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  • An XEvent a Day (12 of 31) – Using the Extended Events SSMS Addin

    - by Jonathan Kehayias
    The lack of SSMS support for Extended Events, coupled with the fact that a number of the existing Events in SQL Trace were not implemented in SQL Server 2008, has no doubt been a key factor in its slow adoption rate. Since the release of SQL Server Denali CTP1, I have already seen a number of blog posts that talk about the introduction of Extended Events in SQL Server, because there is now a stub for it inside of SSMS. Don’t get excited yet, the functionality in CTP1 is very limited at this point,...(read more)

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  • An XEvent a Day (4 of 31) – Querying the Session Definition and Active Session DMV’s

    - by Jonathan Kehayias
    Yesterdays post, Managing Event Sessions , showed how to manage Event Sessions in Extended Events Sessions inside the Extended Events framework in SQL Server. In today's post, we’ll take a look at how to find information about the defined Event Sessions that already exist inside a SQL Server using the Session Definition DMV’s and how to find information about the Active Event Sessions that exist using the Active Session DMV’s. Session Definition DMV’s The Session Definition DMV’s provide information...(read more)

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  • An XEvent a Day (6 of 31) – Targets Week – asynchronous_file_target

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week - ring_buffer , looked at the ring_buffer Target in Extended Events and how it outputs the raw Event data in an XML document.  Today I’m going to go over the details of the other Target in Extended Events that captures raw Event data, the asynchronous_file_target. What is the asynchronous_file_target? The asynchronous_file_target holds the raw format Event data in a proprietary binary file format that persists beyond server restarts and can be provided to another...(read more)

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  • An XEvent a Day (1 of 31) – An Overview of Extended Events

    - by Jonathan Kehayias
    First introduced in SQL Server 2008, Extended Events provided a new mechanism for capturing information about events inside the Database Engine that was both highly performant and highly configurable. Designed from the ground up with performance as a primary focus, Extended Events may seem a bit odd at first look, especially when you compare it to SQL Trace. However, as you begin to work with Extended Events, you will most likely change how you think about tracing problems, and will find the power...(read more)

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  • An XEvent a Day (8 of 31) – Targets Week – synchronous_event_counter

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week - Bucketizers , looked at the bucketizer Targets in Extended Events and how they can be used to simplify analysis and perform more targeted analysis based on their output.  Today’s post will be fairly short, by comparison to the previous posts, while we look at the synchronous_event_counter target, which can be used to test the impact of an Event Session without actually incurring the cost of Event collection. What is the synchronous_event_counter? The synchronous_event_count...(read more)

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  • An XEvent a Day (7 of 31) – Targets Week – bucketizers

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week - asynchronous_file_target , looked at the asynchronous_file_target Target in Extended Events and how it outputs the raw Event data in an XML document. Continuing with Targets week today, we’ll look at the bucketizer targets in Extended Events which can be used to group Events based on the Event data that is being returned. What is the bucketizer? The bucketizer performs grouping of Events as they are processed by the target into buckets based on the Event data and...(read more)

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  • An XEvent a Day (9 of 31) – Targets Week – pair_matching

    - by Jonathan Kehayias
    Yesterday’s post, Targets Week – synchronous_event_counter , looked at the counter Target in Extended Events and how it could be used to determine the number of Events a Event Session will generate without actually incurring the cost to collect and store the Events.  Today’s post is coming late, I know, but sometimes that’s just how the ball rolls.  My original planned demo’s for today’s post turned out to only work based on a fluke, though they were very consistent at working as expected,...(read more)

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  • July, the 31 Days of SQL Server DMO’s – Day 22 (sys.dm_db_index_physical_stats)

