is good and viable. Testing can also be used as training for all team members, so they can all understand and execute it when the time comes. It will show how much time is needed to have your servers fully functional again and how much data you can lose in a real-life situation. If these don’t meet recovery-time and recovery-point objectives, the plan needs to be improved. Keep in mind that all major changes in environment configuration, business strategy, and recovery objectives require a new recovery plan testing, as these changes most probably induce a recovery plan changing and tweaking. What is a good SQL Server disaster recovery plan? A good SQL Server disaster recovery strategy starts with planning SQL Server database backups. An efficient strategy is to create a full database backup periodically. Between two successive full database backups, you can create differential database backups. It is essential is to create transaction log backups regularly between full database backups. Keep in mind that transaction log backups can be created only on databases in the full recovery model. In other words, a simple, but efficient backup strategy would be a full database backup every night, a transaction log backup every hour, or every 15 minutes. The frequency depends on how much data you can afford to lose and how busy the database is. Another option, instead of creating a full database backup every night, is to create a full database backup once a week (e.g. on Friday at midnight) and differential database backup every night until next Friday when you will create a full database backup again. Once you create your SQL Server database backup strategy, schedule the backups. You can do that easily using SQL Server maintenance plans. Why are transaction logs important? Transaction log backups contain transactions executed on a SQL Server database. They provide enough information to undo and redo the transactions and roll back or forward the database to a point in time. In SQL Server disaster recovery situations, transaction logs enable to repair a SQL Server database and bring it to the state before the disaster. Be aware that even with regular backups, there will be some data missing. These are the transactions made between the last transaction log backup and the time of the disaster. In some situations, to repair your SQL Server database it’s not necessary to re-create the database from its last backup. The database might still be online and all you need to do is roll back several transactions, such as wrong update, insert, or delete. The restore to a point in time feature is available in SQL Server, but for large databases, it is very time-consuming, as SQL Server first restores a full database backup, and then restores transaction log backups, one after another, up to the recovery point. During that time, the database is unavailable. This is where a SQL Server transaction log viewer can help. For optimal recovery, besides having a database in the full recovery model, it’s important that you haven’t manually truncated the online transaction log. This ensures that all transactions made after the last transaction log backup are still in the online transaction log. All you have to do is read and replay them. How to read a SQL Server transaction log? SQL Server doesn’t provide an option to read transaction logs. There are several SQL Server commands and functions that read the content of a transaction log file (fn_dblog, fn_dump_dblog, and DBCC PAGE), but they are undocumented. They require T-SQL knowledge, return a large number of not easy to read and understand columns, sometimes in binary or hexadecimal format. Another challenge is reading UPDATE statements, as it’s necessary to match it to a value in the MDF file. When you finally read the transactions executed, you have to create a script for it. How to easily repair a SQL database? The easiest solution is to use a transaction log reader that will not only read the transactions in the transaction log files, but also automatically create scripts for the read transactions. In the following example, I will show how to use ApexSQL Log to repair a SQL database after a crash. If a database has crashed and both MDF and LDF files are lost, you have to rely on the full database backup and all subsequent transaction log backups. In another scenario, the MDF file is lost, but the LDF file is available. First, restore the last full database backup on SQL Server using SQL Server Management Studio. I’ll name it Restored_AW2014. Then, start ApexSQL Log It will automatically detect all local servers. If not, click the icon right to the Server drop-down list, or just type in the SQL Server instance name. Select the Windows or SQL Server authentication type and select the Restored_AW2014 database from the database drop-down list. When all options are set, click Next. ApexSQL Log will show the online transaction log file. Now, click Add and add all transaction log backups created after the full database backup I used to restore the database. In case you don’t have transaction log backups, but the LDF file hasn’t been lost during the SQL Server disaster, add it using Add.   To repair a SQL database to a point in time, ApexSQL Log needs to read and replay all the transactions in the transaction log backups (or the LDF file saved after the disaster). That’s why I selected the Whole transaction log option in the Filter setup. ApexSQL Log offers a range of various filters, which are useful when you need to read just specific transactions. You can filter transactions by the time of the transactions, operation type (e.g. to read only data inserts), table name, SQL Server login that made the transaction, etc. In this scenario, to repair a SQL database, I’ll check all filters and make sure that all transactions are included. In the Operations tab, select all schema operations (DDL). If you omit these, only the data changes will be read so if there were any schema changes, such as a new function created, or an existing table modified, they will be ignored and database will not be properly repaired. The data repair for modified tables will fail. In the Tables tab, I’ll make sure all tables are selected. I will uncheck the Show operations on dropped tables option, to reduce the number of transactions. Click Next. ApexSQL Log offers three options. Select Open results in grid, to get a user-friendly presentation of the transactions. As you can see, details are shown for every transaction, including the old and new values for updated columns, which are clearly highlighted. Now, select them all and then create a redo script by clicking the Create redo script icon in the menu.   For a large number of transactions and in a critical situation, when acting fast is a must, I recommend using the Export results to file option. It will save some time, as the transactions will be directly scripted into a redo file, without showing them in the grid first. Select Generate reconstruction (REDO) script , change the output path if you want, and click Finish. After the redo T-SQL script is created, ApexSQL Log shows the redo script summary: The third option will create a command line statement for a batch file that you can use to schedule execution, which is not really applicable when you repair a SQL database, but quite useful in daily auditing scenarios. To repair your SQL database, all you have to do is execute the generated redo script using an integrated developer environment tool such as SQL Server Management Studio or any other, against the restored database. You can find more information about how to read SQL Server transaction logs and repair a SQL database on ApexSQL Solution center. There are solutions for various situations when data needs to be recovered, restored, or transactions rolled back. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

