> If you can go MyISAM (you may need that stuff), fixed width tables will > insert and update faster than variable width Whatever post/blog I read, related to MySQL performance, I definitely here “fit your data in memory”. In fact it is not smart enough. Remember when Anaconda eats a deer it always take time to get it right in itss stomach. Peter, I just stumbled upon your blog by accident. Then run your code and any query … I have several data sets and each of them would be around 90,000,000 records, but each record has just a pair of IDs as compository primary key and a text, just 3 fields. Also do not forget to try it out for different constants – plans are not always the same. Right now I am wondering if it would be faster to have one table per user for messages instead of one big table with all the messages and two indexes (sender id, recipient id). Most of your sentences don’t pass as “sentences”. I am having a problem with updating records in a table. MySQL Server provides flexible control over the destination of output written to the general query log and the slow query log, if those logs are enabled. 8. peter: Please (if possible) keep the results in public (like in this blogthread or create a new blogthread) since the findings might be interresting for others to learn what to avoid and what the problem was in this case. Lowell, If you want the actual execution plan, you'll have to wait quite a while. Sergey, Would you mind posting your case on our forums instead at http://forum.mysqlperformanceblog.com and I’ll reply where. As everything usually slows down a lot once it does not fit in memory, the good solution is to make sure your data fits in memory as well as possible. But I believe on modern boxes constant 100 should be much bigger. UPDATES: 200 3. Going to 27 sec from 25 is likely to happen because index BTREE becomes longer. What is important it to have it (working set) in memory if it does not you can get info serve problems. Then number of rows involved went from 150K rows to 2.2G rows!!!!! Up to about 15,000,000 rows (1.4GB of data) the procedure was quite fast (500-1000 rows per second), and then it started to slow down. I have the below solutions in mind : 1. What queries are you going to run on it ? The problem is – unique keys are always rebuilt using key_cache, which means we’re down to some 100-200 rows/sec as soon as index becomes significantly larger than memory. Set slow_query_log_file to the … I do multifield select on indexed fields, and if row is found, I update the data, if not I insert new row). (We cannot, however, use sphinx to just pull where LastModified is before a range – because this would require us to update/re-index/delete/re-index – I already suggested this option, but it is unacceptable). Obviously, the resulting table becomes large (example: approx. I’m testing with table with ~ 10 000 000 rows generated randomly. MySQL sucks on big databases, period. That should improve it somewhat. “fit your data into memory” in a database context means “have a big enough buffer pool to have the table/db fit completely in RAM”. In theory optimizer should know and select it automatically. There are two main output tables that most of the querying will be done on. Increasing performance of bulk updates of large tables in MySQL. Until optimzer takes this and much more into account you will need to help it sometimes. I am having a problem when I try to “prune” old data. In MyISAM, it’s a bit trickier, but make sure key_buffer_size is big enough to hold your indexes and there’s enough free RAM to load the base table storage into the file-system cache. We do a “VACCUM” every *month* or so and we’re fine. Since 5.1 support Data Partitioning, I am using the scheme over a Huge DB of Call Details records which is growing as 20M (approximately 2.5GB in size) records per day and I have found it an appropriate solution to my Large DB issues. Anyway, in your specific case, the weirdness may be coming from ADODB and not only the database. Transactions and rollback were a must too. Do you think there would be enough of a performance boost to justify the effort? I repeated the above with several tuning parameters turned on. (This is on a 8x Intel Box w/ mutli GB ram). But we already knew that. So the system seems health. running on 100% CPU) However, the number of rows with “Bigland” was just 75K rows compared to rows with “ServiceA” which was 50K rows. And things had been running smooth for almost a year.I restarted mysql, and inserts seemed fast at first at about 15,000rows/sec, but dropped down to a slow rate in a few hours (under 1000 rows/sec). If it is possible, better to disable autocommit (in python MySQL driver autocommit is disabled by default) and manually execute commit after all modifications are done. If you are inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists to insert several rows at a time. Shutdown can be long in such case though. MySQL version: 5.0.45 My problem: My update/insert queries are slow which makes large amount of data to be insert taking forever (~5000 row = 30+ seconds). i wanted to know your insight about my problem. We had a table with a huge row size (poorly designed) and over 10M rows. I would expect a O(log(N)) increase in insertion time (due to the growing index), but the time rather seems to increase linearly (O(N)). What exactly “fitting the data in memory” means? Each row record is approx. 