SQL+-MULTI TABLE QUERY PROBLEM

HAI ALL,
ANY SUGGESTION PLEASE?
SUB: SQL+-MULTI TABLE QUERY PROBLEM
SQL+ QUERY GIVEN:
SELECT PATIENT_NUM, PATIENT_NAME, HMTLY_TEST_NAME, HMTLY_RBC_VALUE,
HMTLY_RBC_NORMAL_VALUE, DLC_TEST_NAME, DLC_POLYMORPHS_VALUE,
DLC_POLYMORPHS_NORMAL_VALUE FROM PATIENTS_MASTER1, HAEMATOLOGY1,
DIFFERENTIAL_LEUCOCYTE_COUNT1
WHERE PATIENT_NUM = HMTLY_PATIENT_NUM AND PATIENT_NUM = DLC_PATIENT_NUM AND PATIENT_NUM
= &PATIENT_NUM;
RESULT GOT:
&PATIENT_NUM =1
no rows selected
&PATIENT_NUM=2
no rows selected
&PATIENT_NUM=3
PATIENT_NUM 3
PATIENT_NAME KKKK
HMTLY_TEST_NAME HAEMATOLOGY
HMTLY_RBC_VALUE 4
HMTLY_RBC_NORMAL 4.6-6.0
DLC_TEST_NAME DIFFERENTIAL LEUCOCYTE COUNT
DLC_POLYMORPHS_VALUE     60
DLC_POLYMORPHS_NORMAL_VALUE     40-65
ACTUAL WILL BE:
&PATIENT_NUM=1
PATIENT_NUM 1
PATIENT_NAME BBBB
HMTLY_TEST_NAME HAEMATOLOGY
HMTLY_RBC_VALUE 5
HMTLY_RBC_NORMAL 4.6-6.0
&PATIENT_NUM=2
PATIENT_NUM 2
PATIENT_NAME GGGG
DLC_TEST_NAME DIFFERENTIAL LEUCOCYTE COUNT
DLC_POLYMORPHS_VALUE     42
DLC_POLYMORPHS_NORMAL_VALUE     40-65
&PATIENT_NUM=3
PATIENT_NUM 3
PATIENT_NAME KKKK
HMTLY_TEST_NAME HAEMATOLOGY
HMTLY_RBC_VALUE 4
HMTLY_RBC_NORMAL 4.6-6.0
DLC_TEST_NAME DIFFERENTIAL LEUCOCYTE COUNT
DLC_POLYMORPHS_VALUE     60
DLC_POLYMORPHS_NORMAL_VALUE     40-65
4 TABLES FOR CLINICAL LAB FOR INPUT DATA AND GET REPORT ONLY FOR TESTS MADE FOR PARTICULAR
PATIENT.
TABLE1:PATIENTS_MASTER1
COLUMNS:PATIENT_NUM, PATIENT_NAME,
VALUES:
PATIENT_NUM
1
2
3
4
PATIENT_NAME
BBBB
GGGG
KKKK
PPPP
TABLE2:TESTS_MASTER1
COLUMNS:TEST_NUM, TEST_NAME
VALUES:
TEST_NUM
1
2
TEST_NAME
HAEMATOLOGY
DIFFERENTIAL LEUCOCYTE COUNT
TABLE3:HAEMATOLOGY1
COLUMNS:
HMTLY_NUM,HMTLY_PATIENT_NUM,HMTLY_TEST_NAME,HMTLY_RBC_VALUE,HMTLY_RBC_NORMAL_VALUE
VALUES:
HMTLY_NUM
1
2
HMTLY_PATIENT_NUM
1
3
MTLY_TEST_NAME
HAEMATOLOGY
HAEMATOLOGY
HMTLY_RBC_VALUE
5
4
HMTLY_RBC_NORMAL_VALUE
4.6-6.0
4.6-6.0
TABLE4:DIFFERENTIAL_LEUCOCYTE_COUNT1
COLUMNS:DLC_NUM,DLC_PATIENT_NUM,DLC_TEST_NAME,DLC_POLYMORPHS_VALUE,DLC_POLYMORPHS_
NORMAL_VALUE,
VALUES:
DLC_NUM
1
2
DLC_PATIENT_NUM
2
3
DLC_TEST_NAME
DIFFERENTIAL LEUCOCYTE COUNT
DIFFERENTIAL LEUCOCYTE COUNT
DLC_POLYMORPHS_VALUE
42
60
DLC_POLYMORPHS_NORMAL_VALUE
40-65
40-65
THANKS
RCS
E-MAIL:[email protected]
--------

