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  • Getting Query Parameters in Javascript

    - by PhubarBaz
    I find myself needing to get query parameters that are passed into a web app on the URL quite often. At first I wrote a function that creates an associative array (aka object) with all of the parameters as keys and returns it. But then I was looking at the revealing module pattern, a nice javascript design pattern designed to hide private functions, and came up with a way to do this without even calling a function. What I came up with was this nice little object that automatically initializes itself into the same associative array that the function call did previously. // Creates associative array (object) of query params var QueryParameters = (function() {     var result = {};     if (window.location.search)     {         // split up the query string and store in an associative array         var params = window.location.search.slice(1).split("&");         for (var i = 0; i < params.length; i++)         {             var tmp = params[i].split("=");             result[tmp[0]] = unescape(tmp[1]);         }     }     return result; }()); Now all you have to do to get the query parameters is just reference them from the QueryParameters object. There is no need to create a new object or call any function to initialize it. var debug = (QueryParameters.debug === "true"); or if (QueryParameters["debug"]) doSomeDebugging(); or loop through all of the parameters. for (var param in QueryParameters) var value = QueryParameters[param]; Hope you find this object useful.

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  • SQL SERVER – Plan Cache and Data Cache in Memory

    - by pinaldave
    I get following question almost all the time when I go for consultations or training. I often end up providing the scripts to my clients and attendees. Instead of writing new blog post, today in this single blog post, I am going to cover both the script and going to link to original blog posts where I have mentioned about this blog post. Plan Cache in Memory USE AdventureWorks GO SELECT [text], cp.size_in_bytes, plan_handle FROM sys.dm_exec_cached_plans AS cp CROSS APPLY sys.dm_exec_sql_text(plan_handle) WHERE cp.cacheobjtype = N'Compiled Plan' ORDER BY cp.size_in_bytes DESC GO Further explanation of this script is over here: SQL SERVER – Plan Cache – Retrieve and Remove – A Simple Script Data Cache in Memory USE AdventureWorks GO SELECT COUNT(*) AS cached_pages_count, name AS BaseTableName, IndexName, IndexTypeDesc FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT s_obj.name, s_obj.index_id, s_obj.allocation_unit_id, s_obj.OBJECT_ID, i.name IndexName, i.type_desc IndexTypeDesc FROM ( SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id ,allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.TYPE = 1 OR au.TYPE = 3) UNION ALL SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id, allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.TYPE = 2 ) AS s_obj LEFT JOIN sys.indexes i ON i.index_id = s_obj.index_id AND i.OBJECT_ID = s_obj.OBJECT_ID ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = DB_ID() GROUP BY name, index_id, IndexName, IndexTypeDesc ORDER BY cached_pages_count DESC; GO Further explanation of this script is over here: SQL SERVER – Get Query Plan Along with Query Text and Execution Count 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, T SQL Tagged: SQL Memory

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  • TechDays 2010 Portugal - The Day After

    - by Ricardo Peres
    Well, TechDays 2010 Portugal is over, time for a balance. I really enjoyed being a speaker, although my presentation took a lot more time than it should, it was gratifying to see so many people staying until the end. Lots of subjects were left behind, though. My presentation is available at my SkyDrive, here. Soon I will place there the source code, too. I would like to know if you've been there, and, if so, what do you think of my presentation! Feel free to send your thoughts, whatever they are. On the other hand, I saw some really interesting presentations, to name a few, from Nuno Antunes, Nuno Godinho, Filipe Prezado, Nuno Silva and my friend André Lage. I also had the chance to finally meet Caio Proiete and Pedro Perfeito. Perhaps we'll meet again at TechDays Remix, who knows.

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  • SQL SERVER – Copy Column Headers from Resultset – SQL in Sixty Seconds #027 – Video

    - by pinaldave
    SQL Server Management Studio returns results in Grid View, Text View and to the file. When we copy results from Grid View to Excel there is a common complaint that the column  header displayed in resultset is not copied to the Excel. I often spend time in performance tuning databases and I run many DMV’s in SSMS to get a quick view of the server. In my case it is almost certain that I need all the time column headers when I copy my data to excel or any other place. SQL Server Management Studio have two different ways to do this. Method 1: Ad-hoc When result is rendered you can right click on the resultset and click on Copy Header. This will copy the headers along with the resultset. Additionally, you can use the shortcut key CTRL+SHIFT+C for coping column headers along with the resultset. Method 2: Option Setting at SSMS level This is SSMS level settings and I kept this option always selected as I often need the column headers when I select the resultset. Go Tools >> Options >> Query Results >> SQL Server >> Results to Grid >> Check the Box “Include column header when copying or saving the results.” Both of the methods are discussed in following SQL in Sixty Seconds Video. Here is the code used in the video. Related Tips in SQL in Sixty Seconds: Copy Column Headers in Query Analyzers in Result Set Getting Columns Headers without Result Data – SET FMTONLY ON If we like your idea we promise to share with you educational material. 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

