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  • How can I write a MySQL query to check multiple rows?

    - by Matt
    I have a MySQL table containing data on product features: feature_id feature_product_id feature_finder_id feature_text feature_status_yn 1 1 1 Webcam y 2 1 1 Speakers y 3 1 1 Bluray n I want to write a MySQL query that allows me to search for all products that have a 'y' feature_status_yn value for a given feature_product_id and return the feature_product_id. The aim is to use this as a search tool to allow me to filter results to product IDs only matching the requested feature set. A query of SELECT feature_id FROM product_features WHERE feature_finder_id = '1' AND feature_status_yn = 'y' will return all of the features of a given product. But how can I select all products (feature_product_id) that have a 'y' value when they are on separate lines? Multiple queries might be one way to do it, but I'm wondering whether there's a more elegant solution based purely in SQL.

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  • Is there a library / tool to query MySQL data files (MyISAM / InnoDB) without the server? (the SQLit

    - by MGW
    Oftentimes I want to query my MySQL data directly without a server running or without having access to the server (but having read / write rights to the files). Is there a tool or maybe even a library around to query MySQL data files like it is possible with SQLite? I'm specifically looking for InnoDB and MyISAM support. Performance is not a factor. I don't have any knowledge about MySQL internals, but I presume it should be possible to do and not too hard to get the specific code out? Thank you for any suggestions!

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  • How can I update a field in a MySQL database table by addition in MySQL database in a single query

    - by undefined
    I have a table that stores a value that will be added to over time. When I want to add to the value I would like to do so in a single query rather than - Get oldValue from database newValue = oldValue + X update row with newValue $query1 = "SELECT value FROM table WHERE id = thisID"; $result1 = mysql_query($query1); while($row=mysql_fetch_array($result)) { $oldValue = $row['value']; } $newValue = $oldValue + x $query1 = "UPDATE table SET value = $newValue WHERE id = thisID"; Can this be done in a single query?

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  • How to return null value if the query has no corresponding value?

    - by Holicreature
    Hi i've a query select c.name as companyname, u.name,u.email,u.role,a.date from useraccount u, company c, audittrial a where u.status='active' and u.companyid=c.id and (u.companyid=a.companyID and a.activity like 'User activated%' and a.email=u.email) order by u.companyid desc limit 10 So if the following part doesnt't satisfy, (u.companyid=a.companyID and a.activity like 'User activated%' and a.email=u.email) no rows will be returned.. but i want to return the result of the following query select c.name as companyname, u.name,u.email,u.role,a.date from useraccount u, company c, audittrial a where u.status='active' and u.companyid=c.id order by u.companyid desc limit 10 but to add that, i should return the date if available and return null value if date is not available.. how can i do this?

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  • How to create a MySQL query for time based elements with a 'safe window'?

    - by pj4533
    I am no SQL expert, far from it. I am writing a Rails application, and I am new at that as well. I come from a desktop programming background. My application has a table of data, one of the columns is the time at which the data was logged. I want to create a query with a 'safe window' around EACH row. By that I mean, it returns the first row, then for X minutes (based on the timelogged column) it won't return any data, once X minutes is up, it will return the next row. For example: ID | TimeLogged 1 | 3/5/2010 12:01:01 2 | 3/5/2010 12:01:50 3 | 3/5/2010 12:02:03 4 | 3/5/2010 12:10:30 5 | 3/5/2010 01:30:03 6 | 3/5/2010 01:31:05 With a 'safe window' of 5 minutes I want to create a query to return: 1 | 3/5/2010 12:01:01 4 | 3/5/2010 12:10:30 5 | 3/5/2010 01:30:03 (It skipped the 12:01:50 and 12:02:03 items because they occurred within 5 minutes of the first item.) Another example, with a 'safe window' of 15 minutes I want to return: 1 | 3/5/2010 12:01:01 5 | 3/5/2010 01:30:03 Perhaps I have to just return all data and parse it myself?

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  • Write a SQL Query to replace values and include all the Dates.

    - by VJ
    Well I have this - Table DimDate- Date Table Employee- Id,Name,Points,Date Now the Employee table has points for everyday unless they did not come...so the Date does not have all the Dates entries... I mean for e.g in a week he did not come for 2 days the Employee table has only 5 rows...so I have this dimdate table which has all the dates till 2050 which I want to join with and add Zeros for the dates he does not have points. So I have written this query but does not work - Select E.EmployeeId,D.Date,isNull(E.Points,0) from DimDate D left join Employee E on D.Date between '01-01-2009'and '06-01-2009' where E.EmployeeId=1 The above query give multiple dates and I tried group by on Date but does not work.

