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  • Ubuntu server 13 hangs on boot

    - by Slava Fomin II
    I formatted my WD30EFRX 3TB SATA HDD as GPT with the following layout: 200 MB FAT32 (BOOTABLE) 50GB EXT4 (Mount point: /) 4 GB SWAP SPACE ~2.9 TB EXT4 (with no mount point) Then i created a Flash USB using Rufus 1.3.3 and the following ISO-image: ubuntu-13.04-server-amd64.iso. I used following configuration to create the USB: GPT partition scheme for UEFI computer FAT32 (16KB) I successfully booted from this USB on my Intel D510MO motherboard in UEFI mode (there were a black and white boot loader menu instead of a colorful GUI) and installed the OS. During the boot loader installation i saw it was grub-efi-amd64 as it must be. After installation i removed the flash drive and tried to boot the system, but just after a BIOS POST it hangs (there is a white blinking cursor at the left top corner of the black screen) and nothing happens. UEFI Mode is enabled in the BIOS configuration and i've updated the BIOS to the latest firmware. What went wrong, how i can confirm that system was installed properly? How can i boot the OS?

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  • XUbuntu 12.04 sound becomes distorted on ASUS-computers

    - by Slava Fomin II
    On my XUbuntu 12.04 Desktop from time to time audio becomes distorted, not the audio from some specific applications but every possible sounds are very noisy and barely recognizable. Then i go to: Applications Menu Multimedia PulseAudio Volume Control "Configuration"-tab and change Built-in Audio's Profile from my current profile to something else. After that audio becomes normal, until it breaks again and i have to repeat these steps. It's happening on two different computers: one is an ASUS-based Desktop and other is ASUS notebook. Maybe it's related to some common motherboard audio components. Motherboard is: ASUS P8P67 EVO REV 3.0 Netbook is: ASUS EEPC VX6 Any help will be much appreciated = )

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  • XUbuntu won't boot

    - by Slava Fomin II
    I can't properly boot my XUbuntu desktop. It just hangs on the console without any visible errors. The only way i can boot it properly is choosing "recovery mode" in GRUB and then selecting "continue booting" in recovery menu. It's really annoying. I provide some logs here: http://www.sendspace.com/filegroup/mQ%2FzdWvVcrjB3dz4vVqjsw Please advise! If you need some additional information i will be glad to provide it. Any hints and support will be much appreciated.

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  • two computers on same network cannot ping eachother nor view NetBios resources

    - by slava
    I'd like to find out the problem of my network configuration I have network configuration is like in this diagram: The problem is between laptop1 and laptop2. At first I thought it was samba server problem. I was configuring samba server on one of the laptops and I wasn't able to access the shares from the second laptop no matter what I was doing. After installing/removing/configuring samba-server a couple of times I realized that the problem resides somewhere else. Laptop configurations: - Laptop1: ubuntu 12.04 - Laptop2: Windows 7/ ubuntu 12.04 ( dual boot ) - Server : ubuntu 12.04 When I do "ping 192.168.0.10" from laptop2, I get "Destination host unreachable". The same situation is when I ping in other direction. When I access Laptop1 shares from Laptop2, having windows 7 loaded, I get the error message: "Error code: 0x80070035 The network path was not found." When I ping "server" or "router" or "wifi router" from any of laptops I get a reply. The same with windows shares, I am able to access "server"s shares from Windows and Ubuntu, from any of my laptops. Netbios can't function correctly, that's obvious, I am unable to access windows shares between laptops. I assume that on "wifi router" is a miss-configuration, but I can't find what specifically. The "Wifi router" works as Hub + wifi, it is connected to "router" not in WAN port but in LAN1. Please, help me correctly configure the router to make them see each-other, or at least make NetBios work correctly, between laptops, to be able to access windows shares. Thanks!

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  • Single-port 2600 router with 2900XL switch

