Back2 basics - A Day In The Life Of An Oracle Analytics Query

Back2Basics

A day in the life of an Oracle BI query

www.dimensionality.ch @Nephentur #obihackers | freenode

• Owner of Dimensionality GmbH in Switzerland

• Hacking OBI since 2001 (nQuire + Peregrin aquisitions by Siebel)

• Oracle ACE Associate BI/DWH

• Speaker at OpenWorld, KScope, regional Oracle User Groups...

• Part-time blogger on Oracle BI (http://dimensionality.ch)

• Full-time IRC (freenode | #obihackers) and OTN addict

• Oracle BI trainer for Oracle University since 2006

• Proud geek and gamer

• Responding to any and all questions 24 / 7 – especially on IRC

Who am I?


Who am I?


Outline

• Why this presentation

• Overview / What the packaging says

• VA / DV / DVD / BICS / ASCS

• The actual day in the life of a query

• Query execution details

• Summary


Outline






• Summary


Why this presentation?

• Oracle BI has matured and is quite wide-spread

• As a result it’s often done worse than ever…

• Problem being: core of a whole range of products

• Hence: Back to basics presentation series

• Not understanding and comprehending query mechanisms is a

cardinal sin for any developer

• And no, “cloud” doesn’t eliminate the need for “comprehension”



• Alternative title “A normal day on the OTN forums”



• Going more into details from my “Worst practices” presentation



• Alleviate your struggle

• How can I get from front-end problems to the actual root cause?

• Why is my report returning the data it does?

• Why do I get old data back? (Spoiler alert: Cache!)

• Where can I find all bits and pieces of information for my investigation?

• Why doesn’t my request hit the source I thought it would?

• Why does it bypass our aggregate tables?

• If I change the RPD – what will be the impact?



Simply put:

Without a solid understanding of how and why

queries function inside the Oracle BI core you will have

a very hard time of analyzing any issue pertaining to

data, aggregations, modelling, performance etc. !


Outline






• Summary


What the packaging says






And “under the covers”?


Needs

more

detail…

A little archeology


Wait, wait…


…did you just say “Siebel Analytics”; so what about versions?

Wait, wait…



Wait, wait…



Outline






• Summary


VA / DV / DVD / BICS / ASCS?


But Christian it’s all about cloud, data visualization and mashups now!

Surely I don’t need to bother with all this query stuff?

VA / DV / DVD / BICS?






But Christian it’s all about data visualization and mashups now! Surely I

don’t need to bother with all this?

So what about VA / DV / DVD / BICS?


Yes DV/ASCS/BICS are way(s) forward, but…

Really? Think about it:

• They all still access Subject Areas (indirectly)

• Performance problems won’t just automagically disappear

– You’ll probably run into even more thanks to mashups and file uploads

• Just because there are nice graphs doesn’t mean there isn’t still a very clever system in the background!

• But yes, there’s a new toy and new possibilities

• Watch out for the next dissection talk!

So what about VA / DV / DVD / BICS?


Yes VA, DV and DVD are the way forward, but…

Really? Think about it:

• They all still access Subject Areas (indirectly)

• Performance problems won’t just automagically disappear

– You’ll probably run into even more thanks to mashups and file uploads

• Just because there are nice graphs doesn’t mean there isn’t still a very clever system in the background!

• But yes, there’s a new toy and new possibilities

• Watch out for the next dissection talk!

Outline






• Summary


The workday


?

This is where

very few

magic should

happen

This is where

THE magic

happens

We don’t

really care

about this part

This is where

the actual

workload

should happen

“The workday” aka detailed query flow


Browser,

SmartView,

other toolsBI Server

WLS

Managed

Server

Presentation

Server

Sources

Browser,

SmartView,


WLS

Managed

Server

Presentation

Server

To this detail architectureMapping these flow details in the

BI Server

“Magic” details


Your friend the log

www.dimensionality.ch @Nephentur

12c: obis1-query.log

11g: nqquery.log

#obihackers | freenode

Your friend the log



11g: nqquery.log

-------------------- SQL Request, logical request hash:a180d345SET VARIABLE

OBIS_REFRESH_CACHE=1,QUERY_SRC_CD='Report',SAW_SRC_PATH='/users/web

logic/Preso/Main',PREFERRED_CURRENCY='USD',DISABLE_CACHE=1,LOG_LEVEL=

2;