    Read the article

  • Default Transaction Timeout

    - by MattH
    I used to set Transaction timeouts by using TransactionOptions.Timeout, but have decided for ease of maintenance to use the config approach: <system.transactions> <defaultSettings timeout="00:01:00" /> </system.transactions> Of course, after putting this in, I wanted to test it was working, so reduced the timeout to 5 seconds, then ran a test that lasted longer than this - but the transaction does not appear to abort! If I adjust the test to set TransactionOptions.Timeout to 5 seconds, the test works as expected After Investigating I think the problem appears to relate to TransactionOptions.Timeout, even though I'm no longer using it. I still need to use TransactionOptions so I can set IsolationLevel, but I no longer set the Timeout value, if I look at this object after I create it, the timeout value is 00:00:00, which equates to infinity. Does this mean my value set in the config file is being ignored? To summarise: Is it impossible to mix the config setting, and use of TransactionOptions If not, is there any way to extract the config setting at runtime, and use this to set the Timeout property [Edit] OR Set the default isolation-level without using TransactionOptions

    Read the article

  • Is something along the lines of nested memoization needed here?

    - by Daniel
    System.Transactions notoriously escalates transactions involving multiple connections to the same database to the DTC. The module and helper class, ConnectionContext, below are meant to prevent this by ensuring multiple connection requests for the same database return the same connection object. This is, in some sense, memoization, although there are multiple things being memoized and the second is dependent on the first. Is there some way to hide the synchronization and/or mutable state (perhaps using memoization) in this module, or perhaps rewrite it in a more functional style? (It may be worth nothing that there's no locking when getting the connection by connection string because Transaction.Current is ThreadStatic.) type ConnectionContext(connection:IDbConnection, ownsConnection) = member x.Connection = connection member x.OwnsConnection = ownsConnection interface IDisposable with member x.Dispose() = if ownsConnection then connection.Dispose() module ConnectionManager = let private _connections = new Dictionary<string, Dictionary<string, IDbConnection>>() let private getTid (t:Transaction) = t.TransactionInformation.LocalIdentifier let private removeConnection tid = let cl = _connections.[tid] for (KeyValue(_, con)) in cl do con.Close() lock _connections (fun () -> _connections.Remove(tid) |> ignore) let getConnection connectionString (openConnection:(unit -> IDbConnection)) = match Transaction.Current with | null -> new ConnectionContext(openConnection(), true) | current -> let tid = getTid current // get connections for the current transaction let connections = match _connections.TryGetValue(tid) with | true, cl -> cl | false, _ -> let cl = Dictionary<_,_>() lock _connections (fun () -> _connections.Add(tid, cl)) cl // find connection for this connection string let connection = match connections.TryGetValue(connectionString) with | true, con -> con | false, _ -> let initial = (connections.Count = 0) let con = openConnection() connections.Add(connectionString, con) // if this is the first connection for this transaction, register connections for cleanup if initial then current.TransactionCompleted.Add (fun args -> let id = getTid args.Transaction removeConnection id) con new ConnectionContext(connection, false)