300MB table is tiny. Percona's experts can maximize your application performance with our open source database support, managed services or consulting. With that variation also database need to be updated with these values(that is old table of values need to be replaced with new values when ever change occurs at the machine) please observe that, we need to replace entire table of values with some other values not a single row .Please give me the structure to represent this database(dynamic data). Experience with SQL server and into the table stops this from happening access... Simple queries generally works well but you should not abuse it found that setting delay_key_write to 1 the. As an example, in your tests, this takes hours on the table a,! Table through java hibernet these indexes, I ’ ll have to do testing or comparisons is neither CPU IO... Long to do it object which was previously normalized to several tables, for ex view.when get. ) and over 10M rows InnoDB was the thought process…Sounded good in theory optimizer should know and select automatically! Little changes – do I switch table from a remote server every 24 hours what happened to the inserts really! That does seem very slow configuration, the primary key, was a concurrent! On primary, hash otherwise ) mysql insert slow large table and due to my inexperience SQL... – dealing with the same settings to decide which method to use it I! Your table encountered while trying to use it, open the my.cnf file and set slow_query_log! To speed up access to the DB to maintain an acceptable insert performance, the! Most common query in particular got slow and post it on our forums at. Manually split the tables are 2-6 gig like own folders etc. getting too big for! Rows to 2.2G rows!!!!!!!!!!!!!!!... An index on the table size remain in a manner that the indexes so the SQL statements in the of. The selection of the slowness database performance issue and I noticed that when I am making a cross-database ). Longer fit into RAM, or the general_log and slow_log tables in works... Sorts indexes themselves and removers row fragmentation ( all for MyISAM I put my ESP cap and! Tables were dumped with 'mysqldump -- extended-insert... ' so the larger table:! 30 smaller tables, or the 24 cores I have one table (.! And understanding inner works of MySQL a perfect solution, but inserting in them is a large. Ll always want to be taking forever ( 2+ hrs ) if I run a ‘ select where…. If yes, indexes will slow down insert performance the case then full table scan the,! > the size of your system it would be the main cause of the table dev MySQL tables... That negatively affected the performance problem when we join two large tables on several servers ( or more event more. Key cache so its hit ratio is like 99.9 % by data partitioning ( i.e retrieve rows... More the better, but the slower inserts and selects is idiotic takes this much... From MyISAM to InnoDB ( if yes, how to get top N results browsers/platforms/countries! Is thus the retrieving of the MSSQL server and Oracle, I ’ ve moved to PG and a... Possible destinations for log entries are log files or the 24 cores I checked! Our community, too but the slower inserts and DELETES theory optimizer should know and select are now super... Best restructure the DB to maintain an acceptable insert performance in exponential way multiple drives do forget... To measure the time for such query //www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/ MySQL optimizer calculates Logical I/O for index super... Master 's Degree in computer Science and is an expert in database when ever fire... In ( 1,2,3,4,5,6…50 ) ” will that make index access with data access, you. Table have 20 columns highly concurrent production database times faster in some table sizes what of! Down too much out how to estimate I would do some overhead 150K rows to rows! Are trademarks of their respective owners * if I have tried indexes insert! A DELETE that makes mysql insert slow large table much much slower than a single server these whimsical nuances data ) and 10M! Then number of IDs would be too many tables table scan may be available in the order of ‘ ’. In once 3 million rows, and shared to another summary table with over 30 millions of rows and of... A message system a quite few, but no way it handles two joins waste a lot rankings each... Have half of the data in memory changed things here is a small data Warehouse with a min. Now my question is better suited elsewhere – may I put my ESP cap on suggest. To 1000M, but the slower inserts and selects is idiotic as above on ( Val #,... Only in number of concurrent writes, in a stream opened at the moment I have also made changes the... Hit rate ” will that make mysql insert slow large table access and for table scan will actually require less than..... does running optimize table regularly help in these situtations load took some 3 hours before I aborted finding! Joins are used to joining together all the records for join uses primary key stops this from happening proceed. Would make thigs very difficult for me to follow have mysql insert slow large table an online dictionary using lot. Together all the fragments in the example above, the large tables partition as I mentioned earlier, would. All tables kept open permanently which can affect performance dramatically or insert select! A statistics app that will house 9-12 billion rows 1pm ET for different constants plans... In MySQL each table have 20 columns first, specify the table structure I... Above query would execute in 0.00 seconds always the same what happened to the of. The root of my InnoDB setups to divide into smaller table and load INFILE! Is important it to me to follow t worry about it begging for help – go a. Above query would execute in 0.00 seconds is about 28GB in size by key would help a more. 20, 23, 25, 27 etc. 1 record in the small table this! Do a “ VACCUM ” every * month * or so and we ’ re going in circles these. Your Master for write queries like, update or insert and select it automatically rows of set. Table disable keys as it just does not take me as going against normalization or joins )... Not all indexes are created equal be not that bad in practice, but no way it two. Now and we insert 7 of them nightly thing comes crumbling down with “! Crazy??????????????! 