ZDLRA

I wanted to write a post on one of Oracle's newest products (Well not that new).. The ZDLRA.
The ZDLRA is often referred to as "Zelda".  I know the name ZDLRA does not roll off the tongue well.  Zelda is a much better (and easier to say name).
The other name you will hear the ZDLRA referred to as is RA or Recover Appliance.

Recover Appliance is probably the best description of the product.  One of the things that makes this product unique is the emphasis on RECOVERY.. Notice there is not a mention of backup in the name.


Here is a great starting point for information


It does a lot of it's magic by using incremental forevers   --

    I know what you are thinking... The incremental forever strategy has been around for a long time (since 10.2 I think).  The idea is simple.  You take a full backup (database copy NOT backup set), and then take incrementals from then on.  You use RMAN to apply the incremental to the full, and create a new full (destroying the old full in the process).  I've seen many customers (and me also) use the rolling incrementals in the online recovery area to keep a full backup online from the previous day.
This is used with a second backup strategy for longer term storage to a backup device.

  The way the RA handles this differently, is that it creates "virtual fulls" for each incremental backup you take.  You also tell it how far back to store virtual fulls.  Using this methodology, if you do an incremental backup nightly, you can keep "virtual fulls" from each night as far back as you want.
There is no need to keep an online backup, and one in backup appliance.

Why is the RA different from most backup strategies ?

1) The use of only needing to do incremental forevers uses less I/O to read database blocks, and less backup network I/O -  Using this method, the RA ONLY needs the incremental backups to keep a restore point.  This saves the I/O of doing a full, and it saves the bytes going across the network.

2) RMAN keeps track of all the backups.  RMAN is the backbone of the RA, and the RA contains a recovery catalog.  RMAN verifies that backups are good, and you will always know if you have a good backup to restore.

3) Real time apply.  You can think of the RA receiving redo log information in the same vein as a Dataguard database.  Without the RA, you would backup archive logs as they are written from the redo logs.  This leaves you open to data loss from your backup.. The RA reads from the current Redo log stream in the database (like dataguard) to ensure there there is almost no data loss. Nothing else does this.

4) Performance.  The performance the RA is phenomenal.  You can find a whitepaper here on the performance with multiple databases backing up to a single RA appliance.

This is a fantastic product to backup multiple databases and most importantly be able to recover your databases with next-to-no data loss.

M7 is Here

Yes, I know I am more of a sofware geek, than a hardware geek, but I spent the day listening to all the goodness of the new Sparc M7 chip.. and Wow..

This was announced at OOW '15, and you can find a lot of the information here.

I think what excited me wasn't just the benchmarks that you can find here, ir was the idea of Software-on-Silicon.

That's the big story for software geeks.. The idea of the DAX...

I know DAX sounds like something out of Dr. Seuss.

The DAX (Database Analytics Accelerator) is a special section of the new processor dedicated to In-Memory processes.

If you have read through Maria Colgans blog (which you should) you learn about how In-memory takes advantage of the SIMD instruction set available on the intel Chip.. The SIMD instructions are able to scan multiple rows of data in one CPU cycle.  That's part of what makes the In-Memory option process data so fast.

What does this have to do the M7 ?  The DAX replaces the SIMD instructions when you are running in-memory queries on the M7.  The DAX is specifically built to run this instruction set and the results are then fed to the CPU.  




What does this mean for you ? It means that the DAX is able to not only process the data faster than the SIMD processing on Intel, but it also does not use any of the CPU power to execute the In-Memory scanning.  You get faster performance, and you use less CPU.
That's the point of the DAX, and the Software-on-Silicon.  Faster performance with silicon that is built specially for an oracle workload (In-Memory in this case).

12.1.0.2 New Features PDB CONTAINERS Clause

When 12.1.0.2 came out, one of the features I wanted to play was the Cross-container functionality, and I finally had time to play with it.

First here is the description of the feature.

