Oren nakdimon oh really... i didn't know it is supported in standard edition

Oh Really? I Didn’t Know it is Supported in Standard Edition

Oren Nakdimon

www.db-oriented.com

[email protected]

+972-54-4393763

@DBoriented

This presentation is available in http://db-oriented.com/presentations © O

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http://db-oriented.com/presentations




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WHO AM I? A CHRONOLOGY BY “ORACLE YEARS”

Where: IAF

When: Oracle 6/7 [1991-1997]

What: Developer

Where: TELEknowledge

When: Oracle 8i/9i [1998-2003]

What: DBA Group Manager

Where: Olista

When: Oracle 10g/11g [2004-2011]

What: VP R&D + Israel Site Manager

Where:

When: Oracle 11g/12c [2011-]

What: Freelance Consultant

Where:

When: 2012-

What: Database

Architect / Developer / DBA

Where: Golden Screens

When: Oracle 8 [1997-1998]

What: Server Group Manager





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@DBORIENTED





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HTTP://DB-ORIENTED.COM





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DISCLAIMER

To the best of my knowledge, the features discussed in this presentation are currently (say, 12cR1) supported in Oracle Database Standard Edition

Lack of thorough official documentation

If you can do it, it doesn’t mean it’s allowed

Things change





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Oracle Advanced

Analytics

is supported

only in

Enterprise Edition





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Analytic

Functions





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SQL





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Aggregate

Functions





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select department_id,

MIN(salary)

from employees

group by department_id;

DEPARTMENT_ID EMPLOYEE_ID FIRST_NAME LAST_NAME SALARY

30 119 Karen Colmenares 2500.00

30 118 Guy Himuro 2600.00

30 117 Sigal Tobias 2800.00

30 116 Shelli Baida 2900.00

30 115 Alexander Khoo 3100.00

30 114 Den Raphaely 11000.00

60 107 Diana Lorentz 4200.00

60 106 Valli Pataballa 4800.00

60 105 David Austin 4800.00

60 104 Bruce Ernst 6000.00

60 103 Alexander Hunold 9000.00

90 101 Neena Kochhar 17000.00

90 102 Lex De Haan 17000.00

90 100 Steven King 24000.00

DEPARTMENT_ID MIN(SALARY)

30 2500.00

60 4200.00

90 17000.00





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THE FIRST FUNCTION



30 118 Guy Himuro 2600.00




30 114 Den Raphaely 11000.00




60 104 Bruce Ernst 6000.00



90 102 Lex De Haan 17000.00

90 100 Steven King 24000.00

select

department_id,

min(first_name) keep(dense_rank FIRST order by salary)

from employees


DEPARTMENT_ID MIN(FIRST_NAME)…

30 Karen

60 Diana

90 Lex





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THE LAST FUNCTION



30 118 Guy Himuro 2600.00




30 114 Den Raphaely 11000.00




60 104 Bruce Ernst 6000.00



90 102 Lex De Haan 17000.00

90 100 Steven King 24000.00

select

department_id,

min(first_name) keep(dense_rank LAST order by salary)

from employees


DEPARTMENT_ID MIN(FIRST_NAME)…

30 Den

60 Alexander

90 Steven





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WHAT IS THE MOST COMMON JOB IN EACH DEPARTMENT?


min(job_id) keep(dense_rank last order by cnt)

from (select department_id,

job_id,

count(*) cnt

from employees

group by department_id,

job_id)


DEPARTMENT_ID MIN(JOB_ID)KEEP(DENSE_RANKLAST

------------- ------------------------------

30 PU_CLERK

60 IT_PROG

90 AD_VP





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WHAT IS THE MOST COMMON JOB IN EACH DEPARTMENT?