    Read the article

  • "cloud architecture" concepts in a system architecture diagrams

    - by markus
    If you design a distributed application for easy scale-out, or you just want to make use of any of the new “cloud computing” offerings by Amazon, Google or Microsoft, there are some typical concepts or components you usually end up using: distributed blob storage (aka S3) asynchronous, durable message queues (aka SQS) non-Relational-/non-transactional databases (like SimpleDB, Google BigTable, Azure SQL Services) distributed background worker pool load-balanced, edge-service processes handling user requests (often virtualized) distributed caches (like memcached) CDN (content delivery network like Akamai) Now when it comes to design and sketch an architecture that makes use of such patterns, are there any commonly used symbols I could use? Or even a download with some cool Visio stencils? :) It doesn’t have to be a formal system like UML but I think it would be great if there were symbols that everyone knows and understands, like we have commonly used shapes for databases or a documents, for example. I think it would be important to not mix it up with traditional concepts like a normal file system (local or network server/SAN), or a relational database. Simply speaking, I want to be able to draw some conclusions about an application’s scalability or data consistency issues by just looking at the system architecture overview diagram. Update: Thank you very much for your answers. I like the idea of putting a small "cloud symbol" on the traditional symbols. However I leave this thread open just in case someone will find specific symbols (maybe in a book or so) - or uploaded some pimped up Visio stencils ;)

    Read the article

  • Delivery of JMS message before the transaction is committed

    - by ewernli
    Hi, I have a very simple scenario involving a database and a JMS in an application server (Glassfish). The scenario is dead simple: 1. an EJB inserts a row in the database and sends a message. 2. when the message is delivered with an MDB, the row is read and updated. The problem is that sometimes the message is delivered before the insert has been committed in the database. This is actually understandable if we consider the 2 phase commit protocol: 1. prepare JMS 2. prepare database 3. commit JMS 4. ( tiny little gap where message can be delivered before insert has been committed) 5. commit database I've discussed this problem with others, but the answer was always: "Strange, it should work out of the box". My questions are then: How could it work out-of-the box? My scenario sounds fairly simple, why isn't there more people with similar troubles? Am I doing something wrong? Is there a way to solve this issue correctly? Here are a bit more details about my understanding of the problem: This timing issue exist only if the participant are treated in this order. If the 2PC treats the participants in the reverse order (database first then message broker) that should be fine. The problem was randomly happening but completely reproducible. I found no way to control the order of the participants in the distributed transactions in the JTA, JCA and JPA specifications neither in the Glassfish documentation. We could assume they will be enlisted in the distributed transaction according to the order when they are used, but with an ORM such as JPA, it's difficult to know when the data are flushed and when the database connection is really used. Any idea?

    Read the article

  • Implement custom JTA XAResource for using with hibernate

    - by jstingo
    I have two level access to database: the first with Hibernate, the second with JDBC. The JDBC level work with nontransactional tables (I use MyISAM for speed). I want make both levels works within transaction. I read about JTA which can manage distributed transactions. But there is lack information in the internet about how to implement and use custom resource. Does any one have experience with using custom XAResources?

    Read the article

  • Running Awk command on a cluster

    - by alex
    How do you execute a Unix shell command (awk script, a pipe etc) on a cluster in parallel (step 1) and collect the results back to a central node (step 2) Hadoop seems to be a huge overkill with its 600k LOC and its performance is terrible (takes minutes just to initialize the job) i don't need shared memory, or - something like MPI/openMP as i dont need to synchronize or share anything, don't need a distributed VM or anything as complex Google's SawZall seems to work only with Google proprietary MapReduce API some distributed shell packages i found failed to compile, but there must be a simple way to run a data-centric batch job on a cluster, something as close as possible to native OS, may be using unix RPC calls i liked rsync simplicity but it seem to update remote notes sequentially, and you cant use it for executing scripts as afar as i know switching to Plan 9 or some other network oriented OS looks like another overkill i'm looking for a simple, distributed way to run awk scripts or similar - as close as possible to data with a minimal initialization overhead, in a nothing-shared, nothing-synchronized fashion Thanks Alex

    Read the article

  • Determining a transaction fee before an order is processed

    - by Kenji Crosland
    When users make credit card transactions on my web app, I'd like to include the transaction fee on the confirmation page before the user makes the order. The thing is, there are different transaction fees for different cards. Is there a way to determine a transaction fee from the card number? I'm using Rails and ActiveMerchant, but I figure this question was applicable to other languages as well.