    - by Tamarick Hill
    The sys.dm_db_index_physical_stats Dynamic Management Function is used to return information about the fragmentation levels, page counts, depth, number of levels, record counts, etc. about the indexes on your database instance. One row is returned for each level in a given index, which we will discuss more later. The function takes a total of 5 input parameters which are (1) database_id, (2) object_id, (3) index_id, (4) partition_number, and (5) the mode of the scan level that you would like to run. Let’s use this function with our AdventureWorks2012 database to better illustrate the information it provides. SELECT * FROM sys.dm_db_index_physical_stats(db_id('AdventureWorks2012'), NULL, NULL, NULL, NULL) As you can see from the result set, there is a lot of beneficial information returned from this DMF. The first couple of columns in the result set (database_id, object_id, index_id, partition_number, index_type_desc, alloc_unit_type_desc) are either self-explanatory or have been explained in our previous blog sessions so I will not go into detail about these at this time. The next column in the result set is the index_depth which represents how deep the index goes. For example, If we have a large index that contains 1 root page, 3 intermediate levels, and 1 leaf level, our index depth would be 5. The next column is the index_level which refers to what level (of the depth) a particular row is referring to. Next is probably one of the most beneficial columns in this result set, which is the avg_fragmentation_in_percent. This column shows you how fragmented a particular level of an index may be. Many people use this column within their index maintenance jobs to dynamically determine whether they should do REORG’s or full REBUILD’s of a given index. The fragment count represents the number of fragments in a leaf level while the avg_fragment_size_in_pages represents the number of pages in a fragment. The page_count column tells you how many pages are in a particular index level. From my result set above, you see the the remaining columns all have NULL values. This is because I did not specify a ‘mode’ in my query and as a result it used the ‘LIMITED’ mode by default. The LIMITED mode is meant to be lightweight so it does collect information for every column in the result set. I will re-run my query again using the ‘DETAILED’ mode and you will see we now have results for these rows. SELECT * FROM sys.dm_db_index_physical_stats(db_id('AdventureWorks2012'), NULL, NULL, NULL, ‘DETAILED’)   From the remaining columns, you see we get even more detailed information such as how many records are in a particular index level (record_count). We have a column for ghost_record_count which represents the number of records that have been marked for deletion, but have not physically been removed by the background ghost cleanup process. We later see information on the MIN, MAX, and AVG record size in bytes. The forwarded_record_count column refers to records that have been updated and now no longer fit within the row on the page anymore and thus have to be moved. A forwarded record is left in the original location with a pointer to the new location. The last column in the result set is the compressed_page_count column which tells you how many pages in your index have been compressed. This is a very powerful DMF that returns good information about the current indexes in your system. However, based on the mode you select, it could be a very resource intensive function so be careful with how you use it. For more information on this Dynamic Management Function, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms188917.aspx Follow me on Twitter @PrimeTimeDBA

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  • An XEvent a Day (20 of 31) – Mapping Extended Events to SQL Trace

    - by Jonathan Kehayias
    One of the biggest problems that I had with getting into Extended Events was mapping the Events available in Extended Events to the Events that I knew from SQL Trace. With so many Events to choose from in Extended Events, and a different organization of the Events, it is really easy to get lost when trying to find things. Add to this the fact that Event names don’t match up to Trace Event names in SQL Server 2008 and 2008 R2, and not all of the Events from Trace are implemented in SQL Server 2008...(read more)

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

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

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  • T-SQL Tuesday #31: Paradox of the Sawtooth Log

    - by merrillaldrich
    Today’s T-SQL Tuesday, hosted by Aaron Nelson ( @sqlvariant | sqlvariant.com ) has the theme Logging . I was a little pressed for time today to pull this post together, so this will be short and sweet. For a long time, I wondered why and how a database in Full Recovery Mode, which you’d expect to have an ever-growing log -- as all changes are written to the log file -- could in fact have a log usage pattern that looks like this: This graph shows the Percent Log Used (bold, red) and the Log File(s)...(read more)

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  • July, the 31 Days of SQL Server DMO’s – Day 1 (sys.dm_exec_requests)

    - by Tamarick Hill
    The first DMO that I would like to introduce you to is one of the most common and basic DMV’s out there. I use the term DMV because this DMO is actually a view as opposed to a function. This DMV is server-scoped and it returns information about all requests that are currently executing on your SQL Server instance. To illustrate what this DMV returns, lets take a look at the results. As you can see, this DMV returns a wealth of information about requests occurring on your server. You are able to see the SPID, the start time of a request, current status, and the command the SPID is executing. In addition to this you see columns for sql_handle and plan_handle. These columns (when combined with other DMO’s we will discuss later) can return the actual sql text that is being executed on your server as well as the actual execution plan that is cached and being used. This DMV also returns information about various wait types that may be occurring for your spid. The percent_complete column displays a percentage to completion for certain database actions such as DBCC CheckDB, Database Restores, Rollback’s, etc. In addition to these, you are also able to see the amount of reads, writes, and cpu that the SPID has consumed. You will find this DMV to be one of the primary DMV’s that you use when looking for information about what is occurring on your server.

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  • July, the 31 Days of SQL Server DMO’s – Day 20 (sys.dm_tran_locks)

    - by Tamarick Hill
    The sys.dm_tran_locks DMV is used to return active lock resources on your server. Locking is a mechanism used by SQL Server to protect the integrity of data when you have multiple users that may potentially access the same data at the same time. Let’s run a query against this DMV so we can analyze the results. SELECT * FROM sys.dm_tran_locks As we can see, its a lot of lock information returned from this DMV. I will not go into detail about each of the columns returned, but I will touch on the ones that I feel are the most important. The first column in the output is the resource_type column which tells you the type of lock a particular row represents. It could be a PAGE lock, RID, OBJECT, DATABASE, or several other lock types. The resource_database_id represents the id of the database for a particular lock resource. The resource_lock_partition column represents the ID of a lock partition. When you have a table that is partitioned, locks can be escalated to the partition level before going to a table level lock. The request_mode column gives us information about the type of lock that is being requested. From the screenshots above we see RangeS-S locks which represent a share range lock and IS locks which represent Intent Shared locks. The request_status column displays whether the lock has been granted or whether the lock is waiting to be acquired. The request_session_id  shows the session_id that is requesting the lock. This DMV is the best place to go when you need to identify the exact locks that are being held or pending for individual requests. You might need this information when you are troubleshooting severe blocking or deadlocking problems on your server. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms190345.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 19 (sys.dm_exec_query_stats)