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  • SQL SERVER – Get File Statistics Using fn_virtualfilestats

    - by pinaldave
    Quite often when I am staring at my SSMS I wonder what is going on under the hood in my SQL Server. I often want to know which database is very busy and which database is bit slow because of IO issue. Sometime, I think at the file level as well. I want to know which MDF or NDF is busiest and doing most of the work. Following query gets the same results very quickly. SELECT DB_NAME(vfs.DbId) DatabaseName, mf.name, mf.physical_name, vfs.BytesRead, vfs.BytesWritten, vfs.IoStallMS, vfs.IoStallReadMS, vfs.IoStallWriteMS, vfs.NumberReads, vfs.NumberWrites, (Size*8)/1024 Size_MB FROM ::fn_virtualfilestats(NULL,NULL) vfs INNER JOIN sys.master_files mf ON mf.database_id = vfs.DbId AND mf.FILE_ID = vfs.FileId GO When you run above query you will get many valuable information like what is the size of the file as well how many times the reads and writes are done for each file. It also displays the read/write data in bytes. Due to IO if there has been any stall (delay) in read or write, you can know that as well. I keep this handy but have not shared on blog earlier. 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 View, T SQL, Technology Tagged: Statistics

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  • Sharp Architecture 1.9.5 Released

    - by AlecWhittington
    The S#arp Architecture team is proud to announce the release of version 1.9.5. This version has had the following changes: Upgraded to MVC 3 RTM Solution upgraded to .NET 4 Implementation of IDependencyResolver provided, but not implemented This marks the last scheduled release of 1.X for S#arp Architecture . The team is working hard to get the 2.0 release out the door and we hope to have a preview of that coming soon. With regards to IDependencyResolver, we have provided an implementation, but have...(read more)

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  • SQL SERVER – Copy Column Headers from Resultset – SQL in Sixty Seconds #026 – Video

    - by pinaldave
    SQL Server Management Studio returns results in Grid View, Text View and to the file. When we copy results from Grid View to Excel there is a common complaint that the column  header displayed in resultset is not copied to the Excel. I often spend time in performance tuning databases and I run many DMV’s in SSMS to get a quick view of the server. In my case it is almost certain that I need all the time column headers when I copy my data to excel or any other place. SQL Server Management Studio have two different ways to do this. Method 1: Ad-hoc When result is rendered you can right click on the resultset and click on Copy Header. This will copy the headers along with the resultset. Additionally, you can use the shortcut key CTRL+SHIFT+C for coping column headers along with the resultset. Method 2: Option Setting at SSMS level This is SSMS level settings and I kept this option always selected as I often need the column headers when I select the resultset. Go Tools >> Options >> Query Results >> SQL Server >> Results to Grid >> Check the Box “Include column header when copying or saving the results.” Both of the methods are discussed in following SQL in Sixty Seconds Video. Here is the code used in the video. Related Tips in SQL in Sixty Seconds: Copy Column Headers in Query Analyzers in Result Set Getting Columns Headers without Result Data – SET FMTONLY ON If we like your idea we promise to share with you educational material. 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

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  • SQL SERVER – Retrieve SQL Server Installation Date Time

    - by pinaldave
    I have been asked this question number of times and my answer always have been – search online and you will find the answer. Every single time when someone has followed my answer – they have found accurate answer in first few clicks. However increasingly this question getting very popular so I have decided to answer this question here. I usually prefer to create my own T-SQL script but in today’s case, I have taken the script from web. I have seen this script at so many places I do not know who is original creator so not sure who should get credit for the same. Question: How to retrieve SQL Server Installation date? Answer: Run following query and it will give you date of SQL Server Installation. SELECT create_date FROM sys.server_principals WHERE sid = 0x010100000000000512000000 Question: I have installed SQL Server Evaluation version how do I know what is the expiry date for it? Answer: SQL Server evaluation period is for 180 days. The expiration date is always 180 days from the initial installation. Following query will give an expiration date of evaluation version. -- Evaluation Version Expire Date SELECT create_date AS InstallationDate, DATEADD(DD, 180, create_date) AS 'Expiry Date' FROM sys.server_principals WHERE sid = 0x010100000000000512000000 GO I believe there is a way to do the same using registry but I have not explored it personally. Now as I said earlier there are many different blog posts on this subject. Let me list a few which I really enjoyed to read personally as they shared few more insights over this subject. Retrieving SQL Server 2012 Evaluation Period Expiry Date How to find the Installation Date for an Evaluation Edition of SQL Server Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL DateTime, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Right Aligning Numerics in SQL Server Management Studio (SSMS)

