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• Implementing a robust async stream reader for a console

  - by Jon

  I recently provided an answer to this question: C# - Realtime console output redirection. As often happens, explaining stuff (here "stuff" was how I tackled a similar problem) leads you to greater understanding and/or, as is the case here, "oops" moments. I realized that my solution, as implemented, has a bug. The bug has little practical importance, but it has an extremely large importance to me as a developer: I can't rest easy knowing that my code has the potential to blow up. Squashing the bug is the purpose of this question. I apologize for the long intro, so let's get dirty. I wanted to build a class that allows me to receive input from a Stream in an event-based manner. The stream, in my scenario, is guaranteed to be a FileStream and there is also an associated StreamReader already present to leverage. The public interface of the class is this: public class MyStreamManager { public event EventHandler<ConsoleOutputReadEventArgs> StandardOutputRead; public void StartSendingEvents(); public void StopSendingEvents(); } Obviously this specific scenario has to do with a console's standard output. StartSendingEvents and StopSendingEvents do what they advertise; for the purposes of this discussion, we can assume that events are always being sent without loss of generality. The class uses these two fields internally: protected readonly StringBuilder inputAccumulator = new StringBuilder(); protected readonly byte[] buffer = new byte[256]; The functionality of the class is implemented in the methods below. To get the ball rolling: public void StartSendingEvents(); { this.stopAutomation = false; this.BeginReadAsync(); } To read data out of the Stream without blocking, and also without requiring a carriage return char, BeginRead is called: protected void BeginReadAsync() { if (!this.stopAutomation) { this.StandardOutput.BaseStream.BeginRead( this.buffer, 0, this.buffer.Length, this.ReadHappened, null); } } The challenging part: BeginRead requires using a buffer. This means that when reading from the stream, it is possible that the bytes available to read ("incoming chunk") are larger than the buffer. Since we are only handing off data from the stream to a consumer, and that consumer may well have inside knowledge about the size and/or format of these chunks, I want to call event subscribers exactly once for each chunk. Otherwise the abstraction breaks down and the subscribers have to buffer the incoming data and reconstruct the chunks themselves using said knowledge. This is much less convenient to the calling code, and detracts from the usefulness of my class. Edit: There are comments below correctly stating that since the data is coming from a stream, there is absolutely nothing that the receiver can infer about the structure of the data unless it is fully prepared to parse it. What I am trying to do here is leverage the "flush the output" "structure" that the owner of the console imparts while writing on it. I am prepared to assume (better: allow my caller to have the option to assume) that the OS will pass me the data written between two flushes of the stream in exactly one piece. To this end, if the buffer is full after EndRead, we don't send its contents to subscribers immediately but instead append them to a StringBuilder. The contents of the StringBuilder are only sent back whenever there is no more to read from the stream (thus preserving the chunks). private void ReadHappened(IAsyncResult asyncResult) { var bytesRead = this.StandardOutput.BaseStream.EndRead(asyncResult); if (bytesRead == 0) { this.OnAutomationStopped(); return; } var input = this.StandardOutput.CurrentEncoding.GetString( this.buffer, 0, bytesRead); this.inputAccumulator.Append(input); if (bytesRead < this.buffer.Length) { this.OnInputRead(); // only send back if we 're sure we got it all } this.BeginReadAsync(); // continue "looping" with BeginRead } After any read which is not enough to fill the buffer, all accumulated data is sent to the subscribers: private void OnInputRead() { var handler = this.StandardOutputRead; if (handler == null) { return; } handler(this, new ConsoleOutputReadEventArgs(this.inputAccumulator.ToString())); this.inputAccumulator.Clear(); } (I know that as long as there are no subscribers the data gets accumulated forever. This is a deliberate decision). The good This scheme works almost perfectly: Async functionality without spawning any threads Very convenient to the calling code (just subscribe to an event) Maintains the "chunkiness" of the data; this allows the calling code to use inside knowledge of the data without doing any extra work Is almost agnostic to the buffer size (it will work correctly with any size buffer irrespective of the data being read) The bad That last almost is a very big one. Consider what happens when there is an incoming chunk with length exactly equal to the size of the buffer. The chunk will be read and buffered, but the event will not be triggered. This will be followed up by a BeginRead that expects to find more data belonging to the current chunk in order to send it back all in one piece, but... there will be no more data in the stream. In fact, as long as data is put into the stream in chunks with length exactly equal to the buffer size, the data will be buffered and the event will never be triggered. This scenario may be highly unlikely to occur in practice, especially since we can pick any number for the buffer size, but the problem is there. Solution? Unfortunately, after checking the available methods on FileStream and StreamReader, I can't find anything which lets me peek into the stream while also allowing async methods to be used on it. One "solution" would be to have a thread wait on a ManualResetEvent after the "buffer filled" condition is detected. If the event is not signaled (by the async callback) in a small amount of time, then more data from the stream will not be forthcoming and the data accumulated so far should be sent to subscribers. However, this introduces the need for another thread, requires thread synchronization, and is plain inelegant. Specifying a timeout for BeginRead would also suffice (call back into my code every now and then so I can check if there's data to be sent back; most of the time there will not be anything to do, so I expect the performance hit to be negligible). But it looks like timeouts are not supported in FileStream. Since I imagine that async calls with timeouts are an option in bare Win32, another approach might be to PInvoke the hell out of the problem. But this is also undesirable as it will introduce complexity and simply be a pain to code. Is there an elegant way to get around the problem? Thanks for being patient enough to read all of this.

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• SQL Monitor’s data repository: Alerts

  - by Chris Lambrou

  In my previous post, I introduced the SQL Monitor data repository, and described how the monitored objects are stored in a hierarchy in the data schema, in a series of tables with a _Keys suffix. In this post I had planned to describe how the actual data for the monitored objects is stored in corresponding tables with _StableSamples and _UnstableSamples suffixes. However, I’m going to postpone that until my next post, as I’ve had a request from a SQL Monitor user to explain how alerts are stored. In the SQL Monitor data repository, alerts are stored in tables belonging to the alert schema, which contains the following five tables: alert.Alert alert.Alert_Cleared alert.Alert_Comment alert.Alert_Severity alert.Alert_Type In this post, I’m only going to cover the alert.Alert and alert.Alert_Type tables. I may cover the other three tables in a later post. The most important table in this schema is alert.Alert, as each row in this table corresponds to a single alert. So let’s have a look at it. SELECT TOP 100 AlertId, AlertType, TargetObject, [Read], SubType FROM alert.Alert ORDER BY AlertId DESC;  AlertIdAlertTypeTargetObjectReadSubType 165550397:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,10 265549387:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,10 365548187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 11…     So what are we seeing here, then? Well, AlertId is an auto-incrementing identity column, so ORDER BY AlertId DESC ensures that we see the most recent alerts first. AlertType indicates the type of each alert, such as Job failed (6), Backup overdue (14) or Long-running query (12). The TargetObject column indicates which monitored object the alert is associated with. The Read column acts as a flag to indicate whether or not the alert has been read. And finally the SubType column is used in the case of a Custom metric (40) alert, to indicate which custom metric the alert pertains to. Okay, now lets look at some of those columns in more detail. The AlertType column is an easy one to start with, and it brings use nicely to the next table, data.Alert_Type. Let’s have a look at what’s in this table: SELECT AlertType, Event, Monitoring, Name, Description FROM alert.Alert_Type ORDER BY AlertType;  AlertTypeEventMonitoringNameDescription 1100Processor utilizationProcessor utilization (CPU) on a host machine stays above a threshold percentage for longer than a specified duration 2210SQL Server error log entryAn error is written to the SQL Server error log with a severity level above a specified value. 3310Cluster failoverThe active cluster node fails, causing the SQL Server instance to switch nodes. 4410DeadlockSQL deadlock occurs. 5500Processor under-utilizationProcessor utilization (CPU) on a host machine remains below a threshold percentage for longer than a specified duration 6610Job failedA job does not complete successfully (the job returns an error code). 7700Machine unreachableHost machine (Windows server) cannot be contacted on the network. 8800SQL Server instance unreachableThe SQL Server instance is not running or cannot be contacted on the network. 9900Disk spaceDisk space used on a logical disk drive is above a defined threshold for longer than a specified duration. 101000Physical memoryPhysical memory (RAM) used on the host machine stays above a threshold percentage for longer than a specified duration. 111100Blocked processSQL process is blocked for longer than a specified duration. 121200Long-running queryA SQL query runs for longer than a specified duration. 131400Backup overdueNo full backup exists, or the last full backup is older than a specified time. 141500Log backup overdueNo log backup exists, or the last log backup is older than a specified time. 151600Database unavailableDatabase changes from Online to any other state. 161700Page verificationTorn Page Detection or Page Checksum is not enabled for a database. 171800Integrity check overdueNo entry for an integrity check (DBCC DBINFO returns no date for dbi_dbccLastKnownGood field), or the last check is older than a specified time. 181900Fragmented indexesFragmentation level of one or more indexes is above a threshold percentage. 192400Job duration unusualThe duration of a SQL job duration deviates from its baseline duration by more than a threshold percentage. 202501Clock skewSystem clock time on the Base Monitor computer differs from the system clock time on a monitored SQL Server host machine by a specified number of seconds. 212700SQL Server Agent Service statusThe SQL Server Agent Service status matches the status specified. 222800SQL Server Reporting Service statusThe SQL Server Reporting Service status matches the status specified. 232900SQL Server Full Text Search Service statusThe SQL Server Full Text Search Service status matches the status specified. 243000SQL Server Analysis Service statusThe SQL Server Analysis Service status matches the status specified. 253100SQL Server Integration Service statusThe SQL Server Integration Service status matches the status specified. 263300SQL Server Browser Service statusThe SQL Server Browser Service status matches the status specified. 273400SQL Server VSS Writer Service statusThe SQL Server VSS Writer status matches the status specified. 283501Deadlock trace flag disabledThe monitored SQL Server’s trace flag cannot be enabled. 293600Monitoring stopped (host machine credentials)SQL Monitor cannot contact the host machine because authentication failed. 303700Monitoring stopped (SQL Server credentials)SQL Monitor cannot contact the SQL Server instance because authentication failed. 313800Monitoring error (host machine data collection)SQL Monitor cannot collect data from the host machine. 323900Monitoring error (SQL Server data collection)SQL Monitor cannot collect data from the SQL Server instance. 334000Custom metricThe custom metric value has passed an alert threshold. 344100Custom metric collection errorSQL Monitor cannot collect custom metric data from the target object. Basically, alert.Alert_Type is just a big reference table containing information about the 34 different alert types supported by SQL Monitor (note that the largest id is 41, not 34 – some alert types have been retired since SQL Monitor was first developed). The Name and Description columns are self evident, and I’m going to skip over the Event and Monitoring columns as they’re not very interesting. The AlertId column is the primary key, and is referenced by AlertId in the alert.Alert table. As such, we can rewrite our earlier query to join these two tables, in order to provide a more readable view of the alerts: SELECT TOP 100 AlertId, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType ORDER BY AlertId DESC;  AlertIdNameTargetObjectReadSubType 165550Monitoring error (SQL Server data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,00 265549Monitoring error (host machine data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,00 365548Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 Okay, the next column to discuss in the alert.Alert table is TargetObject. Oh boy, this one’s a bit tricky! The TargetObject of an alert is a serialized string representation of the position in the monitored object hierarchy of the object to which the alert pertains. The serialization format is somewhat convenient for parsing in the C# source code of SQL Monitor, and has some helpful characteristics, but it’s probably very awkward to manipulate in T-SQL. I could document the serialization format here, but it would be very dry reading, so perhaps it’s best to consider an example from the table above. Have a look at the alert with an AlertID of 65543. It’s a Backup overdue alert for the SqlMonitorData database running on the default instance of granger, my laptop. Each different alert type is associated with a specific type of monitored object in the object hierarchy (I described the hierarchy in my previous post). The Backup overdue alert is associated with databases, whose position in the object hierarchy is root → Cluster → SqlServer → Database. The TargetObject value identifies the target object by specifying the key properties at each level in the hierarchy, thus: Cluster: Name = "granger" SqlServer: Name = "" (an empty string, denoting the default instance) Database: Name = "SqlMonitorData" Well, look at the actual TargetObject value for this alert: "7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,". It is indeed composed of three parts, one for each level in the hierarchy: Cluster: "7:Cluster,1,4:Name,s7:granger," SqlServer: "9:SqlServer,1,4:Name,s0:," Database: "8:Database,1,4:Name,s14:SqlMonitorData," Each part is handled in exactly the same way, so let’s concentrate on the first part, "7:Cluster,1,4:Name,s7:granger,". It comprises the following: "7:Cluster," – This identifies the level in the hierarchy. "1," – This indicates how many different key properties there are to uniquely identify a cluster (we saw in my last post that each cluster is identified by a single property, its Name). "4:Name,s14:SqlMonitorData," – This represents the Name property, and its corresponding value, SqlMonitorData. It’s split up like this: "4:Name," – Indicates the name of the key property. "s" – Indicates the type of the key property, in this case, it’s a string. "14:SqlMonitorData," – Indicates the value of the property. At this point, you might be wondering about the format of some of these strings. Why is the string "Cluster" stored as "7:Cluster,"? Well an encoding scheme is used, which consists of the following: "7" – This is the length of the string "Cluster" ":" – This is a delimiter between the length of the string and the actual string’s contents. "Cluster" – This is the string itself. 7 characters. "," – This is a final terminating character that indicates the end of the encoded string. You can see that "4:Name,", "8:Database," and "14:SqlMonitorData," also conform to the same encoding scheme. In the example above, the "s" character is used to indicate that the value of the Name property is a string. If you explore the TargetObject property of alerts in your own SQL Monitor data repository, you might find other characters used for other non-string key property values. The different value types you might possibly encounter are as follows: "I" – Denotes a bigint value. For example, "I65432,". "g" – Denotes a GUID value. For example, "g32116732-63ae-4ab5-bd34-7dfdfb084c18,". "d" – Denotes a datetime value. For example, "d634815384796832438,". The value is stored as a bigint, rather than a native SQL datetime value. I’ll describe how datetime values are handled in the SQL Monitor data repostory in a future post. I suggest you have a look at the alerts in your own SQL Monitor data repository for further examples, so you can see how the TargetObject values are composed for each of the different types of alert. Let me give one further example, though, that represents a Custom metric alert, as this will help in describing the final column of interest in the alert.Alert table, SubType. Let me show you the alert I’m interested in: SELECT AlertId, a.AlertType, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType WHERE AlertId = 65769;  AlertIdAlertTypeNameTargetObjectReadSubType 16576940Custom metric7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 An AlertType value of 40 corresponds to the Custom metric alert type. The Name taken from the alert.Alert_Type table is simply Custom metric, but this doesn’t tell us anything about the specific custom metric that this alert pertains to. That’s where the SubType value comes in. For custom metric alerts, this provides us with the Id of the specific custom alert definition that can be found in the settings.CustomAlertDefinitions table. I don’t really want to delve into custom alert definitions yet (maybe in a later post), but an extra join in the previous query shows us that this alert pertains to the CPU pressure (avg runnable task count) custom metric alert. SELECT AlertId, a.AlertType, at.Name, cad.Name AS CustomAlertName, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType JOIN settings.CustomAlertDefinitions cad ON a.SubType = cad.Id WHERE AlertId = 65769;  AlertIdAlertTypeNameCustomAlertNameTargetObjectReadSubType 16576940Custom metricCPU pressure (avg runnable task count)7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 The TargetObject value in this case breaks down like this: "7:Cluster,1,4:Name,s7:granger," – Cluster named "granger". "9:SqlServer,1,4:Name,s0:," – SqlServer named "" (the default instance). "8:Database,1,4:Name,s6:master," – Database named "master". "12:CustomMetric,1,8:MetricId,I2," – Custom metric with an Id of 2. Note that the hierarchy for a custom metric is slightly different compared to the earlier Backup overdue alert. It’s root → Cluster → SqlServer → Database → CustomMetric. Also notice that, unlike Cluster, SqlServer and Database, the key property for CustomMetric is called MetricId (not Name), and the value is a bigint (not a string). Finally, delving into the custom metric tables is beyond the scope of this post, but for the sake of avoiding any future confusion, I’d like to point out that whilst the SubType references a custom alert definition, the MetricID value embedded in the TargetObject value references a custom metric definition. Although in this case both the custom metric definition and custom alert definition share the same Id value of 2, this is not generally the case. Okay, that’s enough for now, not least because as I’m typing this, it’s almost 2am, I have to go to work tomorrow, and my alarm is set for 6am – eek! In my next post, I’ll either cover the remaining three tables in the alert schema, or I’ll delve into the way SQL Monitor stores its monitoring data, as I’d originally planned to cover in this post.

