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• DMV {dm_os_ring_buffers} - Queries to help pinpoint current Issues / usual usage patterns

  - by NeilHambly

  I'm been running some queries (below) to help me identify when I have had time-sensitive performance issues around Memory/CPU, I didn't want to load up additional overhead to the system (unless absolutely neccessary) using traces or profiler  - naturally we have various methods to do this Perfmon counters, DBCC, DMVs etc.. One quick way I like is to run a few DMV queries (normally back in seconds) to help me find those RECENT specific time periods when the system has been substantially changed in some way using, this is using the DMV dm_os_ring_buffers This one helps me identify when I'm expericing Timeout Errors (1222).. modiy code to look for other error as highlight belowDECLARE @ts_now BIGINT,@dt_max BIGINT, @dt_min BIGINT  SELECT @ts_now = cpu_ticks / CONVERT(FLOAT, cpu_ticks_in_ms) FROM sys.dm_os_sys_info SELECT @dt_max = MAX(timestamp), @dt_min = MIN(timestamp)    FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION'  SELECT       record_id      ,DATEADD(ms, -1 * (@ts_now - [timestamp]), GETDATE()) AS EventTime      ,y.Error      ,UserDefined      ,b.description as NormalizedText FROM       (       SELECT       record.value('(./Record/@id)[1]', 'int')                    AS record_id,       record.value('(./Record/Exception/Error)[1]', 'int')        AS Error,       record.value('(./Record/Exception/UserDefined)[1]', 'int')  AS UserDefined,      TIMESTAMP       FROM             (             SELECT TIMESTAMP, CONVERT(XML, record) AS record             FROM sys.dm_os_ring_buffers             WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION'             AND record LIKE '% %'            ) AS x      ) AS y INNER JOIN sys.sysmessages b on y.Error = b.error WHERE b.msglangid = 1033 and  y.Error = 1222 ORDER BY record_id DESC Sample Output record_id EventTime Error UserDefined NormalizedText 15199195 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199194 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199193 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199192 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199191 18/03/2010 14:00 1222 0 Lock request time out period exceeded.  This one helps me identify when I have Unusally High Processing (> 50%) or # Page-FaultsSELECT record.value('(./Record/@id)[1]', 'int') AS record_id,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int')              AS SystemIdle,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int')      AS SQLProcessUtilization,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/UserModeTime)[1]', 'bigint')         AS UserModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/KernelModeTime)[1]', 'bigint')       AS KernelModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/PageFaults)[1]', 'bigint')           AS PageFaults,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/WorkingSetDelta)[1]', 'bigint')      AS WorkingSetDelta,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/MemoryUtilization)[1]', 'int')       AS MemoryUtilization,TIMESTAMPFROM (        SELECT TIMESTAMP, CONVERT(XML, record) AS record         FROM sys.dm_os_ring_buffers         WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR'        AND record LIKE '% %'         ) AS x Example: Showing entries > 50% SQL CPU record_id SystemIdle SQLProcessUtilization UserModeTime KernelModeTime PageFaults WorkingSetDelta MemoryUtilization TIMESTAMP 111916 66 29 36718750 1374843750 21333 -40960 100 7991061289 111917 54 41 50156250 1954062500 26914 -28672 100 7991121290 111918 57 39 42968750 1838437500 30096 20480 100 7991181290 111919 41 53 43906250 2530156250 22088 -4096 100 7991241307 111920 48 45 40937500 2124062500 26395 8192 100 7991301310 111921 52 43 35625000 2052812500 21996 155648 100 7991361311 111922 40 55 36875000 2637343750 33355 -262144 100 7991421311 111923 36 58 44843750 2786562500 47019 28672 100 7991481311 111924 31 64 53437500 3046562500 31027 61440 100 7991541314 111925 36 57 43906250 2711250000 37074 -8192 100 7991601317 111926 52 43 43437500 2060156250 29176 20480 100 7991661318 111927 71 24 33750000 1141250000 14478 16384 100 7991721320 111928 71 23 34531250 1116250000 12711 -20480 100 7991781320 111929 53 36 46562500 1714062500 26684 200704 100 7991841323 Finally one to provide some understanding of the level of memory state changes that are ocuringSELECT record.value('(./Record/@id)[1]', 'int')                                                       AS 'record_id',record.value('(./Record/ResourceMonitor/Notification)[1]', 'VARCHAR(100)')                     AS 'ReservedMemory',record.value('(./Record/ResourceMonitor/Indicators)[1]', 'int')                                AS 'Indicators',record.value('(./Record/ResourceMonitor/Effect/@state)[1]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[1]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[1]', 'VARCHAR(100)')                           AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[2]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[2]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[2]', 'VARCHAR(100)')                           AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[3]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[3]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[3]', 'VARCHAR(100)')                           AS 'REVERT_HIGHPM',record.value('(./Record/MemoryNode/ReservedMemory)[1]', 'int')                                 AS 'ReservedMemory',record.value('(./Record/MemoryNode/CommittedMemory)[1]', 'int')                                AS 'CommittedMemory',record.value('(./Record/MemoryNode/SharedMemory)[1]', 'int')                                   AS 'SharedMemory',record.value('(./Record/MemoryNode/AWEMemory)[1]', 'int')                                      AS 'AWEMemory',record.value('(./Record/MemoryNode/SinglePagesMemory)[1]', 'int')                              AS 'SinglePagesMemory',record.value('(./Record/MemoryNode/CachedMemory)[1]', 'int')                                   AS 'CachedMemory',record.value('(./Record/MemoryRecord/MemoryUtilization)[1]', 'int')                            AS 'MemoryUtilization',record.value('(./Record/MemoryRecord/TotalPhysicalMemory)[1]', 'int')                          AS 'TotalPhysicalMemory',record.value('(./Record/MemoryRecord/AvailablePhysicalMemory)[1]', 'int')                      AS 'AvailablePhysicalMemory',record.value('(./Record/MemoryRecord/TotalPageFile)[1]', 'int')                                AS 'TotalPageFile',record.value('(./Record/MemoryRecord/AvailablePageFile)[1]', 'int')                            AS 'AvailablePageFile',record.value('(./Record/MemoryRecord/TotalVirtualAddressSpace)[1]', 'bigint')                  AS 'TotalVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableVirtualAddressSpace)[1]', 'bigint')              AS 'AvailableVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableExtendedVirtualAddressSpace)[1]', 'bigint')      AS 'AvailableExtendedVirtualAddressSpace', TIMESTAMPFROM (        SELECT TIMESTAMP, CONVERT(XML, record) AS record         FROM sys.dm_os_ring_buffers         WHERE ring_buffer_type = N'RING_BUFFER_RESOURCE_MONITOR'        AND record LIKE '% %'        ) AS x  

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• How do I print all the queries in Magento?

