linq query syntax - Page 465

EBS: OPP Out of memory issue...

- by ashish.shrivastava

FO Processor is little more hungry for memory compare to other Java process. If XSLT scalable option is not set and the same time your RTF template is not well optimized definitely you are going to hit Out of memory exception while working with large volume of data. If the memory requirement is not too bad, you can set the OOP Heap size using following SQL queries. Check the current OPP JVM Heap size using following SQL query SQL select DEVELOPER_PARAMETERS from FND_CP_SERVICES where SERVICE_ID = (select MANAGER_TYPE from FND_CONCURRENT_QUEUES where CONCURRENT_QUEUE_NAME = 'FNDCPOPP' DEVELOPER_PARAMETERS ----------------------------------------------------- J:oracle.apps.fnd.cp.gsf.GSMServiceController:-mx512m Set the JVM Heap size using following SQL query SQL update FND_CP_SERVICES set DEVELOPER_PARAMETERS = 'J:oracle.apps.fnd.cp.gsf.GSMServiceController:-mx2048m' where SERVICE_ID = (select MANAGER_TYPE from FND_CONCURRENT_QUEUES where CONCURRENT_QUEUE_NAME = 'FNDCPOPP'); SQLCommit; . You need to restart the Concurrent Manager to make it effective. If this does not resolve the issue, You need to optimize RTF template and set the XSLT scalable option true.

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Using LogParser - part 2

- by fatherjack

PersonAddress.csv SalesOrderDetail.tsv In part 1 of this series we downloaded and installed LogParser and used it to list data from a csv file. That was a good start and in this article we are going to see the different ways we can stream data and choose whether a whole file is selected. We are also going to take a brief look at what file types we can interrogate. If we take the query from part 1 and add a value for the output parameter as -o:datagrid so that the query becomes LOGPARSER "SELECT top 15 * FROM C:\LP\person_address.csv" -o:datagrid and run that we get a different result. A pop-up dialog that lets us view the results in a resizable grid. Notice that because we didn't specify the columns we wanted returned by LogParser (we used SELECT *) is has added two columns to the recordset - filename and rownumber. This behaviour can be very useful as we will see in future parts of this series. You can click Next 10 rows or All rows or close the datagrid once you are finished reviewing the data. You may have noticed that the files that I am working with are different file types - one is a csv (comma separated values) and the other is a tsv (tab separated values). If you want to convert a file from one to another then LogParser makes it incredibly simple. Rather than using 'datagrid' as the value for the output parameter, use 'csv': logparser "SELECT SalesOrderID, SalesOrderDetailID, CarrierTrackingNumber, OrderQty, ProductID, SpecialOfferID, UnitPrice, UnitPriceDiscount, LineTotal, rowguid, ModifiedDate into C:\Sales_SalesOrderDetail.csv FROM C:\Sales_SalesOrderDetail.tsv" -i:tsv -o:csv Those familiar with SQL will not have to make a very big leap of faith to making adjustments to the above query to filter in/out records from the source file. Lets get all the records from the same file where the Order Quantity (OrderQty) is more than 25: logparser "SELECT SalesOrderID, SalesOrderDetailID, CarrierTrackingNumber, OrderQty, ProductID, SpecialOfferID, UnitPrice, UnitPriceDiscount, LineTotal, rowguid, ModifiedDate into C:\LP\Sales_SalesOrderDetailOver25.csv FROM C:\LP\Sales_SalesOrderDetail.tsv WHERE orderqty > 25" -i:tsv -o:csv Or we could find all those records where the Order Quantity is equal to 25 and output it to an xml file: logparser "SELECT SalesOrderID, SalesOrderDetailID, CarrierTrackingNumber, OrderQty, ProductID, SpecialOfferID, UnitPrice, UnitPriceDiscount, LineTotal, rowguid, ModifiedDate into C:\LP\Sales_SalesOrderDetailEq25.xml FROM C:\LP\Sales_SalesOrderDetail.tsv WHERE orderqty = 25" -i:tsv -o:xml All the standard comparison operators are to be found in LogParser; >, <, =, LIKE, BETWEEN, OR, NOT, AND. Input and Output file formats. LogParser has a pretty impressive list of file formats that it can parse and a good selection of output formats that will let you generate output in a format that is useable for whatever process or application you may be using. From any of these To any of these IISW3C: parses IIS log files in the W3C Extended Log File Format. NAT: formats output records as readable tabulated columns. IIS: parses IIS log files in the Microsoft IIS Log File Format. CSV: formats output records as comma-separated values text. BIN: parses IIS log files in the Centralized Binary Log File Format. TSV: formats output records as tab-separated or space-separated values text. IISODBC: returns database records from the tables logged to by IIS when configured to log in the ODBC Log Format. XML: formats output records as XML documents. HTTPERR: parses HTTP error log files generated by Http.sys. W3C: formats output records in the W3C Extended Log File Format. URLSCAN: parses log files generated by the URLScan IIS filter. TPL: formats output records following user-defined templates. CSV: parses comma-separated values text files. IIS: formats output records in the Microsoft IIS Log File Format. TSV: parses tab-separated and space-separated values text files. SQL: uploads output records to a table in a SQL database. XML: parses XML text files. SYSLOG: sends output records to a Syslog server. W3C: parses text files in the W3C Extended Log File Format. DATAGRID: displays output records in a graphical user interface. NCSA: parses web server log files in the NCSA Common, Combined, and Extended Log File Formats. CHART: creates image files containing charts. TEXTLINE: returns lines from generic text files. TEXTWORD: returns words from generic text files. EVT: returns events from the Windows Event Log and from Event Log backup files (.evt files). FS: returns information on files and directories. REG: returns information on registry values. ADS: returns information on Active Directory objects. NETMON: parses network capture files created by NetMon. ETW: parses Enterprise Tracing for Windows trace log files and live sessions. COM: provides an interface to Custom Input Format COM Plugins. So, you can query data from any of the types on the left and really easily get it into a format where it is ready for analysis by other tools. To a DBA or network Administrator with an enquiring mind this is a treasure trove. In part 3 we will look at working with multiple sources and specifically outputting to SQL format. See you there!

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CQRS – Questions and Concerns

- by Dylan Smith

I’ve been doing a lot of learning on CQRS and Event Sourcing over the last little while and I have a number of questions that I haven’t been able to answer. 1. What is the benefit of CQRS when compared to a typical DDD architecture that uses Event Sourcing and properly captures intent and behavior via verb-based commands? (other than Scalability) 2. When using CQRS what do you do with complex query-based logic? I’m going to elaborate on #1 in this blog post and I’ll do a follow-up post on #2. I watched through Greg Young’s video on the business benefits of CQRS + Event Sourcing and first let me say that I thought it was an excellent presentation that really drives home a lot of the benefits to this approach to architecture (I watched it twice in a row I enjoyed it so much!). But it didn’t answer some of my questions fully (I wish I had been there to ask these of Greg in person!). So let me pick apart some of the points he makes and how they relate to my first question above. I’m completely sold on the idea of event sourcing and have a clear understanding of the benefits that it brings to the table, so I’m not going to question that. But you can use event sourcing without going to a CQRS architecture, so my main question is around the benefits of CQRS + Event Sourcing vs Event Sourcing + Typical DDD architecture Architecture with Event Sourcing + Commands on Left, CQRS on Right Greg talks about how the stereotypical architecture doesn’t support DDD, but is that only because his diagram shows DTO’s coming up from the client. If we use the same diagram but allow the client to send commands doesn’t that remove a lot of the arguments that Greg makes against the stereotypical architecture? We can now introduce verbs into the system. We can capture intent now (storing it still requires event sourcing, but you can implement event sourcing without doing CQRS) We can create a rich domain model (as opposed to an anemic domain model) Scalability is obviously a benefit that CQRS brings to the table, but like Greg says, very few of the systems we create truly need significant scalability Greg talks about the ability to scale your development efforts. He says CQRS allows you to split the system into 3 parts (Client, Domain/Commands, Reads) and assign 3 teams of developers to work on them in parallel; letting you scale your development efforts by 3x with nearly linear gains. But in the stereotypical architecture don’t you already have 2 separate modules that you can split your dev efforts between: The client that sends commands/queries and receives DTO’s, and the Domain which accepts commands/queries, and generates events/DTO’s. If this is true it’s not really a 3x scaling you achieve with CQRS but merely a 1.5x scaling which while great doesn’t sound nearly as dramatic (“I can do it with 10 devs in 12 months – let me hire 5 more and we can have it done in 8 months”). Making the Query side “stupid simple” such that you can assign junior developers (or even outsource it) sounds like a valid benefit, but I have some concerns over what you do with complex query-based logic/behavior. I’m going to go into more detail on this in a follow-up blog post shortly. He also seemed to focus on how “stupid-simple” it is doing queries against the de-normalized data store, but I imagine there is still significant complexity in the event handlers that interpret the events and apply them to the de-normalized tables. It sounds like Greg suggests that because we’re doing CQRS that allows us to apply Event Sourcing when we otherwise wouldn’t be able to (~33:30 in the video). I don’t believe this is true. I don’t see why you wouldn’t be able to apply Event Sourcing without separating out the Commands and Queries. The queries would just operate against the domain model instead of the database. But you’d still get the benefits of Event Sourcing. Without CQRS the queries would only be able to operate against the current state rather than the event history, but even in CQRS the domain behaviors can only operate against the current state and I don’t see that being a big limiting factor. If some query needs to operate against something that is not captured by the current state you would just have to update the domain model to capture that information (no different than if that statement were made about a Command under CQRS). Some of the benefits I do see being applicable are that your domain model might end up being simpler/smaller since it only needs to represent the state needed to process commands and not worry about the reads (like the Deactivate Inventory Item and associated comment example that Greg provides). And also commands that can be handled in a Transaction Script style manner by the command handler simply generating events and not touching the domain model. It also makes it easier for your senior developers to focus on the command behavior and ignore the queries, which is usually going to be a better use of their time. And of course scalability. If anybody out there has any thoughts on this and can help educate me further, please either leave a comment or feel free to get in touch with me via email:

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Performance considerations for common SQL queries

