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pr ligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

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Page 1: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

AMulti-Source Time-Variant

DatawarehouseCase Study

Session# 36605

byArup Nanda

Proligence, Inc.Norwalk, CT

Page 2: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Objectives

• Exploring DW Techniques in Oracle• Case Study• Oracle 10G Additions

Page 3: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Datawarehouse

Cust1

Cust2

Cust3

Cust4

Cust10

Cust9

Cust8

Cust7

Cust11 ?

Cust5 Cust6

DB3 DB6DB4 DB5

DB1 DB2

Page 4: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

A Real Life Case

• Claims Datawarehouse• Several Customers/Sources• Several Quarters• Data Volume Was High• Irregular Frequency• Data Comes Often Late• Near Real Time Requirements

Page 5: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

DetailTable

DetailTable

SummaryTable

SummaryTable

DetailTable

DetailTable

CUST2

Problem of Irregular Data

DBMS_MVIEW.REFRESH (…)

Page 6: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Problems

• Incoming Data Irregular• Summary Tables Need Refreshing• Quarters Added Continuously• Archival Requirements Vary Across Customers• Quick Retrieval of Archival Needed

Page 7: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Problems contd.

• Summary on Summary Tables as Materialized Views

• Need Refresh Whenever New Data Arrives• Or When Data is Purged/Reinstated• Customers Added and Deleted Frequently

Page 8: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Objective

• To Minimize Downtime for Refreshes– Incrementally Refresh– Partitioning Techniques

• To Add Customers Easily• To Add Quarters Easily• To Archive Off and Purge Easily and Atomically• To Restore Archives Quickly

Page 9: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Objective contd.

• To have an ETL Setup for Easy Addition of Objects Such As Tables, Indexes, Mat Views.

• Use Only Available Oracle and Unix Tools– PL/SQL– Unix Shell Scripts– SQL*Plus

Page 10: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Design

• Varying Dimensions – – Customer – Quarter

• Composite Partitioning– Range (for Quarters)– List (for Customers)

• Local Indexes

Page 11: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Partitioning

• Partitioned on CLAIM_DATE– RANGE– Partitioned named YyyQq– Storage Clauses Not Defined

• Supartitioned on CUST_NAME– LIST– Named YyyQq_CustName, e.g. Y03Q3_CUST1

Page 12: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Indexing

• All Indexes LocalCREATE INDEX IN_CLAIM_SUM_01

LOCAL

ON SUMTAB1 (COL1, COL2)…

• No Indexes UNIQUE and GLOBAL

Page 13: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Storage

Each Subpartition – of Index or Table is kept in separate tablespaces named in the format

Y<Year>Q<Qtr>_<CustName>_DATAe.g. Y02Q2_CUST1_DATA Y02Q2_CUST2_DATA

Y03Q3_CUST1_DATA

Page 14: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Quarter

Cust

omer

s Cust3Y03 Q3

Table

In Tablespace Y03Q3_CUST3_DATA

Cust3Y03 Q3

Index

In Tablespace Y03Q3_CUST3_INDX

Page 15: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Tablespace

create tablespace y03q3_cust1_data

datafile ‘/oradata/y03q3_cust1_data_01.dbf’

size 500m

autoextend on next 500m

extent management local

segment space management auto

Page 16: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Table DDLCREATE TABLE TAB1( … )PARTITION BY RANGE (CLAIM_DATE)SUBPARTITION BY LIST (CUST_NAME) ( PARTITION Y03Q1 VALUES LESS THAN (TO_DATE(‘2003/04/01’,’YYYY/MM/DD’)), ( SUBPARTITION Y03Q1_CUST1 VALUES (‘CUST1’) TABLESPACE Y03Q1_CUST1_DATA, SUBPARTITION Y03Q1_CUST2 VALUES (‘CUST2’) TABLESPACE Y03Q1_CUST2_DATA, … and so on for all subpartitions … SUBPARTITION Y03Q1_DEF VALUES (DEFAULT) TABLESPACE USER_DATA ), PARTITION Y03Q2 VALUES LESS THAN (TO_DATE(‘2003/07/01’,’YYYY/MM/DD’)), ( SUBPARTITION Y03Q2_CUST1 VALUES (‘CUST1’) TABLESPACE Y03Q2_CUST1_DATA, SUBPARTITION Y03Q2_CUST2 VALUES (‘CUST2’) TABLESPACE Y03Q2_CUST2_DATA, … and so on for all subpartitions … SUBPARTITION Y03Q2_DEF VALUES (DEFAULT) TABLESPACE USER_DATA ), … and so on for all the partitions … PARTITION DEF VALUES LESS THAN (MAXVALUE), ( SUBPARTITION DEF_CUST1 VALUES (‘CUST1’) TABLESPACE USER_DATA, SUBPARTITION DEF_CUST2 VALUES (‘CUST2’) TABLESPACE USER_DATA, … and so on for all subpartitions … SUBPARTITION DEF_DEF VALUES (DEFAULT) TABLESPACE USER_DATA ))