  - by terrani

  Hi, is it possible to display all the query strings in Magento? I really like to see what queries are executed. Thanks

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• How can I combine my FTP queries? [migrated]

  - by ryansworld10

  My program has several times where it queries an FTP server to read and upload information. How can I combine all these into one FTP class to handle everything? private static void UploadToFTP(string[] FTPSettings) { try { FtpWebRequest request = (FtpWebRequest)WebRequest.Create(FTPSettings[0]); request.Method = WebRequestMethods.Ftp.MakeDirectory; request.Credentials = new NetworkCredential(FTPSettings[1], FTPSettings[2]); FtpWebResponse response = (FtpWebResponse)request.GetResponse(); } catch { } try { FtpWebRequest request = (FtpWebRequest)WebRequest.Create(FTPSettings[0] + Path.GetFileName(file)); request.Method = WebRequestMethods.Ftp.UploadFile; request.Credentials = new NetworkCredential(FTPSettings[1], FTPSettings[2]); StreamReader source = new StreamReader(file); byte[] fileContents = Encoding.UTF8.GetBytes(source.ReadToEnd()); source.Close(); request.ContentLength = fileContents.Length; Stream requestStream = request.GetRequestStream(); requestStream.Write(fileContents, 0, fileContents.Length); requestStream.Close(); FtpWebResponse response = (FtpWebResponse)request.GetResponse(); response.Close(); RegenLog(); } catch (Exception e) { File.AppendAllText(file, string.Format("{0}{0}Upload Failed - ({2}) - {1}{0}", nl, System.DateTime.Now, e.Message.ToString())); } } private static void CheckBlacklist(string[] FTPSettings) { try { FtpWebRequest request = (FtpWebRequest)WebRequest.Create(FTPSettings[0] + "blacklist.txt"); request.Credentials = new NetworkCredential(FTPSettings[1], FTPSettings[2]); using (WebResponse response = request.GetResponse()) { using (Stream stream = response.GetResponseStream()) { using (TextReader reader = new StreamReader(stream)) { string blacklist = reader.ReadToEnd(); if (blacklist.Contains(Environment.UserName)) { File.AppendAllText(file, string.Format("{0}{0}Logger terminated - ({2}) - {1}{0}", nl, System.DateTime.Now, "Blacklisted")); uninstall = true; } } } } } catch (Exception e) { File.AppendAllText(file, string.Format("{0}{0}FTP Error - ({2}) - {1}{0}", nl, System.DateTime.Now, e.Message.ToString())); } } private static void CheckUpdate(string[] FTPSettings) { try { FtpWebRequest request = (FtpWebRequest)WebRequest.Create(FTPSettings[0] + "update.txt"); request.Credentials = new NetworkCredential(FTPSettings[1], FTPSettings[2]); using (WebResponse response = request.GetResponse()) { using (Stream stream = response.GetResponseStream()) { using (TextReader reader = new StreamReader(stream)) { string newVersion = reader.ReadToEnd(); if (newVersion != version) { update = true; } } } } } catch (Exception e) { File.AppendAllText(file, string.Format("{0}{0}FTP Error - ({2}) - {1}{0}", nl, System.DateTime.Now, e.Message.ToString())); } } I know my code is also a bit inconsistent and messy, however this is my first time working with FTP in C#. Please give any advice you have!

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• SQL SERVER – Introduction to Extended Events – Finding Long Running Queries

