4 Easy Tips to Dramatically Improve Integration Performance with Oracle

Michael_SAS — Tue, 08 Feb 2011 17:13:12 GMT

face=Calibri>Four simple things to do to improve Data Integration performance
with Oracle

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Change default READBUFF
settings for Oracle!
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READBUFF=1 means that only
one row is retrieved at a time. Oracle defaults to 250, in almost every case
significant performance can be obtained changing that to 1000. For example:

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libname

face="Courier New"> ora oracle user=sh pass=sh path=ora10g
READBUFF=
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face="Courier New">1000
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size=3>NOTE: DB2 is the exception to this rule, SAS/Access to
DB2 automatically determines the optimal READBUFF setting based on the
row-length of your result set.

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Compress your SAS datasets!

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There are two methods by
which to implement data set compression in SAS. The overhead of uncompressing is
negligible compared to the I/O performance gains.

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Data Set Option – manually
add an option to each Data Set that you create to compress it. For example DATA
A (COMPRESS=YES); SET X; RUN. In DI
Studio, simply go to the options tab of the table to set the option.

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System Option – the other
method is to set a system option COMPRESS=YES. When you set the system option
ALL SAS Data Sets are compressed. We recommend using the system option to insure
that all data sets are compressed.

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class=MsoListParagraphCxSpMiddle>NOTE: While
compress doesn’t improve RDBMS performance it improves the I/O interactions
between SAS and the RDBMS.

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class=MsoListParagraphCxSpMiddle>NOTE:
style="mso-spacerun: yes"> Not only can you compress your SAS Data
Sets but Oracle and other RDBMS also support Table level Compression. Oracle
table compression not only saves disk space, it also helps to increase cache
efficiency since more blocks can now fit in the memory. To do this you simply
need to pass an option when you create the table. For example data
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Use Bulk Loaders when you
need to load large stuff fast!

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style="FONT: 7pt 'Times New Roman'">DI
Studio has made bulk loading easy. The Loader transform loads data into tables
using both inserts, updates and bulk load operations. to invoke the bulk loader
simply set the option BULKLOAD = YES. The loader also provides RDBMS specific
options, for example with the Oracle loader you can do direct path loads simply
by setting the direct path optoin BL_DIRECT_PATH=YES.

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class=MsoListParagraphCxSpLast>In SAS code,
face=Calibri>SAS has made it simple BULKLOAD=YES will invoke the bulk load
utilities for most RDBMS. Each SAS/Access Engine provides RDBMS specific loader
options for example to get the best performance with Oracle use the
BL_DIRECT_PATH=YES option to perform a direct path load.
style="mso-spacerun: yes"> Here are the three most common examples
of bulk loading:

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class=MsoListParagraphCxSpLast>Example 1: OC SQL - create a
new table and bulk load it OR
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results to an existing table.

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o.PROCSQLBL

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style="mso-spacerun: yes"> (BULKLOAD=yes
BL_DIRECT_PATH=YES)

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*
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sales_1;

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TABLE o.PROCSQLBL

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BL_DIRECT_PATH=YES)

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*
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sales_1;

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Example 2:

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STEP – create a new table and load it.

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o.DATASTEPBL

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BL_DIRECT_PATH=YES);

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3.
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APPEND – append results to an existing table.

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(BULKLOAD=yes BL_DIRECT_PATH=YES)

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size=3>4. Gather, Collect, and Analyze
Table Statistics! The number one performance problem relational database (RDBMS)
is the lack of table level statistics for the RDBMS’ SQL optimizer. SAS
contributes to the problem because SAS makes it so easy to create tables; users
often overlook the gathering of optimizer statistics. You must gather statistics
periodically for table objects where the statistics become stale over time
because of changing data volumes or changes in column values. New statistics
should be gathered after a tables data or structure is modified. For example you
should gather statistics after any of the following:

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After loading a significant number of rows into a
table.

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After table structure has changed

Here is
an example of how to do this with Oracle

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Oracle( USER=XX PASSWORD=XX path=ORA10g);

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(

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ownname =>
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style="mso-spacerun: yes">  tabname =>
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) )
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oracle;

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oracle;

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Note: a
best practice is to simply have an administrator setup a scheduled job to gather
schema statistics periodically.

topic Re: 4 Easy Tips to Dramatically Improve Integration Performance with Oracle in SAS Data Management

4 Easy Tips to Dramatically Improve Integration Performance with Oracle

Re: 4 Easy Tips to Dramatically Improve Integration Performance with Oracle

Re: 4 Easy Tips to Dramatically Improve Integration Performance with Oracle

Re: 4 Easy Tips to Dramatically Improve Integration Performance with Oracle

Re: 4 Easy Tips to Dramatically Improve Integration Performance with Oracle