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  • How do you enable webcam support in Facebook for Ubuntu 10.04?

    - by Jonathan
    I think I have finally arrived at an insolvable equation: Chromium v.7 + Ubuntu 10.04 + Sun Java 6 + Webcam + Facebook + Flash 10 = non-functional All of those items listed above are potential points of failure in this situation, and any help narrowing them down would be fantastic. I am simply trying to enable webcame support directly through Facebooks website. Forum searches and the usual googling turn up few posts related to this specific equation. Two of the major suggestions include: 1) Installing the Sun (I refuse to say oracle sob)-provided Java implementation instead of the OpenJDK normally installed in Ubuntu. And yes, after installing it, I did update all my default supports to use the sun commands over the openjdk. 2) Somehow enabling Facebook as a permitted site to access my webcam using Flash settings. I have not been able to explore option 2 because I cannot find a way to adjust the Flash settings in chromium 7. Other factors that do not help include the fact that I am pretty sure facebook changes its webcam interface every 10 seconds just to keep troubleshooters and support personnel on their toes. If anyone has a OTP that informs us of the next shift in the app, a leak would be greatly appreciated!

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  • Linux - Network Sharing a local NTFS usb drive

    - by Jonathan Rioux
    I have an external hard drive formated in NTFS which I would like to be able to access by the network. I want to make a network share out of it. I also have a Debian machine running in my house and I then got an idea. I want to plug in my external hard drive (usb) into my Debian machine, and make a windows share with it, maybe with Samba, so I will be able to access it from my Windows 7 laptop and see it as a network share. Additionally, how can I restrict specific folders of that network share, and allow only specific folders to specific users? For instance, I would like to give my girlfriend access to a folder of her name so she can put her files and so she wont be able to see the stuff in my folder...

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  • View numeric columns in hex - SQL Server Management Studio

    - by Jonathan
    In SQL Server Management Studio, when I run a query which outputs a numeric column (int or similar types), they are displayed in decimal (example: 193). I want them to display in hex (example: 0xC1). How do I do that? I found many answers on how to write converter functions, but I don't want that - only change the display in SSMS. I only found this unanswered question. I use SQL2010, though may move to SQL2012 soon.

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  • Getting a Cross-Section from Two CSV Files

    - by Jonathan Sampson
    I have two CSV files that I am working with. One is massive, with about 200,000 rows. The other is much smaller, having about 12,000 rows. Both fit the same format of names, and email addresses (everything is legit here, no worries). Basically I'm trying to get only a subset of the second list by removing all values that presently exist in the larger file. So, List A has ~200k rows, and List B has ~12k. These lists overlap a bit, and I'd like to remove all entries from List B if they also exist in List A, leaving me with new and unique values only in List B. I've got a few tooks at my disposal that I can use. Open Office is loaded on this machine, along with MySQL (queries are alright). What's the easiest way to create a third CSV with the intersection of data?

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  • Windows 7 tasks don't switch when clicking window

    - by Jonathan Weinraub
    I got a peculiar problem with an enduser today. He says for the past month or so, if he has a window open (not maximised) and he clicks the window below it (also not maximised), it won't switch to it. For example, if he is in Lotus Notes, and wants to go back to Firefox, and he clicks the Firefox title bar, the tasks don't change focus/switch to it. This doesn't happen for applications. Usually it is with Firefox but if he's in Matlab and goes to PADS for example, they switch fine. If you close the apps, and reopen them, it'll work, but about 30 minutes later the weirdness then resumes. Any insight would be greatly appreciated. Thanks!

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  • Bringing Google Docs to the Desktop

    - by Jonathan Sampson
    Is there a stable way of accessing Google Docs (application) from my desktop without having to use a browser on Windows? On my accepted answer... While I did stipulate that I wanted to not use my browser, I didn't really mean I wanted to avoid browser technology. I meant I didn't want to open my browser, type in the web address for google docs, etc. TheTXI's answer required me to download/install nothing more than what I already had (Chrome) to acheive this. It created a desktop icon (similar to an application) that launches me right into my docs (similar to an application), without extra browser-items on the screen. This was an excellent suggestion, and won by virtue of parsimony.