I think you want an OUTER JOIN
SELECT PATIENT_NUM, PATIENT_NAME, HMTLY_TEST_NAME, HMTLY_RBC_VALUE,
HMTLY_RBC_NORMAL_VALUE, DLC_TEST_NAME, DLC_POLYMORPHS_VALUE,
DLC_POLYMORPHS_NORMAL_VALUE
FROM PATIENTS_MASTER1, HAEMATOLOGY1, DIFFERENTIAL_LEUCOCYTE_COUNT1
WHERE PATIENT_NUM = HMTLY_PATIENT_NUM (+)
AND PATIENT_NUM = DLC_PATIENT_NUM (+)
AND PATIENT_NUM = &PATIENT_NUM;Edited by: shoblock on Nov 5, 2008 12:17 PM
outer join marks became stupid emoticons or something. attempting to fix

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Edited by: trant on Jun 27, 2011 9:29 PM

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510     events in waitclass Other     30670     9161     329759     10.75     196     3297590639     1736664284     1893977003     0     Other
512     events in waitclass Other     32428     10920     329728     10.17     196     3297276553     1736664284     1893977003     0     Other
243     events in waitclass Other     21513     5     329594     15.32     196     3295935977     1736664284     1893977003     0     Other
223     events in waitclass Other     21570     52     329590     15.28     196     3295898897     1736664284     1893977003     0     Other
241     row cache lock     1273669     0     42137     0.03     267     421374408     1714089451     3875070507     4     Concurrency
241     events in waitclass Other     614793     0     34266     0.06     12     342660764     1736664284     1893977003     0     Other
241     db file sequential read     13323     0     3948     0.3     13     39475015     2652584166     1740759767     8     User I/O
241     SQL*Net message from client     7     0     1608     229.65     1566     16075283     1421975091     2723168908     6     Idle
241     log file switch completion     83     0     459     5.54     73     4594763     3834950329     3290255840     2     Configuration
241     gc current grant 2-way     5023     0     159     0.03     0     1591377     2685450749     3871361733     11     Cluster
241     os thread startup     4     0     55     13.82     26     552895     86156091     3875070507     4     Concurrency
241     enq: HW - contention     574     0     38     0.07     0     378395     1645217925     3290255840     2     Configuration
512     PX Deq: Execution Msg     3     0     28     9.45     28     283374     98582416     2723168908     6     Idle
243     PX Deq: Execution Msg     3     0     27     9.1     27     272983     98582416     2723168908     6     Idle
223     PX Deq: Execution Msg     3     0     25     8.26     24     247673     98582416     2723168908     6     Idle
510     PX Deq: Execution Msg     3     0     24     7.86     23     235777     98582416     2723168908     6     Idle
243     PX Deq Credit: need buffer     1     0     17     17.2     17     171964     2267953574     2723168908     6     Idle
223     PX Deq Credit: need buffer     1     0     16     15.92     16     159230     2267953574     2723168908     6     Idle
512     PX Deq Credit: need buffer     1     0     16     15.84     16     158420     2267953574     2723168908     6     Idle
510     direct path read     360     0     15     0.04     4     153411     3926164927     1740759767     8     User I/O
243     direct path read     352     0     13     0.04     6     134188     3926164927     1740759767     8     User I/O
223     direct path read     359     0     13     0.04     5     129859     3926164927     1740759767     8     User I/O
241     PX Deq: Execute Reply     6     0     13     2.12     10     127246     2599037852     2723168908     6     Idle
510     PX Deq Credit: need buffer     1     0     12     12.28     12     122777     2267953574     2723168908     6     Idle
512     direct path read     351     0     12     0.03     5     121579     3926164927     1740759767     8     User I/O
241     PX Deq: Parse Reply     7     0     9     1.28     6     89348     4255662421     2723168908     6     Idle
241     SQL*Net break/reset to client     2     0     6     2.91     6     58253     1963888671     4217450380     1     Application
241     log file sync     1     0     5     5.14     5     51417     1328744198     3386400367     5     Commit