    - by pinaldave
    SQL Server Management Studio is my most favorite tool and the comfort it provides to user is sometime very amazing. Recently I was retrieving numeric data in SSMS and I found it is very difficult to read them as they were all right aligned. Please pay attention to following image, you will notice that it is not easier to read the digits as we are used to read the numbers which are right aligned. I immediately thought before I go for any other tricks I should check the query properties. I right clicked on query properties and I found following option. I checked option Right align numeric values and it just worked fine. Do you have any other similar tricks which do you practice often. I prefer to also include column headers in the result set as it gives me proper perspective of which column I have selected. Sometime little tips like this helps a lot in productivity, I encourage you to share your tips. I will publish it with due credit. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • How Orchard works

    - by Bertrand Le Roy
    I just finished writing a long documentation topic on the Orchard project wiki that aims at being a good starting point for developers who want to understand the architecture, structure and general philosophy behind the Orchard CMS. It is not required reading for anyone who only wants to write Orchard modules and themes but hopefully it will help people who want to evaluate the platform and start writing patches. Read it here: http://orchardproject.net/docs/How-Orchard-works.ashx

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  • SQL – Difference Between INNER JOIN and JOIN

    - by Pinal Dave
    Here is the follow up question to my earlier question SQL – Difference between != and Operator <> used for NOT EQUAL TO Operation. There was a pretty good discussion about this subject earlier and lots of people participated with their opinion. Though the answer was very simple but the conversation was indeed delightful and was indeed very informative. In this blog post I have another following up question to all of you. What is the difference between INNER JOIN and JOIN? If you are working with database you will find developers use above both the kinds of the joins in their SQL Queries. Here is the quick example of the same. Query using INNER JOIN SELECT * FROM Table1 INNER JOIN  Table2 ON Table1.Col1 = Table2.Col1 Query using JOIN SELECT * FROM Table1 JOIN  Table2 ON Table1.Col1 = Table2.Col1 The question is what is the difference between above two syntax. Here is the answer – They are equal to each other. There is absolutely no difference between them. They are equal in performance as well as implementation. JOIN is actually shorter version of INNER JOIN. Personally I prefer to write INNER JOIN because it is much cleaner to read and it avoids any confusion if there is related to JOIN. For example if users had written INNER JOIN instead of JOIN there would have been no confusion in mind and hence there was no need to have original question. Here is the question back to you - Which one of the following syntax do you use when you are inner joining two tables – INNER JOIN or JOIN? and Why? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Joins, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Follow up – Usage of $rowguid and $IDENTITY

    - by pinaldave
    The most common question I often receive is why do I blog? The answer is even simpler – I blog because I get an extremely constructive comment and conversation from people like DHall and Kumar Harsh. Earlier this week, I shared a conversation between Madhivanan and myself regarding how to find out if a table uses ROWGUID or not? I encourage all of you to read the conversation here: SQL SERVER – Identifying Column Data Type of uniqueidentifier without Querying System Tables. In simple words the conversation between Madhivanan and myself brought out a simple query which returns the values of the UNIQUEIDENTIFIER  without knowing the name of the column. David Hall wrote few excellent comments as a follow up and every SQL Enthusiast must read them first, second and third. David is always with positive energy, he first of all shows the limitation of my solution here and here which he follows up with his own solution here. As he said his solution is also not perfect but it indeed leaves learning bites for all of us – worth reading if you are interested in unorthodox solutions. Kumar Harsh suggested that one can also find Identity Column used in the table very similar way using $IDENTITY. Here is how one can do the same. DECLARE @t TABLE ( GuidCol UNIQUEIDENTIFIER DEFAULT newsequentialid() ROWGUIDCOL, IDENTITYCL INT IDENTITY(1,1), data VARCHAR(60) ) INSERT INTO @t (data) SELECT 'test' INSERT INTO @t (data) SELECT 'test1' SELECT $rowguid,$IDENTITY FROM @t There are alternate ways also to find an identity column in the database as well. Following query will give a list of all column names with their corresponding tablename. SELECT SCHEMA_NAME(so.schema_id) SchemaName, so.name TableName, sc.name ColumnName FROM sys.objects so INNER JOIN sys.columns sc ON so.OBJECT_ID = sc.OBJECT_ID AND sc.is_identity = 1 Let me know if you use any alternate method related to identity, I would like to know what you do and how you do when you have to deal with Identity Column. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • How Orchard works

    - by Latest Microsoft Blogs
    I just finished writing a long documentation topic on the Orchard project wiki that aims at being a good starting point for developers who want to understand the architecture, structure and general philosophy behind the Orchard CMS. It is not required Read More......(read more)

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  • Why is my query soooooo slow?

