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OBIEE Governor

Exceeded error &

workaround

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_ _ files

Metadata_File: defines location for cache metadatafileReplace_Algorithm: for discarding entries if cache fullBuffer_Pool_Size: buffer for caching metadata file

Max_Rows_Per_Cache_Entry: upper limit on rows inresult

Max_Cache_Ent ry_Size: upper limit on size(#rows*#bytes/row)Max_Cache_Entries: upper limit on #of cached queries

The Following is an in detail Architectural configurationchanges that can be implemented for OBIEE Caching

1. Parameter: Enable

Turns caching on/off

Best PracticeSet to YES if you want caching

1. Parameter: Data_Storage_Paths

Defines the directory or directories to store cachedresult filesProvide location and capacity

DATA_STORAGE_PATHS =

d:\OracleBIData\nQSCache 500 MBLeast-recently-used cache is purged if full capacity

Best practice

use dedicated drive(s): performance andreliabilityuse local disk (not a file share). (Not enforced)capacity should be significantly larger than value
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of Max_Cache_Entry_Size

Caveats to be kept in mind

Disk space mustexist (or bad things willhappen)Capacity of each location must not exceed 4 GB(2 GB before 7.7)

1. Parameter: Replace_Algorithm

Algorithm used to purge cache entries when the cache is fullFull is either:

1. 1. Max_Cache_Entries have been created

2. Less than Max_Cache_Entry_Size space isavailable

Removes cache entry that has not been accessed for longesttime not necessarily the oldest created cache itemOnly choice is LRU (least-recently-used)

1. Parameter: Buffer_Pool_Size

Defines the amount of memory for caching the cachemetadata file.Parameter does not affect correctness/behavior ofcache purely a performance setting

Best practice

Dont change the default value. No/limitedperformance gains possible.

1. Parameter: Max_Rows_Per_Cache_Entry

Defines upper bound on number of rows in a cachedresult set
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Prevent large or runaway queries from consumingtoo much cacheQuery will run to completion, but if limit exceededresult will not be added to cache event is not loggedSet value to 0 if no limit is desiredVery large cache files are inefficient

stored in single file on disk

No indexes full sequential scan to access

Best practice

Define a non-zero value (less than 1,000,000 ifpossible)Max_Cache_Entry_Size is best place to definespace limit

1. Parameter: Max_Cache_Entry_Size

Defines limit onsize(#of bytes) of a cache entryUsed to prevent large cache entries from beingcreated. Query will not be cached if exceeds this limit.No logging of exceeding limit.Size: #of rows times #of bytes/row#of bytes per row calculation:

Unicode expansion (2x or 4x multiplier for charand varchar columns)

Column alignment overheadsNull value representation overhead

Cache is purged until Max_Cache_Entry_Size bytesare available

Best practice

Set value to at most 10% of cache capacity (ofsmallest cache director


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More effective limit thanMax_Rows_Per_Cache_Entry orMax_Cache_Entries

Caveats

Default value (1 MB) is fairly small. Manyqueries will hit this limit.

Posted in OBIEE Best Practices, OBIEE Cache Management,

OBIEE Caching, OBIEE Configuration, OBIEE Instance

Config Tags| Tagged: Configuring OBIEE Cache, OBI

Architecture, OBIEE Architecture, OBIEE Cache, OBIEE

Cache Architecture, Oracle BI| Leave a Comment

How to Secure Oracle BI Adhoc

Analytics / AnswersPosted by Raj Prashant Guthikonda on August 26, 2009

This Question pops up on the OTN forum on how to

secure Oracle BI Adhoc Analytics & Answers functionality,

My recent project was an integration warehouse effort

and had more of adhoc analytics application approach.

This was my approach on this

Create an OBI web catalog group named All Functional

Area Request Developers using Manage Presentation

Catalog Groups and Users. This role will only exist in

Presentation Services and be used as a way to

consolidate a ll the individual roles for each functional

area.
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This name has spaces and is mixed case so that it is

distinguishable from the roles that are synchronized with

the warehouse, similar to the Presentation Server

Administrators group.

Create a role web catalog group for each functional area.

The role should be named

BI_REQUEST_DEVELOPER_XXXXXX_RL where XXXXXX

should be descriptive of the group using answers. Thedescriptive part (XXXXXX) may be less than six

characters, but not more.

Each of the functional area roles must now be added to

the All Functional Area Request Developers web catalog

group using Manage Presentation Catalog Groups and

Users.

Remove privilege from Subject Area for Everyone. Grantread access to each Subject Area in Answers to the

appropriate functional area roles. Dashboard viewers do

not need access to the Subject Area.

Grant Answers privilege to the All Functional Area

Request Developers web catalog group.