- by Jim Giercyk

Originally posted on: http://geekswithblogs.net/NibblesAndBits/archive/2013/10/16/performance-considerations-for-common-sql-queries.aspxSQL offers many different methods to produce the same results. There is a never-ending debate between SQL developers as to the “best way” or the “most efficient way” to render a result set. Sometimes these disputes even come to blows….well, I am a lover, not a fighter, so I decided to collect some data that will prove which way is the best and most efficient. For the queries below, I downloaded the test database from SQLSkills: http://www.sqlskills.com/sql-server-resources/sql-server-demos/. There isn’t a lot of data, but enough to prove my point: dbo.member has 10,000 records, and dbo.payment has 15,554. Our result set contains 6,706 records. The following queries produce an identical result set; the result set contains aggregate payment information for each member who has made more than 1 payment from the dbo.payment table and the first and last name of the member from the dbo.member table. /*************/ /* Sub Query */ /*************/ SELECT a.[Member Number] , m.lastname , m.firstname , a.[Number Of Payments] , a.[Average Payment] , a.[Total Paid] FROM ( SELECT member_no 'Member Number' , AVG(payment_amt) 'Average Payment' , SUM(payment_amt) 'Total Paid' , COUNT(Payment_No) 'Number Of Payments' FROM dbo.payment GROUP BY member_no HAVING COUNT(Payment_No) > 1 ) a JOIN dbo.member m ON a.[Member Number] = m.member_no /***************/ /* Cross Apply */ /***************/ SELECT ca.[Member Number] , m.lastname , m.firstname , ca.[Number Of Payments] , ca.[Average Payment] , ca.[Total Paid] FROM dbo.member m CROSS APPLY ( SELECT member_no 'Member Number' , AVG(payment_amt) 'Average Payment' , SUM(payment_amt) 'Total Paid' , COUNT(Payment_No) 'Number Of Payments' FROM dbo.payment WHERE member_no = m.member_no GROUP BY member_no HAVING COUNT(Payment_No) > 1 ) ca /********/ /* CTEs */ /********/ ; WITH Payments AS ( SELECT member_no 'Member Number' , AVG(payment_amt) 'Average Payment' , SUM(payment_amt) 'Total Paid' , COUNT(Payment_No) 'Number Of Payments' FROM dbo.payment GROUP BY member_no HAVING COUNT(Payment_No) > 1 ), MemberInfo AS ( SELECT p.[Member Number] , m.lastname , m.firstname , p.[Number Of Payments] , p.[Average Payment] , p.[Total Paid] FROM dbo.member m JOIN Payments p ON m.member_no = p.[Member Number] ) SELECT * FROM MemberInfo /************************/ /* SELECT with Grouping */ /************************/ SELECT p.member_no 'Member Number' , m.lastname , m.firstname , COUNT(Payment_No) 'Number Of Payments' , AVG(payment_amt) 'Average Payment' , SUM(payment_amt) 'Total Paid' FROM dbo.payment p JOIN dbo.member m ON m.member_no = p.member_no GROUP BY p.member_no , m.lastname , m.firstname HAVING COUNT(Payment_No) > 1 We can see what is going on in SQL’s brain by looking at the execution plan. The Execution Plan will demonstrate which steps and in what order SQL executes those steps, and what percentage of batch time each query takes. SO….if I execute all 4 of these queries in a single batch, I will get an idea of the relative time SQL takes to execute them, and how it renders the Execution Plan. We can settle this once and for all. Here is what SQL did with these queries: Not only did the queries take the same amount of time to execute, SQL generated the same Execution Plan for each of them. Everybody is right…..I guess we can all finally go to lunch together! But wait a second, I may not be a fighter, but I AM an instigator. Let’s see how a table variable stacks up. Here is the code I executed: /********************/ /* Table Variable */ /********************/ DECLARE @AggregateTable TABLE ( member_no INT , AveragePayment MONEY , TotalPaid MONEY , NumberOfPayments MONEY ) INSERT @AggregateTable SELECT member_no 'Member Number' , AVG(payment_amt) 'Average Payment' , SUM(payment_amt) 'Total Paid' , COUNT(Payment_No) 'Number Of Payments' FROM dbo.payment GROUP BY member_no HAVING COUNT(Payment_No) > 1 SELECT at.member_no 'Member Number' , m.lastname , m.firstname , at.NumberOfPayments 'Number Of Payments' , at.AveragePayment 'Average Payment' , at.TotalPaid 'Total Paid' FROM @AggregateTable at JOIN dbo.member m ON m.member_no = at.member_no In the interest of keeping things in groupings of 4, I removed the last query from the previous batch and added the table variable query. Here’s what I got: Since we first insert into the table variable, then we read from it, the Execution Plan renders 2 steps. BUT, the combination of the 2 steps is only 22% of the batch. It is actually faster than the other methods even though it is treated as 2 separate queries in the Execution Plan. The argument I often hear against Table Variables is that SQL only estimates 1 row for the table size in the Execution Plan. While this is true, the estimate does not come in to play until you read from the table variable. In this case, the table variable had 6,706 rows, but it still outperformed the other queries. People argue that table variables should only be used for hash or lookup tables. The fact is, you have control of what you put IN to the variable, so as long as you keep it within reason, these results suggest that a table variable is a viable alternative to sub-queries. If anyone does volume testing on this theory, I would be interested in the results. My suspicion is that there is a breaking point where efficiency goes down the tubes immediately, and it would be interesting to see where the threshold is. Coding SQL is a matter of style. If you’ve been around since they introduced DB2, you were probably taught a little differently than a recent computer science graduate. If you have a company standard, I strongly recommend you follow it. If you do not have a standard, generally speaking, there is no right or wrong answer when talking about the efficiency of these types of queries, and certainly no hard-and-fast rule. Volume and infrastructure will dictate a lot when it comes to performance, so your results may vary in your environment. Download the database and try it!

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Troubleshooting High-CPU Utilization for SQL Server

- by Susantha Bathige

The objective of this FAQ is to outline the basic steps in troubleshooting high CPU utilization on a server hosting a SQL Server instance. The first and the most common step if you suspect high CPU utilization (or are alerted for it) is to login to the physical server and check the Windows Task Manager. The Performance tab will show the high utilization as shown below: Next, we need to determine which process is responsible for the high CPU consumption. The Processes tab of the Task Manager will show this information: Note that to see all processes you should select Show processes from all user. In this case, SQL Server (sqlserver.exe) is consuming 99% of the CPU (a normal benchmark for max CPU utilization is about 50-60%). Next we examine the scheduler data. Scheduler is a component of SQLOS which evenly distributes load amongst CPUs. The query below returns the important columns for CPU troubleshooting. Note – if your server is under severe stress and you are unable to login to SSMS, you can use another machine’s SSMS to login to the server through DAC – Dedicated Administrator Connection (see http://msdn.microsoft.com/en-us/library/ms189595.aspx for details on using DAC) SELECT scheduler_id ,cpu_id ,status ,runnable_tasks_count ,active_workers_count ,load_factor ,yield_count FROM sys.dm_os_schedulers WHERE scheduler_id See below for the BOL definitions for the above columns. scheduler_id – ID of the scheduler. All schedulers that are used to run regular queries have ID numbers less than 1048576. Those schedulers that have IDs greater than or equal to 1048576 are used internally by SQL Server, such as the dedicated administrator connection scheduler. cpu_id – ID of the CPU with which this scheduler is associated. status – Indicates the status of the scheduler. runnable_tasks_count – Number of workers, with tasks assigned to them that are waiting to be scheduled on the runnable queue. active_workers_count – Number of workers that are active. An active worker is never preemptive, must have an associated task, and is either running, runnable, or suspended. current_tasks_count - Number of current tasks that are associated with this scheduler. load_factor – Internal value that indicates the perceived load on this scheduler. yield_count – Internal value that is used to indicate progress on this scheduler. Now to interpret the above data. There are four schedulers and each assigned to a different CPU. All the CPUs are ready to accept user queries as they all are ONLINE. There are 294 active tasks in the output as per the current_tasks_count column. This count indicates how many activities currently associated with the schedulers. When a task is complete, this number is decremented. The 294 is quite a high figure and indicates all four schedulers are extremely busy. When a task is enqueued, the load_factor value is incremented. This value is used to determine whether a new task should be put on this scheduler or another scheduler. The new task will be allocated to less loaded scheduler by SQLOS. The very high value of this column indicates all the schedulers have a high load. There are 268 runnable tasks which mean all these tasks are assigned a worker and waiting to be scheduled on the runnable queue. The next step is to identify which queries are demanding a lot of CPU time. The below query is useful for this purpose (note, in its current form, it only shows the top 10 records). SELECT TOP 10 st.text ,st.dbid ,st.objectid ,qs.total_worker_time ,qs.last_worker_time ,qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC This query as total_worker_time as the measure of CPU load and is in descending order of the total_worker_time to show the most expensive queries and their plans at the top: Note the BOL definitions for the important columns: total_worker_time - Total amount of CPU time, in microseconds, that was consumed by executions of this plan since it was compiled. last_worker_time - CPU time, in microseconds, that was consumed the last time the plan was executed. I re-ran the same query again after few seconds and was returned the below output. After few seconds the SP dbo.TestProc1 is shown in fourth place and once again the last_worker_time is the highest. This means the procedure TestProc1 consumes a CPU time continuously each time it executes. In this case, the primary cause for high CPU utilization was a stored procedure. You can view the execution plan by clicking on query_plan column to investigate why this is causing a high CPU load. I have used SQL Server 2008 (SP1) to test all the queries used in this article.

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Alert visualization recipe: Get out your blender, drop in some sp_send_dbmail, Google Charts API, add your favorite colors and sprinkle with html. Blend till it’s smooth and looks pretty enough to taste.