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  • Incremental RPM package version "numbers" for x.y.z > x.y.z-beta (or alpha, rc, etc)

    - by Jonathan Clarke
    In order to publish RPM packages of several different versions of some software, I'm looking for a way to specify version "numbers" that are considered "upgrades", and include the differentiation of several pre-release versions, such as (in order): "2.4.0 alpha 1", "2.4.0 alpha 2", "2.4.0 alpha 3", "2.4.0 beta 1", "2.4.0 beta 2", "2.4.0 release candidate", "2.4.0 final", "2.4.1", "2.4.2", etc. The main issue I have with this is that RPM considers that "2.4.0" comes earlier than "2.4.0.alpha1", so I can't just add the suffix on the end of the final version number. I could try "2.4.0.alpha1", "2.4.0.beta1", "2.4.0.final", which would work, except for the "release candidate" that would be considered later than "2.4.0.final". An alternative I considered is using the "epoch:" section of the RPM version number (the epoch: prefix is considered before the main version number so that "1:2.4.0" is actually earlier than "2:1.0.0"). By putting a timestamp in the epoch: field, all the versions get ordered as expected by RPM, because their versions appear to increment in time. However, this fails when new releases are made on several major versions at the same time (for example, 2.3.2 is released after 2.4.0, but their version for RPM are "20121003:2.3.2" and "20120928:2.4.0" and systems on 2.3.2 can't get "upgraded" to 2.4.0, because rpm sees it as an older version). In this case, yum/zypper/etc refuse to upgrade to 2.4.0, thus my problem. What version numbers can I use to achieve this, and make sure that RPM always considers the version numbers to be in order. Or if not version numbers, other mechanism in RPM packaging? Note 1: I would like to keep the "Release:" field of the spec file for it's original purpose (several releases of packages, including packaging changes, for the same version of the packaged software). Note 2: This should work on current production versions of major distributions, such as RHEL/CentOS 6 and SLES 11. But I'm interested in solutions that don't, too, so long as they don't involve recompiling rpm! Note 3: On Debian-like systems, dpkg uses a special component in the version number which is the "~" (tilde) character. This causes dpkg to count the suffix as "negative" ordering, so that "2.4.0~anything" will come before "2.4.0". Then, normal ordering applies after the "~", so "2.4.0~alpha1" comes before "2.4.0~beta1" because "alpha" comes before "beta" alphabetically. I'm not necessarily looking to use the same scheme for RPM packages (I'm pretty sure no such equivalent exists), so this is just FYI.

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  • Mac app to apply certain settings based on selected location (profile)?

    - by Jonathan
    When my MacBook is connected to my Thunderbolt Display, I want WiFi to be turned off, Bluetooth to be turned on and the screen brightness to be at max. On the road I want WiFi to be turned on, Bluetooth to be turned off and the screen brightness to be somewhere in the middle. It would be easy if there was an application that would let me create several profiles (like 'Home' and 'On the road'), which I could easily select (from Dashboard or the menu bar). The profile settings would then be applied instantly. Does an application like this exist?

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  • Will the removal of NAT (with the use of IPv6) be bad for consumers? [closed]

    - by Jonathan.
    Possible Duplicate: How will IPv6 impact everyday users? (World IPv6 Day) As I understand when we have finally made the switch to IPv6 not only will NAT be unnecessary but it is incompatible with IPv6? Will that mean that ISPs will have to serve multiple IP addresses per customer? Will they provide a range of addresses for each customer or as each device connects will they get an IP address that isn't necessarily near that of the other devices in their house? But overall will this be bad for the Internet users? as surely it will allow ISPs to see exactly how many devices are being used, and so allow them to charge for the use of additional IP addresses? And then if that happens, what happens when you try to connect an extra device to your network? Will it simply not get an IP address? In my home we have about 15-20 devices connected at once, but for places where there are hundreds of devices, it seems like the perfect opportunity for ISPs to charge more? I think I may have it completely wrong, so is there somewhere where there is an explanation of who things will work when IPv6 becomes the norm?

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  • Slow remote desktop connection to VPS

    - by Jonathan
    When I use Windows 7's remote desktop connection to our company's VPS (Win Server 2008 32bit) I receive a very slow connection - most of the times it actually grinds down to a complete halt. This is in contrast to my team mates which have no problem remoting to the VPS. I'm using a brand new Dell Studio 1558 laptop with Intel Core i7 and 4GB RAM with a clean installation of Windows 7 64bit Ultimate. Any suggestions for how to diagnose \ solve \ workaround the problem would be appreciated. UPDATES: I checked, and it seems the problem exists with all the computers connected to my home LAN. Once I take my laptop to the nearest coffee shop it works fine. What could be the problem with the LAN?