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• Getting Started with Chart control in ASP.Net 4.0

  - by sreejukg

  In this article I am going to demonstrate the Chart control available in ASP.Net 4 and Visual Studio 2010. Most of the web applications need to generate reports for business users. The business users are happy to view the results in a graphical format more that seeing it in numbers. For the purpose of this demonstration, I have created a sales table. I am going to create charts from this sale data. The sale table looks as follows I have created an ASP.Net web application project in Visual Studio 2010. I have a default.aspx page that I am going to use for the demonstration. First I am going to add a chart control to the page. Visual Studio 2010 has a chart control. The Chart Control comes under the Data Tab in the toolbox. Drag and drop the Chart control to the default.aspx page. Visual Studio adds the below markup to the page. <asp:Chart ID="Chart1" runat="server"></asp:Chart> In the designer view, the Chart controls gives the following output. As you can see this is exactly similar to other server controls in ASP.Net, and similar to other controls under the data tab, Chart control is also a data bound control. So I am going to bind this with my sales data. From the design view, right click the chart control and select “show smart tag” Here you need so choose the Data source property and the chart type. From the choose data source drop down, select new data source. In the data source configuration wizard, select the SQL data base and write the query to retrieve the data. At first I am going to show the chart for amount of sales done by each sales person. I am going to use the following query inside sqldatasource select command. “SELECT SUM(SaleAmount) AS Expr1, salesperson FROM SalesData GROUP BY SalesPerson” This query will give me the amount of sales achieved by each sales person. The mark up of SQLDataSource is as follows. <asp:SqlDataSource ID="SqlDataSource1" runat="server" ConnectionString="<%$ ConnectionStrings:SampleConnectionString %>" SelectCommand="SELECT SUM(SaleAmount) as amount, SalesPerson FROM SalesData GROUP BY SalesPerson"></asp:SqlDataSource> Once you selected the data source for the chart control, you need to select the X and Y values for the columns. I have entered salesperson in the X Value member and amount in the Y value member. After modifications, the Chart control looks as follows Click F5 to run the application. The output of the page is as follows. Using ASP.Net it is much easier to represent your data in graphical format. To show this chart, I didn’t even write any single line of code. The chart control is a great tool that helps the developer to show the business intelligence in their applications without using third party products. I will write another blog that explore further possibilities that shows more reports by using the same sales data. If you want to get the Project in zipped format, post your email below.

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• July, the 31 Days of SQL Server DMO’s – Day 23 (sys.dm_db_index_usage_stats)

  - by Tamarick Hill

  The sys.dm_db_index_usage_stats Dynamic Management View is used to return usage information about the various indexes on your SQL Server instance. Let’s have a look at this DMV against our AdventureWorks2012 database so we can examine the information returned. SELECT * FROM sys.dm_db_index_usage_stats WHERE database_id = db_id('AdventureWorks2012') The first three columns in the result set represent the database_id, object_id, and index_id of a given row. You can join these columns back to other system tables to extract the actual database, object, and index names. The next four columns are probably the most beneficial columns within this DMV. First, the user_seeks column represents the number of times that a user query caused a seek operation against a particular index. The user_scans column represents how many times a user query caused a scan operation on a particular index. The user_lookups column represents how many times an index was used to perform a lookup operation. The user_updates column refers to how many times an index had to be updated due to a write operation that effected a particular index. The last_user_seek, last_user_scan, last_user_lookup, and last_user_update columns provide you with DATETIME information about when the last user scan, seek, lookup, or update operation was performed. The remaining columns in the result set are the same as the ones we previously discussed, except instead of the various operations being generated from user requests, they are generated from system background requests. This is an extremely useful DMV and one of my favorites when it comes to Index Maintenance. As we all know, indexes are extremely beneficial with improving the performance of your read operations. But indexes do have a downside as well. Indexes slow down the performance of your write operations, and they also require additional resources for storage. For this reason, in my opinion, it is important to regularly analyze the indexes on your system to make sure the indexes you have are being used efficiently. My AdventureWorks2012 database is only used for demonstrating or testing things, so I dont have a lot of meaningful information here, but for a Production system, if you see an index that is never getting any seeks, scans, or lookups, but is constantly getting a ton of updates, it more than likely would be a good candidate for you to consider removing. You would not be getting much benefit from the index, but yet it is incurring a cost on your system due to it constantly having to be updated for your write operations, not to mention the additional storage it is consuming. You should regularly analyze your indexes to ensure you keep your database systems as efficient and lean as possible. One thing to note is that these DMV statistics are reset every time SQL Server is restarted. Therefore it would not be a wise idea to make decisions about removing indexes after a Server Reboot or a cluster roll. If you restart your SQL Server instances frequently, for example if you schedule weekly/monthly cluster rolls, then you may not capture indexes that are being used for weekly/monthly reports that run for business users. And if you remove them, you may have some upset people at your desk on Monday morning. If you would like to begin analyzing your indexes to possibly remove the ones that your system is not using, I would recommend building a process to load this DMV information into a table on scheduled basis, depending on how frequently you perform an operation that would reset these statistics, then you can analyze the data over a period of time to get a more accurate view of what indexes are really being used and which ones or not. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms188755.aspx Follow me on Twitter @PrimeTimeDBA

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• When I shutdown the computer, it restarts

