“Bigger on the inside? No. Basic miniaturisation sustained by a compression field. Watch what you eat, it’ll get you every time.” – Doctor Who, not talking about the TARDIS, but instead the Hotel Adlon Restaurant in Berlin
Oracle table compression options are plentiful in Oracle Database 12c, 18c, and 19c, but can be confusing if you’ve been monitoring the evolution of the syntax you need to manage compression in your tables and indexes. Much of this is due to newer Oracle technologies highlighted and exploited on the Oracle Exadata platform: Hybrid Columnar Compression (HCC) and Oracle In-Memory on any Oracle platform.
Even back in Oracle Database 9i and 10g there was support for basic compression. It was able to compress rows in a block quite well, but the blocks had to be loaded with direct path operations (INSERT with the APPEND hint) or SQL*Loader with the DIRECT=TRUE option. If you didn’t change the data in a compressed table, it performed well, but once you ran any DML (Data Manipulation Language) statements on the rows in a block, you would at best give up the compression for that row and at worst force Oracle to allocate another block for the table to hold the remaining compressed rows and the new or changed row.
Starting in Oracle Database 11g Release 1 (11gR1) you could start using Advanced Compression, which for a slight additional licensing cost you could not only bulk load compressed rows in a table but also add or modify rows in a table while maintaining compression on all rows in a given block with minimal CPU overhead.
For tables that will have any frequent DML (INSERTs, UPDATEs, and DELETEs) run on them, use Advanced Compression across the board (Exadata and non-Exadata alike). The CPU overhead is minimal and for many applications you might get a 50% compression ratio, or more. Even with Exadata that makes sense because if you must send the entire block (non-smart scans) either to the database servers or during I/O operations at the Exadata storage layer you’re going to send half as many blocks around. To explain Advanced Compression in a nutshell here is how Oracle will compress a block by tokenizing duplicate column values in a block:
The following syntax diagrams are documentation excerpts from the last few versions of Oracle Database: https://docs.oracle.com/en/database/
In each version, you can see the evolution of the compression-related keywords required by the addition of HCC in Exadata in 11g Release 2 (18.104.22.168/4) and the In-Memory option in Oracle Database 12c Release 1 (22.214.171.124). Let’s start with the relatively ancient Oracle Database 11g Release 1:
Row store compression only!
Compression could be HCC, but it’s not obvious yet that the compression was “column store” on Exadata:
HCC compression is now more obvious by differentiating between “row store” and “column store”, but no “row level locking” or “in-memory” option yet:
Aha, now we can also have columns of a table or the entire table “in-memory”! And the compression algorithms look suspiciously like those found in Exadata HCC storage:
Not much new in 12c Release 2. Same high level syntax, but with additional in-memory functionality for Integrated Lifecycle Management (ILM) and more options for distributing in-memory information across RAC node instances:
18c and 19c
From a syntax perspective, the compression clauses haven’t changed much with 18c and 19c – not surprising, given that Oracle Database version 18c is more or less version 126.96.36.199 and 19c is more or less version 188.8.131.52. However, one key feature added in version 18c cuts across Oracle’s big data support (e.g. external tables), in-memory, and compression by enabling in-memory support for external tables (how cool is that?):
Even though it doesn’t seem like it, there remain only six different compression methods available to you: BASIC compression, Advanced Compression, and four levels of HCC (Exadata and ZFS storage only). It would be seven if you count no compression (NOCOMPRESS) as a compression level. But really it’s back to six because basic and advanced compression give you roughly the same compression ratio with advanced compression letting you do more with the rows without losing the compression.
Why it seems like there are more than that (beyond the changing and overlapping keyword options as you move from version to version) is because these compression technologies are available at so many levels: the table level, storage level, for indexes (beyond basic index compression from previous releases), column stores in memory, and even at the network level.
Regardless of how much disk space you have or how fast your network is, if you have a few CPU cycles available on a regular basis, compressing your data using one of these methods makes sense. Oracle provides a variety of compression options to match almost every combination of hardware, software, and application. Compress away!