  - by pinaldave

  The job of an SQL Consultant is very interesting as always. The month before, I was busy doing query optimization and performance tuning projects for our clients, and this month, I am busy delivering my performance in Microsoft SQL Server 2005/2008 Query Optimization and & Performance Tuning Course. I recently read white paper about Extended Event by SQL Server MVP Jonathan Kehayias. You can read the white paper here: Using SQL Server 2008 Extended Events. I also read another appealing chapter by Jonathan in the book, SQLAuthority Book Review – Professional SQL Server 2008 Internals and Troubleshooting. After reading these excellent notes by Jonathan, I decided to upgrade my course and include Extended Event as one of the modules. This week, I have delivered Extended Events session two times and attendees really liked the said course. They really think Extended Events is one of the most powerful tools available. Extended Events can do many things. I suggest that you read the white paper I mentioned to learn more about this tool. Instead of writing a long theory, I am going to write a very quick script for Extended Events. This event session captures all the longest running queries ever since the event session was started. One of the many advantages of the Extended Events is that it can be configured very easily and it is a robust method to collect necessary information in terms of troubleshooting. There are many targets where you can store the information, which include XML file target, which I really like. In the following Events, we are writing the details of the event at two locations: 1) Ringer Buffer; and 2) XML file. It is not necessary to write at both places, either of the two will do. -- Extended Event for finding *long running query* IF EXISTS(SELECT * FROM sys.server_event_sessions WHERE name='LongRunningQuery') DROP EVENT SESSION LongRunningQuery ON SERVER GO -- Create Event CREATE EVENT SESSION LongRunningQuery ON SERVER -- Add event to capture event ADD EVENT sqlserver.sql_statement_completed ( -- Add action - event property ACTION (sqlserver.sql_text, sqlserver.tsql_stack) -- Predicate - time 1000 milisecond WHERE sqlserver.sql_statement_completed.duration > 1000 ) -- Add target for capturing the data - XML File ADD TARGET package0.asynchronous_file_target( SET filename='c:\LongRunningQuery.xet', metadatafile='c:\LongRunningQuery.xem'), -- Add target for capturing the data - Ring Bugger ADD TARGET package0.ring_buffer (SET max_memory = 4096) WITH (max_dispatch_latency = 1 seconds) GO -- Enable Event ALTER EVENT SESSION LongRunningQuery ON SERVER STATE=START GO -- Run long query (longer than 1000 ms) SELECT * FROM AdventureWorks.Sales.SalesOrderDetail ORDER BY UnitPriceDiscount DESC GO -- Stop the event ALTER EVENT SESSION LongRunningQuery ON SERVER STATE=STOP GO -- Read the data from Ring Buffer SELECT CAST(dt.target_data AS XML) AS xmlLockData FROM sys.dm_xe_session_targets dt JOIN sys.dm_xe_sessions ds ON ds.Address = dt.event_session_address JOIN sys.server_event_sessions ss ON ds.Name = ss.Name WHERE dt.target_name = 'ring_buffer' AND ds.Name = 'LongRunningQuery' GO -- Read the data from XML File SELECT event_data_XML.value('(event/data[1])[1]','VARCHAR(100)') AS Database_ID, event_data_XML.value('(event/data[2])[1]','INT') AS OBJECT_ID, event_data_XML.value('(event/data[3])[1]','INT') AS object_type, event_data_XML.value('(event/data[4])[1]','INT') AS cpu, event_data_XML.value('(event/data[5])[1]','INT') AS duration, event_data_XML.value('(event/data[6])[1]','INT') AS reads, event_data_XML.value('(event/data[7])[1]','INT') AS writes, event_data_XML.value('(event/action[1])[1]','VARCHAR(512)') AS sql_text, event_data_XML.value('(event/action[2])[1]','VARCHAR(512)') AS tsql_stack, CAST(event_data_XML.value('(event/action[2])[1]','VARCHAR(512)') AS XML).value('(frame/@handle)[1]','VARCHAR(50)') AS handle FROM ( SELECT CAST(event_data AS XML) event_data_XML, * FROM sys.fn_xe_file_target_read_file ('c:\LongRunningQuery*.xet', 'c:\LongRunningQuery*.xem', NULL, NULL)) T GO -- Clean up. Drop the event DROP EVENT SESSION LongRunningQuery ON SERVER GO Just run the above query, afterwards you will find following result set. This result set contains the query that was running over 1000 ms. In our example, I used the XML file, and it does not reset when SQL services or computers restarts (if you are using DMV, it will reset when SQL services restarts). This event session can be very helpful for troubleshooting. Let me know if you want me to write more about Extended Events. I am totally fascinated with this feature, so I’m planning to acquire more knowledge about it so I can determine its other usages. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Training, SQLServer, T SQL, Technology Tagged: SQL Extended Events

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• SQL SERVER – Spatial Database Queries – What About BLOB – T-SQL Tuesday #006

  - by pinaldave

  Michael Coles is one of the most interesting book authors I have ever met. He has a flair of writing complex stuff in a simple language. There are a very few people like that.  I really enjoyed reading his recent book, Expert SQL Server 2008 Encryption. I strongly suggest taking a look at it. This blog is written in response to T-SQL Tuesday #006: “What About BLOB? by Michael Coles. Spatial Database is my favorite subject. Since I did my TechEd India 2010 presentation, I have enjoyed this subject a lot. Before I continue this blog post, there are a few other blog posts, so I suggest you read them.  To help build the environment run the queries, I am going to present them in this single blog post. SQL SERVER – What is Spatial Database? – Developing with SQL Server Spatial and Deep Dive into Spatial Indexing This blog post explains the basics of Spatial Database and also provides a good introduction to Indexing concept. SQL SERVER – World Shapefile Download and Upload to Database – Spatial Database This blog post will enable you with how to load the shape file into database. SQL SERVER – Spatial Database Definition and Research Documents This blog post links to the white paper about Spatial Database written by Microsoft experts. SQL SERVER – Introduction to Spatial Coordinate Systems: Flat Maps for a Round Planet This blog post links to the white paper explaining coordinate system, as written by Microsoft experts. After reading the above listed blog posts, I am very confident that you are ready to run the following script. Once you create a database using the World Shapefile, as mentioned in the second link above,you can display the image of India just like the following. Please note that this is not an accurate political map. The boundary of this map has many errors and it is just a representation. You can run the following query to generate the map of India from the database spatial which you have created after following the instructions here. USE Spatial GO -- India Map SELECT [CountryName] ,[BorderAsGeometry] ,[Border] FROM [Spatial].[dbo].[Countries] WHERE Countryname = 'India' GO Now, let us find the longitude and latitude of the two major IT cities of India, Hyderabad and Bangalore. I find their values as the following: the values of longitude-latitude for Bangalore is 77.5833300000 13.0000000000; for Hyderabad, longitude-latitude is 78.4675900000 17.4531200000. Now, let us try to put these values on the India Map and see their location. -- Bangalore DECLARE @GeoLocation GEOGRAPHY SET @GeoLocation = GEOGRAPHY::STPointFromText('POINT(77.5833300000 13.0000000000)',4326).STBuffer(20000); -- Hyderabad DECLARE @GeoLocation1 GEOGRAPHY SET @GeoLocation1 = GEOGRAPHY::STPointFromText('POINT(78.4675900000 17.4531200000)',4326).STBuffer(20000); -- Bangalore and Hyderabad on Map of India SELECT name, [GeoLocation] FROM [IndiaGeoNames] I WHERE I.[GeoLocation].STDistance(@GeoLocation) <= 0 UNION ALL SELECT name, [GeoLocation] FROM [IndiaGeoNames] I WHERE I.[GeoLocation].STDistance(@GeoLocation1) <= 0 UNION ALL SELECT '',[Border] FROM [Spatial].[dbo].[Countries] WHERE Countryname = 'India' GO Now let us quickly draw a straight line between them. DECLARE @GeoLocation GEOGRAPHY SET @GeoLocation = GEOGRAPHY::STPointFromText('POINT(78.4675900000 17.4531200000)',4326).STBuffer(10000); DECLARE @GeoLocation1 GEOGRAPHY SET @GeoLocation1 = GEOGRAPHY::STPointFromText('POINT(77.5833300000 13.0000000000)',4326).STBuffer(10000); DECLARE @GeoLocation2 GEOGRAPHY SET @GeoLocation2 = GEOGRAPHY::STGeomFromText('LINESTRING(78.4675900000 17.4531200000, 77.5833300000 13.0000000000)',4326) SELECT name, [GeoLocation] FROM [IndiaGeoNames] I WHERE I.[GeoLocation].STDistance(@GeoLocation) <= 0 UNION ALL SELECT name, [GeoLocation] FROM [IndiaGeoNames] I1 WHERE I1.[GeoLocation].STDistance(@GeoLocation1) <= 0 UNION ALL SELECT '' name, @GeoLocation2 UNION ALL SELECT '',[Border] FROM [Spatial].[dbo].[Countries] WHERE Countryname = 'India' GO Let us use the distance function of the spatial database and find the straight line distance between this two cities. -- Distance Between Hyderabad and Bangalore DECLARE @GeoLocation GEOGRAPHY SET @GeoLocation = GEOGRAPHY::STPointFromText('POINT(78.4675900000 17.4531200000)',4326) DECLARE @GeoLocation1 GEOGRAPHY SET @GeoLocation1 = GEOGRAPHY::STPointFromText('POINT(77.5833300000 13.0000000000)',4326) SELECT @GeoLocation.STDistance(@GeoLocation1)/1000 'KM'; GO The result of above query is as displayed in following image. As per SQL Server, the distance between these two cities is 501 KM, but according to what I know, the distance between those two cities is around 562 KM by road. However, please note that roads are not straight and they have lots of turns, whereas this is a straight-line distance. What would be more accurate is the distance between these two cities by air travel. When we look at the air travel distance between Bangalore and Hyderabad, the total distance covered is 495 KM, which is very close to what SQL Server has estimated, which is 501 KM. Bravo! SQL Server has accurately provided the distance between two of the cities. SQL Server Spatial Database can be very useful simply because it is very easy to use, as demonstrated above. I appreciate your comments, so let me know what your thoughts and opinions about this are. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Spatial Database

