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SQL Server 2012 : Storage Systems (part 2) - Storage Technology - SQL Server and the Windows I/O Subsystem

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9/24/2013 4:03:52 AM

3.1 SQL Server and the Windows I/O Subsystem

Microsoft SQL Server is an application that utilizes the Windows I/O subsystem. Rather than covering the minutia of how SQL Server reads and writes from the NTFS file system, we are going to explore the specific Windows I/O systems that will report errors to the Windows event logs. This should aid you in troubleshooting many storage errors.

The storage system components, shown in Figure 8, report errors to the Windows system Event Log. SQL Server reports errors to the Windows application log. You can either directly check the Event Logs or use System Center to scrape the Event Logs for actionable errors.

FIGURE 8

image

The Volume Manager driver (ftdisk.sys) creates a new I/O request packet that is passed to the Partition Manager driver (partmgr.sys). Once the request packet is created, the Volume Manager passes this packet to the Disk Class driver (disk.sys). Ftdisk.sys continues to monitor for successful delivery of the request packet. If problems are detected, then ftdisk.sys reports the errors to the system Event Log. These ftdisk errors usually represent very serious storage system issues.

At this point the Disk Class driver passes the storage request to either the Multipath System driver (mpio.sys) or the Port driver (storport.sys). Multipath I/O is a Microsoft technology that is utilized in storage area networks (SANs). Vendors can create an MPIO device-specific module (DSM) driver that details how the Multipath driver should load balance I/O across different storage pathways. Microsoft offers a generic DSM that provides limited failover capabilities. Non-SAN technologies do not use MPIO.

The HBA is the physical piece of hardware that interfaces with disk drives and other storage devices. HBA manufacturers create a miniport driver that interfaces with storport.sys. Most HBA drivers will independently report communication errors to the application Event Log.

Ideally, this entire chain of events takes no longer than 20 milliseconds. Performance is governed by a myriad of factors, the most important of which is latency. Both ftdisk.sys and SQL Server time each I/O. If the round-trip duration exceeds 15 seconds (for SQL Server or 1 minute for ftdisk.sys), then errors are reported to the SQL logs and the Windows application Event Log. As you hopefully noticed, a normal operation is measured in milliseconds, so one second is an eternity.

3.2 Choosing the Right Storage Networks

The storage network can facilitate the sharing of storage resources. Direct attached storage offers good performance for a relatively low cost, but DAS storage can orphan performance and capacity. Imagine several applications that grow in capacity at different rates or are used at different times. Consolidated storage that is attached to a SAN network enables users to share both storage capacity and available performance.

Complex storage networks are often built using Fibre Channel (FC) technology.


NOTE
The spelling of “Fibre” is no accident. The creators of FC wanted to differentiate the technology from fiber optic technologies that did not support copper cabling at the time.

FC differs from most server network protocols in that it is not routed. Routing enables the creation of large and resilient networks, but routed networks require a lot of overhead to operate.

If you are familiar with Fibre Channel you may already be aware of routing solutions for it.

Because it is not routed, FC defines a standard for both direct and switched storage network connections. Modern FC networks utilize high-speed network switches to communicate.

Storage networks are not limited to Fibre Channel. Several protocols define methods for sending storage data over existing server IP networks. Fibre Channel Internet Protocol (FCIP) allows Fibre Channel data frames to be encapsulated within an IP packet. Internet Small Computer Systems Interface (iSCSI) allows the transmission of SCSI data over IP networks.

FCIP and iSCSI transport different layers of the storage network. Fibre Channel frames are analogous to Ethernet data frames. SCSI is a storage control system comparable to Internet Protocol. Transmission Control Protocol is an Internetworking protocol and therefore has no analogue in storage networking. Emerging technologies such as Fibre Channel Over Ethernet (FCOE) combine the attributes of existing Fibre Channel networks with Ethernet routed networks.

Regardless of the specific network technology that is used to transport storage traffic, keep in mind that bandwidth is not infinite. Excessive storage traffic not only negatively impacts the performance of a single system, it can hamper all connected components. Many applications must meet minimum performance requirements spelled out in service-level agreements (SLAs). Storage network performance is critical to overall application performance.