    - by Tamarick Hill
    The sys.dm_exec_query_stats DMV is one of the most useful DMV’s out there when it comes to performance tuning. If you have been keeping up with this blog series this month, you know that I started out on Day 1 reviewing many of the DMV’s within the ‘exec’ namespace. I’m not sure how I missed this one considering how valuable it is, but hey, they say it’s better late than never right?? On Day 7 and Day 8 we reviewed the sys.dm_exec_procedure_stats and sys.dm_exec_trigger_stats respectively. This sys.dm_exec_query_stats DMV is very similar to these two. As a matter of fact, this DMV will return all of the information you saw in the other two DMV’s, but in addition to that, you can see stats for all queries that have cached execution plans on your server. You can even see stats for statements that are ran Ad-Hoc as long as they are still cached in the buffer pool. To better illustrate this DMV, let have a quick look at it: SELECT * FROM sys.dm_exec_query_stats As you can see, there is a lot of information returned from this DMV. I wont go into detail about each and every one of these columns, but I will touch on a few of them briefly. The first column is the ‘sql_handle’, which if you remember from Day 4 of our blog series, I explained how you can use this column to extract the actual SQL text that was executed. The next columns statement_start_offset and statement_end_offset provide you a way of extracting the exact SQL statement that was executed as part of a batch. The plan_handle column is used to extract the Execution plan that was used, which we talked about during Day 5 of this blog series. Later in the result set, you have columns to identify how many times a particular statement was executed, how much CPU time it used, how many reads/writes it performed, the duration, how many rows were returned, etc. These columns provide you with a solid avenue to begin your performance optimization. The last column I will touch on is the query_plan_hash column. A lot of times when you have Dynamic SQL running on your server, you have similar statements with different parameter values being passed in. Many times these types of statements will get similar execution plans and then a Binary hash value can be generated based on these similar plans. This query plan hash can be used to find the cost of all queries that have similar execution plans and then you can tune based on that plan to improve the performance of all of the individual queries. This is a very powerful way of identifying and tuning Ad-hoc statements that run on your server. As I stated earlier, this sys.dm_exec_query_stats DMV is a very powerful and recommended DMV for performance tuning. You are able to quickly identify statements that are running on your server and analyze their impact on system resources. Using this DMV to track down the biggest performance killers on your server will allow you to make the biggest gains once you focus your tuning efforts on those top offenders. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms189741.aspx Follow me on Twitter @PrimeTimeDBA

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  • Silverlight Cream for March 31, 2010 -- #826

    - by Dave Campbell
    In this Issue: Andrea Boschin, Radenko Zec, Andrej Tozon, Bobby Diaz, Brad Abrams, Wolf Schmidt, Colin Eberhardt, Anand Iyer, Matthias Shapiro, Jaime Rodriguez, Bill Reiss, and Lee. Shoutouts: Cigdem has a post up about here MIX10 Interviewing experiences: MIX10 SilverlightShow Interviews Ian T. Lackey has his material up from his talk Silverlight SEO at the St. Louis .Net Users Group Not Silverlight but definitely WP7 cool, Michael Klucher reports that there are New Windows Phone Samples on Creators Club Online Tim Heuer posted a survey: What tools are the minimum to get started in Silverlight? From SilverlightCream.com: A RoleManager to apply roles declaratively to user interface Andrea Boschin also has a new post at SilverlightShow discussing the use of a RoleManager in WCF RIA Services to apply user roles to elements of the UI... good stuff, Andrea. Virtualization in Silverlight 4 RC Radenko Zec has a post out at SilverlightShow where he explains UI and Data Virtualization then gives some examples of their use in Silverlight 4RC, and some issues as well. MS Word Mail Merge with Silverlight 4 COM Automation Andrej Tozon has a post up at SilverlightShow that I missed in the rush of MIX10. He's doing MailMerge with COM automation and Silverlight 4... actually prett cool stuff and all the source! KISS and Tell - MVVM and the ViewModelLocator Bobby Diaz is blogging about a very popular subject right now: ViewModelLocator. He's not showing production code, but it's a thought... check it out. Silverlight 4 + RIA Services - Ready for Business: Validating Data I'm running behind, but Brad Abrams' next post in his series is about validating data in the business application. He also discusses setting up shared code validation. A One-stop Shopping XAML Namespace for Silverlight Client SDK Controls Wolf Schmidt at the Silverlight SDK has a post up highlighting the SL4 XAML namespace prefix. He starts with SL3 then demonstrates the feature's use in SL4. Binding a Silverlight 3 DataGrid to dynamic data via IDictionary (Updated) Colin Eberhardt has an update to his previous article of the same title. This one is a bug fix on an upgrade to SL3 and also an expansion of the previous post. Demo Apps from MIX10 on Windows Phone 7 Anand Iyer posted links to all the WP7 demos used at MIX10 and at least in the case of FourSquare, the source is on CodePlex. XAML Files for Location Visualizations in Silverlight and WPF Matthias Shapiro has graciously provided XAML for us for Silverlight and WPF for a bunch of different US maps... too cool, now we don't have to be asking 'where did you get that map?'... thanks Matthias! Theming in Windows Phone Jaime Rodriguez has a post up that deep-dives theming in general and demonstrates using it on WP7... end-user configurations and developer stuff. Space Rocks game step 7: Moving the ship It appears that in the heat of battle (blogging) I said Bill Reiss' Space Rocks game he's building is for WP7... obviously it's not, but it's a game folks... :) THis is Episode 7 and he's moving the ship now. SL4(RC) RichTextBox and Access Violation Lee has some code that looks like it should work for a RichTextBox in SL4RC, and it's throwing an error... see if you have a solution for him... or is it a bug? Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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  • July, the 31 Days of SQL Server DMO’s – Day 18 (sys.dm_io_virtual_file_stats)