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• How should I join these 3 SQL queries in Oracle?

  - by Nazgulled

  I have these 3 queries: SELECT title, year, MovieGenres(m.mid) genres, MovieDirectors(m.mid) directors, MovieWriters(m.mid) writers, synopsis, poster_url FROM movies m WHERE m.mid = 1; SELECT AVG(rating) FROM movie_ratings WHERE mid = 1; SELECT COUNT(rating) FROM movie_ratings WHERE mid = 1; And I need to join them into a single query. I was able to do it like this: SELECT title, year, MovieGenres(m.mid) genres, MovieDirectors(m.mid) directors, MovieWriters(m.mid) writers, synopsis, poster_url, AVG(rating) average, COUNT(rating) count FROM movies m INNER JOIN movie_ratings mr ON m.mid = mr.mid WHERE m.mid = 1 GROUP BY title, year, MovieGenres(m.mid), MovieDirectors(m.mid), MovieWriters(m.mid), synopsis, poster_url; But I don't really like that "huge" GROUP BY, is there a simpler way to do it?

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• Integrating Oracle Hyperion Smart View Data Queries with MS Word and Power Point

  - by Andreea Vaduva

  Untitled Document table { border: thin solid; } Most Smart View users probably appreciate that they can use just one add-in to access data from the different sources they might work with, like Oracle Essbase, Oracle Hyperion Planning, Oracle Hyperion Financial Management and others. But not all of them are aware of the options to integrate data analyses not only in Excel, but also in MS Word or Power Point. While in the past, copying and pasting single numbers or tables from a recent analysis in Excel made the pasted content a static snapshot, copying so called Data Points now creates dynamic, updateable references to the data source. It also provides additional nice features, which can make life easier and less stressful for Smart View users. So, how does this option work: after building an ad-hoc analysis with Smart View as usual in an Excel worksheet, any area including data cells/numbers from the database can be highlighted in order to copy data points - even single data cells only.   TIP It is not necessary to highlight and copy the row or column descriptions   Next from the Smart View ribbon select Copy Data Point. Then transfer to the Word or Power Point document into which the selected content should be copied. Note that in these Office programs you will find a menu item Smart View;from it select the Paste Data Point icon. The copied details from the Excel report will be pasted, but showing #NEED_REFRESH in the data cells instead of the original numbers. =After clicking the Refresh icon on the Smart View menu the data will be retrieved and displayed. (Maybe at that moment a login window pops up and you need to provide your credentials.) It works in the same way if you just copy one single number without any row or column descriptions, for example in order to incorporate it into a continuous text: Before refresh: After refresh: From now on for any subsequent updates of the data shown in your documents you only need to refresh data by clicking the Refresh button on the Smart View menu, without copying and pasting the context or content again. As you might realize, trying out this feature on your own, there won’t be any Point of View shown in the Office document. Also you have seen in the example, where only a single data cell was copied, that there aren’t any member names or row/column descriptions copied, which are usually required in an ad-hoc report in order to exactly define where data comes from or how data is queried from the source. Well, these definitions are not visible, but they are transferred to the Word or Power Point document as well. They are stored in the background for each individual data cell copied and can be made visible by double-clicking the data cell as shown in the following screen shot (but which is taken from another context).   So for each cell/number the complete connection information is stored along with the exact member/cell intersection from the database. And that’s not all: you have the chance now to exchange the members originally selected in the Point of View (POV) in the Excel report. Remember, at that time we had the following selection:   By selecting the Manage POV option from the Smart View meny in Word or Power Point…   … the following POV Manager – Queries window opens:   You can now change your selection for each dimension from the original POV by either double-clicking the dimension member in the lower right box under POV: or by selecting the Member Selector icon on the top right hand side of the window. After confirming your changes you need to refresh your document again. Be aware, that this will update all (!) numbers taken from one and the same original Excel sheet, even if they appear in different locations in your Office document, reflecting your recent changes in the POV. TIP Build your original report already in a way that dimensions you might want to change from within Word or Power Point are placed in the POV. And there is another really nice feature I wouldn’t like to miss mentioning: Using Dynamic Data Points in the way described above, you will never miss or need to search again for your original Excel sheet from which values were taken and copied as data points into an Office document. Because from even only one single data cell Smart View is able to recreate the entire original report content with just a few clicks: Select one of the numbers from within your Word or Power Point document by double-clicking.   Then select the Visualize in Excel option from the Smart View menu. Excel will open and Smart View will rebuild the entire original report, including POV settings, and retrieve all data from the most recent actual state of the database. (It might be necessary to provide your credentials before data is displayed.) However, in order to make this work, an active online connection to your databases on the server is necessary and at least read access to the retrieved data. But apart from this, your newly built Excel report is fully functional for ad-hoc analysis and can be used in the common way for drilling, pivoting and all the other known functions and features. So far about embedding Dynamic Data Points into Office documents and linking them back into Excel worksheets. You can apply this in the described way with ad-hoc analyses directly on Essbase databases or using Hyperion Planning and Hyperion Financial Management ad-hoc web forms. If you are also interested in other new features and smart enhancements in Essbase or Hyperion Planning stay tuned for coming articles or check our training courses and web presentations. You can find general information about offerings for the Essbase and Planning curriculum or other Oracle-Hyperion products here (please make sure to select your country/region at the top of this page) or in the OU Learning paths section , where Planning, Essbase and other Hyperion products can be found under the Fusion Middleware heading (again, please select the right country/region). Or drop me a note directly: [email protected] . About the Author: Bernhard Kinkel started working for Hyperion Solutions as a Presales Consultant and Consultant in 1998 and moved to Hyperion Education Services in 1999. He joined Oracle University in 2007 where he is a Principal Education Consultant. Based on these many years of working with Hyperion products he has detailed product knowledge across several versions. He delivers both classroom and live virtual courses. His areas of expertise are Oracle/Hyperion Essbase, Oracle Hyperion Planning and Hyperion Web Analysis.  

