Oracle Materialized view with xmltype data type

this the table having in db1 i need to create materialized view db2 for this table i have followed below steps..
create table WORKSHEETMASTER
METHODID NUMBER(10),
WORKSHEETCODE VARCHAR2(50 BYTE) not null,
WORKSHEET SYS.XMLTYPE);
create materialized view log on db1.WORKSHEETMASTER;
db2
CREATE MATERIALIZED VIEW WORKSHEETMASTER
REFRESH FAST ON DEMAND
AS
SELECT METHODID,
WORKSHEETCODE,
worksheet FROM db1.WORKSHEETMASTER@DBLINK;
when i was create materialized view above script in db2 iam getting error
ORA-22992:cannot use LOB locators selected from remote tables
like this when remove the worksheet column created succesfully may know how achieve this problem
my database version 11g iam searched some sceniour not full filled
need for help
thanks

this the table having with in DB1
create table WORKSHEETMASTER
METHODID NUMBER(10),
WORKSHEETCODE VARCHAR2(50 BYTE) not null,
WORKSHEET SYS.XMLTYPE,
WORKSHEETID NUMBER primary key,
CREATEDDATE DATE,
CREATEDBY VARCHAR2(50 BYTE),
WORKSHEETNAME VARCHAR2(50 BYTE),
UPDATEDDATE DATE,
UPDATEDBY VARCHAR2(50 BYTE),
NOOFROWS NUMBER(3),
NOOFCOLUMNS NUMBER(3),
WORKSHEETTYPE CHAR(1 BYTE),
SUBSTRATEUSED VARCHAR2(50 BYTE),
STATUS NUMBER(1),
APPROVEDBY VARCHAR2(50 BYTE),
APPROVED CHAR(1 BYTE) default 'N',
APPROVALREMARKS VARCHAR2(100 BYTE),
LNG_WORKSHEETNAME VARCHAR2(50)
iam trying to create materailzed view in db2
create materialized view WORKSHEETMASTER
refresh fast on demand
as
SELECT METHODID,
WORKSHEETCODE,
WORKSHEETID,
worksheet,
CREATEDDATE,
CREATEDBY,
WORKSHEETNAME,
UPDATEDDATE,
UPDATEDBY,
NOOFROWS,
NOOFCOLUMNS ,
WORKSHEETTYPE,
SUBSTRATEUSED,
STATUS,
APPROVEDBY,
APPROVED,
APPROVALREMARKS,
LNG_WORKSHEETNAME FROM db1.WORKSHEETMASTER@DBLINK; --remote database
iam creating above scriprt in db2 getting error this my total script

Similar Messages

Materialized view with xmltype data type

Hello to all,
I have a challenge with my 10g r2 database. I need to make a materialized view from a table in this format:
Name Null? Type
RECID NOT NULL VARCHAR2(200)
XMLRECORD XMLTYPE
,my problem is that (as i read from docs) i cant make the view refreshable on commit and also i cant refresh the mv in fast mode ( i dont need to refresh mv complete - takes too long).
Do you have a hint for this?
Thank you in advance.
Daniel

hi,
I cant upgrade to 11g.Also i cant change the table structure.
Here is a sample of xmltype field content:
RECID XMLRECORD
D00009999 <row id='D100009999'><c2>10000</c2><c3>xxxxx</c3><c5>xxxx..
And i need to extract in the mv the data from c2, c3 and so on.
Still waiting for a hint.
Thank you.

Refresh fails on materialized view with CLOB data type

Hi,
Hope somebody can help me with this issue.
Some materialized views get status broken on refreshment, but only sometime. When I try to refresh them manually I get following message: "ORA-01400: cannot insert NULL into...". But I know for sure that there are no NULL values in the master table, MV and master tables are declared in the same way and all columns in master tables are NOT NULL columns. Another ting is that this error I get only on columns with data type CLOB.
Please, help!
/Julia

hi,
I cant upgrade to 11g.Also i cant change the table structure.
Here is a sample of xmltype field content:
RECID XMLRECORD
D00009999 <row id='D100009999'><c2>10000</c2><c3>xxxxx</c3><c5>xxxx..
And i need to extract in the mv the data from c2, c3 and so on.
Still waiting for a hint.
Thank you.

JDBC insert with XMLTYPE data type

Hi,
SOAP to JDBC scenario. Oracle 11G as a receiver.
Requirement is to insert whole xml payload message in one of Oracle table fields as a xml string. Target oracle DB table column is defined with XMLTYPE data type, it has capacity to hold xml data more than 4GB. I am using graphical mapping with direct INSERT statement.
When I try to insert xml payload with smaller size transaction goes through. However when the xml payload size increases it is giving following error in JDBC receiver communication channel monitoring.
Could not execute statement for table/stored proc. "TABLE_NAME" (structure "StructName") due to java.sql.SQLException: ORA-01704: string literal too long
Here is insert statement as in communication channel monitoring. (Note: XML payload with bold characters is truncated)
INSERT INTO TABLE_NAME (REQ_ID, OUTAGE_OBJ, TIMESTAMP, PROCESSED_FLAG) VALUES (VAL1, <?xml version="1.0" encoding="UTF-8"?>............</>, TO_DATE(2010-11-15 10:21:52,YYYY-MM-DD HH24:MI:SS), N)
Any suggestions to handle this requirement?
Thank you in advance.
Anand More.

