Etl2

ETL
There’s a New Sheriff in Town:
Oracle
OR…
Not Just another Pretty Face
Presented by: Bonnie O’Neil

Introduction
ETL (Extract, Transformation and Loading) is having a paradigm shift.
Previously, ETL was done with tools outside the database. Ab Initio,
Data Stage and Informatica were kings of the ETL world. However,
there were major disadvantages to this paradigm. Third party ETL
tools required a separate box because they had no controls on the
consumption of CPU resources.
Third party ETL tools were not integrated into the database. This
meant that ETL developers became experts in running the tool, but
often they had no knowledge on how the tool related to the database.
These tools often did not keep up with the new releases of Oracle and
would not take advantage of Oracle’s new features. In order to create
fast and efficient ETL processes, you needed to know both.

Introduction
Oracle 9i is changing the ETL paradigm.
Oracle 9i supports such important features as:
• External tables
• MERGE statements (INSERT/UPDATE)
• Conditional multi-table inserts
• Pipelined Table functions
• Native Compilation of PL/SQL programs

Introduction
With External Tables, you can now read flat files in parallel into a
virtual table. This virtual table can be accessed just as any other
table.
Flat
Files
Virtual
Table
With the MERGE statement, you can replace a complex
“update the row if it exists otherwise insert it” logic with
one easy to understand statement. With conditional
multi-table inserts, I can read a row from an external
table and insert it into many tables based upon
conditions. I can replace most ETL processes with a
relatively simple INSERT statement.
Pipelined table functions allow Oracle to pass a set of
rows to a function and send the results out after each
row is finished. With Native Compilation of PL/SQL
programs, I can now take a slow PL/SQL program and
compile it into C code and then link it to the database.

External Tables
The first component of the new Oracle ETL package is External Tables.
External Tables are flat files that Oracle can read and treat as regular
tables.
• No indexes can be on External tables.
• External Tables are read only ( No DML allowed )
In the past, you had to load the data to temporary tables utilizing
SQLLOADER, do some transformations, and then load the data into
tables. Now, you can just read the data straight from flat files. This
eliminates much overhead with rollback segments, writing out data to
the temporary table and Redo Log activity.
If you have enough memory, you can cache the table in memory.
Additionally, you can specify a degree of parallelism for accessing the
external flat files.

External Tables
Steps to using external tables.
• Create a directory for accessing the flat files. This is required by the
access driver.
CREATE DIRECTORY extdir AS ‘/u01/app/oracle/extfiles’;
• Grant access to the directory
GRANT read,write ON DIRECTORY extdir TO scott;
This Directory object is used in the External Table clause:
• Using the LOCATION clause for input files
• To specify the location for output files.

External Tables
External tables are based upon a
SQLLOADER format. In the
future, a format of EXPORT /
IMPORT will also be supported.
KEYWORD:
CREATE TABLE ….
ORGANIZATION EXTERNAL
TYPE:
type oracle_loader
create table tag_ext(
log_type varchar2(60),
user_id varchar2(128),
trans_id varchar2(64),
trans_name varchar2(128),
dttm timestamp(4))
organization external
(
type oracle_loader
default directory extdir
access parameters
…
DEFAULT DIRECTORY specifies the directory to use for input/output files
if no location is specified.

External Tables
Access Parameters - Contains two
sections
• Record Format
Contains information about
the record such as the format
of the records, names of
output files, and what rules
are used to exclude data from
being loaded.
…
access parameters
(
records delimited by newline
load when log_type=‘T1’
badfile extdir:’t1.bad’
nodiscardfile
logfile extdir:’t1.log’
skip 1
fields terminated by '|'
…
 Use SKIP statement if your flat file contains a header row.
 Output files can contain %p (process number) or %a (agent
number) as part of the filename to create unique output files.

External Tables
• Field Format
Describes what characters are used to separate fields, what
character is optionally used to enclose fields, and the data
format of the fields in the datafile.
…
fields terminated by '|'
missing field values are null
(
log_type char(60),
user_id char(128),
trans_id char(64),
trans_name char(128),
trx_class char(10),
dttm date(24) mask “dd-mm-yyyy hh24:mi:ssxff“
)
)

External Tables
Use the LOCATION clause to
specify the filenames of the input
files.
REJECT LIMIT specifies the
maximum number of rejected
records that are allowed. This
number applies to each parallel
slave used to query the data.
PARALLEL specifies the number of
access drivers that are started to
process the datafiles.
…
location(‘t1.dat’,‘t2.dat’)
)
reject limit unlimited
parallel 2
/