3.3 Block-Based Storage vs. File-Based Storage

The operating system, in this case Windows, uses NTFS to create a structure that enables it to use one or more blocks to store files. When a server accesses a physical disk directly, it is called block-based access. When data is accessed over a server network, such as TCP/IP, it is called file data. Devices that provide file access are called network-attached storage (NAS).

Disk drives store data in blocks. Each block contains 512 bytes of data (some storage arrays use 520-byte blocks — the extra 8 bits define a checksum used to guarantee data integrity).



Disk drive data blocks are individually numbered by the disk firmware in a scheme using what are called logical block numbers (LBNs).


NOTE
SQL Server best practices recommend that NTFS partitions used for data and log files be formatted using 64K allocation clusters. This setting maximizes efficiency by minimizing wasted space. NTFS reserves space for the MFT$ based on the partition’s size. Each file needs a 1KB allocation record in the MFT$. Because only a few data and log files are stored on a partition, and 64KB clusters align with 64KB data extents used by SQL Server, it makes perfect sense to minimize the size of an MFT$. If the partition is used for storing many smaller files then it should be formatted using the standard 4KB cluster size. Running out of allocation units will result in a fragmented MFT$, thus significantly harming file access performance on that partition.

Starting with SQL Server 2008 R2, storage administrators have the option of using Server Message Block (SMB) networks to access data files. Technet offers a detailed overview of the advantages of SMB here: http://technet.microsoft.com/en-us/library/ff625695(WS.10).aspx.

SQL Server 2012 supports SMB version 3.0 which offers improved performance over earlier versions. For more information on configuring SQL Server 2012 with SMB 3.0 visit: http://msdn.microsoft.com/en-us/library/hh759341.aspx.

Setting up an SMB network enables you to connect to your file over a UNC path (\\server_name\ share). This access can greatly simplify the setup of network-based storage, although you should use caution and specifically check to ensure that your particular system is supported, as NAS devices often are not supported for use in this configuration.

Contrast SMB with the use of an iSCSI network. iSCSI is a protocol used for accessing block data over a server network. It requires the use of initiator software on the host server and a compatible iSCSI storage target.

Both SMB and iSCSI utilize a server network to communicate. You must ensure that the server network is low latency and has the bandwidth available to handle the demands that will be placed on it by either technology. Most Fibre Channel networks are dedicated to handling only storage traffic.

If you utilize a server network to transport block or file SQL Server traffic, it may need to be dedicated to transferring only the storage traffic. In lieu of dedicated networks, consider implementing Quality of Service (QoS) that puts a higher priority on storage traffic over normal network packets.

Keep in mind that no technology provides a magic bullet. Even robust networks can be filled with traffic. Storage transfers are extremely sensitive to delay.

3.4 Shared Storage Arrays

Shared array controllers are primarily responsible for logically grouping disk drives. Sharing the storage controller enables the creation of extremely large volumes that are protected against failure. In addition to the normal features of direct attached storage controllers, a shared array controller provides both storage performance and capacity.

Shared array controllers, often called SAN controllers, offer more advanced features than direct attached systems. The feature sets are divided into three categories:

  • Efficient capacity utilization
  • Storage tiering
  • Data replication

Before diving into the features of SAN arrays, however, it would be helpful to look at some of the language that storage administrators use to describe their systems.

3.5 Capacity Optimization

It has been our experience that most information technology professionals are not very good at predicting the future. When asked how much performance and space they anticipate needing over the next three to five years, administrators do their best to come up with an accurate answer, but unfortunately real life often belies this estimate.

Meet Bob. Bob forecasted that his new OLTP application would start at 10GB and grow at 10GB per year over the next five years. Just to be on the safe side, Bob asked for 100GB in direct-attached storage. Bob’s new widget sells like hotcakes and his database grows at 10GB per month. Seven months in, Bob realizes that he is in trouble. He asks his storage administrators for another 500GB in space to cover the next five years of growth.

Unfortunately, the storage and server administrators inform Bob that other users have consumed all the space in his data center co-location. The information technology group is working diligently to expand the space, but it will be six months before they can clear enough space to accommodate his storage. Bob notes that never again will he come up short on storage and go through the pain of expanding his system.