  - by Prabu

  I am unable to shutdown. Whenever I try to shutdown, it reboots. I am running Ubuntu 12.10. I have run the boot-repair and this is the result: Boot Info Script 0.61.full + Boot-Repair extra info [Boot-Info November 20th 2012] ============================= Boot Info Summary: =============================== => Grub2 (v2.00) is installed in the MBR of /dev/sda and looks at sector 1 of the same hard drive for core.img. core.img is at this location and looks in partition 1 for (,msdos1)/boot/grub. sda1: __________________________________________________________________________ File system: ext4 Boot sector type: - Boot sector info: Operating System: Ubuntu 12.10 Boot files: /boot/grub/grub.cfg /etc/fstab /boot/grub/i386-pc/core.img sda2: __________________________________________________________________________ File system: Extended Partition Boot sector type: - Boot sector info: sda5: __________________________________________________________________________ File system: swap Boot sector type: - Boot sector info: ============================ Drive/Partition Info: ============================= Drive: sda _____________________________________________________________________ Disk /dev/sda: 1000.2 GB, 1000204886016 bytes 255 heads, 63 sectors/track, 121601 cylinders, total 1953525168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 4096 bytes Partition Boot Start Sector End Sector # of Sectors Id System /dev/sda1 * 2,048 1,936,809,983 1,936,807,936 83 Linux /dev/sda2 1,936,812,030 1,953,523,711 16,711,682 5 Extended /dev/sda5 1,936,812,032 1,953,523,711 16,711,680 82 Linux swap / Solaris "blkid" output: ________________________________________________________________ Device UUID TYPE LABEL /dev/loop0 squashfs /dev/sda1 229a5484-7659-4ce1-98ce-2f05f61a1ffa ext4 /dev/sda5 6c6dca25-ab67-4de4-8602-26fdb6154781 swap /dev/sr0 iso9660 Ubuntu 12.10 amd64 ================================ Mount points: ================================= Device Mount_Point Type Options /dev/loop0 /rofs squashfs (ro,noatime) /dev/sr0 /cdrom iso9660 (ro,noatime) =========================== sda1/boot/grub/grub.cfg: =========================== -------------------------------------------------------------------------------- # # DO NOT EDIT THIS FILE # # It is automatically generated by grub-mkconfig using templates # from /etc/grub.d and settings from /etc/default/grub # ### BEGIN /etc/grub.d/00_header ### if [ -s $prefix/grubenv ]; then set have_grubenv=true load_env fi set default="0" if [ x"${feature_menuentry_id}" = xy ]; then menuentry_id_option="--id" else menuentry_id_option="" fi export menuentry_id_option if [ "${prev_saved_entry}" ]; then set saved_entry="${prev_saved_entry}" save_env saved_entry set prev_saved_entry= save_env prev_saved_entry set boot_once=true fi function savedefault { if [ -z "${boot_once}" ]; then saved_entry="${chosen}" save_env saved_entry fi } function recordfail { set recordfail=1 if [ -n "${have_grubenv}" ]; then if [ -z "${boot_once}" ]; then save_env recordfail; fi; fi } function load_video { if [ x$feature_all_video_module = xy ]; then insmod all_video else insmod efi_gop insmod efi_uga insmod ieee1275_fb insmod vbe insmod vga insmod video_bochs insmod video_cirrus fi } if [ x$feature_default_font_path = xy ] ; then font=unicode else insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi font="/usr/share/grub/unicode.pf2" fi if loadfont $font ; then set gfxmode=auto load_video insmod gfxterm set locale_dir=$prefix/locale set lang=en_US insmod gettext fi terminal_output gfxterm if [ "${recordfail}" = 1 ]; then set timeout=10 else set timeout=10 fi ### END /etc/grub.d/00_header ### ### BEGIN /etc/grub.d/05_debian_theme ### set menu_color_normal=white/black set menu_color_highlight=black/light-gray if background_color 44,0,30; then clear fi ### END /etc/grub.d/05_debian_theme ### ### BEGIN /etc/grub.d/10_linux ### function gfxmode { set gfxpayload="${1}" if [ "${1}" = "keep" ]; then set vt_handoff=vt.handoff=7 else set vt_handoff= fi } if [ "${recordfail}" != 1 ]; then if [ -e ${prefix}/gfxblacklist.txt ]; then if hwmatch ${prefix}/gfxblacklist.txt 3; then if [ ${match} = 0 ]; then set linux_gfx_mode=keep else set linux_gfx_mode=text fi else set linux_gfx_mode=text fi else set linux_gfx_mode=keep fi else set linux_gfx_mode=text fi export linux_gfx_mode if [ "${linux_gfx_mode}" != "text" ]; then load_video; fi menuentry 'Ubuntu' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-simple-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { recordfail gfxmode $linux_gfx_mode insmod gzio insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi linux /boot/vmlinuz-3.5.0-19-generic root=UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa ro quiet splash acpi=force $vt_handoff initrd /boot/initrd.img-3.5.0-19-generic } submenu 'Advanced options for Ubuntu' $menuentry_id_option 'gnulinux-advanced-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { menuentry 'Ubuntu, with Linux 3.5.0-19-generic' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-3.5.0-19-generic-advanced-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { recordfail gfxmode $linux_gfx_mode insmod gzio insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi echo 'Loading Linux 3.5.0-19-generic ...' linux /boot/vmlinuz-3.5.0-19-generic root=UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa ro quiet splash acpi=force $vt_handoff echo 'Loading initial ramdisk ...' initrd /boot/initrd.img-3.5.0-19-generic } menuentry 'Ubuntu, with Linux 3.5.0-19-generic (recovery mode)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-3.5.0-19-generic-recovery-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { recordfail insmod gzio insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi echo 'Loading Linux 3.5.0-19-generic ...' linux /boot/vmlinuz-3.5.0-19-generic root=UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa ro recovery nomodeset echo 'Loading initial ramdisk ...' initrd /boot/initrd.img-3.5.0-19-generic } menuentry 'Ubuntu, with Linux 3.5.0-17-generic' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-3.5.0-17-generic-advanced-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { recordfail gfxmode $linux_gfx_mode insmod gzio insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi echo 'Loading Linux 3.5.0-17-generic ...' linux /boot/vmlinuz-3.5.0-17-generic root=UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa ro quiet splash acpi=force $vt_handoff echo 'Loading initial ramdisk ...' initrd /boot/initrd.img-3.5.0-17-generic } menuentry 'Ubuntu, with Linux 3.5.0-17-generic (recovery mode)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-3.5.0-17-generic-recovery-229a5484-7659-4ce1-98ce-2f05f61a1ffa' { recordfail insmod gzio insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi echo 'Loading Linux 3.5.0-17-generic ...' linux /boot/vmlinuz-3.5.0-17-generic root=UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa ro recovery nomodeset echo 'Loading initial ramdisk ...' initrd /boot/initrd.img-3.5.0-17-generic } } ### END /etc/grub.d/10_linux ### ### BEGIN /etc/grub.d/20_linux_xen ### ### END /etc/grub.d/20_linux_xen ### ### BEGIN /etc/grub.d/20_memtest86+ ### menuentry "Memory test (memtest86+)" { insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi linux16 /boot/memtest86+.bin } menuentry "Memory test (memtest86+, serial console 115200)" { insmod part_msdos insmod ext2 set root='hd0,msdos1' if [ x$feature_platform_search_hint = xy ]; then search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 229a5484-7659-4ce1-98ce-2f05f61a1ffa else search --no-floppy --fs-uuid --set=root 229a5484-7659-4ce1-98ce-2f05f61a1ffa fi linux16 /boot/memtest86+.bin console=ttyS0,115200n8 } ### END /etc/grub.d/20_memtest86+ ### ### BEGIN /etc/grub.d/30_os-prober ### ### END /etc/grub.d/30_os-prober ### ### BEGIN /etc/grub.d/30_uefi-firmware ### ### END /etc/grub.d/30_uefi-firmware ### ### BEGIN /etc/grub.d/40_custom ### # This file provides an easy way to add custom menu entries. Simply type the # menu entries you want to add after this comment. Be careful not to change # the 'exec tail' line above. ### END /etc/grub.d/40_custom ### ### BEGIN /etc/grub.d/41_custom ### if [ -f ${config_directory}/custom.cfg ]; then source ${config_directory}/custom.cfg elif [ -z "${config_directory}" -a -f $prefix/custom.cfg ]; then source $prefix/custom.cfg; fi ### END /etc/grub.d/41_custom ### -------------------------------------------------------------------------------- =============================== sda1/etc/fstab: ================================ -------------------------------------------------------------------------------- # /etc/fstab: static file system information. # # Use 'blkid' to print the universally unique identifier for a # device; this may be used with UUID= as a more robust way to name devices # that works even if disks are added and removed. See fstab(5). # # <file system> <mount point> <type> <options> <dump> <pass> # / was on /dev/sda1 during installation UUID=229a5484-7659-4ce1-98ce-2f05f61a1ffa / ext4 errors=remount-ro 0 1 # swap was on /dev/sda5 during installation UUID=6c6dca25-ab67-4de4-8602-26fdb6154781 none swap sw 0 0 -------------------------------------------------------------------------------- =================== sda1: Location of files loaded by Grub: ==================== GiB - GB File Fragment(s) 200.155235291 = 214.915047424 boot/grub/grub.cfg 1 40.280788422 = 43.251167232 boot/initrd.img-3.5.0-17-generic 1 2.468288422 = 2.650304512 boot/initrd.img-3.5.0-19-generic 1 200.149234772 = 214.908604416 boot/vmlinuz-3.5.0-17-generic 1 1.990135193 = 2.136891392 boot/vmlinuz-3.5.0-19-generic 1 2.468288422 = 2.650304512 initrd.img 1 1.990135193 = 2.136891392 vmlinuz 1 1.990135193 = 2.136891392 vmlinuz.old 1 =============================== StdErr Messages: =============================== cat: write error: Broken pipe File descriptor 8 (/proc/6297/mounts) leaked on lvscan invocation. Parent PID 13390: bash No volume groups found ADDITIONAL INFORMATION : =================== log of boot-repair 2012-12-17__01h53 =================== boot-repair version : 3.197~ppa1~quantal boot-sav version : 3.197~ppa1~quantal glade2script version : 3.2.2~ppa45~quantal boot-sav-extra version : 3.197~ppa1~quantal boot-repair is executed in live-session (Ubuntu 12.10, quantal, Ubuntu, x86_64) CPU op-mode(s): 32-bit, 64-bit file=/cdrom/preseed/ubuntu.seed boot=casper initrd=/casper/initrd.lz quiet splash -- maybe-ubiquity =================== os-prober: /dev/sda1:Ubuntu 12.10 (12.10):Ubuntu:linux =================== blkid: /dev/loop0: TYPE="squashfs" /dev/sr0: LABEL="Ubuntu 12.10 amd64" TYPE="iso9660" /dev/sda1: UUID="229a5484-7659-4ce1-98ce-2f05f61a1ffa" TYPE="ext4" /dev/sda5: UUID="6c6dca25-ab67-4de4-8602-26fdb6154781" TYPE="swap" 1 disks with OS, 1 OS : 1 Linux, 0 MacOS, 0 Windows, 0 unknown type OS. Warning: extended partition does not start at a cylinder boundary. DOS and Linux will interpret the contents differently. =================== sda1/etc/default/grub : # If you change this file, run 'update-grub' afterwards to update # /boot/grub/grub.cfg. # For full documentation of the options in this file, see: # info -f grub -n 'Simple configuration' GRUB_DEFAULT=0 GRUB_HIDDEN_TIMEOUT=0 GRUB_HIDDEN_TIMEOUT_QUIET=true GRUB_TIMEOUT=10 GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || echo Debian` GRUB_CMDLINE_LINUX_DEFAULT="quiet splash acpi=force" GRUB_CMDLINE_LINUX="" # Uncomment to enable BadRAM filtering, modify to suit your needs # This works with Linux (no patch required) and with any kernel that obtains # the memory map information from GRUB (GNU Mach, kernel of FreeBSD ...) #GRUB_BADRAM="0x01234567,0xfefefefe,0x89abcdef,0xefefefef" # Uncomment to disable graphical terminal (grub-pc only) #GRUB_TERMINAL=console # The resolution used on graphical terminal # note that you can use only modes which your graphic card supports via VBE # you can see them in real GRUB with the command `vbeinfo' #GRUB_GFXMODE=640x480 # Uncomment if you don't want GRUB to pass "root=UUID=xxx" parameter to Linux #GRUB_DISABLE_LINUX_UUID=true # Uncomment to disable generation of recovery mode menu entries #GRUB_DISABLE_RECOVERY="true" # Uncomment to get a beep at grub start #GRUB_INIT_TUNE="480 440 1" =================== sda1/etc/grub.d/ : drwxr-xr-x 2 root root 4096 Oct 17 14:59 grub.d total 72 -rwxr-xr-x 1 root root 7541 Oct 14 17:36 00_header -rwxr-xr-x 1 root root 5488 Oct 4 09:30 05_debian_theme -rwxr-xr-x 1 root root 10891 Oct 14 17:36 10_linux -rwxr-xr-x 1 root root 10258 Oct 14 17:36 20_linux_xen -rwxr-xr-x 1 root root 1688 Oct 11 14:10 20_memtest86+ -rwxr-xr-x 1 root root 10976 Oct 14 17:36 30_os-prober -rwxr-xr-x 1 root root 1426 Oct 14 17:36 30_uefi-firmware -rwxr-xr-x 1 root root 214 Oct 14 17:36 40_custom -rwxr-xr-x 1 root root 216 Oct 14 17:36 41_custom -rw-r--r-- 1 root root 483 Oct 14 17:36 README =================== UEFI/Legacy mode: This live-session is not in EFI-mode. SecureBoot maybe enabled. =================== PARTITIONS & DISKS: sda1 : sda, not-sepboot, grubenv-ok grub2, grub-pc , update-grub, 64, with-boot, is-os, not--efi--part, fstab-without-boot, fstab-without-efi, no-nt, no-winload, no-recov-nor-hid, no-bmgr, notwinboot, apt-get, grub-install, with--usr, fstab-without-usr, not-sep-usr, standard, farbios, /mnt/boot-sav/sda1. sda : not-GPT, BIOSboot-not-needed, has-no-EFIpart, not-usb, has-os, 2048 sectors * 512 bytes =================== parted -l: Model: ATA ST1000DM003-1CH1 (scsi) Disk /dev/sda: 1000GB Sector size (logical/physical): 512B/4096B Partition Table: msdos Number Start End Size Type File system Flags 1 1049kB 992GB 992GB primary ext4 boot 2 992GB 1000GB 8556MB extended 5 992GB 1000GB 8556MB logical linux-swap(v1) Warning: Unable to open /dev/sr0 read-write (Read-only file system). /dev/sr0 has been opened read-only. Error: Can't have a partition outside the disk! =================== parted -lm: BYT; /dev/sda:1000GB:scsi:512:4096:msdos:ATA ST1000DM003-1CH1; 1:1049kB:992GB:992GB:ext4::boot; 2:992GB:1000GB:8556MB:::; 5:992GB:1000GB:8556MB:linux-swap(v1)::; Warning: Unable to open /dev/sr0 read-write (Read-only file system). /dev/sr0 has been opened read-only. Error: Can't have a partition outside the disk! =================== mount: /cow on / type overlayfs (rw) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) /dev/sr0 on /cdrom type iso9660 (ro,noatime) /dev/loop0 on /rofs type squashfs (ro,noatime) none on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) tmpfs on /tmp type tmpfs (rw,nosuid,nodev) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) none on /run/user type tmpfs (rw,noexec,nosuid,nodev,size=104857600,mode=0755) gvfsd-fuse on /run/user/ubuntu/gvfs type fuse.gvfsd-fuse (rw,nosuid,nodev,user=ubuntu) /dev/sda1 on /mnt/boot-sav/sda1 type ext4 (rw) =================== ls: /sys/block/sda (filtered): alignment_offset bdi capability dev device discard_alignment events events_async events_poll_msecs ext_range holders inflight power queue range removable ro sda1 sda2 sda5 size slaves stat subsystem trace uevent /sys/block/sr0 (filtered): alignment_offset bdi capability dev device discard_alignment events events_async events_poll_msecs ext_range holders inflight power queue range removable ro size slaves stat subsystem trace uevent /dev (filtered): alarm ashmem autofs binder block bsg btrfs-control bus cdrom cdrw char console core cpu cpu_dma_latency disk dri dvd dvdrw ecryptfs fb0 fd full fuse fw0 hidraw0 hidraw1 hpet input kmsg kvm log mapper mcelog mei mem net network_latency network_throughput null oldmem port ppp psaux ptmx pts random rfkill rtc rtc0 sda sda1 sda2 sda5 sg0 sg1 shm snapshot snd sr0 stderr stdin stdout uinput urandom usb vga_arbiter vhost-net zero ls /dev/mapper: control =================== df -Th: Filesystem Type Size Used Avail Use% Mounted on /cow overlayfs 3.9G 100M 3.8G 3% / udev devtmpfs 3.9G 12K 3.9G 1% /dev tmpfs tmpfs 1.6G 864K 1.6G 1% /run /dev/sr0 iso9660 763M 763M 0 100% /cdrom /dev/loop0 squashfs 717M 717M 0 100% /rofs tmpfs tmpfs 3.9G 32K 3.9G 1% /tmp none tmpfs 5.0M 4.0K 5.0M 1% /run/lock none tmpfs 3.9G 176K 3.9G 1% /run/shm none tmpfs 100M 52K 100M 1% /run/user /dev/sda1 ext4 910G 26G 838G 3% /mnt/boot-sav/sda1 =================== fdisk -l: Disk /dev/sda: 1000.2 GB, 1000204886016 bytes 255 heads, 63 sectors/track, 121601 cylinders, total 1953525168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 4096 bytes I/O size (minimum/optimal): 4096 bytes / 4096 bytes Disk identifier: 0x000da1e9 Device Boot Start End Blocks Id System /dev/sda1 * 2048 1936809983 968403968 83 Linux /dev/sda2 1936812030 1953523711 8355841 5 Extended Partition 2 does not start on physical sector boundary. /dev/sda5 1936812032 1953523711 8355840 82 Linux swap / Solaris Partition outside the disk detected. =================== Recommended repair Recommended-Repair This setting will reinstall the grub2 of sda1 into the MBR of sda. Additional repair will be performed: unhide-bootmenu-10s Unhide GRUB boot menu in sda1/etc/default/grub grub-install (GRUB) 2.00-7ubuntu11,grub-install (GRUB) 2. Reinstall the GRUB of sda1 into the MBR of sda Installation finished. No error reported. grub-install /dev/sda: exit code of grub-install /dev/sda:0 chroot /mnt/boot-sav/sda1 update-grub Generating grub.cfg ... Found linux image: /boot/vmlinuz-3.5.0-19-generic Found initrd image: /boot/initrd.img-3.5.0-19-generic Found linux image: /boot/vmlinuz-3.5.0-17-generic Found initrd image: /boot/initrd.img-3.5.0-17-generic Found memtest86+ image: /boot/memtest86+.bin Unhide GRUB boot menu in sda1/boot/grub/grub.cfg Boot successfully repaired. You can now reboot your computer.