    - by Tamarick Hill
    The sys.dm_io_virtual_file_stats Dynamic Management Function is used to return IO statistic information about each of your database files on your server. As input parameters, this function takes a database_id and a file_id. If you want to return IO statistic information for all files, you can simply pass in NULL values for both of these. Let’s have a look at this function  and examine its results: SELECT db_name(database_id) DatabaseName, * FROM sys.dm_io_virtual_file_stats(NULL, NULL) The first column in the result set is the DatabaseName which is just a column I created using the db_name() system function and the database_id column from this function. Next we have a file_id which represent the ID for the file, whether it be a data file or transaction log file. The ‘sample_ms’ column represents the total time in milliseconds that the instance has been up and running. Next we have the ‘num_of_reads’, ‘num_of_bytes_read’, and later ‘num_of_writes’, and ‘num_of_bytes_written’. These columns represent the number of reads or writes and number of bytes read or written against a particular file. These columns are beneficial when determining how often a particular file is being accessed. The ‘io_stall_read_ms’ and io_stall_write_ms’ columns each represent the the total time in milliseconds that users have had to wait for reads or writes against a file respectively. The ‘io_stall’ column is the sum of both read and write io stalls. The ‘size_on_disk_bytes’ column represents the size of the respective file on your disk subsystem. Lastly the ‘file_handle’ column is simply the Windows File handle. This Dynamic Management Function is useful when you are needing to analyze your database files for the purposes of segregating high IO databases. This DMF gives you a good view of which of your database files are being accessed the most and which ones may be generating the largest IO stalls. These could be your best candidates for moving into separate IO channels. For more information about this DMF, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms190326.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 27 (sys.dm_db_file_space_usage)

    - by Tamarick Hill
    The sys.dm_db_file_space usage DMV returns information about database file space usage.  This DMV was enhanced for the 2012 version to include 3 additional columns. Let’s query this DMV against our AdventureWorks2012 database and view the results. SELECT * FROM sys.dm_db_file_space_usage The column returned from this DMV are really self-explanatory, but I will give you a description, paraphrased from books online, below. The first three columns returned from this DMV represent the Database, File, and Filegroup for the current database context that executed the DMV query. The next column is the total_page_count which represents the total number of pages in the file. The allocated_extent_page_count represents the total number of pages in all extents that have been allocated. The unallocated_extent_page_count represents the number of pages in the unallocated extents within the file. The version_store_reserved_page_count column represents the number of pages that are allocated to the version store. The user_object_reserved_page_count represents the number of pages allocated for user objects. The internal_object_reserved_page_count represents the number of pages allocated for internal objects.  Lastly is the mixed_extent_page_count which represents the total number of pages that are part of mixed extents. This is a great DMV for retrieving usage space information from your database files. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms174412.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 21 (sys.dm_db_partition_stats)

    - by Tamarick Hill
    The sys.dm_db_partition_stats DMV returns page count and row count information for each table or index within your database. Lets have a quick look at this DMV so we can review some of the results. **NOTE: I am going to create an ‘ObjectName’ column in our result set so that we can more easily identify tables. SELECT object_name(object_id) ObjectName, * FROM sys.dm_db_partition_stats As stated above, the first column in our result set is an Object name based on the object_id column of this result set. The partition_id column refers to the partition_id of the index in question. Each index will have at least 1 unique partition_id and will have more depending on if the object has been partitioned. The index_id column relates back to the sys.indexes table and uniquely identifies an index on a given object. A value of 0 (zero) in this column would indicate the object is a HEAP and a value of 1 (one) would signify the Clustered Index. Next is the partition_number which would signify the number of the partition for a particular object_id. Since none of my tables in my result set have been partitioned, they all display 1 for the partition_number. Next we have the in_row_data_page_count which tells us the number of data pages used to store in-row data for a given index. The in_row_used_page_count is the number of pages used to store and manage the in-row data. If we look at the first row in the result set, we will see we have 700 for this column and 680 for the previous. This means that just to manage the data (not store it) is requiring 20 pages. The next column in_row_reserved_page_count is how many pages have been reserved, regardless if they are being used or not. The next 2 columns are used for storing LOB (Large Object) data which could be text, image, varchar(max), or varbinary(max) columns. The next two columns, row_overflow, represent pages used for data that exceed the 8,060 byte row size limit for the in-row data pages. The next columns used_page_count and reserved_page_count represent the sum of the in_row, lob, and row_overflow columns discussed earlier. Lastly is a row_count column which displays the number of rows that are in a particular index. This DMV is a very powerful resource for identifying page and row count information. By knowing the page counts for indexes within your database, you are able to easily calculate the size of indexes. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms187737.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 24 (sys.dm_db_index_operational_stats)