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• Innodb Queries Slow

  - by user105196

  I have redHat 5.3 (Tikanga) with Mysql 5.0.86 configued with RIAD 10 HW, I run an application inquiries from Mysql/InnoDB and MyIsam tables, the queries are super fast,but some quires on Innodb tables sometime slow down and took more than 1-3 seconds to run and these queries are simple and optimized, this problem occurred just on innodb tables in different time with random queries. Why is this happening only to Innodb tables? the below is the Innodb status and some Mysql variables: show innodb status\G ************* 1. row ************* Status: 120325 10:54:08 INNODB MONITOR OUTPUT Per second averages calculated from the last 19 seconds SEMAPHORES OS WAIT ARRAY INFO: reservation count 22943, signal count 22947 Mutex spin waits 0, rounds 561745, OS waits 7664 RW-shared spins 24427, OS waits 12201; RW-excl spins 1461, OS waits 1277 TRANSACTIONS Trx id counter 0 119069326 Purge done for trx's n:o < 0 119069326 undo n:o < 0 0 History list length 41 Total number of lock structs in row lock hash table 0 LIST OF TRANSACTIONS FOR EACH SESSION: ---TRANSACTION 0 0, not started, process no 29093, OS thread id 1166043456 MySQL thread id 703985, query id 5807220 localhost root show innodb status FILE I/O I/O thread 0 state: waiting for i/o request (insert buffer thread) I/O thread 1 state: waiting for i/o request (log thread) I/O thread 2 state: waiting for i/o request (read thread) I/O thread 3 state: waiting for i/o request (write thread) Pending normal aio reads: 0, aio writes: 0, ibuf aio reads: 0, log i/o's: 0, sync i/o's: 0 Pending flushes (fsync) log: 0; buffer pool: 0 132777 OS file reads, 689086 OS file writes, 252010 OS fsyncs 0.00 reads/s, 0 avg bytes/read, 0.00 writes/s, 0.00 fsyncs/s INSERT BUFFER AND ADAPTIVE HASH INDEX Ibuf: size 1, free list len 366, seg size 368, 62237 inserts, 62237 merged recs, 52881 merges Hash table size 8850487, used cells 3698960, node heap has 7061 buffer(s) 0.00 hash searches/s, 0.00 non-hash searches/s LOG Log sequence number 15 3415398745 Log flushed up to 15 3415398745 Last checkpoint at 15 3415398745 0 pending log writes, 0 pending chkp writes 218214 log i/o's done, 0.00 log i/o's/second BUFFER POOL AND MEMORY Total memory allocated 4798817080; in additional pool allocated 12342784 Buffer pool size 262144 Free buffers 101603 Database pages 153480 Modified db pages 0 Pending reads 0 Pending writes: LRU 0, flush list 0, single page 0 Pages read 151954, created 1526, written 494505 0.00 reads/s, 0.00 creates/s, 0.00 writes/s No buffer pool page gets since the last printout ROW OPERATIONS 0 queries inside InnoDB, 0 queries in queue 1 read views open inside InnoDB Main thread process no. 29093, id 1162049856, state: waiting for server activity Number of rows inserted 77675, updated 85439, deleted 0, read 14377072495 0.00 inserts/s, 0.00 updates/s, 0.00 deletes/s, 0.00 reads/s END OF INNODB MONITOR OUTPUT 1 row in set, 1 warning (0.02 sec) read_buffer_size = 128M sort_buffer_size = 256M tmp_table_size = 1024M innodb_additional_mem_pool_size = 20M innodb_log_file_size=10M innodb_lock_wait_timeout=100 innodb_buffer_pool_size=4G join_buffer_size = 128M key_buffer_size = 1G can any one help me ?

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• Two radically different queries against 4 mil records execute in the same time - one uses brute force.

