Yili Li
Yili Li

Reputation: 151

materialized view creation is fast but refresh takes hours

I am using a materialized view, and I cant set it to fast refresh because some of the tables are from remote database which does not have materialized view log.

When I create the materialized view, it took like 20 30 seconds. however when I was trying to refresh it. It took more than 2 3 hours. and total number of records are only around 460,000.

Does anyone have any clue about how it would happen?

Thanks

Code looks like as following

create materialized view MY_MV1
refresh force on demand
start with to_date('20-02-2013 22:00:00', 'dd-mm-yyyy hh24:mi:ss') next trunc(sysdate)+1+22/24 
as
( SELECT Nvl(Cr.Sol_Chng_Num, ' ') AS Change_Request_Nbr,
       Nvl(Sr.Sr_Num, ' ') AS Service_Request_Nbr,
       Nvl(Sr.w_Org_Id, 0) AS Org_Id,
       Fcr.rowid,
       Cr.rowid,
       Bsr.rowid,
       Sr.rowid,
       SYSDATE
  FROM [email protected] Fcr
 INNER JOIN [email protected] Cr
    ON Fcr.w_Sol_Chng_Id = Cr.w_Sol_Chng_Id
 INNER JOIN [email protected] Bsr
    ON Fcr.w_Sol_Chng_Id = Bsr.w_Sol_Chng_Id
 INNER JOIN [email protected] Sr
    ON Sr.w_Srv_Rec_Id = Bsr.w_Srv_Rec_Id
 WHERE Sr.Sr_Num <> 'NS'
);

I have tried to use dbms_mview.refresh('MY_MATVIEW', 'C', atomic_refresh=>false) but it still took 141 mins to run... vs 159 mins without atomic_refresh=>false

Upvotes: 5

Views: 17592

Answers (4)

smackenzie
smackenzie

Reputation: 3022

I am guessing:

Create Table doesn't need to write into the transaction log, as it is a new table. atomic_refresh => false means there is a truncate on the delete side (bypassing logging), but you then still have the INSERT side to deal with, which likely means you get a lot of transaction logging.

Upvotes: 0

Anonymous
Anonymous

Reputation: 152

You can test it. I run this manually and it works for me friend :)

BEGIN
   DBMS_REFRESH.make(
   name                 => 'DB_NAME.MINUTE_REFRESH',
   list                 => '',
   next_date            => SYSDATE,
   interval             => '/*1:Mins*/ SYSDATE + 1/(60*24)',
   implicit_destroy     => FALSE,
   lax                  => FALSE,
   job                  => 0,
   rollback_seg         => NULL,
   push_deferred_rpc    => TRUE,
   refresh_after_errors => TRUE,
   purge_option         => NULL,
   parallelism          => NULL,
   heap_size            => NULL);
END;
/

BEGIN
   DBMS_REFRESH.add(
   name => 'DB_NAME.MINUTE_REFRESH',
   list => 'DB_NAME.MV_NAME',
   lax  => TRUE);

END; /

And then u can destroy it with this.

BEGIN
  DBMS_REFRESH.destroy(name => 'DB_NAME.MINUTE_REFRESH');
END;
/

You can create materialize view log.

CREATE MATERIALIZED VIEW LOG ON DB_NAME.TABLE_NAME
TABLESPACE users
WITH PRIMARY KEY
INCLUDING NEW VALUES;

I hope it can help you. :)

Upvotes: 1

tbone
tbone

Reputation: 15473

I would personally NOT use the scheduler built into the mat view CREATE statement (start with ... next clause).

The main reason (for me) is that you cannot declare the refresh non-ATOMIC this way (at least I haven't found the syntax for this at CREATE time). Depending on your refresh requirements and size, this can save A LOT of time.

I would use dbms_mview.refresh('MY_MATVIEW', 'C', atomic_refresh=>false). This would:

  1. Truncate MY_MATVIEW snapshot table
  2. Insert append into MY_MATVIEW table

If you use the next clause in the create statement, it will setup an atomic refresh, meaning it will:

  1. Delete * from MY_MATVIEW
  2. Insert into MY_MATVIEW
  3. Commit

This will be slower (sometimes much slower), but others can still query from MY_MATVIEW while the refresh is occurring. So, depends on your situation and needs.

Upvotes: 4

northpole
northpole

Reputation: 10346

if it only takes 20-30 seconds to create why not just drop and recreate the materialized view instead of refreshing it?

Upvotes: 0

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