SELECT

0 s_0,

"D - Sample Federated"."Time"."T05 Per Name Year" s_1,

"D - Sample Federated"."Measures"."1a- Revenue (Orcl Db Tables Only)" s_2

FROM "D - Sample Federated"

ORDER BY 2 ASC NULLS LAST

FETCH FIRST 5000001 ROWS ONLY


Your friend the log



11g: nqquery.log

-------------------- SQL Request, logical request hash:a180d345SET VARIABLE

OBIS_REFRESH_CACHE=1,QUERY_SRC_CD='Report',SAW_SRC_PATH='/users/web

logic/Preso/Main',PREFERRED_CURRENCY='USD',DISABLE_CACHE=1,LOG_LEVEL=

2;

SELECT

0 s_0,


"D - Sample Federated"."Measures"."1a- Revenue (Orcl Db Tables Only)" s_2




[2016-05-27T13:40:38.29+00:00] [OBIS] [TRACE:3] [] [] [ecid: aa89eaf6-8094-

45b1-8c59-ea46b2a1e14e-00008dd6,0:1:17:5] [sik: ssi] [tid: 996f4700]

[messageid: USER-18] [requestid: e295001d] [sessionid: e2950000] [username:

weblogic] -------------------- Sending query to database named 01 - Sample App

Data (ORCL) (id: <<387385>>), connection pool named Sample Relational

Connection, logical request hash a180d345, physical request hash f5274c5e: [[

WITH

SAWITH0 AS (select sum(T418.Revenue) as c1,

T653.Per_Name_Year as c2

From

BISAMPLE.SAMP_TIME_MTH_D T653 /* D02 Time Month Grain */ ,

BISAMPLE.SAMP_REVENUE_F T418 /* F10 Billed Rev */ where (

T418.Bill_Mth_Key = T653.Mth_Key ) group by T653.Per_Name_Year)select

D1.c1 as c1, D1.c2 as c2, D1.c3 as c3 from ( select 0 as c1, D1.c2 as c2, D1.c1

as c3from SAWITH0 D1order by c2 ) D1 where rownum <= 5000001


Outline






• Summary


Intelligent Request Generation


• Receives the queries from the front-end

• Answers, SmartView, Visual Analyzer,

Data Visualization (Desktop)

• Other tools using the Oracle BI Server

ODBC API or Web Servives

Logical Request Generation


• Creates the actual logical request to be

processed

• Doesn’t “write the query”

• Doesn’t decide which business models,

LTSs or sources to use

• Preparation stage for Cache Services and

Navigator

Logical Request Generation


-------------------- SQL Request, logical request hash:

ee9cf87d

SET VARIABLE

OBIS_REFRESH_CACHE=1,QUERY_SRC_CD='Report',SAW_SRC_PATH='/users/weblogic/Preso/Main',PREFER

RED_CURRENCY='USD',DISABLE_CACHE=1,LOG_LEVEL=5;

SELECT

0 s_0,


"D - Sample Federated"."Measures"."1a- Revenue (Orcl Db Tables Only)" s_2,

"D - Sample Federated"."Measures"."1b- Revenue (Essbase Cube Only)" s_3




Cache Services


• Optional step: Caching enabled?

• Checks if request can be fulfilled by existing

cache entries

• Cache doesn’t need to match 1:1

– Existing entries can be aggregated

– Subsets can be extracted

• Cache can be forcibly circumvented

Cache Services




cache entries




• Cache can be forcibly circumvented

Cache Services




cache entries




• Cache can be forcibly circumvented-------------------- SQL Request, logical request hash:

ee9cf87d

SET VARIABLE

OBIS_REFRESH_CACHE=1,QUERY_SRC_CD='Report',SAW_SRC_PATH='/users/weblogic/Preso/Main',PREFER

RED_CURRENCY='USD',DISABLE_CACHE=1,LOG_LEVEL=5;

[…]



