Large databases and indexes are partitioned into smaller objects using partitioning, which allows them to be managed at a more precise level than Granularity. Oracle partitioning is an option in Oracle Enterprise 12c Enterprise Edition and enhances the manageability, performance and availability of large databases and provides comprehensive options for partitioning to meet different business requirements and can be modified without any code on OLTP And apply Data Warehousing applications. In addition, it divides the zone maps available on Oracle Engineered Systems into smaller portions in order to beautify unlimited data, tables, and partitions. Oracle Partitioning It also complements Oracle Database 12c’s storage management and enables its customers to reduce storage costs with compression features.
Improved database management, functionality and accessibility
Oracle Partitioning significantly enhances the management, performance, and accessibility of multiple terabytes of OLTP and Data Warehousing systems, and provides a comprehensive selection of segmentation methods, including Range, Interval, Hash, List, and Partitioning to determine how data is partitioned. Provides Composite.
Segmentation to improve management capability
In order to manage information, database administrators will be able to adopt the Divide and Conquer approach using Oracle Partitioning and execute maintenance operations such as indexing, loading, compressing and trimming and sorting information by each partition. . For example, a database manager is able to merge and compress multiple old partitions into a single operation and also transfer them to the low-cost storage Tiering process without disrupting data access. By segmenting large tables and indexes into smaller sections that are easier to manage, such maintenance operations only apply to related database objects such as partitions.
Segmentation to enhance performance
Oracle Partitioning improves performance by limiting the amount of data that is being accessed by limiting the amount of data being examined or operated, so performance improves significantly compared to non-partitioned tables and completes Oracle Database 12c functionality It is used in conjunction with Indexing, Connection or Parallel Access techniques. In addition to the above, segmentation is implemented at the database level, so in order to easily take advantage of the performance benefits, there is no need to make any changes to the application code or Query declarations, including:
- Segmentation is modified for automatic use of partition meta data and for use of related information to perform an SQL operation. As a result, to meet specific queries, the database will only have access to the relevant sections instead of accessing all the tables or indexes.
- Zone Maps Used to modify “Zones Of Blocks” as well as modify complete sections for each column defined in a Zone Map, whether or not it exists in the Table Partitioning Key Placed. Segmentation with Zone Maps provides the most comprehensive data correction available on the market. Zone maps only exist on Oracle Engineered Systems and were available from Oracle Database 12c 184.108.40.206.
Partition-Wise connections can be applied to two joined tables, and both tables are segmented on the connection key. as a result:
- Between each partition, the large Join is automatically split into smaller Join.
- The overall join process is completed in a shorter time.
- Fewer resources are used.
These benefits provide significant performance for running consecutive or parallel queries.
Autonomy or separate sections with Database In-Memory allow only two types of data to be aggregated as In-Memory Columns:
- The Most Essential Business Data
- The most essential performance data
However, less essential information is stored in a cheaper disk or flash. So even the largest database can see significant performance benefits from In-Memory, and not limited by available memory.
Segmentation to increase accessibility
Segmented database objects provide separate segments that are an important part of a high-availability strategy. For example, if no part of a table is available, all other parts of the table will remain available online. Applications continue to execute queries and transactions against these segmented tables, and this database operation that does not need to access the inaccessible segment is successfully executed. In addition, partitioning reduces programmed downtime by enabling database managers to perform maintenance operations on large database objects in Short-Term Windows.
Oracle Partitioning Information Cycle Management
With Oracle Partitioning, the problem of IT organizations storing large amounts of information at the lowest possible cost is resolved. Separate segments along with understanding how to access information are key factors in implementing a Tier storage strategy.The segmentation process typically activates separate partitions or partition groups in tables containing previous data to be stored at different storage levels and to provide different physical features such as compression and price points. For example, only the last three months of a two-year ordering table containing expensive data are stored on the high-end Tier storage, and the rest of the table (approximately 90% of the information) is stored in a low-cost storage Tier. Using Oracle Partitioning reduces storage costs due to certain factors without affecting end-user access, saving up to 50% or more is common, thus reducing ownership costs for stored information. .Using Automatic Data Optimization with Heat Map The process of analyzing data usage and maintaining the Tier process of storing and compressing can be done automatically without the need for manual or coding intervention. It should be noted that the Heat Map is a function of the Advanced Compression option.
Oracle Partitioning for all database applications
The segmentation of large tables and indexes in Oracle Database 12c ensures that it is an optimal way to meet any business requirements and enhances the manageability, performance and accessibility of almost any database application. This is a very simple process of implementing segmentations and can be used to process any transaction and Data Warehousing programs to ensure success both in terms of business user performance and accessibility expectations and in terms of lower operating and IT costs.