I want to update a table 8 million records of a table which has 10 millions records, what could be the best strategy if the table has a BLOB column with 600GB worth of data. BLOB itself is 550GB. I am not updating the BLOB column. Usually with non-BLOB data i have tried doing "CREATE TABLE new_table as select <do the update "here"> from old_table;" method .
the problem is: 2 tables - one with 2 million records, and the other with 8000 records.
i need to compare for each record in a table if there's a similar string on the other table.
i've created a procedure that does the following:
opens the first cursor (select col1,col2,col3,col4... from table 1) loop opens second cursor (select col1 from table 2) loop if utl_match(col1, table2.col1) > 80 then insert col1,col2,col3,col4... into tableX end if close second cursor close first cursor
the thing is that this procedure takes forever to end...about 8 days.
is it because im using the utl_match function? is there a way to speed this up?
I want to know how we can insert more than 3 million records from one table to another table. Can we use Bulk collect and forall to insert the all data.Can we use create table tableB as select * from tableA; From the above which is one is performance wise good.
Lets take the basic emp table for our Referenece and lets assume that it contains around 60000 Records and all the deptno in that table are Initially 10. Please provide an update statement which would update deptno column of EMP table((based on) order by EMPNO) in for every 120 records incrementing by 1.(DeptNo to be incremented by 1,like 10 ,11 , 12 etc).
First 120 Records deptno should be 10, Next 120 Records deptno should be 11, and so on. . . . . . . For Last 120 records deptno should be updated with 500.
Ways for improving the Table performance which holds million of records for oracle. Currently we have partitioning and indexing but it doesn't seem to work.
I would like to know if we can insert 300 million records into an oracle table using a database link. The target table is inproduction and the source table is in development on different servers.The target table will be empty and have its indexes disabled before the insert. if this can be accomplished in less than 1 hour.
Oracle 11gI have a large table of 125 million records - t3_universe. This table never gets updated or altered once loaded, but holds data that we receive from a lead company. I need to select records from this large table that fit certain demographic criteria and insert those into a smaller table - T3_Leads - that will be updated with regard to when the lead is mailed and for other relevant information. select records from this 125 million record table to insert into the smaller table.
I have tried a variety of things - views, materialized views, direct insert into smaller table...I think I am probably missing other approaches. My current attempt has been to create a View using the query that selects the records as shown below. Then use a second query that inserts into T3_Leads from this View V_Market. This is very slow. Can I just use an Insert Into T3_Leads with this query - it did not seem to work with the WITH clause? My Index on the large table is t3_universe_composite and includes zip_code, address_key, household_key.
CREATE VIEW V_Market asWITH got_pairs AS ( SELECT /*+ INDEX_FFS(t3_universe t3_universe_composite) */ l.zip_code, l.zip_plus_4, l.p1_givenname, l.surname, l.address, l.city, l.state, l.household_key, l.hh_type as l_hh_type, l.address_key, l.narrowband_income, l.p1_ms, l.p1_gender, l.p1_exact_age, l.p1_personkey, e.hh_type as filler_data, 1.p1_seq_no, l.p2_seq_no , ROW_NUMBER () OVER ( PARTITION BY l.address_key ORDER BY l.hh_verification_date DESC ) AS r_num FROM t3_universe e JOIN t3_universe l ON l.address_key = e.address_key AND l.zip_code = e.zip_code AND l.p1_gender != e.p1_gender
and I would like insert the same gross and net column values of ids 7 to 16 into columns with the ids 40 to 49 in the same order. therefore I would like to obtain the result that I describe below:
I have made a correlated update statement using rowid. Find my attachment. Its updating all columns which i wanted but issue is that its not updating in 1st commit.
Suppose 6 rows is to be updated, then in 1st commit its updating 1 record, then in 2nd commit its updating 2nd record and so on. And in Toad its showing 6 rows updated in 1st commit, then 5 rows updated in 2nd commit and 1 rows updated in last record. I want that all records to be updated in first commit only.
I have a form with two data blocks, one parent, one child block.
The parent is holds mineral lease info while the child holds the mineral owner info, such as addresses and phone numbers. One owner can be in the owner block multiple times (different owner types). The form only displays one owner at a time.
We have a separate master owner table which holds owner address. (We set it up this way because we get electronic info from mineral companies that we have to load each year).
As you tab through the owner block, it checks the FEIN against the master table and pulls updated address info from the master table.
I have a problem in which if an owner is on the lease multiple times, when you tab through the first instance, it pulls in the new address info, but when you go to the next instance, it won't update. If you requery, it seems that the first update actually updated all the owner records on that lease. How can I turn this off?
I have a situation where there are multiple records for a join criteria. I am trying to find a way to update a particular column for all the records returned by the join criteria. Example :
I am trying to bulk update records in oracle using XML , front end is vb.net.Now the problem when i updating for 1000 - 5000 records on my development server. Its getting updated.
But when we are updating on the production server for 100000-200000 records , we receive error
"ORA-01460: unimplemented or unreasonable conversion requested "
I need to find the identical rows in the below table based on ID column and update the previous identical record's end_date with latest record's start_date-1.
When I run the code below It runs very Long. It updates SUSR5 in the TEMPTABLE3 that has 112000 records. If I Change it when c>m to 2 to test. It runs very fast. The value for m is always between 10000 and 12000. That How many times it must loop to update the correct records.
