SQL statement for the materialized view?

Can someone please tell me what SQL statement creates a materialized view?

Syntactically, Yes. Otherwise Yes too (as long as you don't mind the Cartesian join with State B).
Why not just try and see what happens?

Concerning

Etbin

Tags: Database

Similar Questions

  • I get "failed to set the refresh attribute COMMIT for the materialized view" when I try to create a MV using a table and another MV

    Experts,

    I'm trying to create a YOUNG refreshable ON COMMIT MV (xyz) using a table (circuit) and quickly updateable on validation MV (abc), but get an error:

    SQL error: ORA-12054: cannot set the attribute ON COMMIT refresh for the materialized view

    12054 00000 - "cannot set the refresh attribute COMMIT for the materialized view.

    * Cause: The materialized view did not meet the requirements for update to

    moment of validation.

    * Action: Specify only valid options.

    1] MV abc
    = MV abc defined as below =.

    CREATE MATERIALIZED view abc_MV

    Immediate CONSTRUCTION

    REFRESH QUICKLY YOU COMMIT using constraints of trust

    WITH ROWID AS SELECT n.*,.

    n.ROWID noderowid

    node n

    where n.nodetype in (1610000069,1610007267);


    -Above works OK and MV connect you on table node is created successfully

    =====================================================

    [ 2] Circuit Board

    ======================================================

    CREATE MATERIALIZED VIEW LOG ON Cramer.Circuit WITH SEQUENCE, ROWID ( ) -all columns of table ofcircut parentheses

    INCLUDING THE NEW VALUES;

    -More top works OK and MV connect you on table circuit is created successfully

    ======================================================



    [3] trying to create MV xyz

    ======================================================

    CREATE MATERIALIZED VIEW LOG ON cramer.abc_MV WITH SEQUENCE, ROWID ( ) -all columns of abc_MV brackets

    INCLUDING THE NEW VALUES;

    -Above works OK and log on ABC MV MV gets created successfully

    -Problematic step below

    Xyz_MV CREATE MATERIALIZED VIEW

    IMMEDIATE CONSTRUCTION

    REFRESH QUICKLY YOU COMMIT using constraints of trust

    AS

    SELECT c., c.rowid circuit_rowid, n.rowid tr_rowid

    the circuit c, abc_mv n

    where circuit2startnode = n.nodeid

    and c.rpplanId = n.rpplanId;
    ==========================================================

    Clues on how to solve this problem and make quickly updatable ON Commit MV xyz

    Thanks in advance.

    Chanchal,

    If you can read my original post carefully you may have noticed that all these restrictions will not apply in my case.

    All,

    In any case I found the solution to my problem.

    There are a few additional restrictions for materialized views multilayer

    Additional Restrictions for master materialized views

    The following types of materialized views may not be masters of editable materialized views:

    • ROWIDmaterialized views
    • Complex materialized views
    • Read-only materialized views

    I've updated the underlying MV abc below and everything worked like a charm

    CREATE MATERIALIZED view abc_MV

    Immediate CONSTRUCTION

    REFRESH QUICKLY YOU COMMIT using constraints of trust

    IN SELECT

    n.*, n.rowid noderowid, nt.rowid nodetyperowid

    the node n, nodetype_m nt

    where n.node2nodetype = nt.nodetypeid

    and nt.nodetypeid in (1610000069,1610007267);

    Note: To ADD a join without which I was getting error below (although had primary key on the table of the node)

    SQL error: ORA-23415: materialized view log for "NODE" does not save the primary key

    23415 00000 - "view the log for materialized \"%s\".\"%s\"does not save the primary key.

    * Cause: A primary key materialized view is refreshed quickly, but the

    The materialized view log does not record the primary key information.

    * Action: Use CREATING MATERIALIZED VIEW LOG... Command to add a PRIMARY KEY to

    start recording of the primary key information in the materialized view

    Newspaper.