Page 17: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Index DDLCREATE INDEX IN_TAB1_01 ON TAB1 (COL1)LOCAL NOLOGGING( PARTITION Y03Q1 ( SUBPARTITION Y03Q1_CUST1 TABLESPACE Y03Q1_CUST1_INDX, SUBPARTITION Y03Q1_CUST2 TABLESPACE Y03Q1_CUST2_INDX, … and so on for all subpartitions … SUBPARTITION Y03Q1_DEF TABLESPACE USER_DATA ), PARTITION Y03Q2 ( SUBPARTITION Y03Q2_CUST1 TABLESPACE Y03Q2_CUST1_INDX, SUBPARTITION Y03Q2_CUST2 TABLESPACE Y03Q2_CUST2_INDX, … and so on for all subpartitions … SUBPARTITION Y03Q2_DEF TABLESPACE USER_DATA ), … and so on for all the partitions … PARTITION DEF ( SUBPARTITION DEF_CUST1 TABLESPACE USER_DATA, SUBPARTITION DEF_CUST2 TABLESPACE USER_DATA, … and so on for all subpartitions … SUBPARTITION DEF_DEF TABLESPACE USER_DATA ))

Page 18: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Creating DDLs

StaticPart

StaticPart

VariablePart

VariablePart

create table tab1(………)

partition y03q1 (subpartition y03q1_cust1 tablespace …)

DDL toCreateTable

DDL toCreateTable

Page 19: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Constraints

Constraints defined asDISABLE NOVALIDATE RELY

ALTER TABLE … ADD CONSTRAINT …RELY DISABLE NOVALIDATE;

Page 20: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Constraint

• VALIDATE/NOVALIDATE– Table TAB1 (Column: STATUS)– Current Values A, I, F– Check Constraint: STATUS IN (‘A’,’I’)

• ENABLE/DISABLE– New Value ‘F’

• RELY

Page 21: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

RELY

Reasons• To Include Relation Information to the

Metadata• To Enable Query Rewrite

Page 22: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Summary Tab and View

Summary Table

CUST_NAMECLAIM_DATEPROVIDER_IDNUM_CLAIMSNUM_LINES

ViewSELECT‘CUST1’ AS CUST_NAME,CLAIM_DATE,PROVIDER_ID,COUNT(DISTINCT CLAIM_ID) AS NUM_CLAIMS,COUNT(*) AS NUM_LINESFROM ….GROUP BY …

On Source

On DW

Page 23: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Casting

SELECT CAST (CUST_NAME AS VARCHAR2(20))AS CUST_NAMEFROM <viewname>

CAST (column_name AS datatype (precision))

Page 24: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

cust1

SummaryTable

SummaryTable

DW

ViewView

Owned byCust Schema

TemporaryTable

Index ofTemporary

Table

Massaging

Analyzing

Filter:Where CLAIM_DATE

is in that quarter

INDEX

TABLE

For Customer Cust1 and Quarter Q1

Page 25: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

cust

DW

ViewView

Old Sub Partition

Old Sub Partition

INDEX

TABLE

ALTER TABLE … EXCHANGE SUBPARTITION subpartnameWITH TEMPTABLEINCLUDING INDEXES

Page 26: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Technique

• Not Using DBMS_MVIEW.REFRESH• MV is always STALE

Page 27: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Temp TableCREATE TABLE T1_Y03Q1_CUST1TABLESPACE Y03Q1_CUST1_DATAPARALLEL 8 NOLOGGING ASSELECT …FROM CUST1.VIEW1@DB1WHERE CLAIM_DATE >=add_months(trunc(to_date(‘03','RR'),'YYYY'), 3*(to_number(‘1')-1))and batch_date < last_day(add_months(trunc( to_date(‘03','RR'),'YYYY'), 3*(to_number(‘1')) - 1 )) + 1