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• Unable to connect to Samba printer

  - by user127236

  I have a headless Ubuntu 12.04 server for files and printers. It shares files via Samba just fine. However, the HP PSC-750xi connected to the server via USB is not accessible from my Ubuntu 12.04 laptop. I can browse for it in the Printing control panel, but any attempt to authenticate my ID to the printer with my user credentials results in the error "This print share is not accessible". I have included the Samba smb.conf file below. Any help appreciated. Thanks... JGB # # Sample configuration file for the Samba suite for Debian GNU/Linux. # # # This is the main Samba configuration file. You should read the # smb.conf(5) manual page in order to understand the options listed # here. Samba has a huge number of configurable options most of which # are not shown in this example # # Some options that are often worth tuning have been included as # commented-out examples in this file. # - When such options are commented with ";", the proposed setting # differs from the default Samba behaviour # - When commented with "#", the proposed setting is the default # behaviour of Samba but the option is considered important # enough to be mentioned here # # NOTE: Whenever you modify this file you should run the command # "testparm" to check that you have not made any basic syntactic # errors. # A well-established practice is to name the original file # "smb.conf.master" and create the "real" config file with # testparm -s smb.conf.master >smb.conf # This minimizes the size of the really used smb.conf file # which, according to the Samba Team, impacts performance # However, use this with caution if your smb.conf file contains nested # "include" statements. See Debian bug #483187 for a case # where using a master file is not a good idea. # #======================= Global Settings ======================= [global] log file = /var/log/samba/log.%m passwd chat = *Enter\snew\s*\spassword:* %n\n *Retype\snew\s*\spassword:* %n\n *password\supdated\ssuccessfully* . obey pam restrictions = yes map to guest = bad user encrypt passwords = true passwd program = /usr/bin/passwd %u passdb backend = tdbsam dns proxy = no writeable = yes server string = %h server (Samba, Ubuntu) unix password sync = yes workgroup = WORKGROUP syslog = 0 panic action = /usr/share/samba/panic-action %d usershare allow guests = yes max log size = 1000 pam password change = yes ## Browsing/Identification ### # Change this to the workgroup/NT-domain name your Samba server will part of # server string is the equivalent of the NT Description field # Windows Internet Name Serving Support Section: # WINS Support - Tells the NMBD component of Samba to enable its WINS Server # wins support = no # WINS Server - Tells the NMBD components of Samba to be a WINS Client # Note: Samba can be either a WINS Server, or a WINS Client, but NOT both ; wins server = w.x.y.z # This will prevent nmbd to search for NetBIOS names through DNS. # What naming service and in what order should we use to resolve host names # to IP addresses ; name resolve order = lmhosts host wins bcast #### Networking #### # The specific set of interfaces / networks to bind to # This can be either the interface name or an IP address/netmask; # interface names are normally preferred ; interfaces = 127.0.0.0/8 eth0 # Only bind to the named interfaces and/or networks; you must use the # 'interfaces' option above to use this. # It is recommended that you enable this feature if your Samba machine is # not protected by a firewall or is a firewall itself. However, this # option cannot handle dynamic or non-broadcast interfaces correctly. ; bind interfaces only = yes #### Debugging/Accounting #### # This tells Samba to use a separate log file for each machine # that connects # Cap the size of the individual log files (in KiB). # If you want Samba to only log through syslog then set the following # parameter to 'yes'. # syslog only = no # We want Samba to log a minimum amount of information to syslog. Everything # should go to /var/log/samba/log.{smbd,nmbd} instead. If you want to log # through syslog you should set the following parameter to something higher. # Do something sensible when Samba crashes: mail the admin a backtrace ####### Authentication ####### # "security = user" is always a good idea. This will require a Unix account # in this server for every user accessing the server. See # /usr/share/doc/samba-doc/htmldocs/Samba3-HOWTO/ServerType.html # in the samba-doc package for details. # security = user # You may wish to use password encryption. See the section on # 'encrypt passwords' in the smb.conf(5) manpage before enabling. # If you are using encrypted passwords, Samba will need to know what # password database type you are using. # This boolean parameter controls whether Samba attempts to sync the Unix # password with the SMB password when the encrypted SMB password in the # passdb is changed. # For Unix password sync to work on a Debian GNU/Linux system, the following # parameters must be set (thanks to Ian Kahan <<[email protected]> for # sending the correct chat script for the passwd program in Debian Sarge). # This boolean controls whether PAM will be used for password changes # when requested by an SMB client instead of the program listed in # 'passwd program'. The default is 'no'. # This option controls how unsuccessful authentication attempts are mapped # to anonymous connections ########## Domains ########### # Is this machine able to authenticate users. Both PDC and BDC # must have this setting enabled. If you are the BDC you must # change the 'domain master' setting to no # ; domain logons = yes # # The following setting only takes effect if 'domain logons' is set # It specifies the location of the user's profile directory # from the client point of view) # The following required a [profiles] share to be setup on the # samba server (see below) ; logon path = \\%N\profiles\%U # Another common choice is storing the profile in the user's home directory # (this is Samba's default) # logon path = \\%N\%U\profile # The following setting only takes effect if 'domain logons' is set # It specifies the location of a user's home directory (from the client # point of view) ; logon drive = H: # logon home = \\%N\%U # The following setting only takes effect if 'domain logons' is set # It specifies the script to run during logon. The script must be stored # in the [netlogon] share # NOTE: Must be store in 'DOS' file format convention ; logon script = logon.cmd # This allows Unix users to be created on the domain controller via the SAMR # RPC pipe. The example command creates a user account with a disabled Unix # password; please adapt to your needs ; add user script = /usr/sbin/adduser --quiet --disabled-password --gecos "" %u # This allows machine accounts to be created on the domain controller via the # SAMR RPC pipe. # The following assumes a "machines" group exists on the system ; add machine script = /usr/sbin/useradd -g machines -c "%u machine account" -d /var/lib/samba -s /bin/false %u # This allows Unix groups to be created on the domain controller via the SAMR # RPC pipe. ; add group script = /usr/sbin/addgroup --force-badname %g ########## Printing ########## # If you want to automatically load your printer list rather # than setting them up individually then you'll need this # load printers = yes # lpr(ng) printing. You may wish to override the location of the # printcap file ; printing = bsd ; printcap name = /etc/printcap # CUPS printing. See also the cupsaddsmb(8) manpage in the # cupsys-client package. ; printing = cups ; printcap name = cups ############ Misc ############ # Using the following line enables you to customise your configuration # on a per machine basis. The %m gets replaced with the netbios name # of the machine that is connecting ; include = /home/samba/etc/smb.conf.%m # Most people will find that this option gives better performance. # See smb.conf(5) and /usr/share/doc/samba-doc/htmldocs/Samba3-HOWTO/speed.html # for details # You may want to add the following on a Linux system: # SO_RCVBUF=8192 SO_SNDBUF=8192 # socket options = TCP_NODELAY # The following parameter is useful only if you have the linpopup package # installed. The samba maintainer and the linpopup maintainer are # working to ease installation and configuration of linpopup and samba. ; message command = /bin/sh -c '/usr/bin/linpopup "%f" "%m" %s; rm %s' & # Domain Master specifies Samba to be the Domain Master Browser. If this # machine will be configured as a BDC (a secondary logon server), you # must set this to 'no'; otherwise, the default behavior is recommended. # domain master = auto # Some defaults for winbind (make sure you're not using the ranges # for something else.) ; idmap uid = 10000-20000 ; idmap gid = 10000-20000 ; template shell = /bin/bash # The following was the default behaviour in sarge, # but samba upstream reverted the default because it might induce # performance issues in large organizations. # See Debian bug #368251 for some of the consequences of *not* # having this setting and smb.conf(5) for details. ; winbind enum groups = yes ; winbind enum users = yes # Setup usershare options to enable non-root users to share folders # with the net usershare command. # Maximum number of usershare. 0 (default) means that usershare is disabled. ; usershare max shares = 100 # Allow users who've been granted usershare privileges to create # public shares, not just authenticated ones #======================= Share Definitions ======================= # Un-comment the following (and tweak the other settings below to suit) # to enable the default home directory shares. This will share each # user's home director as \\server\username ;[homes] ; comment = Home Directories ; browseable = no # By default, the home directories are exported read-only. Change the # next parameter to 'no' if you want to be able to write to them. ; read only = yes # File creation mask is set to 0700 for security reasons. If you want to # create files with group=rw permissions, set next parameter to 0775. ; create mask = 0700 # Directory creation mask is set to 0700 for security reasons. If you want to # create dirs. with group=rw permissions, set next parameter to 0775. ; directory mask = 0700 # By default, \\server\username shares can be connected to by anyone # with access to the samba server. Un-comment the following parameter # to make sure that only "username" can connect to \\server\username # The following parameter makes sure that only "username" can connect # # This might need tweaking when using external authentication schemes ; valid users = %S # Un-comment the following and create the netlogon directory for Domain Logons # (you need to configure Samba to act as a domain controller too.) ;[netlogon] ; comment = Network Logon Service ; path = /home/samba/netlogon ; guest ok = yes ; read only = yes # Un-comment the following and create the profiles directory to store # users profiles (see the "logon path" option above) # (you need to configure Samba to act as a domain controller too.) # The path below should be writable by all users so that their # profile directory may be created the first time they log on ;[profiles] ; comment = Users profiles ; path = /home/samba/profiles ; guest ok = no ; browseable = no ; create mask = 0600 ; directory mask = 0700 [printers] comment = All Printers browseable = no path = /var/spool/samba printable = yes guest ok = no read only = yes create mask = 0700 # Windows clients look for this share name as a source of downloadable # printer drivers [print$] comment = Printer Drivers browseable = yes writeable = no path = /var/lib/samba/printers # Uncomment to allow remote administration of Windows print drivers. # You may need to replace 'lpadmin' with the name of the group your # admin users are members of. # Please note that you also need to set appropriate Unix permissions # to the drivers directory for these users to have write rights in it ; write list = root, @lpadmin # A sample share for sharing your CD-ROM with others. ;[cdrom] ; comment = Samba server's CD-ROM ; read only = yes ; locking = no ; path = /cdrom ; guest ok = yes # The next two parameters show how to auto-mount a CD-ROM when the # cdrom share is accesed. For this to work /etc/fstab must contain # an entry like this: # # /dev/scd0 /cdrom iso9660 defaults,noauto,ro,user 0 0 # # The CD-ROM gets unmounted automatically after the connection to the # # If you don't want to use auto-mounting/unmounting make sure the CD # is mounted on /cdrom # ; preexec = /bin/mount /cdrom ; postexec = /bin/umount /cdrom [mediafiles] path = /media/multimedia/

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• SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

  - by pinaldave

  For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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• Thoughts on Thoughts on TDD

  Brian Harry wrote a post entitled Thoughts on TDD that I thought I was going to let lie, but I find that I need to write a response. I find myself in agreement with Brian on many points in the post, but I disagree with his conclusion. Not surprisingly, I agree with the things that he likes about TDD. Focusing on the usage rather than the implementation is really important, and this is important whether you use TDD or not. And YAGNI was a big theme in my Seven Deadly Sins of Programming series. Now, on to what he doesnt like. He says that he finds it inefficient to have tests that he has to change every time he refactors. Here is where we part company. If you are having to do a lot of test rewriting (say, more than a couple of minutes work to get back to green) *often* when you are refactoring your code, I submit that either you are testing things that you dont need to test (internal details rather than external implementation), your code perhaps isnt as decoupled as it could be, or maybe you need a visit to refactorers anonymous. I also like to refactor like crazy, but as we all know, the huge downside of refactoring is that we often break things. Important things. Subtle things. Which makes refactoring risky. *Unless* we have a set of tests that have great coverage. And TDD (or Example-based Design, which I prefer as a term) gives those to us. Now, I dont know what sort of coverage Brian gets with the unit tests that he writes, but I do know that for the majority of the developers Ive worked with and I count myself in that bucket the coverage of unit tests written afterwards is considerably inferior to the coverage of unit tests that come from TDD. For me, it all comes down to the answer to the following question: How do you ensure that your code works now and will continue to work in the future? Im willing to put up with a little efficiency on the front side to get that benefit later. Its not the writing of the code thats the expensive part, its everything else that comes after. I dont think that stepping through test cases in the debugger gets you what you want. You can verify what the current behavior is, sure, and do it fairly cheaply, but you dont help the guy in the future who doesnt know what conditions were important if he has to change your code. His second part that he doesnt like backing into an architecture (go read to see what he means). Ive certainly had to work with code that was like this before, and its a nightmare the code that nobody wants to touch. But thats not at all the kind of code that you get with TDD, because if youre doing it right youre doing the write a failing tests, make it pass, refactor approach. Now, you may miss some useful refactorings and generalizations for this, but if you do, you can refactor later because you have the tests that make it safe to do so, and your code tends to be easy to refactor because the same things that make code easy to write unit tests for make it easy to refactor. I also think Brian is missing an important point. We arent all as smart as he is. Im reminded a bit of the lesson of Intentional Programming, Charles Simonyis paradigm for making programming easier. I played around with Intentional Programming when it was young, and came to the conclusion that it was a pretty good thing if you were as smart as Simonyi is, but it was pretty much a disaster if you were an average developer. In this case, TDD gives you a way to work your way into a good, flexible, and functional architecture when you dont have somebody of Brians talents to help you out. And thats a good thing.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• PC to USB transfer slow

