SQL Server 2012 Distributed Data and Methods for Distributing

on September 12, 2013

There are two general methods for distributing data on multiple database servers:

  •     Distributed transactions
  •     Data replication

A distributed transaction is a transaction in which all updates to all locations (where the distributed data is stored) are gathered together and executed synchronously. Distributed database systems use a method called two-phase commit to implement distributed transactions.

Each database involved in a distributed transaction has its own recovery technique, which is used in case of error. (Remember that all statements inside a transaction are executed in their entirety or are cancelled.) A global recovery manager (called a coordinator) coordinates the two phases of distributed processing.

In the first phase of this process, the coordinator checks whether all participating sites are ready to execute their part of the distributed transaction. The second phase consists of the actual execution of the transaction at all participating sites. During this process, any error at any site causes the coordinator to stop the transaction. In this case, it sends a message to each local recovery manager to undo the part of the transaction that is already executed at that site.


The Microsoft Distributed Transaction Coordinator (DTC) supports distributed transactions using two-phase commit.

During the data replication process, copies of the data are distributed from a source database to one or more target databases located on separate computers. Because of this, data replication differs from distributed transactions in two ways: timing and delay in time.

In contrast to the distributed transaction method, in which all data is distributed on all participating sites at the same time, data replication allows sites to have different data at the same time. Additionally, data replication is an asynchronous process. This means that there is a certain delay during which all copies of data are matched on all participating sites. (This delay can last from a couple of seconds to several days or weeks.)

Data replication is, in most cases, a better solution than distributed transactions because it is more reliable and cheaper. Experience with two-phase commit has shown that administration becomes very difficult if the number of participating sites increases. Also, the increased number of participating sites decreases the reliability, because the probability that a local part of a distributed transaction will fail increases with the increased number of nodes. (If one local part fails, the entire distributed transaction will fail, too.)

Another reason to use data replication instead of centralized data is performance: clients at the site where the data is replicated experience improved performance because they can access data locally rather than using a network to connect to a central database server.

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