    - by Slava Maslennikov
    I have a setup, where the single port 2600 router is in port 0/2 in the switch, outside network is on port 0/1, and the rest (0/3-0/24) should be clients for the second network that would be managed by the 2600 router. I configured everything with two VLANs: 100 for outside (0/2-0/24), 200 for inside (0/1-0/2). 0/2 is a trunk port for the two VLANs. The issue that came about is that I can't have two VLANs on at once: software doesn't allow it. Now, I can ping the outside network devices (172.16.7.1, 172.16.7.103), and even google (8.8.8.8) from the router, but not the switch. Devices on connected get a DHCP lease properly but can't ping outside the network, just the router - 172.17.7.1 and the switch itself, 172.17.7.7. The configuration for both the router and the switch are here, as well as below. Router: rt.throom#sho run Building configuration... Current configuration : 1015 bytes ! version 12.1 no service single-slot-reload-enable service timestamps debug uptime service timestamps log uptime no service password-encryption ! hostname rt.throom ! enable password To053cret ! ! ! ! ! no ip subnet-zero ip dhcp excluded-address 172.17.7.1 172.17.7.2 ip dhcp excluded-address 172.17.7.3 172.17.7.4 ip dhcp excluded-address 172.17.7.5 ! ip dhcp pool VLAN200 network 172.17.7.0 255.255.255.0 default-router 172.17.7.1 dns-server 8.8.8.8 ! ip audit notify log ip audit po max-events 100 ! ! ! ! ! ! ! interface Ethernet0/0 no ip address ! interface Ethernet0/0.100 encapsulation dot1Q 100 ip address 172.16.7.15 255.255.255.0 ip nat outside ! interface Ethernet0/0.200 encapsulation dot1Q 200 ip address 172.17.7.1 255.255.255.0 ip nat inside ! router eigrp 20 network 172.16.0.0 network 172.17.0.0 no auto-summary no eigrp log-neighbor-changes ! no ip classless no ip http server ! access-list 1 permit 172.17.7.0 0.0.0.255 ! ! line con 0 line aux 0 line vty 0 4 login ! end Switch: sw.throom#sho run Building configuration... Current configuration: ! version 11.2 no service pad no service udp-small-servers no service tcp-small-servers ! hostname sw.throom ! enable password Oh5053cret ! ! no spanning-tree vlan 100 no spanning-tree vlan 200 ip subnet-zero ! ! interface VLAN1 no ip address no ip route-cache ! interface FastEthernet0/1 switchport access vlan 100 spanning-tree portfast ! interface FastEthernet0/2 switchport trunk encapsulation dot1q switchport mode trunk ! interface FastEthernet0/3 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/4 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/5 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/6 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/7 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/8 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/9 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/10 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/11 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/12 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/13 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/14 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/15 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/16 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/17 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/18 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/19 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/20 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/21 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/22 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/23 switchport access vlan 200 spanning-tree portfast ! interface FastEthernet0/24 switchport access vlan 200 spanning-tree portfast ! ! line con 0 stopbits 1 line vty 0 4 login line vty 5 9 login ! end sho ip route gives: Gateway of last resort is 172.16.7.1 to network 0.0.0.0 172.17.0.0/24 is subnetted, 1 subnets C 172.17.7.0 is directly connected, Ethernet0/0.200 172.16.0.0/24 is subnetted, 1 subnets C 172.16.7.0 is directly connected, Ethernet0/0.100 S* 0.0.0.0/0 [1/0] via 172.16.7.1

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  • Get class of caller's method (via inspect) in Python (alt: super() emulator)

    - by Slava Vishnyakov
    Is it possible to get reference to class B in this example? class A(object): pass class B(A): def test(self): test2() class C(B): pass import inspect def test2(): frame = inspect.currentframe().f_back cls = frame.[?something here?] # cls here should == B (class) c = C() c.test() Basically, C is child of B, B is child of A. Then we create c of type C. Then the call to c.test() actually calls B.test() (via inheritance), which calls to test2(). test2() can get the parent frame frame; code reference to method via frame.f_code; self via frame.f_locals['self']; but type(frame.f_locals['self']) is C (of course), but not B, where method is defined. Any way to get B?

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  • super() in Python 2.x without args

    - by Slava Vishnyakov
    Trying to convert super(B, self).method() into a simple nice bubble() call. Did it, see below! Is it possible to get reference to class B in this example? class A(object): pass class B(A): def test(self): test2() class C(B): pass import inspect def test2(): frame = inspect.currentframe().f_back cls = frame.[?something here?] # cls here should == B (class) c = C() c.test() Basically, C is child of B, B is child of A. Then we create c of type C. Then the call to c.test() actually calls B.test() (via inheritance), which calls to test2(). test2() can get the parent frame frame; code reference to method via frame.f_code; self via frame.f_locals['self']; but type(frame.f_locals['self']) is C (of course), but not B, where method is defined. Any way to get B?

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  • Get class of caller's method (via inspect) in Python; or: super(Class,self).method() replacement wit

    - by Slava Vishnyakov
    Is it possible to get reference to class B in this example? class A(object): pass class B(A): def test(self): test2() class C(B): pass import inspect def test2(): frame = inspect.currentframe().f_back cls = frame.[?something here?] # cls here should == B (class) c = C() c.test() Basically, C is child of B, B is child of A. Then we create c of type C. Then the call to c.test() actually calls B.test() (via inheritance), which calls to test2(). test2() can get the parent frame frame; code reference to method via frame.f_code; self via frame.f_locals['self']; but type(frame.f_locals['self']) is C (of course), but not B, where method is defined. Any way to get B?

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  • What are the elegant ways to do MixIns in Python?