Hi Anand,
The problem here is definitely the length of the SQL query. i.e "INSERT INTO ......... VALUES......."
This is what i got when i searched for this ORACLE error code:
ORA-01704: string literal too long
Cause: The string literal is longer than 4000 characters.
Action: Use a string literal of at most 4000 characters. Longer values may only be entered using bind variables.
Please ask a ORACLE DB expert on how to handle this Also i am not sure how can we handle Bind Varibales in SAP PI.
I hope this helps.
Regards, Gaurav.

Unable to drop materialized view with corrupted data blocks

Hi,
The alert log of our database is giving this message
Wed Jan 31 05:23:13 2007
ORACLE Instance mesh (pid = 9) - Error 1578 encountered while recovering transaction (6, 15) on object 13355.
Wed Jan 31 05:23:13 2007
Errors in file /u01/app/oracle/admin/mesh/bdump/mesh_smon_4369.trc:
ORA-01578: ORACLE data block corrupted (file # 5, block # 388260)
ORA-01110: data file 5: '/u03/oradata/mesh/mview.dbf'
No one is using this mview still oracle is trying to recover this transaction (6, 15).
when i tried to drop this mview it gives me this error
ERROR at line 1:
ORA-01578: ORACLE data block corrupted (file # 5, block # 388260)
ORA-01110: data file 5: '/u03/oradata/mesh/mview.dbf'
ORA-06512: at "SYS.DBMS_SNAPSHOT", line 2255
ORA-06512: at "SYS.DBMS_SNAPSHOT", line 2461
ORA-06512: at "SYS.DBMS_SNAPSHOT", line 2430
ORA-06512: at line 1
I have tried to fix the corrupted data blocks by using dbms_repair package, but of no use.
I have marked this block to be skipped by using dbms_repair.skip_block but still unable to drop it.
Please suggest what should I do?
Thanks in advance
Anuj

You are lucky if only your undesirable MV is affected by theese corrupted blocks. This is an advice to do a complete-super-full-hot-cold-middle backup of ypur database and search for any disk for a "possible replace".
God save us!

Are Cube organized materialized view with Year to Date calculated measure eligible for Query Rewrite

Hi,
Will appreciate if someone can help me with a question regarding Cube organized MV (OLAP).
Does cube organized materialized view with calculated measures based on time series Year to date, inception to date eg.
SUM(FCT_POSITION.BASE_REALIZED_PNL) OVER (HIERARCHY DIM_CALENDAR.CALENDAR BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT DIMENSION LEVEL DIM_CALENDAR."YEAR")
are eligible for query rewrites or these are considered advanced for query rewrite purposes.
I was hoping to find an example with YTD window function on physical fact dim tables with optimizer rewriting it to Cube Org. MV but not much success.
Thanks in advance

I dont think this is possible.
(My own reasoning)
Part of the reason query rewrite works for base measures only (not calc measures in olap like ytd would be) is due to the fact that the data is staged in olap but its lineage is understandable via the olap cube mappings. That dependency/source identification is lost when we build calculated measures in olap and i think its almost impossible for optimizer to understand the finer points relating to an olap calculation defined via olap calculation (olap dml or olap expression) and also match it with the equivalent calculation using relational sql expression. The difficulty may be because both the olap ytd as well as relational ytd defined via sum() over (partition by ... order by ...) have many non-standard variations of the same calculation/definition. E.g: You can choose to use or choose not to use the option relating to IGNORE NULLs within the sql analytic function. OLAP defn may use NASKIP or NASKIP2.
I tried to search for query rewrite solutions for Inventory stock based calculations (aggregation along time=last value along time) and see if olap cube with cube aggregation option set to "Last non-na hierarchical value" works as an alternative to relational calculation. My experience has been that its not possible. You can do it relationally or you can do it via olap but your application needs to be aware of each and make the appropriate backend sql/call. In such cases, you cannot make olap (aw/cubes/dimensions) appear magically behind the scenes to fulfill the query execution while appearing to work relationally.
HTH
Shankar

Create materialized view with specific column sizes

Hi all,
I'm trying to create a materialized view with a specific a column size. Something like
create materialized view test_mv
refresh force on demand
as
select id,
       cast(my_compound_field as nvarchar2(50))
from ( select id,
              field1 || field2 my_compound_field
       from   my_table);But Oracle seems to ignore the cast and takes the maximum size it finds for field1 || field2 in the select query. The resulting table has a column nvarchar2(44) instead of nvarchar2(50).
This can give a problem when the view is refreshed... there could be new data that exceeds the current size, i.e. where length(field1 || field2) > 44.
How can I override the column size of a field in a materialized view?
Edit: Some additional info to clarify my case:
field1 and field2 are defined as nvarchar2(25). field1 || field2 can theoretically have a length of 50, but there is currently no data in my table that results in that length, the max is 44. I am afraid that there will be data in the future that exceeds 44, resulting in an error when the MV is refreshed!
Edited by: Pleiadian on Jan 25, 2011 2:06 PM