- by Maria Zakourdaev

I really like database monitoring. My email inbox have a constant flow of different types of alerts coming from our production servers with all kinds of information, sometimes more useful and sometimes less useful. Usually database alerts look really simple, it’s usually a plain text email saying “Prod1 Database data file on Server X is 80% used. You’d better grow it manually before some query triggers the AutoGrowth process”. Imagine you could have received email like the one below. In addition to the alert description it could have also included the the database file growth chart over the past 6 months. Wouldn’t it give you much more information whether the data growth is natural or extreme? That’s truly what data visualization is for. Believe it or not, I have sent the graph below from SQL Server stored procedure without buying any additional data monitoring/visualization tool. Would you like to visualize your database alerts like I do? Then like myself, you’d love the Google Charts. All you need to know is a little HTML and have a mail profile configured on your SQL Server instance regardless of the SQL Server version. First of all, I hope you know that the sp_send_dbmail procedure has a great parameter @body_format = ‘HTML’, which allows us to send rich and colorful messages instead of boring black and white ones. All that we need is to dynamically create HTML code. This is how, for instance, you can create a table and populate it with some data: DECLARE @html varchar(max) SET @html = '<html>' + '<H3><font id="Text" style='color: Green;'>Top Databases: </H3>' + '<table border="1" bordercolor="#3300FF" style='background-color:#DDF8CC' width='70%' cellpadding='3' cellspacing='3'>' + '<tr><font color="Green"><th>Database Name</th><th>Size</th><th>Physical Name</th></tr>' + CAST( (SELECT TOP 10 td = name,'', td = size * 8/1024 ,'', td = physical_name FROM sys.master_files ORDER BY size DESC FOR XML PATH ('tr'),TYPE ) AS VARCHAR(MAX)) + '</table>' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Top databases', @body = @html, @body_format = 'HTML' This is the result: If you want to add more visualization effects, you can use Google Charts Tools https://google-developers.appspot.com/chart/interactive/docs/index which is a free and rich library of data visualization charts, they’re also easy to populate and embed. There are two versions of the Google Charts Image based charts: https://google-developers.appspot.com/chart/image/docs/gallery/chart_gall This is an old version, it’s officially deprecated although it will be up for a next few years or so. I really enjoy using this one because it can be viewed within the email body. For mobile devices you need to change the “Load remote images” property in your email application configuration. Charts based on JavaScript classes: https://google-developers.appspot.com/chart/interactive/docs/gallery This API is newer, with rich and highly interactive charts, and it’s much more easier to understand and configure. The only downside of it is that they cannot be viewed within the email body. Outlook, Gmail and many other email clients, as part of their security policy, do not run any JavaScript that’s placed within the email body. However, you can still enjoy this API by sending the report as an email attachment. Here is an example of the old version of Google Charts API, sending the same top databases report as in the previous example but instead of a simple table, this script is using a pie chart right from the T-SQL code DECLARE @html varchar(8000) DECLARE @Series varchar(800),@Labels varchar(8000),@Legend varchar(8000); SET @Series = ''; SET @Labels = ''; SET @Legend = ''; SELECT TOP 5 @Series = @Series + CAST(size * 8/1024 as varchar) + ',', @Labels = @Labels +CAST(size * 8/1024 as varchar) + 'MB'+'|', @Legend = @Legend + name + '|' FROM sys.master_files ORDER BY size DESC SELECT @Series = SUBSTRING(@Series,1,LEN(@Series)-1), @Labels = SUBSTRING(@Labels,1,LEN(@Labels)-1), @Legend = SUBSTRING(@Legend,1,LEN(@Legend)-1) SET @html = '<H3><font color="Green"> '+@@ServerName+' top 5 databases : </H3>'+ '<br>'+ '<img src="http://chart.apis.google.com/chart?'+ 'chf=bg,s,DDF8CC&'+ 'cht=p&'+ 'chs=400x200&'+ 'chco=3072F3|7777CC|FF9900|FF0000|4A8C26&'+ 'chd=t:'+@Series+'&'+ 'chl='+@Labels+'&'+ 'chma=0,0,0,0&'+ 'chdl='+@Legend+'&'+ 'chdlp=b"'+ 'alt="'+@@ServerName+' top 5 databases" />' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject = 'Top databases', @body = @html, @body_format = 'HTML' This is what you get. Isn’t it great? Chart parameters reference: chf Gradient fill bg - backgroud ; s- solid cht chart type ( p - pie) chs chart size width/height chco series colors chd chart data string 1,2,3,2 chl pir chart labels a|b|c|d chma chart margins chdl chart legend a|b|c|d chdlp chart legend text b - bottom of chart Line graph implementation is also really easy and powerful DECLARE @html varchar(max) DECLARE @Series varchar(max) DECLARE @HourList varchar(max) SET @Series = ''; SET @HourList = ''; SELECT @HourList = @HourList + SUBSTRING(CONVERT(varchar(13),last_execution_time,121), 12,2) + '|' , @Series = @Series + CAST( COUNT(1) as varchar) + ',' FROM sys.dm_exec_query_stats s CROSS APPLY sys.dm_exec_sql_text(plan_handle) t WHERE last_execution_time > = getdate()-1 GROUP BY CONVERT(varchar(13),last_execution_time,121) ORDER BY CONVERT(varchar(13),last_execution_time,121) SET @Series = SUBSTRING(@Series,1,LEN(@Series)-1) SET @html = '<img src="http://chart.apis.google.com/chart?'+ 'chco=CA3D05,87CEEB&'+ 'chd=t:'+@Series+'&'+ 'chds=1,350&'+ 'chdl= Proc executions from cache&'+ 'chf=bg,s,1F1D1D|c,lg,0,363433,1.0,2E2B2A,0.0&'+ 'chg=25.0,25.0,3,2&'+ 'chls=3|3&'+ 'chm=d,CA3D05,0,-1,12,0|d,FFFFFF,0,-1,8,0|d,87CEEB,1,-1,12,0|d,FFFFFF,1,-1,8,0&'+ 'chs=600x450&'+ 'cht=lc&'+ 'chts=FFFFFF,14&'+ 'chtt=Executions for from' +(SELECT CONVERT(varchar(16),min(last_execution_time),121) FROM sys.dm_exec_query_stats WHERE last_execution_time > = getdate()-1) +' till '+ +(SELECT CONVERT(varchar(16),max(last_execution_time),121) FROM sys.dm_exec_query_stats) + '&'+ 'chxp=1,50.0|4,50.0&'+ 'chxs=0,FFFFFF,12,0|1,FFFFFF,12,0|2,FFFFFF,12,0|3,FFFFFF,12,0|4,FFFFFF,14,0&'+ 'chxt=y,y,x,x,x&'+ 'chxl=0:|1|350|1:|N|2:|'+@HourList+'3:|Hour&'+ 'chma=55,120,0,0" alt="" />' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Daily number of executions', @body = @html, @body_format = 'HTML' Chart parameters reference: chco series colors chd series data chds scale format chdl chart legend chf background fills chg grid line chls line style chm line fill chs chart size cht chart type chts chart style chtt chart title chxp axis label positions chxs axis label styles chxt axis tick mark styles chxl axis labels chma chart margins If you don’t mind to get your charts as an email attachment, you can enjoy the Java based Google Charts which are even easier to configure, and have much more advanced graphics. In the example below, the sp_send_email procedure uses the parameter @query which will be executed at the time that sp_send_dbemail is executed and the HTML result of this execution will be attached to the email. DECLARE @html varchar(max),@query varchar(max) DECLARE @SeriesDBusers varchar(800); SET @SeriesDBusers = ''; SELECT @SeriesDBusers = @SeriesDBusers + ' ["'+DB_NAME(r.database_id) +'", ' +cast(count(1) as varchar)+'],' FROM sys.dm_exec_requests r GROUP BY DB_NAME(database_id) ORDER BY count(1) desc; SET @SeriesDBusers = SUBSTRING(@SeriesDBusers,1,LEN(@SeriesDBusers)-1) SET @query = ' PRINT '' <html> <head> <script type="text/javascript" src="https://www.google.com/jsapi"></script> <script type="text/javascript"> google.load("visualization", "1", {packages:["corechart"]}); google.setOnLoadCallback(drawChart); function drawChart() { var data = google.visualization.arrayToDataTable([ ["Database Name", "Active users"], '+@SeriesDBusers+' ]); var options = { title: "Active users", pieSliceText: "value" }; var chart = new google.visualization.PieChart(document.getElementById("chart_div")); chart.draw(data, options); }; </script> </head> <body> <table> <tr><td> <div id="chart_div" style='width: 800px; height: 300px;'></div> </td></tr> </table> </body> </html> ''' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Active users', @body = @html, @body_format = 'HTML', @query = @Query, @attach_query_result_as_file = 1, @query_attachment_filename = 'Results.htm' After opening the email attachment in the browser you are getting this kind of report: In fact, the above is not only for database alerts. It can be used for applicative reports if you need high levels of customization that you cannot achieve using standard methods like SSRS. If you need more information on how to customize the charts, you can try the following: Image Based Charts wizard https://google-developers.appspot.com/chart/image/docs/chart_wizard Live Image Charts Playground https://google-developers.appspot.com/chart/image/docs/chart_playground Image Based Charts Parameters List https://google-developers.appspot.com/chart/image/docs/chart_params Java Script Charts Playground https://code.google.com/apis/ajax/playground/?type=visualization Use the above examples as a starting point for your procedures and I’d be more than happy to hear of your implementations of the above techniques. Yours, Maria

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Google Webmasters tools search queries position

- by user1592845

In my website account on Google Webmasters tools, some search queries show average position 1.0. This make me understand that it should be displayed as the first result. When I search for this query I could not able to find my website's page listed as a result?! In some cases I navigate to the third or the fourth result page and I could not find it! What are factors that make my website loss its average position for a search query? and when Google webmasters tools updates their values?

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Partition Wise Joins II

- by jean-pierre.dijcks

One of the things that I did not talk about in the initial partition wise join post was the effect it has on resource allocation on the database server. When Oracle applies a different join method - e.g. not PWJ - what you will see in SQL Monitor (in Enterprise Manager) or in an Explain Plan is a set of producers and a set of consumers. The producers scan the tables in the the join. If there are two tables the producers first scan one table, then the other. The producers thus provide data to the consumers, and when the consumers have the data from both scans they do the join and give the data to the query coordinator. Now that behavior means that if you choose a degree of parallelism of 4 to run such query with, Oracle will allocate 8 parallel processes. Of these 8 processes 4 are producers and 4 are consumers. The consumers only actually do work once the producers are fully done with scanning both sides of the join. In the plan above you can see that the producers access table SALES [line 11] and then do a PX SEND [line 9]. That is the producer set of processes working. The consumers receive that data [line 8] and twiddle their thumbs while the producers go on and scan CUSTOMERS. The producers send that data to the consumer indicated by PX SEND [line 5]. After receiving that data [line 4] the consumers do the actual join [line 3] and give the data to the QC [line 2]. BTW, the myth that you see twice the number of processes due to the setting PARALLEL_THREADS_PER_CPU=2 is obviously not true. The above is why you will see 2 times the processes of the DOP. In a PWJ plan the consumers are not present. Instead of producing rows and giving those to different processes, a PWJ only uses a single set of processes. Each process reads its piece of the join across the two tables and performs the join. The plan here is notably different from the initial plan. First of all the hash join is done right on top of both table scans [line 8]. This query is a little more complex than the previous so there is a bit of noise above that bit of info, but for this post, lets ignore that (sort stuff). The important piece here is that the PWJ plan typically will be faster and from a PX process number / resources typically cheaper. You may want to look out for those plans and try to get those to appear a lot... CREDITS: credits for the plans and some of the info on the plans go to Maria, as she actually produced these plans and is the expert on plans in general... You can see her talk about explaining the explain plan and other optimizer stuff over here: ODTUG in Washington DC, June 27 - July 1 On the Optimizer blog At OpenWorld in San Francisco, September 19 - 23 Happy joining and hope to see you all at ODTUG and OOW...

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DBCC MEMUSAGE in 2005/8 ?

- by steveh99999

I used to like using undocumented command DBCC MEMUSAGE in SQL 2000 to see which tables were using space in SQL data cache. In SQL 2005, this command is not longer present. Instead a DMV – sys.dm_os_buffer_descriptors – can be used to display data cache contents, but this doesn’t quite give you the same output as DBCC MEMUSAGE. I’m also aware that you can use Quest’s spotlight tool to view a summary of data cache contents. Using this post by Umachandar Jayachandran of Microsoft, I was able to create the following equivalent for SQL 2005/8. I’ve wrapped Umachandar’s original query in a CTE to produce summary information :- ;WITH memusage_CTE AS (SELECT bd.database_id, bd.file_id, bd.page_id, bd.page_type , COALESCE(p1.object_id, p2.object_id) AS object_id , COALESCE(p1.index_id, p2.index_id) AS index_id , bd.row_count, bd.free_space_in_bytes, CONVERT(TINYINT,bd.is_modified) AS 'DirtyPage' FROM sys.dm_os_buffer_descriptors AS bd JOIN sys.allocation_units AS au ON au.allocation_unit_id = bd.allocation_unit_id OUTER APPLY ( SELECT TOP(1) p.object_id, p.index_id FROM sys.partitions AS p WHERE p.hobt_id = au.container_id AND au.type IN (1, 3) ) AS p1 OUTER APPLY ( SELECT TOP(1) p.object_id, p.index_id FROM sys.partitions AS p WHERE p.partition_id = au.container_id AND au.type = 2 ) AS p2 WHERE bd.database_id = DB_ID() AND bd.page_type IN ('DATA_PAGE', 'INDEX_PAGE') ) SELECT TOP 20 DB_NAME(database_id) AS 'Database',OBJECT_NAME(object_id,database_id) AS 'Table Name', index_id,COUNT(*) AS 'Pages in Cache', SUM(dirtyPage) AS 'Dirty Pages' FROM memusage_CTE GROUP BY database_id, object_id, index_id ORDER BY COUNT(*) DESC I’m not 100% happy with the results of the above query however… I’ve noticed that on a busy BizTalk messageBox database it will return information on pages that contain GHOST rows – . ie where data has already been deleted but has yet to be cleaned-up by a background process – I’m need to investigate further why cache on this server apparently contains so much GHOST data… For more information on the background ghost cleanup process, see this article by Paul Randall. However, I think the results of this query should still be of interest to a DBA. I have another post to come shortly regarding an example I encountered where this information proved useful to me… I notice in SQL 2008, sys.dm_os_buffer_descriptors gained an extra column – numa_mode – I’m interested to see how this is populated and how useful this column can be on a NUMA-enabled system. I’m assuming in theory you could use this column to help analyse how your tables are spread across Numa-enabled data-cache ?

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SPARC M7 Chip - 32 cores - Mind Blowing performance

