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SQL Server 2012 : Storage Systems (part 4) - Storage Technology - Remote Data Replication, Windows Failover Clustering, SQL Server AlwaysOn Availability Groups

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9/24/2013 4:11:29 AM

3.8 Remote Data Replication

Both SAN and NAS array controllers offer external data replication. This feature enables two or more array controllers to synchronize data. Vendors provide either a real-time or a point-in-time data migration framework.

Real-time frameworks replicate changes as they are written to the array. This replication is performed synchronously or asynchronously. Synchronous data replication is extremely sensitive to latency and is therefore not used over great distances.

Synchronous Replication

When SQL Server writes changes to either the data or the log, remember that both the user database and the log files must be replicated; a synchronous replication system writes the I/O to its battery-backed data cache. The array then sends the I/O to its replication partner. The partner writes the I/O to its own cache and then sends a successful acknowledgment to the source array.

At this point, based on proprietary caching algorithms, the storage arrays write the data from their cache to disk, and a success acknowledgment is sent to the SQL Server. As you can see, this process adds latency to the entire write process. Distance directly translates to latency. If the systems are asked to handle too much replicated data, or are placed too far apart, the database will slow considerably.

Asynchronous Replication

Rather than wait for a single change to be committed to both arrays, asynchronous replication sends a stream of changes between the arrays. As I/O is successfully written to cache, the source array returns a success acknowledgment to SQL Server. This way, changes are written without slowing the SQL Server processes.

The primary array sends changes to the remote array in a group. The remote array receives the group of changes, acknowledges the successful receipt, and then writes the changes to physical media. Each vendor offering asynchronous remote replication has a property method for ensuring successful delivery and recovering from communication issues between the arrays.

From a BCDR prospective, the drawback to implementing asynchronous replication is the potential for some data loss. Because the write I/O is instantly acknowledged on the source array, some amount of data is always in transit between the arrays. Most unplanned failover events will result in transit data being lost. Due to the design of SQL server lost data does not mean that the remote database is corrupt.


NOTE
All of these replication technologies must provide the capability to keep I/O exchanges intact. If only part of a write is delivered and written to a log file or data page, it is considered torn. A torn I/O is not recoverable by SQL Server DBCC. For this reason, SQL Server requires storage arrays to maintain atomic I/O. The SQL Server team offers a compliance program called SQL Server I/O Reliability. This program requires storage vendors to guarantee that they are fully compliant with all SQL Server data integrity standards.

Several storage vendors combine point-in-time technology with remote replication. These features enable the administrator to take a clone or snapshot of the user databases (using VDI to create an application-consistent data copy if desired) and send the data to a remote array.

As with asynchronous replication, point-in-time remote replication offers the advantage of low server impact. Remotely sending a snapshot enables you to specifically control the potential for data loss. If you set the snap interval for five minutes, you can be reasonably certain that in the event of unplanned failure you will lose no more than five minutes of changes. Identifying an exact amount of expected data loss can offer huge advantages when negotiating the parameters of BCDR with the business.

3.9 Windows Failover Clustering

Many SQL Server installations utilize Windows Failover Clustering to form high-availability SQL Server clusters. These systems create a virtual SQL Server that is hosted by an active server and at least one passive server. SQL Server 2008 and 2008 R2 failover clusters supported only shared storage failover clustering. The SAN storage array allows all SQL Server clusters to access the same physical storage and move that storage between nodes.

SQL Server failover clusters are based on the concept of “shared nothing”; the SQL Server instance (or instances) can live on only one active server. SQL Server places an active lock on log and data files, preventing other servers or programs from accessing the files. This is incorporated to prevent data changes that SQL Server would have no way to detect. In addition to file locks, the failover cluster also actively prevents other systems from using the storage volumes by using SCSI reservation commands.

Failover clustering can be set to automatically fail the instance over to a standby server when a failure occurs. SQL Server failover clusters also support the use of geo-clustering. A geo-cluster uses storage replication to ensure that remote data is in-sync with the source data. Storage vendors provide a proprietary cluster resource dynamic link library (DLL) that facilitates cluster-to-storage-array communication.