510     cursor: pin S wait on X     3     2     2     0.83     1     24922     1729366244     3875070507     4     Concurrency
512     cursor: pin S wait on X     2     2     2     1.07     1     21407     1729366244     3875070507     4     Concurrency
243     cursor: pin S wait on X     2     2     2     1.06     1     21251     1729366244     3875070507     4     Concurrency
241     library cache lock     29     0     1     0.05     0     13228     916468430     3875070507     4     Concurrency
241     PX Deq: Join ACK     4     0     0     0.07     0     2789     4205438796     2723168908     6     Idle
241     SQL*Net more data from client     6     0     0     0.04     0     2474     3530226808     2000153315     7     Network
241     gc current block 2-way     5     0     0     0.04     0     2090     111015833     3871361733     11     Cluster
241     enq: KO - fast object checkpoint     4     0     0     0.04     0     1735     4205197519     4217450380     1     Application
241     gc current grant busy     4     0     0     0.03     0     1337     2277737081     3871361733     11     Cluster
241     gc cr block 2-way     1     0     0     0.06     0     586     737661873     3871361733     11     Cluster
223     db file sequential read     1     0     0     0.05     0     461     2652584166     1740759767     8     User I/O
223     gc current block 2-way     1     0     0     0.05     0     452     111015833     3871361733     11     Cluster
241     latch: row cache objects     2     0     0     0.02     0     434     1117386924     3875070507     4     Concurrency
241     enq: TM - contention     1     0     0     0.04     0     379     668627480     4217450380     1     Application
512     PX Deq: Msg Fragment     4     0     0     0.01     0     269     77145095     2723168908     6     Idle
241     latch: library cache     3     0     0     0.01     0     243     589947255     3875070507     4     Concurrency
510     PX Deq: Msg Fragment     3     0     0     0.01     0     215     77145095     2723168908     6     Idle
223     PX Deq: Msg Fragment     4     0     0     0     0     145     77145095     2723168908     6     Idle
241     buffer busy waits     1     0     0     0.01     0     142     2161531084     3875070507     4     Concurrency
243     PX Deq: Msg Fragment     2     0     0     0     0     84     77145095     2723168908     6     Idle
241     latch: cache buffers chains     4     0     0     0     0     73     2779959231     3875070507     4     Concurrency
241     SQL*Net message to client     7     0     0     0     0     51     2067390145     2000153315     7     Network
(yikes, is there a way to wrap that in equivalent of other forums' tag?)
v$session_wait;
223     835     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     10     WAITING
241     22819     row cache lock     cache id     13     000000000000000D     mode     0     00     request     5     0000000000000005     3875070507     4     Concurrency     -1     0     WAITED SHORT TIME
243     747     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     7     WAITING
510     10729     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     2     WAITING
512     12718     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     4     WAITING
v$sess_io:
223     0     5779     5741     0     0
241     38773810     2544298     15107     27274891     0
243     0     5702     5688     0     0
510     0     5729     5724     0     0
512     0     5682     5678     0     0

OJ syntax for multi-table left outer join with MS Oracle Driver

I have a multi-table left outer join that works fine in SQL Server ODBC Driver, Oracle ODBC driver 8.01.07.00, but not with Microsoft ODBC Driver for Oracle 2.573.7326.0
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1 LEFT OUTER JOIN C ON A.col1 = C.col1 }
I noticed someone had a similar problem (the proposed solution doesn't work):
http://www.justpbinfo.com/listarchive/msg02874.html
Does anyone know how to get this working with the Microsoft ODBC Driver for Oracle? Or does it just not work?