  • Elapsed time for the materialized view vs Master table query

    Hello all;

    Small confusion about time up for the vs Master materialized view table query

    SQL > select count (*), sum (quan_sold), sum (amt_sold) of the sale;
    COUNT (*) SUM (QUAN_SOLD) SUM (AMT_SOLD)
    6000000 12000000 720480000
    Elapsed time: 00:00:30.54
    SQL > create materialized view mv1
    2 activate the rewrite of the query as
    3. select count (*), sum (quan_sold), sum (amt_sold) of the sale;
    Materialized view created.
    Elapsed time: 00:00:01.45
    SQL > select count (*), sum (quan_sold), sum (amt_sold) of the sale;
    COUNT (*) SUM (QUAN_SOLD) SUM (AMT_SOLD)
    6000000 12000000 720480000
    Elapsed time: 00:00:00.01

    Please see the three cases "Elapsed Time"...

    When comparing other cases.
    1. my query takes long time (30.54), extraction of data from the sale
    2. create a materialized view takes less time (01:45) why?

    Source: http://uhesse.com/2009/07/08/brief-introduction-into-materialized-views/

    >
    Small confusion about elapsed time for the materialized view vs Master table query

    SQL > select count (*), sum (quan_sold), sum (amt_sold) from the sale.

    COUNT (*) SUM (QUAN_SOLD) SUM (AMT_SOLD)
    6000000 12000000 720480000
    Elapsed time: 00:00:30.54

    SQL > create materialized view mv1
    2 activate the rewrite of the query as
    3. select count (*), sum (quan_sold), sum (amt_sold) of the sale;
    Materialized view created.
    Elapsed time: 00:00:01.45

    SQL > select count (*), sum (quan_sold), sum (amt_sold) from the sale.

    COUNT (*) SUM (QUAN_SOLD) SUM (AMT_SOLD)
    6000000 12000000 720480000
    Elapsed time: 00:00:00.01

    Please see the three cases "Elapsed Time"...

    When comparing other cases.
    1. my query takes long time (30.54), extraction of data from the sale
    2. create a materialized view takes less time (01:45) why?
    >
    Many queries take less time the second time you run them. After the first performance, there may be many, if not all, lines in the buffer cache. Then the second round will not make any or all e/s physical but will obtain data from the buffer cache.

    Also, you haven't checked that the MV was even used for the second run.

    Drop the MV and make the query several times and means of the time. Then create the MV and do the same thing.

  • Recommendation for the materialized view

    Hello

    I am looking for Oracle Materialized View recommendation in the 9i version.
    I searched in the Oracle9i Data Warehousing Guide at http://download.oracle.com/docs/cd/B10501_01/server.920/a96520.pdf.
    Do you have any information?
    Thank you.

    Depends on what you're trying to accomplish. What would it be?

  • SQL statement for the hierarchy of the Organization

    Nice day

    I was wondering if there is a script/sql statement that would generate the hierarchy of the Organization (similar to the organization hierarchy editor) in Oracle EBS HRMS 11.5.10

    Thank you
    Elmer

    I was wondering if there is a script/sql statement that would generate the hierarchy of the Organization (similar to the organization hierarchy editor) in Oracle EBS HRMS 11.5.10

    Please see if (how to extract HR organization hierarchies in SQL? [REF 463359.1]) help.

    Thank you
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  • Dictionary for the materialized view partitions

    Hello

    I created a view of materilaized with partitions and I need to add dynamicaaly partitions using the procedure stored so that I need to check whther the partiions with the same name existing.where can I see the names of partition for a view of materilaized there is any table as 'USER_TAB_PARTITIONS '. apologizes if the same query exists in the forum

    You can see in user_tab_partitions is...

    select *
    from user_tab_partitions
    where table_name = 'YOUR_MV_NAME'
    