    - by Tamarick Hill
    The sys.dm_db_index_operational_stats Dynamic Management Function returns information about the IO, locking, and access methods for the indexes that you currently have on your SQL Server Instance. This function takes four input parameters which are (1) database_id, (2) object_id, (3) index_id, and (4) partition_number. Let’s have a look at the results from this function against our AdventureWorks2012 database. This function returns a ton of columns, so not only will I not attempt to describe each of the columns, I wont even attempt to display all of them here. My query below will give you a subset of the columns returned from this function. SELECT database_id, object_id, index_id, partition_number, leaf_insert_count, leaf_delete_count, leaf_update_count, leaf_ghost_count, nonleaf_insert_count, nonleaf_delete_count, nonleaf_update_count, range_scan_count, forwarded_fetch_count, row_lock_count, row_lock_wait_count, page_lock_count, page_lock_wait_count, Index_lock_promotion_attempt_count, index_lock_promotion_count, page_compression_attempt_count, page_compression_success_count FROM sys.dm_db_index_operational_stats(db_id('AdventureWorks2012'), NULL, NULL, NULL) The first four columns in the result set represent the values that we passed in as our input parameters. If you use NULL’s as I did, then you will see results for every index on your system. I specified a database_id so my result set only shows those records pertaining to my AdventureWorks2012 database. The next columns in the result set provide you with information on how may inserts, deletes, or updates that have taken place on your leaf and nonleaf index levels. The nonleaf levels would refer to the intermediate and root index levels. In the middle of these you see a leaf_ghost_count column, which represents the number of records that have been logically deleted and marked as “ghosted”  and are waiting on the background ghost cleanup process to physically remove them. The range_scan_count column represents the number of range or table scans that have been performed against an index. The forwarded_fetch_count column represents the number of rows that were returned from a forwarding row pointer. The row_lock_count and row_lock_wait_count represent the number of row locks that have been requested for an index and the number of times SQL has had to wait on a row lock respectively. The page_lock_count and page_lock_wait_count represent the number of page locks that have been requested for an index and the number of times SQL has had to wait on a page lock respectively. The index_lock_promotion_attempt_count represents the number of times the database engine has attempted to promote a lock to the index level. The index_lock_promotion_count column displays how many times that index lock promotion was successful. Lastly the page_compression_attempt_count and page_compression_success_count represents how many times a page was attempted to be compressed and how many times the attempt was successful. As you can see there is a ton of information returned from this DMV. The DMV we reviewed on yesterday (sys.dm_db_index_usage_stats) provided you with good information on when and how indexes have been used, but this DMF takes an even deeper dive into these statistics. If you are interested in performing a very detailed analysis on the operational stats of your indexes, this is not only a good place to start, but more than likely the best place. For more information on this Dynamic Management Function, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms174281.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 30 (sys.dm_server_registry)

    - by Tamarick Hill
    The sys.dm_server_registry DMV is used to provide SQL Server configuration and installation information that is currently stored in your Windows Registry. It is a very simple DMV that returns only three columns. The first column returned is the registry_key. The second column returned is the value_name which is the name of the actual registry key value. The third and final column returned is the value_data which is the value of the registry key data. Lets have a look at the information this DMV returns as well as some key values from the Windows Registy. SELECT * FROM sys.dm_server_registry View using RegEdit to view the registy: This DMV provides you with a quick and easy way to view SQL Server Instance registry values. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/hh204561.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 29 (sys.dm_os_buffer_descriptors)

