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Enhancing Merge Replication Performance

  • Artikkeli

After considering the general performance tips described in Enhancing General Replication Performance, consider these additional areas specific to merge replication.

Database Design

  • Index columns used in row filters and join filters.
    When you use a row filter on a published article, create an index on each of the columns that is used in the filter's WHERE clause. Without an index, Microsoft SQL Server has to read each row in the table to determine whether the row should be included in the partition. With an index, SQL Server can quickly locate which rows should be included. The fastest processing takes place if replication can fully resolve the WHERE clause of the filter from the index alone.
    Indexing all the columns used in join filters is also important. Each time the Merge Agent runs, it searches the base table to determine which rows in a parent table and which rows in related tables are included in a partition. Creating an index on the joined columns avoids having SQL Server read each row in the table every time the Merge Agent runs.
    For more information on filtering, see Filtering Published Data for Merge Replication.
  • Consider overnormalizing tables that include Large Object (LOB) data types.
    When synchronization occurs, the Merge Agent might need to read and transfer the entire data row from a Publisher or Subscriber. If the row contains columns that use LOBs, this process can require additional memory allocation and negatively impact performance even though these columns may not have been updated. To reduce the likelihood that this performance impact occurs, consider putting LOB columns in a separate table using a one-to-one relationship to the rest of the row data. The data types text, ntext, and image are deprecated. If you do include LOBs, we recommend that you use the data types varchar(max), nvarchar(max), varbinary(max), respectively.

Publication Design

  • Use a publication compatibility level of 90RTM (SQL Server 2005).
    Unless one or more Subscribers use a different version of SQL Server, specify that the publication must support only SQL Server 2005. This allows the publication to take advantage of new features and performance optimizations. For more information, see the "Compatibility Level for Merge Publications" section of Using Multiple Versions of SQL Server in a Replication Topology.
  • Use appropriate publication retention settings.
    The publication retention period, which is the maximum amount of time before a subscription must be synchronized, determines how long tracking metadata is stored. A high value can affect storage and processing performance. For more information about setting the publication retention period, see Subscription Expiration and Deactivation.
  • Use download-only articles on those tables that are only changed at the Publisher. For more information, see Optimizing Merge Replication Performance with Download-Only Articles.

Filter Design and Use

  • Limit the complexity of row filter clauses.
    Limiting the complexity of the filtering criteria helps improve performance when the Merge Agent is evaluating row changes to send to Subscribers. Avoid using sub-selects within merge row filter clauses. Instead, consider using join filters, which are generally more efficient when used to partition data in one table based on the row filter clause in another table. For more information about filtering, see Filtering Published Data for Merge Replication.
  • Use precomputed partitions with parameterized filters (this feature is used by default). For more information, see Optimizing Parameterized Filter Performance with Precomputed Partitions.
    Precomputed partitions impose a number of limits on filtering behavior. If your application cannot adhere to these limitations, set the keep_partition_changes option to True, which provides a performance benefit. For more information, see Parameterized Row Filters.
  • Use nonoverlapping partitions if data is filtered but not shared among users.
    Replication can optimize performance for data that is not shared between partitions or subscriptions. For more information, see Parameterized Row Filters.
  • Do not create complex join filter hierarchies.
    Join filters with five or more tables can significantly impact performance during merge processing. We recommend that if you are generating join filters of five or more tables that you consider other solutions:
    • Avoid filtering tables that are primarily lookup tables, smaller tables, and tables that are not subject to change. Make those tables part of the publication in their entirety. We recommend that you use join filters only between tables that must be partitioned among Subscribers. For more information, see Join Filters.
    • Consider denormalizing the database design or using a mapping table if there are a large number of tables in a join. For example, if a sales person needs only the data for her customers, but it requires six joins to associate a customer with a sales person, consider adding a column to the customer table that identifies the sales person. The sales person data is redundant, but the costs of denormalizing the tables somewhat might be outweighed by the performance benefits for replication partitioning.
    • To improve the performance of precomputed partitions when batches contain lots of data changes, design your application with care. Make sure that changes to data in the parent table in a join filter are made before corresponding changes in the child tables.
  • Set the join_unique_key option to 1 if logic allows.
    Setting this parameter to 1 indicates that the relationship between the child and parent tables in a join filter is one to one or one to many. Only set this parameter to 1 if you have a constraint on the joining column in the child table that guarantees uniqueness. If the parameter is set to 1 incorrectly, non-convergence of data can occur. For more information, see Join Filters.
  • Avoid executing batches with lots of changes when you use precomputed partitions.
    When the Merge Agent is run after you run a batch that contains lots of data changes, the agent tries to divide the large batch into smaller batches. During this time, other Merge Agent processes may be blocked. Consider reducing the number of changes in a batch and run the Merge Agent between batches. If this cannot be done, increase the value of generation_leveling_threshold for the publication.

