Author Archives: Wes Brown

About Wes Brown

Wes Brown is Vice President at Cantata Health and maintains his blog at http://www.sqlserverio.com. Previous experiences include Product Manager for SQL Litespeed by Quest software and consultant to fortune 500 companies. He specializes in high availability, disaster recovery and very large database performance tuning. He is a frequent speaker at local user groups and SQLSaturdays.

Understanding File System IO, Lessons Learned From SQL Server

I do more than just SQL Server. I enjoy programming. In my former life I have worked with C/C++ and Assembler. As I spent more and more time with SQL Server my programming took a back seat career wise. Having that background though really helps me day in and day out understanding why SQL Server does some of the things it does at the system level.

Fast forward several years and I’ve moved away from C/C++ and spent the last few years learning C#.

Now that I work mostly in C# I do look up solutions for my C# dilemmas on sites like http://www.codeplex.com and http://www.codeproject.com. I love the internet for this very reason, hit a road block do a search and let the collective knowledge of others speed you on your way. But, it can be a trap if you don’t do your own homework.

I write mostly command line or service based tools these days not having any real talent for GUI’s to speak of. Being a person obsessed with performance I build these things to be multi-threaded, especially with today’s computers having multiple cores and hyper threading it just makes since to take advantage of the processing power. This is all fine and dandy until you want to have multiple threads access a single file and all your threads hang out waiting for access.

So, I do what I always do, ask by best friend Google what the heck is going on. As usual, he gave me several quality links and everything pointed to the underlying file not being set in asynchronous mode. Now having done a lot of C++ I knew about asynchronous IO, buffered and un-buffered. I could have made unmanaged code calls to open or create the file and pass the safe handle back, but just like it sounds it is kind of a pain to setup and if you are going down that path you might as well code it all up in C++ anyway.

Doing a little reading on MSDN I found all the little bits I needed to set everything to rights. I set up everything to do asynchronous IO and I started my test run again. It ran just like it had before slow and painful. Again, I had Mr. Google go out and look for a solution for me, sometimes being lazy is a bad thing, and he came back with several hits where people had also had similar issues. I knew I wasn’t the only one! The general solution? Something I consider very, very .Net, use a background thread and a delegate to keep the file access from halting your main thread, so your app “feels” responsive. It is still doing synchronous IO. Your main thread goes along but all file access is still bottle-necked on a single reader/writer thread. Sure, it solves the issue of program “freezing” up on file access but doesn’t really solve the problem of slow file access that I am really trying to fix.

I know that SQL Server uses asynchronous un-buffered IO to get performance from the file system. I did some refresh reading on the MSDN site again and struck gold. Writes to the file system may OR may not be asynchronous depending on several factors. One of which is, if the file must be extended everything goes back to synchronous IO while it extends the file. Well, since I was working with a filestream and a newly created file every time I was pretty much guaranteeing that I would be synchronous no matter what. At this point I dropped back to C++. I started to code it up when I realized I was doing things differently in my C++ version.

I was manually creating the file and doing an initial allocation growing it out to the size the file buffer and the file length on close if need be.

I started up my C++ version of the code and watched all the IO calls using Sysinternal’s Process Monitor. I watched my C++ version, and lo, it was doing asynchronous IO in the very beginning then switching to synchronous IO as the file started growing. I fired up my instance of SQL Server and watched as the asynchronous IO trucked right along…. until a file growth happened and everything went synchronous for the duration of the growth.

AH HA!

So, taking that little extra knowledge I manually created my file in C# set an initial default size and wouldn’t you know asynchronous IO kicked right in until it had to grow the file. I had to do a little extra coding watching for how much free space was in the file when I get close I now pause any IO,  manually the file by some amount and then start up the writes again keeping things from going into a synchronous mode without me knowing.

So, there you go my little adventure and how my old skills combined with knowing how  SQL Server works helped me solve this problem. Never assume that your new skills and old skills won’t overlap.

Found a Bug in SQL Server 2005

It doesn’t happen often but every once in a while you may be the lucky person to find a previously unknown bug in SQL Server.