The Microsoft ODBC Driver for Oracle 2.573.7326.0 does perform the same 'fix up' with {oj} in Oracle 8i. The problem is that it doesn't work when joining more than two tables:
This works:
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1}
This doesn't work:
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1 LEFT OUTER JOIN C ON B.col1 = C.col1 }
(The second query will work with the Oracle Oracle ODBC driver, with a bit of tweaking. But I haven't found a way to get it to work with the Microsoft ODBC Driver for Oracle 2.573.7326.0. My suspicion is that it just doesn't work.)
Gavin

ODI - IKM Oracle Multi Table Insert

Hi All,
I am new to ODI, i tried to use "IKM Oracle Multi Table Insert", one interface generates query like
insert all
when 1=1 then
into BI.EMP_TOTAL_SAL
*(EMPNO, ENAME, JOB, MGR, HIREDATE, TOTAL_SAL, DEPTNO)*
values
*(C1_EMPNO, C2_ENAME, C3_JOB, C4_MGR, C5_HIREDATE, C6_TOTAL_SAL, C7_DEPTNO)*
select
C1_EMPNO EMPNO,
C2_ENAME ENAME,
C3_JOB JOB,
C4_MGR MGR,
C5_HIREDATE HIREDATE,
C6_TOTAL_SAL TOTAL_SAL,
C7_DEPTNO DEPTNO
from BI.C$_0EMP_TOTAL_SAL
where (1=1)
because of alias this insert fails. Could you please anyone explain what exactly happens and how to control the query genration?
Thanks & Regards
M Thiyagu

What David is asking is for you to go to operator and review the failed task, copy the SQL and paste it up here, run the SQL in your sql client (Toad / SQL Developer) and try and ascertain what objects your missing causing your SQL Error.
Have you followed the link posted above? Have you placed the interfaces in a package in the right order? Are you running the package as a whole or individual interfaces? I dont think the individual interfaces will work with this IKM as its designed for one to feed the other.
Please detail the steps you've taken, how many interfaces you have and what options you have chosen in the IKM options for each interface - Its tricky to diagnose your problem and when you say "I can't understand what to do and how to do...
So please give the step wise solution to do that interface.. or please give with an example.." it means a lot of people will ignore your post as we cant see any evidence of you trying!
p.s I see you have resurected a thread from 2009 - 1) I dont think the multi-table insert KM was available with ODI at that time (10G) 2) The thread is answered / closed so not many people will look at it 3) Proceedurs should only really be used when you cant do it with an interface, you lose all the lovely lineage between objects with you get with an interface.
Hope this helps - please post your setup , your error and how you have configured the interfaces and package so far.

Can PQO been used in DML statements to speed up multi-dimension query ?

We have
limit dim1 to var1 ne na
where dim1 is a dimension.
var1 is a variable dimensioned by dim1.
This is pretty much like SQL table scan to find the records. Is there a PQO (parallel query option)-like option in DML to speed up multi-dimension query ?

This is one of the beauties of the OLAP Option, all the query optimisation is managed by the engine itself. It resolves the best way to get you the result set. If you have partitioned your cube the query engine will perform the same way as the relational query engine and employ partition elimination.
Where things can slow down is where you used compression, since to answer a question such as "is this cell NA?" all rows in the cube need to be uncompressed before the query can be answered and result set generated. Compression technology works best (i.e. is least intrusive in terms of affecting query performance) where you have a very fast CPU. However, the overall benefits of compression (smaller cubes) nearly always outweigh the impact of having to uncompress data to answer a specific question. Usually the impact is minimal if you partition your cube, since the un-compress function only needs to work on a specific partition.
In summary, the answer to your question is "No", because the OLAP engine automatically optimises the allocation of resources to return the result-set as fast as possible.
Is there a specific problem you are experiencing with this query?
Keith Laker
Oracle EMEA Consulting
OLAP Blog: http://oracleOLAP.blogspot.com/
OLAP Wiki: http://wiki.oracle.com/page/Oracle+OLAP+Option
DM Blog: http://oracledmt.blogspot.com/
OWB Blog : http://blogs.oracle.com/warehousebuilder/
OWB Wiki : http://wiki.oracle.com/page/Oracle+Warehouse+Builder
DW on OTN : http://www.oracle.com/technology/products/bi/db/11g/index.html