  - by Vipin Ms

  I'm having trouble with USB transfer,not with external hard disk. Transfer starts with like, for the transfer of 700MB file it starts with 30mb/s and towards the end it stops at 0s and stays put for like 3-4 mins to transfer the last bit. I have tried different USB devices, but no luck. Is it a bug? Another important point is, in Kubuntu there is no such issue. So is it something related to Gnome? I'm using Ubuntu 11.10 64bit. Somebody please help, it's really annoying. Here are the details. PC all of my drives are in ext4. USB I tried ext3,ntfs and fat32. All having the same problem. Here are my USB controllers details: root@LAB:~# lspci|grep USB 00:1a.0 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #4 (rev 03) 00:1a.1 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #5 (rev 03) 00:1a.2 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #6 (rev 03) 00:1a.7 USB Controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #2 (rev 03) 00:1d.0 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #1 (rev 03) 00:1d.1 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #2 (rev 03) 00:1d.2 USB Controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #3 (rev 03) 00:1d.7 USB Controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #1 (rev 03) Here is an example of one transfer. I connected one of my 4GB usb device. Nov 24 12:01:25 LAB kernel: [ 1175.082175] userif-2: sent link up event. Nov 24 12:01:25 LAB kernel: [ 1695.684158] usb 2-2: new high speed USB device number 3 using ehci_hcd Nov 24 12:01:25 LAB mtp-probe: checking bus 2, device 3: "/sys/devices/pci0000:00/0000:00:1d.7/usb2/2-2" Nov 24 12:01:26 LAB mtp-probe: bus: 2, device: 3 was not an MTP device Nov 24 12:01:26 LAB kernel: [ 1696.132680] usbcore: registered new interface driver uas Nov 24 12:01:26 LAB kernel: [ 1696.142528] Initializing USB Mass Storage driver... Nov 24 12:01:26 LAB kernel: [ 1696.142919] scsi4 : usb-storage 2-2:1.0 Nov 24 12:01:26 LAB kernel: [ 1696.143146] usbcore: registered new interface driver usb-storage Nov 24 12:01:26 LAB kernel: [ 1696.143150] USB Mass Storage support registered. Nov 24 12:01:27 LAB kernel: [ 1697.141657] scsi 4:0:0:0: Direct-Access SanDisk U3 Cruzer Micro 8.02 PQ: 0 ANSI: 0 CCS Nov 24 12:01:27 LAB kernel: [ 1697.168827] sd 4:0:0:0: Attached scsi generic sg2 type 0 Nov 24 12:01:27 LAB kernel: [ 1697.169262] sd 4:0:0:0: [sdb] 7856127 512-byte logical blocks: (4.02 GB/3.74 GiB) Nov 24 12:01:27 LAB kernel: [ 1697.169762] sd 4:0:0:0: [sdb] Write Protect is off Nov 24 12:01:27 LAB kernel: [ 1697.169767] sd 4:0:0:0: [sdb] Mode Sense: 45 00 00 08 Nov 24 12:01:27 LAB kernel: [ 1697.171386] sd 4:0:0:0: [sdb] No Caching mode page present Nov 24 12:01:27 LAB kernel: [ 1697.171391] sd 4:0:0:0: [sdb] Assuming drive cache: write through Nov 24 12:01:27 LAB kernel: [ 1697.173503] sd 4:0:0:0: [sdb] No Caching mode page present Nov 24 12:01:27 LAB kernel: [ 1697.173510] sd 4:0:0:0: [sdb] Assuming drive cache: write through Nov 24 12:01:27 LAB kernel: [ 1697.175337] sdb: sdb1 After that I initiated one transfer. lsof -p 3575|tail -2 mv 3575 root 3r REG 8,8 1719599104 4325379 /media/Misc/The Tree of Life (2011) DVDRip XviD-MAXSPEED/The Tree of Life (2011) DVDRip XviD-MAXSPEED www.torentz.3xforum.ro.avi mv 3575 root 4w REG 8,17 1046347776 15 /media/SREE/The Tree of Life (2011) DVDRip XviD-MAXSPEED/The Tree of Life (2011) DVDRip XviD-MAXSPEED www.torentz.3xforum.ro.avi Here are the total time spent on that transfer. root@LAB:/media/SREE# time mv /media/Misc/The\ Tree\ of\ Life\ \(2011\)\ DVDRip\ XviD-MAXSPEED/ /media/SREE/ real 11m49.334s user 0m0.008s sys 0m5.260s root@LAB:/media/SREE# df -T|tail -2 /dev/sdb1 vfat 3918344 1679308 2239036 43% /media/SREE /dev/sda8 ext4 110110576 60096904 50013672 55% /media/Misc Do you think this is normal?? Approximately 12 minutes for 1.6Gb transfer? Thanks.

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• The theory of evolution applied to software

  - by Michel Grootjans

  I recently realized the many parallels you can draw between the theory of evolution and evolving software. Evolution is not the proverbial million monkeys typing on a million typewriters, where one of them comes up with the complete works of Shakespeare. We would have noticed by now, since the proverbial monkeys are now blogging on the Internet ;-) One of the main ideas of the theory of evolution is the balance between random mutations and natural selection. Random mutations happen all the time: millions of mutations over millions of years. Most of them are totally useless. Some of them are beneficial to the evolved species. Natural selection favors the beneficially mutated species. Less beneficial mutations die off. The mutated rabbit doesn't have to be faster than the fox. It just has to be faster than the other rabbits.   Theory of evolution Evolving software Random mutations happen all the time. Most of these mutations are so bad, the new species dies off, or cannot reproduce. Developers write new code all the time. New ideas come up during the act of writing software. The really bad ones don't get past the stage of idea. The bad ones don't get committed to source control. Natural selection favors the beneficial mutated species Good ideas and new code gets discussed in group during informal peer review. Less than good code gets refactored. Enhanced code makes it more readable, maintainable... A good set of traits makes the species superior to others. It becomes widespread A good design tends to make it easier to add new features, easier to understand the current implementations, easier to optimize for performance...thus superior. The best designs get carried over from project to project. They appear in blogs, articles and books about principles, patterns and practices.   Of course the act of writing software is deliberate. This can hardly be called random mutations. Though it sometimes might seem that code evolves through a will of its own ;-) Does this mean that evolving software (evolution) is better than a big design up front (creationism)? Not necessarily. It's a false idea to think that a project starts from scratch and everything evolves from there. Everyone carries his experience of what works and what doesn't. Up front design is necessary, but is best kept simple and minimal, just enough to get you started. Let the good experiences and ideas help to drive the process, whether they come from you or from others, from past experience or from the most junior developer on your team. Once again, balance is the keyword. Balance design up front with evolution on a daily basis. How do you know what balance is right? Through your own experience of what worked and what didn't (here's evolution again). Notes: The evolution of software can quickly degenerate without discipline. TDD is a discipline that leaves little to chance on that part. Write your test to describe the new behavior. Write just enough code to make it behave as specified. Refactor to evolve the code to a higher standard. The responsibility of good design rests continuously on each developers' shoulders. Promiscuous pair programming helps quickly spreading the design to the whole team.

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• how to do loop for array which have different data for each array

  - by Suriani Salleh

  i have this file XML file.. I need to convert it form XMl to MYSQL. if it have only one array than i know how to do it.. now my question how to extract this two array Each array will have different value of data..for example for first array, pmIntervalTxEthMaxUtilization data : 0,74,0,0,48 and for second array pmIntervalRxPowerLevel data: -79,-68,-52 , pmIntervalTxPowerLevel data: 13,11,-55 . can some one help to guide how write php code to extract this xml file to MY SQL <mi> <mts>20130618020000</mts> <gp>900</gp> <mt>pmIntervalRxUndersizedFrames</mt> [ this is first array] <mt>pmIntervalRxUnicastFrames</mt> <mt>pmIntervalTxUnicastFrames</mt> <mt>pmIntervalRxEthMaxUtilization</mt> <mt>pmIntervalTxEthMaxUtilization</mt> <mv> <moid>port:1:3:23-24</moid> <sf>FALSE</sf> <r>0</r> [the data for 1st array i want to insert in DB] <r>0</r> <r>0</r> <r>5</r> <r>0</r> </mv> </mi> <mi> <mts>20130618020000</mts> <gp>900</gp> <mt>pmIntervalRxSES</mt> [this is second array] <mt>pmIntervalRxPowerLevel</mt> <mt>pmIntervalTxPowerLevel</mt> <mv> <moid>client:1:3:23-24</moid> <sf>FALSE</sf> <r>0</r> [the data for 2nd array i want to insert in DB] <r>-79</r> <r>13</r> </mv> </mi> this is the code for one array that i write..i dont know how to write code for two array because the field appear two times and have different data value for each array // Loop through the specified xpath foreach($xml->mi->mv as $subchild) { $port_no = $subchild->moid; $rx_ses = $subchild->r[0]; $rx_es = $subchild->r[1]; $tx_power = $subchild->r[10]; // dump into database; ........................... i have do a little research on it this is the out come... $i = 0; while( $i < 5) { // Loop through the specified xpath foreach($xml->md->mi->mv as $subchild) { $port_no = $subchild->moid; $rx_uni = $subchild->r[10]; $tx_uni = $subchild->r[11]; $rx_eth = $subchild->r[16]; $tx_eth = $subchild->r[17]; // dump into database; .............................. $i++; if( $i == 5 )break; } } // Loop through the specified xpath foreach($xml->mi->mv as $subchild) { $port_no = $subchild->moid; $rx_ses = $subchild->r[0]; $rx_es = $subchild->r[1]; $tx_power = $subchild->r[10]; // dump into database; .......................

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• The Power of Goals

  - by BuckWoody

  Every year we read blogs, articles, magazines, hear news stories and blurbs on making New Year’s Resolutions. Well, I for one don’t do that. I do something else. Each year, on January 1, my wife, daughter and I get up early - like before 6:00 A.M. - and find a breakfast place that’s open. When I used to live in Safety Harbor, Florida, that was the “Paradise Café”, which has some of the best waffles around…but I digress. We find that restaurant and have a great breakfast while everyone else is recuperating from the night before. And we bring along a worn leather book that we’ve been writing in since my daughter wasn’t even old enough to read. It’s our book of Goals. A resolution, as it is purely defined, is a decision to change, stop or start an action. It has a sense of continuance, and that’s the issue. Some people decide things like “I’m going to lose weight” or “I’m going to spend more time with my family or hobby”. But a goal is different. A goal tends to have a defined start and end point. It’s something that can be measured. So each year on January 1 we sit down with the little leather book and we make a few - and only a few - individual and family goals. Sometimes it’s to exercise three times a week at the gym, sometimes it’s to save a certain percentage of income, and sometimes it’s to give away some of our possessions or to help someone we know in a specific way. Each person is responsible for their own goals - coming up with them, and coming up with a plan to meet them. Then we write it down in the little leather book. But it doesn’t end there. Each month, we grab the little leather book and read out the goals from that year to each person with a question or two: How are you doing on your goal? And what are you doing about reaching it? Can I help? Am I helping? At the end of the year, we put a checkmark by the goals we reached, and an X by the ones we didn’t. There’s no judgment, there’s no statements, each person is just expected to handle the success or failure in their own way. We also have family goals, and those we work on together. This might seem a little “corny” to some people. “I don’t need to write goals down” they say, “I keep track in my head of the things I do all the time. That’s silly.” But let me give you a little challenge: find a book, get with your family, and write down the things you want to do by the next January 1. Each month, look at the book. You can make goals for your career, your education, your spiritual side, your family, whatever. But if you make your goals realistic, think them through, and think about how you will achieve them, you will be surprised by the power of written goals.

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• Games development with a game loop that's abstracted away

  - by Davy8

  Most game development happens with a main game loop. Are there any good articles/blog posts/discussions about games without a game loop? I imagine they'd mostly be web games, but I'd be interested in hearing otherwise. (As a side note, I think it's really interesting that the concept is almost exclusively used in gaming as far as I'm aware, perhaps that may be another question.) Edit: I realize there's probably a redraw loop somewhere. I guess what I really mean is a loop that is hidden to you. Frames are something you as the developer are not concerned with as you're working on a higher level of abstraction. E.g. someLootItem.moveTo(inventory, someAnimatationType) and that will move from the loot box to your inventory using the specified animation type without the game developer having to worry about the implementation details of that animation. Maybe that's how "real" games end up working, but from reading most tutorials they seem to imply a much more granular level of control is used, but that might just be an artifact of being a tutorial. Edit2: I think most people are misunderstanding what I'm trying to ask, likely because I'm having trouble describing exactly what I'm trying to ask. After some more thinking perhaps what I'm referring to is more along the lines of what I believe is referred to as "scripting" where you're working at a very high level and having some game engine take care of the low level details. For example, take custom maps in Starcraft II or Warcraft III. Many of the "maps" have gameplay that deviates enough from the primary game that they could be considered a separate game written on the same engine. What I'm referring to then is along those lines. I may be wrong because I only dabbed in the Warcraft III editor, but as far as I remember no where in the map editor do you control the game loop, and yet you can create many different games out of it. In my mind, these are games in their own right. If you're playing DotA you don't say you're playing Warcraft III, you say you're playing DotA because that's the actual game you're playing. Such a system may impose limitations that don't exist if you're creating a game from scratch, but it greatly reduces development time because much of the "hard" work has already been done for you. Hopefully that clarifies what I'm asking. Another example of what is I mean, is when you write a web app, of course it communicates through sockets and TCP. But does the average web developer doesn't explicitly write code for connecting sockets. They just need to know about receiving a request and sending a response. There are unique scenarios where you do occasionally need to use raw sockets, but it's generally rare in web development. In a similar fashion, it's very possible to write a game without directly using the game loop, even though one is used behind the scenes. Probably not a AAA title, but there must be hundreds of smaller scale games that can and possibly are written this way. Are there any good resources on writing these "simpler" games?