Cache Services


• All SELECT columns

– Existing in cache entries or

– Derived from cache entries (bins, substring or

other analysis-based formulas/functions)

• WHERE clause must match or be a subset

of cache entries– Query for 10 US states will hit a cache entry containing all

the US states

• Join conditions must match or be a subset

Cache Services


Cache Services


[2016-05-28T15:18:40.151+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-

dd95618de970-000006a9,0:1:23:5] [sik: ssi] [tid: df80700] [messageid: USER-18] [requestid: f7340009]

[sessionid: f7340000] [username: weblogic] -------------------- Sending query to database named 01 -

Sample App Data (ORCL) (id: <<112556>>), connection pool named Sample Relational Connection,

logical request hash e019650e, physical request hash 61dd43b2: [[

WITH

SAWITH0 AS (select distinct T795.PER_NAME_YEAR as c1

from

BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ )

select D1.c1 as c1, D1.c2 as c2 from ( select 0 as c1,

D1.c1 as c2

from

SAWITH0 D1

order by c2 ) D1 where rownum <= 5000001

Cache Services


[2016-05-28T15:18:40.151+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-

dd95618de970-000006a9,0:1:23:5] [sik: ssi] [tid: df80700] [messageid: USER-18] [requestid: f7340009]

[sessionid: f7340000] [username: weblogic] -------------------- Sending query to database named 01 -

Sample App Data (ORCL) (id: <<112556>>), connection pool named Sample Relational Connection,

logical request hash e019650e, physical request hash 61dd43b2: [[

WITH

SAWITH0 AS (select distinct T795.PER_NAME_YEAR as c1

from

BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ )

select D1.c1 as c1, D1.c2 as c2 from ( select 0 as c1,

D1.c1 as c2

from

SAWITH0 D1

order by c2 ) D1 where rownum <= 5000001

[2016-05-28T15:18:40.182+00:00] [OBIS] [TRACE:3] [] [] [ecid:

005D_Wap^cJFw000jzwkno0001Qq000EG0,0] [sik: ssi] [tid: 6fe3700] [messageid: USER-27] [requestid:

f7340009] [sessionid: f7340000] [username: weblogic] -------------------- Total Cache elapsed time 0.028

(seconds)

[2016-05-28T15:18:40.183+00:00] [OBIS] [TRACE:3] [] [] [ecid:


f7340009] [sessionid: f7340000] [username: weblogic] -------------------- Query Result Cache: [59124] The

query for user 'weblogic' was inserted into the query result cache. The filename is

'/app/oracle/biee/user_projects/domains/bi/servers/obis1/cache/NQS__736145_55120_0.TBL'.

[2016-05-28T15:18:40.183+00:00] [OBIS] [TRACE:3] [] [] [ecid:


f7340009] [sessionid: f7340000] [username: weblogic] -------------------- The logical query seeds the plan

cache [[

plan

RqList <<307721>> [for database 0:0,9]

T1.1 as c1 [for database 0:0,9],

T1.2 as c2 [for database 0:0,9]

Child Nodes (RqJoinSpec): <<307730>> [for database 0:0,1]

RqJoinNode <<307729>> []

CacheTable T1

Cache Services


Cache Services


[2016-05-28T15:31:22.112+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-dd95618de970-00000820,0:1:24:5] [sik: ssi] [tid: de7b700]

[messageid: USER-21] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Cache Hit on query: [[

Matching Query: SET VARIABLE

OBIS_REFRESH_CACHE=1,QUERY_SRC_CD='Report',SAW_DASHBOARD='/users/weblogic/_portal',SAW_DASHBOARD_PG='page

1',SAW_SRC_PATH='/users/weblogic/Preso/Cache Hit',PREFERRED_CURRENCY='USD';SELECT

0 s_0,

"A - Sample Sales"."Time"."T05 Per Name Year" s_1

FROM "A - Sample Sales"



Created by: weblogic

]]


[messageid: USER-55] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Order By Safely Removed [[