The CONTAINERS clause is a new way of looking at multitenant container databases (CDBs). With this clause, data can be aggregated from a single identical table or view across many pluggable databases (PDBs) from the root container. The CONTAINERS clause accepts a table or view name as an input parameter that is expected to exist in all PDBs in that container. Data from a single PDB or a set of PDBs can be included with the use of CON_ID in the WHERE clause. 

I decided to play with this and see what it really means.... And mostly to see the explain plan to see what happens under the covers.

Step 1 --   The first thing you need to do is create a "common user".  A common user is a new term that comes with Pluggable databases.  A common user is a user which is created in the CDB (the Root container), and is then available as a user in all the PDB's that are part of the CDB.  There are some rules around this.

• In Oracle Database 12c Release 1 (12.1.0.1), the name of a common user must begin with C## or c## and the name of a local user must not begin with C## or c##.
• Starting with Oracle Database 12c Release 1 (12.1.0.2):
• The name of a common user must begin with characters that are a case-insensitive match to the prefix specified by the COMMON_USER_PREFIX initialization parameter. By default, the prefix is C##.
• The name of a local user must not begin with characters that are a case-insensitive match to the prefix specified by the COMMON_USER_PREFIX initialization parameter. Regardless of the value of COMMON_USER_PREFIX, the name of a local user can never begin with C## or c##.

 So here goes for step 1 ..

$ sqlplus "/ as sysdba"

SQL*Plus: Release 12.1.0.2.0 Production on Thu Aug 7 22:23:26 2014

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


Connected to:
Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production
With the Partitioning, OLAP, Advanced Analytics and Real Application Testing options

SQL create user c##bgrenn identified by bgrenn;
grant dba to c##bgrenn;

User created.

SQL 
Grant succeeded.

One thing to mention at this point is that I granted DBA role to my new common user c##bgrenn.  You also need to set individual privileges at each PDB level

Step 2 --   Now that I have a common user (c##bgrenn), I now need to go into my pdb's and create the objects that I want to have shared across PDB's. 

For simplicity, I chose DBA_TABLES, and DBA_OBJECTS.

The 3  PDBS I want to create this in are "orclpdb", "orclpdba" and "orcldbb"

SQL> COLUMN NAME FORMAT A15
COLUMN RESTRICTED FORMAT A10
COLUMN OPEN_TIME FORMAT A30
 
SELECT NAME, OPEN_MODE, con_id  FROM V$PDBS
SQL /

NAME   OPEN_MODE      CON_ID
--------------- ---------- ----------
PDB$SEED  READ ONLY     2
ORCLPDB  READ WRITE     3
ORCLPDBA  READ WRITE     4
ORCLPDBB READ WRITE     5

I then went into all 3 PDB's and created a local copy of DBA_OBJECTS and DBA_TABLES.

connect sys/oracle@localhost:1521/orclpdb as sysdba

grant dba to c##bgrenn;

create table c##bgrenn.local_objects as select * from dba_objects;

create table c##bgrenn.local_tables as select * from dba_tables; 

Connected.
SQL

Grant succeeded.

SQL 

Table created.

SQL 

 Table created.

SQL

Step 3 - Now that the same objects are created with data in all 3 PDB's, I can now do a combined query from the root PDB.  The next step is create a table in the CDB (root PDB) that is empty.

create table c##bgrenn.local_objects as select * from dba_objects where 1=0;

create table c##bgrenn.local_tables as select * from dba_tables where 1=0;

Table created.

Table created.

Then finally query and see the rows in the local_objects tables across all the PDB's

select count(*) from containers(c##bgrenn.local_objects) where con_id in (3) ;
  COUNT(*)
----------
     90925
select count(*) from containers(c##bgrenn.local_objects) where con_id in (4) ;
  COUNT(*)
----------
     90923
select count(*) from containers(c##bgrenn.local_objects) where con_id in (5) ;
  COUNT(*)
----------
     90925
select count(*) from containers(c##bgrenn.local_objects)  ;
 
  COUNT(*)
----------
    272773

Step 4 - Now to  look at the explain plan for one of the tables across containers

SET LINESIZE 130
SET PAGESIZE 0
SELECT * FROM table(DBMS_XPLAN.DISPLAY);
SQL> SQL> Plan hash value: 1439328272