stats_mode(job_id)

from employees


DEPARTMENT_ID MIN(JOB_ID)KEEP(DENSE_RANKLAST

------------- ------------------------------

30 PU_CLERK

60 IT_PROG

90 AD_VP





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Collections





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DISTINCT COUNT OF A VALUE ACROSS COLUMNS IN A TABLE

I have this table: select * from country_test;

c1 c2 c3 c4

————— ————— ————— ——————

india us china uk

india india china uk

india china china uk

us us us uk

I need the distinct count of countries across the c1,c2,c3,c4 columns of the table, so the output has to be c1 c2 c3 c4 cnt

————— ————— ————— ——— ————

india us china uk 4

india india china uk 3

india china china uk 3

us us us uk 2

http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:8749607800346631637





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ops$tkyte%ORA11GR2> with data(r)

2 as

3 (select 1 r from dual

4 union all

5 select r+1 from data where r < 4

6 )

7 select c1, c2, c3, c4, count(distinct c) cnt

8 from (

9 select rowid rid,

10 c1, c2, c3, c4,

11 decode(r,1,c1,2,c2,3,c3,4,c4) c

12 from data, country_test

13 )

14 group by rid, c1, c2, c3, c4

15 /

C1 C2 C3 C4 CNT

---------- ---------- ---------- ---------- ----------

india us china uk 4

us us us uk 2



http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:8749607800346631637





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with data as (select rownum r,c1,c2,c3,c4

from ctest)

select listagg(rpad(val,21),'') within

group (order by column_list) orig

,count(distinct val) countries

from

(

select * from data

unpivot (val for column_list in

(c1,c2,c3,c4))

)

group by r

order by r;

select * from country_test,

lateral(

select count(distinct c) cnt from (

select c1 c from dual union all

select c2 from dual union all

select c3 from dual union all

select c4 from dual

)

);

select country_test.*, cnt_tab.cnt

from country_test,

(

select count(1) cnt, rid

from (

select rowid rid, c1 c from country_test

union select rowid, c2 from country_test



)

group by rid

) cnt_tab

where country_test.rowid = cnt_tab.rid

select * from country_test,

lateral(

select count(distinct val) cnt from (

select c1,c2,c3,c4 from dual

) unpivot(val for col in (c1,c2,c3,c4))

);





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create type string_ntt as

table of varchar2(4000)





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select

c.*,

cardinality(set(string_ntt(c1,c2,c3,c4)))

from country_test c;

C1 C2 C3 C4 CARDINALITY(SET(STRING_NTT(C1,C2,C3,C4)))

----- ----- ----- ----- -----------------------------------------

india us china uk 4



us us us uk 2

C1 C2 C3 C4 SET(STRING_NTT(C1,C2,C3,C4))

----- ----- ----- ----- ----------------------------------------

india us china uk STRING_NTT('india', 'us', 'china', 'uk')

india india china uk STRING_NTT('india', 'china', 'uk')

india china china uk STRING_NTT('india', 'china', 'uk')

us us us uk STRING_NTT('us', 'uk')

C1 C2 C3 C4 STRING_NTT(C1,C2,C3,C4)

----- ----- ----- ----- --------------------------------------------------

india us china uk STRING_NTT('india', 'us', 'china', 'uk')

india india china uk STRING_NTT('india', 'india', 'china', 'uk')

india china china uk STRING_NTT('india', 'china', 'china', 'uk')

us us us uk STRING_NTT('us', 'us', 'us', 'uk')





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KAKURO

Digits 1-9

Sum = associated clue

No duplications

6 = 1+2+3

12 = 1+2+3+6

12 = 1+2+4+5

http://db-oriented.com/2016/06/10/kakuro-helper-using-sql-query-with-the-powermultiset-function/





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> select *

from table(powermultiset(integer_ntt(1,2,3,4,5,6,7,8,9)));

COLUMN_VALUE

-------------------------

INTEGER_NTT(1)

INTEGER_NTT(2)

INTEGER_NTT(1, 2)

INTEGER_NTT(3)

INTEGER_NTT(1, 3)

INTEGER_NTT(2, 3)

INTEGER_NTT(1, 2, 3)

INTEGER_NTT(4)

INTEGER_NTT(1, 4)

INTEGER_NTT(2, 4)


INTEGER_NTT(3, 4)



INTEGER_NTT(1, 2, 3, 4)

INTEGER_NTT(5)

...