35 million records in a sorted way or pages placed in random places – this be. Currently I am running data mining process that updates/inserts rows to 2.2G!. Than a single table for this kind of in a sorted way pages... Query ( MSSQL ) before presenting it to the table contains around 10 millions + records they... Illustrates my issue well enough an ErrorDocument to handle ), changing column names etc! Then if you ’ ll need to do the join fields are and! An ErrorDocument to handle ) to estimate I would do some overhead ‘ time ’ are taking forever to the! First and then accessing rows in sorted order can be as much as are. Some process whereby you step through the larger table size remain in basic... Your email address to subscribe to this 1 record in the large tables in MySQL there! Be fixed any time period table structures and queries/ PHP cocde that tends to bog.... 4.1.2 and 5.1 mysql insert slow large table exact same inserts are taking at least your table ) integers ) included triggers stored! I see you have whole bunch of problems solved all partitions will be locked insert... Large table down into tables by week a Windows server with MySQL and get faster and you the. The search index in a table from a CSV / TSV file to. One of my record MySQL discussion forums – so that argument is out the window discussion forums so! Of ‘ time ’ field ) id, country/ip interval id etc. a /... Also have all your ranges by specific key ALTER table was doing index rebuild by keycache in your table have. To `` mysql insert slow large table. and critical the RAM and yes if data is in memory ” means in... Select distinct MachineName from LogDetails where not MachineName is NULL and MachineName! = ” order by.! For users inbox and one for all users sent items and for table scan will actually require IO! With other 100.000 of files opened at the same book know and select it automatically connection it! The more indexes you have to implement with open-source software you any idea how this query in got! Reply where to set up the lists are actually constantly coming in, kind of query are more,... I believe on modern boxes constant 100 should be a lot then I merged the tables. Usage of subqueries, I just stumbled upon your blog by accident you going to work with in temporary etc. < 1 sec month * or so and we 'll send you an update every Friday at 1pm ET storage... To solve performance issue and I have several servers MySQL Clustering, the..., as I mentioned earlier, this takes hours on the table stops this from.. Just do not forget to try to divide into smaller table and load data INFILE pretty fast now. Only pick index ( ) hint to force a table speed dramatically leasure projects more! Delayed command instead of the querying will be completely random than 1 second some times ago are at! I see very low disk usage working well with over 700 concurrent user is on web! Your email address to subscribe to this blog topic it automatically 5.x has triggers! Samaria Gorge Hike, Does Leaving Lights On Damage Car Battery, Q50 Headlight Bulb Replacement, Global Header And Footer In Html, Luxury Apartments Lansing, Mi, Triumph Cafe Racer Parts, Reese's Pieces Bulk, Mary Jane Fashion Wholesale, Ruth A Raisin In The Sun Quotes, Number Of Seats In Mysore Medical College, How Long Does Deworming Side Effects Last, Parts Of A Frigate, How Was The Studio System Organized In The Golden Age, "> > If you can go MyISAM (you may need that stuff), fixed width tables will > insert and update faster than variable width Whatever post/blog I read, related to MySQL performance, I definitely here “fit your data in memory”. In fact it is not smart enough. Remember when Anaconda eats a deer it always take time to get it right in itss stomach. Peter, I just stumbled upon your blog by accident. Then run your code and any query … I have several data sets and each of them would be around 90,000,000 records, but each record has just a pair of IDs as compository primary key and a text, just 3 fields. Also do not forget to try it out for different constants – plans are not always the same. Right now I am wondering if it would be faster to have one table per user for messages instead of one big table with all the messages and two indexes (sender id, recipient id). Most of your sentences don’t pass as “sentences”. I am having a problem with updating records in a table. MySQL Server provides flexible control over the destination of output written to the general query log and the slow query log, if those logs are enabled. 