- by Angelo-Oracle

The M7 Chip Oracle just announced its Next Generation Processor at the HotChips HC26 conference. As the Tech Lead in our Systems Division's Partner group, I had a front row seat to the extraordinary price performance advantage of Oracle current T5 and M6 based systems. Partner after partner tested these systems and were impressed with it performance. Just read some of the quotes to see what our partner has been saying about our hardware. We just announced our next generation processor, the M7. This has 32 cores (up from 16-cores in T5 and 12-cores in M6). With 20 nm technology this is our most advanced processor. The processor has more cores than anything else in the industry today. After the Sun acquisition Oracle has released 5 processors in 4 years and this is the 6th. The S4 core The M7 is built using the foundation of the S4 core. This is the next generation core technology. Like its predecessor, the S4 has 8 dynamic threads. It increases the frequency while maintaining the Pipeline depth. Each core has its own fine grain power estimator that keeps the core within its power envelop in 250 nano-sec granularity. Each core also includes Software in Silicon features for Application Acceleration Support. Each core includes features to improve Application Data Integrity, with almost no performance loss. The core also allows using part of the Virtual Address to store meta-data. User-Level Synchronization Instructions are also part of the S4 core. Each core has 16 KB Instruction and 16 KB Data L1 cache. The Core Clusters The cores on the M7 chip are organized in sets of 4-core clusters. The core clusters share L2 cache. All four cores in the complex share 256 KB of 4 way set associative L2 Instruction Cache, with over 1/2 TB/s of throughput. Two cores share 256 KB of 8 way set associative L2 Data Cache, with over 1/2 TB/s of throughput. With this innovative Core Cluster architecture, the M7 doubles core execution bandwidth. to maximize per-thread performance. The Chip Each M7 chip has 8 sets of these core-clusters. The chip has 64 MB on-chip L3 cache. This L3 caches is shared among all the cores and is partitioned into 8 x 8 MB chunks. Each chunk is 8-way set associative cache. The aggregate bandwidth for the L3 cache on the chip is over 1.6TB/s. Each chip has 4 DDR4 memory controllers and can support upto 16 DDR4 DIMMs, allowing for 2 TB of RAM/chip. The chip also includes 4 internal links of PCIe Gen3 I/O controllers. Each chip has 7 coherence links, allowing for 8 of these chips to be connected together gluelessly. Also 32 of these chips can be connected in an SMP configuration. A potential system with 32 chips will have 1024 cores and 8192 threads and 64 TB of RAM. Software in Silicon The M7 chip has many built in Application Accelerators in Silicon. These features will be exposed to our Software partners using the SPARC Accelerator Program. The M7 has built-in logic to decompress data at the speed of memory access. This means that applications can directly work on compressed data in memory increasing the data access rates. The VA Masking feature allows the use of part of the virtual address to store meta-data. Realtime Application Data Integrity The Realtime Application Data Integrity feature helps applications safeguard against invalid, stale memory reference and buffer overflows. The first 4-bits if the Pointer can be used to store a version number and this version number is also maintained in the memory & cache lines. When a pointer accesses memory the hardware checks to make sure the two versions match. A SEGV signal is raised when there is a mismatch. This feature can be used by the Database, applications and the OS. M7 Database In-Memory Query Accelerator The M7 chip also includes a In-Silicon Query Engines. These accelerate tasks that work on In-Memory Columnar Vectors. Oracle In-Memory options stores data in Column Format. The M7 Query Engine can speed up In-Memory Format Conversion, Value and Range Comparisons and Set Membership lookups. This engine can work on Compressed data - this means not only are we accelerating the query performance but also increasing the memory bandwidth for queries. SPARC Accelerated Program At the Hotchips conference we also introduced the SPARC Accelerated Program to provide our partners and third part developers access to all the goodness of the M7's SPARC Application Acceleration features. Please get in touch with us if you are interested in knowing more about this program.

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database api commands

- by Rahul Mehta

As I am developing database api for a project. I am developing commands for getting data from database. e.g. i have one gib table so command for that is getgib name alias limit fields if user pass the name e.g. getgib rahul than it will return all the gib data whose name is like rahul. if alias is given than it will return the all the gib owned by the user whose alias(userid) given . So i want to design the commands. limit : is to limit the record in query, fields : is the extra fields i want to add in the select query . so as now commands are set but now Question 1 : i want the gibs by the gibid , so how to make this or any suggestion to improve my command is welcome. Question 2 : if user don't want to specify the name , and he want only the gibs by providing alias then at this what separator at the place of name i should used.

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Querying Visual Studio project files using T-SQL and Powershell

- by jamiet

Earlier today I had a need to get some information out of a Visual Studio project file and in this blog post I’m going to share a couple of ways of going about that because I’m pretty sure I won’t be the only person that ever wants to do this. The specific problem I was trying to solve was finding out how many objects in my database project (i.e. in my .dbproj file) had any warnings suppressed but the techniques discussed below will work pretty well for any Visual Studio project file because every such file is simply an XML document, hence it can be queried by anything that can query XML documents. Ever heard the phrase “when all you’ve got is hammer everything looks like a nail”? Well that’s me with querying stuff – if I can write SQL then I’m writing SQL. Here’s a little noddy database project I put together for demo purposes: Two views and a stored procedure, nothing fancy. I suppressed warnings for [View1] & [Procedure1] and hence the pertinent part my project file looks like this: <ItemGroup> <Build Include="Schema Objects\Schemas\dbo\Views\View1.view.sql"> <SubType>Code</SubType> <SuppressWarnings>4151,3276</SuppressWarnings> </Build> <Build Include="Schema Objects\Schemas\dbo\Views\View2.view.sql"> <SubType>Code</SubType> </Build> <Build Include="Schema Objects\Schemas\dbo\Programmability\Stored Procedures\Procedure1.proc.sql"> <SubType>Code</SubType> <SuppressWarnings>4151</SuppressWarnings> </Build> </ItemGroup> <ItemGroup> Note the <SuppressWarnings> elements – those are the bits of information that I am after. With a lot of help from folks on the SQL Server XML forum I came up with the following query that nailed what I was after. It reads the contents of the .dbproj file into a variable of type XML and then shreds it using T-SQL’s XML data type methods: DECLARE @xml XML; SELECT @xml = CAST(pkgblob.BulkColumn AS XML) FROM OPENROWSET(BULK 'C:\temp\QueryingProjectFileDemo\QueryingProjectFileDemo.dbproj' -- <-Change this path! ,single_blob) AS pkgblob ;WITH XMLNAMESPACES( 'http://schemas.microsoft.com/developer/msbuild/2003' AS ns) SELECT REVERSE(SUBSTRING(REVERSE(ObjectPath),0,CHARINDEX('\',REVERSE(ObjectPath)))) AS [ObjectName] ,[SuppressedWarnings] FROM ( SELECT build.query('.') AS [_node] , build.value('ns:SuppressWarnings[1]','nvarchar(100)') AS [SuppressedWarnings] , build.value('@Include','nvarchar(1000)') AS [ObjectPath] FROM @xml.nodes('//ns:Build[ns:SuppressWarnings]') AS R(build) )q And here’s the output: And that’s it – an easy way of discovering which warnings have been suppressed and for which objects in your database projects. I won’t bother going over the code as it is fairly self-explanatory – peruse it at your leisure. Once I had the SQL above I figured I’d share it around a little in case it was ever useful to anyone else; hence I’m writing this blog post and I also posted it on the Visual Studio Database Development Tools forum at FYI: Discover which objects have had warnings suppressed. Luckily Kevin Goode saw the thread and he posted a different solution to the same problem, one that uses Powershell. The advantage of Kevin’s Powershell approach is that it is easy to analyse many .dbproj files at the same time. Below is Kevin’s code which I have tweaked ever so slightly so that it produces the same results as my SQL script (I just want any object that had had a warning suppressed whereas Kevin was querying specifically for warning 4151): cd 'C:\Temp\QueryingProjectFileDemo\' cls $projects = ls -r -i *.dbproj Foreach($project in $projects) { $xml = new-object System.Xml.XmlDocument $xml.set_PreserveWhiteSpace( $true ) $xml.Load($project) #$xpath = @{Start="/e:Project/e:ItemGroup/e:Build[e:SuppressWarnings=4151]/@Include"} #$xpath = @{Start="/e:Project/e:ItemGroup/e:Build[contains(e:SuppressWarnings,'4151')]/@Include"} $xpath = @{Start="/e:Project/e:ItemGroup/e:Build[e:SuppressWarnings]/@Include"} $ns = @{ e = "http://schemas.microsoft.com/developer/msbuild/2003" } $xml | Select-Xml -XPath $xpath.Start -Namespace $ns |Select -Expand Node | Select -expand Value } and here’s the output: Nice reusable Powershell and SQL scripts – not bad for an evening’s work. Thank you to Kevin for allowing me to share his code. Don’t forget that these techniques can easily be adapted to query any Visual Studio project file, they’re only XML documents after all! Doubtless many people out there already have code for doing this but nonetheless here is another offering to the great script library in the sky. Have fun! @Jamiet

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Silverlight Cream for November 20, 2011 -- #1169

- by Dave Campbell

In this Issue: Andrea Boschin, Michael Crump, Michael Sync, WindowsPhoneGeek, Jesse Liberty, Derik Whittaker, Sumit Dutta, Jeff Blankenburg(-2-), and Beth Massi. Above the Fold: WP7: "Silver VNC 1.0 for Windows Phone "Mango"" Andrea Boschin Metro/WinRT/W8: "Lighting up your C# Metro apps by being a Share Source" Derik Whittaker LightSwitch: "Using the Save and Query Pipeline to “Archive” Deleted Records" Beth Massi Shoutouts: Michael Palermo's latest Desert Mountain Developers is up Michael Washington's latest Visual Studio #LightSwitch Daily is up From SilverlightCream.com: Silver VNC 1.0 for Windows Phone "Mango" Andrea Boschin published the first release of his "Silver VNC" version 1.0 on CodePlex. Check out the video on the blog post to see the capabilities, then go grab it from CodePlex. Fixing a broken toolbox (In Visual Studio 2010 SP1) Not Silverlight or Metro, but near to us all is Visual Studio... read how Michael Crump resolves the 'broken' toolbox that we all get now and then Windows Phone 7 – USB Device Not Recognized Error Michael Sync is looking for ideas about an error he gets any time he updates his phone. Windows Phone Toolkit MultiselectList in depth| Part2: Data Binding WindowsPhoneGeek has up the second part of his tutorial series on the MultiselectList from the Windows Phone Toolkit... this part is about data binding, complete with lots of code, discussion, pictures, and project to download New Mini-Tutorial Video Series Jesse Liberty started a new video series based on his Mango Mini tutorials. They will be on Channel 9, and he has a link on this post to the index. The firs of the series is on animation without code Lighting up your C# Metro apps by being a Share Source Derik Whittaker continues investigating Metro with this post about how to set your app up to share its content with other apps Part 21 - Windows Phone 7 - Toast Push Notification Sumit Dutta has part 21 of his WP7 series up and is talking about Toast Notification by creating a Windows form app for sending notifications to the WP7 app for viewing 31 Days of Mango | Day #6: Motion Jeff Blankenburg's Day 6 in his Mango series is about the Motion class which combines the data we get from the Accelerometer, Compass, and Gyroscope of the last couple days of posts 31 Days of Mango | Day #7: Raw Camera Data In Day 7, Jeff Blankenburg talks about the Camera on the WP7 and how to use the raw data in your own application Using the Save and Query Pipeline to “Archive” Deleted Records Beth Massi's latest LightSwith post is this one on tapping into the Save and Query pipelines to perform some data processing prior to saving or pulling data Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight Silverlight 3 Silverlight 4 Windows Phone MIX10

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Dynamic Bursting ... no really!

- by Tim Dexter

If any of you have seen me or my colleagues present BI Publisher to you then we have hopefully mentioned 'bursting.' You may have even seen a demo where we talk about being able to take a batch of data, say invoices. Then split them by some criteria, say customer id; format them with a template; generate the output and then deliver the documents to the recipients with a click. We and especially I, always say this can be completely dynamic! By this I mean, that you could store customer preferences in a database. What layout would each customer like; what output format they would like and how they would like the document delivered. We (I) talk a good talk, but typically don't do the walk in a demo. We hard code everything in the bursting query or bursting control file to get the concept across. But no more peeps! I have finally put together a dynamic bursting demo! Its been minutes in the making but its been tough to find those minutes! Read on ... It's nothing amazing in terms of making the burst dynamic. I created a CUSTOMER_PREFS table with some simple UI in an APEX application so that I can maintain their requirements. In EBS you have descriptive flexfields that could do the same thing or probably even 'contact' fields to store most of the info. Here's my table structure: Name Type ------------------------------ -------- CUSTOMER_ID NUMBER(6) TEMPLATE_TYPE VARCHAR2(20) TEMPLATE_NAME VARCHAR2(120) OUTPUT_FORMAT VARCHAR2(20) DELIVERY_CHANNEL VARCHAR2(50) EMAIL VARCHAR2(255) FAX VARCHAR2(20) ATTACH VARCHAR2(20) FILE_LOC VARCHAR2(255) Simple enough right? Just need CUSTOMER_ID as the key for the bursting engine to join it to the customer data at burst time. I have not covered the full delivery options, just email, fax and file location. Remember, its a demo people :0) However the principal is exactly the same for each delivery type. They each have a set of attributes that need to be provided and you will need to handle that in your bursting query. On a side note, in EBS, you use a bursting control file, you can apply the same principals that I'm laying out here you just need to get the customer bursting info into the XML data stream so that you can refer to it in the control file using XPATH expressions. Next, we need to look up what attributes or parameters are required for each delivery method. that can be found in the documentation here. Now we know the combinations of parameters and delivery methods we can construct the query using a series a decode statements: select distinct cp.customer_id "KEY", cp.template_name TEMPLATE, cp.template_type TEMPLATE_FORMAT, 'en-US' LOCALE, cp.output_format OUTPUT_FORMAT, 'false' SAVE_FORMAT, cp.delivery_channel DEL_CHANNEL, decode(cp.delivery_channel,'FILE', cp.file_loc , 'EMAIL', cp.email , 'FAX', cp.fax) PARAMETER1, decode(cp.delivery_channel,'FILE', c.cust_last_name||'_orders.pdf' ,'EMAIL','[email protected]' ,'FAX', 'faxserver.com') PARAMETER2, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','[email protected]' ,'FAX', null) PARAMETER3, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','Your current orders' ,'FAX',NULL) PARAMETER4, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','Please find attached a copy of your current orders with BI Publisher, Inc' ,'FAX',NULL) PARAMETER5, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','false' ,'FAX',NULL) PARAMETER6, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','[email protected]' ,'FAX',NULL) PARAMETER7 from cust_prefs cp, customers c, orders_view ov where cp.customer_id = c.customer_id and cp.customer_id = ov.customer_id order by cp.customer_id Pretty straightforward, just need to test, test, test, the query and ensure it's bringing back the correct data based on each customers preferences. Notice the NULL values for parameters that are not relevant for a given delivery channel. You should end up with bursting control data that the bursting engine can use: Now, your users can run the burst and documents will be formatted, generated and delivered based on the customer prefs. If you're interested in the example, I have used the sample OE schema data for the base report. The report files and CUST_PREFS table are zipped up here. The zip contains the data model (.xdmz), the report and templates (.xdoz) and the sql scripts to create and load data to the CUST_PREFS table. Once you load the report into the catalog, you'll need to create the OE data connection and point the data model at it. You'll probably need to re-point the report to the data model too. Happy Bursting!

