Query Optimization On Join With A View On Huge Table?
Jun 22, 2011
I have this table
create table ACTIONARI_ARH
(
actionar_id NUMBER(10) not null,
id VARCHAR2(20) not null,
id_2 VARCHAR2(20),
tip VARCHAR2(1),
nume VARCHAR2(100),
prenume VARCHAR2(100),
adresa VARCHAR2(200),
[code]....
and this view
CREATE OR REPLACE VIEW ACTIONARI AS
SELECT "ACTIONAR_ID","ID","ID_2","TIP","NUME","PRENUME","ADRESA","LOCALITATE","JUDET","TARA","CERT_DECES","DATA_REGISTRU" Data_operare,"USER_MODIF","DATA_MODIF","REZIDENT"
FROM (
select
[code]....
The table has about 30 milion records and holds persons names, addresses, personal id (id), and internal id(actionar_id) and date when a new adress has been added.
The view is about getting only the most recent info for one person (actionar_id).
if i run a
a) select * from actionari a where a.actionar_id = 'nnnnnnn', result is returned immediatly, oracle uses index and does not do a full table scan.
b) select * from actionari a where a.actionar_id in ('nnnnnnn','mmmmmm','ooooooo'), result is returned immediatly, oracle uses index and does not do a full table scan.
my problem when i use this view in a join.let's assume i have another table with no more than 500 records, something like
create table SMALL_TABLE
(
actionar_id NUMBER(10) not null,
......
);
and if i run
select *
from SMALL_TABLE s
join actionari a
on a.actionar_id = s.actionar_id;
it takes like forever to process, forever means 1~3 minutes.by looking at the execution plan, oracle does a full table scan, creates the view for all unique 7milion persons, and only then joins the result with the actionar_is's in the small table and returns the desired 500 record result.i am using oracle 10g.
I need to view the rows of the result of a select query in table format in GUI application.I have used XMLELEMENT to somewhat match the scenario to display as ','(comma) separate values as b belwo
Consider tables A,B,C,D,E,F. all are having 100000++ records Tables B,C,D are dependent on table A (with foreign key constraint). When I am deleting records from all tables, table B,C,D are taking max 30-40 seconds while table A is taking 30-40 mins. All tables are having indexes.
Method I have used:
1. Created Temp table
2. then deleted all records from B,C,D,E,F for all records in temp table for limit of 500.
delete from B where exists (select 1 from temp where b.col1=temp.col1);
3. why it is taking too much time for deleting records in table A.
I have a table which have 300+ columns and have 13 million rows. It is on a 32 kb block size. This is a table in data ware house environment. There no# of rows in the table haven't changed much but I see that the time taken to collect statistics have increased significantly.Initially it took only 15 minutes (with the same 13M rows) now it runs for 4+ hours. The max parallel servers is 4 (which is unchanged). The table is not partitioned.
OS: HP UX Itanium Database: Oracle 11g (11.2.0.2)
Command is: exec dbms_stats.gather_table_stats(ownname=>'ABC',tabname=>'ABC_LOAD',estimate_percent=>dbms_stats.auto_sample_size,cascade=>TRUE,DEGREE=>dbms_stats.auto_degree);
I would like to understand:
1) What could have been the causes of this change in time. 15 minutes to 4+hours ? 2) How can we gather statistics of huge table at a faster rate?
I would like INSERT data in a VIEW with a INNER JOIN, like this example:
CODECREATE VIEW MYVIEW (order_id,list_price,customer_id) AS SELECT order_id, list_price, customer_id FROM ORDERS o INNER JOIN PRODUCT_INFO p ON (o.order_id= p.pdt_id);
INSERT INTO MYVIEW VALUES (4,500,10); /* will cause an error*/
But when I try to execute the insert statement, the "SQL Developer" returns a error:
ORA-01779 - "cannot modify a column which maps to a non key-preserved".
Need to change the precision of a column in a existing table. Statistics about the table
* has over 130 columns * More than 300 million records * Column to modify is #121 which has data * No primary key defined
Since the column has data, it is not possible to modify with a simple Alter.
Second option - create temp column in same table, update from original, put null in original, alter, update back from temp, drop the temp column. This approach is very expensive and time consuming.