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  • SQL grouping query question; evaluating a group of rows based on the value of one field.

    - by user324575
    I've got table vendorparts that lists all my parts and their vendor(s). Parts with multiple vendors have multiple records in this table. I'm trying to write a query that only returns the partid, and vendor of parts that do not have a default vendor assigned. Partid Vendor Defaultflag 1 A 1 2 B 0 2 C 0 3 D 0 3 E 0 3 F 1 4 G 0 I would like to return the following: Partid Vendor 2 A 2 B 4 G I'm obviously having issues with partid 3 and getting the query to see it as having a default vendor assigned.

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  • Big Data – Buzz Words: What is MapReduce – Day 7 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce. What is MapReduce? MapReduce was designed by Google as a programming model for processing large data sets with a parallel, distributed algorithm on a cluster. Though, MapReduce was originally Google proprietary technology, it has been quite a generalized term in the recent time. MapReduce comprises a Map() and Reduce() procedures. Procedure Map() performance filtering and sorting operation on data where as procedure Reduce() performs a summary operation of the data. This model is based on modified concepts of the map and reduce functions commonly available in functional programing. The library where procedure Map() and Reduce() belongs is written in many different languages. The most popular free implementation of MapReduce is Apache Hadoop which we will explore tomorrow. Advantages of MapReduce Procedures The MapReduce Framework usually contains distributed servers and it runs various tasks in parallel to each other. There are various components which manages the communications between various nodes of the data and provides the high availability and fault tolerance. Programs written in MapReduce functional styles are automatically parallelized and executed on commodity machines. The MapReduce Framework takes care of the details of partitioning the data and executing the processes on distributed server on run time. During this process if there is any disaster the framework provides high availability and other available modes take care of the responsibility of the failed node. As you can clearly see more this entire MapReduce Frameworks provides much more than just Map() and Reduce() procedures; it provides scalability and fault tolerance as well. A typical implementation of the MapReduce Framework processes many petabytes of data and thousands of the processing machines. How do MapReduce Framework Works? A typical MapReduce Framework contains petabytes of the data and thousands of the nodes. Here is the basic explanation of the MapReduce Procedures which uses this massive commodity of the servers. Map() Procedure There is always a master node in this infrastructure which takes an input. Right after taking input master node divides it into smaller sub-inputs or sub-problems. These sub-problems are distributed to worker nodes. A worker node later processes them and does necessary analysis. Once the worker node completes the process with this sub-problem it returns it back to master node. Reduce() Procedure All the worker nodes return the answer to the sub-problem assigned to them to master node. The master node collects the answer and once again aggregate that in the form of the answer to the original big problem which was assigned master node. The MapReduce Framework does the above Map () and Reduce () procedure in the parallel and independent to each other. All the Map() procedures can run parallel to each other and once each worker node had completed their task they can send it back to master code to compile it with a single answer. This particular procedure can be very effective when it is implemented on a very large amount of data (Big Data). The MapReduce Framework has five different steps: Preparing Map() Input Executing User Provided Map() Code Shuffle Map Output to Reduce Processor Executing User Provided Reduce Code Producing the Final Output Here is the Dataflow of MapReduce Framework: Input Reader Map Function Partition Function Compare Function Reduce Function Output Writer In a future blog post of this 31 day series we will explore various components of MapReduce in Detail. MapReduce in a Single Statement MapReduce is equivalent to SELECT and GROUP BY of a relational database for a very large database. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – HDFS. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • SQL SERVER – 3 Challenges for DBA and Smart Solutions