INTEGER_NTT(1, 3, 4, 5, 6, 7, 8, 9)

INTEGER_NTT(2, 3, 4, 5, 6, 7, 8, 9)

INTEGER_NTT(1, 2, 3, 4, 5, 6, 7, 8, 9)

511 rows selected.

create type integer_ntt as table of integer





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break on x on num_of_elements skip 1

select sum(b.column_value) x,

a.num_of_elements,

listagg(b.column_value,'+') within group(order by b.column_value) expr

from (select rownum id,

column_value combination,

cardinality(column_value) num_of_elements

from table(powermultiset(integer_ntt(1,2,3,4,5,6,7,8,9)))) a,

table(a.combination) b

where a.num_of_elements > 1

group by a.id,a.num_of_elements

order by x,num_of_elements,expr;

X NUM_OF_ELEMENTS EXPR

---------- --------------- ----------

3 2 1+2

4 2 1+3

5 2 1+4

2+3

6 2 1+5

2+4

3 1+2+3

7 2 1+6

2+5

3+4

3 1+2+4

X NUM_OF_ELEMENTS EXPR

---------- --------------- --------------------

41 7 2+4+5+6+7+8+9

8 1+2+3+5+6+7+8+9

42 7 3+4+5+6+7+8+9

8 1+2+4+5+6+7+8+9

43 8 1+3+4+5+6+7+8+9

44 8 2+3+4+5+6+7+8+9

45 9 1+2+3+4+5+6+7+8+9

502 rows selected.

http://db-oriented.com/2016/06/10/kakuro-helper-using-sql-query-with-the-powermultiset-function/





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Pattern

Matching





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THE MOST BASIC SQL

Row-level visibility

Maximum one output row per input row

WHERE clause





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AGGREGATE FUNCTIONS

Group-level visibility

Strict definition of “group”

Each input row belongs to exactly one group

Maximum one output row per group

GROUP BY clause

HAVING clause





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Window-level visibility

Strict definition of “window”

Each input row has its own window

Window-level aggregates are added to input rows

OVER

PARTITION BY

ORDER BY

ANALYTIC (WINDOW) FUNCTIONS





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ANALYTIC (WINDOW) FUNCTIONS

Window-level visibility

Strict definition of “window”

Each input row has its own window

Window-level aggregates are added to input rows

OVER

PARTITION BY

ORDER BY





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PATTERN MATCHING

Enhanced analysis of row sequences

Match-based output

One row per match (similar to the “group by” concept)

or

All the match’s input rows (similar to the “window” concept)

Each input row may belong to 0, 1 or more matches





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PATTERN MATCHING

http://marogel.wordpress.com/2015/05/22/a-greedy-algorithm-using-recursive-subquery-factoring/

with fib(x,f) as (

select 1 as x, 1 as f from dual

union all

select f, x+f from fib where x+f <= &n

)

select f

from fib

match_recognize(

order by f desc

all rows per match

pattern ((A|{-B-})+)

define A as sum(A.f) <= &n

)

F

89

55

34

21

13

8

5

3

2

1

A

n = 121





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Oracle Spatial Option

is supported

only in

Enterprise Edition





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Oracle

Locator





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create table stops (

stop_id varchar2(20) constraint stops_pk primary key,

stop_code varchar2(20),

stop_name varchar2(100),

stop_location mdsys.sdo_geometry,

vehicle_type number(2)

);

insert into user_sdo_geom_metadata

(table_name,column_name,diminafo,srid)

values ('STOPS',

'STOP_LOCATION',

mdsys.sdo_dim_array(

mdsys.sdo_dim_element('LONG', -180.0, 180.0, 0.05)),

mdsys.sdo_dim_element('LAT', -90.0, 90.0, 0.05),

8307);