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  • SQL SERVER – Concurrency Basics – Guest Post by Vinod Kumar

    - by pinaldave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions from SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. Learning is always fun when it comes to SQL Server and learning the basics again can be more fun. I did write about Transaction Logs and recovery over my blogs and the concept of simplifying the basics is a challenge. In the real world we always see checks and queues for a process – say railway reservation, banks, customer supports etc there is a process of line and queue to facilitate everyone. Shorter the queue higher is the efficiency of system (a.k.a higher is the concurrency). Every database does implement this using checks like locking, blocking mechanisms and they implement the standards in a way to facilitate higher concurrency. In this post, let us talk about the topic of Concurrency and what are the various aspects that one needs to know about concurrency inside SQL Server. Let us learn the concepts as one-liners: Concurrency can be defined as the ability of multiple processes to access or change shared data at the same time. The greater the number of concurrent user processes that can be active without interfering with each other, the greater the concurrency of the database system. Concurrency is reduced when a process that is changing data prevents other processes from reading that data or when a process that is reading data prevents other processes from changing that data. Concurrency is also affected when multiple processes are attempting to change the same data simultaneously. Two approaches to managing concurrent data access: Optimistic Concurrency Model Pessimistic Concurrency Model Concurrency Models Pessimistic Concurrency Default behavior: acquire locks to block access to data that another process is using. Assumes that enough data modification operations are in the system that any given read operation is likely affected by a data modification made by another user (assumes conflicts will occur). Avoids conflicts by acquiring a lock on data being read so no other processes can modify that data. Also acquires locks on data being modified so no other processes can access the data for either reading or modifying. Readers block writer, writers block readers and writers. Optimistic Concurrency Assumes that there are sufficiently few conflicting data modification operations in the system that any single transaction is unlikely to modify data that another transaction is modifying. Default behavior of optimistic concurrency is to use row versioning to allow data readers to see the state of the data before the modification occurs. Older versions of the data are saved so a process reading data can see the data as it was when the process started reading and not affected by any changes being made to that data. Processes modifying the data is unaffected by processes reading the data because the reader is accessing a saved version of the data rows. Readers do not block writers and writers do not block readers, but, writers can and will block writers. Transaction Processing A transaction is the basic unit of work in SQL Server. Transaction consists of SQL commands that read and update the database but the update is not considered final until a COMMIT command is issued (at least for an explicit transaction: marked with a BEGIN TRAN and the end is marked by a COMMIT TRAN or ROLLBACK TRAN). Transactions must exhibit all the ACID properties of a transaction. ACID Properties Transaction processing must guarantee the consistency and recoverability of SQL Server databases. Ensures all transactions are performed as a single unit of work regardless of hardware or system failure. A – Atomicity C – Consistency I – Isolation D- Durability Atomicity: Each transaction is treated as all or nothing – it either commits or aborts. Consistency: ensures that a transaction won’t allow the system to arrive at an incorrect logical state – the data must always be logically correct.  Consistency is honored even in the event of a system failure. Isolation: separates concurrent transactions from the updates of other incomplete transactions. SQL Server accomplishes isolation among transactions by locking data or creating row versions. Durability: After a transaction commits, the durability property ensures that the effects of the transaction persist even if a system failure occurs. If a system failure occurs while a transaction is in progress, the transaction is completely undone, leaving no partial effects on data. Transaction Dependencies In addition to supporting all four ACID properties, a transaction might exhibit few other behaviors (known as dependency problems or consistency problems). Lost Updates: Occur when two processes read the same data and both manipulate the data, changing its value and then both try to update the original data to the new value. The second process might overwrite the first update completely. Dirty Reads: Occurs when a process reads uncommitted data. If one process has changed data but not yet committed the change, another process reading the data will read it in an inconsistent state. Non-repeatable Reads: A read is non-repeatable if a process might get different values when reading the same data in two reads within the same transaction. This can happen when another process changes the data in between the reads that the first process is doing. Phantoms: Occurs when membership in a set changes. It occurs if two SELECT operations using the same predicate in the same transaction return a different number of rows. Isolation Levels SQL Server supports 5 isolation levels that control the behavior of read operations. Read Uncommitted All behaviors except for lost updates are possible. Implemented by allowing the read operations to not take any locks, and because of this, it won’t be blocked by conflicting locks acquired by other processes. The process can read data that another process has modified but not yet committed. When using the read uncommitted isolation level and scanning an entire table, SQL Server can decide to do an allocation order scan (in page-number order) instead of a logical order scan (following page pointers). If another process doing concurrent operations changes data and move rows to a new location in the table, the allocation order scan can end up reading the same row twice. Also can happen if you have read a row before it is updated and then an update moves the row to a higher page number than your scan encounters later. Performing an allocation order scan under Read Uncommitted can cause you to miss a row completely – can happen when a row on a high page number that hasn’t been read yet is updated and moved to a lower page number that has already been read. Read Committed Two varieties of read committed isolation: optimistic and pessimistic (default). Ensures that a read never reads data that another application hasn’t committed. If another transaction is updating data and has exclusive locks on data, your transaction will have to wait for the locks to be released. Your transaction must put share locks on data that are visited, which means that data might be unavailable for others to use. A share lock doesn’t prevent others from reading but prevents them from updating. Read committed (snapshot) ensures that an operation never reads uncommitted data, but not by forcing other processes to wait. SQL Server generates a version of the changed row with its previous committed values. Data being changed is still locked but other processes can see the previous versions of the data as it was before the update operation began. Repeatable Read This is a Pessimistic isolation level. Ensures that if a transaction revisits data or a query is reissued the data doesn’t change. That is, issuing the same query twice within a transaction cannot pickup any changes to data values made by another user’s transaction because no changes can be made by other transactions. However, this does allow phantom rows to appear. Preventing non-repeatable read is a desirable safeguard but cost is that all shared locks in a transaction must be held until the completion of the transaction. Snapshot Snapshot Isolation (SI) is an optimistic isolation level. Allows for processes to read older versions of committed data if the current version is locked. Difference between snapshot and read committed has to do with how old the older versions have to be. It’s possible to have two transactions executing simultaneously that give us a result that is not possible in any serial execution. Serializable This is the strongest of the pessimistic isolation level. Adds to repeatable read isolation level by ensuring that if a query is reissued rows were not added in the interim, i.e, phantoms do not appear. Preventing phantoms is another desirable safeguard, but cost of this extra safeguard is similar to that of repeatable read – all shared locks in a transaction must be held until the transaction completes. In addition serializable isolation level requires that you lock data that has been read but also data that doesn’t exist. Ex: if a SELECT returned no rows, you want it to return no. rows when the query is reissued. This is implemented in SQL Server by a special kind of lock called the key-range lock. Key-range locks require that there be an index on the column that defines the range of values. If there is no index on the column, serializable isolation requires a table lock. Gets its name from the fact that running multiple serializable transactions at the same time is equivalent of running them one at a time. Now that we understand the basics of what concurrency is, the subsequent blog posts will try to bring out the basics around locking, blocking, deadlocks because they are the fundamental blocks that make concurrency possible. Now if you are with me – let us continue learning for SQL Server Locking Basics. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Concurrency