External Tables
Data Dictionary Views:
• DBA_EXTERNAL_TABLES
• DBA_EXTERNAL_LOCATIONS
Some DDL statements are allowed on external tables:
REJECT LIMIT, PARALLEL, DEFAULT LOCATION, ACCESS
PARAMETERS, LOCATION, ADD/MODIFY/DROP COLUMN, RENAME
TO
Performance Issues:
Fixed width is faster than delimited fields
Not writing log, bad and discard files
No conditions clauses

Merge Statement
Before Oracle 9i, a common load, which entailed updating a
row if it existed and if it does not insert the row, required two
statements or writing PL/SQL code. This data load now can be
done in a single statement.
This statement is sometimes called an UPSERT – a cross
between an update and an insert statement.
• The merge fires any Insert or Update Triggers.
• Cannot update the same row of the target table multiple
times in the same MERGE statement.
ORA-30926: unable to get a stable set of rows in the source
tables

Merge Statement
MERGE INTO tag t
USING tag_ext x
ON (t.user_id=x.user_id AND t.trans_id=x.trans_id)
WHEN NOT MATCHED THEN
INSERT(log_type,user_id,trans_id,trans_name,dttm)
VALUES(x.log_type,x.user_id,x.trans_id,x.trans_name,x.dttm)
WHEN MATCHED THEN
UPDATE SET
log_type=x.log_type,
trans_name=x.trans_name,
dttm=x.dttm
Update cannot update columns
Used in the ON condition
Source can be a table or
the results of a query

Merge Statement
Common Errors:
• Running merge statement and get
ORA-00904: <column_name>: invalid identifier
CAUSE: The reason for this is because you specified the column
name in ON clause and the UPDATE clause. Columns used in
the ON clause for the join cannot be updated.

Multi-table Inserts
In Oracle 9i, a single insert statement can place data values into
multiple tables, both unconditionally and conditionally. This is more
efficient than having to parse and execute several insert statements.
The format is an extension of the INSERT … SELECT statement.
• Unconditional Multi-table Insert
The ALL keyword is required.
INSERT ALL
INTO emp VALUES(empno,ename,title,salary)
INTO commision VALUES(empno,comm)
SELECT empno,ename,title,salary,salary*.10 comm
FROM employees_external;

Multi-Table Inserts
In addition, Oracle 9i allows a
conditional clause to be
included is a multi table
insert.
A conditional insert will insert
into a table if the WHEN
condition is true. You can
insert based on the FIRST
WHEN clause that evaluates
to true or ALL WHEN clauses
that evaluate to true.
INSERT FIRST
WHEN (title=‘Oracle DBA’) THEN
INTO high_paid_employees
VALUES(empno,ename,title,salary)
WHEN (title=‘SQL Server DBA’) THEN
INTO low_paid_employees
SELECT *
FIRST keyword means that each row will be evaluated until the row is
evaluated as true with a WHEN clause. After that the row is not
evaluated against the other WHEN conditions.

Multi-Table Inserts
Use the ALL keyword to specify that the INSERT should occur for all
WHEN clauses that evaluate to true.
INSERT ALL
WHEN (title=‘Oracle DBA’) THEN
INTO bonus_due
WHEN (salary > 100000) THEN
INTO high_paid_employees
ELSE
INTO low_paid_employees
SELECT *

Table Functions - Pipelined
Table functions produce sets of rows as output. Pipelined table
functions return the data iteratively, instead of in a batch, thus
eliminating the need for intermediate staging. Table functions use the
TABLE keyword.
• Table functions return not a single row but a set or collection of rows.
• The result set can be a nested table or varray.
• Table functions can be queried like any table in the FROM clause of a
query.
• Table functions can accept a collection type as input or a REF cursor.
• Table functions can be parallelized.
• Table functions can return all the rows at once or PIPELINE the
results as they are produced. (one row at a time).

KEYWORD: PIPELINED
PIPELINED functions use less memory because the object cache doesn’t
have to materialize the entire result set.
PIPELINED functions can accept a REF Cursor as an input parameter.
CREATE FUNCTION managerlist( cur cursor_emp_pkg.emp_cur )
RETURN emp_type_table
PIPELINED IS …
The keyword pipe row returns the row immediately rather than waiting
for all rows to be processed. Table functions can perform the complex
transformations in an efficient manner.