Cannot reproduce what you are saying is happening.
SQL> create table t (a nvarchar2(50), b nvarchar2(50));
Table created.
SQL> create materialized view tmv as
2 select a, b, a || b c from t;
Materialized view created.
SQL> desc tmv
Name                                      Null?    Type
A                                                  NVARCHAR2(50)
B                                                  NVARCHAR2(50)
C                                                  NVARCHAR2(100)
SQL> drop materialized view tmv;
Materialized view dropped.
SQL> create materialized view tmv as
2 select a, b, substr(a || b, 1, 10) c from t;
Materialized view created.
SQL> desc tmv
Name                                      Null?    Type
A                                                  NVARCHAR2(50)
B                                                  NVARCHAR2(50)
C                                                  NVARCHAR2(10)
SQL> select * from v$version;
BANNER
Oracle Database 11g Enterprise Edition Release 11.1.0.7.0 - 64bit Production
PL/SQL Release 11.1.0.7.0 - Production
CORE    11.1.0.7.0      Production
TNS for Linux: Version 11.1.0.7.0 - Production
NLSRTL Version 11.1.0.7.0 - Production
SQL>Edited by: 3360 on Jan 25, 2011 8:10 AM
And with data
SQL> insert into t values ('3123423423143hhshgvcdcvw', 'ydgeew gdfwe   dfefde wfjjjjjjj');
1 row created.
SQL> commit;
Commit complete.
SQL> desc tmv
Name                                      Null?    Type
A                                                  NVARCHAR2(50)
B                                                  NVARCHAR2(50)
C                                                  NVARCHAR2(10)
SQL> select * from tmv;
A
B                                                  C
3123423423143hhshgvcdcvw
ydgeew gdfwe   dfefde wfjjjjjjj                      3123423423

Materialized View with Joins

Dear Dev/DBAs,
I have the following scenario:
SQL> CREATE TABLE T1 (ID NUMBER(3),NAME VARCHAR2(10));
SQL> CREATE TABLE T2 (ID NUMBER(3),NAME VARCHAR2(10));
The T1 contains records having the ID num from 10 to 80 and the T2 having the ID from 90 to 170
SQL> SELECT * FROM T1 JOIN ALL SELECT * FROM T2
It give all records in the 2 tables.
I'm planning to create a materialized view (like CREATE MATERIALIZED VIEW V_TAB REFRESH ON COMMIT AS SELECT * FROM T1 JOIN ALL SELECT * FROM T2) and it seems i can't do with the error ORA-12054, further the oracle documentation says that materialized view can only be used with a simple join.
Do you have another solution??
Note that the materialized views can be used to improve queries.
Thank you in advance

Straight from the link I posted:
*Restrictions on Fast Refresh on Materialized Views with UNION ALL*Materialized views with the UNION ALL set operator support the REFRESH FAST option if the following conditions are satisfied:
* The defining query must have the UNION ALL operator at the top level.
The UNION ALL operator cannot be embedded inside a subquery, with one exception: The UNION ALL can be in a subquery in the FROM clause provided the defining query is of the form SELECT * FROM (view or subquery with UNION ALL) as in the following example:
CREATE VIEW view_with_unionall AS
(SELECT c.rowid crid, c.cust_id, 2 umarker
FROM customers c WHERE c.cust_last_name = 'Smith'
UNION ALL
SELECT c.rowid crid, c.cust_id, 3 umarker
FROM customers c WHERE c.cust_last_name = 'Jones');
CREATE MATERIALIZED VIEW unionall_inside_view_mv
REFRESH FAST ON DEMAND AS
SELECT * FROM view_with_unionall;
Note that the view view_with_unionall satisfies the requirements for fast refresh.
* Each query block in the UNION ALL query must satisfy the requirements of a fast refreshable materialized view with aggregates or a fast refreshable materialized view with joins.
The appropriate materialized view logs must be created on the tables as required for the corresponding type of fast refreshable materialized view.
Note that the Oracle Database also allows the special case of a single table materialized view with joins only provided the ROWID column has been included in the SELECT list and in the materialized view log. This is shown in the defining query of the view view_with_unionall.
* The SELECT list of each query must include a maintenance column, called a UNION ALL marker. The UNION ALL column must have a distinct constant numeric or string value in each UNION ALL branch. Further, the marker column must appear in the same ordinal position in the SELECT list of each query block.
* Some features such as outer joins, insert-only aggregate materialized view queries and remote tables are not supported for materialized views with UNION ALL.
* Partiton Change Tracking (PCT)-based refresh is not supported for UNION ALL materialized views.
* The compatibility initialization parameter must be set to 9.2.0 or higher to create a fast refreshable materialized view with UNION ALL.