    - by Pinal Dave
    Developer’s life is never easy. DBA’s life is even crazier. DBA’s Life When a developer wakes up in the morning, most of the time have no idea what different challenges they are going to face that day. Of course, most of the developers know the project and roadmap, which they are working on. However, developers have no clue what coding challenges which they are going face for that day. DBA’s life is even crazier. When DBA wakes up in the morning – they often thank that they were not disturbed during the night due to server issues. The very next thing they wish is that they do not want to challenge which they can’t solve for that day. The problems DBA face every single day are mostly unpredictable and they just have to solve them as they come during the day. Though the life of DBA is not always bad. There are always ways and methods how one can overcome various challenges. Let us see three of the challenges and how a DBA can use various tools to overcome them. Challenge #1 Synchronize Data Across Server A Very common challenge DBA receive is that they have to synchronize the data across the servers. If you try to manually write that up, it may take forever to accomplish the task. It is nearly impossible to do the same with the help of the T-SQL. However, thankfully there are tools like dbForge Studio which can save a day and synchronize data across servers. Read my detailed blog post about the same over here: SQL SERVER – Synchronize Data Exclusively with T-SQL. Challenge #2 SQL Report Builder DBA’s are often asked to build reports on the go. It really annoys DBA’s, but hardly people care about it. No matter how busy a DBA is, they are just called upon to build reports on things on very short notice. I personally like to avoid any task which is given to me accidently and personally building report can be boring. I rather spend time with High Availability, disaster recovery, performance tuning rather than building report. I use SQL third party tool when I have to work with SQL Report. Others have extended reporting capabilities. The latter group of products includes the SQL report builder built-in todbForge Studio for SQL Server. I have blogged about this earlier over here: SQL SERVER – SQL Report Builder in dbForge Studio for SQL Server. Challenge #3 Work with the OTHER Database The manager does not understand that MySQL is different from SQL Server and SQL Server is different from Oracle. For them everything is same. In my career hundreds of times I have faced a situation that I am given a database to manage or do some task when their regular DBA is on vacation or leave. When I try to explain I do not understand the underlying the technology, I have been usually told that my manager has trust on me and I can do anything. Honestly, I can’t but I hardly dare to argue. I fall back on the third party tool to manage database when it is not in my comfort zone. For example, I was once given MySQL performance tuning task (at that time I did not know MySQL so well). To simplify search for a problem query let us use MySQL Profiler in dbForge Studio for MySQL. It provides such commands as a Query Profiling Mode and Generate Execution Plan. Here is the blog post discussing about the same: MySQL – Profiler : A Simple and Convenient Tool for Profiling SQL Queries. Well, that’s it! There were many different such occasions when I have been saved by the tool. May be some other day I will write part 2 of this blog post. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL Tagged: Devart, SQL Tool

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  • SQL SERVER – Puzzle – Statistics are not Updated but are Created Once

    - by pinaldave
    After having excellent response to my quiz – Why SELECT * throws an error but SELECT COUNT(*) does not?I have decided to ask another puzzling question to all of you. I am running this test on SQL Server 2008 R2. Here is the quick scenario about my setup. Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated Note: Auto Update Statistics and Auto Create Statistics for database is TRUE Expected Result – Statistics should be updated – SQL SERVER – When are Statistics Updated – What triggers Statistics to Update Now the question is why the statistics are not updated? The common answer is – we can update the statistics ourselves using UPDATE STATISTICS TableName WITH FULLSCAN, ALL However, the solution I am looking is where statistics should be updated automatically based on algorithm mentioned here. Now the solution is to ____________________. Vinod Kumar is not allowed to take participate over here as he is the one who has helped me to build this puzzle. I will publish the solution on next week. Please leave a comment and if your comment consist valid answer, I will publish with due credit. Here is the script to reproduce the scenario which I mentioned. -- Execution Plans Difference -- Create Sample Database CREATE DATABASE SampleDB GO USE SampleDB GO -- Create Table CREATE TABLE ExecTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Insert One Thousand Records -- INSERT 1 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Display statistics of the table - none listed sp_helpstats N'ExecTable', 'ALL' GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -------------------------------------------------------------- -- Round 2 -- Insert Ten Thousand Records -- INSERT 2 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 10000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -- You will notice that Statistics are still updated with 1000 rows -- Clean up Database DROP TABLE ExecTable GO USE MASTER GO ALTER DATABASE SampleDB SET SINGLE_USER WITH ROLLBACK IMMEDIATE; GO DROP DATABASE SampleDB GO Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics, Statistics

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  • SQL SERVER – Guest Post – Glenn Berry – Wait Type – Day 26 of 28