    - by Slava Vishnyakov
    I need to find an elegant way to do 2 kinds of MixIns. First: class A(object): def method1(self): do_something() Now, a MixInClass should make method1 do this: do_other() - A.method1() - do_smth_else() - i.e. basically "wrap" the older function. I'm pretty sure there must exist a good solution to this. Second: class B(object): def method1(self): do_something() do_more() In this case, I want MixInClass2 to be able to inject itself between do_something() and do_more(), i.e.: do_something() - MixIn.method1 - do_more(). I understand that probably this would require modifying class B - that's ok, just looking for simplest ways to achieve this. These are pretty trivial problems and I actually solved them, but my solution is tainted. Fisrt one by using self._old_method1 = self.method1(); self.method1() = self._new_method1(); and writing _new_method1() that calls to _old_method1(). Problem: multiple MixIns will all rename to _old_method1 and it is inelegant. Second MixIn one was solved by creating a dummy method call_mixin(self): pass and injecting it between calls and defining self.call_mixin(). Again inelegant and will break on multiple MixIns.. Any ideas?

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  • Get class of caller's method (via inspect) in Python

    - by Slava Vishnyakov
    Is it possible to get reference to class B in this example? class A(object): pass class B(A): def test(self): test2() class C(B): pass import inspect def test2(): frame = inspect.currentframe().f_back cls = frame.[?something here?] # cls here should == B (class) c = C() c.test() Basically, C is child of B, B is child of A. Then we create c of type C. Then the call to c.test() actually calls B.test() (via inheritance), which calls to test2(). test2() can get the parent frame frame; code reference to method via frame.f_code; self via frame.f_locals['self']; but type(frame.f_locals['self']) is C (of course), but not B, where method is defined. Any way to get B?

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  • Set focus to textbox after alert in Safari

    - by Slava
    I'm trying to return focus to the textbox after showing message. Like the following code: <input type="text" id="text1" /> <input type="submit" id="submit1" onclick="alert('test');document.getElementById('text1').focus();return false;" /> It's not working in Safari. I've got version 4.0.5 for Windows.

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  • Current wisdom on SQL Server and Hyperthreading?

    - by BradC
    Lots of articles out there (see Slava Oks's original SQL 2000 article and Kevin Kline's SQL 2005 update) recommend disabling hyperthreading on SQL servers, or at least testing your specific workload before enabling it on your servers. This issue is gradually becoming less relevant as true multi-core processors replace hyperthreaded ones, but what's the current wisdom on this issue? Does this advice change any with SQL 2005 64-bit, or SQL 2008, or Windows Server 2008? Ideally, this should be tested in advance in a staging environment, but what about for servers that have already made it into production with HT enabled? How can I tell if performance issues we're experiencing might be related to HT? Is there some specific combination of perfmon counters that might point me in that direction, as opposed to all the other things I normally pursue when working on improving SQL performance? Edit: This is especially attractive because of the potential for an across the board improvement for some of my high-cpu servers, but the client is going to want to see something concrete that helps me identify which servers really could benefit from disabling hyperthreading. Of course, conventional performance troubleshooting is ongoing, but sometimes any little bit helps.

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  • Better documentation for tasks waiting on resources

    - by SQLOS Team
    The sys.dm_os_waiting_tasks DMV contains a wealth of useful information about tasks waiting on a resource, but until now detailed information about the resource being consumed - sys.dm_os_waiting_tasks.resource_description - hasn't been documented, apart from a rather self-evident "Description of the resource that is being consumed."   Thanks to a recent Connect suggestion this column will get more information added. Here is a summary of the possible values that can appear in this column - Note this information is current for SQL Server 2008 R2 and Denali:   Thread-pool resource owner:•       threadpool id=scheduler<hex-address> Parallel query resource owner:•       exchangeEvent id={Port|Pipe}<hex-address> WaitType=<exchange-wait-type> nodeId=<exchange-node-id> Exchange-wait-type can be one of the following.•       e_waitNone•       e_waitPipeNewRow•       e_waitPipeGetRow•       e_waitSynchronizeConsumerOpen•       e_waitPortOpen•       e_waitPortClose•       e_waitRange Lock resource owner:<type-specific-description> id=lock<lock-hex-address> mode=<mode> associatedObjectId=<associated-obj-id>               <type-specific-description> can be:• For DATABASE: databaselock subresource=<databaselock-subresource> dbid=<db-id>• For FILE: filelock fileid=<file-id> subresource=<filelock-subresource> dbid=<db-id>• For OBJECT: objectlock lockPartition=<lock-partition-id> objid=<obj-id> subresource=<objectlock-subresource> dbid=<db-id>• For PAGE: pagelock fileid=<file-id> pageid=<page-id> dbid=<db-id> subresource=<pagelock-subresource>• For Key: keylock  hobtid=<hobt-id> dbid=<db-id>• For EXTENT: extentlock fileid=<file-id> pageid=<page-id> dbid=<db-id>• For RID: ridlock fileid=<file-id> pageid=<page-id> dbid=<db-id>• For APPLICATION: applicationlock hash=<hash> databasePrincipalId=<role-id> dbid=<db-id>• For METADATA: metadatalock subresource=<metadata-subresource> classid=<metadatalock-description> dbid=<db-id>• For HOBT: hobtlock hobtid=<hobt-id> subresource=<hobt-subresource> dbid=<db-id>• For ALLOCATION_UNIT: allocunitlock hobtid=<hobt-id> subresource=<alloc-unit-subresource> dbid=<db-id> <mode> can be:• Sch-S• Sch-M• S• U• X• IS• IU• IX• SIU• SIX• UIX• BU• RangeS-S• RangeS-U• RangeI-N• RangeI-S• RangeI-U• RangeI-X• RangeX-S• RangeX-U• RangeX-X External resource owner:•       External ExternalResource=<wait-type> Generic resource owner:•       TransactionMutex TransactionInfo Workspace=<workspace-id>•       Mutex•       CLRTaskJoin•       CLRMonitorEvent•       CLRRWLockEvent•       resourceWait Latch resource owner:•       <db-id>:<file-id>:<page-in-file>•       <GUID>•       <latch-class> (<latch-address>)   Further Information Slava Oks's weblog: sys.dm_os_waiting_tasks.Informit.com: Identifying Blocking Using sys.dm_os_waiting_tasks - Ken Henderson   - Guy