Subscription Considerations

Merge Agent Parameters

  • Upgrade all Subscribers for pull subscriptions to SQL Server 2005.
    Upgrading the Subscriber to SQL Server 2005 upgrades the Merge Agent used by the subscriptions at that Subscriber. To take advantage of many of the new features and performance optimizations, the SQL Server 2005 Merge Agent is required.
  • If a subscription is synchronized over a fast connection and changes are sent from the Publisher and Subscriber, use the –ParallelUploadDownload parameter for the Merge Agent.
    SQL Server 2005 provides a new Merge Agent parameter: –ParallelUploadDownload. Setting this parameter allows the Merge Agent to process in parallel the changes uploaded to the Publisher and those downloaded to the Subscriber. This is useful in high volume environments with high network bandwidth. Agent parameters can be specified in agent profiles and on the command line. For more information, see:
  • When you synchronize data rows with a large amount of data, such as rows with LOB columns, Web synchronization can require additional memory allocation and hurt performance. This occurs when the Merge Agent generates an XML message that contains too many data rows with large amounts of data. If the Merge Agent is consuming too many resources during Web synchronization, reduce the number of rows sent in a single message in one of the following ways:
    • Use the slow link agent profile for the Merge Agent. For more information, see Replication Agent Profiles.
    • Decrease the -DownloadGenerationsPerBatch and -UploadGenerationsPerBatch parameters for the Merge Agent to a value of 10 or less. The default value of these parameters is 50.

Snapshot Considerations

  • Create a ROWGUIDCOL column on large tables prior to generating the initial snapshot.
    Merge replication requires that each published table have a ROWGUIDCOL column. If a ROWGUIDCOL column does not exist in the table before the Snapshot Agent creates the initial snapshot files, the agent must first add and populate the ROWGUIDCOL column. To gain a performance advantage when generating snapshots during merge replication, create the ROWGUIDCOL column on each table before publishing. The column can have any name (rowguid is used by the Snapshot Agent by default), but must have the following data type characteristics:
    • A data type of UNIQUEIDENTIFIER.
    • A default of NEWSEQUENTIALID() or NEWID(). NEWSEQUENTIALID() is recommended because it can provide increased performance when making and tracking changes.
    • The ROWGUIDCOL property set.
    • A unique index on the column.
  • Pre-generate snapshots and/or allow Subscribers to request snapshot generation and application the first time they synchronize.
    Use one or both of these options to provide snapshots for publications that use parameterized filters. If you do not specify one of these options, subscriptions are initialized using a series of SELECT and INSERT statements, rather than using the bcp utility; this process is much slower. For more information, see Snapshots for Merge Publications with Parameterized Filters.

Maintenance and Monitoring Considerations

  • Occasionally re-index merge replication system tables.
    As part of maintenance for merge replication, occasionally check the growth of the system tables associated with merge replication: MSmerge_contents, MSmerge_genhistory, and MSmerge_tombstone, MSmerge_current_partition_mappings, and MSmerge_past_partition_mappings. Periodically re-index these tables. For more information, see Reorganizing and Rebuilding Indexes.
  • Monitor synchronization performance using the Synchronization History tab in Replication Monitor.
    For merge replication, Replication Monitor displays detailed statistics in the Synchronization History tab for each article processed during synchronization, including the amount of time spent in each processing phase (uploading changes, downloading changes, and so on). It can help pinpoint specific tables that are causing slow downs and is the best place to troubleshoot performance issues with merge subscriptions. For more information on viewing detailed statistics, see How to: View Information and Perform Tasks for the Agents Associated With a Subscription (Replication Monitor).

See Also

Concepts

Enhancing Replication Performance

Help and Information

Getting SQL Server 2005 Assistance

Change History

Release History

12 December 2006
New content:
  • Added performance recommendations for executing large batches using precomputed partitions.

17 July 2006
New content:
  • Added performance recommendations for synchronizing large object data using Web synchronization.