'OrderBy: D1.c2 asc NULLS LAST [ added for join ] ' above the cache hit plan is safely dropped due to the preserved order by ' OrderBy: c2 asc NULLS LAST'

from cache entry

Cache Services



[messageid: USER-50] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- The logical query seed the plan cache [[

plan

RqList <<120136>> [for database 0:0,0] /* FETCH FIRST 5000001 ROWS ONLY */

0 as c1 [for database 0:0,1],

D1.c2 as c2 [for database 0:0,0]



(


T1.2 as c2 [for database 0:0,9],

T1.2 as c3 [for database 0:0,9]



CacheTable T1

) as D1

DetailFilter: not D1.c3 < '2012' [for database 0:0,0]

Cache Services


[2016-05-28T15:31:22.139+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-dd95618de970-00000820,0:1:28] [sik: ssi] [tid: de7b700] [messageid:

USER-34] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Query Status: Successful Completion


USER-29] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Physical Query Summary Stats: Number of physical queries 1,

Cumulative time 0.000, DB-connect time 0.000 (seconds)


USER-24] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Rows returned to Client 2


USER-33] [requestid: f7340014] [sessionid: f7340000] [username: weblogic] -------------------- Logical Query Summary Stats: Elapsed time 0.030, Total time in BI

Server 0.029, Execution time 0.008, Response time 0.029, Compilation time 0.007 (seconds), logical request hash 48047dfa

Navigator


• The true brain of the operation

• Parses BI Server metadata

• Decides on actual logical tables, logical

table sources etc.

• Uses 3 components to decide on details

– Multi-pass / sub-request

– Fragmentation

– Aggregates

Multi-pass / sub-request


[2016-05-27T14:28:54.799+00:00] [OBIS] [TRACE:3] [] [] [ecid: aa89eaf6-8094-45b1-8c59-ea46b2a1e14e-000092ae,0:1:9:3] [sik: ssi] [tid: 996f4700] [messageid: USER-23] [requestid:

af740029] [sessionid: af740000] [username: weblogic] -------------------- General Query Info: [[

Repository: ssi, Subject Area: 06 - Federated Sources, Presentation: D - Sample Federated

]]

[2016-05-27T14:28:54.800+00:00] [OBIS] [TRACE:3] [] [] [ecid: aa89eaf6-8094-45b1-8c59-ea46b2a1e14e-000092ae,0:1:9:3] [sik: ssi] [tid: 996f4700] [messageid: USER-2] [requestid:

af740029] [sessionid: af740000] [username: weblogic] -------------------- Logical Request (before navigation): [[

RqList [1]

0 as c1 GB,

D0 Time.T05 Per Name Year as c2 GB,

1a- Revenue (Orcl Db Tables Only):[DAggr(F0 Revenue Base Measures.1a- Revenue (Orcl Db Tables Only) by [ D0 Time.T05 Per Name Year] )] as c3 GB,

1b- Revenue (Essbase Cube Only):[DAggr(F0 Revenue Base Measures.1b- Revenue (Essbase Cube Only) by [ D0 Time.T05 Per Name Year] )] as c4 GB

OrderBy: c2 asc NULLS LAST



RqBreakFilter <<390156>>[2] [for database 0:0,0] /* FETCH FIRST 5000001 ROWS ONLY */


0 as c1 GB [for database 0:0,1],

D901.c5 as c2 GB [for database 0:0,0],

D901.c1 as c3 GB [for database 3023:28:01 - Sample App Data (ORCL),78],

D901.c2 as c4 GB [for database 0:0,0]



(




coalesce( D1.c2 , D2.c2) as c5 GB [for database 0:0,0]



(

RqList <<390186>> [for database 3023:28:01 - Sample App Data (ORCL),78]

sum(F10 Billed Rev.Revenue by [ D02 Time Month Grain.Per_Name_Year] ) as c1 GB [for database 3023:28:01 - Sample App Data (ORCL),78],

D02 Time Month Grain.Per_Name_Year as c2 GB [for database 3023:28:01 - Sample App Data (ORCL),78]

Child Nodes (RqJoinSpec): <<390195>> [for database 3023:28:01 - Sample App Data (ORCL),78]

RqJoinNode <<390196>> [(InNode:<<390196>>) (OutNode:<<390199>>) ]