Multi table inheritance and performance

I really like the idea of multi-table inheritance, since a have a main
class and three subclasses which just add one integer to the main class.
It would be a waste to spend 4 tables on this, so I decided to put them
all into one.
My problem now is, that when I query for a specific class, kodo will build
SQL like:
select ... from table where
JDOCLASSX='de.mycompany.myprojectname.mysubpack.classname'
this is pretty slow, when the table grows because string comparisons are
awefull - and even worse: the database has to compare nearly the whole
string because it differs only in the last letters.
indexing would help a bit but wouldn't outperforming integer comparisons.
Is it possible to get kodo to do one more step of normalization ?
Having an extra table containing all classnames und id's for them (and
references in the original table) would improve performance of
multi-tables quite a lot !
Even with standard classes it would save a lot memory not having the full
classname in each row.

Stefan-
Thanks for the feedback. Note that 3.0 does make this simpler: we have
extensions that allow you to define the mechanism for subclass
identification purely in the metadata file(s). See:
http://solarmetric.com/Software/Documentation/3.0.0RC1/docs/manual.html#ref_guide_mapping_classind
The idea for having a separate table mapping numbers to class names is
good, but we prefer to have as few Kodo-managed tables as possible. It
is just as easy to do this in the metadata file.
In article <[email protected]>, Stefan wrote:
First of all: thx for the fast help, this one (IntegerProvider) helped and
solves my problem.
kodo is really amazing with all it's places where customization can be
done !
Anyway as a wish for future releases: exactly this technique - using
integer as class-identifiers rather than the full class names is what I
meant with "normalization".
The only thing missing, is a table containing information of how classIDs
are mapped to classnames (which is now contained as an explicit statement
in the jdo-File). This table is not mapped to the primary key of the main
table (as you suggested), but to the classID-Integer wich acts as a
foreign key.
A query for a specific class would be solved with a query like:
select * from classValues, classMapping where
classValues.JDOCLASSX=classmapping.IDX and
classmapping.CLASSNAMEX='de.company.whatever'
This table should be managed by kodo of course !
Imagine a table with 300.000 rows containing only 3 different derived
classes.
You would have an extra table with 4 rows (base class + 3 derived types).
Searching for the classID is done in that 4row table, while searching the
actual class instances than would be done over an indexed integer-classID
field.
This is much faster than having the database doing 300.000 String
comparisons (even when indexed).
(By the way - it would save a lot memory as well, even on classes which
are not derived)
If this technique is done by kodo transparently, maybe turned on with an
extra option ... that would be great, since you wouldn't need to take care
for different "subclass-indicator-values", can go on as everytime and have
a far better performance ...
Stephen Kim wrote:
You could push off fields to seperate tables (as long as the pk column
is the same), however, I doubt that would add much performance benefit
in this case, since we'd simply add a join (e.g. select data.name,
info.jdoclassx, info.jdoidx where data.jdoidx = info.jdoidx where
info.jdoclassx = 'foo'). One could turn off default fetch group for
fields stored in data, but now you're adding a second select to load one
"row" of data.
However, we DO provide an integer subclass provider which can speed
these sorts of queries a lot if you need to constrain your queries by
class, esp. with indexing, at the expense of simple legibility:
http://solarmetric.com/Software/Documentation/2.5.3/docs/ref_guide_meta_class.html#meta-class-subclass-provider
Stefan wrote:
I really like the idea of multi-table inheritance, since a have a main
class and three subclasses which just add one integer to the main class.
It would be a waste to spend 4 tables on this, so I decided to put them
all into one.
My problem now is, that when I query for a specific class, kodo will build
SQL like:
select ... from table where
JDOCLASSX='de.mycompany.myprojectname.mysubpack.classname'
this is pretty slow, when the table grows because string comparisons are
awefull - and even worse: the database has to compare nearly the whole
string because it differs only in the last letters.
indexing would help a bit but wouldn't outperforming integer comparisons.
Is it possible to get kodo to do one more step of normalization ?
Having an extra table containing all classnames und id's for them (and
references in the original table) would improve performance of
multi-tables quite a lot !
Even with standard classes it would save a lot memory not having the full
classname in each row.
Steve Kim
[email protected]
SolarMetric Inc.
http://www.solarmetric.com
Marc Prud'hommeaux [email protected]
SolarMetric Inc. http://www.solarmetric.com