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• SQL Server IO handling mechanism can be severely affected by high CPU usage

  - by sqlworkshops

  Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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• Impressions of Pivotal Tracker

  Pivotal Tracker is a free, online agile project management system. Ive been using it recently to better communicate to customers about the current state of our project. In Pivotal Tracker, the unit of work is a story and stories are arranged into iterations or delivery cycles. Stories can be any level of granularity you want, but the idea is to use stories to communicate clearly to customers, so you dont want to write a novel. You especially dont want to write a list of detailed programming tasks. A good story for a point of sale system might be: Allow managers to override the price of an item while ringing up a customer. A less useful story: Script out the process of adding a manager flag to the user table and stage that script into the deploy directory. Stories are estimated using a point scale, by default 1, 2 or 3. Iterations are then automatically laid out by combining enough tasks to fill the point total for that period of time. You have to start with a guess on how many points your team can do in an iteration, then adjust with real data as you complete iterations. This is basic agile methodology, but where Pivotal Tracker adds value is that it automatically and graphically lays out iterations for you on your project site. This makes communication and planning easy. Compiling release notes is no longer painful as it has been clear from the outset what work is going on. While I much prefer Pivotal Trackers customer facing interface over what we used previously (TFS), I see a couple of gaps. First, I have not able to make much headway with the reporting tools. Despite my complaints about TFS, it can produce some nice reports. Second, its not clear where if at all, Id keep track of purely internal tasks. Im talking about server maintenance, cleaning up source control, checking back on some code which you never quite felt right about. Theres no purpose in cluttering up an iteration backlog with these items, but if you dont track them, you lose them. Im not sure what a good answer for that is. One gap I thought Id see, which I dont, is more granular dev tasks. If Im implementing a story, Ill write out the steps and track my progress, but really, those steps arent useful to anybody but me. The only time Ive found that level of detail really useful is when my tasks are defined at too high a level anyway or when Im working with someone who needs more coaching and might not be able to finish a story in time without some scaffolding to get them going. You can learn more about Pivotal Tracker at: http://www.pivotaltracker.com/learnmore.   --- Relevant Links --- A good intro to stories: http://www.agilemodeling.com/artifacts/userStory.htmDid you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• Using R to Analyze G1GC Log Files

  - by user12620111

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  Using R to Analyze G1GC Log Files   Using R to Analyze G1GC Log Files Introduction Working in Oracle Platform Integration gives an engineer opportunities to work on a wide array of technologies. My team’s goal is to make Oracle applications run best on the Solaris/SPARC platform. When looking for bottlenecks in a modern applications, one needs to be aware of not only how the CPUs and operating system are executing, but also network, storage, and in some cases, the Java Virtual Machine. I was recently presented with about 1.5 GB of Java Garbage First Garbage Collector log file data. If you’re not familiar with the subject, you might want to review Garbage First Garbage Collector Tuning by Monica Beckwith. The customer had been running Java HotSpot 1.6.0_31 to host a web application server. I was told that the Solaris/SPARC server was running a Java process launched using a commmand line that included the following flags: -d64 -Xms9g -Xmx9g -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=80 -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+PrintGC -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+PrintGCDateStamps -XX:+PrintFlagsFinal -XX:+DisableExplicitGC -XX:+UnlockExperimentalVMOptions -XX:ParallelGCThreads=8 Several sources on the internet indicate that if I were to print out the 1.5 GB of log files, it would require enough paper to fill the bed of a pick up truck. Of course, it would be fruitless to try to scan the log files by hand. Tools will be required to summarize the contents of the log files. Others have encountered large Java garbage collection log files. There are existing tools to analyze the log files: IBM’s GC toolkit The chewiebug GCViewer gchisto HPjmeter Instead of using one of the other tools listed, I decide to parse the log files with standard Unix tools, and analyze the data with R. Data Cleansing The log files arrived in two different formats. I guess that the difference is that one set of log files was generated using a more verbose option, maybe -XX:+PrintHeapAtGC, and the other set of log files was generated without that option. Format 1 In some of the log files, the log files with the less verbose format, a single trace, i.e. the report of a singe garbage collection event, looks like this: {Heap before GC invocations=12280 (full 61): garbage-first heap total 9437184K, used 7499918K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 1 young (4096K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. 2014-05-14T07:24:00.988-0700: 60586.353: [GC pause (young) 7324M->7320M(9216M), 0.1567265 secs] Heap after GC invocations=12281 (full 61): garbage-first heap total 9437184K, used 7496533K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 0 young (0K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. } A simple grep can be used to extract a summary: $ grep "\[ GC pause (young" g1gc.log 2014-05-13T13:24:35.091-0700: 3.109: [GC pause (young) 20M->5029K(9216M), 0.0146328 secs] 2014-05-13T13:24:35.440-0700: 3.459: [GC pause (young) 9125K->6077K(9216M), 0.0086723 secs] 2014-05-13T13:24:37.581-0700: 5.599: [GC pause (young) 25M->8470K(9216M), 0.0203820 secs] 2014-05-13T13:24:42.686-0700: 10.704: [GC pause (young) 44M->15M(9216M), 0.0288848 secs] 2014-05-13T13:24:48.941-0700: 16.958: [GC pause (young) 51M->20M(9216M), 0.0491244 secs] 2014-05-13T13:24:56.049-0700: 24.066: [GC pause (young) 92M->26M(9216M), 0.0525368 secs] 2014-05-13T13:25:34.368-0700: 62.383: [GC pause (young) 602M->68M(9216M), 0.1721173 secs] But that format wasn't easily read into R, so I needed to be a bit more tricky. I used the following Unix command to create a summary file that was easy for R to read. $ echo "SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime" $ grep "\[GC pause (young" g1gc.log | grep -v mark | sed -e 's/[A-SU-z\(\),]/ /g' -e 's/->/ /' -e 's/: / /g' | more SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime 2014-05-13T13:24:35.091-0700 3.109 20 5029 9216 0.0146328 2014-05-13T13:24:35.440-0700 3.459 9125 6077 9216 0.0086723 2014-05-13T13:24:37.581-0700 5.599 25 8470 9216 0.0203820 2014-05-13T13:24:42.686-0700 10.704 44 15 9216 0.0288848 2014-05-13T13:24:48.941-0700 16.958 51 20 9216 0.0491244 2014-05-13T13:24:56.049-0700 24.066 92 26 9216 0.0525368 2014-05-13T13:25:34.368-0700 62.383 602 68 9216 0.1721173 Format 2 In some of the log files, the log files with the more verbose format, a single trace, i.e. the report of a singe garbage collection event, was more complicated than Format 1. Here is a text file with an example of a single G1GC trace in the second format. As you can see, it is quite complicated. It is nice that there is so much information available, but the level of detail can be overwhelming. I wrote this awk script (download) to summarize each trace on a single line. #!/usr/bin/env awk -f BEGIN { printf("SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize\n") } ###################### # Save count data from lines that are at the start of each G1GC trace. # Each trace starts out like this: # {Heap before GC invocations=14 (full 0): # garbage-first heap total 9437184K, used 325496K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) ###################### /{Heap.*full/{ gsub ( "\\)" , "" ); nf=split($0,a,"="); split(a[2],b," "); getline; if ( match($0, "first") ) { G1GC=1; IncrementalCount=b[1]; FullCount=substr( b[3], 1, length(b[3])-1 ); } else { G1GC=0; } } ###################### # Pull out time stamps that are in lines with this format: # 2014-05-12T14:02:06.025-0700: 94.312: [GC pause (young), 0.08870154 secs] ###################### /GC pause/ { DateTime=$1; SecondsSinceLaunch=substr($2, 1, length($2)-1); } ###################### # Heap sizes are in lines that look like this: # [ 4842M->4838M(9216M)] ###################### /\[ .*]$/ { gsub ( "\\[" , "" ); gsub ( "\ \]" , "" ); gsub ( "->" , " " ); gsub ( "\\( " , " " ); gsub ( "\ \)" , " " ); split($0,a," "); if ( split(a[1],b,"M") > 1 ) {BeforeSize=b[1]*1024;} if ( split(a[1],b,"K") > 1 ) {BeforeSize=b[1];} if ( split(a[2],b,"M") > 1 ) {AfterSize=b[1]*1024;} if ( split(a[2],b,"K") > 1 ) {AfterSize=b[1];} if ( split(a[3],b,"M") > 1 ) {TotalSize=b[1]*1024;} if ( split(a[3],b,"K") > 1 ) {TotalSize=b[1];} } ###################### # Emit an output line when you find input that looks like this: # [Times: user=1.41 sys=0.08, real=0.24 secs] ###################### /\[Times/ { if (G1GC==1) { gsub ( "," , "" ); split($2,a,"="); UserTime=a[2]; split($3,a,"="); SysTime=a[2]; split($4,a,"="); RealTime=a[2]; print DateTime,SecondsSinceLaunch,IncrementalCount,FullCount,UserTime,SysTime,RealTime,BeforeSize,AfterSize,TotalSize; G1GC=0; } } The resulting summary is about 25X smaller that the original file, but still difficult for a human to digest. SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ... 2014-05-12T18:36:34.669-0700: 3985.744 561 0 0.57 0.06 0.16 1724416 1720320 9437184 2014-05-12T18:36:34.839-0700: 3985.914 562 0 0.51 0.06 0.19 1724416 1720320 9437184 2014-05-12T18:36:35.069-0700: 3986.144 563 0 0.60 0.04 0.27 1724416 1721344 9437184 2014-05-12T18:36:35.354-0700: 3986.429 564 0 0.33 0.04 0.09 1725440 1722368 9437184 2014-05-12T18:36:35.545-0700: 3986.620 565 0 0.58 0.04 0.17 1726464 1722368 9437184 2014-05-12T18:36:35.726-0700: 3986.801 566 0 0.43 0.05 0.12 1726464 1722368 9437184 2014-05-12T18:36:35.856-0700: 3986.930 567 0 0.30 0.04 0.07 1726464 1723392 9437184 2014-05-12T18:36:35.947-0700: 3987.023 568 0 0.61 0.04 0.26 1727488 1723392 9437184 2014-05-12T18:36:36.228-0700: 3987.302 569 0 0.46 0.04 0.16 1731584 1724416 9437184 Reading the Data into R Once the GC log data had been cleansed, either by processing the first format with the shell script, or by processing the second format with the awk script, it was easy to read the data into R. g1gc.df = read.csv("summary.txt", row.names = NULL, stringsAsFactors=FALSE,sep="") str(g1gc.df) ## 'data.frame': 8307 obs. of 10 variables: ## $ row.names : chr "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ... ## $ SecondsSinceLaunch: num 1.16 1.47 1.97 3.83 6.1 ... ## $ IncrementalCount : int 0 1 2 3 4 5 6 7 8 9 ... ## $ FullCount : int 0 0 0 0 0 0 0 0 0 0 ... ## $ UserTime : num 0.11 0.05 0.04 0.21 0.08 0.26 0.31 0.33 0.34 0.56 ... ## $ SysTime : num 0.04 0.01 0.01 0.05 0.01 0.06 0.07 0.06 0.07 0.09 ... ## $ RealTime : num 0.02 0.02 0.01 0.04 0.02 0.04 0.05 0.04 0.04 0.06 ... ## $ BeforeSize : int 8192 5496 5768 22528 24576 43008 34816 53248 55296 93184 ... ## $ AfterSize : int 1400 1672 2557 4907 7072 14336 16384 18432 19456 21504 ... ## $ TotalSize : int 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 ... head(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount ## 1 2014-05-12T14:00:32.868-0700: 1.161 0 ## 2 2014-05-12T14:00:33.179-0700: 1.472 1 ## 3 2014-05-12T14:00:33.677-0700: 1.969 2 ## 4 2014-05-12T14:00:35.538-0700: 3.830 3 ## 5 2014-05-12T14:00:37.811-0700: 6.103 4 ## 6 2014-05-12T14:00:41.428-0700: 9.720 5 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 1 0 0.11 0.04 0.02 8192 1400 9437184 ## 2 0 0.05 0.01 0.02 5496 1672 9437184 ## 3 0 0.04 0.01 0.01 5768 2557 9437184 ## 4 0 0.21 0.05 0.04 22528 4907 9437184 ## 5 0 0.08 0.01 0.02 24576 7072 9437184 ## 6 0 0.26 0.06 0.04 43008 14336 9437184 Basic Statistics Once the data has been read into R, simple statistics are very easy to generate. All of the numbers from high school statistics are available via simple commands. For example, generate a summary of every column: summary(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount FullCount ## Length:8307 Min. : 1 Min. : 0 Min. : 0.0 ## Class :character 1st Qu.: 9977 1st Qu.:2048 1st Qu.: 0.0 ## Mode :character Median :12855 Median :4136 Median : 12.0 ## Mean :12527 Mean :4156 Mean : 31.6 ## 3rd Qu.:15758 3rd Qu.:6262 3rd Qu.: 61.0 ## Max. :55484 Max. :8391 Max. :113.0 ## UserTime SysTime RealTime BeforeSize ## Min. :0.040 Min. :0.0000 Min. : 0.0 Min. : 5476 ## 1st Qu.:0.470 1st Qu.:0.0300 1st Qu.: 0.1 1st Qu.:5137920 ## Median :0.620 Median :0.0300 Median : 0.1 Median :6574080 ## Mean :0.751 Mean :0.0355 Mean : 0.3 Mean :5841855 ## 3rd Qu.:0.920 3rd Qu.:0.0400 3rd Qu.: 0.2 3rd Qu.:7084032 ## Max. :3.370 Max. :1.5600 Max. :488.1 Max. :8696832 ## AfterSize TotalSize ## Min. : 1380 Min. :9437184 ## 1st Qu.:5002752 1st Qu.:9437184 ## Median :6559744 Median :9437184 ## Mean :5785454 Mean :9437184 ## 3rd Qu.:7054336 3rd Qu.:9437184 ## Max. :8482816 Max. :9437184 Q: What is the total amount of User CPU time spent in garbage collection? sum(g1gc.df$UserTime) ## [1] 6236 As you can see, less than two hours of CPU time was spent in garbage collection. Is that too much? To find the percentage of time spent in garbage collection, divide the number above by total_elapsed_time*CPU_count. In this case, there are a lot of CPU’s and it turns out the the overall amount of CPU time spent in garbage collection isn’t a problem when viewed in isolation. When calculating rates, i.e. events per unit time, you need to ask yourself if the rate is homogenous across the time period in the log file. Does the log file include spikes of high activity that should be separately analyzed? Averaging in data from nights and weekends with data from business hours may alias problems. If you have a reason to suspect that the garbage collection rates include peaks and valleys that need independent analysis, see the “Time Series” section, below. Q: How much garbage is collected on each pass? The amount of heap space that is recovered per GC pass is surprisingly low: At least one collection didn’t recover any data. (“Min.=0”) 25% of the passes recovered 3MB or less. (“1st Qu.=3072”) Half of the GC passes recovered 4MB or less. (“Median=4096”) The average amount recovered was 56MB. (“Mean=56390”) 75% of the passes recovered 36MB or less. (“3rd Qu.=36860”) At least one pass recovered 2GB. (“Max.=2121000”) g1gc.df$Delta = g1gc.df$BeforeSize - g1gc.df$AfterSize summary(g1gc.df$Delta) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0 3070 4100 56400 36900 2120000 Q: What is the maximum User CPU time for a single collection? The worst garbage collection (“Max.”) is many standard deviations away from the mean. The data appears to be right skewed. summary(g1gc.df$UserTime) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.040 0.470 0.620 0.751 0.920 3.370 sd(g1gc.df$UserTime) ## [1] 0.3966 Basic Graphics Once the data is in R, it is trivial to plot the data with formats including dot plots, line charts, bar charts (simple, stacked, grouped), pie charts, boxplots, scatter plots histograms, and kernel density plots. Histogram of User CPU Time per Collection I don't think that this graph requires any explanation. hist(g1gc.df$UserTime, main="User CPU Time per Collection", xlab="Seconds", ylab="Frequency") Box plot to identify outliers When the initial data is viewed with a box plot, you can see the one crazy outlier in the real time per GC. Save this data point for future analysis and drop the outlier so that it’s not throwing off our statistics. Now the box plot shows many outliers, which will be examined later, using times series analysis. Notice that the scale of the x-axis changes drastically once the crazy outlier is removed. par(mfrow=c(2,1)) boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(dominated by a crazy outlier)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") crazy.outlier.df=g1gc.df[g1gc.df$RealTime > 400,] g1gc.df=g1gc.df[g1gc.df$RealTime < 400,] boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(crazy outlier excluded)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") box(which = "outer", lty = "solid") Here is the crazy outlier for future analysis: crazy.outlier.df ## row.names SecondsSinceLaunch IncrementalCount ## 8233 2014-05-12T23:15:43.903-0700: 20741 8316 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 8233 112 0.55 0.42 488.1 8381440 8235008 9437184 ## Delta ## 8233 146432 R Time Series Data To analyze the garbage collection as a time series, I’ll use Z’s Ordered Observations (zoo). “zoo is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.” require(zoo) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric head(g1gc.df[,1]) ## [1] "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" ## [3] "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ## [5] "2014-05-12T14:00:37.811-0700:" "2014-05-12T14:00:41.428-0700:" options("digits.secs"=3) times=as.POSIXct( g1gc.df[,1], format="%Y-%m-%dT%H:%M:%OS%z:") g1gc.z = zoo(g1gc.df[,-c(1)], order.by=times) head(g1gc.z) ## SecondsSinceLaunch IncrementalCount FullCount ## 2014-05-12 17:00:32.868 1.161 0 0 ## 2014-05-12 17:00:33.178 1.472 1 0 ## 2014-05-12 17:00:33.677 1.969 2 0 ## 2014-05-12 17:00:35.538 3.830 3 0 ## 2014-05-12 17:00:37.811 6.103 4 0 ## 2014-05-12 17:00:41.427 9.720 5 0 ## UserTime SysTime RealTime BeforeSize AfterSize ## 2014-05-12 17:00:32.868 0.11 0.04 0.02 8192 1400 ## 2014-05-12 17:00:33.178 0.05 0.01 0.02 5496 1672 ## 2014-05-12 17:00:33.677 0.04 0.01 0.01 5768 2557 ## 2014-05-12 17:00:35.538 0.21 0.05 0.04 22528 4907 ## 2014-05-12 17:00:37.811 0.08 0.01 0.02 24576 7072 ## 2014-05-12 17:00:41.427 0.26 0.06 0.04 43008 14336 ## TotalSize Delta ## 2014-05-12 17:00:32.868 9437184 6792 ## 2014-05-12 17:00:33.178 9437184 3824 ## 2014-05-12 17:00:33.677 9437184 3211 ## 2014-05-12 17:00:35.538 9437184 17621 ## 2014-05-12 17:00:37.811 9437184 17504 ## 2014-05-12 17:00:41.427 9437184 28672 Example of Two Benchmark Runs in One Log File The data in the following graph is from a different log file, not the one of primary interest to this article. I’m including this image because it is an example of idle periods followed by busy periods. It would be uninteresting to average the rate of garbage collection over the entire log file period. More interesting would be the rate of garbage collect in the two busy periods. Are they the same or different? Your production data may be similar, for example, bursts when employees return from lunch and idle times on weekend evenings, etc. Once the data is in an R Time Series, you can analyze isolated time windows. Clipping the Time Series data Flashing back to our test case… Viewing the data as a time series is interesting. You can see that the work intensive time period is between 9:00 PM and 3:00 AM. Lets clip the data to the interesting period:     par(mfrow=c(2,1)) plot(g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Complete Log File", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") clipped.g1gc.z=window(g1gc.z, start=as.POSIXct("2014-05-12 21:00:00"), end=as.POSIXct("2014-05-13 03:00:00")) plot(clipped.g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Limited to Benchmark Execution", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") box(which = "outer", lty = "solid") Cumulative Incremental and Full GC count Here is the cumulative incremental and full GC count. When the line is very steep, it indicates that the GCs are repeating very quickly. Notice that the scale on the Y axis is different for full vs. incremental. plot(clipped.g1gc.z[,c(2:3)], main="Cumulative Incremental and Full GC count", xlab="Time of Day", col="#1b9e77") GC Analysis of Benchmark Execution using Time Series data In the following series of 3 graphs: The “After Size” show the amount of heap space in use after each garbage collection. Many Java objects are still referenced, i.e. alive, during each garbage collection. This may indicate that the application has a memory leak, or may indicate that the application has a very large memory footprint. Typically, an application's memory footprint plateau's in the early stage of execution. One would expect this graph to have a flat top. The steep decline in the heap space may indicate that the application crashed after 2:00. The second graph shows that the outliers in real execution time, discussed above, occur near 2:00. when the Java heap seems to be quite full. The third graph shows that Full GCs are infrequent during the first few hours of execution. The rate of Full GC's, (the slope of the cummulative Full GC line), changes near midnight.   plot(clipped.g1gc.z[,c("AfterSize","RealTime","FullCount")], xlab="Time of Day", col=c("#1b9e77","red","#1b9e77")) GC Analysis of heap recovered Each GC trace includes the amount of heap space in use before and after the individual GC event. During garbage coolection, unreferenced objects are identified, the space holding the unreferenced objects is freed, and thus, the difference in before and after usage indicates how much space has been freed. The following box plot and bar chart both demonstrate the same point - the amount of heap space freed per garbage colloection is surprisingly low. par(mfrow=c(2,1)) boxplot(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", horizontal = TRUE, col="red") hist(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", breaks=100, col="red") box(which = "outer", lty = "solid") This graph is the most interesting. The dark blue area shows how much heap is occupied by referenced Java objects. This represents memory that holds live data. The red fringe at the top shows how much data was recovered after each garbage collection. barplot(clipped.g1gc.z[,c("AfterSize","Delta")], col=c("#7570b3","#e7298a"), xlab="Time of Day", border=NA) legend("topleft", c("Live Objects","Heap Recovered on GC"), fill=c("#7570b3","#e7298a")) box(which = "outer", lty = "solid") When I discuss the data in the log files with the customer, I will ask for an explaination for the large amount of referenced data resident in the Java heap. There are two are posibilities: There is a memory leak and the amount of space required to hold referenced objects will continue to grow, limited only by the maximum heap size. After the maximum heap size is reached, the JVM will throw an “Out of Memory” exception every time that the application tries to allocate a new object. If this is the case, the aplication needs to be debugged to identify why old objects are referenced when they are no longer needed. The application has a legitimate requirement to keep a large amount of data in memory. The customer may want to further increase the maximum heap size. Another possible solution would be to partition the application across multiple cluster nodes, where each node has responsibility for managing a unique subset of the data. Conclusion In conclusion, R is a very powerful tool for the analysis of Java garbage collection log files. The primary difficulty is data cleansing so that information can be read into an R data frame. Once the data has been read into R, a rich set of tools may be used for thorough evaluation.