  • SQL statement for the click stream analysis

    I want to divide the clicks of the user session. A session is defined to include all of the clicks a certain user that occur within 60 seconds of each other:
    create table clickstream 
    (  t date
    ,  userid number(10) );
    
    
    insert into clickstream values (to_date('5-9-2009 10:00:00','dd-mm-yyyy hh24:mi:ss'), 2);
    insert into clickstream values (to_date('5-9-2009 10:00:24','dd-mm-yyyy hh24:mi:ss') , 2);
    insert into clickstream values (to_date('5-9-2009 10:01:23','dd-mm-yyyy hh24:mi:ss') , 2);
    insert into clickstream values (to_date('5-9-2009 10:02:40','dd-mm-yyyy hh24:mi:ss') , 2);
    insert into clickstream values (to_date('5-9-2009 0:58:24','dd-mm-yyyy hh24:mi:ss') , 7);
    insert into clickstream values (to_date('5-9-2009 2:30:33','dd-mm-yyyy hh24:mi:ss') , 7);
     
    commit;
    The output should be:
    Time t       Userid    Session
    
    10:00:00     2          0
    10:00:24     2          0
    10:01:23     2          0
    10:02:40     2          1
    00:58:24     7          0
    02:30:33     7          1
    This query divides the clickstream sessions:
    select to_char(t,'hh24:mi:ss') t
    ,      userid
    ,      count(*) over
           ( partition by userid order by t RANGE between (1/(24*60)) preceding and current row) count
    from clickstream
    order by userid,t
    
    T            USERID      COUNT
    -------- ---------- ----------
    10:00:00          2          1
    10:00:24          2          2
    10:01:23          2          2
    10:02:40          2          1
    00:58:24          7          1
    02:30:33          7          1
    Because when the COUNT = 1 a new session is started by a given user, but I do not know how to proceed?

    Seems to me, you can do a bit simpler:

    SQL>  select userid, t, nvl (sum (s) over (partition by userid order by t), 0) sessionid
    from (select userid,
                 t,
                 case when t - lag(t) over (partition by userid order by t) > 1 / (24 * 60) then 1 end s
          from clickstream
          order by userid, t)
    /
        USERID T                      SESSIONID
    ---------- --------------------- ----------
             2 05.09.2009 10:00:00            0
             2 05.09.2009 10:00:24            0
             2 05.09.2009 10:01:23            0
             2 05.09.2009 10:02:40            1
             2 05.09.2009 10:02:50            1
             2 05.09.2009 10:05:40            2
             7 05.09.2009 00:58:24            0
             7 05.09.2009 02:30:33            1
    
    8 rows selected.
    
  • Build SQL statements for the conversion error

    Hello

    I started a conversion after having dropped any object that has been marked blocking conversion (and refreshed + re-read the database).

    But the conversion fails with:

    DMU conversion error generating SQL.PNG

    Hello

    At the revealid of track that he was opening and closing of session trigger failed.

    I disabled the trigger, and now the conversion has kciked off as expected.

    Thank you.

    BR,

    Kim

  • Change the definition of the materialized view while maintaining access for users uninteruupted

    Hello

    We have a system report and the need to change the report definition mv access - like to do it without interruption.

    Is this possible?

    the sql behind mv was change picks up so column of another table.

    Have you heard but not used for dbms_redefinition tables

    Thank you

    It is built in the Oracle solution for this one, where you can edit the definition WITHOUT interruption. You can drop the materialized view existing with the clause "save table" and rebuilt the view materialized on 'predefined table'. I googled this example for you

    create materialized view mv1 as select dept , count(*) as cnt from scott.emp;

    We want to change the statement so that only dept more 5 will be calculated

    drop materialized view mv1 preserve table;
    

    Notice that PRESERVE TABLE clause - mv1 table is not droped - single layer mview.

    desc mv1
    

    now, we create the mview with a different query on top of the existing table

    create materialized view mv1 on prebuilt table as  select dept , count(*) as cnt from scott.emp where dept > 5;
    

    Notice that on prebuilt table the mview uses the existing object clause.

    exec dbms_mview.refresh_mview('mv1');
    

    http://StackOverflow.com/questions/18085894/redefine-MATERIALIZED-view-with-no-downtime

    http://Arup.blogspot.com/2009/01/ultra-fast-MV-alteration-using-prebuilt.html

  • Re: view opaque and the materialized view

    Hi Experts,

    I want some clarification of opaque and view view in the physical layer OBIEE materialized

    -> what is the main difference between the opaque view and materialized in the RPD perspective view, we have to do this at the level of the RPD or DB.

