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I know that memory management in SQL Server is one area that’s a bit of an enigma for a lot of people, and most of us only tend to know as much about memory as is related to our day-to-day activities. In this post(and others in this series), I shall seek to do a deep dive into SQL Server memory management, and give you as complete a picture as possible.
Let’s start off by understanding a few terms:
VAS
Virtual Address Space. Windows uses Virtual addresses to allocate memory to a process, and the virtual address to physical address mapping is taken care of by the OS. For details on the need for using Virtual Addresses, please refer to the following technet article:
https://technet.microsoft.com/en-us/library/cc767886.aspx
On a 32 bit system, the max address that can be referenced is 2^32 (since each bit can reflect can reflect either a "set" state or a "reset state"), which amounts to ~4 GB. Thus, the VAS on a 32 bit system is 4 GB, of which 2 GB is for the OS Kernel, and 2 GB is allocated to each process. This means that each process can potentially grow up to 2 GB in terms of VAS usage.
/PAE
Stands for Physical Address Extension. Basically, on 32 bit systems, it enables the use of 36 bit pointers (instead of the default 32 bit ones) by utilizing the underlying hardware. Using 36 bit pointers means that we can now use 36 bit addresses as opposed to 32 bit ones, thereby increasing the max memory the OS can "see" to 64 GB (2^36). If you want to utilize more than 4 GB of RAM on a 32 bit server, then you have to use the /PAE switch in the boot.ini OS file.
/3GB
The /3GB switch changes the default break-up of the VAS, giving 3 GB to applications (such as SQL) which are Large Address Aware, and leaving 1 GB for the OS kernel. Keep in mind that setting the /3GB switch means that the OS Kernel can then only "see" up to 16 GB of physical memory. More on the /3GB switch here.
/USERVA
This switch is used to fine tune the VAS usage by applications to between 2 and 3 GB, and is added in the boot.ini as well.
Bpool
Short for Buffer Pool. SQL memory can be divided into 2 parts, BPool and MTL/Non-BPool. The BPool area caters to all memory requests upto 8 KB in size. Since the size of a page in SQL is 8KB, this basically means that all data and index page allocation requests are catered to from the BPool, as are Large Pages. The Max Server Memory setting up to SQL 2008 R2 caps only the BPool area.
MTL/Non-BPool
All requests for memory greater than 8KB are catered to from the MTL/Non-BPool area. This area also includes memory used for COM Objects, CLR Code, Extended Stored Procedures, Large cached plans, etc. Leaks by these non-SQL components can also cause SQL memory usage to bloat and eventually lead to an OOM (Out Of Memory) condition.
AWE
Stands for Address Windowing Extensions. There's a specific set of AWE API's used to allocate AWE memory. This feature has different uses in 32 and 64 bit. AWE can only be used if the account under which SQL Service is running (the "Service Account") has the "Lock Pages in Memory" privilege granted to it in gpedit.msc.
32 bit: In 32 bit systems, enabling AWE basically helps you take advantage of the fact that "fetching from RAM is faster than fetching from Disk". Only if the RAM on the server is greater than the VAS (4 GB) shall SQL be able to utilize AWE. Using the AWE API's, SQL allocates memory, fetches pages (data and index pages only) into RAM, and then maps/unmaps them into the BPool as needed. To put it simply, we create a "window" in the BPool VAS which is used to map/unmap data and index pages stored in the AWE allocated region.
64 bit: If SQL has the Lock Pages in Memory privilege, then it will try and allocate some amount of memory through AWE API's. The benefit is that this memory cannot be paged out by the Operating System as part of a working set trim operation.
The VAS windowing concept does not come into picture here because on 64 bit, we have virtually unlimited VAS.
Please note that the AWE memory is not part of the working set, which is why it will not be a candidate for "working set trimming" by the OS in case of server level memory pressure. This is true for both 32 bit and 64 bit environments.
Memory Architecture
Now we get to the interesting stuff. Let's understand the major components in the SQL Memory architecture:
Memory Node: A memory node is a logical division of memory, mapped on top of a NUMA node. In English, this means that if you have 2 NUMA nodes on your server, there will be 2 memory nodes as well. If you do not have NUMA, then there will be just one memory node.
