The SQL Server T-SQL backup command allows setting the maxtransfersize parameter to determine the largest SQL Server host side disk IO. By default, a 1 mb maxtransfersize is used.
The fibre channel HBA also has a max transfer size - default on Windows is 512kb. Emulex allows max transfer size to be up to 4 mb on Windows in latest driver releases, QLogic allows up to 2 mb. In general, I recommend increasing the HBA max transfer size to at least 1 mb... why let SQL Server *want* to send larger IOs, only to be denied by the HBA :-)
So, let's say the system is using an Emulex HBA, and the backup source database files and the backup targets are on LUNs served up from an EMC VNX.
I generally recommend two SQL Server backup target LUNs on EMC VNX or CLARiiON SANs, with one target LUN on each storage controller to balance research utilization. In most cases, you'll want to use backup compression and I generally recommend one or two times the number of data files from the source database as the number of target files, with an equal number on each target LUN.
In most cases, though, I think SQL Server sites are using a single large LUN for a given SQL Server instance's backup targets, even if that LUN contains multiple files used as backup targets.
Now for the fun part. CLARiiON and VNX have a limited amount of write cache on each controller. Write cache destaging is controlled by configurable low and high write-pending watermarks. Exceed the high watermark, and write cache destaging will become more aggressive until the write-pending is back down to the low watermark. During more aggressive write cache destaging, reads have their priority lowered and read latency increases.
During extremely write intensive workloads, write pending levels can easily rise... then read latencies rise. Cause forced flushes of a given controller's write cache, and all tenants of the controller will notice the latency increase until the flush has completed.
Backups are write intensive. Full backup of a 1 TB data footprint SQL Server database, even with backup compression, can easily write out 300 GB or more to the target.
If the backup reads are well tuned (enough LUNs for the source database files, high enough queue depth, high enough BUFFERCOUNT parameter value), the backup writes will put an awful lot of write pressure on the target LUNs.
EMC has thought about that ahead of time. The CLARiiON and the VNX allow configuring a write-aside value. Well... unless you are using virtual provisioning. If using virtual provisioning, the write-aside default of 1 mb cannot be overridden.
When the write-aside is in effect, writes larger than that threshold bypass write cache and are written directly to the storage devices.
There's at least one good reason to want to do that: if there are other tenants of the SAN, by keeping the write cache free of the huge writes coming from the backup, there is less chance of dragging down performance for other applications.
Optimally, the backup write targets will be located on a set of physical disks separate from the source databases... and ideally separate from other activity at that time. That would allow noncached writes to go to the hard disks with very little head movement - very high transfer rate expected. In fact, I'd recommend this when possible even if the writes are cached... because without any other competition the cached writes can destage to these disks quite quickly. And... later when its time to pull the backup off of those disks to get it into TSM, or NetBackup or ???, if there's no other activity the read transfer rate should be pretty high, too because of the minimized disk head movement.
So... for optimal SQL Server backups, a few fundamental things to think about before getting to the SQL Server level: HBA maxtransfersize, array write cache effect of the backup, and physical disk isolation for the backup targets.
Wednesday, May 28, 2014
"\SQLServer:Buffer Manager\Page life expectancy" hides some detail on NUMA machines
Just a few words about "\SQLServer:Buffer Manager\Page life expectancy" vs. "\SQLServer:Buffer Node(*)\Page life expectancy".
On busy servers with multiple NUMA nodes, the overall PLE provided by "\SQLServer:Buffer Manager\Page life expectancy" can obscure some detail that is very helpful in investigations. Consider the difference between "PLE" and the individual NUMA node PLEs (from \SQLServer:Buffer Manager\Page life expectancy) below.
Most OLTP workloads may never be disturbed by this condition. Busy, batch-oriented workloads could fall victim to it, though. That would include certain optimization strategies for SQL Server index maintenance.
![](data:image/png;base64,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)
If only "PLE" were considered, it looks like there is a problem with server memory sufficiency (assuming the workload itself is not problematic). But, when looking at the PLE of the 4 individual NUMA nodes, it becomes apparent that NUMA node 001 is working its memory hard, while the others are loafing.
![](data:image/png;base64,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)
The workload on this server is being performed exclusively in the Resource Governor Default Workload Group. Plotting the node PLEs against the parallel worker count for the Default RG group shows that its during times of high active parallel workers that the memory across the server seems to be used unevenly.
![](data:image/png;base64,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)
From my perspective its significant that two of the disk IO read spikes above coincide with precipitous drops in the Node 001 PLE.
![](data:image/png;base64,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)
I aggregated '\Processor(*)\% Processor Time' aligned with NUMA node boundaries and this is the result. CPU is being used fairly evenly across all 4 NUMA nodes, but memory in one NUMA node is stressed.
That scenario can happen in large query batches, where queries interested in the same large data sets run nearly concurrently. First one in wins - the first query to start executing will very likely have all of its workers on a single NUMA node. When pages are read into the bpool for those workers, they'll be inserted into the bpool region controlled by the "home node" of those workers. Other queries just a few moments behind on the 000, 002, and 003 node will 'bogart' off the leader in NUMA node 001 - they'll get many more cache hits - most of them from NUMA node 001's home node memory region.
On busy servers with multiple NUMA nodes, the overall PLE provided by "\SQLServer:Buffer Manager\Page life expectancy" can obscure some detail that is very helpful in investigations. Consider the difference between "PLE" and the individual NUMA node PLEs (from \SQLServer:Buffer Manager\Page life expectancy) below.
Most OLTP workloads may never be disturbed by this condition. Busy, batch-oriented workloads could fall victim to it, though. That would include certain optimization strategies for SQL Server index maintenance.
If only "PLE" were considered, it looks like there is a problem with server memory sufficiency (assuming the workload itself is not problematic). But, when looking at the PLE of the 4 individual NUMA nodes, it becomes apparent that NUMA node 001 is working its memory hard, while the others are loafing.
The workload on this server is being performed exclusively in the Resource Governor Default Workload Group. Plotting the node PLEs against the parallel worker count for the Default RG group shows that its during times of high active parallel workers that the memory across the server seems to be used unevenly.
From my perspective its significant that two of the disk IO read spikes above coincide with precipitous drops in the Node 001 PLE.
I aggregated '\Processor(*)\% Processor Time' aligned with NUMA node boundaries and this is the result. CPU is being used fairly evenly across all 4 NUMA nodes, but memory in one NUMA node is stressed.
That scenario can happen in large query batches, where queries interested in the same large data sets run nearly concurrently. First one in wins - the first query to start executing will very likely have all of its workers on a single NUMA node. When pages are read into the bpool for those workers, they'll be inserted into the bpool region controlled by the "home node" of those workers. Other queries just a few moments behind on the 000, 002, and 003 node will 'bogart' off the leader in NUMA node 001 - they'll get many more cache hits - most of them from NUMA node 001's home node memory region.
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