This section contains the create
and insert
statements to run the examples from Chapter 8, “Modifying Data” in an Oracle database. There is only one query that reports all figures for the insert
, delete
and update
sections.
CREATE TABLE scale_write_0 AS
WITH generator AS (
SELECT --+ materialize
level n
FROM DUAL
CONNECT BY level <= 10000
)
SELECT rownum id1
, CEIL(DBMS_RANDOM.VALUE(1000000,9999999)) id2
, CEIL(DBMS_RANDOM.VALUE(1000000,9999999)) id3
, CEIL(DBMS_RANDOM.VALUE(1000000,9999999)) id4
, CEIL(DBMS_RANDOM.VALUE(1000000,9999999)) id5
FROM generator, generator
WHERE rownum <= 10000000;
CREATE TABLE scale_write_1 AS
SELECT * from scale_write_0;
CREATE TABLE scale_write_2 AS
SELECT * from scale_write_0;
CREATE TABLE scale_write_3 AS
SELECT * from scale_write_0;
CREATE TABLE scale_write_4 AS
SELECT * from scale_write_0;
CREATE TABLE scale_write_5 AS
SELECT * from scale_write_0;
CREATE INDEX scale_write_1_1 on scale_write_1(id1);
CREATE INDEX scale_write_2_1 on scale_write_2(id1);
CREATE INDEX scale_write_2_2 on scale_write_2(id2, id1);
CREATE INDEX scale_write_3_1 on scale_write_3(id1);
CREATE INDEX scale_write_3_2 on scale_write_3(id2, id1);
CREATE INDEX scale_write_3_3 on scale_write_3(id3, id2, id1);
CREATE INDEX scale_write_4_1 on scale_write_4(id1);
CREATE INDEX scale_write_4_2 on scale_write_4(id2, id1);
CREATE INDEX scale_write_4_3 on scale_write_4(id3, id2, id1);
CREATE INDEX scale_write_4_4 on scale_write_4(id4, id3, id2
, id1);
CREATE INDEX scale_write_5_1 on scale_write_5(id1);
CREATE INDEX scale_write_5_2 on scale_write_5(id2, id1);
CREATE INDEX scale_write_5_3 on scale_write_5(id3, id2, id1);
CREATE INDEX scale_write_5_4 on scale_write_5(id4, id3, id2
, id1);
CREATE INDEX scale_write_5_5 on scale_write_5(id5, id4, id3
, id2, id1);
begin
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_0', cascade=>true);
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_1', cascade=>true);
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_2', cascade=>true);
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_3', cascade=>true);
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_4', cascade=>true);
DBMS_STATS.GATHER_TABLE_STATS(user
, 'SCALE_WRITE_5', cascade=>true);
end;
/
create or replace
PACKAGE test_write_scalability IS
TYPE piped_output IS
RECORD ( idxes NUMBER
, cmnd VARCHAR2(255)
, seconds NUMBER
, id1 NUMBER);
TYPE piped_output_table IS TABLE OF piped_output;
FUNCTION run(n IN number)
RETURN test_write_scalability.piped_output_table PIPELINED;
END;
create or replace
PACKAGE BODY test_write_scalability
IS
TYPE tmp IS TABLE OF piped_output INDEX BY PLS_INTEGER;
FUNCTION run_insert(tbl IN NUMBER, d1 IN NUMBER)
RETURN VARCHAR2
AS
r2 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r3 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r4 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r5 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
BEGIN
CASE tbl
WHEN 0 THEN
INSERT INTO scale_write_0 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
WHEN 1 THEN
INSERT INTO scale_write_1 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
WHEN 2 THEN
INSERT INTO scale_write_2 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
WHEN 3 THEN
INSERT INTO scale_write_3 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
WHEN 4 THEN