Memory Allocator: All memory allocation on the memory nodes have to go through memory allocator routines tied to the Memory Nodes. Basically, memory requests to a Memory Node will have to land up with the Memory Allocators in order to be honored. This is because the it's the Memory Allocator routines that know the various types of Windows API's to be called for different kinds of allocation requests. The allocator routines have code for allocating Pages (used for single, multi and large page requests), Virtual allocator, and Shared memory allocator.
The virtual allocator uses VirtualAlloc() and AWE API’s to allocate memory. More about these later in this post. The multi-page allocator also uses the Virtual Allocator to honor requests for multiple pages.
Memory Clerks: The most crucial in the memory architecture perhaps, is the Memory Clerks component. The major memory consumers in SQL have their own memory clerks, and we use the Memory Clerks to track memory usage by component. The memory clerks can be divided into the following categories, based on the larger structures that house them in memory:
When a thread wants memory in SQL, it has to go to the Memory clerks to request for the same. The clerk, in turn, requests the Memory Allocators for memory (it’s not possible for a thread to interface directly with the Allocators). Another thing is that the clerks have functionality built in for responding to memory pressure. The memory allocation can be from:
Let's talk about some specific consumers here:
The Buffer Pool acts as both a memory clerk and consumer because it's optimized for allocating 8K pages as well as managing a cache of 8K pages. What this means is that the Buffer Pool is good at tracking it's own memory consumption, as well as providing single pages to other consumers such as plan cache on demand. It also keeps a track of the pages it provides to other consumers (which shows up as "stolen pages" in DBCC Memorystatus).
So, to sum up, this is what the picture looks like:
Additional Information:
Here are some DMV's that you can use to track the memory architecture components explained above:
sys.dm_os_memory_clerks
Please feel free to play around with these. Do refer to books online for more details on these DMV's.
Hope this post helps. Any comments, suggestions or feedback is welcome.
Anonymous
December 16, 2012
Excellent work Harsh!!! Am sure this will help many folks who work with SQL Server, it covers quite a lot of information to be picked up...!!! Cheers...!!
Anonymous
February 12, 2013
Great article! One aspect of SQL Server memory management which I've found very scant information on is disfavoring of database pages in the buffer pool. For dbcc checkdb to disfavor its pages seems fairly straightforward, but for scans consuming more than 10% of the database cache, this doesn't seem very straightforward. For example, does the decision to disfavor happen before the first reads for the scan? Or are pages 'retro-disfavored' after the 10% threshold is reached? It seems that the 10% threshold is probably of the database cache for the NUMA node local to the scan itself - is that correct?
Thanks!
Anonymous
February 12, 2013
Hi Lonny,
Thanks for appreciating. Can you please elaborate on what you mean by "disfavouring" ? I will be more than happy to research and get back to you on this, as long as I know what you're looking for.
Regards,
Harsh
Anonymous
April 20, 2013
Awesome!! So many questions answered in a cogent manner. The visual representation of the memory allocation/usage is very useful.
Anonymous
April 21, 2013
Hi Vijay,
Many thanks for appreciating the effort. Glad to know you found it useful.
Regards,
Harsh
Anonymous
August 07, 2013
Very good article. Was struggling with the concept of Memory Clerks previously.
Regards,
Gordon.
Anonymous
August 07, 2013
Thanks for appreciating Gordon...!!!
Anonymous
September 13, 2013
Hello Harsh,
In order to prevent large table/index handling from monopolizing the bpool database cache, some operations disfavor the database pages they read, so the they are more quickly retired than other pages. Dbcc checkdb for example disfavours the pages it reads, and rumor has it full scans of tables/indexes larger than 10% of db cache size disfavour (or maybe its 10% of bpool size, or maybe db cache size/bpool size on the individual NUMA node).
Thanks!
Anonymous
September 20, 2013
Hi Lonny,
Thanks for the response. I can confirm that the DBCC Checkdb does not retain pages in the Bpool when its running. This makes sense, because otherwise we'd end up fetching the entire database into memory (the checkdb checks all the pages of the db). So Checkdb fetches pages into memory, performs consistency check operations on them, and then discards them.