    - by pinaldave
    Glenn Berry works as a Database Architect at NewsGator Technologies in Denver, CO. He is a SQL Server MVP, and has a whole collection of Microsoft certifications, including MCITP, MCDBA, MCSE, MCSD, MCAD, and MCTS. He is also an Adjunct Faculty member at University College – University of Denver, where he has been teaching since 2000. He is one wonderful blogger and often blogs at here. I am big fan of the Dynamic Management Views (DMV) scripts of Glenn. His script are extremely popular and the reality is that he has inspired me to start this series with his famous DMV which I have mentioned in very first  wait stats blog post (I had forgot to request his permission to re-use the script but when asked later on his whole hearty approved it). Here is is his excellent blog post on this subject of wait stats: Analyzing cumulative wait stats in SQL Server 2005 and above has become a popular and effective technique for diagnosing performance issues and further focusing your troubleshooting and diagnostic  efforts.  Rather than just guessing about what resource(s) that SQL Server is waiting on, you can actually find out by running a relatively simple DMV query. Once you know what resources that SQL Server is spending the most time waiting on, you can run more specific queries that focus on that resource to get a better idea what is causing the problem. I do want to throw out a few caveats about using wait stats as a diagnostic tool. First, they are most useful when your SQL Server instance is experiencing performance problems. If your instance is running well, with no indication of any resource pressure from other sources, then you should not worry that much about what the top wait types are. SQL Server will always be waiting on some resource, but many wait types are quite benign, and can be safely ignored. In spite of this, I quite often see experienced DBAs obsessing over the top wait type, even when their SQL Server instance is running extremely well. Second, I often see DBAs jump to the wrong conclusion based on seeing a particular well-known wait type. A good example is CXPACKET waits. People typically jump to the conclusion that high CXPACKET waits means that they should immediately change their instance-level MADOP setting to 1. This is not always the best solution. You need to consider your workload type, and look carefully for any important “missing” indexes that might be causing the query optimizer to use a parallel plan to compensate for the missing index. In this case, correcting the index problem is usually a better solution than changing MAXDOP, since you are curing the disease rather than just treating the symptom. Finally, you should get in the habit of clearing out your cumulative wait stats with the  DBCC SQLPERF(‘sys.dm_os_wait_stats’, CLEAR); command. This is especially important if you have made an configuration or index changes, or if your workload has changed recently. Otherwise, your cumulative wait stats will be polluted with the old stats from weeks or months ago (since the last time SQL Server was started or the stats were cleared).  If you make a change to your SQL Server instance, or add an index, you should clear out your wait stats, and then wait a while to see what your new top wait stats are. At any rate, enjoy Pinal Dave’s series on Wait Stats. This blog post has been written by Glenn Berry (Twitter | Blog) Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQLAuthority News – Follow up on – Replace a Column Name in Multiple Stored Procedure all together

    - by pinaldave
    Last month I had a fantastic time with lots of puzzles and brain teasers, the amount of participation which I have received on the blog is indeed inspiring to write more. One of the blog post was about how to replace a column name in all the stored procedures. The article had very interesting conversation as a follow up. Please read the original article Replace a Column Name in Multiple Stored Procedure all together before reading this blog further as they are connected. Let us start few of the interesting comments. SQL Server Expert Imran Mohammed had a wonderful first and excellent note. I suggest all of you to read it. Imran stresses on the Data Modelling and Logical as well as Physical Design. Developers must create a logical design and get approval on naming convention, data types, references, constraints, indexes etc. He further suggested that one should not cut steps but must follow all the industry standards and guidelines. Here extended my blog post with following note – “Extending Pinal’s answer, what you can do is go to database properties, all tasks, scripts objects, in scripting wizard select all the stored procedure for which you want to change column name, export the query to a new window and then do find and replace, all in once window and execute the script. But make sure you check what you are replacing, sometimes column names are also used in table names, for ex:Table Name: Product and Column Name: ProductId, ProductName”. Thanks Imran Great Points!  Gatej Alexandru suggested that it is not good idea to DROP or CREATE but rather use ALTER as quite possible there may be permissions issue as well. Very good point let me see if I can write blog post over it. Vinay Kumar and SQLStudent144 have proposed another method to achieve the same. I am combining their solution and writing them here. Step 1. Press Ctrl+T or change “Result to Text” mode. Step 2. Execute below commands.SELECT 'EXEC sp_helptext [' + referencing_schema_name + '.' + referencing_entity_name + ']' FROM sys.dm_sql_referencing_entities('schema.objectname','OBJECT') Where schema.objectname is the object or table you are searching for. Step 3. Now copy the result and paste in new window. Again Press Ctrl+T or change “Result to Text” mode. Step 4. Copy the result and paste in new window. Execute the query. Step 5. Copy the result and paste in new window. Step 6. Now find your searching text in the script, make necessary changes and execute this script. Do not forget to remove the code which is generated in resultset which are not relevant to the T-SQL Script. Digitqr suggest we can do this for other objects besides Stored Procedure as well. Iosif suggests to use tool SQL Search from RedGate. I guess this sums it well. We have an alternative perspective to our original issue of replacing the column name in multiple stored procedure. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Speed Up! – Parallel Processes and Unparalleled Performance – TechEd 2012 India

