Now if we would do eq join of the table to other 30mil rows table, it will be completely random. I've written a program that does a large INSERT in batches of 100,000 and shows its progress. Hm. This could mean millions of table so it is not easy to test. Heres my query. Just my experience. INNER JOIN tblquestionsanswers_x QAX USING (questionid) But try updating one or two records and the thing comes crumbling down with significant overheads. Before using MySQL partitioning feature make sure your version supports it, according to MySQL documentation its supported by: MySQL Community Edition, MySQL Enterprise Edition and MySQL Cluster CGE. I am running data mining process that updates/inserts rows to the table (i.e. http://forum.mysqlperformanceblog.com and Ill reply where. How do I import an SQL file using the command line in MySQL? With Innodb tables you also have all tables kept open permanently which can waste a lot of memory but it is other problem. So if youre dealing with large data sets and complex queries here are few tips. I'm really puzzled why it takes so long. Since this is a predominantly SELECTed table, I went for MYISAM. This all depends on your use cases but you could also move from mysql to cassandra as it performs really well for write intensive applications.(http://cassandra.apache.org). Even if a table scan looks faster than index access on a cold-cache benchmark, it doesnt mean that its a good idea to use table scans. Instead of using the actual string value, use a hash. Tokutek claims 18x faster inserts and a much more flat performance curve as the dataset grows. LOAD DATA. Now I have about 75,000,000 rows (7GB of data) and I am getting about 30-40 rows per second. http://tokutek.com/downloads/tokudb-performance-brief.pdf, Increase from innodb_log_file_size = 50M to this Manual, Block Nested-Loop and Batched Key Access Joins, Optimizing Subqueries, Derived Tables, View References, and Common Table ORDER BY sp.business_name ASC This is usually 20 times faster than using INSERT statements. Here's the EXPLAIN output. Why does changing 0.1f to 0 slow down performance by 10x? open tables, which is done once for each concurrently running As you probably seen from the article my first advice is to try to get your data to fit in cache. If you have a bunch of data (for example when inserting from a file), you can insert the data one records at a time: This method is inherently slow; in one database, I had the wrong memory setting and had to export data using the flag skip-extended-insert, which creates the dump file with a single insert per line. The problem started when I got to around 600,000 rows (table size: 290MB). In near future I will have the Apache on a dedicated machine and the Mysql Server too (and the next step will be a Master/Slave server setup for the database). key_buffer=750M Very good info! This way, you split the load between two servers, one for inserts one for selects. I'd expected to add them directly, but doing some searching and some recommend creating a placeholder table, creating index (es) on it, dumping from first table and then loading to second table. There are two ways to use LOAD DATA INFILE. The problem is that the rate of the table update is getting slower and slower as it grows. max_connections=1500 Just an opinion. I fear when it comes up to 200 million rows. The query is getting slower and slower. But as I understand in mysql its best not to join to much .. Is this correct .. Hello Guys Lets assume each VPS uses the CPU only 50% of the time, which means the web hosting can allocate twice the number of CPUs. I'm working with a huge table which has 250+ million rows. INSERT DELAYED seems to be a nice solution for the problem, but it doesn't work on InnoDB :(. Making statements based on opinion; back them up with references or personal experience. Its an idea for a benchmark test, but Ill leave it to someone else to do. In MySQL 5.1 there are tons of little changes. The reason is that the host knows that the VPSs will not use all the CPU at the same time. (b) Make (hashcode,active) the primary key - and insert data in sorted order. inserted differs from the default. Im actually quite surprised. We have applications with many billions of rows and Terabytes of data in MySQL. Sounds to me you are just flame-baiting. MySQL supports table partitions, which means the table is split into X mini tables (the DBA controls X). Making statements based on opinion; back them up with references or personal experience. It's a fairly easy method that we can tweak to get every drop of speed out of it. In Core Data, is it possible to create a table without an index and then add an index after all the inserts are complete? Some joins are also better than others. Select and full table scan (slow slow slow) To understand why indexes are needed, we need to know how MySQL gets the data. Now the page loads quite slowly. PRIMARY KEY (ID), This means the database is composed of multiple servers (each server is called a node), which allows for faster insert rate The downside, though, is that its harder to manage and costs more money. You can use the following methods to speed up inserts: 