    -> I want the list of opaque opinion and materialized in the RPD view how I should do.

    -> How opaque views will degrade the performance and how a materialized view will improve performance at the level of the report.

    -> In scenarios that we use view opaque and the view materialized (if possible with a scenario for the best permanent basis).

    Thanks in advance.

    I want some clarification of opaque and view view in the physical layer OBIEE materialized

    -> What is the main difference between opaque view and create the materialized view in the RPD point of view, we have to do this at the level of the RPD or DB.

    Opaque views is a SQL statement that is defined in the physical layer, OBIEE will use all in the construction of a SQL query. In a way it's not different from a database view, except it is set in OBIEE only. Alternatively, you can deploy an Opaque view, which pushes its definition in the database. Read more about it here: work with physical tables, Cubes and joins - 11 g Release 1 (11.1.1)

    A materialized view (MV) is a database concept where the results of a SQL statement are physicalised like a table, and therefore as OBIEE is a MV is just another physical array

    -> If I want a list of the opaque views and materialized in the RPD view how I should do.

    To find opaque views, use the function «Repository of applications» administration tool Search physical Tables and set up a filter on the Type = Select

    Screenshot: https://www.evernote.com/shard/s16/sh/5c843e47-bff1-4d4b-b847-be98f3a2ec09/cf060a6cd9805f687fa0b5b46f3f0020

    To find materialized views, you will need to query the catalog in your database (for example select object_name, object_type from user_objects where type_objet = "MATERIALIZED VIEW" ;) and compare it to the list of tables in your SPR)

    -> How opaque views will degrade the performance and how a materialized view will improve performance at the level of the report.

    A materialized view is materialized, in other words, the results are already stored in the database. This means usually there will be more efficient because all the joins and aggregations, etc. will be settled in advance.

  • performance of the queries on the main tables of the materialized view vs

    Hello

    I'm afraid of strange behavior in db, on my paintings of master UDBMOVEMENT_ORIG (26mil.rows) and UDBIDENTDATA_ORIG (18mil.rows) is created the materialized view TMP_MS_UDB_MV (UDBMOVEMENT stands for this object) that meets certain default conditions and the join on these paintings of master condition. MV got on the lines of 12milions. I created MV for poll not so huge objects, MV got 3GB, paintings of master toghether 12 GB. But I don't understand that physical reads and becomes compatible is less on MV that on the main tables, the final execution time is shorter on the master tables. See my journal below.

    Why?

    Thanks for the replies.


    SQL > set echo on
    SQL > @flush
    SQL > alter system flush buffer_cache;

    Modified system.

    Elapsed time: 00:00:00.20
    SQL > alter system flush shared_pool;

    Modified system.

    Elapsed time: 00:00:00.65
    SQL > SELECT
    UDBMovement.zIdDevice 2, UDBMovement.sDevice, UDBMovement.zIdLocal, UDBMovement.sComputer, UDBMovement.tActionTime, UDBIdentData.sCardSubType, UDBIdentData.sCardType, UDBMovement.cEpan, UDBMovement.cText, UDBMovement.lArtRef, UDBMovement.sArtClassRef, UDBMovement.lSequenz, UDBMovement.sTransMark, UDBMovement.lBlock, UDBMovement.sTransType, UDBMovement.lGlobalID, UDBMovement.sFacility, UDBIdentData.sCardClass, UDBMovement.lSingleAmount, UDBMovement.sVAT, UDBMovement.lVATTot, UDBIdentData.tTarifTimeStart, UDBIdentData.tTarifTimeEnd, UDBIdentData.cLicensePlate, UDBIdentData.lMoneyValue, UDBIdentData.lPointValue, UDBIdentData.lTimeValue, UDBIdentData.tProdTime, UDBIdentData.tExpireDate
    UDBMOVEMENT_orig UDBMovement 3, Udbidentdata_orig UDBIdentData
    4. WHERE
    5 UDBMovement.lGlobalId = UDBIdentData.lGlobalRef (+) AND UDBMovement.sComputer = UDBIdentData.sComputer (+)
    6 AND UDBMovement.sTransType > 0 AND UDBMovement.sDevice < 1000 AND UDBMovement.sDevice > = 0 AND UDBIdentData.sCardType IN (2) AND (bitand(UDBMovement.sSaleFlag,1) = 0 AND bitand(UDBMovement.sSaleFlag,4) = 0) AND UDBMovement.sArtClassRef < 100
    7 AND UDBMovement.tActionTime > = TO_DATE (May 5, 2011 00:00:00 ',' dd/mm/yyyy hh24:mi:ss') + 0.25 AND UDBMovement.tActionTime < TO_DATE (May 5, 2011 00:00:00 ',' dd/mm/yyyy hh24:mi:ss') + 0.5
    8 ORDER BY tActionTime, lBlock, lSequenz;