INSERT INTO scale_write_4 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
WHEN 5 THEN
INSERT INTO scale_write_5 (id1, id2, id3, id4, id5)
VALUES ( d1, r2, r3, r4, r5);
END CASE;
RETURN 'insert';
END;
FUNCTION run_delete(tbl IN NUMBER, d1 IN NUMBER)
RETURN VARCHAR2
AS
BEGIN
CASE tbl
WHEN 1 THEN
DELETE FROM scale_write_1 WHERE id1 = d1;
WHEN 2 THEN
DELETE FROM scale_write_2 WHERE id1 = d1;
WHEN 3 THEN
DELETE FROM scale_write_3 WHERE id1 = d1;
WHEN 4 THEN
DELETE FROM scale_write_4 WHERE id1 = d1;
WHEN 5 THEN
DELETE FROM scale_write_5 WHERE id1 = d1;
ELSE NULL;
END CASE;
IF SQL%ROWCOUNT > 0 THEN RETURN 'delete';
ELSE RETURN NULL; END IF;
END;
FUNCTION run_update_all(tbl IN NUMBER, d1 IN NUMBER)
RETURN VARCHAR2
AS
r2 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r3 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r4 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
r5 NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
BEGIN
CASE tbl
WHEN 1 THEN
UPDATE scale_write_1
SET id2 = r2, id3=r3, id4=r4, id5=r5 WHERE id1=d1;
WHEN 2 THEN
UPDATE scale_write_2
SET id2 = r2, id3=r3, id4=r4, id5=r5 WHERE id1=d1;
WHEN 3 THEN
UPDATE scale_write_3
SET id2 = r2, id3=r3, id4=r4, id5=r5 WHERE id1=d1;
WHEN 4 THEN
UPDATE scale_write_4
SET id2 = r2, id3=r3, id4=r4, id5=r5 WHERE id1=d1;
WHEN 5 THEN
UPDATE scale_write_5
SET id2 = r2, id3=r3, id4=r4, id5=r5 WHERE id1=d1;
ELSE NULL;
END CASE;
IF SQL%ROWCOUNT > 0 THEN RETURN 'update all';
ELSE RETURN NULL; END IF;
END;
FUNCTION run_update_one(tbl IN NUMBER, d1 IN NUMBER)
RETURN VARCHAR2
AS
r NUMBER := CEIL(DBMS_RANDOM.VALUE(1000000,9999999));
BEGIN
CASE tbl
WHEN 1 THEN -- no index updated
UPDATE scale_write_1 SET id2 = r WHERE id1=d1;
WHEN 2 THEN -- one index updated
UPDATE scale_write_2 SET id2 = r WHERE id1=d1;
WHEN 3 THEN -- one index updated
UPDATE scale_write_3 SET id3 = r WHERE id1=d1;
WHEN 4 THEN -- one index updated
UPDATE scale_write_4 SET id4 = r WHERE id1=d1;
WHEN 5 THEN -- one index updated
UPDATE scale_write_5 SET id5 = r WHERE id1=d1;
ELSE NULL;
END CASE;
IF SQL%ROWCOUNT > 0 THEN RETURN 'update one';
ELSE RETURN NULL; END IF;
END;
FUNCTION run(n IN NUMBER)
RETURN test_write_scalability.piped_output_table PIPELINED
IS
PRAGMA AUTONOMOUS_TRANSACTION;
rec test_write_scalability.piped_output;
id1 NUMBER;
tbl NUMBER;
strt TIMESTAMP(9);
cmnd NUMBER;
d1 NUMBER;
q NUMBER;
begn NUMBER;
iter NUMBER;
r NUMBER;
tmp DATE;
BEGIN
SELECT CEIL((max(id1)-min(id1))/4) into q FROM scale_write_1;
iter := n;
WHILE iter > 0 LOOP
FOR cmd IN 0 .. 3 LOOP
r := TRUNC(DBMS_RANDOM.VALUE(0, q));
FOR tbl IN 0 .. 5 LOOP
strt := systimestamp;
rec.cmnd :=
CASE cmd
WHEN 0 THEN run_update_all(tbl, r + cmd*q)
WHEN 1 THEN run_insert (tbl, r + cmd*q)
WHEN 2 THEN run_update_one(tbl, r + cmd*q)
WHEN 3 THEN run_delete (tbl, r + cmd*q)
END;
IF rec.cmnd IS NOT NULL THEN
COMMIT;
-- magic: convert INTERVAL DAYS TO SECONDS
-- to NUMERIC (seconds)
tmp := sysdate;
rec.seconds := tmp
+ (systimestamp - strt)*86400
- tmp;
rec.idxes := tbl;
rec.id1 := r + cmd*q;
PIPE ROW(rec);
END IF;
END LOOP;
END LOOP;
iter := iter - 1;
END LOOP;
COMMIT;
RETURN;
END run;
END test_write_scalability;
SELECT *
FROM (SELECT idxes, cmnd, seconds
FROM TABLE (test_write_scalability.run(1000)
)
PIVOT (AVG(seconds)
FOR cmnd
IN ('insert', 'delete', 'update all', 'update one')
);