    - by geekrutherford
    A stored procedure used in our production environment recently became so slow it cause the calling web service to begin timing out. When running the stored procedure in Query Analyzer it took nearly 3 minutes to complete.   The stored procedure itself does little more than create a small bit of dynamic SQL which calls a view with a where clause at the end.   At first the thought was that the query used within the view needed to be optimized. The query is quite long and therefore easy to jump to this conclusion.   Fortunately, after bringing the issue to the attention of a coworker they asked "is there a where clause, and if so, is there an index on the column(s) in it?" I had no idea and quickly said as much. A quick check on the table/column utilized in the where clause indicated indeed there was no index.   Before adding the index, and after admitting I am no SQL wiz, I checked the internet for info on the difference between clustered and non-clustered indexes. I found the following site quite helpful OdeToCode. After adding the non-clustered index on the column, the query that used to take nearly 3 minutes now takes 10 seconds! Ah, if only I'd thought to do this ahead of time!

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  • implementing dynamic query handler on historical data

    - by user2390183
    EDIT : Refined question to focus on the core issue Context: I have historical data about property (house) sales collected from various sources in a centralized/cloud data source (assume info collection is handled by a third party) Planning to develop an application to query and retrieve data from this centralized data source Example Queries: Simple : for given XYZ post code, what is average house price for 3 bed room house? Complex: What is estimated price for an house at "DD,Some Street,XYZ Post Code" (worked out from average values of historic data filtered by various characteristics of the house: house post code, no of bed rooms, total area, and other deeper insights like house building type, year of built, features)? In addition to average price, the application should support other property info ** maximum, or minimum price..etc and trend (graph) on a selected property attribute over a period of time**. Hence, the queries should not enforce the search based on a primary key or few fixed fields In other words, queries can be What is the change in 3 Bed Room house price (irrespective of location) over last 30 days? What kind of properties we can get for X price (irrespective of location or house type) The challenge I have is identifying the domain (BI/ Data Analytical or DB Design or DB Query Interface or DW related or something else) this problem (dynamic query on historic data) belong to, so that I can do further exploration My findings so far I could be wrong on the following, so please correct me if you think so I briefly read about BI/Data Analytics - I think it is heavy weight solution for my problem and has scalability issues. DB Design - As I understand RDBMS works well if you know Data model at design time. I am expecting attributes about property or other entity (user) that am going to bring in, would evolve quickly. hence maintenance would be an issue. As I am going to have multiple users executing query at same time, performance would be a bottleneck Other options like Graph DB (http://www.tinkerpop.com/) seems to be bit complex (they are good. but using those tools meant for generic purpose, make me think like assembly programming to solve my problem ) BigData related solution are to analyse data from multiple unrelated domains So, Any suggestion on the space this problem fit in ? (Especially if you have design/implementation experience of back-end for property listing or similar portals)

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  • Most common parts of a SELECT SQL query?

    - by jnrbsn
    I'm writing a function that generates a SELECT SQL query. (I'm not looking for a tool that already does this.) My function currently takes the following arguments which correspond to different parts of the SELECT query (the base table name is already known): where order fields joins group limit All of these arguments will be optional so that the function generates something like this by default: SELECT * FROM `table_name` I want to order the arguments so that the most often used parts of a SELECT query are first. That way the average call to the function will use as few of the arguments as possible rather than passing a null value or something like that to skip an argument. For example, if someone wanted to use the 1st and 3rd arguments but not the rest, they might have to pass a null value as the 2nd argument in order to skip it. So, for general purpose use, how should I order the arguments? Edit: To be more precise, out of the query parts I listed above, what is the order from most used to least used? Also, I'm not looking for solutions that allow me to not have to specify the order. Edit #2: The "fields" argument will default to "*" (i.e all fields/columns).

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  • How to do left joins with least-n-per-group query?