Materialized view with tables in different schemas

Hello,
I want to create a materialized view with a table from a different schema in the SELECT statement. For materialized view I would like to apply the "REFRESH COMPLETE ON COMMIT" option.
Here the code:
CREATE MATERIALIZED VIEW S1.MV_EXAMPLE
TABLESPACE TS1
PCTFREE 0
BUILD IMMEDIATE
REFRESH COMPLETE ON COMMIT
AS
SELECT T.COLUMN1 COLUMN
FROM S2.TABLE1 T
I can't execute this SQL because I get an "insufficient privileges" error to this table:
FROM S2.TABLE1 T
FEHLER in Zeile 9:
ORA-01031: Insufficient privileges
User S1 has the following privileges:
CREATE SESSION
CREATE SNAPSHOT
CREATE TABLE
CREATE QUERY REWRITE
SELECT ANY TABLE
User S2 has the following privileges:
CREATE SESSION
CREATE SNAPSHOT
CREATE TABLE
CREATE QUERY REWRITE
ALTER ANY SNAPSHOT
Which privileges are missing?
Thanks, Mathias

Thanks Kamal for your answer!
S1 has the grant select directly. But I solveld the problem. The system privilege "ON COMMIT REFRESH" was missing for S1. This has to be set if any of the tables are outside the owner's schema of the materialized view (ORACLE documentation - Data Warehouse Guide).
But one thing is not clear to me yet and the ORACLE documentation doesn't give me an answer. I can set the refresh-attribute ON COMMIT on a materialized view containing only joins when a group by clause is set. If the group by clause is missing I can't! Why?
Regards, Mathias

Updatable Materialized View with Union ALL

(please don't ask about db structure)
DB: 11gR2
create table table_1 (
    id number primary key,
    val varchar2(100)
create table table_2 (
    id number primary key,
    val varchar2(100)
insert into table_1(id) values (0);
insert into table_1(id) values (2);
insert into table_1(id) values (3);
insert into table_1(id) values (4);
insert into table_1(id) values (5);
insert into table_2(id) values (10);
insert into table_2(id) values (12);
insert into table_2(id) values (13);
insert into table_2(id) values (14);
insert into table_2(id) values (15);
update table_1 set val='Table1 val:'||id;
update table_2 set val='Table2 val:'||id;
create view v_table_all as
select * from table_1
view V_TABLE_ALL created.
select * from v_table_all;
ID                     VAL
0                      Table1 val:0
2                      Table1 val:2
3                      Table1 val:3
4                      Table1 val:4
5                      Table1 val:5
select column_name, updatable, insertable, deletable
from user_updatable_columns
where table_name = 'V_TABLE_ALL'
COLUMN_NAME                    UPDATABLE INSERTABLE DELETABLE
ID                             YES       YES        YES
VAL                            YES       YES        YES
update v_table_all set val='XXX changed' where id = 3;
1 row updated.
select * from table_1;
ID                     VAL
0                      Table1 val:0
2                      Table1 val:2
3                      XXX changed
4                      Table1 val:4
5                      Table1 val:5
rollback;
select * from table_1;
ID                     VAL
0                      Table1 val:0
2                      Table1 val:2
3                      Table1 val:3
4                      Table1 val:4
5                      Table1 val:5
create or replace view v_table_all as
select * from table_1
union select * from table_2;
view V_TABLE_ALL created.
select * from v_table_all;
ID                     VAL
0                      Table1 val:0
2                      Table1 val:2
3                      Table1 val:3
4                      Table1 val:4
5                      Table1 val:5
10                     Table2 val:10
12                     Table2 val:12
13                     Table2 val:13
14                     Table2 val:14
15                     Table2 val:15
select column_name, updatable, insertable, deletable
from user_updatable_columns
where table_name = 'V_TABLE_ALL'
COLUMN_NAME                    UPDATABLE INSERTABLE DELETABLE
ID                             NO        NO         NO
VAL                            NO        NO         NO
trying update:
update v_table_all set val='XXX changed' where id = 3;
SQL-Fehler: ORA-01732: Datenmanipulationsoperation auf dieser View nicht zulässig
01732. 00000 - "data manipulation operation not legal on this view"
*Cause:
*Action:
drop view v_table_all;
view V_TABLE_ALL dropped.all is ok before this point.
now we want create a new materialized view with some query
create materialized view v_table_all
as
select * from table_1
union all select * from table_2 ;
materialized view V_TABLE_ALL created.
select column_name, updatable, insertable, deletable
from user_updatable_columns
where table_name = 'V_TABLE_ALL'
COLUMN_NAME                    UPDATABLE INSERTABLE DELETABLE
ID                             YES       YES        YES
VAL                            YES       YES        YES       it seems to be ok with update.
but...
update v_table_all set val='XXX changed' where id = 3;
SQL-Fehler: ORA-01732: Datenmanipulationsoperation auf dieser View nicht zulässig
01732. 00000 - "data manipulation operation not legal on this view"
*Cause:
*Action:How can solve this issue??
Any suggestion

