kodiak dmv

fragmentation (introduction to spreads and fragments and fill factors, as I'll say in subsequent articles) we need to re-index to speed performance:For example, a clustered index and a nonclustered index established on the previous TEST_TB2 can query its index through the DMV statement:SELECT Index_type_desc,alloc_unit_type_desc,avg_fragmentation_in_percent,fragment_count,avg_fragment_size_in_ Pages,page_count,record_count,avg_page_space_used_in_perc

usage index after indexing. But this is the case. As the amount of data grows, the index fragmentation is generated, and many of the stored data is not properly spread, causing fragmentation (introduction to spreads and fragments and fill factors, as I'll say in subsequent articles) we need to re-index to speed performance: For example, a clustered index and a nonclustered index established on the previous TEST_TB2 can query its index through the DMV

Tags: Point exception get empty action code SEL PAT TransactionI. ConceptBefore introducing resources to wait for pageiolatch_x, let's look at the DMV view sys.dm_os_wait_stats for the various resources that are being analyzed from the instance level. It is the information that returns all the waits that are encountered by the executing thread, which is an analysis of the various waits from an actual level, which includes more than 200 types of waits,

CPUs.Querying sys.dm_os_schedulers with this query: SELECT * FROM Sys.dm_os_schedulers We'll realize the all the schedulers is ' Visible ' for all the logical CPUs, but only if the them would be ' Online ', Whereas the others is ' Offline 'If you disable hyperthreading, the number of schedulers being Online would decline to a, since one single core are now REPR esented by one CPU thread is compared to both with hyperthreading enabled. In cases where there is many more CPU threads

collecting performance information. The more you collect, the greater the performance loss. There's an interestingThe paradox. To fully monitor performance, you must introduce performance degradation operations into the database. The dilemma that this causes isIs that you cannot be certain that your monitoring behavior has nothing to do with unacceptable performance.Limiting the data retrieved can reduce this uncertainty, but remember that it should not be viewed in isolation from any one speci

monitoring of automatic seed setting System dynamic management view Sys.dm_hadr_automatic_seedingon the primary replica, query sys.dm_hadr_automatic_seeding to check the status of the automatic seeding process. for each seeding process, the view returns a row. For example:SELECT start_time, Completion_time, Is_source, Current_state, Failure_state, Failure_state_desc, Error_c Odefrom sys.dm_hadr_automatic_seedingSys.dm_hadr_physical_seeding_statson the primary replica, query the

Original: SQL Server blocking queryIn the production environment, sometimes the company customer service reflects the Web page half a day, in addition to the browser according to F12 network response to troubleshoot, to determine the Web server after the failure. You need to check if the database is blockedAt that time, the database production environment in the main table data volume of more than 2000w, sub-table data volume of more than 100 million, and updated and new frequently. Combined wit

acknowledgment in the last second.This counter is useful when addressing issues that may be caused by network bottlenecks, such as unexplained failovers, large send queues, or long transaction latency. In these cases, you can analyze the value of this counter to determine whether the problem is caused by the network. Sends/sec The number of mirrored messages sent per second. Transaction Delay The delay time to wait for an unterminated commit acknowledgeme

1. PhenomenaUsing cacti monitoring, there is a graph about the temporary tableYou can see that the temporary table being used is very large in active temp tables, and is maintained at about 400 during non-working hours. It feels very strange, so trace it down!2. ExploreFirst, verify that the cacti data is accurate and that the cacti data is known to be taken from the sys.dm_os_performance_counters counter DMV in SQL Server. So query the following data

Label:Original: How SQL Server stores an index on a variable-length columnIn this article, I want to talk about how SQL Server stores indexes on variable-length columns. First we create a table with variable-length columns, define the primary key above, define the clustered index above, and insert 80,000 records inside: 1 --Create a new table 2 CREATE TABLECustomers3 ( 4CustomerNameVARCHAR(255) not NULL PRIMARY KEY, 5FillerCHAR(138) not NULL 6 ) 7 GO 8 9 --Insert 80.000 Records Ten DECLARE @i I

