MySQL importing CSV files really slow
I am trying to import CSV files into a table, but it has been very slow. I have about 1000 files with a file size of 40 MB each. Whenever I try to import it, I can see with for example MySQL workbench that it is inserting in a rate of about 30 - 60 rows per second. It will take ages before al my files are processed. How can I speed this up? I have already modified the mysql.cnf file to the following config, which unfortunately does not speed it up:
/etc/mysql/conf.d/mysql.cnf
[mysqld]
innodb_buffer_pool_size=12G
innodb_io_capacity = 2000
innodb_read_io_threads = 48
innodb_thread_concurrency = 0
innodb_write_io_threads = 48
innodb_buffer_pool_size=12G
innodb_log_file_size = 512M
max_connections = 1000
max_allowed_packet = 128M
#key_buffer = 1000M
bulk_insert_buffer_size = 1024M
innodb_doublewrite = 0
innodb_flush_log_at_trx_commit = 2
key_buffer_size = 4000M
It does say that 12G is configured in InnoDB according to PHPMyAdmin, so I can safely confirm that the config at least works.
Specs in case needed:
OS: Ubuntu 18.04
CPU: 6 cores, 12 threads @ 4.5 GHz
RAM: 32 GB DDR4 @ 3.2 GHz
SSD: 1 TB NVME @ 3.5 GB/s Read & 3.3 GB/s Write
18.04 mysql phpmyadmin mysql-workbench csv
asked 10 hours ago
Mark DMark D
1314
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Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
I am trying to import CSV files into a table, but it has been very slow. I have about 1000 files with a file size of 40 MB each. Whenever I try to import it, I can see with for example MySQL workbench that it is inserting in a rate of about 30 - 60 rows per second. It will take ages before al my files are processed. How can I speed this up? I have already modified the mysql.cnf file to the following config, which unfortunately does not speed it up:
/etc/mysql/conf.d/mysql.cnf
[mysqld]
innodb_buffer_pool_size=12G
innodb_io_capacity = 2000
innodb_read_io_threads = 48
innodb_thread_concurrency = 0
innodb_write_io_threads = 48
innodb_buffer_pool_size=12G
innodb_log_file_size = 512M
max_connections = 1000
max_allowed_packet = 128M
#key_buffer = 1000M
bulk_insert_buffer_size = 1024M
innodb_doublewrite = 0
innodb_flush_log_at_trx_commit = 2
key_buffer_size = 4000M
It does say that 12G is configured in InnoDB according to PHPMyAdmin, so I can safely confirm that the config at least works.
Specs in case needed:
OS: Ubuntu 18.04
CPU: 6 cores, 12 threads @ 4.5 GHz
RAM: 32 GB DDR4 @ 3.2 GHz
SSD: 1 TB NVME @ 3.5 GB/s Read & 3.3 GB/s Write
18.04 mysql phpmyadmin mysql-workbench csv
asked 10 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago
add a comment |
I am trying to import CSV files into a table, but it has been very slow. I have about 1000 files with a file size of 40 MB each. Whenever I try to import it, I can see with for example MySQL workbench that it is inserting in a rate of about 30 - 60 rows per second. It will take ages before al my files are processed. How can I speed this up? I have already modified the mysql.cnf file to the following config, which unfortunately does not speed it up:
/etc/mysql/conf.d/mysql.cnf
[mysqld]
innodb_buffer_pool_size=12G
innodb_io_capacity = 2000
innodb_read_io_threads = 48
innodb_thread_concurrency = 0
innodb_write_io_threads = 48
innodb_buffer_pool_size=12G
innodb_log_file_size = 512M
max_connections = 1000
max_allowed_packet = 128M
#key_buffer = 1000M
bulk_insert_buffer_size = 1024M
innodb_doublewrite = 0
innodb_flush_log_at_trx_commit = 2
key_buffer_size = 4000M
It does say that 12G is configured in InnoDB according to PHPMyAdmin, so I can safely confirm that the config at least works.
Specs in case needed:
OS: Ubuntu 18.04
CPU: 6 cores, 12 threads @ 4.5 GHz
RAM: 32 GB DDR4 @ 3.2 GHz
SSD: 1 TB NVME @ 3.5 GB/s Read & 3.3 GB/s Write
18.04 mysql phpmyadmin mysql-workbench csv
asked 10 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I am trying to import CSV files into a table, but it has been very slow. I have about 1000 files with a file size of 40 MB each. Whenever I try to import it, I can see with for example MySQL workbench that it is inserting in a rate of about 30 - 60 rows per second. It will take ages before al my files are processed. How can I speed this up? I have already modified the mysql.cnf file to the following config, which unfortunately does not speed it up:
/etc/mysql/conf.d/mysql.cnf
[mysqld]
innodb_buffer_pool_size=12G
innodb_io_capacity = 2000
innodb_read_io_threads = 48
innodb_thread_concurrency = 0
innodb_write_io_threads = 48
innodb_buffer_pool_size=12G
innodb_log_file_size = 512M
max_connections = 1000
max_allowed_packet = 128M
#key_buffer = 1000M
bulk_insert_buffer_size = 1024M
innodb_doublewrite = 0
innodb_flush_log_at_trx_commit = 2
key_buffer_size = 4000M
It does say that 12G is configured in InnoDB according to PHPMyAdmin, so I can safely confirm that the config at least works.