Page 28: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

ScriptCREATE TABLE T1_Y&&YY.Q&&Q._&&CUSTTABLESPACE Y&&YY.Q&&Q._&&CUST._DATAPARALLEL 8 NOLOGGING ASSELECT …FROM &&CUST..VIEW1@&&DBLINKWHERE CLAIM_DATE >=ADD_MONTHS(TRUNC(TO_DATE('&&YY','RR'),'YYYY'), 3*(TO_NUMBER('&&Q')-1))AND BATCH_DATE < LAST_DAY(ADD_MONTHS(TRUNC( TO_DATE('&&YY','RR'),'YYYY'), 3*(TO_NUMBER('&&Q')) -1 )) + 1

Page 29: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

External Table

ReasonSource is a non-Oracle DB, e.g. DB2Source is External, no DB Link Allowed

Fixed Format –vs- DelimitedFixed Format

Faster, EasierMore Space

DelimitedLess SpaceSlower, Slightly More Complex

Page 30: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Massaging

• Removing NOT NULL Constraints• Making Datatypes Consistent

– The CAST operation converts NUMBER(m,n) to NUMBER

– cast(col1 as number(10,2)) as col1_m

– COL1 NUMBER(5,2)– COL1_M NUMBER

Page 31: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Analyzing• Using DBMS_STATS.GATHER_TABLE_STATS• PARALLEL Degree

dbms_stats.gather_table_stats ( ownname => ‘DWOWNER', tabname => '&&TABNAME', estimate_percent => dbms_stats.auto_sample_size, method_opt => 'FOR ALL INDEXED COLUMNS SIZE AUTO', degree => dbms_stats.default_degree, cascade => TRUE );

Page 32: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Mat Views

MVs Created as TablesCREATE TABLE MV_SUMMTAB1

Storage clauses just like the underlying tableCREATE MATERIALIZED VIEW

MV_SUMMTAB1

ON PREBUILT TABLE

AS SELECT ……

http://www.proligence.com/painless_alter.pdf

Page 33: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Query Rewrite

Table SUM_CLAIMS PROVIDER_ID, STATE, TYPE, TOT_AMT

Table MV_SUM_CLAIMS PROVIDER_ID, STATE, SUM(TOT_AMT) TOT_AMTGROUP BY PROVIDER_ID, STATE

SELECT SUM(TOT_AMT) FROM SUM_CLAIMSSELECT SUM(TOT_AMT) FROM

MV_SUM_CLAIMS

Page 34: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Query Rewrite

Init.ora Parametersquery_rewrite_enabled='TRUE'query_rewrite_integrity='STALE_TOLERATED‘

ENFORCED – Rewrite only if guaranteedTRUSTED – Uses only if RELYSTALE_TOLERATED – Even if not RELY

Page 35: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Checking QR

dbms_mview.explain_rewrite (‘select cust_name, count(*) from summtab1 group by

cust_name’ );

select message from rewrite_table;

QSM-01033: query rewritten with materialized view, MV_SUMMTAB1

QSM-01101: rollup(s) took place on mv, MV_SUMMTAB1

Page 36: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Design …

MV_* subpartitions are on the same tablespace as the parents.

Subparts of MV_SUMMTAB1_0? are in the same TS as SUMMTAB1

Subparts of MV_SUMMTAB2_0? in SUMMTAB2

Page 37: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Custom

er na

me Quarter

PARENT

MV1

MV2

TableSpace1 TableSpace2

Page 38: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

MV and Parents

• Partition Pruning• Partition-wise Joins• Partition Independence

Page 39: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Adding Quarters/Customers

• Partition– Default Partition – VALUES LESS THAN

(MAXVALUE)• Subpartition

– Default Subpartition – VALUES (DEFAULT)

Page 40: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Qtr1 Qtr2 Qtr3 DEF

Cust1

Cust2

Cust3

DEF

Page 41: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Qtr1 Qtr2 Qtr3 DEF

Cust1

Cust2

Cust3

DEF

Page 42: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Qtr1 Qtr2 Qtr3 DEF

Cust1

Cust2

Cust3

DEF

Cust4

alter table … split subpartition

Page 43: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Qtr1 Qtr2 Qtr3 DEF

Cust1

Cust2

Cust3

DEF

Page 44: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Qtr1 Qtr2 Qtr3 Qtr4

Cust1

Cust2

Cust3

DEF

DEF

alter table … split partition

Page 45: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Backup/Restore

• Backup– ALTER TABLESPACE <TSName> READ ONLY– Copy the files to tape/CD.

