12c Release 2 – Transparent Data Encryption online !

It doesn’t take a rocket scientist to know that even if you have incredibly stringent controls on user authentication, user authorisation etc, that wont save you if your data on disk is not encrypted.  All you need is an errant tape, a missing disk, a misplaced flash stick…and kersplat, someone has a copy of your datafiles from your Oracle database.

Data at rest should be encrypted, but that often meant taking applications offline to do so.

I’ve put my Speed Racer hat on Smile and here’s a video on a new 12c Release 2 feature covered in 60 seconds !

Oracle Database 12c Release 2 is here !

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Since OpenWorld 2016 when we first saw some of the cool features in Oracle Database 12c Release 2, many IT professionals out there have been exploring the release via our various cloud offerings, but if your organization has not yet embraced the cloud, then March 2017 is a great month for you !  Because you can now download the latest and greatest release of our database from the usual downloads page, and run it on your own servers in your own data centre.

Of course, there’s a difference between downloading and installing the software, and being up to speed with all of the great features that have come in 12c and 12c Release 2 so keep an eye on my blog, and on my YouTube channel.

Over the coming weeks I’ll be talking about lots of the new features in 12.2 in a short easy to digest videos to help you appreciate all of the goodness that is 12c Release 2 Smile

To whet your appetite, how cool is this simple enhancement to SQL Plus – command history !



SQL> history
  1  select * from dba_users where username = 'SYSTEM';
  2  select count(*)
     from dba_tables
     where table_Name like 'A%';
  3  select * from tab;
  4  show sga
  5  set timing off
  6  select * from dba_tablespaces;

SQL> history 4 run

Total System Global Area 1048576000 bytes
Fixed Size                  8795840 bytes
Variable Size             251660608 bytes
Database Buffers          784334848 bytes
Redo Buffers                3784704 bytes

A 12.2 treat for the festive season

We’re being asked to store more and more data, yet keep backup windows, query performance and the like unchanged, no matter how much we store. As a result, more and more database shops are needing to partition their data. The problem is – partitioning data is a significant restructure of the data, which thus incurs a large outage and the accompanying planning and coordination.

Unless you’re on 12.2.

Here’s a demo where we can take an existing table and

  • convert it to partitioned on a range scheme, also using intervals so we don’t need to worry about ongoing range creation maintenance, and
  • take one of the existing indexes, and convert it to a local index to mirror the table partitioning scheme, and
  • take the other existing index, and globally partition it.

Oh…and of course, we will do the whole thing online without service disruption

Oh…and of course, we will do it with a single SQL command.

Ab…So….Lute….Ly awesome !



SQL*Plus: Release 12.1.0.2.0 Production on Thu Dec 22 09:53:37 2016

Copyright (c) 1982, 2014, Oracle.  All rights reserved.

Last Successful login time: Mon Dec 19 2016 13:38:54 +08:00

Connected to:
Oracle Database 12c Enterprise Edition Release 12.2.0.0.3 - 64bit Production


SQL> create table T as
  2  select d.*
  3  from dba_Objects d,
  4       ( select 1 from dual
  5         connect by level <= 20 )   6  where d.object_id is not null; Table created. SQL> create index IX on t ( object_id );

Index created.

SQL> create index IX2 on t ( created, object_name );

Index created.

SQL> alter table T modify
  2  partition by range (object_id) interval (10000)
  3  (
  4    partition p1 values less than (20000)
  5  ) online
  6  update indexes
  7  ( ix  local,
  8    ix2 global partition by range (created)
  9    (
 10     partition ix2_p1 values less than (date '2016-08-01'),
 11     partition ix2_p2 values less than (maxvalue)
 12   )
 13  );

Table altered.

SQL> select partition_name
  2  from   user_tab_partitions
  3  where  table_name = 'T';

PARTITION_NAME
--------------------------------------------------------------------------------------------------------------------------------
P1
SYS_P1145
SYS_P1146
SYS_P1147
SYS_P1148
SYS_P1149
SYS_P1150

7 rows selected.

SQL> select index_name, partition_name
  2  from   user_ind_partitions
  3  where  index_name like 'IX%';

INDEX_NAME                     PARTITION_NAME
------------------------------ ------------------------------
IX                             P1
IX                             SYS_P1145
IX                             SYS_P1146
IX                             SYS_P1147
IX                             SYS_P1148
IX                             SYS_P1149
IX                             SYS_P1150
IX2                            IX2_P1
IX2                            IX2_P2

9 rows selected.

SQL>