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System Variables, Stored Procedures or Functions for Meta Data

- by BuckWoody

Whenever you want to know something about SQL Server’s configuration, whether that’s the Instance itself or a database, you have a few options. If you want to know “dynamic” data, such as how much memory or CPU is consumed or what a particular query is doing, you should be using the Dynamic Management Views (DMVs) that you can read about here: http://msdn.microsoft.com/en-us/library/ms188754.aspx But if you’re looking for how much memory is installed on the server, the version of the Instance, the drive letters of the backups and so on, you have other choices. The first of these are system variables. You access these with a SELECT statement, and they are useful when you need a discrete value for use, say in another query or to put into a table. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms173823.aspx You also have a few stored procedures you can use. These often bring back a lot more data, pre-formatted for the screen. You access these with the EXECUTE syntax. It is a bit more difficult to take the data they return and get a single value or place the results in another table, but it is possible. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms187961.aspx Yet another option is to use a system function, which you access with a SELECT statement, which also brings back a discrete value that you can use in a test or to place in another table. You can read about those here: http://msdn.microsoft.com/en-us/library/ms187812.aspx By the way, many of these constructs simply query from tables in the master or msdb databases for the Instance or the system tables in a user database. You can get much of the information there as well, and there are even system views in each database to show you the meta-data dealing with structure – more on that here: http://msdn.microsoft.com/en-us/library/ms186778.aspx Some of these choices are the only way to get at a certain piece of data. But others overlap – you can use one or the other, they both come back with the same data. So, like many Microsoft products, you have multiple ways to do the same thing. And that’s OK – just research what each is used for and how it’s intended to be used, and you’ll be able to select (pun intended) the right choice. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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Should I choose Doctrine 2 or Propel 1.5/1.6, and why?

- by Billy ONeal

I'd like to hear from those who have used Doctrine 2 (or later) and Propel 1.5 (or later). Most comparisons between these two object relational mappers are based on old versions -- Doctrine 1 versus Propel 1.3/1.4, and both ORMs went through significant redesigns in their recent revisions. For example, most of the criticism of Propel seems to center around the "ModelName Peer" classes, which are deprecated in 1.5 in any case. Here's what I've accumulated so far (And I've tried to make this list as balanced as possible...): Propel Pros Extremely IDE friendly, because actual code is generated, instead of relying on PHP magic methods. This means IDE features like code completion are actually helpful. Fast (In terms of database usage -- no runtime introspection is done on the database) Clean migration between schema versions (at least in the 1.6 beta) Can generate PHP 5.3 models (i.e. namespaces) Easy to chain a lot of things into a single database query with things like useXxx methods. (See the "code completion" video above) Cons Requires an extra build step, namely building the model classes. Generated code needs rebuilt whenever Propel version is changed, a setting is changed, or the schema changes. This might be unintuitive to some and custom methods applied to the model are lost. (I think?) Some useful features (i.e. version behavior, schema migrations) are in beta status. Doctrine Pros More popular Doctrine Query Language can express potentially more complicated relationships between data than easily possible with Propel's ActiveRecord strategy. Easier to add reusable behaviors when compared with Propel. DocBlock based commenting for building the schema is embedded in the actual PHP instead of a separate XML file. Uses PHP 5.3 Namespaces everywhere Cons Requires learning an entirely new programming language (Doctrine Query Language) Implemented in terms of "magic methods" in several places, making IDE autocomplete worthless. Requires database introspection and thus is slightly slower than Propel by default; caching can remove this but the caching adds considerable complexity. Fewer behaviors are included in the core codebase. Several features Propel provides out of the box (such as Nested Set) are available only through extensions. Freakin' HUGE :) This I have gleaned though only through reading the documentation available for both tools -- I've not actually built anything yet. I'd like to hear from those who have used both tools though, to share their experience on pros/cons of each library, and what their recommendation is at this point :)

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SQL Saturday 47 Phoenix February 2011

- by billramo

Today I presented data collection strategies for SQL Server 2008 at Phoenix SQL Saturday 47. I’ve attached my deck to this post so that you can get the links and references that I presented. To learn more about the Data Collector, check out these links. SQL Server 2008 Data Collector Proof of Concept – How to get started with Data Collector in your organization SQL Server Query Hash Statistics – Replacement for the shipping Query Statistics collection set Writing Reports Against the Management Data Warehouse – This is part 1 of the series on MDW reports. You can see all the articles through this link. Be sure to click on the attachment link to download the slides.

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Calculated Columns in Entity Framework Code First Migrations

- by David Paquette

I had a couple people ask me about calculated properties / columns in Entity Framework this week. The question was, is there a way to specify a property in my C# class that is the result of some calculation involving 2 properties of the same class. For example, in my database, I store a FirstName and a LastName column and I would like a FullName property that is computed from the FirstName and LastName columns. My initial answer was: 1: public string FullName 2: { 3: get { return string.Format("{0} {1}", FirstName, LastName); } 4: } Of course, this works fine, but this does not give us the ability to write queries using the FullName property. For example, this query: 1: var users = context.Users.Where(u => u.FullName.Contains("anan")); Would result in the following NotSupportedException: The specified type member 'FullName' is not supported in LINQ to Entities. Only initializers, entity members, and entity navigation properties are supported. It turns out there is a way to support this type of behavior with Entity Framework Code First Migrations by making use of Computed Columns in SQL Server. While there is no native support for computed columns in Code First Migrations, we can manually configure our migration to use computed columns. Let’s start by defining our C# classes and DbContext: 1: public class UserProfile 2: { 3: public int Id { get; set; } 4: 5: public string FirstName { get; set; } 6: public string LastName { get; set; } 7: 8: [DatabaseGenerated(DatabaseGeneratedOption.Computed)] 9: public string FullName { get; private set; } 10: } 11: 12: public class UserContext : DbContext 13: { 14: public DbSet<UserProfile> Users { get; set; } 15: } The DatabaseGenerated attribute is needed on our FullName property. This is a hint to let Entity Framework Code First know that the database will be computing this property for us. Next, we need to run 2 commands in the Package Manager Console. First, run Enable-Migrations to enable Code First Migrations for the UserContext. Next, run Add-Migration Initial to create an initial migration. This will create a migration that creates the UserProfile table with 3 columns: FirstName, LastName, and FullName. This is where we need to make a small change. Instead of allowing Code First Migrations to create the FullName property, we will manually add that column as a computed column. 1: public partial class Initial : DbMigration 2: { 3: public override void Up() 4: { 5: CreateTable( 6: "dbo.UserProfiles", 7: c => new 8: { 9: Id = c.Int(nullable: false, identity: true), 10: FirstName = c.String(), 11: LastName = c.String(), 12: //FullName = c.String(), 13: }) 14: .PrimaryKey(t => t.Id); 15: Sql("ALTER TABLE dbo.UserProfiles ADD FullName AS FirstName + ' ' + LastName"); 16: } 17: 18: 19: public override void Down() 20: { 21: DropTable("dbo.UserProfiles"); 22: } 23: } Finally, run the Update-Database command. Now we can query for Users using the FullName property and that query will be executed on the database server. However, we encounter another potential problem. Since the FullName property is calculated by the database, it will get out of sync on the object side as soon as we make a change to the FirstName or LastName property. Luckily, we can have the best of both worlds here by also adding the calculation back to the getter on the FullName property: 1: [DatabaseGenerated(DatabaseGeneratedOption.Computed)] 2: public string FullName 3: { 4: get { return FirstName + " " + LastName; } 5: private set 6: { 7: //Just need this here to trick EF 8: } 9: } Now we can both query for Users using the FullName property and we also won’t need to worry about the FullName property being out of sync with the FirstName and LastName properties. When we run this code: 1: using(UserContext context = new UserContext()) 2: { 3: UserProfile userProfile = new UserProfile {FirstName = "Chanandler", LastName = "Bong"}; 4: 5: Console.WriteLine("Before saving: " + userProfile.FullName); 6: 7: context.Users.Add(userProfile); 8: context.SaveChanges(); 9: 10: Console.WriteLine("After saving: " + userProfile.FullName); 11: 12: UserProfile chanandler = context.Users.First(u => u.FullName == "Chanandler Bong"); 13: Console.WriteLine("After reading: " + chanandler.FullName); 14: 15: chanandler.FirstName = "Chandler"; 16: chanandler.LastName = "Bing"; 17: 18: Console.WriteLine("After changing: " + chanandler.FullName); 19: 20: } We get this output: It took a bit of work, but finally Chandler’s TV Guide can be delivered to the right person. The obvious downside to this implementation is that the FullName calculation is duplicated in the database and in the UserProfile class. This sample was written using Visual Studio 2012 and Entity Framework 5. Download the source code here.

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How should I design my database API commands? [closed]

- by WebDev

I am developing a database API for a project, with commands for getting data from the database. For example, I have one gib table, so the command for that is: getgib name alias limit fields If the user pass their name: getgib rahul Then it will return all gib data whose name is like rahul. If an alias is given then it will return all the gib owned by the user whose alias (userid) was given. I want to design the commands: limit: to limit the record in query, fields: extra fields I want to add in the select query. So now the commands are set, but: I want the gibs by the gibid, so how to make this or any suggestion to improve my command is welcome. If the user doesn't want to specify the name, and he wants only the gibs by providing alias, then what separator should I use instead of name?