Specs in case needed:
OS: Ubuntu 18.04
CPU: 6 cores, 12 threads @ 4.5 GHz
RAM: 32 GB DDR4 @ 3.2 GHz
SSD: 1 TB NVME @ 3.5 GB/s Read & 3.3 GB/s Write
18.04 mysql phpmyadmin mysql-workbench csv
18.04 mysql phpmyadmin mysql-workbench csv
asked 10 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
Mark DMark D
1314
asked 10 hours ago
Mark DMark D
1314
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Check out our Code of Conduct.
How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago
add a comment |
How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago
How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago
add a comment |
2 Answers
2
active
oldest
votes
You should have a look at the LOAD DATA function of MySQL, or the mysqlimport tool.
Those two functions are reportedly 20-30 times faster than insert'ing one by one, which would bring you up to at least 500-1000 rows a second.
As you don't provide any information about your data format, it's hard to give a detailed use instruction for mysqlimport, which seems to be the most applicable tool in your situation.
answered 9 hours ago
vidarlovidarlo
10.9k52750
add a comment |
It turned out that the file encoding was different between each file. Some files had UTF-8 encoding, some had ISO 8859-1 (Latin1) encoding, which caused a lot of programs to take ages to import due to (I think) converting it into another encoding. A 40 MB file now only takes about 6 seconds to import instead of 48 minutes.. Thanks @vidarlo for the suggestion of mysqlimport, which is certainly an improvement, but overall the time improvement is good enough for me!
answered 8 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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2 Answers
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2 Answers
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You should have a look at the LOAD DATA function of MySQL, or the mysqlimport tool.
Those two functions are reportedly 20-30 times faster than insert'ing one by one, which would bring you up to at least 500-1000 rows a second.
As you don't provide any information about your data format, it's hard to give a detailed use instruction for mysqlimport, which seems to be the most applicable tool in your situation.
answered 9 hours ago
vidarlovidarlo
10.9k52750
add a comment |
You should have a look at the LOAD DATA function of MySQL, or the mysqlimport tool.
Those two functions are reportedly 20-30 times faster than insert'ing one by one, which would bring you up to at least 500-1000 rows a second.
As you don't provide any information about your data format, it's hard to give a detailed use instruction for mysqlimport, which seems to be the most applicable tool in your situation.
answered 9 hours ago
vidarlovidarlo
10.9k52750
add a comment |
You should have a look at the LOAD DATA function of MySQL, or the mysqlimport tool.
Those two functions are reportedly 20-30 times faster than insert'ing one by one, which would bring you up to at least 500-1000 rows a second.
As you don't provide any information about your data format, it's hard to give a detailed use instruction for mysqlimport, which seems to be the most applicable tool in your situation.
answered 9 hours ago
vidarlovidarlo
10.9k52750
You should have a look at the LOAD DATA function of MySQL, or the mysqlimport tool.
Those two functions are reportedly 20-30 times faster than insert'ing one by one, which would bring you up to at least 500-1000 rows a second.
As you don't provide any information about your data format, it's hard to give a detailed use instruction for mysqlimport, which seems to be the most applicable tool in your situation.
answered 9 hours ago
vidarlovidarlo
10.9k52750
answered 9 hours ago
vidarlovidarlo
10.9k52750
answered 9 hours ago
vidarlovidarlo
10.9k52750
answered 9 hours ago
vidarlovidarlo
10.9k52750
10.9k52750
add a comment |
add a comment |
It turned out that the file encoding was different between each file. Some files had UTF-8 encoding, some had ISO 8859-1 (Latin1) encoding, which caused a lot of programs to take ages to import due to (I think) converting it into another encoding. A 40 MB file now only takes about 6 seconds to import instead of 48 minutes.. Thanks @vidarlo for the suggestion of mysqlimport, which is certainly an improvement, but overall the time improvement is good enough for me!
answered 8 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
It turned out that the file encoding was different between each file. Some files had UTF-8 encoding, some had ISO 8859-1 (Latin1) encoding, which caused a lot of programs to take ages to import due to (I think) converting it into another encoding. A 40 MB file now only takes about 6 seconds to import instead of 48 minutes.. Thanks @vidarlo for the suggestion of mysqlimport, which is certainly an improvement, but overall the time improvement is good enough for me!
answered 8 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
It turned out that the file encoding was different between each file. Some files had UTF-8 encoding, some had ISO 8859-1 (Latin1) encoding, which caused a lot of programs to take ages to import due to (I think) converting it into another encoding. A 40 MB file now only takes about 6 seconds to import instead of 48 minutes.. Thanks @vidarlo for the suggestion of mysqlimport, which is certainly an improvement, but overall the time improvement is good enough for me!
answered 8 hours ago
Mark DMark D
1314
New contributor
Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
It turned out that the file encoding was different between each file. Some files had UTF-8 encoding, some had ISO 8859-1 (Latin1) encoding, which caused a lot of programs to take ages to import due to (I think) converting it into another encoding. A 40 MB file now only takes about 6 seconds to import instead of 48 minutes.. Thanks @vidarlo for the suggestion of mysqlimport, which is certainly an improvement, but overall the time improvement is good enough for me!
answered 8 hours ago
Mark DMark D
1314
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Mark D is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 8 hours ago
Mark DMark D
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answered 8 hours ago
Mark DMark D
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answered 8 hours ago
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How do you do the inserts? One by one? Does the table have any indexes?
– vidarlo
9 hours ago
The inserts go one by one (Using Jetbrains Datagrip for it as phpmyadmin is very slow), and the table does not have any index to my knowledge
– Mark D
9 hours ago