MySQLdump and upload process taking too long time (~8 hr) to complete the whole process.
I am dumping active database into mysqldump.tar file and almost 3gb. When I load into new database its taking 6-8 hr to complete the process (upload into new database).
What will be the recommended solution for me to complete the process?
If I understand correctly, your main problem is that loading the data into your new database is the step that's taking a lot of time. Besides reading the link provided by asdf in his comment ("How can I optimize a mysqldump of a large database?"), I suggest you some things:
Use the --disable-keys option; this will add alter table your_table DISABLE KEYS before the inserts, and alter table your_table ENABLE KEYS after the inserts are done. When I've used this option, the insertion time is about 30% faster
If possible, use the --delayed-insert option; whis will use INSERT DELAYED insted of the "normal" INSERT.
If possible, dump the data of different tables into different files; that way you may upload them concurrently.
Check the reference manual for further information.
Related
What's the best way to copy a large MySQL table in terms of speed and memory use?
Option 1. Using PHP, select X rows from old table and insert them into the new table. Proceed to next iteration of select/insert until all entries are copied over.
Option 2. Use MySQL INSERT INTO ... SELECT without row limits.
Option 3. Use MySQL INSERT INTO ... SELECT with a limited number of rows copied over per run.
EDIT: I am not going to use mysqldump. The purpose of my question is to find the best way to write a database conversion program. Some tables have changed, some have not. I need to automate the entire copy over / conversion procedure without worrying about manually dumping any tables. So it would be helpful if you could answer which of the above options is best.
There is a program that was written specifically for this task called mysqldump.
mysqldump is a great tool in terms of simplicity and careful handling of all types of data, but it is not as fast as load data infile
If you're copying on the same database, I like this version of Option 2:
a) CREATE TABLE foo_new LIKE foo;
b) INSERT INTO foo_new SELECT * FROM foo;
I've got lots of tables with hundreds of millions of rows (like 1/2B) AND InnoDB AND several keys AND constraints. They take many many hours to read from a MySQL dump, but only an hour or so by load data infile. It is correct that copying the raw files with the DB offline is even faster. It is also correct that non-ASCII characters, binary data, and NULLs need to be handled carefully in CSV (or tab-delimited files), but fortunately, I've pretty much got numbers and text :-). I might take the time to see how long the above steps a) and b) take, but I think they are slower than the load data infile... which is probably because of transactions.
Off the three options listed above.
I would select the second option if you have a Unique constraint on at least one column, therefore not creating duplicate rows if the script has to be run multiple times to achieve its task in the event of server timeouts.
Otherwise your third option would be the way to go, while manually taking into account any server timeouts to determine your insert select limits.
Use a stored procedure
Option two must be fastest, but it's gonna be a mighty long transaction. You should look into making a stored procedure doing the copy. That way you could offload some of the data parsing/handling from the MySQL engine.
MySQL's load data query is faster than almost anything else, however it requires exporting each table to a CSV file.
Pay particular attention to escape characters and representing NULL values/binary data/etc in the CSV to avoid data loss.
If possible, the fastest way will be to take the database offline and simply copy data files on disk.
Of course, this have some requirements:
you can stop the database while copying.
you are using a storage engine that stores each table in individual files, MyISAM does this.
you have privileged access to the database server (root login or similar)
Ah, I see you have edited your post, then I think this DBA-from-hell approach is not an option... but still, it's fast!
The best way i find so far is creating the files as dump files(.txt), by using the outfile to a text then using infile in mysql to get the same data to the database
I use select * into outfile option in mysql to backup the data into text files in tab separated format. i call this statement against each table.
And I use load data infile to import data into mysql for each table.
I have not yet done any lock or disable keys while i perform this operation
Now I face some issues:
While it is taking backup the other, updates and selects are getting slow.
It takes too much time to import data for huge tables.
How can I improve the method to solve the above issues?
Is mysqldump an option? I see that it uses insert statements, so before I try it, I wanted to request advice.
Does using locks and disable keys before each "load data" improve speed in import?
If you have a lot of databases/tables, it will definitely be much easier for you to use mysqldump, since you only need to run it once per database (or even once for all databases, if you do a full backup of your system). Also, it has the advantage that it also backs up your table structure (something you cannot do using only select *).
The speed is probably similar, but it would be best to test both and see which one works best in your case.
Someone here tested the options, and mysqldump proved to be faster in his case. But again, YMMV.
If you're concerned about speed, also take a look at the mysqldump/mysqlimport combination. As mentioned here, it is faster than mysqldump alone.
As for locks and disable keys, I am not sure, so I will let someone else answer that part :)
Using mysqldump is important if you want your data backup to be consistent. That is, the data dumped from all tables represents the same instant in time.
If you dump tables one by one, they are not in sync, so you could have data for one table that references rows in another table that aren't included in the second table's backup. When you restore, it won't be pretty.
For performance, I'm using:
mysqldump --single-transaction --tab mydatabase
This dumps for each table, one .sql file for table definition, and one .txt file for data.