    4947 selected lines.

    Elapsed time: 00:00:15.84

    Execution plan
    ----------------------------------------------------------
    Hash value of plan: 1768406139

    ------------------------------------------------------------------------------------------------------------
    | ID | Operation | Name | Lines | Bytes | TempSpc | Cost (% CPU). Time |
    ------------------------------------------------------------------------------------------------------------
    | 0 | SELECT STATEMENT | 7166 | 1238K | 20670 (1) | 00:04:09 |
    | 1. SORT ORDER BY | 7166 | 1238K | 1480K | 20670 (1) | 00:04:09 |
    | 2. NESTED LOOPS |
    | 3. NESTED LOOPS | 7166 | 1238K | 20388 (1) | 00:04:05 |
    |* 4 | TABLE ACCESS BY INDEX ROWID | UDBMOVEMENT_ORIG | 7142 | 809K | 7056 (1) | 00:01:25 |
    |* 5 | INDEX RANGE SCAN | IDX_UDBMOVARTICLE | 10709. 61 (0) | 00:00:01 |
    |* 6 | INDEX UNIQUE SCAN | UDBIDENTDATA_PRIM | 1 | | | 1 (0) | 00:00:01 |
    |* 7 | TABLE ACCESS BY INDEX ROWID | UDBIDENTDATA_ORIG | 1. 61. 2 (0) | 00:00:01 |
    ------------------------------------------------------------------------------------------------------------

    Information of predicates (identified by the operation identity card):
    ---------------------------------------------------

    4 - filter("UDBMOVEMENT".") STRANSTYPE"> 0 AND 'UDBMOVEMENT '. "" SDEVICE ' < 1000 AND
    BITAND ("SSALEFLAG", 1) = 0 AND "UDBMOVEMENT". "" SDEVICE ' > = 0 AND BITAND ("UDBMOVEMENT". "SSALEFLAG «(, 4) = 0)" "
    5 - access("UDBMOVEMENT".") TACTIONTIME' > = TO_DATE (' 2011-05-05 06:00 ',' syyyy-mm-jj)
    ('HH24:mi:SS) AND "UDBMOVEMENT". "' TACTIONTIME ', TO_DATE (' 2011-05-05 12:00 ',' syyyy-mm-jj)
    ('HH24:mi:SS) AND "UDBMOVEMENT". ("' SARTCLASSREF" < 100)
    filter ("UDBMOVEMENT". "SARTCLASSREF" < 100)
    6 - access("UDBMOVEMENT".") LGLOBALID "=" UDBIDENTDATA. " "" LGLOBALREF "AND
    'UDBMOVEMENT '. "' SCOMPUTER"="UDBIDENTDATA." ("' SCOMPUTER")
    7 - filter("UDBIDENTDATA".") SCARDTYPE "= 2)


    Statistics
    ----------------------------------------------------------
    543 recursive calls
    0 db block Gets
    84383 compatible Gets
    4485 physical reads
    0 redo size
    533990 bytes sent via SQL * Net to client
    3953 bytes received via SQL * Net from client
    331 SQL * Net back and forth to and from the client
    kinds of 86 (memory)
    0 sorts (disk)
    4947 lines processed

    SQL > @flush
    SQL > alter system flush buffer_cache;

    Modified system.

    Elapsed time: 00:00:00.12
    SQL > alter system flush shared_pool;

    Modified system.