    - by Tamarick Hill
    The sys.dm_os_buffer_descriptors Dynamic Management View gives you a look into the data pages that are currently in your SQL Server buffer pool. Just in case you are not familiar with some of the internals to SQL Server and how the engine works, SQL Server only works with objects that are in memory (buffer pool). When an object such as a table needs to be read and it does not exist in the buffer pool, SQL Server will read (copy) the necessary data page(s) from disk into the buffer pool and cache it. Caching takes place so that it can be reused again and prevents the need of expensive physical reads. To better illustrate this DMV, lets query it against our AdventureWorks2012 database and view the result set. SELECT * FROM sys.dm_os_buffer_descriptors WHERE database_id = db_id('AdventureWorks2012') The first column returned from this result set is the database_id column which identifies the specific database for a given row. The file_id column represents the file that a particular buffer descriptor belongs to. The page_id column represents the ID for the data page within the buffer. The page_level column represents the index level of the data page. Next we have the allocation_unit_id column which identifies a unique allocation unit. An allocation unit is basically a set of data pages. The page_type column tells us exactly what type of page is in the buffer pool. From my screen shot above you see I have 3 distinct type of Pages in my buffer pool, Index, Data, and IAM pages. Index pages are pages that are used to build the Root and Intermediate levels of a B-Tree. A Data page would represent the actual leaf pages of a clustered index which contain the actual data for the table. Without getting into too much detail, an IAM page is Index Allocation Map page which track GAM (Global Allocation Map) pages which in turn track extents on your system. The row_count column details how many data rows are present on a given page. The free_space_in_bytes tells you how much of a given data page is still available, remember pages are 8K in size. The is_modified signifies whether or not a page has been changed since it has been read into memory, .ie a dirty page. The numa_node column represents the Nonuniform memory access node for the buffer. Lastly is the read_microsec column which tells you how many microseconds it took for a data page to be read (copied) into the buffer pool. This is a great DMV for use when you are tracking down a memory issue or if you just want to have a look at what type of pages are currently in your buffer pool. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms173442.aspx Follow me on Twitter @PrimeTimeDBA

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  • July, the 31 Days of SQL Server DMO’s – Day 25 (sys.dm_db_missing_index_details)

    - by Tamarick Hill
    The sys.dm_db_missing_index_details Dynamic Management View is used to return information about missing indexes on your SQL Server instances. These indexes are ones that the optimizer has identified as indexes it would like to use but did not have. You may also see these same indexes indicated in other tools such as query execution plans or the Database tuning advisor. Let’s execute this DMV so we can review the information it provides us. I do not have any missing index information for my AdventureWorks2012 database, but for the purposes of illustrating the result set of this DMV, I will present the results from my msdb database. SELECT * FROM sys.dm_db_missing_index_details The first column presented is the index_handle which uniquely identifies a particular missing index. The next two columns represent the database_id and the object_id for the particular table in question. Next is the ‘equality_columns’ column which gives you a list of columns (comma separated) that would be beneficial to the optimizer for equality operations. By equality operation I mean for any queries that would use a filter or join condition such as WHERE A = B. The next column, ‘inequality_columns’, gives you a comma separated list of columns that would be beneficial to the optimizer for inequality operations. An inequality operation is anything other than A = B. For example, “WHERE A != B”, “WHERE A > B”, “WHERE A < B”, and “WHERE A <> B” would all qualify as inequality. Next is the ‘included_columns’ column which list all columns that would be beneficial to the optimizer for purposes of providing a covering index and preventing key/bookmark lookups. Lastly is the ‘statement’ column which lists the name of the table where the index is missing. This DMV can help you identify potential indexes that could be added to improve the performance of your system. However, I will advise you not to just take the output of this DMV and create an index for everything you see. Everything listed here should be analyzed and then tested on a Development or Test system before implementing into a Production environment. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms345434.aspx Follow me on Twitter @PrimeTimeDBA

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  • EnOcean -> USB Serial Communication (C++)

