Updating millions of rows bulk collect Duquoin illibois nude

Hi Everyone, Hope you guys can help me with this... 125 rows ); however when i try to fetch (Bulk collect) from the cursor into PL/SQL table which i defined for my record it is taking 8 min for every 2000 records.I am trying to update 8000 records into a table using bulk binding. ); --PL/SQL table for record i defined TYPE t_gbi_rec IS TABLE OF gbi_rec; v_gbi_rec t_gbi_rec; My select query in the cursor when ran seperately doesnt take more than a min to fetch the data cursor c_imp_gbi select rowid, hosp_num, fac_type, fac_abbr, cvt_occ, h_abbr, ......... FETCH c_imp_gbi BULK COLLECT into v_gbi_rec LIMIT 2000; EXIT WHEN NOT (v_gbi_rec. the total time for update process is taking 35 min for 8,000 records which i think is very long after using Bulk binding any thoughts why the process is taking so long, especiallly the fetch? SET (hosp_num = v_gbi_rec(i).hosp_num , fac_type = v_gbi_rec(i).fac_type, fac_abbr = v_gbi_rec(i).fac_abbr, cvt_occ = v_gbi_rec(i).cvt_occ, ............... I would try 100 and bench test a couple numbers until you find the best number for your db and server.I am trying to update some 15 tables with an average of 20 million records in each. When you have to update a very large number of rows, in most cases the best way is to recreate the tables with the new (updated) data in place of the old data. Eventually you can define the new table as NOLOGGING and/or perform each operation using PARALLEL.I have used simple update with commit after each statement. UPDATE is the heaviest DML operation and it will take a long time, regardless of whether you COMMIT after each update operation (for one table) or at end only. As an alternative, you can create the new table as an empty table and then use INSERT /* APPEND */ SELECT ...

Before, we begin to write code and run these scripts, we will need to do a prep work for this exercise.COUNT INSERT INTO child VALUES (uw_selection(i).part_num, uw_selection(i).part_name); COMMIT; END fast_way; /; l_last_ddl_time dbms_sql. 200000 LOOP SELECT DECODE(k, 'Transducer', 'Rectifier', 'Rectifier', 'Capacitor', 'Capacitor', 'Knob', 'Knob', 'Chassis', 'Chassis', 'Transducer') INTO k FROM dual; INSERT INTO parent VALUES (i, k); END LOOP; COMMIT; END; / SELECT COUNT(*) FROM parent; SELECT COUNT(*) FROM child; CREATE OR REPLACE PROCEDURE fast_way AUTHID CURRENT_USER IS TYPE Part Num IS TABLE OF parent.part_num%TYPE INDEX BY BINARY_INTEGER; pnum_t Part Num; TYPE Part Name IS TABLE OF parent.part_name%TYPE INDEX BY BINARY_INTEGER; pnam_t Part Name; BEGIN SELECT part_num, part_name BULK COLLECT INTO pnum_t, pnam_t FROM parent; FORALL i IN 1 .. COUNT INSERT INTO child (part_num, part_name) VALUES (p_rec.part_num(i), p_rec.part_name(i)); EXIT WHEN (l_done); END LOOP; COMMIT; CLOSE c; END fast_way; / set timing on exec fast_way -- 0.51TRUNCATE TABLE child; set timing on exec slow_way; exec fast_way; set timing off TRUNCATE TABLE child; CREATE OR REPLACE TRIGGER bi_child BEFORE INSERT ON child FOR EACH ROW BEGIN NULL; END bi_child; / set timing on exec slow_way; CREATE OR REPLACE PROCEDURE fast_way AUTHID CURRENT_USER IS TYPE myarray IS TABLE OF parent%ROWTYPE; l_data myarray; CURSOR r IS SELECT part_num, part_name FROM parent; BEGIN OPEN r; LOOP FETCH r BULK COLLECT INTO l_data LIMIT 1000; FOR j IN 1 .. COUNT LOOP l_data(j).part_num := l_data(j).part_num * 10; END LOOP; CREATE TABLE tsource AS SELECT * FROM dba_tables; INSERT INTO tsource SELECT * FROM tsource WHERE table_name = 'DUAL'; SELECT COUNT(*) FROM tsource; SELECT table_name, COUNT(*) FROM tsource GROUP BY table_name HAVING COUNT(*) 1; CREATE TABLE ttarget AS SELECT * FROM tsource WHERE 1=2; ALTER TABLE ttarget ADD CONSTRAINT pk_ttarget PRIMARY KEY (table_name); CREATE OR REPLACE PROCEDURE old_way AUTHID DEFINER IS BEGIN FOR orec IN (SELECT * FROM tsource) LOOP INSERT INTO ttarget VALUES orec; END LOOP; COMMIT; END old_way; / CREATE OR REPLACE PROCEDURE old_way AUTHID DEFINER IS BEGIN FOR orec IN (SELECT * FROM tsource) LOOP BEGIN INSERT INTO ttarget VALUES orec; EXCEPTION WHEN OTHERS THEN NULL; END; END LOOP; COMMIT; END old_way; / exec old_way; exec old_way; exec old_way; exec old_way; TRUNCATE TABLE ttarget; CREATE OR REPLACE PROCEDURE new_way AUTHID DEFINER IS TYPE myarray IS TABLE OF tsource%ROWTYPE; l_data myarray; CURSOR ocur IS SELECT CREATE TABLE airplanes2 AS SELECT * FROM airplanes WHERE 1=2; DECLARE TYPE myarray IS TABLE OF airplanes2%ROWTYPE; l_data myarray; CURSOR r IS SELECT * FROM airplanes; Batch Size CONSTANT POSITIVE := 1000; BEGIN OPEN r; LOOP FETCH r BULK COLLECT INTO l_data LIMIT Batch Size; FORALL i IN 1..l_data.COUNT INSERT INTO airplanes2 VALUES l_data(i); EXIT WHEN l_data.In January 2009, I wrote a section on performance tuning with pipelined functions for Steven Feuerstein's Oracle PL/SQL Programming, Fifth Edition.My contribution appears in Chapter 21 of the book, but I've re-printed it here for readers, courtesy of O'Reilly Media, Inc.uw_sel_row; uw_selection uw_sel_tab; BEGIN SELECT uw_sel_row(part_num, part_name) BULK COLLECT INTO uw_selection FROM parent; FOR i IN 1..uw_selection. COUNT SAVE EXCEPTIONS INSERT INTO test VALUES l_data(i); EXIT WHEN c%NOTFOUND; END LOOP; COMMIT; LOOP ecode := SQL%BULK_EXCEPTIONS(j).

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