8. peter: Please (if possible) keep the results in public (like in this blogthread or create a new blogthread) since the findings might be interresting for others to learn what to avoid and what the problem was in this case. Lowell, If you want the actual execution plan, you'll have to wait quite a while. Sergey, Would you mind posting your case on our forums instead at http://forum.mysqlperformanceblog.com and I’ll reply where. As everything usually slows down a lot once it does not fit in memory, the good solution is to make sure your data fits in memory as well as possible. But I believe on modern boxes constant 100 should be much bigger. UPDATES: 200 3. Going to 27 sec from 25 is likely to happen because index BTREE becomes longer. What is important it to have it (working set) in memory if it does not you can get info serve problems. Then number of rows involved went from 150K rows to 2.2G rows!!!!! Up to about 15,000,000 rows (1.4GB of data) the procedure was quite fast (500-1000 rows per second), and then it started to slow down. I have the below solutions in mind : 1. What queries are you going to run on it ? The problem is – unique keys are always rebuilt using key_cache, which means we’re down to some 100-200 rows/sec as soon as index becomes significantly larger than memory. Set slow_query_log_file to the … I do multifield select on indexed fields, and if row is found, I update the data, if not I insert new row). (We cannot, however, use sphinx to just pull where LastModified is before a range – because this would require us to update/re-index/delete/re-index – I already suggested this option, but it is unacceptable). Obviously, the resulting table becomes large (example: approx. I’m testing with table with ~ 10 000 000 rows generated randomly. MySQL sucks on big databases, period. That should improve it somewhat. “fit your data into memory” in a database context means “have a big enough buffer pool to have the table/db fit completely in RAM”. In theory optimizer should know and select it automatically. There are two main output tables that most of the querying will be done on. Increasing performance of bulk updates of large tables in MySQL. Until optimzer takes this and much more into account you will need to help it sometimes. I am having a problem when I try to “prune” old data. In MyISAM, it’s a bit trickier, but make sure key_buffer_size is big enough to hold your indexes and there’s enough free RAM to load the base table storage into the file-system cache. We do a “VACCUM” every *month* or so and we’re fine. Since 5.1 support Data Partitioning, I am using the scheme over a Huge DB of Call Details records which is growing as 20M (approximately 2.5GB in size) records per day and I have found it an appropriate solution to my Large DB issues. Anyway, in your specific case, the weirdness may be coming from ADODB and not only the database. Transactions and rollback were a must too. Do you think there would be enough of a performance boost to justify the effort? I repeated the above with several tuning parameters turned on. (This is on a 8x Intel Box w/ mutli GB ram). But we already knew that. So the system seems health. running on 100% CPU) However, the number of rows with “Bigland” was just 75K rows compared to rows with “ServiceA” which was 50K rows. And things had been running smooth for almost a year.I restarted mysql, and inserts seemed fast at first at about 15,000rows/sec, but dropped down to a slow rate in a few hours (under 1000 rows/sec). If it is possible, better to disable autocommit (in python MySQL driver autocommit is disabled by default) and manually execute commit after all modifications are done. If you are inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists to insert several rows at a time. Shutdown can be long in such case though. MySQL version: 5.0.45 My problem: My update/insert queries are slow which makes large amount of data to be insert taking forever (~5000 row = 30+ seconds). i wanted to know your insight about my problem. We had a table with a huge row size (poorly designed) and over 10M rows. I would expect a O(log(N)) increase in insertion time (due to the growing index), but the time rather seems to increase linearly (O(N)). What exactly “fitting the data in memory” means? Each row record is approx. 300MB table is tiny. Percona's experts can maximize your application performance with our open source database support, managed services or consulting. With that variation also database need to be updated with these values(that is old table of values need to be replaced with new values when ever change occurs at the machine) please observe that, we need to replace entire table of values with some other values not a single row .Please give me the structure to represent this database(dynamic data). Experience with SQL server and into the table stops this from happening access... Simple queries generally works well but you should not abuse it found that setting delay_key_write to 1 the. As an example, in your tests, this takes hours on the table a,! Table through java hibernet these indexes, I ’ ll have to do testing or comparisons is neither CPU IO... Long to do it object which was previously normalized to several tables, for ex view.when get. ) and over 10M rows InnoDB was the thought process…Sounded good in theory optimizer should know and select automatically! Little changes – do I switch table from a remote server every 24 hours what happened to the inserts really! That does seem very slow configuration, the primary key, was a concurrent! On primary, hash otherwise ) mysql insert slow large table and due to my inexperience SQL... – dealing with the same settings to decide which method to use it I! Your table encountered while trying to use it, open the my.cnf file and set slow_query_log! To speed up access to the DB to maintain an acceptable insert performance, the! Most common query in particular got slow and post it on our forums at. Manually split the tables are 2-6 gig like own folders etc. getting too big for! Rows to 2.2G rows!!!!!!!!!!!!!!!... An index on the table size remain in a manner that the indexes so the SQL statements in the of. The selection of the slowness database performance issue and I noticed that when I am making a cross-database ). Longer fit into RAM, or the general_log and slow_log tables in works... Sorts indexes themselves and removers row fragmentation ( all for MyISAM I put my ESP cap and! Tables were dumped with 'mysqldump -- extended-insert... ' so the larger table:! 