    - by pinaldave
    TechEd India 2012 is just around the corner and I will be presenting there on two different session. SQL Server Performance Tuning is a very challenging subject that requires expertise in Database Administration and Database Development. I always have enjoyed talking about SQL Server Performance tuning subject. Just like doctors I like to call my every attempt to improve the performance of SQL Server queries and database server as a practice too. I have been working with SQL Server for more than 8 years and I believe that many of the performance tuning concept I have mastered. However, performance tuning is not a simple subject. However there are occasions when I feel stumped, there are occasional when I am not sure what should be the next step. When I face situation where I cannot figure things out easily, it makes me most happy because I clearly see this as a learning opportunity. I have been presenting in TechEd India for last three years. This is my fourth time opportunity to present a technical session on SQL Server. Just like every other year, I decided to present something different, something which I have spend years of learning. This time, I am going to present about parallel processes. It is widely believed that more the CPU will improve performance of the server. It is true in many cases. However, there are cases when limiting the CPU usages have improved overall health of the server. I will be presenting on the subject of Parallel Processes and its effects. I have spent more than a year working on this subject only. After working on various queries on multi-CPU systems I have personally learned few things. In coming TechEd session, I am going to share my experience with parallel processes and performance tuning. Session Details Title: Speed Up! – Parallel Processes and Unparalleled Performance (Add to Calendar) Abstract: “More CPU More Performance” – A  very common understanding is that usage of multiple CPUs can improve the performance of the query. To get maximum performance out of any query – one has to master various aspects of the parallel processes. In this deep dive session, we will explore this complex subject with a very simple interactive demo. An attendee will walk away with proper understanding of CX_PACKET wait types, MAXDOP, parallelism threshold and various other concepts. Date and Time: March 23, 2012, 12:15 to 13:15 Location: Hotel Lalit Ashok - Kumara Krupa High Grounds, Bengaluru – 560001, Karnataka, India. Add to Calendar Please submit your questions in the comments area and I will be for sure discussing them during my session. If I pick your question to discuss during my session, here is your gift I commit right now – SQL Server Interview Questions and Answers Book. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology Tagged: TechEd, TechEdIn

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  • T-SQL Tuesday #005 : SSRS Parameters and MDX Data Sets

    - by blakmk
    Well it this weeks  T-SQL Tuesday #005  topic seems quite fitting. Having spent the past few weeks creating reports and dashboards in SSRS and SSAS 2008, I was frustrated by how difficult it is to use custom datasets to generate parameter drill downs. It also seems Reporting Services can be quite unforgiving when it comes to renaming things like datasets, so I want to share a couple of techniques that I found useful. One of the things I regularly do is to add parameters to the querys. However doing this causes Reporting Services to generate a hidden dataset and parameter name for you. One of the things I like to do is tweak these hidden datasets removing the ‘ALL’ level which is a tip I picked up from Devin Knight in his blog: There are some rules i’ve developed for myself since working with SSRS and MDX, they may not be the best or only way but they work for me. Rule 1 – Never trust the automatically generated hidden datasets Or even ANY, automatically generated MDX queries for that matter.... I’ve previously blogged about this here.   If you examine the MDX generated in the hidden dataset you will see that it generates the MDX in the context of the originiating query by building a subcube, this mean it may NOT be appropriate to use this in a subsequent query which has a different context. Make sure you always understand what is going on. Often when i’m developing a dashboard or a report there are several parameter oriented datasets that I like to manually create. It can be that I have different datasets using the same dimension but in a different context. One example of this, is that I often use a dataset for last month and a dataset for the last 6 months. Both use the same date hierarchy. However Reporting Services seems not to be too smart when it comes to generating unique datasets when working with and renaming parameters and datasets. Very often I have come across this error when it comes to refactoring parameter names and default datasets. "an item with the same key has already been added" The only way I’ve found to reliably avoid this is to obey to rule 2. Rule 2 – Follow this sequence when it comes to working with Parameters and DataSets: 1.    Create Lookup and Default Datasets in advance 2.    Create parameters (set the datasets for available and default values) 3.    Go into query and tick parameter check box 4.    On dataset properties screen, select the parameter defined earlier from the parameter value defined earlier. Rule 3 – Dont tear your hair out when you have just renamed objects and your report doesn’t build Just use XML notepad on the original report file. I found I gained a good understanding of the structure of the underlying XML document just by using XML notepad. From this you can do a search and find references of the missing object. You can also just do a wholesale search and replace (after taking a backup copy of course ;-) So I hope the above help to save the sanity of anyone who regularly works with SSRS and MDX.   @Blakmk