  - by IanC

  I'm using SQL Server 2008. I have a table with over 3 million records, which is related to another table with a million records. I have spent a few days experimenting with different ways of querying these tables. I have it down to two radically different queries, both of which take 6s to execute on my laptop. The first query uses a brute force method of evaluating possibly likely matches, and removes incorrect matches via aggregate summation calculations. The second gets all possibly likely matches, then removes incorrect matches via an EXCEPT query that uses two dedicated indexes to find the low and high mismatches. Logically, one would expect the brute force to be slow and the indexes one to be fast. Not so. And I have experimented heavily with indexes until I got the best speed. Further, the brute force query doesn't require as many indexes, which means that technically it would yield better overall system performance. Below are the two execution plans. If you can't see them, please let me know and I'll re-post then in landscape orientation / mail them to you. Brute-force query: Index-based exception query: My question is, based on the execution plans, which one look more efficient? I realize that thing may change as my data grows.

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• I'm doing a lot of lists and dictionary sorting...and this is causing memory errors in Python websit

  - by alex

  I retrieved data from the log table in my database. Then I started finding unique users, comparing/sorting lists, etc. In the end I got down to this. stats = {'2010-03-19': {'date': '2010-03-19', 'unique_users': 312, 'queries': 1465}, '2010-03-18': {'date': '2010-03-18', 'unique_users': 329, 'queries': 1659}, '2010-03-17': {'date': '2010-03-17', 'unique_users': 379, 'queries': 1845}, '2010-03-16': {'date': '2010-03-16', 'unique_users': 434, 'queries': 2336}, '2010-03-15': {'date': '2010-03-15', 'unique_users': 390, 'queries': 2138}, '2010-03-14': {'date': '2010-03-14', 'unique_users': 460, 'queries': 2221}, '2010-03-13': {'date': '2010-03-13', 'unique_users': 507, 'queries': 2242}, '2010-03-12': {'date': '2010-03-12', 'unique_users': 629, 'queries': 3523}, '2010-03-11': {'date': '2010-03-11', 'unique_users': 811, 'queries': 4274}, '2010-03-10': {'date': '2010-03-10', 'unique_users': 171, 'queries': 1297}, '2010-03-26': {'date': '2010-03-26', 'unique_users': 299, 'queries': 1617}, '2010-03-27': {'date': '2010-03-27', 'unique_users': 323, 'queries': 1310}, '2010-03-24': {'date': '2010-03-24', 'unique_users': 352, 'queries': 2112}, '2010-03-25': {'date': '2010-03-25', 'unique_users': 330, 'queries': 1290}, '2010-03-22': {'date': '2010-03-22', 'unique_users': 329, 'queries': 1798}, '2010-03-23': {'date': '2010-03-23', 'unique_users': 329, 'queries': 1857}, '2010-03-20': {'date': '2010-03-20', 'unique_users': 368, 'queries': 1693}, '2010-03-21': {'date': '2010-03-21', 'unique_users': 329, 'queries': 1511}, '2010-03-29': {'date': '2010-03-29', 'unique_users': 325, 'queries': 1718}, '2010-03-28': {'date': '2010-03-28', 'unique_users': 340, 'queries': 1815}, '2010-03-30': {'date': '2010-03-30', 'unique_users': 329, 'queries': 1891}} It's not a big dictionary. But when I try to do one last thing...it craps out on me. for k, v in stats: mylist.append(v) too many values to unpack What the heck does that mean??? TOO MANY VALUES TO UNPACK.

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• How to debug slow queries in Django+Postgres

  - by lacker

  My database queries from Django are starting to take 1-2 seconds and I'm having trouble figuring out why. Not too big a site, about 1-2 requests per second (that hit Django; static files are just served from nginx.) The thing that confuses me is, I can replicate the slowness in the Django shell using debug mode. But when I issue the exact same queries at an sql prompt they are fast. It takes about a second for a query to return, but when I check connection.queries it reports the time as under 10 ms. Here's an example (from the Django shell): >>> p = PlayerData.objects.get(uid="100000521952372") >>> a = time.time(); p.save(); print time.time() - a 1.96812295914 >>> for d in connection.queries: print d["time"] ... 0.002 0.000 0.000 How can I figure out where this extra time is being spent? I'm using Apache+mod_wsgi in daemon mode, but this happens with just the django shell as well, so I figure it is not apache-related.

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• How can i look at executed queries?

  - by taiga

  Hello, can anyone tell me how to view executed queries in SharePoint? I couldn't find a way to show query logs with SQL Server. As you know, SharePoint framework hides all queries from programmers. I would like to look into the queries and understand the mechanisms. http://www.infoq.com/articles/SharePoint-Andreas-Grabner In above article, i can see some windows showing methods and arguments(Queries). But i could not figure out where this window come from...(looks like a window from visual studio) Does anyone know how to show this window? or any alternative way to display executed queries? My working environment. Windows Server 2008 Enterprise MOSS 2007 SQL Server 2008 Enterprise Visual Studio 2008 with VSeWSS 1.2 Thank you in advance. Taiga

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• Analyze your IIS Log Files - Favorite Log Parser Queries

  The other day I was asked if I knew about a tool that would allow users to easily analyze the IIS Log Files, to process and look for specific data that could easily be automated. My recommendation was that if they were comfortable with using a SQL-like language that they should use Log Parser. Log Parser is a very powerful tool that provides a generic SQL-like language on top of many types of data like IIS Logs, Event Viewer entries, XML files, CSV files, File System and others; and it allows you...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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• Analyze your IIS Log Files - Favorite Log Parser Queries

  - by The Official Microsoft IIS Site

  The other day I was asked if I knew about a tool that would allow users to easily analyze the IIS Log Files, to process and look for specific data that could easily be automated. My recommendation was that if they were comfortable with using a SQL-like language that they should use Log Parser . Log Parser is a very powerful tool that provides a generic SQL-like language on top of many types of data like IIS Logs, Event Viewer entries, XML files, CSV files, File System and others; and it allows you...(read more)

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• SQL SERVER – Identify Most Resource Intensive Queries – SQL in Sixty Seconds #029 – Video