Create a folder:/shared/Functional Area Requests

1. 1. Permissions on this folder:All Functional Area

Request Developers Traverse or Read?,

Dashboard Developers Read, Presentation

Server Administrators Full Control

2. Create sub-folder for each functional area named:

XXXXXX Requests

1. Permissions on this folder:


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http://download.oracle.com/docs/cd/E12104_01/books

BI_REQUEST_DEVELOPER_XXXXXX_RL

Create/Modify, Dashboard Developers Read,

Presentation Server Administrators Full Contro

In addition to this we can also come up with an idea to

create a role based connection pool to the database to

suffice this Business requirement.

Posted in OBIEE Best Practices, Securing OBIEE Answers

Adhoc Analytics| Leave a Comment

Apt Properties for Oracle BI DataasePosted by Raj Prashant Guthikonda on August 25, 2009

This is an excellent link that gives us the apt properties for the

Oracle data base for an OBIEE implementation

Posted in OBIEE Best Practices| Leave a Comment

OBIEE Datawarehouse Design

Process IterationsPosted by Raj Prashant Guthikonda on August 9, 2009

OBIEE Data-warehousing Design Process Inception Phase

Designing the Data Warehouse effort:

The Best practice iterations to design a Data warehouse can be

as follows

1. Configuring an Oracle or DB2 or MS Sql Server database

for use as a data warehouse
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2. Designing the Warehouse if the Warehouse supports

more than one LOB the Data Modeler can come up with a

Physical warehouse design based on Conformed Bus

Architecture with conformed dimensions & Conformed

facts which allow the IT to reuse the Data sets across the

Business.

3. Managing Schema objects such as Tables, Concurrent

programs, Sequences, Schema, Disks, Views, Indexes &

Materialized Views4. Managing & Maintaining the User authentication its a DBA

responsibility

5. Developing routines, Streams, ETL Process using an ETL

tool or a Push Pull concurrent program code to Leverage

operational data resemblance

6. Managing change data capture using tools like CA -7 or

Siebel DAC & more

7. Creating Metadata repository, BMM Layer Meta data

repository, User Authentication & Authorization Strategythrough OBIEE or LDAP or Data base authentication.

8. Backing up the data base & Performing recovery &

leveraging fault tolerance

9. Monitoring data-warehouses performance using OBIEE

tool caching & performance tuning strategies

Posted in OBIEE Best Practices, OBIEE Datawarehouse

Design, OBIEE SDLC| Tagged: OBIEE Design, OBIEE

Design Analysis, OBIEE Inception Phase, Oracle

Datawarehouse Design Steps| Leave a Comment

Datawarehouse Design, Best

Practices & Pragmatic approachPosted by Raj Prashant Guthikonda on July 20, 2009
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Datawarehouse Design, A Tool Independent

Pragmatic Approach

I always asked myself during my consulting career what would

be the best steps to Design a Datawarehouse & after musingfor a while I came up with this couple a years ago which I had in

my personal diary which am going to digitize today.

I always ask myself what can BAs & Power users gain from a

data warehouse ?

Firstly it can enhance business productivity as we can see

the organizations information quickly & efficiently using a

unified repository tool.

It may provide us information to win over competitors by

adjusting our prices & improving our performance.

The data warehouse improves the CRM because it

consistently provides business information across all

business group hierarchies, departments & domains to

make informed decisions possible.

Implementing a decision support system is like building a

magnificent skyscraper which requires strategies of an Architect,

Owner & Implementer / contractor.

Anonymous

To build an efficient data warehouse following 4

strategic perception should be combined together

Datawarehouse StrategyIts a process of identifying

the fact tables, Dimension tables & ETL push-pull

strategy, It represents the aggregates to be calculated


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during the ETL, database indexing strategy, database

partition, DW refresh strategy & more.

The Power User StrategyThis is a view from the eyes

of the BA, Power users & Customers on what information

should be included in the warehouse for the current &

future business requirements

Sourcing the DataThis is a strategic view of the Data

Modeler he decides on how to gather & model te silos of

data using specific data modeling techniques & tools like

OBIEE, Cognos & Microstrategy

The End User Perspectiveis to view & relate the data

to business query

So the Datawarehouse design can be attained by a top down

approach a bottom up approach or a combo,].

In the Top down approachthe technology or DW tool is

mature in the market and this approach starts with an over all

Inception analysis & planning phase where problem definition is

apt.

In the Bottom up approachstarts out with POCs &

experiments

In the Combo approachwe can use the strategic planning of

the top down approach with the rapid implementation technique

of bottom up to increase ROI.

Datawarehouse Design Process:

The first decision is to choose a Subject Areaor a

business process to model, This Subject area is a

functionally related Dimensions & Facts together

examples are Orders, Invoices, Shipments, Inventory,

LOB Performance & more.

The second decision is to choose a Fact Table

Granularity because te DW front end testing is done in


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12/12df di b PRO i A d l ? T h HTML PDF API

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OBIEE Best Practices, SDLC| Leave a Comment

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