Looks like user_updatable_columns sort of thinks the MV is just a table - I don't know about that...
An MV on a single table can be updated - I tried that and it works:
create materialized view mv_table_1 for update
as
select * from table_1;I noticed [url http://download.oracle.com/docs/cd/E11882_01/server.112/e16579/advmv.htm#sthref294]examples stating the UNION ALL needs a "marker" so Oracle can know from the data which source table a row in the MV originates from - like this:
create materialized view v_table_all for update
as
select 'T1' tab_id, table_1.* from table_1
union all
select 'T2' tab_id, table_2.* from table_2 ;But that also fails (the "marker" requirement was specifically for FAST REFRESH, so it was just a long shot ;-) )
What are you planning to do?
<li>Create the MV.
<li>Update records in the MV - which then is no longer consistent with the source data.
<li>Schedule a complete refresh once in a while - thereby overwriting/losing the updates in the MV.
If that is the case, I suggest using a true table rather than an MV.
<li>Create table t_table_all as select ... .
<li>Update records in the table - which then is no longer consistent with the source data.
<li>Schedule a job to delete table and insert into table select ... once in a while - thereby overwriting/losing the updates in the table.
In other words a kind of "do it yourself MV".
I cannot see another way at the moment? But perhaps try in the data warehousing forum - the people there may have greater experience with MV's ;-)

How to create materialized view with parameter and index ?

Hi all,
i am using oracle 11g.
i want to create parameter materialized view with two parameter (STORED_VALUE, LOV_NAME) with an index .
i have below view
CREATE OR REPLACE FORCE VIEW SR_MY_TEST(DISPLAYED_VALUE, STORED_VALUE, LOV_NAME) AS
SELECT DISPLAYED_VALUE , LOVVALUE.STORED_VALUE , lovname.lov_name
           FROM (SELECT T.LOV_VALUE_ID,
      T.LOV_ID,
      T.ORG_ENTITY_ID,
      T.STORED_VALUE,
      T.DISPLAYED_VALUE,
      T.ENTERPRISE_ID
     FROM MS_QS_LIST_OF_VALUES_T T) lovvalue, ms_qs_lov_names lovname
          WHERE lovvalue.lov_id = lovname.lov_id
            AND lovvalue.org_entity_id = 1
            and LOVVALUE.ENTERPRISE_ID = 100000
            AND LOVNAME.ENTERPRISE_ID = 100000;
i want to create index on   STORED_VALUE, LOV_NAME
Thanks
Damby

No.AFAIK, there's nothing called as "parameterized MV".
Materialized View store data like tables (and not like Views). So, does it make sense when you say - "table with parameters" ?
Could you please explain your business requirement?
What is the purpose behind those 2 parameters?