It was a normal morning for me, checking the status of our servers going over any failure messages waiting for the day to ramp up. That’s when one of our lead developers came around the corner and told me he had an error when he had tried to create an index on a table he was working on. The more he tried to explain the error the more I started to worry. I had him send me the code and the error statement.

Location:     BtreeMgr.cpp:5372

Expression:   bufferLen > currOffset + ACCESSSOR_OVERHEAD

SPID:         116

Process ID:   5016

Msg 3624, Level 20, State 1, Line 2

A system assertion check has failed. Check the SQL Server error log for details. Typically, an assertion failure is caused by a software bug or data corruption. To check for database corruption, consider running DBCC CHECKDB. If you agreed to send dumps to Microsoft during setup, a mini dump will be sent to Microsoft. An update might be available from Microsoft in the latest Service Pack or in a QFE from Technical Support.

Msg 0, Level 20, State 0, Line 0

A severe error occurred on the current command.  The results, if any, should be discarded.

I had what we like to call in the high availability space a “pucker moment”. This wasn’t your normal, I typed something wrong and got an error, kind of problem. This was a real SEV 20 with an assert, the core engine had just puked on something it shouldn’t have.

Like all good DBA’s the first thing I did was run a DBCC on the database this error was generated from.

While that was going on I asked my very good friend, Google, if he had seen this particular assert before. For the first time in a very long time Google failed me! In the last few years if I hit this kind of hard error someone else has too and it is ether being fixed in a hot fix or addressed in the next version of SQL Server, but not this time.

So, we have this same schema on another server and the developer tried the exact same code there and had the exact same error.

I had him document the steps he took to get to this point and to his credit the steps were clear, concise and easily reproducible.

The DBCC finished with zero problems detected, which let me calm down a bit. That coupled with the fact it looked like I had a repeatable test case When the second database had cleared the DBCC I set about my task of reproducing the error and trying to find a work around. Lucky for us it was a simple matter of column organization in the index and we were able to apply it successfully and carry on with life.

I bundled up the documentation I had accumulated, ran the test case confirmed the bug and sent it off to the powers that be at Microsoft. Since we had a work around and it wasn’t a show stopper I didn’t raise it as a critical server down issue but Microsoft still worked it in a timely fashion.

So, what was the problem you say? It was an interesting edge condition.

We have a table that contains a composite primary key and the rest is made up of bit fields, a flag table.

We had to add a new column, another bit flag, to the table.

The non-clustered covering index was dropped the column was added to the end of the table.

The index was updated with the new column at the end of the column list and then *POOF* it blew up.

I think it has to do with two specific things.

First, bit fields are stored in a compact manor where multiple bits share a byte and aren’t truly separate from every other but field. It would be a huge waste of space to store each bit in it’s own byte but it would make things like this index issue less likely to happen.

Secondly we did a column add but didn’t drop and recreate the table repopulating it in the process so things at the page level weren’t nice and neat. The underlying clustered index wasn’t effected but when we tried to add an index back with the new field it couldn’t do it. The fix was simple, change the column order in the non-clustered index moving the new column up one. We verified the data without the index was correct and with the index was correct.

I haven’t tried it yet, but I am betting included columns won’t suffer the assert ether since the items don’t have to be sorted in the index.

So there you go! Having been on the software side of things a couple of times I always find it interesting when I find bugs in others products and work the issue to conclusion.

What is your take away from all of this? Never be afraid to submit a bug report to Microsoft. I have heard people say to the effect someone else will or has hit the bug and they will submit it. DON’T RELY ON THE ACTIONS OF OTHERS! Reporting bugs helps the community as a whole and makes the product better. When you assume someone else is worked it you are putting YOUR production servers in the hands of strangers. If someone has submitted it and it didn’t turn up in a search they will let you know, and be very kind about it to boot. You will get piece of mind that it is being worked on and it is a bug, or that you may keep someone else from stumbling onto this and not having the knowledge to fix it or work around it.

Wes

So, what book do you recommend?

Another excellent blogger here on SSC, Jeffery Yao, has posted up an interesting idea  http://www.sqlservercentral.com/blogs/jeffrey_yao/archive/2009/04/20/database-administration-literature-criticism.aspx .

As a PASS chapter leader I often get asked the question, What book do you recommend for SQL Server? Several years ago you could recommend a single book to cover ALL SQL Server topics in depth.