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  • SQL SERVER – #TechEdIn – Presenting Tomorrow on Speed Up! – Parallel Processes and Unparalleled Performance at TechEd India 2012

    - by pinaldave
    Performance tuning is always a very hot topic when it is about SQL Server. SQL Server Performance Tuning is a very challenging subject that requires expertise in Database Administration and Database Development. I always have enjoyed talking about SQL Server Performance tuning subject. However, in India, it’s actually the very first time someone is presenting on this interesting subject, so this time I had the biggest challenge to present this session. Frequently enough, we get these two kind of questions: How to turn off parallelism as it is reducing performance? How to turn on parallelism as I want more performance? The reality is that not everyone knows what exactly is needed by their system. In this session, I have attempted to answer this very question. I’ve decided to provide a balanced view but stay away from theory, which leads us to say “It depends”. The session will have a clear message about this towards its end. Deck Details Slides: 45+ Demos: 7+ Bonus Quiz: 5 Images: 10+ Session delivery time: 52 Mins + 8 Mins of Q & A I have presented this session a couple of times to my friends and so far have received good feedback. Oftentimes, when people hear that I am going to present 45 slides, they all say it is too much to cover. However, when I am done with the session the usual reaction is that I truly gave justice to those slides. Action Item Here are a few of the action items for all of those who are going to attend this session: If you want to attend the session, just come early. There’s a good chance that you may not get a seat because right before me, there is a session from SQL Guru Vinod Kumar. He performs a powerful delivery of million concepts in just a little time. Quiz. I will be asking few questions during the session as well as before the session starts. If you get the correct answer, I will give unique learning material for you. You may not want to miss this learning opportunity at any cosst. Session Details Title: Speed Up! – Parallel Processes and Unparalleled Performance (Add to Calendar) Abstract: “More CPU, More Performance” – A  very common understanding is that usage of multiple CPUs can improve the performance of the query. To get a maximum performance out of any query, one has to master various aspects of the parallel processes. In this deep-dive session, we will explore this complex subject with a very simple interactive demo. Attendees will walk away with proper understanding of CX_PACKET wait types, MAXDOP, parallelism threshold and various other concepts. Date and Time: March 23, 2012, 12:15 to 13:15 Location: Hotel Lalit Ashok - Kumara Krupa High Grounds, Bengaluru – 560001, Karnataka, India. Add to Calendar Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Interview Questions and Answers, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • SQL SERVER – Monitoring SQL Server Database Transaction Log Space Growth – DBCC SQLPERF(logspace) – Puzzle for You