Query rewrites with Nested materialized views with different aggregations

Platform used : Oracle 11g.
Here is a simple fact table (with measures m1,m2) and dimensions (a) Location (b) Calendar and (c) Product. The business problem is that aggregation operator for measure m1,m2 are different along location dimension and Calendar dimension. The intention is to preaggregate the measures for a product along the calendar dimension and Location dimension and store it as materialized views.
The direct option is to define a materialized view with Inline queries (Because of the different aggrergation operator, it is not possible to write a query without Inline query). http://download-uk.oracle.com/docs/cd/B28359_01/server.111/b28313/qradv.htm#BABEAJBF documents the limitations that it works only for 'Text match' and 'Equivalent queries' and that is too limiting.
So decided to have nested materialized view, with first view having just joins(my_dim_mvw_joins), the second view having aggregations along Calendar dimension (my_dim_mvw_calendar) and third view having aggregations along the Location dimension(my_dim_mvw_location). Obviously I do not want the query I fire to know about materialized views and I fire it against the fact table. I see that for the fired query (Which needs aggregations along both Calendar and Location), is rewritten with just second materialized view but not the third. (Had set QUERY_REWRITE_INTEGRITY as TRUSTED) .
Wanted to know whether there are limitations on Query Writes with nested materialized views? Thanks
(Have given a simple testable example below. Pls ignore the values given in 'CALENDAR_IDs', 'PRODUCT_IDs' etc as they are the same for all the queries)
-- Calendar hierarchy table
CREATE TABLE CALENDAR_HIERARCHY_TREE
(     "CALENDAR_ID" NUMBER(5,0) NOT NULL ENABLE,
"HIERARCHY1_ID" NUMBER(5,0),
"HIERARCHY2_ID" NUMBER(5,0),
"HIERARCHY3_ID" NUMBER(5,0),
"HIERARCHY4_ID" NUMBER(5,0),
CONSTRAINT "CALENDAR_HIERARCHY_TREE_PK" PRIMARY KEY ("CALENDAR_ID")
-- Location hierarchy table
CREATE TABLE LOCATION_HIERARCHY_TREE
(     "LOCATION_ID" NUMBER(3,0) NOT NULL ENABLE,
"HIERARCHY1_ID" NUMBER(3,0),
"HIERARCHY2_ID" NUMBER(3,0),
"HIERARCHY3_ID" NUMBER(3,0),
"HIERARCHY4_ID" NUMBER(3,0),
CONSTRAINT "LOCATION_HIERARCHY_TREE_PK" PRIMARY KEY ("LOCATION_ID")
-- Product hierarchy table
CREATE TABLE PRODUCT_HIERARCHY_TREE
(     "PRODUCT_ID" NUMBER(3,0) NOT NULL ENABLE,
     "HIERARCHY1_ID" NUMBER(3,0),
     "HIERARCHY2_ID" NUMBER(3,0),
     "HIERARCHY3_ID" NUMBER(3,0),
     "HIERARCHY4_ID" NUMBER(3,0),
     "HIERARCHY5_ID" NUMBER(3,0),
     "HIERARCHY6_ID" NUMBER(3,0),
     CONSTRAINT "PRODUCT_HIERARCHY_TREE_PK" PRIMARY KEY ("PRODUCT_ID")
-- Fact table
CREATE TABLE RETAILER_SALES_TBL
(     "PRODUCT_ID" NUMBER,
"PRODUCT_KEY" VARCHAR2(50 BYTE),
"PLAN_ID" NUMBER,
"PLAN_PERIOD_ID" NUMBER,
"PERIOD_ID" NUMBER(5,0),
"M1" NUMBER,
"M2" NUMBER,
"M3" NUMBER,
"M4" NUMBER,
"M5" NUMBER,
"M6" NUMBER,
"M7" NUMBER,
"M8" NUMBER,
"LOCATION_ID" NUMBER(3,0),
"M9" NUMBER,
CONSTRAINT "RETAILER_SALES_TBL_LOCATI_FK1" FOREIGN KEY ("LOCATION_ID")
REFERENCES LOCATION_HIERARCHY_TREE ("LOCATION_ID") ENABLE,
CONSTRAINT "RETAILER_SALES_TBL_PRODUC_FK1" FOREIGN KEY ("PRODUCT_ID")
REFERENCES PRODUCT_HIERARCHY_TREE ("PRODUCT_ID") ENABLE,
CONSTRAINT "RETAILER_SALES_TBL_CALEND_FK1" FOREIGN KEY ("PERIOD_ID")
REFERENCES CALENDAR_HIERARCHY_TREE ("CALENDAR_ID") ENABLE
-- Location dimension definition to promote query rewrite
create DIMENSION LOCATION_DIM
LEVEL CHAIN IS LOCATION_HIERARCHY_TREE.HIERARCHY1_ID
LEVEL CONSUMER_SEGMENT IS LOCATION_HIERARCHY_TREE.HIERARCHY3_ID
LEVEL STORE IS LOCATION_HIERARCHY_TREE.LOCATION_ID
LEVEL TRADING_AREA IS LOCATION_HIERARCHY_TREE.HIERARCHY2_ID
HIERARCHY PROD_ROLLUP (
STORE CHILD OF
CONSUMER_SEGMENT CHILD OF
TRADING_AREA CHILD OF
CHAIN
-- Calendar dimension definition
create DIMENSION CALENDAR_DIM
LEVEL MONTH IS CALENDAR_HIERARCHY_TREE.HIERARCHY3_ID
LEVEL QUARTER IS CALENDAR_HIERARCHY_TREE.HIERARCHY2_ID
