Implementing an imposed change

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Implementing an imposed change


Tips for Refreshing Materialized Views with Aggregates Following are some guidelines for using the refresh mechanism for materialized views with aggregates. Include all columns from the table likely to be used in materialized views in the materialized view logs.

If it can be determined that only inserts or deletes will occur on all the detail tables, then the materialized view log does not require the SEQUENCE clause. However, if updates to multiple tables are likely or required or if the specific update scenarios are unknown, make sure the SEQUENCE clause is included.

Starting in Oracle Database 12c, the database automatically gathers table statistics as part of a bulk-load operation CTAS and IAS similar to how statistics are gathered when an index is created.

By gathering statistics during the data load, you avoid additional scan operations and provide the necessary statistics as soon as the data becomes available to the users.

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Note that, in the case of an IAS statement, statistics are only gathered if the table the data is being inserted into is empty. This is a lot more efficient than conventional insert. During loading, disable all constraints and re-enable when finished loading.

Note that materialized view logs are required regardless of whether you use direct load or conventional DML. You can use fast refresh with a mixture of conventional DML and direct loads.

Fast refresh can perform significant optimizations if it finds that only direct loads have occurred, as illustrated in the following: However, fast refresh is able to perform significant optimizations in its processing if it detects that only inserts or deletes have been done to the tables, such as: If possible, refresh should be performed after each type of data change as shown earlier rather than issuing only one refresh at the end.

If that is not possible, restrict the conventional DML to the table to inserts only, to get much better refresh performance. Avoid mixing deletes and direct loads.

Implementing an imposed change

For ON COMMIT materialized views, where refreshes automatically occur at the end of each transaction, it may not be possible to isolate the DML statements, in which case keeping the transactions short will help.

However, if you plan to make numerous modifications to the detail table, it may be better to perform them in one transaction, so that refresh of the materialized view is performed just once at commit time rather than after each update. Oracle recommends partitioning the tables because it enables you to use: Partition change tracking PCT fast refresh You can refresh your materialized views fast after partition maintenance operations on the detail tables.

Partitioning the materialized view also helps refresh performance as refresh can update the materialized view using parallel DML. For example, assume that the detail tables and materialized view are partitioned and have a parallel clause.

The following sequence would enable Oracle to parallelize the refresh of the materialized view. Bulk load into the detail table. Refresh the materialized view. Set the number of job queue processes greater than the number of processors.

Implementing an imposed change

If job queues are enabled and there are many materialized views to refresh, it is faster to refresh all of them in a single command than to call them individually. The best refresh method is chosen. If a fast refresh cannot be done, a complete refresh is performed.

Refresh all the materialized views in a single procedure call. This gives Oracle an opportunity to schedule refresh of all the materialized views in the right order taking into account dependencies imposed by nested materialized views and potential for efficient refresh by using query rewrite against other materialized views.

Tips for Refreshing Materialized Views Without Aggregates If a materialized view contains joins but no aggregates, then having an index on each of the join column rowids in the detail table enhances refresh performance greatly, because this type of materialized view tends to be much larger than materialized views containing aggregates.

For example, consider the following materialized view: Partitioning is highly recommended, as is enabling parallel DML in the session before invoking refresh, because it greatly enhances refresh performance.

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Here's tips for implementing change successfully.

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In today’s organizations, the rate of change has never been more rapid or more constant. Whether the change is a small one, like the implementation of a new system, or a much bigger one such as a.

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The system that I’m going to describe allows arbitrary slopes, though for visual reasons, those two slopes are the most common, and result in a total of 12 tiles (the 6 described previously, and their mirrorings).

Theory of Constraints Bottom Line Process of Change