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quick look at: dm_db_index_physical_stats

- by fatherjack

A quick look at the key data from this dmv that can help a DBA keep databases performing well and systems online as the users need them. When the dynamic management views relating to index statistics became available in SQL Server 2005 there was much hype about how they can help a DBA keep their servers running in better health than ever before. This particular view gives an insight into the physical health of the indexes present in a database. Whether they are use or unused, complete or missing some columns is irrelevant, this is simply the physical stats of all indexes; disabled indexes are ignored however. In it’s simplest form this dmv can be executed as: The results from executing this contain a record for every index in every database but some of the columns will be NULL. The first parameter is there so that you can specify which database you want to gather index details on, rather than scan every database. Simply specifying DB_ID() in place of the first NULL achieves this. In order to avoid the NULLS, or more accurately, in order to choose when to have the NULLS you need to specify a value for the last parameter. It takes one of 4 values – DEFAULT, ‘SAMPLED’, ‘LIMITED’ or ‘DETAILED’. If you execute the dmv with each of these values you can see some interesting details in the times taken to complete each step. DECLARE @Start DATETIME DECLARE @First DATETIME DECLARE @Second DATETIME DECLARE @Third DATETIME DECLARE @Finish DATETIME SET @Start = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, DEFAULT) AS ddips SET @First = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'SAMPLED') AS ddips SET @Second = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'LIMITED') AS ddips SET @Third = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'DETAILED') AS ddips SET @Finish = GETDATE() SELECT DATEDIFF(ms, @Start, @First) AS [DEFAULT] , DATEDIFF(ms, @First, @Second) AS [SAMPLED] , DATEDIFF(ms, @Second, @Third) AS [LIMITED] , DATEDIFF(ms, @Third, @Finish) AS [DETAILED] Running this code will give you 4 result sets; DEFAULT will have 12 columns full of data and then NULLS in the remainder. SAMPLED will have 21 columns full of data. LIMITED will have 12 columns of data and the NULLS in the remainder. DETAILED will have 21 columns full of data. So, from this we can deduce that the DEFAULT value (the same one that is also applied when you query the view using a NULL parameter) is the same as using LIMITED. Viewing the final result set has some details that are worth noting: Running queries against this view takes significantly longer when using the SAMPLED and DETAILED values in the last parameter. The duration of the query is directly related to the size of the database you are working in so be careful running this on big databases unless you have tried it on a test server first. Let’s look at the data we get back with the DEFAULT value first of all and then progress to the extra information later. We know that the first parameter that we supply has to be a database id and for the purposes of this blog we will be providing that value with the DB_ID function. We could just as easily put a fixed value in there or a function such as DB_ID (‘AnyDatabaseName’). The first columns we get back are database_id and object_id. These are pretty explanatory and we can wrap those in some code to make things a little easier to read: SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName] … FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips gives us SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName], [i].[name] AS [IndexName] , ….. FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips INNER JOIN [sys].[indexes] AS i ON [ddips].[index_id] = [i].[index_id] AND [ddips].[object_id] = [i].[object_id] These handily tie in with the next parameters in the query on the dmv. If you specify an object_id and an index_id in these then you get results limited to either the table or the specific index. Once again we can place a function in here to make it easier to work with a specific table. eg. SELECT * FROM [sys].[dm_db_index_physical_stats] (DB_ID(), OBJECT_ID(‘AdventureWorks2008.Person.Address’) , 1, NULL, NULL) AS ddips Note: Despite me showing that functions can be placed directly in the parameters for this dmv, best practice recommends that functions are not used directly in the function as it is possible that they will fail to return a valid object ID. To be certain of not passing invalid values to this function, and therefore setting an automated process off on the wrong path, declare variables for the OBJECT_IDs and once they have been validated, use them in the function: DECLARE @db_id SMALLINT; DECLARE @object_id INT; SET @db_id = DB_ID(N’AdventureWorks_2008′); SET @object_id = OBJECT_ID(N’AdventureWorks_2008.Person.Address’); IF @db_id IS NULL BEGINPRINT N’Invalid database’; ENDELSE IF @object_id IS NULL BEGINPRINT N’Invalid object’; ENDELSE BEGINSELECT * FROM sys.dm_db_index_physical_stats (@db_id, @object_id, NULL, NULL , ‘LIMITED’); END; GO In cases where the results of querying this dmv don’t have any effect on other processes (i.e. simply viewing the results in the SSMS results area) then it will be noticed when the results are not consistent with the expected results and in the case of this blog this is the method I have used. So, now we can relate the values in these columns to something that we recognise in the database lets see what those other values in the dmv are all about. The next columns are: We’ll skip partition_number, index_type_desc, alloc_unit_type_desc, index_depth and index_level as this is a quick look at the dmv and they are pretty self explanatory. The final columns revealed by querying this view in the DEFAULT mode are avg_fragmentation_in_percent. This is the amount that the index is logically fragmented. It will show NULL when the dmv is queried in SAMPLED mode. fragment_count. The number of pieces that the index is broken into. It will show NULL when the dmv is queried in SAMPLED mode. avg_fragment_size_in_pages. The average size, in pages, of a single fragment in the leaf level of the IN_ROW_DATA allocation unit. It will show NULL when the dmv is queried in SAMPLED mode. page_count. Total number of index or data pages in use. OK, so what does this give us? Well, there is an obvious correlation between fragment_count, page_count and avg_fragment_size-in_pages. We see that an index that takes up 27 pages and is in 3 fragments has an average fragment size of 9 pages (27/3=9). This means that for this index there are 3 separate places on the hard disk that SQL Server needs to locate and access to gather the data when it is requested by a DML query. If this index was bigger than 72KB then having it’s data in 3 pieces might not be too big an issue as each piece would have a significant piece of data to read and the speed of access would not be too poor. If the number of fragments increases then obviously the amount of data in each piece decreases and that means the amount of work for the disks to do in order to retrieve the data to satisfy the query increases and this would start to decrease performance. This information can be useful to keep in mind when considering the value in the avg_fragmentation_in_percent column. This is arrived at by an internal algorithm that gives a value to the logical fragmentation of the index taking into account the multiple files, type of allocation unit and the previously mentioned characteristics if index size (page_count) and fragment_count. Seeing an index with a high avg_fragmentation_in_percent value will be a call to action for a DBA that is investigating performance issues. It is possible that tables will have indexes that suffer from rapid increases in fragmentation as part of normal daily business and that regular defragmentation work will be needed to keep it in good order. In other cases indexes will rarely become fragmented and therefore not need rebuilding from one end of the year to another. Keeping this in mind DBAs need to use an ‘intelligent’ process that assesses key characteristics of an index and decides on the best, if any, defragmentation method to apply should be used. There is a simple example of this in the sample code found in the Books OnLine content for this dmv, in example D. There are also a couple of very popular solutions created by SQL Server MVPs Michelle Ufford and Ola Hallengren which I would wholly recommend that you review for much further detail on how to care for your SQL Server indexes. Right, let’s get back on track then. Querying the dmv with the fifth parameter value as ‘DETAILED’ takes longer because it goes through the index and refreshes all data from every level of the index. As this blog is only a quick look a we are going to skate right past ghost_record_count and version_ghost_record_count and discuss avg_page_space_used_in_percent, record_count, min_record_size_in_bytes, max_record_size_in_bytes and avg_record_size_in_bytes. We can see from the details below that there is a correlation between the columns marked. Column 1 (Page_Count) is the number of 8KB pages used by the index, column 2 is how full each page is (how much of the 8KB has actual data written on it), column 3 is how many records are recorded in the index and column 4 is the average size of each record. This approximates to: ((Col1*8) * 1024*(Col2/100))/Col3 = Col4*. avg_page_space_used_in_percent is an important column to review as this indicates how much of the disk that has been given over to the storage of the index actually has data on it. This value is affected by the value given for the FILL_FACTOR parameter when creating an index. avg_record_size_in_bytes is important as you can use it to get an idea of how many records are in each page and therefore in each fragment, thus reinforcing how important it is to keep fragmentation under control. min_record_size_in_bytes and max_record_size_in_bytes are exactly as their names set them out to be. A detail of the smallest and largest records in the index. Purely offered as a guide to the DBA to better understand the storage practices taking place. So, keeping an eye on avg_fragmentation_in_percent will ensure that your indexes are helping data access processes take place as efficiently as possible. Where fragmentation recurs frequently then potentially the DBA should consider; the fill_factor of the index in order to leave space at the leaf level so that new records can be inserted without causing fragmentation so rapidly. the columns used in the index should be analysed to avoid new records needing to be inserted in the middle of the index but rather always be added to the end. * – it’s approximate as there are many factors associated with things like the type of data and other database settings that affect this slightly. Another great resource for working with SQL Server DMVs is Performance Tuning with SQL Server Dynamic Management Views by Louis Davidson and Tim Ford – a free ebook or paperback from Simple Talk. Disclaimer – Jonathan is a Friend of Red Gate and as such, whenever they are discussed, will have a generally positive disposition towards Red Gate tools. Other tools are often available and you should always try others before you come back and buy the Red Gate ones. All code in this blog is provided “as is” and no guarantee, warranty or accuracy is applicable or inferred, run the code on a test server and be sure to understand it before you run it on a server that means a lot to you or your manager.

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CodePlex Daily Summary for Wednesday, July 04, 2012