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CREATE TABLE STOPS_EXT (stop_id varchar2(20),

stop_code varchar2(20),

stop_name varchar2(100),

stop_lat number,

stop_lon number,

stop_url varchar2(100),

vehicle_type number)

ORGANIZATION EXTERNAL (

TYPE ORACLE_LOADER

DEFAULT DIRECTORY EXT_TABLES_DIR

ACCESS PARAMETERS (

records delimited by 0x'0d0a'

characterset UTF8

skip 1

logfile EXT_TABLES_DIR:'stops_%p_%a.log'

badfile EXT_TABLES_DIR:'stops_%p_%a.txt'

fields terminated by 0x'09' optionally enclosed by '"'

missing field values are null

reject rows with all null fields

)

LOCATION ('stops.txt')

)

REJECT LIMIT UNLIMITED;





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insert /*+ append */ into stops (

stop_id,

stop_code,

stop_name,

stop_location,

vehicle_type)

select stop_id,

stop_code,

stop_name,

mdsys.sdo_geometry(2001, -- 2 dimensional point

8307, -- lat/long coordinate system

mdsys.sdo_point_type(stop_lon,

stop_lat,

null),

null, -- n/a for point type

null), -- n/a for point type

vehicle_type

from stops_ext;

commit;





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External

Tables





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insert /*+ append */ into stops (

stop_id,

stop_code,

stop_name,

stop_location,

vehicle_type)

select stop_id,

stop_code,

stop_name,

mdsys.sdo_geometry(2001, -- 2 dimensional point

8307, -- lat/long coordinate system

mdsys.sdo_point_type(stop_lon,

stop_lat,

null),

null, -- n/a for point type

null), -- n/a for point type

vehicle_type

from stops_ext;

commit;

create index stops_location_idx

on stops (stop_location)

indextype is mdsys.spatial_index

parameters ('layer_gtype=POINT');





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(-1.910312, 52.478861)





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SELECT s.stop_code,

s.stop_name,

s.stop_location.sdo_point.x longitude,

s.stop_location.sdo_point.y latitude

FROM stops s

WHERE sdo_within_distance(

s.stop_location,

sdo_geometry(2001,8307,

sdo_point_type(-1.910312, 52.478861, NULL), NULL, NULL),

'distance=200 unit=meter') = 'TRUE';

All the stops within 200

meters





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GEOMETRY AGGREGATION

SELECT sdo_util.to_wktgeometry(

sdo_aggr_union(sdoaggrtype(s.stop_location,0.05)))

FROM stops s

WHERE sdo_within_distance(

s.stop_location,



'distance=200 unit=meter') = 'TRUE';

MULTIPOINT ((-1.91159 52.47736), (-1.90855 52.47859), (-1.9079 52.47869),

(-1.90808 52.47886), (-1.91157 52.47958))





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MULTIPOINT ((-1.91159 52.47736), (-1.90855 52.47859), (-1.9079 52.47869),

(-1.90808 52.47886), (-1.91157 52.47958))





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SELECT s.stop_code,

s.stop_name,

s.stop_location.sdo_point.x longitude,

s.stop_location.sdo_point.y latitude

FROM stops s

WHERE sdo_nn(

s.stop_location,



'sdo_num_res=3') = 'TRUE';

3 nearest stops





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SELECT round(sdo_nn_distance(1)) dist_meters,

s.stop_code,

s.stop_name

FROM stops s

WHERE sdo_nn(

s.stop_location,



'sdo_num_res=3',1) = 'TRUE'

order by dist_meters;

3 nearest stops + their

distance





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CITIES AND POLYGONS

> desc cities

Name Null? Type

----------------------------- -------- --------------------

CITY_ID NUMBER

CITY_NAME VARCHAR2(100)

POLYGON MDSYS.SDO_GEOMETRY





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WHICH CITY CONTAINS OUR POINT?

select c.city_name

from cities c

where sdo_relate(

c.polygon,



'mask=contains') = 'TRUE';