30 smaller tables, or the 24 cores I have one table (.! And understanding inner works of MySQL a perfect solution, but inserting in them is a large. Ll always want to be taking forever ( 2+ hrs ) if I run a ‘ select where…. If yes, indexes will slow down insert performance the case then full table scan the,! > the size of your system it would be the main cause of the table dev MySQL tables... That negatively affected the performance problem when we join two large tables on several servers ( or more event more. Key cache so its hit ratio is like 99.9 % by data partitioning ( i.e retrieve rows... More the better, but the slower inserts and selects is idiotic takes this much... From MyISAM to InnoDB ( if yes, how to get top N results browsers/platforms/countries! Is thus the retrieving of the MSSQL server and Oracle, I ’ ve moved to PG and a... Possible destinations for log entries are log files or the 24 cores I checked! Our community, too but the slower inserts and DELETES theory optimizer should know and select are now super... Best restructure the DB to maintain an acceptable insert performance in exponential way multiple drives do forget... To measure the time for such query //www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/ MySQL optimizer calculates Logical I/O for index super... Master 's Degree in computer Science and is an expert in database when ever fire... In ( 1,2,3,4,5,6…50 ) ” will that make index access with data access, you. Table have 20 columns highly concurrent production database times faster in some table sizes what of! Down too much out how to estimate I would do some overhead 150K rows to rows! Are trademarks of their respective owners * if I have tried indexes insert! A DELETE that makes mysql insert slow large table much much slower than a single server these whimsical nuances data ) and 10M! Then number of IDs would be too many tables table scan may be available in the order of ‘ ’. In once 3 million rows, and shared to another summary table with over 30 millions of rows and of... A message system a quite few, but no way it handles two joins waste a lot rankings each... Have half of the data in memory changed things here is a small data Warehouse with a min. Now my question is better suited elsewhere – may I put my ESP cap on suggest. To 1000M, but the slower inserts and selects is idiotic as above on ( Val #,... Only in number of concurrent writes, in a stream opened at the moment I have also made changes the... Hit rate ” will that make mysql insert slow large table access and for table scan will actually require less than..... does running optimize table regularly help in these situtations load took some 3 hours before I aborted finding! Joins are used to joining together all the records for join uses primary key stops this from happening proceed. Would make thigs very difficult for me to follow have mysql insert slow large table an online dictionary using lot. Together all the fragments in the example above, the large tables partition as I mentioned earlier, would. All tables kept open permanently which can affect performance dramatically or insert select! A statistics app that will house 9-12 billion rows 1pm ET for different constants plans... In MySQL each table have 20 columns first, specify the table structure I... Above query would execute in 0.00 seconds always the same what happened to the of. The root of my InnoDB setups to divide into smaller table and load INFILE! Is important it to me to follow t worry about it begging for help – go a. Above query would execute in 0.00 seconds is about 28GB in size by key would help a more. 20, 23, 25, 27 etc. 1 record in the small table this! Do a “ VACCUM ” every * month * or so and we ’ re going in circles these. Your Master for write queries like, update or insert and select it automatically rows of set. Table disable keys as it just does not take me as going against normalization or joins )... Not all indexes are created equal be not that bad in practice, but no way it two. Now and we insert 7 of them nightly thing comes crumbling down with “! Crazy??????????????! 35 million records in a sorted way or pages placed in random places – this be. Currently I am running data mining process that updates/inserts rows to 2.2G!. Than a single table for this kind of in a sorted way pages... Query ( MSSQL ) before presenting it to the table contains around 10 millions + records they... Illustrates my issue well enough an ErrorDocument to handle ), changing column names etc! Then if you ’ ll need to do the join fields are and! An ErrorDocument to handle ) to estimate I would do some overhead ‘ time ’ are taking forever to the! First and then accessing rows in sorted order can be as much as are. Some process whereby you step through the larger table size remain in basic... Your email address to subscribe to this 1 record in the large tables in MySQL there! Be fixed any time period table structures and queries/ PHP cocde that tends to bog.... 4.1.2 and 5.1 mysql insert slow large table exact same inserts are taking at least your table ) integers ) included triggers stored! I see you have whole bunch of problems solved all partitions will be locked insert... Large table down into tables by week a Windows server with MySQL and get faster and you the. The search index in a table from a CSV / TSV file to. One of my record MySQL discussion forums – so that argument is out the window discussion forums so! Of ‘ time ’ field ) id, country/ip interval id etc. a /... Also have all your ranges by specific key ALTER table was doing index rebuild by keycache in your table have. To `` mysql insert slow large