    - by Nate
    I'm trying to get a somewhat complicated query working and am not having any luck whatsoever. Suppose I have the following tables: cart_items: +--------------------------------------------+ | item_id | cart_id | movie_name | quantity | +--------------------------------------------+ | 0 | 0 | braveheart | 4 | | 1 | 0 | braveheart | 9 | | . | . | . | . | | . | . | . | . | | . | . | . | . | | . | . | . | . | +--------------------------------------------+ movies: +------------------------------+ | movie_id | movie_name | ... | +------------------------------+ | 0 | braveheart | . | | . | . | . | | . | . | . | | . | . | . | | . | . | . | +------------------------------+ pricing: +-----------------------------------------+ | id | movie_name | quantity | price_per | +-----------------------------------------+ | 0 | braveheart | 1 | 1.99 | | 1 | braveheart | 2 | 1.50 | | 2 | braveheart | 4 | 1.25 | | 3 | braveheart | 8 | 1.00 | | . | . | . | . | | . | . | . | . | | . | . | . | . | | . | . | . | . | | . | . | . | . | +-----------------------------------------+ I need to join the data from the tables, but with the added complexity that I need to get appropriate price_per from the pricing table. Only one price should be returned for each cart_item, and that should be the lowest price from the pricing table where the quantity for the cart item is at least the quantity in the pricing table. So, the query should return for each item in cart_items the following: +---------------------------------------------+ | item_id | movie_name | quantity | price_per | +---------------------------------------------+ Example 1: Variable passed to the query: cart_id = 0. Return: +---------------------------------------------+ | item_id | movie_name | quantity | price_per | +---------------------------------------------+ | 0 | braveheart | 4 | 1.25 | | 1 | braveheart | 9 | 1.00 | +---------------------------------------------+ Note that this is a minimalist example and that additional data will be pulled from the tables mentioned (particularly the movies table). How could this query be composed? I have tried using left joins and subqueries, but the difficult part is getting the price and nothing I have tried has worked. Thanks for your help. EDIT: I think this is similar to what I have working with my "real" tables: SELECT t1.item_id, t2.movie_name, t1.quantity FROM cart_items t1 LEFT JOIN movies t2 ON t2.movie_name = t1.movie_name WHERE t1.cart_id = 0 Assuming I wrote that correctly (I quickly tried to "port over" my real query), then the output would currently be: +---------------------------------+ | item_id | movie_name | quantity | +---------------------------------+ | 0 | braveheart | 4 | | 1 | braveheart | 9 | +---------------------------------+ The trouble I'm having is joining the price at a certain quantity for a movie. I simply cannot figure out how to do it.

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  • How can I remove this query from within a loop?

    - by Chris
    I am currently designing a forum as a personal project. One of the recurring issues I've come across is database queries in loops. I've managed to avoid doing that so far by using table joins or caching of data in arrays for later use. Right now though I've come across a situation where I'm not sure how I can write the code in such a way that I can use either of those methods easily. However I'd still prefer to do at most 2 queries for this operation rather than 1 + 1 per group of forums, which so far has resulted in 5 per page. So while 5 isn't a huge number (though it will increase for each forum group I add) it's the principle that's important to me here, I do NOT want to write queries in loops What I'm doing is displaying forum index groupings (eg admin forums, user forums etc) and then each forum within that group on a single page index, it's the combination of both in one page that's causing me issue. If it had just been a single group per page, I'd use a table join and problem solved. But if I use a table join here, although I can potentially get all the data I need it'll be in one mass of results and it needs displaying properly. Here's the code (I've removed some of the html for clarity) <?php $sql= "select * from forum_groups"; //query 1 $result1 = $database->query($sql); while($group = mysql_fetch_assoc($result1)) //first loop {?> <table class="threads"> <tr> <td class="forumgroupheader"> <?php echo $group['group_name']; ?> </td> </tr> <tr> <td class="forumgroupheader2"> <?php echo $group['group_desc']; ?> </td> </tr> </table> <table> <tr> <th class="thforum"> Forum Name</th> <th class="thforum"> Forum Decsription</th> <th class="thforum"> Last Post </th> <tr> <?php $group_id = $group['id']; $sql = "SELECT forums.id, forums.forum_group_id, forums.forum_name, forums.forum_desc, forums.visible_rank, forums.locked, forums.lock_rank, forums.topics, forums.posts, forums.last_post, forums.last_post_id, users.username FROM forums LEFT JOIN users on forums.last_post_id=users.id WHERE forum_group_id='{$group_id}'"; //query 2 $result2 = $database->query($sql); while($forum = mysql_fetch_assoc($result2)) //second loop {?> So how can I either a) write the SQL in such a way as to remove the second query from inside the loop or b) combine the results in an array either way I need to be able to access the data as an when so I can format it properly for the page output, ie within the loops still.

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  • IIS URL Rewrite Module Query String Parameters

    - by binarycoder
    Is it possible to use URL Rewrite to provide more complex query string functionality than the "Append query string" checkbox that it has? Specifically, is it possible to specify the keys for certain query string parameters and have it only append those name value pairs. For example, for the input: http://www.example.org/test?alpha=1&beta=2&gamma=3 and the list of query string parameter keys: beta gamma it should output: http://www.example.org/redirect?beta=2&gamma=3 (Note that the query string parameters in the input appear in arbitrary order.)