Moving forward Bob always asks for 10 times his original estimate. In his next venture Bob finds that his database will also grow at 10GB per year over 5 years but this time Bob, having “learned his lesson” asks for 10GB a month. Unfortunately Bob’s actual storage requirement was closer to 5GB per year.

Bob has unwittingly become his own worst enemy. When Bob needs storage for his second application there isn’t any storage available because Bob is simultaneously holding on to unused storage for his first application. He has underprovisioned his storage requirements for his second application while massively overprovisioning his first.

Bob’s example is not unique. IT shops the world over consistently overprovision storage. Imagine the implications; over the life of the storage and server, companies purchase a significant amount of excess storage that requires powering and servicing. To combat this wasteful use of space, several storage array manufacturers now sell a technology called thin provisioning.

Thin provisioning uses the concept of just-in-time storage allocation within storage pools, whereby many physical disk drives are amalgamated into one large pool. Appropriate RAID protection is applied to the disk drives within the pool. Many volumes can be created from each pool. Synthetic or virtual volumes are presented to the host servers.

When a volume is created as a thin device it allocates only a minimum amount of storage. From the perspective of the operating system, the volume is a certain set size, but the actual data usage within the thin pool closely matches the size of written data. As new data is written to the volume, the storage array allocates more physical storage to the device. This enables the storage administrator to directly regulate the amount of storage that is used within the storage environment.

Because over-forecasting is no longer under-utilizing space, the database administrator can focus on easing operational complexity, versus trying to optimally forecast storage. Creating a single data file within a file group and later adding files while maintaining performance is an extremely painful operation. If a database is built without planning for growth and instead is concatenated over time by adding files, then data access is not uniform.

One possible growth-planning solution is to create several data files on the same volume. If that volume becomes full, the original data files can be moved. This data file movement will require downtime, but it is preferable to reloading the entire dataset. When utilizing storage pools it is possible to create large thin volumes that may never be fully utilized. This is possible because the storage systems are provisioning storage only as it is needed. Many SAN array controllers also facilitate online volume growth.

Unfortunately, many DBAs subvert the concept of thin provisioning by fully allocating their database at creation time. Most database administrators realize that growing a data file can be a painful operation, so they often allocate all the space they will ever need when the database is created. Unfortunately, for our thin pool, SQL Server allocates data and log files by writing zeros to the entire data file.

If the Windows Server is set to use instant file initialization, the file will be created in a thin-pool-friendly way. New storage will be allocated in the pool only as the data actually increases (http://msdn.microsoft.com/en-us/library/ms175935(v=SQL.105).aspx). The DBA can also ensure that the file is thin-pool-friendly by creating data and log files that are only as large or slightly larger than the data the file will contain.


NOTE
Database files are created using zeroes for security purposes. Physically writing zeroes to new space helps to ensure that previous data is not accidently exposed to the new host. Check your security requirements prior to enabling instant file initialization.

If the data file has already been created as a large file filled with zeros, then a feature called Zero Page Reclaim can be used on the array to reclaim the unused space. Running Zero Page Reclaim allows the array to return the zero space to the available storage pool so it can be allocated to other applications.

Deleting data from within a database or even deleting files from a volume will not return free space to the thin storage pool. In the case of reclaiming deleted file space, most storage vendors offer a host-side tool that checks the NTFS Master File Table and reallocates space from deleted space. If you decided to delete space from within a SQL Server data or log file you need to run the DBCC SHRINKFILE command to first make the file smaller, and then run the host-side storage reclamation tool to return space to a given thin pool.

Unfortunately, thin storage pools have a dirty little secret. In order to optimize storage use in a world where storage forecasting is an inexact science, it is necessary to overprovision the thin pools. This means that storage teams must closely monitor the growth rate at which new storage is being used.


WARNING
If Microsoft Windows makes a write request against a thin volume that no longer has free space, it will blue screen the server. To prevent this, storage administrators have a few options: Run a storage array tool like Zero Page Reclaim to gather unused space, add more physical storage to the thin pool, or migrate the volume to a different array with more space. It is critical to catch growth issues before they become a serious problem.

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