The use of a resource DLL enables a rapid failover between sites with little or no administrator involvement. Traditional failover systems require the interaction of many teams. Returning to our example, assume that Widget Company has just implemented a local SQL Server with a remote failover system.

The system in use by Widget uses traditional storage replication. When the Widget DBAs try to execute a failover they first need to contact the storage administrators so they can run failover scripts on the storage arrays. Once the storage is failed to the remote site, the DBAs can bring the database online. Because the server name is different, the DBAs need to reconfigure the database to do that. Now the application owners need to point all the middle-tier systems to the new server.

Even when the failover is planned it is extremely resource intensive to implement. The use of a geo-cluster greatly simplifies the failover process. The failover is implemented automatically whenever the SQL Server geo-cluster is failed over to a remote node. Unfortunately, SQL Server 2008 and 2008R2 only supported geo-clustering when both servers shared the same IP subnet.

This networking technology is called a stretch virtual local area network, or stretch VLAN. The stretch VLAN often requires that network engineers implement complex networking technologies. SQL Server 2012 solves this through AlwaysOn Failover Cluster Instances. This new feature enables each SQL Server to utilize an IP address that is not tied to the same IP subnet as the other hosts.


NOTE
Multi-subnet SQL Server failover cluster network names enable the RegisterAllProvidersIP property. This provides all the IP addresses that SQL Server is configured to use. It is important that newer SQL Server client drivers (such as the SQL Server Native Client) be utilized, as they support this configuration. The use of older SQL Server client drivers requires advanced configuration.

3.10 SQL Server AlwaysOn Availability Groups

The configuration and setup of AlwaysOn Availability Groups is beyond the scope of this article . From a storage perspective, Availability Groups offer a new, server-based method for replicating data that is application centric rather than platform centric. As discussed earlier, storage systems can use point-in-time data copies to facilitate data backup and performance isolation. Deciding between application based failover and hardware based failover is an architecture choice.

Earlier versions of SQL Server utilized log shipping, and later SQL Server mirroring, to keep standby SQL Servers updated with information. In the case of both log shipping and storage replication, the remote database must be taken offline prior to data synchronization. Availability Groups enable the use of near-real-time readable secondary database servers.

The read-only data copy can facilitate reporting offload or even backup. In addition, Availability Groups support synchronous or asynchronous data replication and also multiple secondary servers. You can configure one secondary as a reporting system that is hosted locally, and a second server can be hosted remotely, thus providing remote BCDR.

From a storage perspective, note the following caveats: Each remote secondary server needs as much storage capacity (and usually performance) as the primary database. In addition, it is critical that your network infrastructure is designed to handle the increased network traffic that can be generated by replicating data locally and remotely. Finally, all your servers must have enough performance available to handle the replication. If your server is already processor, storage, or memory bound, you are going to make these conditions worse. In these cases it is often advantageous to enable storage-based replication. Think of AlwaysOn Availability Groups as a powerful new tool that now enhances your SQL Server toolkit.

3.11 Risk Mitigation Planning

All of the replication and backup technologies described here are designed to mitigate risk. To properly define the specific procedures and technologies that will be used in your BCDR strategy, you need to decide how soon you need the system online and how much data your business is willing to lose in the process.

The projected time that it will take to bring a failed system online is called the recovery time objective (RTO). The estimated amount of original data that may be lost while the failover is being executed is called the recovery point objective (RPO). When designing a recovery plan it is important to communicate clear RTO and RPO objectives.

Ensure that the recovery objectives will meet business requirements. Be aware that systems that provide a rapid failover time with little or no data loss are often extremely expensive. A good rule of thumb is that the shorter the downtime and the lower the expected data loss, the more the system will cost.

Let’s look at an example failover system that has an RTO of 1 hour and an RPO of 10 minutes. This imaginary system is going to cost $10,000 and will require DBAs to bring up the remote system within one hour. If we enhance this example system to automatic failover it will reduce our RTO to 10 minutes, and we should not lose any data with an RPO of 0. Unfortunately, this system will cost us half a million dollars.

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