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  • SQL Server lock/hang issue

    - by mattwoberts
    Hi, I'm using SQL Server 2008 on Windows Server 2008 R2, all sp'd up. I'm getting occasional issues with SQL Server hanging with the CPU usage on 100% on our live server. It seems all the wait time on SQL Sever when this happens is given to SOS_SCHEDULER_YIELD. Here is the Stored Proc that causes the hang. I've added the "WITH (NOLOCK)" in an attempt to fix what seems to be a locking issue. ALTER PROCEDURE [dbo].[MostPopularRead] AS BEGIN SET NOCOUNT ON; SELECT c.ForeignId , ct.ContentSource as ContentSource , sum(ch.HitCount * hw.Weight) as Popularity , (sum(ch.HitCount * hw.Weight) * 100) / @Total as Percent , @Total as TotalHits from ContentHit ch WITH (NOLOCK) join [Content] c WITH (NOLOCK) on ch.ContentId = c.ContentId join HitWeight hw WITH (NOLOCK) on ch.HitWeightId = hw.HitWeightId join ContentType ct WITH (NOLOCK) on c.ContentTypeId = ct.ContentTypeId where ch.CreatedDate between @Then and @Now group by c.ForeignId , ct.ContentSource order by sum(ch.HitCount * hw.HitWeightMultiplier) desc END The stored proc reads from the table "ContentHit", which is a table that tracks when content on the site is clicked (it gets hit quite frequently - anything from 4 to 20 hits a minute). So its pretty clear that this table is the source of the problem. There is a stored proc that is called to add hit tracks to the ContentHit table, its pretty trivial, it just builds up a string from the params passed in, which involves a few selects from some lookup tables, followed by the main insert: BEGIN TRAN insert into [ContentHit] (ContentId, HitCount, HitWeightId, ContentHitComment) values (@ContentId, isnull(@HitCount,1), isnull(@HitWeightId,1), @ContentHitComment) COMMIT TRAN The ContentHit table has a clustered index on its ID column, and I've added another index on CreatedDate since that is used in the select. When I profile the issue, I see the Stored proc executes for exactly 30 seconds, then the SQL timeout exception occurs. If it makes a difference the web application using it is ASP.NET, and I'm using Subsonic (3) to execute these stored procs. Can someone please advise how best I can solve this problem? I don't care about reading dirty data... Thanks