    - by regorianer
    I guess it is not the right place to ask here for enocean specific details, but maybe I am doing something wrong by using serial connections and you can help me no matter if there is knowledge about this technology or not. I have a problem to communicate with the RCM152 Module. I have written a C++ program to communicate with the RCM152 by emulating packets of the PTM 200. I teach the RCM152 to listen to the following packets: [06/19/12 04:21:44.546] INFO: SENDING BYTE : 55 <-- start byte [06/19/12 04:21:44.546] INFO: SENDING BYTE : 00 <-- head begin [06/19/12 04:21:44.546] INFO: SENDING BYTE : 07 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 07 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 01 <-- head end [06/19/12 04:21:44.546] INFO: SENDING BYTE : 7a <-- CRC Check [06/19/12 04:21:44.546] INFO: SENDING BYTE : f6 <-- packet type [06/19/12 04:21:44.546] INFO: SENDING BYTE : 20 <-- My action (00 and 10 -> OFF, 20 and 30 -> ON) [06/19/12 04:21:44.546] INFO: SENDING BYTE : 00 <-- serial.byte 3 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 24 <-- serial.byte 2 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 21 <-- serial.byte 1 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 87 <-- serial.byte 0 [06/19/12 04:21:44.546] INFO: SENDING BYTE : 30 <-- status [06/19/12 04:21:44.546] INFO: SENDING BYTE : 03 <-- 03 for send, 01 for receiver [06/19/12 04:21:44.546] INFO: SENDING BYTE : ff <-- begin destination [06/19/12 04:21:44.546] INFO: SENDING BYTE : ff [06/19/12 04:21:44.546] INFO: SENDING BYTE : ff [06/19/12 04:21:44.546] INFO: SENDING BYTE : ff <-- end destination [06/19/12 04:21:44.546] INFO: SENDING BYTE : ff <-- Transmission quality (sender ff) [06/19/12 04:21:44.546] INFO: SENDING BYTE : 00 [06/19/12 04:21:44.547] INFO: SENDING BYTE : 10 <-- CRC Check A PTM200 Device or a SG-FUS-24-230 Device are sending equivalent packets like: [06/19/12 04:30:31.106] INFO: Received Byte: 55 [06/19/12 04:30:31.106] INFO: Received Byte: 00 [06/19/12 04:30:31.106] INFO: Received Byte: 07 [06/19/12 04:30:31.106] INFO: Received Byte: 07 [06/19/12 04:30:31.106] INFO: Received Byte: 01 [06/19/12 04:30:31.106] INFO: Received Byte: 7a [06/19/12 04:30:31.106] INFO: Received Byte: f6 [06/19/12 04:30:31.106] INFO: Received Byte: 40 [06/19/12 04:30:31.106] INFO: Received Byte: 00 [06/19/12 04:30:31.106] INFO: Received Byte: 24 [06/19/12 04:30:31.106] INFO: Received Byte: 6c [06/19/12 04:30:31.106] INFO: Received Byte: 2f [06/19/12 04:30:31.106] INFO: Received Byte: 30 [06/19/12 04:30:31.106] INFO: Received Byte: 01 [06/19/12 04:30:31.106] INFO: Received Byte: ff [06/19/12 04:30:31.106] INFO: Received Byte: ff [06/19/12 04:30:31.108] INFO: Received Byte: ff [06/19/12 04:30:31.108] INFO: Received Byte: ff [06/19/12 04:30:31.108] INFO: Received Byte: 37 [06/19/12 04:30:31.108] INFO: Received Byte: 00 [06/19/12 04:30:31.108] INFO: Received Byte: d1 I can control the device connected to the RCM152 like I want to with my sending packets (thats a good fact and means that the RCM152 has learned my packets and can use them. Also the actions (0x10 - ON, 0x30 - OFF) are working fine), but the problem is, that no matter which serial I choose, the RCM152 reacts to these packets. I only want to have actions if the teached-in serial is send and all other packets with different serials to be ignored. The RCM152 is not reacting to the packets sent by the PTM200 nor by the SG-FUS-24-230 because these are not teached-in. Thats exactly what I want to have with the packets created myself. What am I doing wrong? The libraries I am using are these for C++ http://pvbrowser.de/pvbrowser/sf/manual/rllib/html/ The enocean EEP says: For this purpose of a determined relationship between transmitter and receiver each transmitting device has a unique Sender-ID which is part of each radio telegram. The receiving device detects from the Sender-ID whether the device is known, i.e., was already learned, or unknown. A telegram with unknown Sender-ID is disregarded.

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  • July, the 31 Days of SQL Server DMO’s – Day 3 (sys.dm_exec_connections)

    - by Tamarick Hill
      The third DMV we will review is the sys.dm_exec_connections DMV. This DMV is Server-Scoped and displays information about each and every current connection on your SQL Server Instance. Lets take a look at some information that this DMV returns. SELECT * FROM sys.dm_exec_connections After reviewing this DMV, in my opinion, its not a whole lot of useful information returned from this DMV from a monitoring or troubleshooting standpoint. The primary use case I have for this DMV is when I need to get a quick count of how many connections I have on one of my SQL Server boxes. For this purpose a quick SELECT COUNT(*) satisfies my need. However, for those who need it, there is other information such as what type of authentication a specific connection is using, network packet size, and client/local TCP ports being used. This information can come in handy for specific scenarios but you probably wont need it very much for your day to day monitoring/troubleshooting needs. However, this is still an important DMV that you should be aware of in the event that you need it. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms181509.aspx

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  • T-SQL Tuesday #31 - Logging Tricks with CONTEXT_INFO