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NEIGHBOR CITIES

select c2.city_name

from cities c1,

cities c2

where c1.city_name = 'Birmingham'

and sdo_relate(c2.polygon, c1.polygon, 'mask=touch') = 'TRUE';





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“Online DDl OperatiOns

Are supported

only in

enterprise eDitiOn”

Many





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Some

Online

Operations





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ONLINE DDL OPERATIONS

Offline Operations Online Operations





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Get ORA-54 due to active transactions

Wait for active transactions to end





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Get ORA-54 due to active transactions

Wait for active transactions to end

Block new DML statements Do not block new DML statements





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THE KEYWORD ONLINE – NOT A GOOD SIGN FOR US

11g

CREATE INDEX … [ONLINE]

ALTER INDEX … REBUILD [ONLINE]

12c

ALTER TABLE … DROP CONSTRAINT … [ONLINE]

ALTER TABLE … SET UNUSED … [ONLINE]

DROP INDEX … [ONLINE]

ALTER INDEX … UNUSABLE [ONLINE]





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ONLINE OPERATIONS

12c

ALTER INDEX … INVISIBLE

ALTER INDEX … VISIBLE





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Invisible

Indexes





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INVISIBLE INDEXES

Maintained by DML

Invisible to the optimizer

Unless optimizer_use_invisible_indexes is true

Why?

To add an index without affecting existing statements

To validate that dropping an index will not have a negative impact, before actually dropping it (*)

(*) Not good enough if the index “protects” a foreign key





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ONLINE OPERATIONS

Adding a new column to a non-empty table

An optional column with no default

As of 11g, adding a mandatory column with default is a meta-data only operation: Fast

No space

No redo

No undo

Online

As of 12c, the same is true also for optional columns 11g





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“ALMOST ONLINE” OPERATIONS

> drop index t_idx;

drop index t_idx

*

ERROR at line 1:

ORA-00054: resource busy and acquire with NOWAIT specified

or timeout expired

Elapsed: 00:00:00.00





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> alter session set ddl_lock_timeout=2;

Session altered.

> drop index t_idx;

drop index t_idx

*

ERROR at line 1:

ORA-00054: resource busy and acquire with NOWAIT specified

or timeout expired

Elapsed: 00:00:02.02





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> alter session set ddl_lock_timeout=2;

Session altered.

> drop index t_idx;

Index dropped.

Elapsed: 00:00:00.95





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ALTER TABLE ADD CONSTRAINT

ALTER TABLE ADD CONSTRAINT ENABLE NOVALIDATE

ALTER TABLE ENABLE VALIDATE CONSTRAINT





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CREATING AN INDEX ON A STATIC TABLE

create table catalog_items (

catalog_item_id number not null,

name varchar2(100) not null,

...

constraint catalog_items_pk primary key (catalog_item_id)

);

create index catalog_items_idx1 on catalog_items(...);





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CREATING AN INDEX ON A STATIC TABLE REFERENCED BY AN ACTIVE TABLE

create table catalog_items (


name varchar2(100) not null,

...

constraint catalog_items_pk primary key (catalog_item_id)

);

create table orders (

order_id number not null,


...

constraint orders_pk primary key (order_id),

constraint orders_fk_catalog_items

foreign key (catalog_item_id)

references catalog_items (catalog_item_id)

);

create index orders_catalog_item_id_idx on

orders (catalog_item_id);





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CREATING AN INDEX ON A STATIC TABLE REFERENCED BY AN ACTIVE TABLE

alter session set ddl_lock_timeout=2;

alter table orders disable constraint orders_fk_catalog_items;

Note that by doing this we (temporarily) allow entering orders that reference non-existing catalog items into the database. Think carefully if you are willing to take this risk.

create index catalog_items_idx1 on catalog_items(...);

alter table orders enable novalidate

constraint orders_fk_catalog_items;

alter table orders enable validate

constraint orders_fk_catalog_items;





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Online index REBUILD

IS supported

only in

Enterprise Edition

But do I really

need to rebuild

indexes?