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  • SSIS Transaction with Sql Transaction

    - by Mike
    I started with a package to make sure Transactions are working correctly. The package level transaction is set to Required. I have two Execute Sql Task, one deletes rows from a table and one does 1/0, to throw the error. Both task are set to supported transaction level and Serializable IsolationLevel. That works. Now when I replace my two sql task to two separate procedure calls, the first one, ChargeInterest, runs successful but the second one, PaymentProcess, fails always saying. [Execute SQL Task] Error: Executing the query "Exec [proc_xx_NotesReceivable_PaymentProcess] ..." failed with the following error: "Uncommittable transaction is detected at the end of the batch. The transaction is rolled back.". Possible failure reasons: Problems with the query, "ResultSet" property not set correctly, parameters not set correctly, or connection not established correctly. PaymentProcess being the second stored procedure. Both procedures have there own BEGIN, COMMIT AND ROLLBACKS inside the SP. I believe that the transactions are being successfully handed in the Charge Interest because I can run the following without issues or the dreaded you started with 0 and now have 1 transaction. EXEC [proc_XX_NotesReceivable_ChargeInterest] 'NR', 'M', 186, 300 EXEC [proc_XX_NotesReceivable_PaymentProcess] 'NR', 186, 300 --OR GO BEGIN TRAN EXEC [proc_XX_NotesReceivable_ChargeInterest] 'NR', 'M', 186, 300 EXEC [proc_XX_NotesReceivable_PaymentProcess] 'NR', 186, 300 ROLLBACK TRAN Now I have noticed that DTC does get kicked off in both instances? Why I am not sure because it is using the same connection. In the live example I can see the transaction get started but disappears if I put a breakpoint on the PreExecute event of the second stored procedure. What is the correct way to mingle SP transactions with SSIS transactions?

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  • SQL Server: preventing dirty reads in a stored procedure

    - by pcampbell
    Consider a SQL Server database and its two stored procs: *1. A proc that performs 3 important things in a transaction: Create a customer, call a sproc to perform another insert, and conditionally insert a third record with the new identity. BEGIN TRAN INSERT INTO Customer(CustName) (@CustomerName) SELECT @NewID = SCOPE_IDENTITY() EXEC CreateNewCustomerAccount @NewID, @CustomerPhoneNumber IF @InvoiceTotal > 100000 INSERT INTO PreferredCust(InvoiceTotal, CustID) VALUES (@InvoiceTotal, @NewID) COMMIT TRAN *2. A stored proc which polls the Customer table for new entries that don't have a related PreferredCust entry. The client app performs the polling by calling this stored proc every 500ms. A problem has arisen where the polling stored procedure has found an entry in the Customer table, and returned it as part of its results. The problem was that it has picked up that record, I am assuming, as part of a dirty read. The record ended up having an entry in PreferredCust later, and ended up creating a problem downstream. Question How can you explicitly prevent dirty reads by that second stored proc? The environment is SQL Server 2005 with the default configuration out of the box. No other locking hits are given in either of these stored procedures.

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  • Can a Snapshot transaction fail and only partially commit in a TransactionScope?