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  • SQL SERVER – DMV – sys.dm_os_wait_stats Explanation – Wait Type – Day 3 of 28

    - by pinaldave
    The key Dynamic Management View (DMV) that helps us to understand wait stats is sys.dm_os_wait_stats; this DMV gives us all the information that we need to know regarding wait stats. However, the interpretation is left to us. This is a challenge as understanding wait stats can often be quite tricky. Anyway, we will cover few wait stats in one of the future articles. Today we will go over the basic understanding of the DMV. The Official Book OnLine Reference for DMV is over here: sys.dm_os_wait_stats. I suggest you all to refer this for all the accuracy. Following is a statement from the online book: “Specific types of wait times during query execution can indicate bottlenecks or stall points within the query. Similarly, high wait times, or wait counts server wide can indicate bottlenecks or hot spots in interaction query interactions within the server instance.” This is the statement which has inspired me to write this series. Let us first run the following statement from DMV. SELECT * FROM sys.dm_os_wait_stats ORDER BY wait_time_ms DESC GO Above statement will show us few of the columns. Here it is quick explanation of each of the column. wait_type – this is the name of the wait type. There can be three different kinds of wait types – resource, queue and external. waiting_tasks_count – this incremental counter is a good indication of frequent the wait is happening. If this number is very high, it is good indication for us to investigate that particular wait type. It is quite possible that the wait time is considerably low, but the frequency of the wait is much high. wait_time_ms – this is total wait accumulated for any type of wait. This is the total wait time and includes singal_wait_time_ms. max_wait_time_ms – this indicates the maximum wait type ever occurred for that particular wait type. Using this, one can estimate the intensity of the wait type in past. Again, it is not necessary that this max wait time will occur every time; so do not over invest yourself here. signal_wait_time_ms – this is the wait time when thread is marked as runnable and it gets to the running state. If the runnable queue is very long, you will find that this wait time becomes high. Additionally, please note that this DMV does not show current wait type or wait stats. This is cumulative view of the all the wait stats since server (instance) restarted or wait stats have been cleared. In future blog post, we will also cover two more DMVs which can be helpful to identify wait-related issues. ?sys.dm_os_waiting_tasks sys.dm_exec_requests Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – Updating Data in A Columnstore Index

    - by pinaldave
    So far I have written two articles on Columnstore Indexes, and both of them got very interesting readership. In fact, just recently I got a query on my previous article on Columnstore Index. Read the following two articles to get familiar with the Columnstore Index. They will give you a reference to the question which was asked by a certain reader: SQL SERVER – Fundamentals of Columnstore Index SQL SERVER – How to Ignore Columnstore Index Usage in Query Here is the reader’s question: ” When I tried to update my table after creating the Columnstore index, it gives me an error. What should I do?” When the Columnstore index is created on the table, the table becomes Read-Only table and it does not let any insert/update/delete on the table. The basic understanding is that Columnstore Index will be created on the table that is very huge and holds lots of data. If a table is small enough, there is no need to create a Columnstore index. The regular index should just help it. The reason why Columnstore index was needed is because the table was so big that retrieving the data was taking a really, really long time. Now, updating such a huge table is always a challenge by itself. If the Columnstore Index is created on the table, and the table needs to be updated, you need to know that there are various ways to update it. The easiest way is to disable the Index and enable it. Consider the following code: USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Attempt to Update the table UPDATE [dbo].[MySalesOrderDetail] SET OrderQty = OrderQty +1 WHERE [SalesOrderID] = 43659 GO /* It will throw following error Msg 35330, Level 15, State 1, Line 2 UPDATE statement failed because data cannot be updated in a table with a columnstore index. Consider disabling the columnstore index before issuing the UPDATE statement, then rebuilding the columnstore index after UPDATE is complete. */ A similar error also shows up for Insert/Delete function. Here is the workaround. Disable the Columnstore Index and performance update, enable the Columnstore Index: -- Disable the Columnstore Index ALTER INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] DISABLE GO -- Attempt to Update the table UPDATE [dbo].[MySalesOrderDetail] SET OrderQty = OrderQty +1 WHERE [SalesOrderID] = 43659 GO -- Rebuild the Columnstore Index ALTER INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] REBUILD GO This time it will not throw an error while the update of the table goes successfully. Let us do a cleanup of our tables using this code: -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In the next post we will see how we can use Partition to update the Columnstore Index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – A Puzzle Part 4 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value