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INDEX REBUILD?

index on T(CREATION_TIME)

select … from T where CREATION_TIME between …





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Index

Coalesce





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INDEX REBUILD?

index on T(CREATION_TIME)

select … from T where CREATION_TIME between …





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ONLINE APPLICATION UPGRADE?





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Edition

Based

Redefinition





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Procedure P

Procedure P

My Schema

Edition1

Edition2

procedure p is

begin

-- do something

end p;

create or replace

procedure p as

begin

-- do something else

end p;





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Procedure

P

My Schema

Edition1

Edition2

Function

F

Procedure

P

View

V





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Procedure

P

My Schema

Edition1

Edition2

Function

F

Procedure

P

View

V

Edition3 Function

F

Package

PKG





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Procedure

P

My Schema

Edition1

procedure p is

...

select name

into ...

from people

...

Table

PEOPLE - id

- name





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Procedure

P

My Schema

Edition1

Edition2

Edition3 Procedure

P

procedure p is

...

select name

into ...

from people

...

Table

PEOPLE - id

- name

- first_name

- last_name procedure p is

...

select

first_name,

last_name

into ...

from people

...





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Procedure

P

My Schema

Edition1

Edition2

Edition3 Procedure

P

Editioning

View

PEOPLE

Editioning

View

PEOPLE

Table

PEOPLE$T - id

- name

- first_name

- last_name

create editioning view people

as select id, name

from people$t

create editioning view people

as select id, first_name, last_name

from people$t

select name

into ...

from people

select

first_name, last_name

into ...

from people





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I LOVE EBR BECAUSE…

It enables to apply any change in an online fashion

The upgrade is performed in the privacy of a new unexposed edition

The upgrade can be done at any time

Supported everywhere (since Oracle 11.2), including standard edition





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Some Examples

USERS$T USERS2$T

USERS

Forward C.E. Trigger

Reverse C.E. Trigger

USERS

Pre-Upgrade Edition

adding an index to a big active table

Post-Upgrade Edition

ADDING AN INDEX TO A BIG ACTIVE TABLE





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The Partitioning Option

is supported

only in

Enterprise Edition





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Partition

Views





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PARTITION VIEWS

T1

T2

T3

T4 alter table add partition create table

create or replace view

drop table alter table drop partition





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PARTITION VIEWS

> desc events_01

Name Null? Type

--------------------------- -------- ----------------------------

EVENT_ID NOT NULL NUMBER

EVENT_TIME NOT NULL DATE

EVENT_TYPE_ID NOT NULL NUMBER

DETAILS VARCHAR2(100)

create or replace view events as

select * from events_01

where event_time >= date'2016-01-01'

and event_time < date'2016-02-01'

union all




union all








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PARTITION VIEWS

select event_type_id,count(*)

from events

where event_time between date'2016-02-20' and date'2016-02-22'

group by event_Type_id;

-------------------------------------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

-------------------------------------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 7 | 21 | 19 (6)| 00:00:01 |

| 1 | HASH GROUP BY | | 7 | 21 | 19 (6)| 00:00:01 |

| 2 | VIEW | EVENTS | 2884 | 8652 | 18 (0)| 00:00:01 |

| 3 | UNION-ALL | | | | | |

|* 4 | FILTER | | | | | |

| 5 | TABLE ACCESS BY INDEX ROWID BATCHED| EVENTS_01 | 1 | 11 | 3 (0)| 00:00:01 |

|* 6 | INDEX RANGE SCAN | EVENT_01_TIME_IDX | 1 | | 2 (0)| 00:00:01 |

| 7 | TABLE ACCESS BY INDEX ROWID BATCHED | EVENTS_02 | 2882 | 31702 | 18 (0)| 00:00:01 |


|* 9 | FILTER | | | | | |

| 10 | TABLE ACCESS BY INDEX ROWID BATCHED| EVENTS_03 | 1 | 11 | 3 (0)| 00:00:01 |


-------------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

4 - filter(NULL IS NOT NULL)