    Read the article

  • SQL Query syntax, I want to use INNER JOIN

    - by amol kadam
    Hi . I'm working on a windows application project using front end "vb.net" & back end "Ms Access" I have problem in wrinting sql query Actually there are 5 tables Transaction,items,itemtitle,itemtype & userinfo. check the following query & with this referance if u get idea then plz change in correct query Thanking You SELECT TRANSACTIONS.ACCESSIONNO AS ACCESSIONNO,TRANSACTIONS.TYPEID, TRANSACTIONS.CHECKOUTDATE AS CHECKOUTDATE,ITEMTITLE.ITEMTITLE, TRANSACTIONS.CHECKEDOUTBY, USERINFO.FULLNAME_ENG, USERINFO.FULLNAME_MAR, TRANSACTIONS.ACCOUNTNO, ITEMTYPE.TYPES_MAR, ITEMTYPE.TYPES_ENG FROM TRANSACTIONS,ITEMTYPE, ITEMTITLE, USERINFO WHERE TRANSACTIONS.ACCOUNTNO=USERINFO.ACCOUNTNO AND TRANSACTIONS.ACCESSIONNO=ITEMS.ACCESSIONNO AND ITEMS.ITEMTITLEID=ITEMTITLE.ITEMTITLEID AND TRANSACTIONS.TYPEID=ITEMTYPE.TYPEID AND TRANSACTIONS.STATUS='Enabled'

    Read the article

  • How to detect a pending JDO transaction?

    - by Stevko
    I believe I am getting JDO commit Exceptions due to the transactions nesting although I'm not sure. Will this detect the situation where I am starting a transaction when another is pending? PersistenceManager pm = PersistenceManagerFactory.get().getPersistenceManager(); assert pm.currentTransaction().isActive() == false : "arrrgh"; pm.currentTransaction().begin(); Is there a better or more reliable way?

    Read the article

  • Two Phase Commit with MongoDB

    - by mattcodes
    Heres what Im thinking. Do you see any issues with this workaround to emulate 2 phase commit when using something like MongoDB where each operation is atomic and there is no support for transactions outside of that? transaction_scope: read message from servicebus - UpdateCustomerAddress get customer aggregate from docdb, replay events where commited =1 call customer.updateAddress validates creates customer address updated event apply event event store as uncommitted events do optimistic concurrency update against docdb pushing uncommitted events (single op to ensure consistency) publish event to service bus update docdb set events just published to commited = 1 (again one 1 op - at least in mongodb) transaction_complete

    Read the article

  • I want to create a mobile content for mobile users, any help?

    - by Husni Mubarak
    I am new to mobile content developing, but i want to create a mobile content that would allow mobile phone users buy have a money account on thir mobile phones, this is by using their airtime to turn into some kind of money account they will create on their phone. so they can use that account to do transactions with their mobile phone, and also they can also transfer funds from one their mobile phones to another mobile phones. How and where do i start? Help pleasssssssssssssss?

    Read the article

  • @Transactional in Spring+Hibernate

    - by Arun Kumar
    I an using Spring 3.1 + Hibernate 4.x in my web application. In my DAO, i am saving User type object as following sessionFactory.getCurrentSession().save(user); But getting following exception: org.hibernate.HibernateException: save is not valid without active transaction I googled and found similar question on SO, with following solution: Session session=getSessionFactory().getCurrentSession(); Transaction trans=session.beginTransaction(); session.save(entity); trans.commit(); That solves the problem. But in that solution, there is lot of mess of beginning and committing the transactions manually. Can't i use sessionFactory.getCurrentSession().save(user); directly without begin/commit of transactions manually? I try to use @Transactional on my service/dao methods too, but the problem persists. EDIT : Here is my Hibernate Config File: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.1.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.1.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.1.xsd"> <!-- enable the configuration of transactional behavior based on annotations --> <tx:annotation-driven transaction-manager="txManager"/> <bean id="dataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource" p:driverClassName="${db.driverClassName}" p:url="${db.url}" p:username="${db.username}" p:password="${db.password}" /> <bean id="sessionFactory" class="org.springframework.orm.hibernate3.annotation.AnnotationSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="packagesToScan" value="com.myapp.entities" /> <property name="hibernateProperties"> <props> <prop key="hibernate.dialect">org.hibernate.dialect.MySQLDialect</prop> <prop key="hibernate.show_sql">true</prop> </props> </property> </bean> <!--Transaction Manager Added --> <bean id="txManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory"> <ref bean="sessionFactory" /> </property> </bean> </beans> Please help.

    Read the article

  • database transaction rollback processing in PHP

    - by user198729
    try { $con->beginTransaction(); $this->doSave($con); $con->commit(); } catch (Exception $e) { $con->rollBack(); throw $e; } The code above is quite standard an approach to deal with transactions, but my question is:what if $con->rollBack() also fails? It may cause db lock,right?If so,what's the perfect way to go?

    Read the article

< Previous Page | 10 11 12 13 14 15 16 17 18 19 20 21  | Next Page >