    - by pinaldave
    It seems like every weekend I get a new puzzle in my mind. Before continuing I suggest you read my previous posts here where I have shared earlier puzzles. A Puzzle – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value  A Puzzle Part 2 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value A Puzzle Part 3 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value After reading above three posts, I am very confident that you all will be ready for the next set of puzzles now. First execute the script which I have written here. Now guess what will be the next value as requested in the query. USE TempDB GO -- Create sequence CREATE SEQUENCE dbo.SequenceID AS DECIMAL(3,0) START WITH 1 INCREMENT BY -1 MINVALUE 1 MAXVALUE 3 CYCLE NO CACHE; GO SELECT next value FOR dbo.SequenceID; -- Guess the number SELECT next value FOR dbo.SequenceID; -- Clean up DROP SEQUENCE dbo.SequenceID; GO Please note that Starting value is 1, Increment value is the negative value of -1 and Minimum value is 3. Now let us first assume how this will work out. In our example of the sequence starting value is equal to 1 and decrement value is -1, this means the value should decrement from 1 to 0. However, the minimum value is 1. This means the value cannot further decrement at all. What will happen here? The natural assumption is that it should throw an error. How many of you are assuming about query will throw an ERROR? Well, you are WRONG! Do not blame yourself, it is my fault as I have told you only half of the story. Now if you have voted for error, let us continue running above code in SQL Server Management Studio. The above script will give the following output: Isn’t it interesting that instead of error out it is giving us result value 3. To understand the answer about the same, carefully observe the original syntax of creating SEQUENCE – there is a keyword CYCLE. This keyword cycles the values between the minimum and maximum value and when one of the range is exhausted it cycles the values from the other end of the cycle. As we have negative incremental value when query reaches to the minimum value or lower end it will cycle it from the maximum value. Here the maximum value is 3 so the next logical value is 3. If your business requirement is such that if sequence reaches the maximum or minimum value, it should throw an error, you should not use the keyword cycle, and it will behave as discussed. I hope, you are enjoying the puzzles as much as I am enjoying it. If you have any interesting puzzle to share, please do share with me and I will share this on blog with due credit to you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Developer Training – 6 Online Courses to Learn SQL Server, MySQL and Technology

    - by Pinal Dave
    Video courses are the next big thing and I am so happy that I have so far authored 6 different video courses with Pluralsight. Here is the list of the courses. I have listed all of my video courses over here. Note: If you click on the courses and it does not open, you need to login to Pluralsight with a valid username and password or sign up for a FREE trial. Please leave a comment with your favorite course in the comment section. Random 10 winners will get surprise gift via email. Bonus: If you list your favorite module from the course site. SQL Server Performance: Introduction to Query Tuning SQL Server performance tuning is an in-depth topic, and an art to master. A key component of overall application performance tuning is query tuning. Writing queries in an efficient manner, and making sure they execute in the most optimal way possible, is always a challenge. The basics revolve around the details of how SQL Server carries out query execution, so the optimizations explored in this course follow along the same lines. Click to View Course SQL Server Performance: Indexing Basics Indexes are the most crucial objects of the database. They are the first stop for any DBA and Developer when it is about performance tuning. There is a good side as well evil side of the indexes. To master the art of performance tuning one has to understand the fundamentals of the indexes and the best practices associated with the same. This course is for every DBA and Developer who deals with performance tuning and wants to use indexes to improve the performance of the server. Click to View Course SQL Server Questions and Answers This course is designed to help you better understand how to use SQL Server effectively. The course presents many of the common misconceptions about SQL Server, and then carefully debunks those misconceptions with clear explanations and short but compelling demos, showing you how SQL Server really works. This course is for anyone working with SQL Server databases who wants to improve her knowledge and understanding of this complex platform. Click to View Course MySQL Fundamentals MySQL is a popular choice of database for use in web applications, and is a central component of the widely used LAMP open source web application software stack. This course covers the fundamentals of MySQL, including how to install MySQL as well as written basic data retrieval and data modification queries. Click to View Course Building a Successful Blog Expressing yourself is the most common behavior of humans. Blogging has made easy to express yourself. Just like a letter or book has a structure and formula, blogging also has structure and formula. In this introductory course on blogging we will go over a few of the basics of blogging and show the way to get started with blogging immediately. If you already have a blog, this course will be even more relevant as this will discuss many of the common questions and issue you face in your blogging routine. Click to View Course Introduction to ColdFusion ColdFusion is rapid web application development platform. In this course you will learn the basics of how to use ColdFusion platform and rapidly develop web sites. The course begins with learning basics of ColdFusion Markup Language and moves to common development language practices. From there we move to frequent database operations and advanced concepts of Forms, Sessions and Cookies. The last module sums up all the concepts covered in the course with sample application. Click to View Course Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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  • SQL SERVER – Puzzle #1 – Querying Pattern Ranges and Wild Cards