6 - access("EVENT_TIME">=TO_DATE(' 2016-02-20 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND

"EVENT_TIME“ <TO_DATE(' 2016-02-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))


"EVENT_TIME"<=TO_DATE(' 2016-02-22 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))








ren N

akdim

on

PARTITION VIEWS

select count(details)

from events


and event_type_id = 1;

-------------------------------------------------------------------------------------------------------------


-------------------------------------------------------------------------------------------------------------


| 1 | SORT AGGREGATE | | 1 | 74 | | |

| 2 | VIEW | EVENTS | 12366 | 893K| 79 (2)| 00:00:01 |

| 3 | UNION-ALL | | | | | |

|* 4 | TABLE ACCESS FULL | EVENTS_01 | 6367 | 99K| 40 (0)| 00:00:01 |

|* 5 | TABLE ACCESS FULL | EVENTS_02 | 5998 | 95968 | 38 (0)| 00:00:01 |

|* 6 | FILTER | | | | | |

|* 7 | TABLE ACCESS BY INDEX ROWID BATCHED| EVENTS_03 | 1 | 16 | 3 (0)| 00:00:01 |


-------------------------------------------------------------------------------------------------------------


---------------------------------------------------

4 - filter("EVENT_TYPE_ID"=1 AND

"EVENT_TIME">=TO_DATE(' 2016-01-10 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND

"EVENT_TIME"< TO_DATE(' 2016-02-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))


"EVENT_TIME"<=TO_DATE(' 2016-02-22 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND

"EVENT_TIME">=TO_DATE(' 2016-02-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))


7 - filter("EVENT_TYPE_ID"=1)







ren N

akdim

on

PARTITION VIEWS

select count(details)

from events


and event_type_id = 6;

-------------------------------------------------------------------------------------------------------------


-------------------------------------------------------------------------------------------------------------


| 1 | SORT AGGREGATE | | 1 | 74 | | |

| 2 | VIEW | EVENTS | 2418 | 174K| 42 (0)| 00:00:01 |

| 3 | UNION-ALL | | | | | |

|* 4 | TABLE ACCESS FULL | EVENTS_01 | 2388 | 38208 | 40 (0)| 00:00:01 |

|* 5 | TABLE ACCESS BY INDEX ROWID BATCHED | EVENTS_02 | 29 | 464 | 2 (0)| 00:00:01 |

|* 6 | INDEX RANGE SCAN | EVENT_02_TYPE_IDX | 41 | | 1 (0)| 00:00:01 |

|* 7 | FILTER | | | | | |

|* 8 | TABLE ACCESS BY INDEX ROWID BATCHED| EVENTS_03 | 1 | 16 | 2 (0)| 00:00:01 |

|* 9 | INDEX RANGE SCAN | EVENT_03_TYPE_IDX | 1 | | 1 (0)| 00:00:01 |

-------------------------------------------------------------------------------------------------------------


---------------------------------------------------


"EVENT_TIME">=TO_DATE(' 2016-01-10 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND

"EVENT_TIME“ <TO_DATE(' 2016-02-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))

5 - filter("EVENT_TIME"<=TO_DATE(' 2016-02-22 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND


6 - access("EVENT_TYPE_ID"=6)


8 - filter("EVENT_TIME"<=TO_DATE(' 2016-02-22 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND


9 - access("EVENT_TYPE_ID"=6)





ren N

akdim

on

PARTITION VIEWS

It’s our responsibility to insert into the right partition

EXCHANGE PARTITION is supported

Indexing

Local indexes are supported by definition

Global indexes are not (easily) supported

Partial indexes are supported by definition




THANK YOU

Oren Nakdimon

www.db-oriented.com

[email protected]

+972-54-4393763

@DBoriented

Oren nakdimon oh really... i didn't know it is supported in standard edition

Technology

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