I am trying to delete 3 million records of data from huge table which already consists of 3 billion records.
This is hitting performance of DB and halting other activities of my users. Is there any easy way to delete such data fast. I have tried with forall delete but it is even taking lot of time.
I want to drop a column in a huge table which contain about 420,000,000 rows,i use the alter table drop coumn command to execute,and found it takes a long time and generate huge redo.
Is there any quickly way to drop a column in a huge table?
I need to load (using SQL Loader) an huge XML file, with several hundreds of records into an Oracle Table.The XML file schema is pretty simple, and it's anything like this:
<dataroot> <record> <companyname>LimitSoft S.A.</companyname> <address>Street Number 1</address>
[code]...
I'm trying to use the help included in this link [URL]...
When they refer to schema[URL].... what should I use?? I do not need to use the Oracle website to register anything, right?
I have a dynamic query stored in a function that returns a customized SQL statement depending on the environment it is running in. I would like to create a Materialized View that uses this dynamic query.
I have the following situation. There are two selects in the which look like this
UPDATE TABLE_B B SET ( target
[Code]....
DB: Oracle 10i
MyFunction is relatively expensive and the second select works on a subset of the data considered in the first one (because of a.col2 > b.col3). For this reason I am looking for a way to do the job in only one update statement and compute MyFunction (a.x) only once per row.
I have an attendance table in which we have empno, time_in, time_out..etc.
I want to create a matrix report that should shows all dates of any specific required month in columns and present empno in rows and time_in in cells.
I did it with using a temporary table by filling all the required dates and outer join with attendance table, it works fine, but it takes so long, is there any other better fast way to do it?
I have been told to create a query which should give out the same output as the UI of an exception management application . However , many referenced tables have one to many relationship . I created a query using a function which was giving the required output . But the performance of the query was not good as for each row . Is there a method to create a select using joins to show one to many relationship in a table .
Table Two TableTwoId Name 1 Jones 2 Smith 3 Edwards 4 Camden
My SQL to fetch all records with Smith works great:
select Name from TableTwo Inner Join TableOne on TableTwo.TableTwoId in (TableOne.pocOne, TableOne.pocTwo) where Name = 'Smith'
Now I need to create an alias for the Name field. Here is my attempt:
select myAliasName from TableTwo Inner Join TableOne on TableTwo.TableTwoId in (TableOne.pocOne, TableOne.pocTwo), (select Name as myAliasName from TableTwo) where myAliasName = 'Smith'
This attempt pulls up all the records instead of just Smith records. How I can create an alias for the Name field in my above query?
My data warehouse application involves partitioned tables where indexes are originally unusable on the last partition and only built until the next partition is created. We have a query tool that our users use to query this table that has an option "include not indexed data", which is essentially telling the tool whether to include that last partition in the query. IF this is checked, and they are filtering against on of the indexed fields, there is the potential for an Oracle error stating it tried to use an unusable index so our tool basically builds the query like this:
select ... from ( select ... from table where partition_key < (last usable partition key) union select /*+ NO_INDEX */ ... from table where partition_key >= (last usable partition key) ) where index_field = :value
I have had a difficult time getting reasonable data to test this myself, so I'm asking the question here:
Is Oracle probably pushing that outer filter into the inner individual queries in the UNION? If we were to move the index_field filter into the inner query against each of the individual queries in the union, would it make a difference performance-wise?
DIDDOB_INFO(VARCHAR2) 34425 Mar 1967 123 12 MAR 1963;25 FEB 1974;25 AUG 1978 46515 FEB 1980
I want to join the columns DOB from table -1 and DOB_INFO from table 2 but the datatype of DOB is DATE and DOB_INFO is VARCHAR. TO_DATE function is not working here.
How to use outer join condition in my below query. In the table APPS_JP.GEDIS_OFFER_HEADER goh I have more records in the table APPS_JP.GEDIS_ORDER_BUILDS gob I have less number of records.
I want all the records from APPS_JP.GEDIS_OFFER_HEADER goh including other conditions. I have tried goh.OFFER_NO=gob.OFFER_NO(+) but same result.