    Elapsed time: 00:00:00.74
    SQL > SELECT UDBMovement.zIdDevice, UDBMovement.sDevice, UDBMovement.zIdLocal, UDBMovement.sComputer, UDBMovement.tActionTime, UDBMovement.sCardSubType, UDBMovement.sCardType, UDBMovement.cEpan, UDBMovement.cText, UDBMovement.lArtRef, UDBMovement.sArtClassRef, UDBMovement.lSequenz, UDBMovement.sTransMark, UDBMovement.lBlock, UDBMovement.sTransType, UDBMovement.lGlobalID, UDBMovement.sFacility, UDBMovement.sCardClass, UDBMovement.lSingleAmount, UDBMovement.sVAT, UDBMovement.lVATTot, UDBMovement.tTarifTimeStart, UDBMovement.tTarifTimeEnd, UDBMovement.cLicensePlate, UDBMovement.lMoneyValue, UDBMovement.lPointValue, UDBMovement.lTimeValue, UDBMovement.tProdTime
    2. OF UDBMOVEMENT WHERE
    3 UDBMovement.sTransType > 0 AND UDBMovement.sDevice < 1000 AND UDBMovement.sDevice > = 0 AND UDBMovement.sCardType IN (2) AND (bitand(UDBMovement.sSaleFlag,1) = 0 AND bitand(UDBMovement.sSaleFlag,4) = 0) AND UDBMovement.sArtClassRef < 100
    4. AND UDBMovement.tActionTime > = TO_DATE (May 5, 2011 00:00:00 ',' the hh24: mi: ss' dd/mm/yyyy) + 0.25
    5 AND UDBMovement.tActionTime < TO_DATE (May 5, 2011 00:00:00 ',' the hh24: mi: ss' dd/mm/yyyy) + 0.5 ORDER BY tActionTime, lBlock, lSequenz;

    4947 selected lines.

    Elapsed time: 00:00:26.46

    Execution plan
    ----------------------------------------------------------
    Hash value of plan: 3648898312

    -----------------------------------------------------------------------------------------------------------
    | ID | Operation | Name | Lines | Bytes | Cost (% CPU). Time |
    -----------------------------------------------------------------------------------------------------------
    | 0 | SELECT STATEMENT | 2720 | 443K | 2812 (1) | 00:00:34 |
    | 1. SORT ORDER BY | 2720 | 443K | 2812 (1) | 00:00:34 |
    |* 2 | MAT_VIEW ACCESS BY INDEX ROWID | TMP_MS_UDB_MV | 2720 | 443K | 2811 (1) | 00:00:34 |
    |* 3 | INDEX RANGE SCAN | EEETMP_MS_ACTTIMEDEVICE | 2732 | 89 (0) | 00:00:02 |
    -----------------------------------------------------------------------------------------------------------

    Information of predicates (identified by the operation identity card):
    ---------------------------------------------------

    2 - filter("UDBMOVEMENT".") STRANSTYPE"> 0 AND BITAND ("UDBMOVEMENT". "SSALEFLAG «(, 4) = 0 AND" "
    BITAND ("SSALEFLAG", 1) = 0 AND "UDBMOVEMENT". ("' SARTCLASSREF" < 100)
    3 - access("UDBMOVEMENT".") TACTIONTIME' > = TO_DATE (' 2011-05-05 06:00 ',' syyyy-mm-jj)
    ('HH24:mi:SS) AND "UDBMOVEMENT". "" SDEVICE ' > = 0 AND "UDBMOVEMENT". ' SCARDTYPE ' = 2 AND ".
    'UDBMOVEMENT '. "" TACTIONTIME "< TO_DATE(' 2011-05-05 12:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
    'UDBMOVEMENT '. ("' SDEVICE ' < 1000)
    filter ("UDBMOVEMENT". "SCARDTYPE"= 2 AND "UDBMOVEMENT"." SDEVICE' < 1000 AND
    'UDBMOVEMENT '. ("' SDEVICE ' > = 0)


    Statistics
    ----------------------------------------------------------
    449 recursive calls
    0 db block Gets
    6090 gets coherent
    2837 physical reads
    0 redo size
    531987 bytes sent via SQL * Net to client
    3953 bytes received via SQL * Net from client
    331 SQL * Net back and forth to and from the client
    168 sorts (memory)
    0 sorts (disk)
    4947 lines processed

    SQL > spool off

    Published by: MattSk on February 4, 2013 14:20

    >
    The second query makes a full table of materialized view scan.
    >
    What you base that statement on?

