To achieve a reasonably good performance from SQL Server
implementations, careful planning of the I/O subsystem and applying all good
practices is crucial. At the beginning of a database application life cycle,
I/O issues are undetectable as the application runs against a smaller database.
As databases grow, database server performance issue starts being noticed. Tackling
these issues later down the road is definitely unproductive and a cumbersome
process.
Latency Measurement:
If an application is designed optimally and the I/O
subsystem is configured correctly, then Microsoft has a very good recommendation
about the I/O latency. These recommendations are well accepted by all the
industries experts and can be evaluated against OLTP or DSS implementation (Microsoft
TechNet source). Please note that the acceptance level of I/O Latency would slightly
vary based on some factors such as random, sequential, and I/O size (8K, 64K, 128K,
etc.).
PerfMon Counter
|
Threshold Value
|
Data or Log
|
Type of workload
|
Average Disk/sec Read & Average Disk/sec Write
|
1ms - 5ms
|
Log
|
|
4ms - 20ms
|
Data
|
OLTP
|
|
30ms or less
|
Data
|
DSS
|
I/O measurement and using
PerfMon:
There are several performance counters and different
technique existing that can be used to measure I/O performance, latency and
IOPS. Following are some widely used Windows PerfMon counters that are
trustworthy.
Measuring of disk latency:
·
Average Disk sec/Read
·
Average Disk sec/Write
·
Average Disk sec/Transfer
Measuring disk throughputs:
·
Disk Read Bytes/sec
·
Disk Write Bytes/sec
·
Disk Bytes/sec
Measuring IOPS:
·
Disk Reads/sec
·
Disk Writes/sec
·
Disk Transfers/sec
Measuring a I/O requests if it splits into
multiple requests:
·
Split IO/Sec
When is a disk overwhelmed? Usually when the disk throughput
increases, latency also increases more or less. However, when the disk
throughput remains almost the same but the latency increases as time passes, it
results in disk saturation or I/O bottleneck.
Source of I/O Issues:
There are numerous reasons why a disk experiences bottleneck
on a SQL Server. Following are some handful factors:
·
Inadequate memory for the buffer pool.
·
Index fragmentation.
·
Outdated statistics.
·
Improper or non-optimal fill factor.
·
Not using data compression (enterprise edition
only).
· No isolation of Index, Data and Log files.
·
Structure of database schema such as indexes,
row width, data types.
·
Not using T-SQL performance based Set-Base
technique.
·
Using nested views.
·
Excessive sort operation such as ORDER BY and
GROUP BY.
·
Using Implicit Transaction.
·
Using lengthy Transaction.
·
Excessive using of NOLOCK hints.
·
Using CURSOR method.
·
Lack of covering indexes.
·
Using wider key for clustered index.
·
Workload nature - READ oriented vs. WRITE oriented.
·
Non optimal RAID configuration.
·
Volume alignment (also known as sector
alignment).
·
NTFS Block size (also known as cluster size or
Allocation Unit Size).
·
Suboptimal drivers or firmware used on the host
HBAs or storage array.
·
Improper queue depth settings on HBAs.
·
Incorrectly configured multipath software and/or
fiber switches.
Using and detecting I/O
Issues using my tool:
In my tool, “I/O Response (ms)” represents the overall “I/O
Latency” on a SQL Server Instance. The calculation method includes all the drives
where data files are placed. The T-SQL code which has been used to calculate the
“I/O Response (ms)” in my tool has been extracted from the SSMS “Activity
Monitor”. There may be a fraction of a millisecond calculation variation but it
will provide you the most critical current I/O and workload state.
Figure#1: Overall I/O Response (ms)
Under the “Database” tab, there is a “Database I/O” tab
which calculates I/O operations which has been derived from “sys.dm_io_virtual_file_stats”.
This will provide you with a far more granular and drill-down information about
I/O which are occurring on various data and log files. To use this feature,
multiple clicks on the lightning bolt button are required to activate and to
view the current I/O performance data.
Figure#2: I/O Operation on Data and Log
files
Read Gurus Articles:
Are I/O latencies killing your performance?
SQL Server Best Practices Article
No comments:
Post a Comment