Oracle’s Advanced Compression and Deduplication features are designed to help organizations optimize storage utilization and performance in large-scale databases.
Advanced Compression is a feature that allows for the compression of data and indexes within the database. This reduces the amount of storage required and can improve the performance of queries that access the compressed data. There are several compression algorithms available, including basic compression, which is relatively light on CPU usage, and high compression, which requires more CPU resources but offers greater storage savings.
To enable Advanced Compression, you can use the COMPRESS attribute when defining a table or index. For example, to compress a table named MY_TABLE, you can use the following SQL statement:
ALTER TABLE MY_TABLE COMPRESS FOR OLTP;This will enable compression for the table using the OLTP compression algorithm, which is optimized for transactional workloads.
In addition to table and index compression, Oracle also offers compression for backup and recovery operations. This can allow for faster backup and restore times, as well as reduced storage requirements for backup files.
Deduplication, on the other hand, is a feature that allows for the removal of redundant data within the database. This can help to further optimize storage utilization and reduce backup times. Oracle’s deduplication feature is integrated with the backup and recovery functionality, and can be enabled using the RMAN (Recovery Manager) command-line interface.
To enable deduplication for a backup, you can use the following command:
CONFIGURE CHANNEL DEVICE TYPE 'sbt' PARMS 'ENV=(BACKUPSET_DUPLEX=3)';This will configure the backup channel to use the third level of duplixing, which means that RMAN will compare backup blocks to identify duplicates and only store unique blocks.
It’s worth noting that while Advanced Compression and Deduplication can help to optimize storage utilization and performance, they do come with some trade-offs. Compression can increase CPU usage and potentially slow down write operations, while deduplication can increase backup and restore times due to the additional processing required to identify and remove duplicates. Organizations should carefully evaluate the benefits and drawbacks of these features before deploying them in production environments.