How to speed up MySQL Insertion of millions of rows?
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I want to insert 10 million rows to MySQL table. But it completed in 10 h 12 m 13 s 29 ms. How to speed it up?
Here is my SQL
USE foo;
DROP TABLE IF EXISTS tmp;
CREATE TABLE tmp (
id INT UNSIGNED PRIMARY KEY AUTO_INCREMENT,
school_id CHAR(4) NOT NULL,
student_id CHAR(6) NOT NULL,
INDEX school_id(school_id),
INDEX student_id(student_id),
INDEX school_id_and_student_id(school_id, student_id)
);
DROP PROCEDURE IF EXISTS tmpproc;
CREATE PROCEDURE tmpproc() BEGIN
DECLARE i INT UNSIGNED DEFAULT 0;
WHILE i < 10000000 DO
INSERT INTO tmp (school_id, student_id)
VALUES (SUBSTR(MD5(RAND()) FROM 1 FOR 4), SUBSTR(MD5(RAND()) FROM 1 FOR 6));
SET i = i + 1;
END WHILE;
END;
CALL tmpproc();
mysql sql insert
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
add a comment |
0
I want to insert 10 million rows to MySQL table. But it completed in 10 h 12 m 13 s 29 ms. How to speed it up?
Here is my SQL
USE foo;
DROP TABLE IF EXISTS tmp;
CREATE TABLE tmp (
id INT UNSIGNED PRIMARY KEY AUTO_INCREMENT,
school_id CHAR(4) NOT NULL,
student_id CHAR(6) NOT NULL,
INDEX school_id(school_id),
INDEX student_id(student_id),
INDEX school_id_and_student_id(school_id, student_id)
);
DROP PROCEDURE IF EXISTS tmpproc;
CREATE PROCEDURE tmpproc() BEGIN
DECLARE i INT UNSIGNED DEFAULT 0;
WHILE i < 10000000 DO
INSERT INTO tmp (school_id, student_id)
VALUES (SUBSTR(MD5(RAND()) FROM 1 FOR 4), SUBSTR(MD5(RAND()) FROM 1 FOR 6));
SET i = i + 1;
END WHILE;
END;
CALL tmpproc();
mysql sql insert
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11
add a comment |
0
0
0
I want to insert 10 million rows to MySQL table. But it completed in 10 h 12 m 13 s 29 ms. How to speed it up?
Here is my SQL
USE foo;
DROP TABLE IF EXISTS tmp;
CREATE TABLE tmp (
id INT UNSIGNED PRIMARY KEY AUTO_INCREMENT,
school_id CHAR(4) NOT NULL,
student_id CHAR(6) NOT NULL,
INDEX school_id(school_id),
INDEX student_id(student_id),
INDEX school_id_and_student_id(school_id, student_id)
);
DROP PROCEDURE IF EXISTS tmpproc;
CREATE PROCEDURE tmpproc() BEGIN
DECLARE i INT UNSIGNED DEFAULT 0;
WHILE i < 10000000 DO
INSERT INTO tmp (school_id, student_id)
VALUES (SUBSTR(MD5(RAND()) FROM 1 FOR 4), SUBSTR(MD5(RAND()) FROM 1 FOR 6));
SET i = i + 1;
END WHILE;
END;
CALL tmpproc();
mysql sql insert
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
I want to insert 10 million rows to MySQL table. But it completed in 10 h 12 m 13 s 29 ms. How to speed it up?
Here is my SQL
USE foo;
DROP TABLE IF EXISTS tmp;
CREATE TABLE tmp (
id INT UNSIGNED PRIMARY KEY AUTO_INCREMENT,
school_id CHAR(4) NOT NULL,
student_id CHAR(6) NOT NULL,
INDEX school_id(school_id),
INDEX student_id(student_id),
INDEX school_id_and_student_id(school_id, student_id)
);
DROP PROCEDURE IF EXISTS tmpproc;
CREATE PROCEDURE tmpproc() BEGIN
DECLARE i INT UNSIGNED DEFAULT 0;
WHILE i < 10000000 DO
INSERT INTO tmp (school_id, student_id)
VALUES (SUBSTR(MD5(RAND()) FROM 1 FOR 4), SUBSTR(MD5(RAND()) FROM 1 FOR 6));
SET i = i + 1;
END WHILE;
END;
CALL tmpproc();
mysql sql insert
mysql sql insert
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
edited Nov 24 '18 at 1:33
BaiJiFeiLong
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
asked Nov 23 '18 at 8:09
BaiJiFeiLongBaiJiFeiLong
665511
665511
I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11
add a comment |
I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11
I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11
add a comment |
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I don't know MySQL very well, but I'd see if smaller transactions help. Commit once in a while, for each 10000 rows perhaps?
– jarlh
Nov 23 '18 at 8:13
For my experience, insert multiple rows within one statement is very fast, and MySQL's dump are also in this way. But I don't know why.
– Geno Chen
Nov 23 '18 at 8:20
Also you can look at stackoverflow.com/questions/6889065.
– Geno Chen
Nov 23 '18 at 8:21
Possible duplicate of stackoverflow.com/questions/1793169.
– Geno Chen
Nov 23 '18 at 8:25
Remove all the indexes at first. Once you have completed the inserts then create index. Also you could just create one INDEX on school_id and student_id Having index while inserting introduces overhead.
– AmeyaN99
Nov 23 '18 at 10:11