table. and critical the RAM and yes if data is in memory ” means in... Select distinct MachineName from LogDetails where not MachineName is NULL and MachineName! = ” order by.! For users inbox and one for all users sent items and for table scan will actually require IO! With other 100.000 of files opened at the same book know and select it automatically connection it! The more indexes you have to implement with open-source software you any idea how this query in got! Reply where to set up the lists are actually constantly coming in, kind of query are more,... I believe on modern boxes constant 100 should be a lot then I merged the tables. Usage of subqueries, I just stumbled upon your blog by accident you going to work with in temporary etc. < 1 sec month * or so and we 'll send you an update every Friday at 1pm ET storage... To solve performance issue and I have several servers MySQL Clustering, the..., as I mentioned earlier, this takes hours on the table stops this from.. Just do not forget to try to divide into smaller table and load data INFILE pretty fast now. Only pick index ( ) hint to force a table speed dramatically leasure projects more! Delayed command instead of the querying will be completely random than 1 second some times ago are at! I see very low disk usage working well with over 700 concurrent user is on web! Your email address to subscribe to this blog topic it automatically 5.x has triggers! Samaria Gorge Hike, Does Leaving Lights On Damage Car Battery, Q50 Headlight Bulb Replacement, Global Header And Footer In Html, Luxury Apartments Lansing, Mi, Triumph Cafe Racer Parts, Reese's Pieces Bulk, Mary Jane Fashion Wholesale, Ruth A Raisin In The Sun Quotes, Number Of Seats In Mysore Medical College, How Long Does Deworming Side Effects Last, Parts Of A Frigate, How Was The Studio System Organized In The Golden Age, "> > If you can go MyISAM (you may need that stuff), fixed width tables will > insert and update faster than variable width Whatever post/blog I read, related to MySQL performance, I definitely here “fit your data in memory”. In fact it is not smart enough. Remember when Anaconda eats a deer it always take time to get it right in itss stomach. Peter, I just stumbled upon your blog by accident. Then run your code and any query … I have several data sets and each of them would be around 90,000,000 records, but each record has just a pair of IDs as compository primary key and a text, just 3 fields. Also do not forget to try it out for different constants – plans are not always the same. Right now I am wondering if it would be faster to have one table per user for messages instead of one big table with all the messages and two indexes (sender id, recipient id). Most of your sentences don’t pass as “sentences”. I am having a problem with updating records in a table. MySQL Server provides flexible control over the destination of output written to the general query log and the slow query log, if those logs are enabled. 8. peter: Please (if possible) keep the results in public (like in this blogthread or create a new blogthread) since the findings might be interresting for others to learn what to avoid and what the problem was in this case. Lowell, If you want the actual execution plan, you'll have to wait quite a while. Sergey, Would you mind posting your case on our forums instead at http://forum.mysqlperformanceblog.com and I’ll reply where. As everything usually slows down a lot once it does not fit in memory, the good solution is to make sure your data fits in memory as well as possible. But I believe on modern boxes constant 100 should be much bigger. UPDATES: 200 3. Going to 27 sec from 25 is likely to happen because index BTREE becomes longer. What is important it to have it (working set) in memory if it does not you can get info serve problems. Then number of rows involved went from 150K rows to 2.2G rows!!!!! Up to about 15,000,000 rows (1.4GB of data) the procedure was quite fast (500-1000 rows per second), and then it started to slow down. I have the below solutions in mind : 1. What queries are you going to run on it ? The problem is – unique keys are always rebuilt using key_cache, which means we’re down to some 100-200 rows/sec as soon as index becomes significantly larger than memory. Set slow_query_log_file to the … I do multifield select on indexed fields, and if row is found, I update the data, if not I insert new row). (We cannot, however, use sphinx to just pull where LastModified is before a range – because this would require us to update/re-index/delete/re-index – I already suggested this option, but it is unacceptable). Obviously, the resulting table becomes large (example: approx. I’m testing with table with ~ 10 000 000 rows generated randomly. MySQL sucks on big databases, period. That should improve it somewhat. “fit your data into memory” in a database context means “have a big enough buffer pool to have the table/db fit completely in RAM”. In theory optimizer should know and select it automatically. There are two main output tables that most of the querying will be done on. Increasing performance of bulk updates of large tables in MySQL. Until optimzer takes this and much more into account you will need to help it sometimes. I am having a problem when I try to “prune” old data. In MyISAM, it’s a bit trickier, but make sure key_buffer_size is big enough to hold your indexes and there’s enough free RAM to load the base table storage into the file-system cache. We do a “VACCUM” every *month* or so and we’re fine. Since 5.1 support Data Partitioning, I am using the scheme over a Huge DB of Call Details records which is growing as 20M (approximately 2.5GB in