  - by pinaldave

  There are a few questions I often get asked. I wonder how interesting is that in our daily life all of us have to often need the same kind of information at the same time. Here is the example of the similar questions: How many user created tables are there in the database? How many non clustered indexes each of the tables in the database have? Is table Heap or has clustered index on it? How many rows each of the tables is contained in the database? I finally wrote down a very quick script (in less than sixty seconds when I originally wrote it) which can answer above questions. I also created a very quick video to explain the results and how to execute the script. Here is the complete script which I have used in the SQL in Sixty Seconds Video. SELECT [schema_name] = s.name, table_name = o.name, MAX(i1.type_desc) ClusteredIndexorHeap, COUNT(i.TYPE) NoOfNonClusteredIndex, p.rows FROM sys.indexes i INNER JOIN sys.objects o ON i.[object_id] = o.[object_id] INNER JOIN sys.schemas s ON o.[schema_id] = s.[schema_id] LEFT JOIN sys.partitions p ON p.OBJECT_ID = o.OBJECT_ID AND p.index_id IN (0,1) LEFT JOIN sys.indexes i1 ON i.OBJECT_ID = i1.OBJECT_ID AND i1.TYPE IN (0,1) WHERE o.TYPE IN ('U') AND i.TYPE = 2 GROUP BY s.name, o.name, p.rows ORDER BY schema_name, table_name Related Tips in SQL in Sixty Seconds: Find Row Count in Table – Find Largest Table in Database Find Row Count in Table – Find Largest Table in Database – T-SQL Identify Numbers of Non Clustered Index on Tables for Entire Database Index Levels, Page Count, Record Count and DMV – sys.dm_db_index_physical_stats Index Levels and Delete Operations – Page Level Observation What would you like to see in the next SQL in Sixty Seconds video? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Excel

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• Speed up SQL Server queries with PREFETCH

  - by Akshay Deep Lamba

  Problem The SAN data volume has a throughput capacity of 400MB/sec; however my query is still running slow and it is waiting on I/O (PAGEIOLATCH_SH). Windows Performance Monitor shows data volume speed of 4MB/sec. Where is the problem and how can I find the problem? Solution This is another summary of a great article published by R. Meyyappan at www.sqlworkshops.com.  In my opinion, this is the first article that highlights and explains with working examples how PREFETCH determines the performance of a Nested Loop join.  First of all, I just want to recall that Prefetch is a mechanism with which SQL Server can fire up many I/O requests in parallel for a Nested Loop join. When SQL Server executes a Nested Loop join, it may or may not enable Prefetch accordingly to the number of rows in the outer table. If the number of rows in the outer table is greater than 25 then SQL will enable and use Prefetch to speed up query performance, but it will not if it is less than 25 rows. In this section we are going to see different scenarios where prefetch is automatically enabled or disabled. These examples only use two tables RegionalOrder and Orders.  If you want to create the sample tables and sample data, please visit this site www.sqlworkshops.com. The breakdown of the data in the RegionalOrders table is shown below and the Orders table contains about 6 million rows. In this first example, I am creating a stored procedure against two tables and then execute the stored procedure.  Before running the stored proceudre, I am going to include the actual execution plan. --Example provided by www.sqlworkshops.com --Create procedure that pulls orders based on City --Do not forget to include the actual execution plan CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City END GO SET STATISTICS time ON GO --Example provided by www.sqlworkshops.com --Execute the procedure with parameter SmallCity1 EXEC RegionalOrdersProc 'SmallCity1' GO After running the stored procedure, if we right click on the Clustered Index Scan and click Properties we can see the Estimated Numbers of Rows is 24.    If we right click on Nested Loops and click Properties we do not see Prefetch, because it is disabled. This behavior was expected, because the number of rows containing the value ‘SmallCity1’ in the outer table is less than 25.   Now, if I run the same procedure with parameter ‘BigCity’ will Prefetch be enabled? --Example provided by www.sqlworkshops.com --Execute the procedure with parameter BigCity --We are using cached plan EXEC RegionalOrdersProc 'BigCity' GO As we can see from the below screenshot, prefetch is not enabled and the query takes around 7 seconds to execute. This is because the query used the cached plan from ‘SmallCity1’ that had prefetch disabled. Please note that even if we have 999 rows for ‘BigCity’ the Estimated Numbers of Rows is still 24.   Finally, let’s clear the procedure cache to trigger a new optimization and execute the procedure again. DBCC freeproccache GO EXEC RegionalOrdersProc 'BigCity' GO This time, our procedure runs under a second, Prefetch is enabled and the Estimated Number of Rows is 999.   The RegionalOrdersProc can be optimized by using the below example where we are using an optimizer hint. I have also shown some other hints that could be used as well. --Example provided by www.sqlworkshops.com --You can fix the issue by using any of the following --hints --Create procedure that pulls orders based on City DROP PROC RegionalOrdersProc GO CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City       --Hinting optimizer to use SmallCity2 for estimation       OPTION (optimize FOR (@City = 'SmallCity2'))       --Hinting optimizer to estimate for the currnet parameters       --option (recompile)       --Hinting optimize not to use histogram rather       --density for estimation (average of all 3 cities)       --option (optimize for (@City UNKNOWN))       --option (optimize for UNKNOWN) END GO Conclusion, this tip was mainly aimed at illustrating how Prefetch can speed up query execution and how the different number of rows can trigger this.

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• BIND9 server not responding to external queries