Multi-table INSERT with PARALLEL hint on 2 node RAC

Multi-table INSERT statement with parallelism set to 5, works fine and spawns multiple parallel
servers to execute. Its just that it sticks on to only one instance of a 2 node RAC. The code I
used is what is given below.
create table t1 ( x int );
create table t2 ( x int );
insert /*+ APPEND parallel(t1,5) parallel (t2,5) */
when (dummy='X') then into t1(x) values (y)
when (dummy='Y') then into t2(x) values (y)
select dummy, 1 y from dual;
I can see multiple sessions using the below query, but on only one instance only. This happens not
only for the above statement but also for a statement where real time table(as in table with more
than 20 million records) are used.
select p.server_name,ps.sid,ps.qcsid,ps.inst_id,ps.qcinst_id,degree,req_degree,
sql.sql_text
from Gv$px_process p, Gv$sql sql, Gv$session s , gv$px_session ps
WHERE p.sid = s.sid
and p.serial# = s.serial#
and p.sid = ps.sid
and p.serial# = ps.serial#
and s.sql_address = sql.address
and s.sql_hash_value = sql.hash_value
and qcsid=945
Won't parallel servers be spawned across instances for multi-table insert with parallelism on RAC?
Thanks,
Mahesh

Please take a look at these 2 articles below
http://christianbilien.wordpress.com/2007/09/12/strategies-for-rac-inter-instance-parallelized-queries-part-12/
http://christianbilien.wordpress.com/2007/09/14/strategies-for-parallelized-queries-across-rac-instances-part-22/
thanks
http://swervedba.wordpress.com

SSRS - SQL Server Spatial Query

Hi, I was hoping someone could help me.
I'm creating an SSRS report with Map and importing points via SQL Server Spatial query. I have a db table with 8,000 points bu the import only ever brings in the first 2,000 queried (no matter what the filter is). Is there a limitation in SSRS that can be
changed via a configuration setting?
Many thanks in advance for any help on this,
Steve.

Really appreciate you coming back so quick Olaf.
No its a straightforward query (select AccountNum, Name, Address, Longitude, Lattitude, UrbanArea, County, MI_STYLE, MI_PRINX, SP_GEOMETRY from <table>)
Just to give the whole picture. I had 8,000 points in MapInfo version 10. I imported them to SQL Server 2012 via MapInfo Easy Loader.
The SQL Server spatial points import to SSRS and the Bing overlay map works great (so they import to correct space) but its only a subset of the points that import. I can pick any subset using the WHERE clause but I cannot get all 8,000 points.
I was hoping there was a configuration setting somewhere in SSRS that was causing the problem.

Materialized views on prebuilt tables - query rewrite

Hi Everyone,
I am currently counting on implementing the query rewrite functionality via materialized views to leverage existing aggregated tables.
Goal*: to use aggregate-awareness for our queries
How*: by creating views on existing aggregates loaded via ETL (+CREATE MATERIALIZED VIEW xxx on ON PREBUILT TABLE ENABLE QUERY REWRITE+)
Advantage*: leverage oracle functionalities + render logical model simpler (no aggregates)
Disadvantage*: existing ETL's need to be written as SQL in view creation statement --> aggregation rule exists twice (once on db, once in ETL)
Issue*: Certain ETL's are quite complex via lookups, functions, ... --> might create overy complex SQLs in view creation statements
My question: is there a way around the issue described? (I'm assuming the SQL in the view creation is necessary for oracle to know when an aggregate can be used)
Best practices & shared experiences are welcome as well of course
Kind regards,
Peter