    - by Pinal Dave
    Note: Read at the end of the blog post how you can get five Joes 2 Pros Book #1 and a surprise gift. I have been blogging for almost 7 years and every other day I receive questions about Querying Pattern Ranges. The most common way to solve the problem is to use Wild Cards. However, not everyone knows how to use wild card properly. SQL Queries 2012 Joes 2 Pros Volume 1 – The SQL Queries 2012 Hands-On Tutorial for Beginners Book On Amazon | Book On Flipkart Learn SQL Server get all the five parts combo kit Kit on Amazon | Kit on Flipkart Many people know wildcards are great for finding patterns in character data. There are also some special sequences with wildcards that can give you even more power. This series from SQL Queries 2012 Joes 2 Pros® Volume 1 will show you some of these cool tricks. All supporting files are available with a free download from the www.Joes2Pros.com web site. This example is from the SQL 2012 series Volume 1 in the file SQLQueries2012Vol1Chapter2.2Setup.sql. If you need help setting up then look in the “Free Videos” section on Joes2Pros under “Getting Started” called “How to install your labs” Querying Pattern Ranges The % wildcard character represents any number of characters of any length. Let’s find all first names that end in the letter ‘A’. By using the percentage ‘%’ sign with the letter ‘A’, we achieve this goal using the code sample below: SELECT * FROM Employee WHERE FirstName LIKE '%A' To find all FirstName values beginning with the letters ‘A’ or ‘B’ we can use two predicates in our WHERE clause, by separating them with the OR statement. Finding names beginning with an ‘A’ or ‘B’ is easy and this works fine until we want a larger range of letters as in the example below for ‘A’ thru ‘K’: SELECT * FROM Employee WHERE FirstName LIKE 'A%' OR FirstName LIKE 'B%' OR FirstName LIKE 'C%' OR FirstName LIKE 'D%' OR FirstName LIKE 'E%' OR FirstName LIKE 'F%' OR FirstName LIKE 'G%' OR FirstName LIKE 'H%' OR FirstName LIKE 'I%' OR FirstName LIKE 'J%' OR FirstName LIKE 'K%' The previous query does find FirstName values beginning with the letters ‘A’ thru ‘K’. However, when a query requires a large range of letters, the LIKE operator has an even better option. Since the first letter of the FirstName field can be ‘A’, ‘B’, ‘C’, ‘D’, ‘E’, ‘F’, ‘G’, ‘H’, ‘I’, ‘J’ or ‘K’, simply list all these choices inside a set of square brackets followed by the ‘%’ wildcard, as in the example below: SELECT * FROM Employee WHERE FirstName LIKE '[ABCDEFGHIJK]%' A more elegant example of this technique recognizes that all these letters are in a continuous range, so we really only need to list the first and last letter of the range inside the square brackets, followed by the ‘%’ wildcard allowing for any number of characters after the first letter in the range. Note: A predicate that uses a range will not work with the ‘=’ operator (equals sign). It will neither raise an error, nor produce a result set. --Bad query (will not error or return any records) SELECT * FROM Employee WHERE FirstName = '[A-K]%' Question: You want to find all first names that start with the letters A-M in your Customer table and end with the letter Z. Which SQL code would you use? a. SELECT * FROM Customer WHERE FirstName LIKE 'm%z' b. SELECT * FROM Customer WHERE FirstName LIKE 'a-m%z' c. SELECT * FROM Customer WHERE FirstName LIKE 'a-m%z' d. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]%z' e. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]z%' f. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]%z' g. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]z%' Contest Leave a valid answer before June 18, 2013 in the comment section. 5 winners will be selected from all the valid answers and will receive Joes 2 Pros Book #1. 1 Lucky person will get a surprise gift from Joes 2 Pros. The contest is open for all the countries where Amazon ships the book (USA, UK, Canada, India and many others). Special Note: Read all the options before you provide valid answer as there is a small trick hidden in answers. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Sorting: TransientVO Vs Query/EO based VO

    - by Vijay Mohan
    In ADF, you can do a sorting on VO rows by invoking setSortBy("VOAttrName") API, but the tricky part is that, this API actually appends a clause to VO query at runtime and the actual sorting is performed after doing VO.executeQuery(), this goes fine for Query/EO based VO. But, how about the transient VO, wherein the rows are populated programmatically..?There is a way to it..:)you can actually specify the query mode on your transient VO, so that the sorting happens on already populated VO rows.Here are the steps to go about it..//Populate your transient VO rows.//VO.setSortBy("YourVOAttrName");//VO.setQueryMode(ViewObject.QUERY_MODE_SCAN_VIEW_ROWS);//VO.executeQuery();So, here the executeQuery() is actually the trigger which calls for VO rows sorting.QUERY_MODE_SCAN_VIEW_ROWS flag makes sure that the sorting is performed on the already populated VO cache.

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