SAMP_TIME_MTH_D AS D02 Time Month Grain


SAMP_REVENUE_F AS F10 Billed Rev

DetailFilter: F10 Billed Rev.Bill_Mth_Key = D02 Time Month Grain.Mth_Key [for database 3023:28:01 - Sample App Data (ORCL),78]

GroupBy: [ D02 Time Month Grain.Per_Name_Year] [for database 3023:28:01 - Sample App Data (ORCL),78]

OrderBy: c2 asc [for database 3023:28:01 - Sample App Data (ORCL),78]

) as D1 FullOuterStitchJoin <<390183>> On D1.c2 = D2.c2; actual join vectors: [ 1 ] = [ 1 ]

(

RqList <<390215>> [for database 0:0,0] distinct

D1.c1 as c1 [for database 0:0,0],




(

RqList <<390225>> [for database 3023:10:03 - Essbase Sample E1 Flat,84]

sum(Sample Flattened.Gross Revenue by [ Sample Flattened.Years] ) as c1 GB [for database 3023:10:03 - Essbase Sample E1 Flat,84],

Sample Flattened.Years as c2 GB [for database 3023:10:03 - Essbase Sample E1 Flat,84]

Child Nodes (RqJoinSpec): <<390234>> [for database 3023:10:03 - Essbase Sample E1 Flat,84]


Sample T12016

GroupBy: [ Sample Flattened.Years] [for database 3023:10:03 - Essbase Sample E1 Flat,84]

) as D1

OrderBy: c2 asc [for database 0:0,0]

) as D2

OrderBy: c5 asc NULLS LAST [for database 0:0,0]

) as D901





0 as c1 GB [for database 0:0,1],



D901.c2 as c4 GB [for database 0:0,0]



(




coalesce( D1.c2 , D2.c2) as c5 GB [for database 0:0,0]



(













(






(






Sample T12016


) as D1

OrderBy: c2 asc [for database 0:0,0]

) as D2

OrderBy: c5 asc NULLS LAST [for database 0:0,0]

) as D901


(

(













(




Child Nodes (RqJoinSpec): <<390221>> [for database:0,0]


(






Sample T12016


) as D1

) as D2

) as D901















[2016-05-28T15:54:26.741+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-dd95618de970-00000be7,0:1:1:5] [sik: ssi] [tid: de7b700] [messageid: USER-18] [requestid: f7340057] [sessionid: f7340000] [username: weblogic] -------------------- Sending query to database named 01 - Sample App Data (ORCL) (id: <<128861>>), connection pool named Sample Relational Connection, logical request hash c0e3e3eb, physical request hash f6e07fd4: [[ select sum(T432.Revenue_Usd) as c1,

T795.PER_NAME_YEAR as c2

from

BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,

BISAMPLE.SAMP_REVENUE_CURR_F T432 /* F19 Rev. (Converted) */

where ( T432.Bill_Qtr_Key = T795.QTR_KEY )

group by T795.PER_NAME_YEAR

order by c2

]]

[2016-05-28T15:54:26.742+00:00] [OBIS] [TRACE:3] [] [] [ecid: 86cb6a39-9f56-4305-a0e6-dd95618de970-

00000be7,0:1:1:5] [sik: ssi] [tid: de7b700] [messageid: USER-18] [requestid: f7340057] [sessionid: f7340000] [username:

weblogic] -------------------- Sending query to database named 01 - Sample App Data (ORCL) (id: <<128903>>), connection

pool named Sample Relational Connection, logical request hash c0e3e3eb, physical request hash 343379a9: [[

select sum(T216.Revenue) as c1,

T795.PER_NAME_YEAR as c2

from

BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,

BISAMPLE.SAMP_REVENUE_FA2 T216 /* F21 Rev. (Aggregate 2) */

where ( T216.Bill_Qtr_Key = T795.QTR_KEY )

group by T795.PER_NAME_YEAR

order by c2

Fragmentation


• Are fragmented logical table sources

being used?

Fragmentation



being used?

[...]