CodePlex Daily Summary for Wednesday, July 04, 2012Popular ReleasesMVC Controls Toolkit: Mvc Controls Toolkit 2.2.0: Added Modified all Mv4 related features to conform with the Mvc4 RC Now all items controls accept any IEnumerable<T>(before just List<T> were accepted by most of controls) retrievalManager class that retrieves automatically data from a data source whenever it catchs events triggered by filtering, sorting, and paging controls move method to the updatesManager to move one child objects from a father to another. The move operation can be undone like the insert, update and delete operatio...BlackJumboDog: Ver5.6.6: 2012.07.03 Ver5.6.6 (1) ???????????ftp://?????????、????LIST?????Mini SQL Query: Mini SQL Query (v1.0.68.441): Just a bug fix release for when the connections try to refresh after an edit. Make sure you read the Quickstart for an introduction.Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.58: Fix for Issue #18296: provide "ALL" value to the -ignore switch to ignore all error and warning messages. Fix for issue #18293: if encountering EOF before a function declaration or expression is properly closed, throw an appropriate error and don't crash. Adjust the variable-renaming algorithm so it's very specific when renaming variables with the same number of references so a single source file ends up with the same minified names on different platforms. add the ability to specify kno...LogExpert: 1.4 build 4566: This release for the 1.4 version line contains various fixes which have been made some times ago. Until now these fixes were only available in the 1.5 alpha versions. It also contains a fix for: 710. Column finder (press F8 to show) Terminal server issues: Multiple sessions with same user should work now Settings Export/Import available via Settings Dialog still incomple (e.g. tab colors are not saved) maybe I change the file format one day no command line support yet (for importin...DynamicToSql: DynamicToSql 1.0.0 (beta): 1.0.0 beta versionCommonLibrary.NET: CommonLibrary.NET 0.9.8.5 - Final Release: A collection of very reusable code and components in C# 4.0 ranging from ActiveRecord, Csv, Command Line Parsing, Configuration, Holiday Calendars, Logging, Authentication, and much more. FluentscriptCommonLibrary.NET 0.9.8 contains a scripting language called FluentScript. Releases notes for FluentScript located at http://fluentscript.codeplex.com/wikipage?action=Edit&title=Release%20Notes&referringTitle=Documentation Fluentscript - 0.9.8.5 - Final ReleaseApplication: FluentScript Versio...SharePoint 2010 Metro UI: SharePoint 2010 Metro UI8: Please review the documentation link for how to install. Installation takes some basic knowledge of how to upload and edit SharePoint Artifact files. Please view the discussions tab for ongoing FAQsnopCommerce. Open source shopping cart (ASP.NET MVC): nopcommerce 2.60: Highlight features & improvements: • Significant performance optimization. • Use AJAX for adding products to the cart. • New flyout mini-shopping cart. • Auto complete suggestions for product searching. • Full-Text support. • EU cookie law support. To see the full list of fixes and changes please visit the release notes page (http://www.nopCommerce.com/releasenotes.aspx).THE NVL Maker: The NVL Maker Ver 3.51: http://download.codeplex.com/Download?ProjectName=nvlmaker&DownloadId=371510 ????：http://115.com/file/beoef05k#THE-NVL-Maker-ver3.51-sim.7z ????：http://www.mediafire.com/file/6tqdwj9jr6eb9qj/THENVLMakerver3.51tra.7z ======================================== ???? ======================================== 3.51 beta ???： ·?????????????????????? ·?????????，?????????0，?????????????????????? ·??????????????????????????? ·?????????????TJS????（EXP??） ·??4:3???，???????????????，??????????? ·?????????...????: ????2.0.3: 1、???????????。 2、????????。 3、????????????。 4、bug??，????。AssaultCube Reloaded: 2.5 Intrepid: Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, download the Linux package. Try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compile your own for Linux (source included) You should delete /home/config/saved.cfg to reset binds/other stuff If you us...Magelia WebStore Open-source Ecommerce software: Magelia WebStore 2.0: User Right Licensing ContentType version 2.0.267.1Bongiozzo Photosite: Alpha: Just first stable releaseMDS MODELING WORKBOOK: MDS MODELING WORKBOOK: This is the initial release. Works with SQL 2008 R2 Master Data Services. Also works with SQL 2012 Master Data Services but has not been completely tested.Logon Screen Launcher: Logon Screen Launcher 1.3.0: FIXED - Minor handle leak issueBF3Rcon.NET: BF3Rcon.NET 25.0: This update brings the library up to server release R25, which includes the few additions from R21. There are also some minor bug fixes and a couple of other minor changes. In addition, many methods now take advantage of the RconResult class, which will give error information on failed requests; this replaces the bool returned by many methods. There is also an implicit conversion from RconResult to bool (both of which were true on success), so old code shouldn't break. ChangesAdded Player.S...TelerikMvcGridCustomBindingHelper: Version 1.0.15.183-RC: TelerikMvcGridCustomBindingHelper 1.0.15.183 RC This is a RC (release candidate) version, please test and report any error or problem you encounter. Warning: There are many changes in this release and some of them break backward compatibility. Release notes (since 0.5.0-Alpha version): Custom aggregates via an inherited class or inline fluent function Ignore group on aggregates for better performance Projections (restriction of the database columns queried) for an even better performa...PunkBuster™ Screenshot Viewer: PunkBuster™ Screenshot Viewer 1.0: First release of PunkBuster™ Screenshot ViewerDesigning Windows 8 Applications with C# and XAML: Chapters 1 - 7 Release Preview: Source code for all examples from Chapters 1 - 7 for the Release PreviewNew ProjectsAzureMVC4: hiBoonCraft Launcher: BoonCraft Launcher V2.0 See http://352n.dyndns.org for more info on BoonCraftC# to Javascript: Have you ever wanted to automagically have access to the enums you use in your .NET code in the javascript code you're writing for client-side?CMCIC payment gateway provider for NB_Store: CMCIC payment gateway provider for NB_StoreCOFE2 : Cloud Over IFileSystemInfo Entries Extensions: COFE2 enable user to access the user-defined file system on local or foreign computer, using a System.IO-like interface or a RESTful Web API.Directory access via LDAP: .NET library for managing a directory via LDAP.E-mail processing: .NET library for processing e-mail.FAST Search for SharePoint Query Statistics: F4SP Query Statistics scans the FAST for SharePoint Query Logs and presents statistics based on the logs. Total Queries, Top Queries, Queries per user etc...File Backup: This project is an open source windows azure cloud backup win forms application.HanxiaoFu's personal: This will help synchronizing my work done in home and at workLifekostyuk: This is my first project on TFSNet WebSocket Server: NetWebSocket Server is c# based hight performance and scalable Websocket server. Posroid for Windows 8: ?? ??????? ????? ?? ?? ????? ??? ?? ??? ??? ???? ? ? ???, ???8??? ???? ?? ??? ? ? ??? ??? ????? ?????.PowerRules: PowerRules is a group of scripts that help you audit your farm for Configuration Drift (Configuration changes over time)Projet Niloc TETRAS: Student Project to know how to manage and coordinating a team.proyectobanco: PROFE AQUI ESTA EL PROYECTO DISCULPE NOMAS ATT SANCANsheetengine - Isometric HTML5 JavaScript Display Engine: Sheetengine is an HTML5 canvas based isometric display engine for JavaScript. It features textures, z-ordering, shadows, intersecting sheets, object movements.Shiny2: GTS Spoofing program for Generation IV and V of Pokemon.SMS Backup & Restore XML to MySQL: The purpose is to take the XML files created by SMS Backup and Restore (Android) and importing them via a Dropbox/Google Drive synch into a MySQL dbStundenplan TSST: App für Windows Phone um die einzelnen Vertretungspläne der technischen Schule Steinfurt anzusehenswalmacenamiento: Proyecto para el almacenamiento de registrosTFS Work Item Association Check-in Policy: This policy requires TFS source control check-ins to be associated with a single, in-progress task that is assigned to you.TurboTemplate: TurboTemplate is a fast source code generation helper which quick transforms between your SQL database and some templated text of your choice.visblog: this is short summary of my projectVisualHG_fliedonion: This is fork of VisualHG. This will used by improve VisualHG for me. support only Visual Studio 2008 (not SP1). Wave Tag Library: A very simple and modest .wav file tag library. With this library you can load .wav files, edit the tags (equivalent to mp3's ID3 tags) and save back to file.Wordpress: WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.ZEAL-C02 Bluetooth module Driver for Netduino: A class library for the .NET Micro Framework to support the Zeal-C02 Bluetooth module for Netduino.

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CodePlex Daily Summary for Tuesday, November 06, 2012

CodePlex Daily Summary for Tuesday, November 06, 2012Popular ReleasesMetodología General Ajustada - MGA: 03.04.01: Cambios Parmenio: Se desarrollan las opciones de los botones Siguiente y Anterior en todos los formularios de Identificación y Preparación. Cambios John: Integración de código con cambios enviados por Parmenio Bonilla. Generación de instaladores. Soporte técnico por correo electrónico, telefónico y en sitio.DictationTool: DictationCool-WPF: • Open a media file to start a new dication. • Open a dct file to continue a dictation. • Compare your dictation with original text if exists. • Save your dictation to dct file, and restore it to continue later. • Save the compared result to html file.SSIS Expression Editor & Tester: Expression Editor and Tester v1.0.8.0: Getting Started Download and extract the files, no install required. The ExpressionEditor.zip download contains a folder for each SQL Server version. ExpressionEditor2005 ExpressionEditor2008 ExpressionEditor2012 Changes Fixed issues 32868 and 33291 raised by BIDS Helper users. No functional changes from previous release. Versions There are three versions included, all built from the same code with the same functionality, but each targeting a different release of SQL Server. The downlo...LINQ to Twitter: LINQ to Twitter Beta v2.1.2: Now supports Windows Phone 8. Supports .NET 3.5, .NET 4.0, Silverlight 4.0, Windows Phone 7.1, Windows Phone 8, Client Profile, and Windows 8. 100% Twitter API coverage. Now supports Twitter API v1.1! LINQ to Twitter Samples contains example code for using LINQ to Twitter with various .NET technologies. Downloadable source code also has C# samples in the LinqToTwitterDemo project and VB samples in the LinqToTwitterDemoVB project. Also on NuGet.Resume Search: Version 1.0.0.3: - updates to messages - slight change to UIMCEBuddy 2.x: MCEBuddy 2.3.7: Changelog for 2.3.7 (32bit and 64bit) 1. Improved performance of MP4 Fast and M4V Fast Profiles (no deinterlacing, removed --decomb) 2. Improved priority handling 3. Added support for Pausing and Resume conversions 4. Added support for fallback to source directory if network destination directory is unavailable 5. MCEBuddy now installs ShowAnalyzer during installation 6. Added support for long description atom in iTunesKuick Application & ORM Framework: Version 1.0.15322.29505 - Released 2012-11-05: Fix bugs and add new features.FoxyXLS: FoxyXLS Releases: Source code and samplesMySQL Tuner for Windows: 0.2: Welcome to the second beta of MySQL Tuner for Windows! This release fixes a critical bug in 0.1 where it would not work with recent version of MySQL server. Be warned that there will be bugs in this release, so please do not use on production or critical systems. Do post details of issues found to the issue tracker, and I will endeavour to fix them, when I can. I would love to have your feedback, and if possible your support! Requirements Microsoft .NET Framework 4.0 (http://www.microsoft....Dyanamic Reports (RDLC) - SharePoint 2010 Visual WebPart: Initial Release: This is a Initial Release.HTML Renderer: HTML Renderer 1.0.0.0 (3): Major performance improvement (http://theartofdev.wordpress.com/2012/10/25/how-i-optimized-html-renderer-and-fell-in-love-with-vs-profiler/) Minor fixes raised in issue tracker and discussions.ProDinner - ASP.NET MVC Sample (EF4.4, N-Tier, jQuery): 8: update to ASP.net MVC Awesome 3.0 udpate to EntityFramework 4.4 update to MVC 4 added dinners grid on homepageASP.net MVC Awesome - jQuery Ajax Helpers: 3.0: added Grid helper added XML Documentation added textbox helper added Client Side API for AjaxList removed .SearchButton from AjaxList AjaxForm and Confirm helpers have been merged into the Form helper optimized html output for AjaxDropdown, AjaxList, Autocomplete works on MVC 3 and 4BlogEngine.NET: BlogEngine.NET 2.7: Cheap ASP.NET Hosting - $4.95/Month - Click Here!! Click Here for More Info Cheap ASP.NET Hosting - $4.95/Month - Click Here! If you want to set up and start using BlogEngine.NET right away, you should download the Web project. If you want to extend or modify BlogEngine.NET, you should download the source code. If you are upgrading from a previous version of BlogEngine.NET, please take a look at the Upgrading to BlogEngine.NET 2.7 instructions. If you looking for Web Application Project, ...Launchbar: Launchbar 4.2.2.0: This release is the first step in cleaning up the code and using all the latest features of .NET 4.5 Changes 4.2.2 (2012-11-02) Improved handling of left clicks 4.1.0 (2012-10-17) Removed tray icon Assembly renamed and signed with strong name Note When you upgrade, Launchbar will start with the default settings. You can import your previous settings by following these steps: Run Launchbar and just save the settings without configuring anything Shutdown Launchbar Go to the folder %LOCA...Mouse Jiggler: MouseJiggle-1.3: This adds the much-requested minimize-to-tray feature to Mouse Jiggler.Umbraco CMS: Umbraco 4.10.0 Release Candidate: This is a Release Candidate, which means that if we do not find any major issues in the next week, we will release this version as the final release of 4.10.0 on November 9th, 2012. The documentation for the MVC bits still lives in the Github version of the docs for now and will be updated on our.umbraco.org with the final release of 4.10.0. Browse the documentation here: https://github.com/umbraco/Umbraco4Docs/tree/4.8.0/Documentation/Reference/Mvc If you want to do only MVC then make sur...Skype Auto Recorder: SkypeAutoRecorder 1.3.4: New icon and images. Reworked settings window. Implemented high-quality sound encoding. Implemented a possibility to produce stereo records. Added buttons with system-wide hot keys for manual starting and canceling of recording. Added buttons for opening folder with records. Added Help button. Fixed an issue when recording is continuing after call end. Fixed an issue when recording doesn't start. Fixed several bugs and improved stability. Major refactoring and optimization...Python Tools for Visual Studio: Python Tools for Visual Studio 1.5: We’re pleased to announce the release of Python Tools for Visual Studio 1.5 RTM. Python Tools for Visual Studio (PTVS) is an open-source plug-in for Visual Studio which supports programming with the Python language. PTVS supports a broad range of features including CPython/IronPython, Edit/Intellisense/Debug/Profile, Cloud, HPC, IPython, etc. support. For a quick overview of the general IDE experience, please watch this video There are a number of exciting improvement in this release comp...AssaultCube Reloaded: 2.5.5: Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, please wait while we try to package for those OSes. Try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compile your own for Linux (source included) Changelog: Fixed potential bot bugs: Map change, OpenAL...New Projects1105p1: just a testAssaultCube Reloaded Launcher: This is the official ACR Launcher For AssaultCube Reloaded. Betting Manager: This project allows the users to store and analyze all their betting activities.BTalk: Simple communicator with encryption capability.Chronozoom Extensions: This project adds a touch interface to the original chronozoom source code, as well as adding an intuitive way to integrate new data into chronozoom easily.CloudClipX: CloudClipx is a simple clipboard monitor that optionally connects to a cloud service where you can upload your most recent clips and retrieve them from your mobcodeplexproject01: The project is okcodeplexproject02: Jean well done summaryDelayed Reaction: Delayed Reaction is a mini library designed to help with application event distribution. Events can fire from any method in your code in any form or window and be distributed to any window that registered for the event. Events can also be fired with a delay or become sticky. Dyanamic Reports (RDLC) - SharePoint 2010 Visual WebPart: SharePoint 2010 Visual Web Part solution to create RDLC reports on fly, based on lists/libraries available in SharePoint 2010 Portal.Eight OData: Consuming an OData feedFreelance: Freelance projectgraphdrawing: graph drawingGrasshoppers Time Board: Application for measure time during floorball match. Can be used also for socker or other game. HCyber: A Cyberminer Search Engine using the KWIC system.lcwineight: lcs win eight projectMeta Protector: MetaProtector is a DotNetNuke module intended to help sites apply additional Meta tags to their markup. MetroEEG: Mindwave for Windows Phone: Windows Phone 8 API for Minewave Mobile EEG Headset. minipp: This is a test project.mleai: A test project for ml.MVC Multi Layer Best Practices App: MVC Multi Layer Best Practices AppNon-Unique Key Dictionary: A dictionary that does not require unique keys for values. nTribeHR: .NET wrapper for TribeHR web services.Object Serialiser: Object Instance to Object Initialiser Syntax serialiserOrchard Metro JS library: Metro JS is a JavaScript plugin for jQuery developed to easily enable Metro interfaces on the web.Pasty Cloud Clipboard Client: A windows forms application for managing your Pasty cloud clipboard. Also includes a separate API wrapper that can be used independently.PowerComboBox: PowerComboBox is an enhanced ComboBox control. Programmed in Visual Basic, PowerComboBox adds 4 new features, Hovering; Backcolour; Checkboxes; Groups.project4: my summaryProjet POO IMA: Projet POO IMAQuickShot: Quickshot is a desktop screen capture utility that allows you to upload your captures directly to the popular image hosting website, imgur. RePro - NFe: Aplicativo de integração com ERP’s para emissão e distribuição de NFe.Resume Search: Search, filter and parse user resumes in PDF, .DOC, .DOCX format into properly organized database format.Script-base POP3 Connector for Exchange: This is a script based POP3 connector for Exchange. It works with all Exchange having "Pickup folder"Squadron for SharePoint 2010: Squadron is a: - Collection of SharePoint 2010 utility modules - Created with Windows Forms application - Plugin enabled modules - Free SRS Subscription Manager: This utility allows you to re-execute subscriptions in Microsoft SQL Server Reporting ServicesStart Screen Button: Windows 8 / Server 2012 taskbar button to bring up the Start Screen. Useful for RDP, VNC, LogMeIn, etc.TableSizer: A Windows Live Writer plugin that automatically sets the width property of every table to a configurable value prior to publishing the post.TodayHumor for Windows: Windows Phone? ?? ??? ?? ?????????. Towers of Hanoi 3D: A simple Towers of Hanoi 3D game for the Windows Store. Developed with the Visual Studio 3D Starter Kit - http://aka.ms/vs3dkitTweet 4 ME: Tweet 4 ME is a Java Micro Edition (MIDP 2.0 CLDC 1.0) based Twitter client built with a custom GUI framework. The application is part of a college project.UWE Bristol - Robotic Pick and Place System 2012: A robot arm pick and place will be trained to repeatedly move an item from one location to another. The training and control input will be from a 4x4 keypad.