LEVEL WEEK IS CALENDAR_HIERARCHY_TREE.CALENDAR_ID
LEVEL YEAR IS CALENDAR_HIERARCHY_TREE.HIERARCHY1_ID
HIERARCHY CALENDAR_ROLLUP (
WEEK CHILD OF
MONTH CHILD OF
QUARTER CHILD OF
YEAR
-- Materialized view with just joins needed for other views
CREATE MATERIALIZED VIEW my_dim_mvw_joins build immediate refresh complete enable query rewrite as
select product_id, lht.HIERARCHY1_ID, lht.HIERARCHY2_ID, lht.HIERARCHY3_ID, lht.location_id, cht.HIERARCHY1_ID year,
cht.HIERARCHY2_ID quarter, cht.HIERARCHY3_ID month, cht.calendar_id week, m1, m3, m7, m9
from retailer_sales_tbl RS, calendar_hierarchy_tree cht, location_hierarchy_tree lht
WHERE RS.period_id = cht.CALENDAR_ID
and RS.location_id = lht.location_id
and cht.CALENDAR_ID in (10,236,237,238,239,608,609,610,611,612,613,614,615,616,617,618,619,1426,1427,1428,1429,1430,1431,1432,1433,1434,1435,1436,1437,1438,1439,1440,1441,1442,1443,1444,1445,1446,1447,1448,1449,1450,1451,1452,1453,1454,1455,1456,1457,1458,1459,1460,1461,1462,1463,1464,1465,1466,1467,1468,1469,1470,1471,1472,1473,1474,1475,1476,1477)
AND product_id IN (5, 6, 7, 8, 11, 12, 13, 14, 17, 18, 19, 20)
AND lht.location_id IN (2, 3, 11, 12, 13, 14, 15, 4, 16, 17, 18, 19, 20)
-- Materialized view which aggregate along calendar dimension
CREATE MATERIALIZED VIEW my_dim_mvw_calendar build immediate refresh complete enable query rewrite as
select product_id, HIERARCHY1_ID , HIERARCHY2_ID , HIERARCHY3_ID ,location_id, year, quarter, month, week,
sum(m1) m1_total, sum(m3) m3_total, sum(m7) m7_total, sum(m9) m9_total,
GROUPING_ID(product_id, location_id, year, quarter, month, week) dim_mvw_gid
from my_dim_mvw_joins
GROUP BY product_id, HIERARCHY1_ID , HIERARCHY2_ID , HIERARCHY3_ID , location_id,
rollup (year, quarter, month, week);
-- Materialized view which aggregate along Location dimension
CREATE MATERIALIZED VIEW my_dim_mvw_location build immediate refresh complete enable query rewrite as
select product_id, year, quarter, month, week, HIERARCHY1_ID, HIERARCHY2_ID, HIERARCHY3_ID, location_id,
sum(m1_total) m1_total_1, sum(m3_total) m3_total_1, sum(m7_total) m7_total_1, sum(m9_total) m9_total_1,
GROUPING_ID(product_id, HIERARCHY1_ID, HIERARCHY2_ID, HIERARCHY3_ID, location_id, year, quarter, month, week) dim_mvw_gid
from my_dim_mvw_calendar
GROUP BY product_id, year, quarter, month, week,
rollup (HIERARCHY1_ID, HIERARCHY2_ID, HIERARCHY3_ID, location_id)
-- SQL Query Fired (for simplicity have used SUM as aggregation operator for both, but they will be different)
select product_id, year, HIERARCHY1_ID, HIERARCHY2_ID,
sum(m1_total) m1_total_1, sum(m3_total) m3_total_1, sum(m7_total) m7_total_1, sum(m9_total) m9_total_1
from
select product_id, HIERARCHY1_ID , HIERARCHY2_ID , year,
sum(m1) m1_total, sum(m3) m3_total, sum(m7) m7_total, sum(m9) m9_total
from
select product_id, lht.HIERARCHY1_ID , lht.HIERARCHY2_ID , lht.HIERARCHY3_ID ,lht.location_id, cht.HIERARCHY1_ID year, cht.HIERARCHY2_ID quarter, cht.HIERARCHY3_ID month, cht.calendar_id week,m1,m3,m7,m9
from
retailer_sales_tbl RS, calendar_hierarchy_tree cht, location_hierarchy_tree lht
WHERE RS.period_id = cht.CALENDAR_ID
and RS.location_id = lht.location_id
and cht.CALENDAR_ID in (10,236,237,238,239,608,609,610,611,612,613,614,615,616,617,618,619,1426,1427,1428,1429,1430,1431,1432,1433,1434,1435,1436,1437,1438,1439,1440,1441,1442,1443,1444,1445,1446,1447,1448,1449,1450,1451,1452,1453,1454,1455,1456,1457,1458,1459,1460,1461,1462,1463,1464,1465,1466,1467,1468,1469,1470,1471,1472,1473,1474,1475,1476,1477)
AND product_id IN (5, 6, 7, 8, 11, 12, 13, 14, 17, 18, 19, 20)
AND lht.location_id IN (2, 3, 11, 12, 13, 14, 15, 4, 16, 17, 18, 19, 20)
GROUP BY product_id, HIERARCHY1_ID , HIERARCHY2_ID , HIERARCHY3_ID , location_id, year
) sales_time
GROUP BY product_id, year,HIERARCHY1_ID, HIERARCHY2_ID
This Query rewrites only with my_dim_mvw_calendar. (as saw in Query Plan and EXPLAIN_MVIEW). But we would like it to use my_dim_mvw_location as that has aggregations for both dimensions.