Then when I import, I run the .sql files to define tables:
mysqladmin create mydatabase
cat *.sql | mysql mydatabase
Then I import all the data files:
mysqlimport --local --use-threads=4 mydatabase *.txt
In general, running mysqlimport is faster than running the insert statements output by default by mysqldump. And running mysqlimport with multiple threads should be faster too, as long as you have the CPU resources to spare.
Using locks when you restore does not help performance.
The disable keys is intended to defer index creation until after the data is fully loaded and keys are re-enabled, but this helps only for non-unique indexes in MyISAM tables. But you shouldn't use MyISAM tables.
For more information, read:
https://dev.mysql.com/doc/refman/5.7/en/mysqldump.html
https://dev.mysql.com/doc/refman/5.7/en/mysqlimport.html
In my production database Alerts related tables are created with default CharSet of "latin", due to this we are getting error when we try
to insert Japanese characters in the table. We need to change the table and columns default charset to UTF8.
As these tables are having huge data, Alter command might take so much time (it took 5hrs in my local DB with same amount of data)
and lock the table which will cause data loss. Can we plan a mechanism to change the Charset to UTF8, without data loss.
which is the better way to change the charset for huge data tables?
I found this on mysql manual http://dev.mysql.com/doc/refman/5.1/en/alter-table.html:
In most cases, ALTER TABLE makes a temporary copy of the original
table. MySQL waits for other operations that are modifying the table,
then proceeds. It incorporates the alteration into the copy, deletes
the original table, and renames the new one. While ALTER TABLE is
executing, the original table is readable by other sessions. Updates
and writes to the table that begin after the ALTER TABLE operation
begins are stalled until the new table is ready, then are
automatically redirected to the new table without any failed updates
So yes -- it's tricky to minimize downtime while doing this. It depends on the usage profile of your table, are there more reads/writes?
One approach I can think of is to use some sort of replication. So create a new Alert table that uses UTF-8, and find a way to replicate original table to the new one without affecting availability / throughput. When the replication is complete (or close enough), switch the table by renaming it ?
Ofcourse this is easier said than done -- need more learning if it's even possible.
You may take a look into Percona Toolkit::online-chema-change tool:
pt-online-schema-change
It does exactly this - "alters a table’s structure without blocking reads or writes" - with some
limitations(only InnoDB tables etc) and risks involved.
Create a replicated copy of your database on an other machine or instance, when you setup the replication issue stop slave command and alter the table. If you have more than one table, between each conversation you may consider issuing again start slave to synchronise two databases. (If you do not this it may take longer to synchronise) When you complete the conversion the replicated copy can replace your old production database and you remove the old one. This is the way i found out to minimize downtime.
I'm trying to convert a 10million rows MySQL MyISAM table into InnoDB.
I tried ALTER TABLE but that made my server get stuck so I killed the mysql manually. What is the recommended way to do so?
Options I've thought about:
1. Making a new table which is InnoDB and inserting parts of the data each time.
2. Dumping the table into a text file and then doing LOAD FILE
3. Trying again and just keep the server non-responsive till he finishes (I tried for 2hours and the server is a production server so I prefer to keep it running)
4. Duplicating the table, Removing its indexes, then converting, and then adding indexes
Changing the engine of the table requires rewrite of the table, and that's why the table is not available for so long. Removing indexes, then converting, and adding indexes, may speed up the initial convert, but adding index creates a read lock on your table, so the effect in the end will be the same. Making new table and transferring the data is the way to go. Usually this is done in 2 parts - first copy records, then replay any changes that were done while copying the records. If you can afford disabling inserts/updates in the table, while leaving the reads, this is not a problem. If not, there are several possible solutions. One of them is to use facebook's online schema change tool. Another option is to set the application to write in both tables, while migrating the records, than switch only to the new record. This depends on the application code and crucial part is handling unique keys / duplicates, as in the old table you may update record, while in the new you need to insert it. (here transaction isolation level may also play crucial role, lower it as much as you can). "Classic" way is to use replication, which, as far as I know is also done in 2 parts - you start replication, recording the master position, then import dump of the database in the second server, then start it as a slave to catch up with changes.
Have you tried to order your data first by the PK ? e.g:
ALTER TABLE tablename ORDER BY PK_column;
should speed up the conversion.
I want to get mysqldump after certain checkpoint e.g. if i take the mysqldump now then next time when i will take the dump it should give me only the commands which executed between this time interval. is there anyway to get this using mysqldump.
One more thing how to show the commands delete, update in the mysqldump files.
Thanks
I dont think this is possible from a MySQLdump, however that feature exists as part of MySQL core - its called Binlogging or binary logging.
The binary log contains “events” that describe database changes such as table creation operations or changes to table data. It also contains events for statements that potentially could have made changes (for example, a DELETE which matched no rows). The binary log also contains information about how long each statement took that updated data
Check this out http://dev.mysql.com/doc/refman/5.0/en/binary-log.html
Word of warning, binlogs can slow down the performance of your server.