streefpo wrote:
I'm still in the process of testing, but the drops should not be necessary.
Remember: The materialized view is nothing but a definition - the table itself continues to exist as before.
So as long as the definition doesn't change (added column, changed calculation, ...), the materialized view doesn't need to be re-created. (as the data is not maintained by Oracle)Thanks for reminding me but if you find a documented approach I will be waiting because this was the basis of my argument from the beginning.
SQL> select * from v$version ;
BANNER
Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - Production
PL/SQL Release 11.2.0.1.0 - Production
CORE     11.2.0.1.0     Production
TNS for Linux: Version 11.2.0.1.0 - Production
NLSRTL Version 11.2.0.1.0 - Production
SQL> desc employees
Name                                                                                            Null?    Type
EMPLOYEE_ID                                                                                     NOT NULL NUMBER(6)
FIRST_NAME                                                                                               VARCHAR2(20)
LAST_NAME                                                                                       NOT NULL VARCHAR2(25)
EMAIL                                                                                           NOT NULL VARCHAR2(25)
PHONE_NUMBER                                                                                             VARCHAR2(20)
HIRE_DATE                                                                                       NOT NULL DATE
JOB_ID                                                                                          NOT NULL VARCHAR2(10)
SALARY                                                                                                   NUMBER(8,2)
COMMISSION_PCT                                                                                           NUMBER(2,2)
MANAGER_ID                                                                                               NUMBER(6)
DEPARTMENT_ID                                                                                            NUMBER(4)
SQL> select count(*) from employees ;
COUNT(*)
       107
SQL> create table mv_table nologging as select department_id, sum(salary) as totalsal from employees group by department_id ;
Table created.
SQL> desc mv_table
Name                                                                                            Null?    Type
DEPARTMENT_ID                                                                                            NUMBER(4)
TOTALSAL                                                                                                 NUMBER
SQL> select count(*) from mv_table ;
COUNT(*)
        12
SQL> create materialized view mv_table on prebuilt table with reduced precision enable query rewrite as select department_id, sum(salary) as totalsal from employees group by department_id ;
Materialized view created.
SQL> select count(*) from mv_table ;
COUNT(*)
        12
SQL> select object_name, object_type from user_objects where object_name = 'MV_TABLE' ;
OBJECT_NAME                                                                                                                      OBJECT_TYPE
MV_TABLE                                                                                                                         TABLE
MV_TABLE                                                                                                                         MATERIALIZED VIEW
SQL> insert into mv_table values (999, 100) ;
insert into mv_table values (999, 100)
ERROR at line 1:
ORA-01732: data manipulation operation not legal on this view
SQL> update mv_table set totalsal = totalsal * 1.1 where department_id = 10 ;
update mv_table set totalsal = totalsal * 1.1 where department_id = 10
ERROR at line 1:
ORA-01732: data manipulation operation not legal on this view
SQL> delete from mv_table where totalsal <= 10000 ;
delete from mv_table where totalsal <= 10000
ERROR at line 1:
ORA-01732: data manipulation operation not legal on this view While investigating for this thread I actually made my own question redundant as the answer became gradually clear:
When using complex ETL's, I just need to make sure the complexity is located in the ETL loading the detailed table, not the aggregate
I'll try to clarify through an example:
- A detailed Table DET_SALES exists with Sales per Day, Store & Product
- An aggregated table AGG_SALES_MM exists with Sales, SalesStore per Month, Store & Product
- An ETL exists to load AGG_SALES_MM where Sales = SUM(Sales) & SalesStore = (SUM(Sales) Across Store)
--> i.e. the SalesStore measure will be derived out of a lookup
- A (Prebuilt) Materialized View will exist with the same column definitions as the ETL
--> to allow query-rewrite to know when to access the table
My concern was how to include the SalesStore in the materialized view definition (--> complex SQL!)
--> I should actually include SalesStore in the DET_SALES table, thus:
- including the 'Across Store' function in the detailed ETL
- rendering my Aggregation ETL into a simple GROUP BY
- rendering my materialized view definition into a simple GROUP BY as wellNot sure how close your example is to your actual problem. Also don't know if you are doing an incremental/complete data load and the data volume.
But the "SalesStore = (SUM(Sales) Across Store)" can be derived from the aggregated MV using analytical function. One can just create a normal view on top of MV for querying. It is hard to believe that aggregating in detail table during ETL load is the best approach but what do I know?