blackhole001 wrote:
Hi all,
I'm trying to make my programmer's life easier by creating a database view for them to query the data, so they don't have to worry about joining tables. This sounds like a pretty horrible idea. I say this because you will eventually end up with programmers that know nothing about your data model and how to properly interact with it.
Additionally, what you will get is a developer that takes one of your views and see's that of the 20 columns in it, it has 4 that he needs. If all those 4 columns comes from a simple 2 table join, but the view has 8 tables, you're wasting a tonne of resources by using the view (and heaven forbid they have to join that view to another view to get 4 of the 20 columns from that other view as well).
Ideally you'd write stored routines that satisfy exactly what is required (if you are the database resource and these other programmers are java, .net, etc... based) and the front end developers would call those routines customized for an exact purpose.
Creating views is not bad, but it's by no means a proper solution to having developers not learn or understand SQL and/or the data model.

Import materialized view with rowid

We are upgrading the Data Warehouse and Source Database from Oracle 9i to 10G.
For replication we use materialized views. Since in our source database we don't have any primary keys, we maintain materialized view logs based on rowids in Source/Master Database.
Similarly in the Staging schema of or data warehouse we have defined materialized views with rowid and fast refresh option.
We are using imp/exp utility for migrating both the source database and the data warehouse.
Since our replication is based on rowid, when we migrate to new environment, all the rowids of the source tables would be redifined making the materialized view tables rowid obsolete.
One way is to do compete refresh to bring both source database and Staging database baack in sync, but that would be expensive and time consuming.
Is there any way we can preserve rowid or keep the materialized views in staging in sync with source database ?
Thanks.

WITH ROWID is used with REFRESH clause. Try
SQL> CREATE MATERIALIZED VIEW xxca_project_status_mv
2 REFRESH WITH ROWID
3 AS
do I have to create a log.Only if you want a fast refresh.

Material Creation with Classification Data

Hi friends,
I am technical guy,
I need to know how to create material(MM01) with classification data,
if i want fetch data , where i will find that data ( means which tables).
Thanks in Advance,
regards,
Bhaksar

HI Bhaskar,
I will explain you a scenario, where you will be able to understand the relation.
Consider i am manufacturing a two wheeler, which has the material number but with various colours say Red and Blue.
In this case during my SD process, in the sales order, i need to mention the material number also with the colour as Red in the batch field in order to make the process more specific.
In order to cater this need, i need to activate batch managment for that material in the purchasing view and also opening the classification view in the Material master with the batch class as 001 _ Material Class.
Now my work will not get completed without maintaining a batch master for the same. Ie i have to ensure a batchmaster for the material using tcode MSC1N, with batch as colour, Material code, Plant and storage location also if split valuation is activated, we need to mention the valuation type too.
Hope i had thrown some lights over the topic enquired.
Regards,
RitiG

Materialized view to ensure data integrity over multiple tables

Hello,
I have a problem and I am not able to solve it. Partially, It is because of my poor SQL skills. I have three tables and I am using one sequence to enter data into them.
What I am tying to do is to create a materialized view ( complete or fast, whichever) with refresh on commit option to check that each table contains unique data in comparison to other.
I am posting code so you can get along:
CREATE TABLE table_1 (
ID NUMBER PRIMARY KEY
CREATE TABLE table_2 (
ID NUMBER PRIMARY KEY
CREATE TABLE table_3 (
ID NUMBER PRIMARY KEY
INSERT INTO table_1 VALUES (1);
INSERT INTO table_1 VALUES (2);
INSERT INTO table_2 VALUES (3);
INSERT INTO table_2 VALUES (4);
INSERT INTO table_3 VALUES (5);
INSERT INTO table_3 VALUES (6); I want to write create a materialized view that will give me output only in case that there are same values in two different tables. I got this far.
CREATE MATERIALIZED view mv_test
REFRESH COMPLETE ON COMMIT
AS
SELECT count(1) ROW_COUNT
FROM dual
WHERE EXISTS (
     SELECT a.id
     FROM table_1 a
     WHERE a.id IN(
         SELECT b.id
         FROM table_2 b))
OR EXISTS (
    SELECT a.id
     FROM table_1 a
     WHERE a.id IN
             (SELECT c.id
             FROM table_3 c))
OR EXISTS (
    SELECT b.id
         FROM table_2 b
    WHERE b.id IN
             (SELECT c.id
             FROM table_3 c));
    ALTER MATERIALIZED VIEW mv_test
    ADD CONSTRAINT cs_mv_test
    CHECK (row_count = 0) DEFERRABLE; This sql statement itself returns no rows if my logic is correct. And in case there were some duplicate rows in two different table, it would return 1 and constraint would throw an error.
However, I cannot create this with ON COMMIT option. When I try to compile I get:
ORA-12054: cannot set the ON COMMIT refresh attribute for the materialized view I went through documentation, tried creating mat_view logs etc.
I know that one of the mistakes is that I am referencing dual table and I am not sure if I can use EXISTS.
Unfortunately, my SQL wisdom ends here. I need help rewriting the sql, so it would work in materialized view with refresh on commit option. Please, help!!!
I know that since I am using a sequence there is little chance that same value will get into two different tables, but I would like to perform somekind of check.
Thank you in advance.

>
I know that since I am using a sequence there is little chance that same value will get into two different tables, but I would like to perform somekind of check.If you are certain that you control all the inputs to the table and you are definitely using one sequence to insert into all three tables then there is physically no possible way you will get duplicate values across tables.
Writing something to check if this is the case would almost be like writing something to verify that 1+1 really does equal 2 in 100% of cases.
if you must, however. consider something similar to the following which may be more performant:
select *
from table_1 t1
full outer join table_2 t2 on (t1.id = t2.id)
full outer join table_3 t3 on (t1.id = t2.id
                                 or
                                 t2.id = t3.id)
where t1.id+t2.id+t3.id not in (t1.id,t2.id,t3.id);

Oracle Materialized view with xmltype data type

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