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Oracle® ZFS Storage Appliance Analytics Guide
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Document Information

Using This Documentation

Chapter 1 Introduction

Chapter 2 Analytics Interface

Chapter 3 Statistics and Datasets

Chapter 4 Performance Impact

Overhead

Performance Impact

Storage

Raw Statistics

Breakdowns

Exporting Statistics

Execution

Static Statistics

Dynamic Statistics

Index

Execution

Enabling statistics will incur some CPU cost for data collection and aggregation. In many situations, this overhead will not make a noticeable difference on system performance. However for systems under maximum load, including benchmark loads, the small overhead of statistic collection can begin to be noticeable.

Here are some tips for handling execution overheads:

Static Statistics

Some statistics are sourced from operating system counters are always maintained, which may be called static statistics. Gathering these statistics has negligible effect on the performance of the system, since to an extent the system is already maintaining them (they are usually gathered by an operating system feature called Kstat). Examples of these statistics are:

Table 4-2  Static Statistics
Category
Statistic
CPU
percent utilization
CPU
percent utilization broken down by CPU mode
Cache
ARC accesses per second broken down by hit/miss
Cache
ARC size
Disk
I/O bytes per second
Disk
I/O bytes per second broken down by type of operation
Disk
I/O operations per second
Disk
I/O operations per second broken down by disk
Disk
I/O operations per second broken down by type of operation
Network
device bytes per second
Network
device bytes per second broken down by device
Network
device bytes per second broken down by direction
Protocol
NFSv3/NFSv4 operations per second
Protocol
NFSv3/NFSv4 operations per second broken down by type of operation

When seen in the BUI, those from the above list without "broken down by" text may have "as a raw statistic".

Since these statistics have negligible execution cost and provide a broad view of system behaviour, many are archived by default. See the default statistics list.

Dynamic Statistics

These statistics are created dynamically, and are not usually maintained by the system (they are gathered by an operating system feature called DTrace). Each event is traced, and each second this trace data is aggregated into the statistic. And so the cost of this statistic is proportional to the number of events.

Tracing disk details when the activity is 1000 ops/sec is unlikely to have a noticeable affect on performance, however measuring network details when pushing 100,000 packets/sec is likely to have a negative effect. The type of information gathered is also a factor: tracing file names and client names will increase the performance impact.

Examples of dynamic statistics include:

Table 4-3  Dynamic Statistics
Category
Statistic
Protocol
SMB operations per second
Protocol
SMB operations per second broken down by type of operation
Protocol
HTTP/WebDAV requests per second
Protocol
... operations per second broken down by client
Protocol
... operations per second broken down by file name
Protocol
... operations per second broken down by share
Protocol
... operations per second broken down by project
Protocol
... operations per second broken down by latency
Protocol
... operations per second broken down by size
Protocol
... operations per second broken down by offset

"..." denotes any of the protocols.

The best way to determine the impact of these statistics is to enable and disable them while running under steady load. Benchmark software may be used to apply that steady load. See Tasks for the steps to calculate performance impact in this way.