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Oracle Database 11g New Features for BI / DW. New Partitioning Methods Invisible indexes PIVOT / UNPIVOT OLAP and SQL. Agenda. Database Enterprise Edition 11g (11.1.0.7.0) SQLDeveloper 11g (1.5.1) Warehouse Builder 11g (11.1.0.7.0) Analytical Workspace Manager (11.1.0.7.0B).
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New Partitioning Methods • Invisible indexes • PIVOT / UNPIVOT • OLAP and SQL Agenda
Database Enterprise Edition 11g (11.1.0.7.0) • SQLDeveloper 11g (1.5.1) • Warehouse Builder 11g (11.1.0.7.0) • Analytical Workspace Manager (11.1.0.7.0B) Oracle Product Stack
Oracle Experience • Oracle Education: 2001 - 2006 • Oracle Consulting: 2006 - 2007 • Bicon 2007 – • Oracle Certifications • Oracle Certified Professional DBA 8i • Oracle Certified Professional DBA 9i • Oracle Certified Professional DBA 10g • Oracle Certified Associate PL/SQL 10g About Me
Started in 2005 • Currently 8 employees • Consulting • Business Intelligence • DBA • Project Management About Bicon AS
Simulated Sales-application • Customer • Geography (Region / Warehouse / Customer) • Market Segment (Market / Account /Customer) • Product • Category (Class / Family / Product) • Channel Demo Case
CUSTOMER DIMENSION CUSTOMERS UNITS FACT CHANNEL DIMENSION TIME DIMENSION OWB PRODUCT DIMENSION CHANNELS ORDERS AWM PRODUCTS UNITS CUBE Demo Case
New Partition / Subpartition combinations • LIST - HASH • LIST – LIST • LIST – RANGE • RANGE – RANGE • New Partitioning Methods • System Partitioning • Interval Partitioning • Virtual Partitioning • Reference Partitioning Partitioning
Range Partitioning • Specify the first partition • Specify the interval for new partitions • New partitions generated when needed Interval Partitioning
PARTITION BY RANGE (YEAR_NUMBER) INTERVAL (1) ( PARTITION BEFORE_2007 VALUES LESS THAN (2007) ); TIME DIMENSION TIME DIMENSION TIME DIMENSION 2006 BEFORE_2007 2007 SYS_P1004 2008 SYS_P1013 Interval Partitioning
Virtual column • Not stored in the database • Calculated on the fly • Can’t be manipulated (DML) • Virtual Partitioning • Partioning on the virtual column • All Partitioning methods Virtual Partitioning
CREATE TABLE CUSTOMER ( SHIP_TO_ID VARCHAR2(16 BYTE) NOT NULL, …………….. ………………………… …………..., WAREHOUSE_ID VARCHAR2(3 BYTE) NOT NULL, MARKET_SEGMENT_ID VARCHAR2(3 BYTE) NOT NULL , WAREHOUSE_MARKET_ID VARCHAR2(7) GENERATED ALWAYS AS ( WAREHOUSE_ID||' '||MARKET_SEGMENT_ID ) VIRTUAL ) PARTITION BY HASH(WAREHOUSE_MARKET_ID) PARTITIONS 5; Virtual Partitioning
Uses Foreign Key to partition a table • Partition key can be any column in the referenced table (not just the Primary Key) • Partition operations in the referenced table is automatic propagated Reference Partitioning
CREATE TABLE PRODUCT_DIM (ITEM_ID VARCHAR2(12) PRIMARY KEY, ....... ................. ......................., CLASS_ID VARCHAR2(4) NOT NULL) PARTITION BY LIST (CLASS_ID) ( PARTITION p_hrd VALUES('HRD'), PARTITION p_sft VALUES('SFT') ); PRODUCT DIMENSION P_HRD Reference Partitioning P_SFT
CREATE TABLE UNITS_FACT ( ITEM_ID VARCHAR2(12 BYTE) ....... ................. CONSTRAINT UNITS_FACT_PROD_FK FOREIGN KEY (ITEM_ID) REFERENCES PRODUCT_DIM (ITEM_ID) ) PARTITION BY REFERENCE (UNITS_FACT_PROD_FK); PRODUCT DIMENSION UNITS_FACT UNITS_FACT_PROD_FK P_HRD P_HRD Reference Partitioning P_SFT P_SFT
ALTER TABLE PRODUCT_DIM ADD PARTITION P_DEF VALUES(DEFAULT); PRODUCT DIMENSION PRODUCT DIMENSION UNITS_FACT UNITS_FACT UNITS_FACT_PROD_FK P_HRD P_HRD Reference Partitioning P_SFT P_SFT P_DEF P_DEF
Problem: Maintenance of the referenced table • Cannot disable Foreign Key • Cannot disable Primary Key (parent-table) • You can drop the Primary Key (parent-table) but: Reference Partitioning
Indexes can be made invisible for the Optimizer • Invisible Indexes will still be maintained • Optimizer_use_invisible_indexes • Controls the use of Invisible Indexes • Is modifiable in each session • TRUE: Optimizer will consider Invisible indexes • FALSE: Optimizer will not consider Invisible Indexes Invisible Indexes
New Syntax for Pivot / Unpivot • Use the original query as an Inline View • Benefits: • More readable queries (Both PIVOT / UNPIVOT) • No need to use a dummy resultset. (UNPIVOT) • Full flexibility using XML as resultset PIVOT / UNPIVOT
Use SQL to access OLAP-objects (CUBE_TABLE) • Use Materialized View Refresh for OLAP-objects • Use Query Rewrite against OLAP-cubes SQL and OLAP
Access OLAP-objects with new table-function • FROM TABLE(CUBE_TABLE(’dimension’)); • FROM TABLE(CUBE_TABLE(’dimension;hierachy’)); • FROM TABLE(CUBE_TABLE(’cube’)); • Access OLAP-objects with default-views • Generated when creating OLAP-objects • Uses CUBE_TABLE SQL and OLAP – Cube Table
Dimensions Materialized View Refresh • Complete • On Demand / Scheduled • Trusted / Enforced Constraints • Cubes Materialized View Refresh • Complete / Fast / Force • On Demand / Scheduled / On Commit • Trusted / Enforced Constraints SQL and OLAP - Materialized View
SELECT COL1, COL2, COL3, SUM(COL4) FROM D1, D2, D3, D4, F WHERE D1.PK=F.FK1 AND D2.PK=F.FK2 AND D3.PK=F.FK3 AND D4.PK=F.FK4 GROUP BY COL1, COL2, COL3; Query Rewrite MATERIALIZED VIEW OLAP CUBE D1 D2 F SQL and OLAP - Materialized View D3 D4
General limitations • Cubes must be compressed • Cubes must have • Dimensions • Normal Hierarchies (Not ragged / skip) • Levels • Measures • Query Rewrite Limitations • All dimensions aggregated in the same way SQL and OLAP - Materialized View