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• C#, Delegates and LINQ

  - by JustinGreenwood

  One of the topics many junior programmers struggle with is delegates. And today, anonymous delegates and lambda expressions are profuse in .net APIs.  To help some VB programmers adapt to C# and the many equivalent flavors of delegates, I walked through some simple samples to show them the different flavors of delegates. using System; using System.Collections.Generic; using System.Linq; namespace DelegateExample { class Program { public delegate string ProcessStringDelegate(string data); public static string ReverseStringStaticMethod(string data) { return new String(data.Reverse().ToArray()); } static void Main(string[] args) { var stringDelegates = new List<ProcessStringDelegate> { //========================================================== // Declare a new delegate instance and pass the name of the method in new ProcessStringDelegate(ReverseStringStaticMethod), //========================================================== // A shortcut is to just and pass the name of the method in ReverseStringStaticMethod, //========================================================== // You can create an anonymous delegate also delegate (string inputString) //Scramble { var outString = inputString; if (!string.IsNullOrWhiteSpace(inputString)) { var rand = new Random(); var chs = inputString.ToCharArray(); for (int i = 0; i < inputString.Length * 3; i++) { int x = rand.Next(chs.Length), y = rand.Next(chs.Length); char c = chs[x]; chs[x] = chs[y]; chs[y] = c; } outString = new string(chs); } return outString; }, //========================================================== // yet another syntax would be the lambda expression syntax inputString => { // ROT13 var array = inputString.ToCharArray(); for (int i = 0; i < array.Length; i++) { int n = (int)array[i]; n += (n >= 'a' && n <= 'z') ? ((n > 'm') ? 13 : -13) : ((n >= 'A' && n <= 'Z') ? ((n > 'M') ? 13 : -13) : 0); array[i] = (char)n; } return new string(array); } //========================================================== }; // Display the results of the delegate calls var stringToTransform = "Welcome to the jungle!"; System.Console.ForegroundColor = ConsoleColor.Cyan; System.Console.Write("String to Process: "); System.Console.ForegroundColor = ConsoleColor.Yellow; System.Console.WriteLine(stringToTransform); stringDelegates.ForEach(delegatePointer => { System.Console.WriteLine(); System.Console.ForegroundColor = ConsoleColor.Cyan; System.Console.Write("Delegate Method Name: "); System.Console.ForegroundColor = ConsoleColor.Magenta; System.Console.WriteLine(delegatePointer.Method.Name); System.Console.ForegroundColor = ConsoleColor.Cyan; System.Console.Write("Delegate Result: "); System.Console.ForegroundColor = ConsoleColor.White; System.Console.WriteLine(delegatePointer(stringToTransform)); }); System.Console.ReadKey(); } } } The output of the program is below: String to Process: Welcome to the jungle! Delegate Method Name: ReverseStringStaticMethod Delegate Result: !elgnuj eht ot emocleW Delegate Method Name: ReverseStringStaticMethod Delegate Result: !elgnuj eht ot emocleW Delegate Method Name: b__1 Delegate Result: cg ljotWotem!le une eh Delegate Method Name: b__2 Delegate Result: dX_V|`X ?| ?[X ]?{Z_X!