• Restore– Copy the file back into the directory– ALTER TABLESPACE <TSName> RECOVER

Page 46: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Archival/Purge

SP1 SP2 SP3Table

SP4

SP1 SP2 SP3Table

Table4

SP1 SP2 SP3 SP4Table Table4

Table4

Page 47: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Archival/PurgeCREATE TABLE S1_Y<yy>Q<q>_<CustName>TABLESPACE Y<yy>Q<q>_<CustName>_<TSType> AS SELECT * FROM SUMMTAB1 WHERE 1=2/CREATE INDEXES, CONSTRAINTS, etc./ALTER TABLE SUMMTAB1 EXCHANGE SUBPARTITION Y<yy>Q<q>_<CustName> WITH TABLE Y<yy>Q<q>_<CustName> INCLUDING INDEXES/

Page 48: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Check TTS

ALTER TABLESPACE Y<yy>Q<q>_<CustName>_<TSType> READ ONLY;

DBMS_TTS.TRANSPORT_SET_CHECK ( <DataTS>,<IndexTS>) ;

SELECT * FROM TRANSPORT_SET_VIOLATIONS;

Page 49: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Transport TS

Export Parameter FileTRANSPORT_TABLESPACE=y TTS_FULLCHECK=YFILE=‘<FileLocation>/exp<TS>.dmp’TABLESPACES=(<DataTS>, <IndexTS>)

Copy the exp.dmp and Datafiles to tape/CD.

Page 50: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Purge

Drop SubpartitionDrop the Tablespace

DROP TABLESPACE <TSName> INCLUDING CONTENTS AND DATAFILES;

Page 51: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Restore

• ALTER TABLE SPLIT SUBPARTITION <DefaultSP>

• Copy Datafiles & Export Dump Files from CD/Tape

• Import Parameter FileTRANSPORT_TABLESPACES=YTABLESPACES=(<DataTS>,<IndexTS>)DATAFILES=(…)

Page 52: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Minimizing Refresh Unit

• Months – instead of quarters refreshed at a time.• Last Quarter Split into a Subpartition per Month• Naming Convention

– YyyQqMmm– Y03Q3M09

• Merge Subpartition

Page 53: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Merging Subpartitions

• Index Subpartitions Created in User’s Default Tablespace

• Subpartition TemplateALTER TABLE SUMTAB1 ADD SUBPARTITION

TEMPLATE

Page 54: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Resumable Statement• When?

– Running Large Report Jobs– Creating Large Indexes

• ALTER SESSION ENABLE RESUMABLE NAME ‘Job1’;• View DBA_RESUMABLE

– NAME – Name specified in ALTER SESSION– COORD_SESSION_ID – Coord Session in PQ– SQL_TEXT – The text of the SQL– STATUS - RUNNING, SUSPENDED, ABORTED, ABORTING,

TIMEOUT – ERROR_NUMBER/ERROR_MSG

Page 55: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Objectives Revisited

• To Minimize Downtime for Refreshes– Incrementally Refresh– Partitioning Techniques

• To Add Customers Easily• To Add Quarters Easily• To Archive Off and Purge Easily and Atomically• To Restore Archives Quickly

Page 56: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Oracle 10G

• Transportable Tablespaces Can Be Reinstated At a Different Operating System– Can be used for Restoring to a Different OS

• Tablespaces Can Be Renamed– Restoring Tablespace of the Same Name

• Multiple Temporary Tablespace– For Large Index Creation, Sorting, etc.

Page 57: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Oracle 10G contd.

• Partition Change Tracking Support for List Partitioning

• Query Rewrites Can Use Multiple MVs• OEM Shows All Partitioning Features• Data Pump

– Export/Import on Steroids– Parallel Operation

Page 58: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Oracle 10G contd.

• External Table Download– A Utility to Create File from Table Data

CREATE TABLE …

ORGANIZATION EXTERNAL

AS SELECT * FROM <a query>

– Platform Independent File– Can Be Used In External Tables

Page 59: Prligence Empowering Intelligence A Multi-Source Time-Variant Datawarehouse Case Study Session# 36605 by Arup Nanda Proligence, Inc. Norwalk, CT

pr ligence Empowering Intelligence

Thank You!

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