    - by pinaldave
    First of all – if you are going to say this is very old subject, I agree this is very (very) old subject. I believe in earlier time we used to have this only option to monitor Log Space. As new version of SQL Server released we all equipped with DMV, Performance Counters, Extended Events and much more new enhancements. However, during all this year, I have always used DBCC SQLPERF(logspace) to get the details of the logs. It may be because when I started my career I remember this command and it did what I wanted all the time. Recently I have received interesting question and I thought, I should request your help. However, before I request your help, let us see traditional usage of DBCC SQLPERF(logspace). Every time I have to get the details of the log I ran following script. Additionally, I liked to store the details of the when the log file snapshot was taken as well so I can go back and know the status log file growth. This gives me a fair estimation when the log file was growing. CREATE TABLE dbo.logSpaceUsage ( id INT IDENTITY (1,1), logDate DATETIME DEFAULT GETDATE(), databaseName SYSNAME, logSize DECIMAL(18,5), logSpaceUsed DECIMAL(18,5), [status] INT ) GO INSERT INTO dbo.logSpaceUsage (databaseName, logSize, logSpaceUsed, [status]) EXEC ('DBCC SQLPERF(logspace)') GO SELECT * FROM dbo.logSpaceUsage GO I used to record the details of log file growth every hour of the day and then we used to plot charts using reporting services (and excel in much earlier times). Well, if you look at the script above it is very simple script. Now here is the puzzle for you. Puzzle 1: Write a script based on a table which gives you the time period when there was highest growth based on the data stored in the table. Puzzle 2: Write a script based on a table which gives you the amount of the log file growth from the beginning of the table to the latest recording of the data. You may have to run above script at some interval to get the various data samples of the log file to answer above puzzles. To make things simple, I am giving you sample script with expected answers listed below for both of the puzzle. Here is the sample query for puzzle: -- This is sample query for puzzle CREATE TABLE dbo.logSpaceUsage ( id INT IDENTITY (1,1), logDate DATETIME DEFAULT GETDATE(), databaseName SYSNAME, logSize DECIMAL(18,5), logSpaceUsed DECIMAL(18,5), [status] INT ) GO INSERT INTO dbo.logSpaceUsage (databaseName, logDate, logSize, logSpaceUsed, [status]) SELECT 'SampleDB1', '2012-07-01 7:00:00.000', 5, 10, 0 UNION ALL SELECT 'SampleDB1', '2012-07-01 9:00:00.000', 16, 10, 0 UNION ALL SELECT 'SampleDB1', '2012-07-01 11:00:00.000', 9, 10, 0 UNION ALL SELECT 'SampleDB1', '2012-07-01 14:00:00.000', 18, 10, 0 UNION ALL SELECT 'SampleDB3', '2012-06-01 7:00:00.000', 5, 10, 0 UNION ALL SELECT 'SampleDB3', '2012-06-04 7:00:00.000', 15, 10, 0 UNION ALL SELECT 'SampleDB3', '2012-06-09 7:00:00.000', 25, 10, 0 GO Expected Result of Puzzle 1 You will notice that there are two entries for database SampleDB3 as there were two instances of the log file grows with the same value. Expected Result of Puzzle 2 Well, please a comment with valid answer and I will post valid answers with due credit next week. Not to mention that winners will get a surprise gift from me. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: DBCC

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  • Phantomjs creating black output from SVG using page.render

    - by Neil Young
    I have been running PhantomJS 1.9.6 happily on a turnkey Linux server for about 4 months now. Its purpose is to take an SVG file and create different sizes using the page.render function. This has been doing this but since a few days ago has started to generate a black mono output. Please see below: The code: var page = require('webpage').create(), system = require('system'), address, output, ext, width, height; if ( system.args.length !== 4 ) { console.log("{ \"result\": false, \"message\": \"phantomjs.rasterize: error need address, output, extension arguments\" }"); //console.log('phantomjs.rasterize: error need address, output, extension arguments'); phantom.exit(1); } else if( system.args[3] !== "jpg" && system.args[3] !== "png"){ console.log("{ \"result\": false, \"message\": \"phantomjs.rasterize: error \"jpg\" or \"png\" only please\" }"); //console.log('phantomjs.rasterize: error "jpg" or "png" only please'); phantom.exit(1); } else { address = system.args[1]; output = system.args[2]; ext = system.args[3]; width = 1044; height = 738; page.viewportSize = { width: width, height: height }; //postcard size page.open(address, function (status) { if (status !== 'success') { console.log("{ \"result\": false, \"message\": \"phantomjs.rasterize: error loading address ["+address+"]\" }"); //console.log('phantomjs.rasterize: error loading address ['+address+'] '); phantom.exit(); } else { window.setTimeout(function () { //--> redner full size postcard page.render( output + "." + ext ); //--> redner smaller postcard page.zoomFactor = 0.5; page.clipRect = {top:0, left:0, width:width*0.5, height:height*0.5}; page.render( output + ".50." + ext); //--> redner postcard thumb page.zoomFactor = 0.25; page.clipRect = {top:0, left:0, width:width*0.25, height:height*0.25}; page.render( output + ".25." + ext); //--> exit console.log("{ \"result\": true, \"message\": \"phantomjs.rasterize: success ["+address+"]>>["+output+"."+ext+"]\" }"); //console.log('phantomjs.rasterize: success ['+address+']>>['+output+'.'+ext+']'); phantom.exit(); }, 100); } }); } Does anyone know what can be causing this? There have been no server configuration changes that I know of. Many thanks for your help.