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• sending sms to mobile from pc using java [closed]

  - by sjohnfernandas

  hi i need to send sms from pc to mobile phone can u people guide me to achieve? i used the following code to send sms to a mobile from pc but i did not get any output and also not getting any error so guide me and point out the mistakes what i have done. package mobilesms; import java.io.; import java.util.; import javax.comm.*; import java.io.IOException; import java.util.Properties; import java.io.InputStream; import java.io.OutputStream; import java.io.DataInputStream; import java.io.FileInputStream; import java.io.DataOutputStream; import java.io.FileOutputStream; public class ReadSimple implements Runnable, SerialPortEventListener { static CommPortIdentifier portId; static Enumeration portList; OutputStream outputstream; InputStream inputStream; SerialPort serialPort; Thread readThread; public static void main(String[] args) { portList = CommPortIdentifier.getPortIdentifiers(); while (portList.hasMoreElements()) { portId = (CommPortIdentifier) portList.nextElement(); if (portId.getPortType() == CommPortIdentifier.PORT_SERIAL) { if (portId.getName().equals("COM1")) { System.out.println("Found port:COM1 "); ReadSimple reader = new ReadSimple(); } } } } public ReadSimple() { try { serialPort = (SerialPort) portId.open("ReadSimpleApp",500); } catch (PortInUseException e) { System.out.println(e); } try { inputStream = serialPort.getInputStream(); OutputStream out=serialPort.getOutputStream(); String line=""; line="AT"+"r\n"; out.write(line.trim().getBytes()); line=""; line="AT+CMGS=7639808583"+"\r\n"; out.write(line.trim().getBytes()); System.out.print(line); line="helloworld"; //line=”ATD 996544325;”+”\r\n”; out.write(line.trim().getBytes()); } catch (IOException e) { serialPort.close(); System.out.println(e); } // catch(InterruptedException E){E.printStackTrace();} try { serialPort.addEventListener(this); } catch (TooManyListenersException e) {System.out.println(e);} serialPort.notifyondataavailable(true); try { serialPort.setSerialPortParams(9600, SerialPort.DATABITS_8, SerialPort.STOPBITS_1, SerialPort.PARITY_NONE); } catch (UnsupportedCommOperationException e) {System.out.println(e);} readThread = new Thread(this); readThread.start(); } public void run() { try { Thread.sleep(200); } catch (InterruptedException e) {System.out.println(e);} } public void serialEvent(SerialPortEvent event) { switch(event.getEventType()) { case SerialPortEvent.BI: case SerialPortEvent.OE: case SerialPortEvent.FE: case SerialPortEvent.PE: case SerialPortEvent.CD: case SerialPortEvent.CTS: case SerialPortEvent.DSR: case SerialPortEvent.RI: case SerialPortEvent.OUTPUT_BUFFER_EMPTY: break; case SerialPortEvent.DATA_AVAILABLE: byte[] readBuffer = new byte[10]; try { while (inputStream.available() 0) { int numBytes = inputStream.read(readBuffer); } System.out.println(new String(readBuffer)); } catch (IOException e) {System.out.println(e);} break; } } }

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• Questions to ask to ensure someone understands programming? (and iOS)

  - by Stephen J

  So, I've been tutoring my friend for 2 years. Most people learn programming on their own in 3-6 months, (sans algorithms). It's confusing 'cause he'll run anywhere I tell him to, understands how to read C and C++ honestly better than the average college student, and he'll modify and repeat anything I do... but for the love of god he doesn't move on to new things and he still has test anxiety. I've recently realized he's copied and toyed with existing, but not once gained an understanding of why. I was under the impression he was learning fast because he could write it, but when you say "Make a function that takes an NSString" and he says "How?" and I say "The same way you make ANY function that takes any parameter, NSString is just a type like int" and all I hear is "No, it's an NSString, it's a special thing." and we get into an arguing match 'cause I'm like "It's just a class like any other class, you've used them for months now" and blah... I've subconsciously avoided comprehension questions because of this. Anyway, if you have him copy a program and say "Just initialize it" "Where?" "I don't care, didLoad or initWithCoder or Awake from nib, anywhere it gets initialized" and "No, it has to be exactly where you had it!" "No it doesn't!" I'm sick of this, but he won't give up. So I'm done avoiding these yelling matches and becoming a sadist from now on. I would like some help in finding questions to ask him that force him to understand what he's doing. I'd like some help and any resources I can find. CQuestions looked like a good site, but now I need some iPhone stuff. For example: *What do properties do? How are they changed? How do you change the name of the getter? *Why are Booleans inefficent? What advantage does int have over a boolean and how does the bit-shift operator help? *What does Copy do to a string? *What's the difference between a view controller and a uiview? *Write a program from memory that displays blah on screen, and flashes each view one by one. From beginner up to intermediate, hobbyist with some algebra at most. I'm just looking for resources to work with. I left in backstory so you know to "twist" the questions so he doesn't know he's supposed to init a variable here or there, but has to figure it out, and learn why it goes "here" or that "anywhere is fine as long as it's". Sample programs, anything. I'm relatively open about this because, being a programmer, I seriously doubt he's the only one who has this issue. I'd like to know how others have overcome similar. What made things "click"? for you? Did you have a hard time finding answers on Google, and how did you learn a better way to find what you were looking for? (He's so exact, he'll search for how to write a checkers program with color X and Y inside a uiview, as his search string, instead of breaking it up into components, I need help with that too, and believe it is related). This type of problem has to remind one of us of someone they know. So, Exercises to force them to think? Ways we overcame this thing in the past? I greatly appreciate any help.

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• The long road to bug-free software

  - by Tony Davis

  The past decade has seen a burgeoning interest in functional programming languages such as Haskell or, in the Microsoft world, F#. Though still on the periphery of mainstream programming, functional programming concepts are gradually seeping into the imperative C# language (for example, Lambda expressions have their root in functional programming). One of the more interesting concepts from functional programming languages is the use of formal methods, the lofty ideal behind which is bug-free software. The idea is that we write a specification that describes exactly how our function (say) should behave. We then prove that our function conforms to it, and in doing so have proved beyond any doubt that it is free from bugs. All programmers already use one form of specification, specifically their programming language's type system. If a value has a specific type then, in a type-safe language, the compiler guarantees that value cannot be an instance of a different type. Many extensions to existing type systems, such as generics in Java and .NET, extend the range of programs that can be type-checked. Unfortunately, type systems can only prevent some bugs. To take a classic problem of retrieving an index value from an array, since the type system doesn't specify the length of the array, the compiler has no way of knowing that a request for the "value of index 4" from an array of only two elements is "unsafe". We restore safety via exception handling, but the ideal type system will prevent us from doing anything that is unsafe in the first place and this is where we start to borrow ideas from a language such as Haskell, with its concept of "dependent types". If the type of an array includes its length, we can ensure that any index accesses into the array are valid. The problem is that we now need to carry around the length of arrays and the values of indices throughout our code so that it can be type-checked. In general, writing the specification to prove a positive property, even for a problem very amenable to specification, such as a simple sorting algorithm, turns out to be very hard and the specification will be different for every program. Extend this to writing a specification for, say, Microsoft Word and we can see that the specification would end up being no simpler, and therefore no less buggy, than the implementation. Fortunately, it is easier to write a specification that proves that a program doesn't have certain, specific and undesirable properties, such as infinite loops or accesses to the wrong bit of memory. If we can write the specifications to prove that a program is immune to such problems, we could reuse them in many places. The problem is the lack of specification "provers" that can do this without a lot of manual intervention (i.e. hints from the programmer). All this might feel a very long way off, but computing power and our understanding of the theory of "provers" advances quickly, and Microsoft is doing some of it already. Via their Terminator research project they have started to prove that their device drivers will always terminate, and in so doing have suddenly eliminated a vast range of possible bugs. This is a huge step forward from saying, "we've tested it lots and it seems fine". What do you think? What might be good targets for specification and verification? SQL could be one: the cost of a bug in SQL Server is quite high given how many important systems rely on it, so there's a good incentive to eliminate bugs, even at high initial cost. [Many thanks to Mike Williamson for guidance and useful conversations during the writing of this piece] Cheers, Tony.

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• Why I lose certain values from array?

  - by blankon91

  I've the code to input the values dynamically, when I use it to add the values for the first time, it's fine, but when I want to edit it, the old values didn't inserted on sql query but the new values inserted Here is the example: http://i.stack.imgur.com/dwugS.jpg here is the code: ============the function================= sub ShowItemfgEdit(query,selItemName,defValue,num,cdisable) response.write "<select " & cdisable & " num=""" & num & """ id=""itemCombo"" name=""" & selItemName & """ class=""label"" onchange=""varUsage.ChangeSatuanDt(this)"">" if NOT query.BOF then query.moveFirst WHILE NOT query.EOF tulis = "" if trim(defValue) = trim(query("ckdbarang")) then tulis = "selected" end if response.write "<option value=""" & trim(query("ckdbarang")) & """" & tulis & ">" & trim(query("ckdbarang")) & " - " & trim(query("vnamabarang")) query.moveNext WEND end if response.write "</select>" end sub ============calling the function================ <td class="rb" align="left"><% call ShowItemfgEdit(qGetItemfgGrp,"fitem",qGetUsageDt("ckdfg"),countLine,readonlyfg) %></td> ==============post the value====================== <input type="hidden" name="fitem" value=""> ================get the value=================== for i = 1 to request.form("hdnOrderNum") if request.form("selOrdItem_" & i) <> "" then 'bla...blaa...blaa... ckdfg = trim(request.form("fitem_" & i)) '<==here is the problem objCommand.commandText = "INSERT INTO IcTrPakaiDt " &_ "(id, id_h, ckdunitkey, cnopakai, dtglpakai, ckdbarang, ckdgudang, nqty1, nqty2, csatuan1, csatuan2, nqtypakai, csatuanpakai, vketerangan, cJnsPakai, ckdprodkey, ckdfg, ncountstart, ncountstop, ncounttotal) " &_ " VALUES " &_ " (" & idDt & ",'" & idHd & "','" & selLoc & "','" & nopakai & "','" & cDate(request.form("hdnUsageDate")) & "','" & trim(ckdbarang) & "','" & trim(ckdgudang) & "'," & nqty1 & "," & nqty2 & ",'" & trim(csatuan1) & "','" & trim(csatuan2) & "'," & nqtypakai & ",'" & csatuanpakai & "','" & trim(keteranganItem) & "','" & trim(cjnspakai) & "','" & ckdprodkey & "','" &ckdfg& "'," & cnt1 & "," & cnt2 & "," & totalcnt & ")" set qInsertPakaiDt = objCommand.Execute end if next problem: old value of ckdfg didn't inserted to query, but the new value inserted. How to fix this bug?

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• The long road to bug-free software

  - by Tony Davis

  The past decade has seen a burgeoning interest in functional programming languages such as Haskell or, in the Microsoft world, F#. Though still on the periphery of mainstream programming, functional programming concepts are gradually seeping into the imperative C# language (for example, Lambda expressions have their root in functional programming). One of the more interesting concepts from functional programming languages is the use of formal methods, the lofty ideal behind which is bug-free software. The idea is that we write a specification that describes exactly how our function (say) should behave. We then prove that our function conforms to it, and in doing so have proved beyond any doubt that it is free from bugs. All programmers already use one form of specification, specifically their programming language's type system. If a value has a specific type then, in a type-safe language, the compiler guarantees that value cannot be an instance of a different type. Many extensions to existing type systems, such as generics in Java and .NET, extend the range of programs that can be type-checked. Unfortunately, type systems can only prevent some bugs. To take a classic problem of retrieving an index value from an array, since the type system doesn't specify the length of the array, the compiler has no way of knowing that a request for the "value of index 4" from an array of only two elements is "unsafe". We restore safety via exception handling, but the ideal type system will prevent us from doing anything that is unsafe in the first place and this is where we start to borrow ideas from a language such as Haskell, with its concept of "dependent types". If the type of an array includes its length, we can ensure that any index accesses into the array are valid. The problem is that we now need to carry around the length of arrays and the values of indices throughout our code so that it can be type-checked. In general, writing the specification to prove a positive property, even for a problem very amenable to specification, such as a simple sorting algorithm, turns out to be very hard and the specification will be different for every program. Extend this to writing a specification for, say, Microsoft Word and we can see that the specification would end up being no simpler, and therefore no less buggy, than the implementation. Fortunately, it is easier to write a specification that proves that a program doesn't have certain, specific and undesirable properties, such as infinite loops or accesses to the wrong bit of memory. If we can write the specifications to prove that a program is immune to such problems, we could reuse them in many places. The problem is the lack of specification "provers" that can do this without a lot of manual intervention (i.e. hints from the programmer). All this might feel a very long way off, but computing power and our understanding of the theory of "provers" advances quickly, and Microsoft is doing some of it already. Via their Terminator research project they have started to prove that their device drivers will always terminate, and in so doing have suddenly eliminated a vast range of possible bugs. This is a huge step forward from saying, "we've tested it lots and it seems fine". What do you think? What might be good targets for specification and verification? SQL could be one: the cost of a bug in SQL Server is quite high given how many important systems rely on it, so there's a good incentive to eliminate bugs, even at high initial cost. [Many thanks to Mike Williamson for guidance and useful conversations during the writing of this piece] Cheers, Tony.

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• Stack Overflow Problem in DotNetNuke

  - by Vivek

  Hi, I'm getting this error message when I try to access my website. Can someone please tell me what is going on? Thanks. V Server Error in '/' Application. Attempted to read or write protected memory. This is often an indication that other memory is corrupt. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.AccessViolationException: Attempted to read or write protected memory. This is often an indication that other memory is corrupt. Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [AccessViolationException: Attempted to read or write protected memory. This is often an indication that other memory is corrupt.] AspDotNetStorefrontExcelWrapper.ExcelToXml.SetLicense() +0 AspDotNetStorefrontCommon.AppLogic.ApplicationStart() +150 AspDotNetStorefrontDNNComponents.AppStart..cctor() +103 [TypeInitializationException: The type initializer for 'AspDotNetStorefrontDNNComponents.AppStart' threw an exception.] AspDotNetStorefrontDNNComponents.AppStart.Execute() +0 AspDotNetStorefront.HttpModules.InitializerModule.System.Web.IHttpModule.Init(HttpApplication context) +42 System.Web.HttpApplication.InitModulesCommon() +65 System.Web.HttpApplication.InitModules() +43 System.Web.HttpApplication.InitInternal(HttpContext context, HttpApplicationState state, MethodInfo[] handlers) +729 System.Web.HttpApplicationFactory.GetNormalApplicationInstance(HttpContext context) +298 System.Web.HttpApplicationFactory.GetApplicationInstance(HttpContext context) +107 System.Web.HttpRuntime.ProcessRequestInternal(HttpWorkerRequest wr) +289 Version Information: Microsoft .NET Framework Version:2.0.50727.3082; ASP.NET Version:2.0.50727.3082

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• Automate Reading Lotto Numbers

  - by neiling

  When we buy a large qty of Lotto tickets, is there a way to read all those numbers into a spreadsheet so that they can be checked against the winning numbers thru formulas/macros? I am looking for an OCR application that can read the scanned PDF/JPG file and dump them into a file. (This might apply not only to Lotto, but also to other scanned documents.) As for checking for winning numbers, I know how to do it once I have them in a CSV/XLS file.

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• Setting Up Win2008 R2 Server - IIS_IUSRS Permissions

  - by leen3o

  I am setting up a web server and notice out the box it gives IIS_IUSRS read & execute (and as a result list folder contents) permissions on the wwwroot. I'm trying to make sure its secure as possible, and just wondering if its ok to leave that? On my last server (Win2003) I only gave 'read' permissions to users on the wwwroot and then manually added the write / execute permissions on folders as needed. Just wondering if everyone else leaves the permissions as they are?

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