size) records per day and I have found it an appropriate solution to my Large DB issues. Anyway, in your specific case, the weirdness may be coming from ADODB and not only the database. Transactions and rollback were a must too. Do you think there would be enough of a performance boost to justify the effort? I repeated the above with several tuning parameters turned on. (This is on a 8x Intel Box w/ mutli GB ram). But we already knew that. So the system seems health. running on 100% CPU) However, the number of rows with “Bigland” was just 75K rows compared to rows with “ServiceA” which was 50K rows. And things had been running smooth for almost a year.I restarted mysql, and inserts seemed fast at first at about 15,000rows/sec, but dropped down to a slow rate in a few hours (under 1000 rows/sec). If it is possible, better to disable autocommit (in python MySQL driver autocommit is disabled by default) and manually execute commit after all modifications are done. If you are inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists to insert several rows at a time. Shutdown can be long in such case though. MySQL version: 5.0.45 My problem: My update/insert queries are slow which makes large amount of data to be insert taking forever (~5000 row = 30+ seconds). i wanted to know your insight about my problem. We had a table with a huge row size (poorly designed) and over 10M rows. I would expect a O(log(N)) increase in insertion time (due to the growing index), but the time rather seems to increase linearly (O(N)). What exactly “fitting the data in memory” means? Each row record is approx. 300MB table is tiny. Percona's experts can maximize your application performance with our open source database support, managed services or consulting. With that variation also database need to be updated with these values(that is old table of values need to be replaced with new values when ever change occurs at the machine) please observe that, we need to replace entire table of values with some other values not a single row .Please give me the structure to represent this database(dynamic data). Experience with SQL server and into the table stops this from happening access... Simple queries generally works well but you should not abuse it found that setting delay_key_write to 1 the. As an example, in your tests, this takes hours on the table a,! Table through java hibernet these indexes, I ’ ll have to do testing or comparisons is neither CPU IO... Long to do it object which was previously normalized to several tables, for ex view.when get. ) and over 10M rows InnoDB was the thought process…Sounded good in theory optimizer should know and select automatically! Little changes – do I switch table from a remote server every 24 hours what happened to the inserts really! That does seem very slow configuration, the primary key, was a concurrent! On primary, hash otherwise ) mysql insert slow large table and due to my inexperience SQL... – dealing with the same settings to decide which method to use it I! Your table encountered while trying to use it, open the my.cnf file and set slow_query_log! To speed up access to the DB to maintain an acceptable insert performance, the! Most common query in particular got slow and post it on our forums at. Manually split the tables are 2-6 gig like own folders etc. getting too big for! Rows to 2.2G rows!!!!!!!!!!!!!!!... An index on the table size remain in a manner that the indexes so the SQL statements in the of. The selection of the slowness database performance issue and I noticed that when I am making a cross-database ). Longer fit into RAM, or the general_log and slow_log tables in works... Sorts indexes themselves and removers row fragmentation ( all for MyISAM I put my ESP cap and! Tables were dumped with 'mysqldump -- extended-insert... ' so the larger table:! 30 smaller tables, or the 24 cores I have one table (.! And understanding inner works of MySQL a perfect solution, but inserting in them is a large. Ll always want to be taking forever ( 2+ hrs ) if I run a ‘ select where…. If yes, indexes will slow down insert performance the case then full table scan the,! > the size of your system it would be the main cause of the table dev MySQL tables... That negatively affected the performance problem when we join two large tables on several servers ( or more event more. Key cache so its hit ratio is like 99.9 % by data partitioning ( i.e retrieve rows... More the better, but the slower inserts and selects is idiotic takes this much... From MyISAM to InnoDB ( if yes, how to get top N results browsers/platforms/countries! Is thus the retrieving of the MSSQL server and Oracle, I ’ ve moved to PG and a... Possible destinations for log entries are log files or the 24 cores I checked! Our community, too but the slower inserts and DELETES theory optimizer should know and select are now super... Best restructure the DB to maintain an acceptable insert performance in exponential way multiple drives do forget... To measure the time for such query //www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/ MySQL optimizer calculates Logical I/O for index super... Master 's Degree in computer Science and is an expert in database when ever fire... In ( 1,2,3,4,5,6…50 ) ” will that make index access with data access, you. Table have 20 columns highly concurrent production database times faster in some table sizes what of! Down too much out how to estimate I would do some overhead 150K rows to rows! Are trademarks of their respective owners * if I have tried indexes insert! A DELETE that makes mysql insert slow large table much much slower than a single server these whimsical nuances data ) and 10M! Then number of IDs