([id]) Context_info () Another core engine extension upgrade is the dynamic partitioning of thread-safe memory objects based on NUMA nodes or CPUsThis improvement will enable higher parallel loads to be met on NUMA hardware. A thread-Safe memory object (type CmemThread) dynamically improves the partition of a NUMA node or CPU based on load characteristics and contention.In SQL2012 and SQL2014, you need to turn on the trace flag TF 8048来 Raise the Memory object in the partition node in

row of this sys.dm_os_buffer_descriptors dynamic management view (DMV) represents each data page held by the current memory, and you can use this script to see how much space each database occupies in the data cache: 1 SELECT Count(*)*8/1024x768 as 'Cached Size (MB)' 2, Casedatabase_id3 when 32767 Then 'Resourcedb' 4 ELSE db_name(database_id)5 END as 'Database' 6 fromsys.dm_os_buffer_descriptors7 GROUP by db_name(databa

1 UseMaster2 Go3 Select * fromsys.dm_os_buffer_descriptors4 Go5 6 --View the amount of space the database occupies in the data cache7 --128 Bytes, 1/8 kilobytes (KB) because each data page corresponds to a row in dynamic management view (management VIEW,DMV)8 --1 byte (byte) = 8 bit (bit)9 --1000 kilobytes (KB) = 1024 bytes (byte)Ten --1 megabytes (MB) = 1.024 million kilobytes (KB) One Select Count(*)*8/1024x768 as 'Cached Size (MB)', A Ca

tempdb on a fast, dedicated I/O subsystem.6. Use SQL Server agent or mscom with SQL knowledge Pack to create an alert for the monitoring environment to ensure that trace 1101 or 1105 (data is full).The main monitoring of these counters: SQLServer:Databases:LogFile (s) Size (KB), SQLServer:Databases:DataFile (s) Size (KB), sqlserver:databases : Log File (s) used (KB).7. Initialize with an instant database file. Be sure to grant Se_manage_volume_name permissions to the service account. or run wit

Server 2005 introduces dynamic management objects, such as DMV,DMF. New objects are added in SQL Server 2008, new properties. These are very useful information that can be used to monitor SQL Server, diagnose problems, and perform performance monitoring. It can be time-consuming to study these objects carefully. Here is just a list of some common ones.　　Statistics IOStatistics IO is a session option. It returns the I/O information related to the stat

. dmv CentOS-Base.repo CentOS-Base.repo.oldwget http://mirrors.163.com/.help/CentOS6-Base-163.repoyum Makecache checks updatable rpm packages # yum check-update updates all rpm packages # yum updateyum-y groupinstall 'development libraries '************* **************************************** * ************************* 2. oracle Installation ************************************* **************************************** * 1. Check whether the follow

choose base systemlegacy unix compatibility (rsh telnet ksh tftp) Customized topslegacy x window system compatibility (xorg-x11-xdm) ------- 2 configure yum source cd/etc/yum. repos. dmv CentOS-Base.repo CentOS-Base.repo.oldwget http://mirrors.163.com/.help/CentOS6-Base-163.repoyum Makecache checks updatable rpm packages # yum check-update updates all rpm packages # yum update --- 3. disable firewall and selinuxchkconfig -- level 123456 iptables offs

difficult to guess that as long as this type of search is used, the Hash data structure cannot be run. You can find information about the Hash table through the DMV sys. dm_ OS _memory_cache_hash_tables, as shown in figure 2. It is worth noting that when there are too many execution plans that lead to too many objects in the Same Bucket after the hash, additional buckets are required, which may lead to low cache efficiency of the search plan. The sol

extension. The file name mentioned above is a physical file name, but the operation is actually performed on SQL Server. The operation is performed on the logical file name. Files are in a certain State at any time, including: You can use the sys. database_files DMV to view information about the database file including the status, as shown in 1. . View the status of files in the database and other related information You can even attach a

SQL Server execution Cache Through the above introduction, we can see the memory size occupied by the SQL cache. It is also known that the content in the SQL Server execution cache is mainly the execution plan of various SQL statements. To optimize the cache, you can analyze the execution plans in the cache to find out which are useful and which are useless execution plans to analyze and locate the problems. By querying DMV: sys. dm_exec_cached_plan