  - by Twitchy

  I have set up a BIND server on my dedicated box which I want to host a nameserver for my domain on. When I use dig @202.169.196.59 nzserver.co.nz locally on the server I get the following response... ; <<>> DiG 9.8.1-P1 <<>> @202.169.196.59 nzserver.co.nz ; (1 server found) ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 43773 ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 2, ADDITIONAL: 2 ;; QUESTION SECTION: ;nzserver.co.nz. IN A ;; ANSWER SECTION: nzserver.co.nz. 3600 IN A 202.169.196.59 ;; AUTHORITY SECTION: nzserver.co.nz. 3600 IN NS ns2.nzserver.co.nz. nzserver.co.nz. 3600 IN NS ns1.nzserver.co.nz. ;; ADDITIONAL SECTION: ns1.nzserver.co.nz. 3600 IN A 202.169.196.59 ns2.nzserver.co.nz. 3600 IN A 202.169.196.59 ;; Query time: 0 msec ;; SERVER: 202.169.196.59#53(202.169.196.59) ;; WHEN: Sat Oct 27 15:40:45 2012 ;; MSG SIZE rcvd: 116 Which is good, and is the output I want. But when simply using dig nzserver.co.nz I get... ; <<>> DiG 9.8.1-P1 <<>> nzserver.co.nz ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: SERVFAIL, id: 16970 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;nzserver.co.nz. IN A ;; Query time: 308 msec ;; SERVER: 202.169.192.61#53(202.169.192.61) ;; WHEN: Sat Oct 27 17:09:12 2012 ;; MSG SIZE rcvd: 32 And if I use dig @202.169.196.59 nzserver.co.nz on another linux machine I get... ; <<>> DiG 9.7.3 <<>> @202.169.196.59 nzserver.co.nz ; (1 server found) ;; global options: +cmd ;; connection timed out; no servers could be reached Am I doing something wrong here? Port 53 is definitely open. /etc/bind/named.conf.options options { directory "/var/cache/bind"; forwarders { 202.169.192.61; 202.169.206.10; }; listen-on { 202.169.196.59; }; }; /etc/bind/named.conf.local zone "nzserver.co.nz" { type master; file "/etc/bind/nzserver.co.nz.zone"; }; /etc/bind/nzserver.co.nz.zone ; BIND db file for nzserver.co.nz $ORIGIN nzserver.co.nz. @ IN SOA ns1.nzserver.co.nz. mr.steven.french.gmail.com. ( 2012102606 28800 7200 864000 3600 ) NS ns1.nzserver.co.nz. NS ns2.nzserver.co.nz. MX 10 mail.nzserver.co.nz. @ IN A 202.169.196.59 * IN A 202.169.196.59 ns1 IN A 202.169.196.59 ns2 IN A 202.169.196.59 www IN A 202.169.196.59 mail IN A 202.169.196.59

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• Enhancing performance in Entity Framework applications by precompiling LINQ to Entities queries

  - by nikolaosk

  This is going to be the tenth post of a series of posts regarding ASP.Net and the Entity Framework and how we can use Entity Framework to access our datastore. You can find the first one here , the second one here , the third one here , the fourth one here , the fifth one here ,the sixth one here ,the seventh one here ,the eighth one here and the ninth one here . I have a post regarding ASP.Net and EntityDataSource . You can read it here .I have 3 more posts on Profiling Entity Framework applications...(read more)

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• Full Text Index Queries using CONTAINS and CONTAINSTABLE

  Recent installments of our SQL Server 2005 Express Edition series have been discussing its implementation of Full Text Indexing. This article focuses on the remaining two constructs, CONTAINS and CONTAINSTABLE.

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• Avoid Multiple Queries When Querying for Max and Min Values

  Instead of making one query to get the Max and Min values for a column, and then making another query to get additional information about those rows, you can do it all in one query.

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• SQL SERVER Spatial Database Queries What About BLOB T-SQL Tuesday #006

  Michael Coles is one of the most interesting book authors I have ever met. He has a flair of writing complex stuff in a simple language. There are a very few people like that. I really enjoyed reading his recent book, Expert SQL Server 2008 Encryption. I strongly suggest taking a look at it. This [...]...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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• Unit test SHA256 wrapper queries

  - by Sam Leach

  I am just beginning to write unit tests. So please bear with me. I have the following SHA256 wrapper. public static string SHA256(string plainText) { StringBuilder sb = new StringBuilder(); SHA256CryptoServiceProvider provider = new SHA256CryptoServiceProvider(); var hashedBytes = provider.ComputeHash(Encoding.UTF8.GetBytes(plainText)); for (int i = 0; i < hashedBytes.Length; i++) { sb.Append(hashedBytes[i].ToString("x2").ToLower()); } return sb.ToString(); } Do I want to be testing it? If so, what do you recommend? My thought process is as follows: What logic is there here. The answer is my for loop and ToString("x2") so from my understanding I want to be testing this part? I can assume Encoding.UTF8.GetBytes(plainText) works. Correct assumption? I can assume SHA256CryptoServiceProvider.ComputeHash() works. Correct assumption? I want to be only testing my logic. In this case is limited to the printing of hex encoded hash. Correct? Thanks.

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• Best practices for caching search queries

  - by David Esteves

  I am trying to improve performance of my ASP.net Web Api by adding a data cache but I am not sure how exactly to go about it as it seems to be more complex than most caching scenarios. An example is I have a table of Locations and an api to retrieve locations via search, for an autocomplete. /api/location/Londo and the query would be something like SELECT * FROM Locations WHERE Name like 'Londo%' These locations change very infrequently so I would like to cache them to prevent trips to the database for no real reason and improve the response time. Looking at caching options I am using the Windows Azure Appfabric system, the problem is it's just a key/value cache. Since I can only retrieve items based on keys I couldn't actually use it for this scenario as far as Im aware. Is what I am trying to do bad use of a caching system? Should I try looking into NoSql DB which could possibly run as a cache for something like this to improve performance? Should I just cache the entire table/collection in a single key with a specific data structure which could assist with the searching and then do the search upon retrieval of the data?

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• CSS tags/media queries for chrome on iPhone [migrated]

  - by Mick79

  So Chrome is here for iOS.. Hoorah! However now due to the different screen layout (no footer toolbar) it messes with the ability to make a perfect layout for iphone web pages. I have a site for my company that resided perfectly inside an iphone screen, no scrolling required, it looked like an app. However now that chrome is here (and wildly popular) with its different screen layout, sites that were sized for iphone safari now look odd. Is there, or will there be, ways to isolate out chrome from safari and give them different CSS?

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• MySQL Multi-Aggregated Rows in Crosstab Queries

  MySQL's crosstabs contain aggregate functions on two or more fields, presented in a tabular format. In a multi-aggregate crosstab query, two different functions can be applied to the same field or the same function can be applied to multiple fields on the same (row or column) axis. Rob Gravelle shows you how to apply two different functions to the same field in order to create grouping levels in the row axis.

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