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Oracle updating large tables

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begin -- 1 and 11 - hardcoded values, -- since your t_participants table has 11 000 000 rows for i in 1..11 loop merge t_contact c using (select * from t_participants where id between (i - 1) * 1000000 and i * 1000000) p on (= p.id) when matched then update ...; commit; end loop; end; I took size of a part 1000000 records, but you can choose another size.

tablespace_name, s.extent_management FROM user_tables t, user_tablespaces s WHERE t.tablespace_name = s.

If you've got the partitioning option, you can create your new table as a table with a single partition and simply swap it with EXCHANGE PARTITION.

Inserts require a LOT less undo and a direct path insert with nologging (// hint) won't generate much redo either.

I My SQL database has two tables, A and B, and I need to create a correspondence between them. Match = '0113456' where you may have the following values in the primary key of B: ('01','011','0112', '0113456', '0234', ...) B has usually about 40000 lines and A may have hundreds of thousands of lines.

A has two string columns, Text and Match where Match is the "best" prefix for Text, i.e., the foreign key of B which is largest prefix of Text. I'm programming in Delphi and, so far, I'm iterating through A and updating each row with the corresponding match from B. Initially, I wrote a query using the LIKE operator select prefix from B where :text like concat(prefix, '%') order by length(prefix) desc limit 1 I got a 15% gain with select prefix from B where left(:text, length(prefix)) = prefix order by length(prefix) desc limit 1 I don't know how to improve it more.

My procedure executes successfully on smaller datasets, but it will eventually be used on a remote db whose settings I can't control, so I'd like to EXECUTE the UPDATE statement in batches to avoid running out of undospace.

But the 2nd Where clause simply return the message of `more than one row is return', since the id is unpredictable and this create a `many to many' relationship in both tables. Many Thanks, (script) REM* the where-clause of the update cannot work UPDATE table b SET column_b1 = ( SELECT MAX(column_a1) FROM table_a a, table_b b WHERE a.id=GROUP BY a.id) WHERE table_IN (SELECT MIN(id) FROM table_a GROUP BY id); Your example is somewhat confusing -- you ask "update column a1 in table a where data in column b1 in table b" but your update shows you updating column b1 in table B with some data from table a. Every month the client office is to give data(NEW & EDITED) "BY DATE RANGWISE" to the headoffice in CD. Now, you "two step" it: insert into gtt select b.id, count(*) cnt from tabb b, taba a where = and a.cycle = b.cycle and b.site_id = 44 and b.rel_cd in ( 'code1', 'code2', 'code3' ) and b.groupid = '123' and is null group by / that gets all of the id/cnts for only the rows of interest.

Additionally -- given the way the where and set clauses are CODED in the above -- it would succeed. The Headoffice is merge the data into their system. For migration data first of all i create another temporary user named VISTEMP then cotinuing this kinds of code insert into VISTEMP. Now we can update the join: update ( select a.pop, from taba a, gtt b where = ) set pop = cnt / and thats it. Hi Tom, I’m selecting approximately 1 million records from some tables and populating another set of tables.

With either mechanism, there would probably sill be 'forensic' evidence of the old values (eg preserved in undo or in "available" space allocated to the table due to row movement).

declare l_fetchsize number := 10000; cursor cur_getrows is select rowid, random_function(my_column) from my_table; type rowid_tbl_type is table of urowid; type my_column_tbl_type is table of my_table.my_column%type; rowid_tbl rowid_tbl_type; my_column_tbl my_column_tbl_type; begin open cur_getrows; loop fetch cur_getrows bulk collect into rowid_tbl, my_column_tbl limit l_fetchsize; exit when rowid_tbl.count = 0; forall i in rowid_tbl.first..rowid_update my_table set my_column = my_column_tbl(i) where rowid = rowid_tbl(i); commit; end loop; close cur_getrows; end; / One should use the NTILE() analytic function if one wants evently sized sets; ORA_HASH can have unpredictable values, especially when using a value that isn't a power of 2 for the number of buckets to hash into.