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It's intellisense for SQL Server

- by Nick Harrison

It's intellisense for SQL Server Anyone who has ever worked with me, heard me speak, or read any of writings knows that I am a HUGE fan of Reflector. By extension, I am a big fan of Red - Gate I have recently begun exploring some of their other offerings and came across this jewel. SQL Prompt is a plug in for Visual Studio and SQL Server Management Studio. It provides several tools to make dealing with SQL a little easier for your friendly neighborhood developer. When you a query window in a database, the plugin kicks in and gathers the metadata for the database that you are in. As you type a query, you get handy feedback like a list of tables after you type select. You can select one of the tables, specify * and then tab to expand the select clause to include all of the columns from the selected table. As you are building up the where clause, you are prompted by the names of columns in the selected tables. If you spend any time writing ad hoc queries or building stored procedures by hand, this can save you substantial time. If you are learning a new data model, this can greatly cut down on your frustration level. The other really cool thing here is Format SQL. I have searched all over the place for a really good SQL formatter. Badly formatted SQL is so much harder to read than well formatted SQL. Unfortunately, management studio offers no support for keeping your SQL well formatted. There are many tools available to format your SQL. Some work better than others. Some don't work that well at all. Most will give you some measure of control over how the formatted SQL looks. SQL Prompt produces good results and is easy to configure. Sadly no tool is perfect, and what would we be without a wish list. There are some features that I would like to see: Make it easier to paste SQL in and out of code. Strip off string builder, etc Automate replacing hard coded values with bind variables or parameters In addition to reformatting SQL, which is a huge refactor, support for other SQL refactors would be nice. Convert join to sub query and vice versa come to mind Wish list a side, this is a wonderful tool that easily saves me an hour or more on most weeks.

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WebCenter Content (WCC) Trace Sections

- by Kevin Smith

Kyle has a good post on how to modify the size and number of WebCenter Content (WCC) trace files. His post reminded me I have been meaning to write a post on WCC trace sections for a while. searchcache - Tells you if you query was found in the WCC search cache. searchquery - Shows the processing of the query as it is converted form what the user submitted to the end query that will be sent to the database. Shows conversion from the universal query syntax to the syntax specific to the search solution WCC is configured to use. services (verbose) - Lists the filters that are called for each service. This will let you know what filters are available for each service and will also tell you what filters are used by WCC add-on components and any custom components you have installed. The How To Component Sample has a list of filters, but it has not been updated since 7.5, so it is a little outdated now. With each new release WCC adds more filters. If you have a filter that has no code attached to it you will see output like this: services/6 09.25 06:40:26.270 IdcServer-423 Called filter event computeDocName with no filter plugins registered When a WCC add-on or custom component uses a filter you will see trace output like this: services/6 09.25 06:40:26.275 IdcServer-423 Calling filter event postValidateCheckinData on class collections.CollectionValidateCheckinData with parameter postValidateCheckinDataservices/6 09.25 06:40:26.275 IdcServer-423 Calling filter event postValidateCheckinData on class collections.CollectionFilters with parameter postValidateCheckinData As you can see from this sample output it is possible to have multiple code points using the same filter. systemdatabase - Dumps the database call AFTER it executes. This can be somewhat troublesome if you are trying to track down some weird database problems. We had a problem where WCC was getting into a deadlock situation. We turned on the systemdatabase trace section and thought we had the problem database call, but it turned out since it printed out the database call after it was executed we were looking at the database call BEFORE the one causing the deadlock. We ended up having to turn on tracing at the database level to see the database call WCC was making that was causing the deadlock. socketrequests (verbose) - dumps the actual messages received and sent over the socket connection by WCC for a service. If you have gzip enabled you will see junk on the response coming back from WCC. For debugging disable the gzip of the WCC response.Here is an example of the dump of the request for a GET_SEARCH_RESULTS service call. socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: REMOTE_USER=sysadmin.USER-AGENT=Java;.Stel socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: lent.CIS.11g.CONTENT_TYPE=text/html.HEADER socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: _ENCODING=UTF-8.REQUEST_METHOD=POST.CONTEN socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: T_LENGTH=270.HTTP_HOST=CIS.$$$$.NoHttpHead socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: ers=0.IsJava=1.IdcService=GET_SEARCH_RESUL socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: [email protected] socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: calData.SortField=dDocName.ClientEncoding= socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: UTF-8.IdcService=GET_SEARCH_RESULTS.UserTi socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: meZone=UTC.UserDateFormat=iso8601.SortDesc socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: =ASC.QueryText=dDocType..matches..`Documen socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: t`.@end. userstorage, jps - Provides trace details for user authentication and authorization. Includes information on the determination of what roles and accounts a user has access to. In 11g a new trace section, jps, was added with the addition of the JpsUserProvider to communicate with WebLogic Server. The WCC developers decide when to use the verbose option for their trace output, so sometime you need to try verbose to see what different information you get. One of the things I would always have liked to see if the ability to turn on verbose output selectively for individual trace sections. When you turn on verbose output you get it for all trace sections you have enabled. This can quickly fill up your trace files with a lot of information if you have the socket trace section turned on.

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Integrating Windows Form Click Once Application into SharePoint 2007 – Part 2 of 4

- by Kelly Jones

In my last post, I explained why we decided to use a Click Once application to solve our business problem. To quickly review, we needed a way for our business users to upload documents to a SharePoint 2007 document library in mass, set the meta data, set the permissions per document, and to do so easily. Let’s look at the pieces that make up our solution. First, we have the Windows Form application. This app is deployed using Click Once and calls SharePoint web services in order to upload files and then calls web services to set the meta data (SharePoint columns and permissions). Second, we have a custom action. The custom action is responsible for providing our users a link that will launch the Windows app, as well as passing values to it via the query string. And lastly, we have the web services that the Windows Form application calls. For our solution, we used both out of the box web services and a custom web service in order to set the column values in the document library as well as the permissions on the documents. Now, let’s look at the technical details of each of these pieces. (All of the code is downloadable from here: ) Windows Form application deployed via Click Once The Windows Form application, called “Custom Upload”, has just a few classes in it: Custom Upload -- the form FileList.xsd -- the dataset used to track the names of the files and their meta data values SharePointUpload -- this class handles uploading the file SharePointUpload uses an HttpWebRequest to transfer the file to the web server. We had to change this code from a WebClient object to the HttpWebRequest object, because we needed to be able to set the time out value. public bool UploadDocument(string localFilename, string remoteFilename) { bool result = true; //Need to use an HttpWebRequest object instead of a WebClient object // so we can set the timeout (WebClient doesn't allow you to set the timeout!) HttpWebRequest req = (HttpWebRequest)WebRequest.Create(remoteFilename); try { req.Method = "PUT"; req.Timeout = 60 * 1000; //convert seconds to milliseconds req.AllowWriteStreamBuffering = true; req.Credentials = System.Net.CredentialCache.DefaultCredentials; req.SendChunked = false; req.KeepAlive = true; Stream reqStream = req.GetRequestStream(); FileStream rdr = new FileStream(localFilename, FileMode.Open, FileAccess.Read); byte[] inData = new byte[4096]; int bytesRead = rdr.Read(inData, 0, inData.Length); while (bytesRead > 0) { reqStream.Write(inData, 0, bytesRead); bytesRead = rdr.Read(inData, 0, inData.Length); } reqStream.Close(); rdr.Close(); System.Net.HttpWebResponse response = (HttpWebResponse)req.GetResponse(); if (response.StatusCode != HttpStatusCode.OK && response.StatusCode != HttpStatusCode.Created) { String msg = String.Format("An error occurred while uploading this file: {0}\n\nError response code: {1}", System.IO.Path.GetFileName(localFilename), response.StatusCode.ToString()); LogWarning(msg, "2ACFFCCA-59BA-40c8-A9AB-05FA3331D223"); result = false; } } catch (Exception ex) { LogException(ex, "{E9D62A93-D298-470d-A6BA-19AAB237978A}"); result = false; } return result; } The class also contains the LogException() and LogWarning() methods. When the application is launched, it parses the query string for some initial values. The query string looks like this: string queryString = "Srv=clickonce&Sec=N&Doc=DMI&SiteName=&Speed=128000&Max=50"; This Srv is the path to the server (my Virtual Machine is name “clickonce”), the Sec is short for security – meaning HTTPS or HTTP, the Doc is the shortcut for which document library to use, and SiteName is the name of the SharePoint site. Speed is used to calculate an estimate for download speed for each file. We added this so our users uploading documents would realize how long it might take for clients in remote locations (using slow WAN connections) to download the documents. The last value, Max, is the maximum size that the SharePoint site will allow documents to be. This allowed us to give users a warning that a file is too large before we even attempt to upload it. Another critical piece is the meta data collection. We organized our site using SharePoint content types, so when the app loads, it gets a list of the document library’s content types. The user then select one of the content types from the drop down list, and then we query SharePoint to get a list of the fields that make up that content type. We used both an out of the box web service, and one that we custom built, in order to get these values. Once we have the content type fields, we then add controls to the form. Which type of control we add depends on the data type of the field. (DateTime pickers for date/time fields, etc) We didn’t write code to cover every data type, since we were working with a limited set of content types and field data types. Here’s a screen shot of the Form, before and after someone has selected the content types and our code has added the custom controls: The other piece of meta data we collect is the in the upper right corner of the app, “Users with access”. This box lists the different SharePoint Groups that we have set up and by checking the boxes, the user can set the permissions on the uploaded documents. All of this meta data is collected and submitted to our custom web service, which then sets the values on the documents on the list. We’ll look at these web services in a future post. In the next post, we’ll walk through the Custom Action we built.

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