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  • The clock hands of the buffer cache

    - by Tony Davis
    Over a leisurely beer at our local pub, the Waggon and Horses, Phil Factor was holding forth on the esoteric, but strangely poetic, language of SQL Server internals, riddled as it is with 'sleeping threads', 'stolen pages', and 'memory sweeps'. Generally, I remain immune to any twinge of interest in the bowels of SQL Server, reasoning that there are certain things that I don't and shouldn't need to know about SQL Server in order to use it successfully. Suddenly, however, my attention was grabbed by his mention of the 'clock hands of the buffer cache'. Back at the office, I succumbed to a moment of weakness and opened up Google. He wasn't lying. SQL Server maintains various memory buffers, or caches. For example, the plan cache stores recently-used execution plans. The data cache in the buffer pool stores frequently-used pages, ensuring that they may be read from memory rather than via expensive physical disk reads. These memory stores are classic LRU (Least Recently Updated) buffers, meaning that, for example, the least frequently used pages in the data cache become candidates for eviction (after first writing the page to disk if it has changed since being read into the cache). SQL Server clearly needs some mechanism to track which pages are candidates for being cleared out of a given cache, when it is getting too large, and it is this mechanism that is somewhat more labyrinthine than I previously imagined. Each page that is loaded into the cache has a counter, a miniature "wristwatch", which records how recently it was last used. This wristwatch gets reset to "present time", each time a page gets updated and then as the page 'ages' it clicks down towards zero, at which point the page can be removed from the cache. But what is SQL Server is suffering memory pressure and urgently needs to free up more space than is represented by zero-counter pages (or plans etc.)? This is where our 'clock hands' come in. Each cache has associated with it a "memory clock". Like most conventional clocks, it has two hands; one "external" clock hand, and one "internal". Slava Oks is very particular in stressing that these names have "nothing to do with the equivalent types of memory pressure". He's right, but the names do, in that peculiar Microsoft tradition, seem designed to confuse. The hands do relate to memory pressure; the cache "eviction policy" is determined by both global and local memory pressures on SQL Server. The "external" clock hand responds to global memory pressure, in other words pressure on SQL Server to reduce the size of its memory caches as a whole. Global memory pressure – which just to confuse things further seems sometimes to be referred to as physical memory pressure – can be either external (from the OS) or internal (from the process itself, e.g. due to limited virtual address space). The internal clock hand responds to local memory pressure, in other words the need to reduce the size of a single, specific cache. So, for example, if a particular cache, such as the plan cache, reaches a defined "pressure limit" the internal clock hand will start to turn and a memory sweep will be performed on that cache in order to remove plans from the memory store. During each sweep of the hands, the usage counter on the cache entry is reduced in value, effectively moving its "last used" time to further in the past (in effect, setting back the wrist watch on the page a couple of hours) and increasing the likelihood that it can be aged out of the cache. There is even a special Dynamic Management View, sys.dm_os_memory_cache_clock_hands, which allows you to interrogate the passage of the clock hands. Frequently turning hands equates to excessive memory pressure, which will lead to performance problems. Two hours later, I emerged from this rather frightening journey into the heart of SQL Server memory management, fascinated but still unsure if I'd learned anything that I'd put to any practical use. However, I certainly began to agree that there is something almost Tolkeinian in the language of the deep recesses of SQL Server. Cheers, Tony.

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  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

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