Today you really need to ask specifically what topic you are trying to learn about, and if you are just starting, a seasoned pro trying to learn more or updating your skills to the next platform.

When I start looking for a book on a topic I start with authors I know and see if they have written on the subject. If that fails me I usually fall back to Amazon and read reviews there. But that is rarely the last step I have to take.

At some point I drive down to the old brick and mortar store and spend hours walking, reading and eventually buying something.

There is another option I’m trying to leverage, book giveaways at the user groups. I have given away a few books at the chapter meetings but this year I’m trying to be a little more proactive about getting training materials together to help out those looking for work or may be soon.

One of the things I plan on doing is getting everyone that gets a book to write a little review and maybe do a little presentation about it so we can share it with the group, and the SQL Server community as a whole.

I’m also trying to read every book that comes through the door, I don’t know if I’ll be able to before they go up as giveaways, but my intention is to try. The reason is two fold, one I can brush up on stuff I don’t use every day and help write reviews for the members that choose to participate in the review process.

 

So, the list of authors I read and recommend come in two flavors, technically sound and great communicators. I’ve gone back to these authors and their books time and time again. I’m sure there are a ton of other good authors, some I have read and missed and others that have written on technologies I personally don’t use regularly.

I will follow up this list with some specific books for 2005/2008 in the near future, covering what is on my book shelf that I have read and recommended to others.

 

Until then… The Short List:

Joe Celko

Kalen Delaney

Kimberly L. Tripp

Itzik Ben-Gan

Kevin Kline

Louis Davidson

Brian Knight

Robert Vieira

SSD, The Game Changer

I’ve often described SQL Server to people new to databases as a data pump.

Just like a water pump, you have limited capacity to move water in or out of a system usually measured in gallons per hour.
If you want to upgrade your pumping systems it can be a two fold process, the physical pump and the size of the pipes.

Our database servers also have several pumps and pipes, and in general you are only as fast as your slowest or narrowest pipe, hard drives.

To feed other parts of the system we have resorted to adding lots and lots of hard drives to get the desired IO read/writes and MB/sec throughput that a single server can consume.
Everyone is familiar with Moore’s law (Often quoted, rarely understood) loosely applied says CPU transistor counts double roughly every 24 months. Hard disks haven’t come close to keeping up with that pace, performance wise.

Up until recently, hard drive capacity has been growing almost at the same rate doubling in size around every 18 months (Kryder’s Law). The problem isn’t size is speed.

Lets compare the technology from what may have been some folks first computer to the cutting edge of today.

Time Circa 1981 Today improvement
Capacity 10MB 1470MB 147x
HDD Seeks 85ms/seek 3.3ms/seek 20x
IO/Sec 11.4 IO/Sec 303 IO/Sec 26x
HDD Throughput 5mbit/sec 1000mbit/sec 200x
CPU Speed 8088 4.77Mhz (.33 MIPS) Core i7 965(18322 MIPS) 5521x

*These are theoretical maximums in the real world you mileage may vary.

 

I think you can see where this is going. I won’t go any further down memory lane lets just say that some things haven’t advanced as fast as others. As capacity has increased the speed has been constrained by the fact hard disks are just that, spinning disks.

So, what does this little chart have anything to do with SSD? I wanted you to get a feel of where the real problem lies. It isn’t capacity of hard drives it’s the ability to get to the data quickly. Seeks are the key. SSD’s have finally crossed a boundary where they are cheap enough and fast enough to make it into the enterprise space at all levels.

SSD compared to today’s best 15k.2 HDD from above.

  HDD SSD improvement
seek times 3.3ms/seek 85μs/seek 388x
IO/Sec 303 IO/Sec 35000 IO/Sec 115x
Throughput 1000mbit/sec 25000mbit/sec 2.5x

 

So, in the last few years SSD has caught up and passed HDD on the performance front by a large margin. This is comparing a 2.5” HDD to a 2.5” SSD. This gap is even wider if you look at the new generation of SSD’s that plug directly into the PCIe bus and bypass the drive cage and RAID controller all together. HOT DOG! Now we are on track. SSD has allowed us to scale much closer to the CPU than anything storage wise we have seen in a very long time.