----------------------------------------------------------------------------------------------------------------------
| Id  | Operation                   | Name       | Rows  | Bytes | Cost (%CPU)| Pstart| Pstop |    TQ  |IN-OUT| PQ Distrib |
----------------------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT            |            |     1 |   381 |     0   (0)|       |       |        |      |         |
|   1 |  PX COORDINATOR     |       |            |       |       |            |       |       |        |      |
|   2 |   PX SEND QC (RANDOM)       | :TQ10000   |     1 |   381 |            |       |       |  Q1,00 | P->S | QC (RAND)  |
|   3 |    PX PARTITION LIST ALL    |            |     1 |   381 |            |     1 |   254 |  Q1,00 | PCWC |         |
|   4 |     FIXED TABLE FULL        | X$CDBVW$   |     1 |   381 |            |       |       |  Q1,00 | PCWP |         |
----------------------------------------------------------------------------------------------------------------------

Finally, this is the explain plan for a join query to get all the tables

explain plan for
select *
  from containers(c##bgrenn.local_objects) a,
       containers(c##bgrenn.local_tables) b
where
  a.object_name = b.table_name and
  a.object_type = 'TABLE';

SET LINESIZE 150
SET PAGESIZE 0
SELECT * FROM table(DBMS_XPLAN.DISPLAY);

  2    3    4    5    6    7  
Explained.

SQL> SQL> SQL> SQL> Plan hash value: 198107036

-------------------------------------------------------------------------------------------------------------------------------------
| Id  | Operation                    | Name      | Rows  | Bytes | Cost (%CPU)| Time     | Pstart| Pstop |    TQ    |IN-OUT| PQ Distrib |
-------------------------------------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT             |           |     1 |  1226 |     0     (0)| 00:00:01|       |       |        |      |        |
|   1 |  PX COORDINATOR              |           |       |       |            |           |       |       |        |      |        |
|   2 |   PX SEND QC (RANDOM)        | :TQ10002  |     1 |  1226 |     0     (0)| 00:00:01|       |       |  Q1,02 | P-S  | QC (RAND)  |
|*  3 |    HASH JOIN BUFFERED        |           |     1 |  1226 |     0     (0)| 00:00:01|       |       |  Q1,02 | PCWP |        |
|   4 |     PX RECEIVE               |           |     1 |   381 |            |           |       |       |  Q1,02 | PCWP |        |
|   5 |      PX SEND HYBRID HASH     | :TQ10000  |     1 |   381 |            |           |       |       |  Q1,00 | P-P  | HYBRID HASH|
|   6 |       STATISTICS COLLECTOR   |           |       |       |            |           |       |       |  Q1,00 | PCWC |        |
|   7 |        PX PARTITION LIST ALL |           |     1 |   381 |            |           |     1 |   254 |  Q1,00 | PCWC |        |
|*  8 |     FIXED TABLE FULL         | X$CDBVW$  |     1 |   381 |            |           |       |       |  Q1,00 | PCWP |        |
|   9 |     PX RECEIVE               |           |     1 |   845 |            |           |       |       |  Q1,02 | PCWP |        |
|  10 |      PX SEND HYBRID HASH     | :TQ10001  |     1 |   845 |            |           |       |       |  Q1,01 | P-P  | HYBRID HASH|
|  11 |       PX PARTITION LIST ALL  |           |     1 |   845 |            |           |     1 |   254 |  Q1,01 | PCWC |        |
|  12 |        FIXED TABLE FULL      | X$CDBVW$  |     1 |   845 |            |           |       |       |  Q1,01 | PCWP |        |
-------------------------------------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   3 - access("A"."OBJECT_NAME"="B"."TABLE_NAME")
   8 - filter("A"."OBJECT_TYPE"='TABLE')

25 rows selected.

This looks like a very useful feature to get a high level view of all PDB's.  The things to note are.

1) You need to use a common user and this user needs to be the schema owner in all PDB's
2) By looking at the plan, I'm sure there is some high level view that does this using partitions.