((

RqList <<406138>> [for database 3023:16:Y01 - Custom Demo Datasets,78]

WEATHER_HAIL.STATE as c2 [for database 3023:16:Y01 - Custom Demo Datasets,78],

'Hail' as c3 [for database 3023:16:Y01 - Custom Demo Datasets,78],

WEATHER_HAIL.ID as c4 [for database 3023:16:Y01 - Custom Demo Datasets,78]

Child Nodes (RqJoinSpec): <<406146>> [for database 3023:16:Y01 - Custom Demo Datasets,78]


WEATHER_HAIL T403

RqUnion All <<406137>> [for database 3023:16:Y01 - Custom Demo Datasets,78]


WEATHER_TORNADOES.STATE as c2 [for database 3023:16:Y01 - Custom Demo Datasets,78],

'Tornado' as c3 [for database 3023:16:Y01 - Custom Demo Datasets,78],

WEATHER_TORNADOES.ID as c4 [for database 3023:16:Y01 - Custom Demo Datasets,78]



WEATHER_TORNADOES T525

RqUnion All <<406137>> [for database 3023:16:Y01 - Custom Demo Datasets,78]


WEATHER_WIND.STATE as c2 [for database 3023:16:Y01 - Custom Demo Datasets,78],

'Wind' as c3 [for database 3023:16:Y01 - Custom Demo Datasets,78],

WEATHER_WIND.ID as c4 [for database 3023:16:Y01 - Custom Demo Datasets,78]



WEATHER_WIND T375)

) as D6

[...]

Fragmentation


Fragmentation



being used?

Aggregate Navigator


• Which LTS contains data on a level of

aggregation to fulfill the query with the

least amount of effort?

• Hierarchy logical level # of elements

• LTS priority group

• LTS order

Aggregate Navigator


Aggregate Navigator


WITH SAWITH0 AS (select sum(T216.Revenue) as c1,T795.PER_NAME_YEAR as c2from BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,BISAMPLE.SAMP_TIME_QTR_D T795 /* D03 Time Quarter Grain */ ,BISAMPLE.SAMP_REVENUE_FA2 T216 /* F21 Rev. (Aggregate 2) */ where ( T216.Bill_Qtr_Key = T795.QTR_KEY ) group by T795.PER_NAME_YEAR)select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3 from ( select 0 as c1,D1.c2 as c2,D1.c1 as c3from SAWITH0 D1order by c2 ) D1 where rownum <= 5000001

Aggregate Navigator


Aggregate Navigator


WITH SAWITH0 AS (select sum(T418.Revenue) as c1,T42.Calendar_Date as c2,T42.Per_Name_Year as c3from BISAMPLE.SAMP_TIME_DAY_D T42 /* D01 Time Day Grain */ ,BISAMPLE.SAMP_TIME_DAY_D T42 /* D01 Time Day Grain */ ,BISAMPLE.SAMP_TIME_DAY_D T42 /* D01 Time Day Grain */ ,BISAMPLE.SAMP_TIME_DAY_D T42 /* D01 Time Day Grain */ ,BISAMPLE.SAMP_REVENUE_F T418 /* F10 Billed Rev */ where ( T42.Calendar_Date = T418.Bill_Day_Dt and T42.Per_Name_Year = '2012' ) group by T42.Calendar_Date, T42.Per_Name_Year)select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3, D1.c4 as c4 from ( select 0 as c1,D1.c2 as c2,D1.c3 as c3,D1.c1 as c4from SAWITH0 D1order by c3, c2 ) D1 where rownum <= 5000001

Optimized Query Rewrites


• Writes the effective query sent against a

source

• Source type

• Source features

• Native function shipping driven by these

configurations (and version)







• Results are retrieved from sources

• Combined and post-calculated as needed

• Written into the cache

• Passed to the initially calling interface

Outline






• Summary


Summary


1. Know the flow

This is where

very few

magic should

happen

This is where

THE magic

happens

We don’t

really care

about this part

This is where

the actual

workload

should happen

Browser,

SmartView,


WLS

Managed

Server

Presentation

Server

Sources

Browser,

SmartView,


WLS

Managed

Server

Presentation

Server

Summary

2. Understand the magic

Summary

3. You’ll be fine!


Back2 basics - A Day In The Life Of An Oracle Analytics Query

Data & Analytics