Since this is a fairly new emerging technology I often see allot of confused faces when talking about SSD. What is in the technology and why it has now become cost effective to deploy it instead of large raid arrays?

Once you take out the spinning disks, the memory and IO controller march much more to the tune of Moore’s law than Kryder’s meaning cost goes down, capacity AND speed go up. Eventually there will be an intersection where some kind of solid state memory, maybe NAND maybe not, will reach parity with spinning hard drives.

But, like hard drives not all SSD’s are on the same playing field, just because it has SSD printed on it doesn’t make it a slam dunk to buy.

Lets take a look at two implementations of SSD based on MLC NAND. I know some of you will be saying why not SLC? I’m doing this to get a better apples to apples comparison and to put this budget wise squarely in the realm of possibility.

 

Intel x25-M priced at 750.00 for 160GB in a 2.5” SATA 3.0 form factor and the Fusion-io IoDrive Duo 640GB model priced at 9849.99 in a PCIe 8x single card.

Drive Capacity in GB Write Bandwidth Read Bandwidth Reads/sec Writes/Sec Access Latency (seek time) Wear Leveling
(writes-erase/day)
Cost per Unit Cost per GB Cost per IO Reads Cost Per IO Writes
IoDrive Duo 640 1000MB 1400MB 126601 180530 80μs 5TB $9849.99 $15.39 $0.08 $0.06
X25-M 160 70MB 250MB 35000 3300 85μs 100GB * $750.00 $4.60 $0.02 $0.22
Improvement 4x 14x 5x 4x 55x ~ 10x 13x 4x 4x -4x

* This is an estimate based on this article http://techreport.com/articles.x/15433. Intel has stated the drive should be good for at least 1 petabyte in write operations or 10,000 cycles.

 

Both of these drives use similar approaches to achieve the speed an IO numbers.They break up the NAND into multiple channels like a very small RAID array. This is an over simplification but gives you an idea of how things are changing. It is almost like having a bunch of small drives crammed into a single physical drive shell with it’s own controller a mini-array if you will.

So, not all drives are created equal. In Intel’s defense they don’t plan the X25-M to be an enterprise drive, they would push you to their X25-E which is an SLC based NAND device which is more robust in every way. But keeping things equal is what I am after today.

To get the X25-M to the same performance levels it could take as few as 4 drives and as many as 55 depending on the IO numbers you are trying to match on the IoDrive Duo.

Wear leveling is my biggest concern on NAND based SSD’s. We are charting new water and really won’t know what the reliability numbers are until the market is aged another 24 to 36 months. You can measure your current system to see how much writing you actually do to disk and get a rough estimate on the longevity of the SSD. Almost all of them are geared for 3 to 5 years of usability until the croak.

At a minimum it would take 10 X25-M drives to equal the stated longevity of a single IoDrive Duo.

Things also start to level out once you factor in RAID controllers and external enclosures if you are going to overflow the internal bays on the server. That can easily add another $3000.00 to $5000.00 dollars to the price. All the sudden the IoDrive Duo really starts looking more appealing by the minute.

 

What does all this mean?

Not all SSD’s are created equal. Being constrained to SATA/SAS bus and drive form factors can also be a real limiting factor. If you break that mold the benefits are dramatic.

Even with Fusion-io’s cost per unit it, is still pretty cost effective in some situations like write heavy OLTP systems, over other solutions out there.

I didn’t even bother to touch on something like Texas Memory System’s RamSan devices at $275000.00 for 512GB of usable space in a 4U rack mount device the cost per GB or IO is just through the roof and hard to justify for 99% of most SQL Server users.

You need to look closely at the numbers, do in house testing and make sure you understand your current IO needs before you jump off and buy something like this. It may be good to also look at leveraging SSD in conjunction with your current storage by only moving data that requires this level of performance to keep cost down.

If this article has shown you anything it’s technology marches on. In the next 6 to 12 months there will be a few more choices on the market for large SSD’s in the 512GB to 2TB range by different manufacturers at ranging prices making the choice to move to SSD even easier.

Recently, Microsoft Research in early April published a paper where they examined SSD and enterprise workloads. They don’t cover SQL Server explicitly but they do talk about Exchange. The conclusion is pretty much SSD is too expensive to bother with right now. To agree and disagree with them it was true several months ago, today not so much.