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  • SQLAuthority News – Feature Pack for Microsoft SQL Server 2005 SP4

    - by pinaldave
    If you are still using SQL Server 2005 – I suggest that you consider migrating to later version of the SQL Server 2008/2008 R2. Due to any reason, you wanted to continue using SQL Server 2005, I suggest that you take a look at the Feature Pack for Microsoft SQL Server 2005 SP4. There are many different tools and features available in pack, which can be very handy and can solve issues. Microsoft ADOMD.NET Microsoft Core XML Services (MSXML) 6.0 Microsoft OLEDB Provider for DB2 Microsoft SQL Server Management Pack for MOM 2005 Microsoft SQL Server 2000 PivotTable Services Microsoft SQL Server 2000 DTS Designer Components Microsoft SQL Server Native Client Microsoft SQL Server 2005 Analysis Services 9.0 OLE DB Provider Microsoft SQL Server 2005 Backward Compatibility Components Microsoft SQL Server 2005 Command Line Query Utility Microsoft SQL Server 2005 Datamining Viewer Controls Microsoft SQL Server 2005 JDBC Driver Microsoft SQL Server 2005 Management Objects Collection Microsoft SQL Server 2005 Compact Edition Microsoft SQL Server 2005 Notification Services Client Components Microsoft SQL Server 2005 Upgrade Advisor Microsoft .NET Data Provider for mySAP Business Suite, Preview Version Reporting Add-In for Microsoft Visual Web Developer 2005 Express Microsoft Exception Message Box Data Mining Managed Plug-in Algorithm API for SQL Server 2005 Microsoft SQL Server 2005 Reporting Services Add-in for Microsoft SharePoint Technologies Microsoft SQL Server 2005 Data Mining Add-ins for Microsoft Office 2007 SQL Server 2005 Performance Dashboard Reports SQL Server 2005 Best Practices Analyzer Download Feature Pack for Microsoft SQL Server 2005 SP4 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Service Pack, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • SQL SERVER – Find Max Worker Count using DMV – 32 Bit and 64 Bit

    - by pinaldave
    During several recent training courses, I found it very interesting that Worker Thread is not quite known to everyone despite the fact that it is a very important feature. At some point in the discussion, one of the attendees mentioned that we can double the Worker Thread if we double the CPU (add the same number of CPU that we have on current system). The same discussion has triggered this quick article. Here is the DMV which can be used to find out Max Worker Count SELECT max_workers_count FROM sys.dm_os_sys_info Let us run the above query on my system and find the results. As my system is 32 bit and I have two CPU, the Max Worker Count is displayed as 512. To address the previous discussion, adding more CPU does not necessarily double the Worker Count. In fact, the logic behind this simple principle is as follows: For x86 (32-bit) upto 4 logical processors  max worker threads = 256 For x86 (32-bit) more than 4 logical processors  max worker threads = 256 + ((# Procs – 4) * 8) For x64 (64-bit) upto 4 logical processors  max worker threads = 512 For x64 (64-bit) more than 4 logical processors  max worker threads = 512+ ((# Procs – 4) * 8) In addition to this, you can configure the Max Worker Thread by using SSMS. Go to Server Node >> Right Click and Select Property >> Select Process and modify setting under Worker Threads. According to Book On Line, the default Worker Thread settings are appropriate for most of the systems. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology Tagged: SQL DMV

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  • SQL SERVER – Tricks to Comment T-SQL in SSMS – SQL in Sixty Seconds #019 – Video

    - by pinaldave
    Code commeting is the one of the most common tasks developers perform. There are two major reasons why developer comment code. 1) During Debug 2) Documenting the code. While debugging the T-SQL code I have often seen developers struggling to comment code.  They spend (or waste) more time in commenting and uncommenting  than doing actual debugging of the procedure.  When I see developer struggling to comment the code I feel little uncomfortable as commenting should be a very easy task over. Today we will see three quick method to comment T-SQL code in Query Editor. There are three different method to comment and uncomment statements in SQL Server Management Studio Using Keyboard Shortcuts Using Tool Bar Using Menu Bar Method 1: Using Keyboard Shortcuts Commenting the statement – CTRL+K, CTRL+C Commenting the statement – CTRL+K, CTRL+U Method 2: Using Tool Bar Using Tool bar buttons. (See Video) Method 3: Using Menu Bar Commenting the statement – Menu Bar >> Edit >> Advanced >> Click on Comment Selection. Unommenting the statement – Menu Bar >> Edit >> Advanced >> Click on Uncomment Selection. More on Importing CSV Data: Two Different Ways to Comment Code – Explanation and Example I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. 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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