    - by Travis Brooks
    Greetings I stumbled onto a problem today that seems sort of impossible to me, but its happening...I'm calling some database code in c# that looks something like this: using(var tran = MyDataLayer.Transaction()) { MyDataLayer.ExecSproc(new SprocTheFirst(arg1, arg2)); MyDataLayer.CallSomethingThatEventuallyDoesLinqToSql(arg1, argEtc); tran.Commit(); } I've simplified this a bit for posting, but whats going on is MyDataLayer.Transaction() makes a TransactionScope with the IsolationLevel set to Snapshot and TransactionScopeOption set to Required. This code gets called hundreds of times a day, and almost always works perfectly. However after reviewing some data I discovered there are a handful of records created by "SprocTheFirst" but no corresponding data from "CallSomethingThatEventuallyDoesLinqToSql". The only way that records should exist in the tables I'm looking at is from SprocTheFirst, and its only ever called in this one function, so if its called and succeeded then I would expect CallSomethingThatEventuallyDoesLinqToSql would get called and succeed because its all in the same TransactionScope. Its theoretically possible that some other dev mucked around in the DB, but I don't think they have. We also log all exceptions, and I can find nothing unusual happening around the time that the records from SprocTheFirst were created. So, is it possible that a transaction, or more properly a declarative TransactionScope, with Snapshot isolation level can fail somehow and only partially commit?

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  • SQL Server race condition issue with range lock

    - by Freek
    I'm implementing a queue in SQL Server (please no discussions about this) and am running into a race condition issue. The T-SQL of interest is the following: set transaction isolation level serializable begin tran declare @RecordId int declare @CurrentTS datetime2 set @CurrentTS=CURRENT_TIMESTAMP select top 1 @RecordId=Id from QueuedImportJobs with (updlock) where Status=@Status and (LeaseTimeout is null or @CurrentTS>LeaseTimeout) order by Id asc if @@ROWCOUNT> 0 begin update QueuedImportJobs set LeaseTimeout = DATEADD(mi,5,@CurrentTS), LeaseTicket=newid() where Id=@RecordId select * from QueuedImportJobs where Id = @RecordId end commit tran RecordId is the PK and there is also an index on Status,LeaseTimeout. What I'm basically doing is select a record of which the lease happens to be expired, while simultaneously updating the lease time with 5 minutes and setting a new lease ticket. So the problem is that I'm getting deadlocks when I run this code in parallel using a couple of threads. I've debugged it up to the point where I found out that the update statement sometimes gets executing twice for the same record. Now, I was under the impression that the with (updlock) should prevent this (it also happens with xlock btw, not with tablockx). So it actually look like there is a RangeS-U and a RangeX-X lock on the same range of records, which ought to be impossible. So what am I missing? I'm thinking it might have something to do with the top 1 clause or that SQL Server does not know that where Id=@RecordId is actually in the locked range? Deadlock graph: Table schema (simplified):

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  • Assistance with CC Processing script

    - by JM4
    I am currently implementing a credit card processing script, most as provided by the merchant gateway. The code calls functions within a class and returns a string based on the response. The end php code I am using (details removed of course) with example information is: <?php $gw = new gwapi; $gw->setLogin("username", "password"); $gw->setBilling("John","Smith","Acme, Inc.","888","Suite 200", "Beverly Hills", "CA","77777","US","555-555-5555","555-555-5556","[email protected]", "www.example.com"); // "CA","90210","US","[email protected]"); $gw->setOrder("1234","Big Order",1, 2, "PO1234","65.192.14.10"); $r = $gw->doSale("1.00","4111111111111111","1010"); print $gw->responses['responsetext']; ?> where setlogin allows me to login, setbilling takes the sample consumer information, set order takes the order id and description, dosale takes the amount charged, cc number and exp date. when all the variables are sent validated then sent off for processing, a string is returned in the following format: response=1&responsetext=SUCCESS&authcode=123456&transactionid=23456&avsresponse=M&orderid=&type=sale&response_code=100 where: response = transaction approved or declined response text = textual response authcode = transaction authorization code transactionid = payment gateway tran id avsresponse = avs response code orderid = original order id passed in tran request response_code = numeric mapping of processor response I am trying to solve for the following: How do I take the data which is passed back and display it appropriately on the page - If the transaction failed or AVS code doesnt match my liking or something is wrong, an error is displayed to the consumer; if the transaction processed, they are taken to a completion page and the transaction id is sent in SESSION as output to the consumer If the response_code value matches a table of values, certain actions are taken, i.e. if code =100, take to success page, if code = 300 print specific error on original page to customer, etc.

