About Partitioned Tables and Indexes - Oracle 10g

Modern enterprises frequently run mission-critical databases containing upwards of several hundred gigabytes and, in many cases, several terabytes of data. These enterprises are challenged by the support and maintenance requirements of very large databases (VLDB), and must devise methods to meet those challenges.

One way to meet VLDB demands is to create and use partitioned tables and indexes. Partitioned tables allow your data to be broken down into smaller, more manageable pieces called partitions, or even subpartitions. Indexes can be partitioned in similar fashion. Each partition is stored in its own segment and can be managed individually. It can function independently of the other partitions, thus providing a structure that can be better tuned for availability and performance.

If you are using parallel execution, partitions provide another means of parallelization. Operations on partitioned tables and indexes are performed in parallel by assigning different parallel execution servers to different partitions of the table or index.

Partitions and subpartitions of a table or index all share the same logical attributes.For example, all partitions (or subpartitions) in a table share the same column andconstraint definitions, and all partitions (or subpartitions) of an index share the same index options. They can, however, have different physical attributes (such as TABLESPACE).

Although you are not required to keep each table or index partition (or subpartition) in a separate tablespace, it is to your advantage to do so. Storing partitions in separate tablespaces enables you to:

  • Reduce the possibility of data corruption in multiple partitions
  • Back up and recover each partition independently
  • Control the mapping of partitions to disk drives (important for balancing I/O load)
  • Improve manageability, availability, and performance

Partitioning is transparent to existing applications and standard DML statements run against partitioned tables. However, an application can be programmed to take advantage of partitioning by using partition-extended table or index names in DML.
You can use SQL*Loader and the import and export utilities to load or unload data stored in partitioned tables. These utilities are all partition and subpartition aware.


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