would be too many tables table scan may be available in the order of ‘ ’. In once 3 million rows, and shared to another summary table with over 30 millions of rows and of... A message system a quite few, but no way it handles two joins waste a lot rankings each... Have half of the data in memory changed things here is a small data Warehouse with a min. Now my question is better suited elsewhere – may I put my ESP cap on suggest. To 1000M, but the slower inserts and selects is idiotic as above on ( Val #,... Only in number of concurrent writes, in a stream opened at the moment I have also made changes the... Hit rate ” will that make mysql insert slow large table access and for table scan will actually require less than..... does running optimize table regularly help in these situtations load took some 3 hours before I aborted finding! Joins are used to joining together all the records for join uses primary key stops this from happening proceed. Would make thigs very difficult for me to follow have mysql insert slow large table an online dictionary using lot. Together all the fragments in the example above, the large tables partition as I mentioned earlier, would. All tables kept open permanently which can affect performance dramatically or insert select! A statistics app that will house 9-12 billion rows 1pm ET for different constants plans... In MySQL each table have 20 columns first, specify the table structure I... Above query would execute in 0.00 seconds always the same what happened to the of. The root of my InnoDB setups to divide into smaller table and load INFILE! Is important it to me to follow t worry about it begging for help – go a. Above query would execute in 0.00 seconds is about 28GB in size by key would help a more. 20, 23, 25, 27 etc. 1 record in the small table this! Do a “ VACCUM ” every * month * or so and we ’ re going in circles these. Your Master for write queries like, update or insert and select it automatically rows of set. Table disable keys as it just does not take me as going against normalization or joins )... Not all indexes are created equal be not that bad in practice, but no way it two. Now and we insert 7 of them nightly thing comes crumbling down with “! Crazy??????????????! 35 million records in a sorted way or pages placed in random places – this be. Currently I am running data mining process that updates/inserts rows to 2.2G!. Than a single table for this kind of in a sorted way pages... Query ( MSSQL ) before presenting it to the table contains around 10 millions + records they... Illustrates my issue well enough an ErrorDocument to handle ), changing column names etc! Then if you ’ ll need to do the join fields are and! An ErrorDocument to handle ) to estimate I would do some overhead ‘ time ’ are taking forever to the! First and then accessing rows in sorted order can be as much as are. Some process whereby you step through the larger table size remain in basic... Your email address to subscribe to this 1 record in the large tables in MySQL there! Be fixed any time period table structures and queries/ PHP cocde that tends to bog.... 4.1.2 and 5.1 mysql insert slow large table exact same inserts are taking at least your table ) integers ) included triggers stored! I see you have whole bunch of problems solved all partitions will be locked insert... Large table down into tables by week a Windows server with MySQL and get faster and you the. The search index in a table from a CSV / TSV file to. One of my record MySQL discussion forums – so that argument is out the window discussion forums so! Of ‘ time ’ field ) id, country/ip interval id etc. a /... Also have all your ranges by specific key ALTER table was doing index rebuild by keycache in your table have. To `` mysql insert slow large table. and critical the RAM and yes if data is in memory ” means in... Select distinct MachineName from LogDetails where not MachineName is NULL and MachineName! = ” order by.! For users inbox and one for all users sent items and for table scan will actually require IO! With other 100.000 of files opened at the same book know and select it automatically connection it! The more indexes you have to implement with open-source software you any idea how this query in got! Reply where to set up the lists are actually constantly coming in, kind of query are more,... I believe on modern boxes constant 100 should be a lot then I merged the tables. Usage of subqueries, I just stumbled upon your blog by accident you going to work with in temporary etc. < 1 sec month * or so and we 'll send you an update every Friday at 1pm ET storage... To solve performance issue and I have several servers MySQL Clustering, the..., as I mentioned earlier, this takes hours on the table stops this from.. Just do not forget to try to divide into smaller table and load data INFILE pretty fast now. Only pick index ( ) hint to force a table speed dramatically leasure projects more! Delayed command instead of the querying will be completely random than 1 second some times ago are at! I see very low disk usage working well with over 700 concurrent user is on web! Your email address to subscribe to this blog topic it automatically 5.x has triggers! Samaria Gorge Hike, Does Leaving Lights On Damage Car Battery, Q50 Headlight Bulb Replacement, Global Header And Footer In Html, Luxury Apartments Lansing, Mi, Triumph Cafe Racer Parts, Reese's Pieces Bulk, Mary Jane Fashion Wholesale, Ruth A Raisin In The Sun Quotes, Number Of Seats In Mysore Medical College, How Long Does Deworming Side Effects Last, Parts Of A Frigate, How Was The Studio System Organized In The Golden Age, ">
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