As for the other operations, let me check and get back to you.
Cheers,
Harsh
Anonymous
November 02, 2013
Hi Lonny,
I've done some research on the topic, and I can confirm the following:
When SQL needs to load a page into memory, it checks the available memory. If there's enough memory available, it will load the entire extent into memory (which makes it more efficient). If however, you do an operation which requires, say, a full table scan on a table for which sufficient space is not available in memory, SQL will need to discard/remove some pages(read buffers) from memory. To do this, it will take into account 2 things: one, the number of requests a page has been referenced by in the "recent past", and two, the timestamp when a page was last referenced.
Hope this helps.
Regards,
Harsh
Anonymous
November 05, 2013
Hi Harsh,
Thanks for such a wonderful article. Highly Appreciated.
Kindly can you please resolve some of my following doubts:-
It is being said that Buffer Pool only honors single page requests that are <=8 kb. For more than 8 kb MTL is used.
As per the above article it says that dB page cache request for memory from buffer pool which in turn requests from virtual allocator.
So my question is if bpool adheres requests for requests < 8kb then it should be using SIngle Page Allocator, isnt it?
Next doubt
if memoryclerk_sqlbufferpool is our buffer pool, then it should only be having single pages_kb column.
what is the exact need of multi pages_kb , vm reserved and vm committed.
Awaiting Response
Have a good day:)
Anonymous
November 07, 2013
Hi Guest,
Thanks for showing interest in the blog.
For your first question, up to SQL 2008 R2, Bpool "is" the "actual" single page allocator. All single page requests will have to go to the buffer pool to be honored, which is why the single page allocator actually goes to the Bpool, to that the request can be honored.
As for your second question, i believe your questions will be answered by this KB Article:
support.microsoft.com/.../907877
Please email me on harshdeep_singh@hotmail.com if you'd like to take this further.
Thanks,
Harsh
Anonymous
December 27, 2013
Awesome article sir.. really helps..
Anonymous
December 28, 2013
Thanks a lot Rajesh for appreciating.
Anonymous
April 24, 2014
Awesome job!
Anonymous
May 06, 2014
Thanks a lot Pituach...!!!
Anonymous
June 19, 2014
we have a server with 8 NUMA nodes with * SQL instances running. Each SQL server is bound to one NUMA node using TCP port binding. how can you check if the buffer pool memory allocations comes from the corresponding NUMA node it's suppose to be bound to? we are running SQL 2008 R on Windows 2008 R2.When I run
select * from sys.dm_os_memory_clerks where type='MEMORYCLERK_SQLBUFFERPOOL' on those 8 instances all comes up with virtual_memory_commited_KB values on memlory_node_id=1.
Anonymous
June 22, 2014
hi...thanks for showing interest in the blog. You can use the MSSQL$<instancename>:Memory node group of perfmon counters to find the memory allocated locally for each NUMA node. Hope this helps.
Anonymous
September 03, 2014
Excellent Article, Harsh Deep Singh. Hats Off to You.
Anonymous
September 12, 2014
Thanks Gopalakrishnan for your kind words. I am glad to hear you liked the blog. Cheers.
Anonymous
September 18, 2014
Good Article , I had search the lot of article in google but i could not got this type of explanation how memory is work with respect to sql server . You doing as awsome work
Anonymous
October 20, 2014
Thanks a lot Vivek for appreciating...!!! Cheers.
Anonymous
October 28, 2014
Very nice article, I keep visiting your memory related articles frequently. Is it possible for you to update this excellent information for SQL Server 2012 and SQL Server 2014 ? As we have some major changes in memory management module from SQL 2012 onward and it would be great if these articles can be updated.
Anonymous
November 17, 2014
Thank you so much Will for your kind words and for your feedback. I will try to publish another set of blog posts for SQL 2012 and SQL 2014. Thanks.
Anonymous
November 19, 2014
Thank you so much.. very nice article ,This is possible for you to update this excellent information about sqlserver memory management concepts.
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