I've created a system for managing football within APEX and it is at a stage now whereby the user can view any number of the tables through Reports and insert data into these tables through Tabular Forms. Its using triggers and sequences to allow for new primary keys to be generated each time within these Tabular Forms so I'm at a stage now where I'm really quite pleased with it..
The last thing I'm needing to do now is have it update certain fields when certain records are entered.
club1 (clubId foreign key from clubs table) club2 (clubId foreign key from clubs table) club1goals (the amount of goals, type Number) club2goals (the amount of goals, type Number) club1points (points earned, Type Number) club2points (points earned, Type Number)
When filling out a result, the user will enter the following (as an example):
club1 - 1 (club with ID, 1) club2 - 12 (club with ID, 12) club1goals - 2 (the first club scored 2 goals) club2goals - 0 (the second club scored 0 goals) club1points - 3 (the first club picked up 3 points) club2points - 0 (the second club picked up 0 points)
The result is then entered into the results table and what I am hoping to achieve at this stage is the following:
1) in the clubs table, the gamesplayed is incremented by 1 for both clubs as a result of playing this fixture
2) club1 has however many goals club1 scored added to its current clubtotalgoals field (in this case, it is of course 2)
3) club1 has however many points club1 earned to its current clubPoints field. (In this case it would be 3)
I have a multi record block based on a view. All records in the view are displayed in the block by use of Post-Query trigger when entering the form.
The block has 5 items as follows:
1) RECORD_STATUS = a non-base table column which is a checkbox. 2) ITEM_TYPE = a text-item which has an LOV attached. 3) ITEM_TEXT = a text-item which is free format text. 4) LAST_UPDATE_DATE a date column 5) STATUS = a text item either 'Open' or 'Closed'
The LOV is based on a table of Item Types with values say, 'Type1', upto 'Type9'.
I have a Wnen-New-Record-Instance trigger which 'Posts' changes to the database. This has been included as i want to limit the values of the ITEM_TYPE column to values which have not been previously used.
Consider this scenario...
The block has 3 records.
record 1 has 'Closed' status so no updates are allowed. record 2 has 'Open' status so updating of Item_Text is allowed. record 3 has 'Open' status so updating of Item_Text is allowed.
I check the RECORD_STATUS checkbox on record2.
(This sets the RECORD_STATUS checkbox to a checked value and changes the STATUS column to 'Closed' by When-Checkbox-Changed trigger.) At this point the record has not been saved so if you uncheck the checkbox , then the STATUS column will go back to 'Open'. However at this point i will leave it as Checked (Closed).
I then insert a new record, only values Item4 to Item 9 are correctly shown in the LOV. I select Item4.
I then go back to the previous record and uncheck the Checkbox to say that i wish to leave it 'Open' after all (in effect no changes have occurred), then the STATUS column correctly reverts back to 'Open' by my WCC trigger. If i then SAVE the changes, the new record has been inserted on the database correctly, however the LAST_UPDATED_DATE from the record which was checked and then unchecked has also been updated incorrectly even though no net changes have actually occurred.
(because i am using WNRI trigger to limit the List of Values on the LOV column, this has incorrectly set the previous records LAST_UPDATED_DATE column to be Sysdate.)
Table 1Name Item DateJon Apples 06/11/2013 00:30:00 hrsSam OrangesNish Apples Table 2 - Net countName Item CountNish Apples 10Nish Oranges 17Nish BananaSam Apples 10Sam Oranges 1Sam Bananas 1Jon Apples 8
I need to create a job that checks Table 1 for new records added after last run and then add the count in Table 2 accordingly.how to achieve this using PL/SQl or something similar
I need to insert almost million rows in my database.I have already split the row in separate files so that task would be easier. Now, i am planning to put commit after every 1000 line so that undo generation would be less and no locking would take place if i inserting those lines from multiple sessions.
But how can i insert commit after every 1000 line??
I huge table with million of rows and no of column more than 300.. is it possible to keep this table in some memory where oracle can access it fast as compare to disk memory.
We have two tables, TableA and TableB that contain list of accounts and balances.The requirement is to compare the balances of accounts in both the tables, and if there is a difference, then record that difference with account number in another table.
Both TableA and TableB contain more than 10 million rows.What is the best way to do this task in PL/SQL? A join on TableA and TableB to know the differences has become very slow due to large volume.
Due to some business requirements a table field needs to change from date to timestamp in order to handle the millisecs.
1>When i alter the row , for a table with 150 million recs will there be a conversion. Is there a recommended way to convert the field. Mind you this field is used as a part of composite PK.
2> There is a interfacing application which connects and copies the data to its system and is using the date type, will that application be able to continue to work without any changes, if it does not care about the millisecs.
3> Will there be performance impact on an existing application that uses the date field to sort
trying to update a column in a table which has 3 columns of 16million rows from column in another table which has 1million rows, there is no relationship between the 2 tables.
Table A has 3 columns of 16million rows, the first two columns have 16million ID numbers, the 3rd colunm is currently NULL.
Table B has 1million Numbers, i need to somehow update column 3 in table A using the numbers in table B, it doesnt how many times each of the 1 million numbers are used but i dont want it to just update every row to the same value.