-- Create a Type to define the result type collection
CREATE OR REPLACE TYPE emp_type AS OBJECT(
empno number(4),
ename varchar2(10),
job varchar2(9),
Sal number(7,2))
/
-- Create a collection used as the return type
Create type emp_type_table as table of emp_type
/
-- Create a REF CURSOR as a package variable
CREATE OR REPLACE PACKAGE cursor_emp_pkg AS
type emp_rec is record (
empno number(4),
ename varchar2(10),
job varchar2(9),
sal number(7,2));
type strong_emp_cur is ref cursor return emp_rec;
End;
/

-- Create Function
CREATE FUNCTION DBA_LIST(cur cursor_emp_pkg.strong_emp_cur)
RETURN emp_type_table PIPELINED IS
out_rec emp_type := emp_type(NULL,NULL,NULL,NULL);
in_rec cur%ROWTYPE;
BEGIN
LOOP
FETCH cur INTO in_rec;
EXIT WHEN cur%NOTFOUND;
IF in_rec.job = 'DBA' THEN
out_rec.empno := in_rec.empno;
out_rec.ename := in_rec.ename;
out_rec.job := in_rec.job;
out_rec.sal := in_rec.sal;
PIPE ROW(out_rec);
out_rec.sal := in_rec.sal *.10;
PIPE ROW(out_rec);
END IF;
END LOOP;
CLOSE cur;
RETURN;
END;
/

SELECT empno,ename,job,sal from emp where job=‘DBA’;
EMPNO ENAME JOB SAL
---------- ---------- --------- ----------
7788 SCOTT DBA 3000
7902 FORD DBA 3000
SELECT *
FROM TABLE(DBA_LIST(CURSOR(SELECT empno,ename,job,sal FROM emp)));
EMPNO ENAME JOB SAL
---------- ---------- --------- ----------
7788 SCOTT DBA 3000
7788 SCOTT DBA 300
7902 FORD DBA 3000
7902 FORD DBA 300

OBSERVATIONS:
Explain plan output for Pipelined Table Functions
Rows Execution Plan
------- ---------------------------------------------------
0 SELECT STATEMENT GOAL: CHOOSE
4 VIEW
4 COLLECTION ITERATOR (PICKLER FETCH) OF 'DBA_LIST‘
Although the number of records returned is twice as many, the
SQL*Net roundtrips to/from client remained the same.
Many more recursive calls for the pipelined function.

Native Compilation
Before Oracle 9i, PL/SQL programs were compiled to P-code and
interpreted at runtime.
Interpreted languages are much slower than compiled languages.
This interpreted feature allows PL/SQL to be portable.
Oracle 9i offers an option to turn the PL/SQL code into C code
automatically. You write the same PL/SQL code and Oracle will
covert it, compile it and execute it when the PL/SQL code is called.
SQL statements do not run much faster. NO CODE CHANGES IN THE
PL/SQL CODE!

Native Compilation
To utilize Native Compilation, you must set several INIT.ORA
parameters.
plsql_compiler_flags=‘NATIVE’
• Default is INTERPRETED (can be changed at session level)
plsql_native_make_utility=‘/usr/ccs/bin/make’
plsql_native_make_file_name=
‘/u01/app/oracle/product/9.2.0/plsql/spnc_makefile.mk’
plsql_native_library_dir=‘/u01/app/oracle/lib’
• Location where shared libraries are created
plsql_native_c_compiler=‘/opt/SUNWspro/bin/cc’
plsql_native_linker=‘/usr/sbin/link’

Native Compilation
CREATE FUNCTION CALC_BONUS(…….
Produces a C file called CALC_BONUS__SCOTT__1.c and the
shared library file CALC_BONUS__SCOTT__1.so in the directory
defined by the parameter plsql_native_library_dir.
You can check to see how code was compiled by viewing the
PARAM_NAME and PARMA_VALUE from the dictionary view
DBA_STORED_SETTINGS
SELECT param_name,param_value
FROM user_stored_settings
WHERE object_name=‘CALC_BONUS’;
PARAM_NAME PARAM_VALUE
------------------------------ --------------------
plsql_compiler_flags NATIVE,NON_DEBUG

Native Compilation
Check metalink for latest patches and documents regarding
NATIVE compilation.
There are known bugs (unexpected features) with compiling on
a client versus the server.
• Error compiling from client.
PLS-00923: Native compilation falied: make:spdtexmk:?
Also, issues with 32 bit versus 64 bit O/S’s. On Sun 2.8, I ran
into a problem that had to be fixed by setting an environment
variable and bouncing the listener.

Conclusion
The ETL paradigm shift is under way. We will start seeing
more ETL be done inside the database as opposed to outside
the database. With the ETL processing done at the database
level, Oracle 9i can take advantage of resource allocations
using resource groups. These changes will eventually result
in a simpler and more efficient ETL process at a lower cost of
ownership.
Oracle 9i offers vast improvements in ETL functionality.
• Economics
• Efficiency
• Performance

Thank You
Suzanne Riddell
President
Apex Solutions, Inc.
303 216 9491...office
303 809 4914...cell
suzanne@apexsolutions.com
www.apexsolutions.com
"The Business Intelligence Source"

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