    - by Most Valuable Yak (Rob Volk)
    This month's T-SQL Tuesday is being hosted by Aaron Nelson [b | t], fellow Atlantan (the city in Georgia, not the famous sunken city, or the resort in the Bahamas) and covers the topic of logging (the recording of information, not the harvesting of trees) and maintains the fine T-SQL Tuesday tradition begun by Adam Machanic [b | t] (the SQL Server guru, not the guy who fixes cars, check the spelling again, there will be a quiz later). This is a trick I learned from Fernando Guerrero [b | t] waaaaaay back during the PASS Summit 2004 in sunny, hurricane-infested Orlando, during his session on Secret SQL Server (not sure if that's the correct title, and I haven't used parentheses in this paragraph yet).  CONTEXT_INFO is a neat little feature that's existed since SQL Server 2000 and perhaps even earlier.  It lets you assign data to the current session/connection, and maintains that data until you disconnect or change it.  In addition to the CONTEXT_INFO() function, you can also query the context_info column in sys.dm_exec_sessions, or even sysprocesses if you're still running SQL Server 2000, if you need to see it for another session. While you're limited to 128 bytes, one big advantage that CONTEXT_INFO has is that it's independent of any transactions.  If you've ever logged to a table in a transaction and then lost messages when it rolled back, you can understand how aggravating it can be.  CONTEXT_INFO also survives across multiple SQL batches (GO separators) in the same connection, so for those of you who were going to suggest "just log to a table variable, they don't get rolled back":  HA-HA, I GOT YOU!  Since GO starts a new batch all variable declarations are lost. Here's a simple example I recently used at work.  I had to test database mirroring configurations for disaster recovery scenarios and measure the network throughput.  I also needed to log how long it took for the script to run and include the mirror settings for the database in question.  I decided to use AdventureWorks as my database model, and Adam Machanic's Big Adventure script to provide a fairly large workload that's repeatable and easily scalable.  My test would consist of several copies of AdventureWorks running the Big Adventure script while I mirrored the databases (or not). Since Adam's script contains several batches, I decided CONTEXT_INFO would have to be used.  As it turns out, I only needed to grab the start time at the beginning, I could get the rest of the data at the end of the process.   The code is pretty small: declare @time binary(128)=cast(getdate() as binary(8)) set context_info @time   ... rest of Big Adventure code ...   go use master; insert mirror_test(server,role,partner,db,state,safety,start,duration) select @@servername, mirroring_role_desc, mirroring_partner_instance, db_name(database_id), mirroring_state_desc, mirroring_safety_level_desc, cast(cast(context_info() as binary(8)) as datetime), datediff(s,cast(cast(context_info() as binary(8)) as datetime),getdate()) from sys.database_mirroring where db_name(database_id) like 'Adv%';   I declared @time as a binary(128) since CONTEXT_INFO is defined that way.  I couldn't convert GETDATE() to binary(128) as it would pad the first 120 bytes as 0x00.  To keep the CAST functions simple and avoid using SUBSTRING, I decided to CAST GETDATE() as binary(8) and let SQL Server do the implicit conversion.  It's not the safest way perhaps, but it works on my machine. :) As I mentioned earlier, you can query system views for sessions and get their CONTEXT_INFO.  With a little boilerplate code this can be used to monitor long-running procedures, in case you need to kill a process, or are just curious  how long certain parts take.  In this example, I added code to Adam's Big Adventure script to set CONTEXT_INFO messages at strategic places I want to monitor.  (His code is in UPPERCASE as it was in the original, mine is all lowercase): declare @msg binary(128) set @msg=cast('Altering bigProduct.ProductID' as binary(128)) set context_info @msg go ALTER TABLE bigProduct ALTER COLUMN ProductID INT NOT NULL GO set context_info 0x0 go declare @msg1 binary(128) set @msg1=cast('Adding pk_bigProduct Constraint' as binary(128)) set context_info @msg1 go ALTER TABLE bigProduct ADD CONSTRAINT pk_bigProduct PRIMARY KEY (ProductID) GO set context_info 0x0 go declare @msg2 binary(128) set @msg2=cast('Altering bigTransactionHistory.TransactionID' as binary(128)) set context_info @msg2 go ALTER TABLE bigTransactionHistory ALTER COLUMN TransactionID INT NOT NULL GO set context_info 0x0 go declare @msg3 binary(128) set @msg3=cast('Adding pk_bigTransactionHistory Constraint' as binary(128)) set context_info @msg3 go ALTER TABLE bigTransactionHistory ADD CONSTRAINT pk_bigTransactionHistory PRIMARY KEY NONCLUSTERED(TransactionID) GO set context_info 0x0 go declare @msg4 binary(128) set @msg4=cast('Creating IX_ProductId_TransactionDate Index' as binary(128)) set context_info @msg4 go CREATE NONCLUSTERED INDEX IX_ProductId_TransactionDate ON bigTransactionHistory(ProductId,TransactionDate) INCLUDE(Quantity,ActualCost) GO set context_info 0x0   This doesn't include the entire script, only those portions that altered a table or created an index.  One annoyance is that SET CONTEXT_INFO requires a literal or variable, you can't use an expression.  And since GO starts a new batch I need to declare a variable in each one.  And of course I have to use CAST because it won't implicitly convert varchar to binary.  And even though context_info is a nullable column, you can't SET CONTEXT_INFO NULL, so I have to use SET CONTEXT_INFO 0x0 to clear the message after the statement completes.  And if you're thinking of turning this into a UDF, you can't, although a stored procedure would work. So what does all this aggravation get you?  As the code runs, if I want to see which stage the session is at, I can run the following (assuming SPID 51 is the one I want): select CAST(context_info as varchar(128)) from sys.dm_exec_sessions where session_id=51   Since SQL Server 2005 introduced the new system and dynamic management views (DMVs) there's not as much need for tagging a session with these kinds of messages.  You can get the session start time and currently executing statement from them, and neatly presented if you use Adam's sp_whoisactive utility (and you absolutely should be using it).  Of course you can always use xp_cmdshell, a CLR function, or some other tricks to log information outside of a SQL transaction.  All the same, I've used this trick to monitor long-running reports at a previous job, and I still think CONTEXT_INFO is a great feature, especially if you're still using SQL Server 2000 or want to supplement your instrumentation.  If you'd like an exercise, consider adding the system time to the messages in the last example, and an automated job to query and parse it from the system tables.  That would let you track how long each statement ran without having to run Profiler. #TSQL2sDay

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