2. DB2 uses row-organized tables Good for OLTP Storage required
for tables and indexes Fetching Large table is i/o Intensive What
are we doing now 3. Row Organized Table Employee ID Last Name First
Name Salary 1 Manager SuperPay 10000000 2 DBA HighPressure 80000 3
Programmer BlameDBA 100000 4 Tester BlameAllOthers 100000 5 CEO Iam
Boss 1000000000000000 1, Manager, SuperPay, 10000000; 2, DBA,
Highpressure, 80000; 3, Programmer, BlameDBA, 100000 PAGE 1 PAGE 2
4. Works like this db2 select salary from schema.employee where
salary < 20000000; Employee ID Last Name First Name Salary 1
Manager Super Pay 10000000 2 DBA High Pressure 80000 3 Programmer
Blame DBA 100000 4 Tester Blame All Others 100000 5 CEO Iam Boss
1000000000000000 Employee ID Last Name First Name Salary 1 Manager
Super Pay 10000000 2 DBA High Pressure 80000 3 Programmer Blame DBA
100000 4 Tester Blame All Others 100000 db2 select c1, c2, c3 from
column100 where ; 97% 5. DB2 introduces column-organized tables
Good for OLAP Efficient Compression Whats New 6. How do I create
db2 "CREATE TABLE (colname datatype) ORGANIZE BY COLUMN; OR Set DB
CFG : dft_table_org OR Set DB2_WORKLOAD registry variable to
ANALYTICS 7. How does it look? ID 1 2 3 4 5 Last Name Manager DBA
Programmer Tester CEO First Name Superpay Highpressure BlameDBA
Blameallothers IamBoss Salary 1000000 80000 100000 100000
100000000000 PAGE 1 PAGE 2 PAGE 3 Employee ID Last Name First Name
Salary 1 Manager SuperPay 10000000 2 DBA HighPressure 80000 3
Programmer BlameDBA 100000 4 Tester BlameAllOthers 100000 5 CEO
IamBoss 1000000000000000 1 2 3 4 5 Manager DBA Programmer Tester
CEO Superpay Highpressure BlameDBA Blameallothers IamBoss Highly
Efficient Compression 8. ID 1 2 3 4 5 Last Name Manager DBA
Programmer Tester CEO First Name Superpay Highpressure BlameDBA
Blameallothers IamBoss Salary 1000000 80000 100000 100000
100000000000 Works like this db2 select salary from schema.employee
where salary < 20000000; Salary 1000000 80000 100000 100000 9.
Perform Efficient reads Store Data in a compressed format Achieve
disk savings Reduce I/O Rapid columnar operations- MIN, MAX, SUM,
COUNT and AVG Goal is to 10. OLAP/DSS systems Fetch subset of
columns Optimize analytic query performance Workloads accesses more
than 5-10% of data Ideal to use with 11. Which one to choose? Row
Organized Table Column Organized Table Suitable for OLTP Suitable
for OLAP I/O intensive Reduced I/O Limited compression Efficient
compression Can co-exist in the same DB, TBSP or Schema 12. Took
references from http://en.wikipedia.org/wiki/Column- oriented_DBMS
http://pic.dhe.ibm.com/infocenter/db2luw/v1
0r5/topic/com.ibm.db2.luw.admin.dbobj.doc/ doc/c0060592.html
http://it.toolbox.com/blogs/db2luw/column-
organized-table-storage-in-db2-105-with- blu-acceleration-57502
Welcome to BLU at http://ibmbluhub.com/get-blu/ 13. Thank you
Twitter : raja_iaf Linkedin : www.linkedin.com/in/lrajasekhar/ Blog
: coming soon.