The fact that the landscape has change significantly since this was published and will continue to do so, I think we are on the verge of why not use SSD instead of do we really need it.

With that said please, do your homework before settling on a vendor or SSD solution, it will pay dividends in not having to explain to your boss that the money invested was wasted dollars.

A little light reading for you:

SSD Primer
http://en.wikipedia.org/wiki/Solid-state_drive

James Hamilton’s Blog
http://perspectives.mvdirona.com/2009/04/12/WhereSSDsDontMakeSenseInServerApplications.aspx

 

-Wes

You thought SQL Server ate up memory…

Often I tell clients better to much memory than too little. This can be applied to any database engine essentially. If your data set is growing over time you will end up using any memory that is not consumed today.

I’m here to tell you I don’t think it is the biggest consumer of memory in the Microsoft software catalog, There is a new champion! Introducing in this corner SQL Server 2008 x64, and his opponent Exchange 2007 SP1!

It isn’t even a contest, Exchange by a knock out.

The Exchange team have made some major changes in the core engine to blow the lid of how much memory it will use.

One of the things I remind people of from time to time is that Exchange is also a database of sorts and shares some of the common performance bottlenecks that SQL Server has. As a matter of fact, I saw the magic of sector alignment for file systems flogged on the Exchange side of the house long before it became more common knowledge on SQL Server. Now they have leapfrogged us again.

I live and breath SQL Server but I also dabble in other Microsoft stuff time to time mostly out of need or curiosity. This particular instance, I was setting up exchange for my private business.

Basically what they have done is make Exchange a 64 bit only application and lifted any memory restrictions on it what so ever. So, if there is 8GB on the server it will start up and gobble up that memory like it was cotton candy and happily beg for more. This was kind of a shocker to me, a SQL Server administrator who is use to having boxes with 32GB of ram or more for SQL Server and not see it utilized until the database engine has determined that it needs a particular piece of data cached in memory.

Where Exchange differs it assumes, from what I can glean, that it will need EVERY piece of data (i.e. peoples mail) at some point so it might as well load as much as it can now.

Now I can hear you saying “So what? Exchange should run on it’s own server anyway.” and you would be right, kind of. I host my enterprise stack on a single machine running Hyper-V Server. Realize this machine only has to support about 10 users so I sized it at 2 quad core Xeons, and 16 GB of ram initially, knowing I could grow the memory as needed or even move virtual machines off onto a new server with very little pain. Microsoft and others are touting this as the way of the future, no better way to learn about it than by doing.

I assumed since I was only running a few mail boxes that Exchange wouldn’t need all that extra ram and I could give it to my SQL Server instance. Boy, was I wrong. So, I gave it the minimum 2GB it states in the requirements. I soon discovered that was like running Vista on 512MB of ram, sure you could do it if you didn’t mind going and getting a sandwich every time you clicked the mouse button.

I thought to myself “WOW, this thing is a real pig!” I looked at the size of all my data stores, a paltry 758MB, and wondered why 2GB wasn’t enough. As I type this I’m still not sure but I found a work around. Where in SQL Server you can easily tell it don’t dominate the memory by setting the min and the max available to it Exchange has no easy way (in the GUI) to do this. I eventually found a registry setting for how much memory the store (database engine) would take and set it to 1GB. And wouldn’t you know it, Exchange runs just fine that way. It doesn’t page to disk. It isn’t slow to send or receive mail. It didn’t cause the end of western civilization as we know it.

Finally, after years of telling people to get to be good friends with your Exchange admin.

They have more in common with you than you realize and may be able to help work with your SAN teams or your server admin teams on getting what you need for I/O or other hardware for your poor abused SQL Servers.

I can now tell the Exchange folks that they need to look at how SQL Server handles memory and data caching, you are running a mostly read only database with forward inserting rows(mail messages) and maybe, just maybe you shouldn’t cache every little thing right up front.

I’m not sure why the went with such an aggressive memory scheme, I am glad there was something I could do about it.

Who knew you needed a 64-way HP Superdome and 256GB of ram to really see Exchange shine?

-Wes