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Database Design
|
Rule |
Description |
Value |
Source |
Problem Description |
|
1 |
Excessive sorting and RID lookup operations should be reduced with covered indexes. |
|
Sys.dm_exec_sql_text Sys.dm_exec_cached_plans |
Large data warehouse can benefit from more indexes. Indexes can be used to cover queries and avoid sorting. The cost of index overhead is only paid when data is loaded. |
|
2 |
Excessive fragmentation: Average fragmentation_in_percent should be <25% |
>25% |
sys.dm_db _index_physical_stats |
Reducing index fragmentation through index rebuilds can benefit big range scans, common in data warehouse and Reporting scenarios. |
|
3 |
Scans and ranges are common. Look for missing indexes |
>= 1 |
Perfmon object SQL Server Access Methods Sys.dm_db_missing_index_group_stats Sys.dm_db_missing_index_groups Sys.dm_db_missing_index_details |
A missing index flushes the cache. |
|
4 |
Unused Indexes should be avoided |
If an index is NEVER used, it will not appear in the DMV sys.dm_db_index_usage_stats |
Index maintenance for unused indexes should be avoided. |
|
Resource issue: CPU
|
Rule |
Description |
Value |
Source |
Problem Description |
|
1 |
Signal Waits |
> 25% |
Sys.dm_os_wait_stats |
Time in runnable queue is pure CPU wait. |
|
2 |
Avoid plan reuse |
> 25% |
Perfmon object SQL Server Statistics |
Data warehouse has fewer transactions than OLTP, each with significantly bigger IO. Therefore, having the correct plan is more important than reusing a plan. Unlike OLTP, data warehouse queries are not identical. |
|
3 |
Parallelism: Cxpacket waits |
<10% |
Sys.dm_os_wait_stats |
Parallelism is desirable in data warehouse or reporting workloads. |
Resource issue: Memory
|
Rule |
Description |
Value |
Source |
Problem Description |
|
1 |
Memory grants pending |
>1 |
Perfmon object SQL Server Memory Manager |
Memory grant not available for query to run. Check for Sufficient memory and page life expectancy. |
|
2 |
Page life expectancy |
Drops by 50% |
Perfmon object SQL Server Buffer Manager |
Page life expectancy is the average number of seconds a data page stays in cache. Low values could indicate a cache flush that is caused by a big read. Look for possible missing index. |
Resource issue: IO
|
Rule |
Description |
Value |
Source |
Problem Description |
|
1 |
Average Disk sec/read |
>20 ms |
Perfmon object Physical Disk |
Reads should take 4-8ms without any IO pressure. |
|
2 |
Average Disk sec/write |
>20 ms |
Perfmon object Physical Disk |
Writes (sequential) can be as fast as 1 ms for transaction log. |
|
3 |
Big scans |
>1 |
Perfmon object SQL Server Access Methods |
A missing index flushes the cache. |
|
4 |
If Top 2 values for wait stats are any of the following: ASYNCH_IO_COMPLETION IO_COMPLETION LOGMGR WRITELOG PAGEIOLATCH_x |
Top 2 |
Sys.dm_os_wait_stats |
If top 2 wait_stats values include IO, there is an IO bottleneck |
Resource issue: Blocking
|
Rule |
Description |
Value |
Source |
Problem Description |
|
1 |
Block percentage |
>2% |
Sys.dm_db_index_operational_stats |
Frequency of blocks. |
|
2 |
Block process report |
30 sec |
Sp_configure, profiler |
Report of statements. |
|
3 |
Average Row Lock Waits |
>100ms |
Sys.dm_db_index_operational_stats |
Duration of blocks. |
|
4 |
If Top 2 values for wait stats are any of the following: LCK_M_BU LCK_M_IS LCK_M_IU LCK_M_IX LCK_M_RIn_NL LCK_M_RIn_S LCK_M_RIn_U LCK_M_RIn_X LCK_M_RS_S LCK_M_RS_U LCK_M_RX_S LCK_M_RX_U LCK_M_RX_X LCK_M_S LCK_M_SCH_M LCK_M_SCH_S LCK_M_SIU LCK_M_SIX LCK_M_U LCK_M_UIX LCK_M_X |
Top 2 |
Sys.dm_os_wait_stats |
If top 2 wait_stats values include IO, there is a blocking bottleneck. Consider using row versioning to minimize shared locking blocks. |
Exactly the opposite of OLTP applications, reporting or relational data warehouse applications are characterized by small numbers of (different) big transactions. These are frequently SELECT intensive operations. The implications are significant for database design, resource usage, and system performance.
Reporting and data warehouse performance objectives are as follows:
Common Scenarios to avoid with DataWarehousing
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原文地址：http://www.cnblogs.com/ajiangg/p/4570822.html