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  • SQL SERVER – Summary of Month – Wait Type – Day 28 of 28

    - by pinaldave
    I am glad to announce that the month of Wait Types and Queues very successful. I am glad that it was very well received and there was great amount of participation from community. I am fortunate to have some of the excellent comments throughout the series. I want to dedicate this series to all the guest blogger – Jonathan, Jacob, Glenn, and Feodor for their kindness to take a participation in this series. Here is the complete list of the blog posts in this series. I enjoyed writing the series and I plan to continue writing similar series. Please offer your opinion. SQL SERVER – Introduction to Wait Stats and Wait Types – Wait Type – Day 1 of 28 SQL SERVER – Signal Wait Time Introduction with Simple Example – Wait Type – Day 2 of 28 SQL SERVER – DMV – sys.dm_os_wait_stats Explanation – Wait Type – Day 3 of 28 SQL SERVER – DMV – sys.dm_os_waiting_tasks and sys.dm_exec_requests – Wait Type – Day 4 of 28 SQL SERVER – Capturing Wait Types and Wait Stats Information at Interval – Wait Type – Day 5 of 28 SQL SERVER – CXPACKET – Parallelism – Usual Solution – Wait Type – Day 6 of 28 SQL SERVER – CXPACKET – Parallelism – Advanced Solution – Wait Type – Day 7 of 28 SQL SERVER – SOS_SCHEDULER_YIELD – Wait Type – Day 8 of 28 SQL SERVER – PAGEIOLATCH_DT, PAGEIOLATCH_EX, PAGEIOLATCH_KP, PAGEIOLATCH_SH, PAGEIOLATCH_UP – Wait Type – Day 9 of 28 SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28 SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28 SQL SERVER – PAGELATCH_DT, PAGELATCH_EX, PAGELATCH_KP, PAGELATCH_SH, PAGELATCH_UP – Wait Type – Day 12 of 28 SQL SERVER – FT_IFTS_SCHEDULER_IDLE_WAIT – Full Text – Wait Type – Day 13 of 28 SQL SERVER – BACKUPIO, BACKUPBUFFER – Wait Type – Day 14 of 28 SQL SERVER – LCK_M_XXX – Wait Type – Day 15 of 28 SQL SERVER – Guest Post – Jonathan Kehayias – Wait Type – Day 16 of 28 SQL SERVER – WRITELOG – Wait Type – Day 17 of 28 SQL SERVER – LOGBUFFER – Wait Type – Day 18 of 28 SQL SERVER – PREEMPTIVE and Non-PREEMPTIVE – Wait Type – Day 19 of 28 SQL SERVER – MSQL_XP – Wait Type – Day 20 of 28 SQL SERVER – Guest Posts – Feodor Georgiev – The Context of Our Database Environment – Going Beyond the Internal SQL Server Waits – Wait Type – Day 21 of 28 SQL SERVER – Guest Post – Jacob Sebastian – Filestream – Wait Types – Wait Queues – Day 22 of 28 SQL SERVER – OLEDB – Link Server – Wait Type – Day 23 of 28 SQL SERVER – 2000 – DBCC SQLPERF(waitstats) – Wait Type – Day 24 of 28 SQL SERVER – 2011 – Wait Type – Day 25 of 28 SQL SERVER – Guest Post – Glenn Berry – Wait Type – Day 26 of 28 SQL SERVER – Best Reference – Wait Type – Day 27 of 28 SQL SERVER – Summary of Month – Wait Type – Day 28 of 28 Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Optimization, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, SQLServer, T SQL, Technology

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  • Parsing Extended Events xml_deadlock_report

    - by Michael Zilberstein
    Jonathan Kehayias and Paul Randall posted more than a year ago great articles on how to monitor historical deadlocks using Extended Events system_health default trace. Both tried to fix on the fly the bug in xml output that caused failures in xml validation. Today I've found out that their version isn't bulletproof either. So here is the fixed one: SELECT CAST ( xest.target_data as XML ) xml_data , * INTO #ring_buffer_data FROM     sys.dm_xe_session_targets xest    INNER...(read more)

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  • Quirks in .NET – Part 3 Marshalling Numbers

    - by thycotic
    Kevin has posted about marshalling numbers in the 3rd part of his ongoing blog series.   Jonathan Cogley is the CEO of Thycotic Software, an agile software services and product development company based in Washington DC.  Secret Server is our flagship enterprise password management product.

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