Error [hyt00] [microsoft][odbc sql server driver] query timeout expired

I have the below network setup:-
1. Its a simple network at my father's office at a small town called Ichalkaranji (District - Kolhapur, Maharashtra).
2. We are using private network range 192.168.1.xxx with two Windows Server 2003 Enterprise Edition with SP2 licensed copies and 15 local Windows 7 clients who are only using Server A.
3. The network is having a TP-Link Braodband Router Connected to internet with the IP 192.168.1.1.
4. Both there Windows Server 2003 Enterprise Edition with SP2 are running separate SQL Server 2005 Express with Advanced Services, you can treat them as Server A (Problematic Server with IP of 192.168.1.2)
and Server B (this is not having any issue with IP of 192.168.1.3).
5. Server A is also being used by 6 Remote users from our Kolkata office using DDNS facility through the NO IP client software which installed separately on both the servers. Kolkata remote users
do not use OR access the Server B.
6. Server B is being used by only 2 Remote users from our Erode office (Under Salem District, Tamilnadu) using DDNS facility through the NO IP client software which installed separately on both
the servers. Erode remote users do not use OR access the Server A.
7. The front end application which running separately on both the servers have been developed in VB by a local vendor at Ichalkaranji (District - Kolhapur, Maharashtra).
8. Both Servers are having the same database structure in terms of design and tables format. Only difference is that both the servers are being used separately.
9. This error OR problem is only related to Server A, where on the clients we get the message "error [hyt00] [microsoft][odbc sql server driver] query timeout expired" every now and then.
10. We have to frequently reboot the server whenever we get this message on the client machines. May be after rebooting every thing works perfectly for 2 hours / 5 Hours / may be one full day but
the the error will come back for sure.
11. Current Database back up size on Server A is around 35 GB and take around 1 hour 15 minutes daily to take the back up.
12. Current Database back up size on Server B is around 3 GB and take around 5 to 10 minutes daily to take the back up.
13. One thing I have noticed is that when ever we reboot Server A, for some time sqlsrvr.exe file will show memory usage of 200 to 300 MBs but it will start using slowly, what i understand is that
this is the way SQL Server works.
14. Both the Servers are also running Quick heal Antivirus Server Edition separate licensed copies also.
15. Server B is also running Tally ERP 9 Licenses copy which is being used locally by 15 users of Ichalkaranji (District - Kolhapur, Maharashtra) same users
Can any one help to resolve this issue. Any help will be highly appreciated.

The error message "query timeout expired" occurs, because by default many APIs, including ODBC only waits for 30 seconds for SQL Server to send any output. If no data has been seen for this period of time, they tell SQL Server to cancel execution
and return this error to the caller.
This timeout could be seen as a token that the query is taking too long time to execute and this needs to be fixed. But it can also be a pain in the rear parts, if you are content with a report taking five minutes, because you only run it once a day.
The simplest way to get rid of the error is to set the timeout to zero, which means "wait forever". This is something your vendor would have to do. This may, however, not resolve the problem, as the users may just find that the application is hanging.
To wit, there are two reasons why the query takes more than 30 seconds to complete. One is that there is simply that much work to do. This can be reduced by adding indexes or by doing other tuning, if the execution time is not acceptable. The other possibility
is blocking. That is, there is a process blocking this query from completing. This is much more likely to require attention.
It is not clear to me, whether the vendor has developed the database part as well. In this case, you should probably call the vendor's support desk to have them to sort this out.
Finally, I am little puzzled. You say that you are using Express Edition, but one of the databases is 35 GB in size. 35 GB is far above the limit for Express Edition.
Erland Sommarskog, SQL Server MVP, [email protected]

SQL+-MULTI TABLE QUERY PROBLEM

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