    I do not see any table full scan in terms of the second query. All I see is
    >
    * 2 MAT_VIEW ACCESS BY INDEX ROWID TMP_MS_UDB_MV 2720 443K 2811 (1) 00:00:34

  • Analyze the materialized view

    I just created a view, materialized; I have to analyze the materialized view after getting created? If so, how it will impact performance.

    user3636719 wrote:

    select * from v$version;
    
    Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bi
    PL/SQL Release 10.2.0.5.0 - Production
    "CORE     10.2.0.5.0     Production"
    TNS for HPUX: Version 10.2.0.5.0 - Production
    NLSRTL Version 10.2.0.5.0 - Production
    

    default V10 is statistics to collect once every 24 hours.
    so if you do nothing, the MV will be tomorrow at this time stats

  • diff between the view and the materialized view

    Hi all

    Whats different between the view and the materialized view?

    could someone help me pls this topic

    thnks in advance

    See nothing else that a set is a set of sql statements that join the single or multiple tables and shows the data... However views do not have the data themselves but point to the data.

    Whereas the materialized view is a concept used primarily in the Datawarehousing... these views contain the data itself. Reason being, it is more easy/quick access to the data. The main objective of Materialized view is to perform calculations and display data from multiple tables by using joins.
    check out the link for more information below.
    http://www.geekinterview.com/question_details/29332

    rajeysh
    http://oracleinstance.blogspot.com

  • Trigger on the materialized view

    Hello

    I have the scenario based (Database 11 g):

    There is a view materialized (PERSON), which contains the ID and NAME fields. This MV is update daily with a fast refresh.

    I have a second array (NAMES), with ID and NORM_NAME. This table contains the name of the person, without special characters.

    For example, for recording / * 1 BJORN * / in the PERSON table

    I would check * 1 BJORN * / in table NAMES.


    Problem is how to fill the NAME table after the filling of the materialized view.

    I used a trigger AFTER INSERT or update, as described below, but even if I update the master table (for this purpose, update the MV), I have only to trigger inserts.


    Is there a way to implement a trigger "after update" on a materialized view, or do I need another approach?


    /*


    create or replace TRIGGER TRG_TESTE_MV

    AFTER INSERT OR UPDATE ON THE PERSON

    REFERENCING OLD AS OLD AGAIN AS NEW

    FOR EACH LINE

    BEGIN

    IF THE INSERTION

    INSERT THE NAMES

    VALUES

    (: NEW.id,:NEW.NAME);

    END IF;

    IF THE UPDATE CAN

    UPDATE OF NAMES

    SET NAME =: NEW.NAME WHERE ID =: NEW.id;

    END IF;

    END;

    */

    Thanks for any help

    Your trigger fires, but I doubted that you will be satisfied with the results. You really need to understand how to refresh process works before you begin creating triggers of MV:

    SQL > create table emp1 in select * from EMP
    2.

    Table created.

    SQL > create materialized view emp1 with rowid journal
    2.

    Materialized view log that is created.

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    Materialized view created.

    SQL > create or replace
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    Start 8
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    1 line of creation.

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    Validation complete.

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    SQL > validation
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    Validation complete.

    SQL > set serveroutput on
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    PL/SQL procedure successfully completed.

    SQL > delete emp1
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    2 deleted rows.

    SQL > validation
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    Validation complete.

    SQL > set serveroutput on
    SQL > exec dbms_mview.refresh ('emp1_mv', 'f');

    PL/SQL procedure successfully completed.

    SQL >

    As you can see, refresh MV updates ever. Results update underlying table to remove/insert in MV. That's why your trigger will not give the results that you expected.

    SY.

  • Difference between the view and the materialized view

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