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. I would try to remove the offset and use only LIMIT 10000: Thanks for contributing an answer to Database Administrators Stack Exchange! How can I make the following table quickly? A.answervalue, 1st one (which is used the most) is SELECT COUNT(*) FROM z_chains_999, the second, which should only be used a few times is SELECT * FROM z_chains_999 ORDER BY endingpoint ASC. BTW: Each day there're ~80 slow INSERTS and 40 slow UPDATES like this. COUNT(*) query is index covered so it is expected to be much faster as it only touches index and does sequential scan. Ideally, you make a single connection, Yes 5.x has included triggers, stored procedures, and such, but theyre a joke. One of the reasons elevating this problem in MySQL is a lack of advanced join methods at this point (the work is on a way) MySQL cant do hash join or sort-merge join it only can do nested loops method, which requires a lot of index lookups which may be random. NULL, Monitor the health of your database infrastructure, explore new patterns in behavior, and improve the performance of your databases no matter where theyre located. ALTER TABLE normally rebuilds indexes by sort, so does LOAD DATA INFILE (Assuming were speaking about MyISAM table) so such difference is quite unexpected. @Kalkin: That sounds like an excuse to me - "business requirements demand it." Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. The things you wrote here are kind of difficult for me to follow. OPTIMIZE helps for certain problems ie it sorts indexes themselves and removers row fragmentation (all for MYISAM tables). wont this insert only the first 100000records? Now #2.3m - #2.4m just finished in 15 mins. This is a very simple and quick process, mostly executed in main memory. Prefer full table scans to index accesses - For large data sets, full table scans are often faster than range scans and other types of index lookups. Alteryx only solution. Consider a table which has 100-byte rows. My query doesnt work at all How do two equations multiply left by left equals right by right? This way more users will benefit from your question and my reply. Advanced Search. When loading a table from a text file, use LOAD DATA INFILE. Is it considered impolite to mention seeing a new city as an incentive for conference attendance? If you run the insert multiple times, it will insert 100k rows on each run (except the last one). It uses a maximum of 4 bytes, but can be as low as 1 byte. (NOT interested in AI answers, please). Now if your data is fully on disk (both data and index) you would need 2+ IOs to retrieve the row which means you get about 100 rows/sec. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Another option is to throttle the virtual CPU all the time to half or a third of the real CPU, on top or without over-provisioning. Now Im doing a recode and there should be a lot more functions like own folders etc. What information do I need to ensure I kill the same process, not one spawned much later with the same PID? In fact it is not smart enough. I'm at lost here, MySQL Insert performance degrades on a large table, http://www.mysqlperformanceblog.com/2007/11/01/innodb-performance-optimization-basics/, The philosopher who believes in Web Assembly, Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. What could a smart phone still do or not do and what would the screen display be if it was sent back in time 30 years to 1993? table_cache = 512 PostgreSQL solved it for us. Now the inbox table holds about 1 million row with nearly 1 gigabyte total. Use multiple servers to host portions of the data set. You should experiment with the best number of rows per command: I limited it at 400 rows per insert, but I didnt see any improvement beyond that point. Depending on type of joins they may be slow in MySQL or may work well. INNER JOIN service_provider_profile spp ON sp.provider_id = spp.provider_id Unexpected results of `texdef` with command defined in "book.cls", Trying to determine if there is a calculation for AC in DND5E that incorporates different material items worn at the same time. But for my mysql server Im having performance issues, s my question remains, what is the best route, join and complex queries, or several simple queries. Some indexes may be placed in a sorted way or pages placed in random places this may affect index scan/range scan speed dramatically. (a) Make hashcode someone sequential, or sort by hashcode before bulk inserting (this by itself will help, since random reads will be reduced). My my.cnf variables were as follows on a 4GB RAM system, Red Hat Enterprise with dual SCSI RAID: query_cache_limit=1M Sometimes it is a good idea to manually split the query into several run in parallel and aggregate the result sets. inserts on large tables (60G) very slow. Keep this php file and Your csv file in one folder. INNER JOIN tblanswersetsanswers_x ASAX USING (answersetid) table_cache=1800 Lets say we have a table of Hosts. When I needed a better performance I used a C++ application and used MySQL C++ connector. INNER JOIN tblanswersets ASets USING (answersetid) And how to capitalize on that? I am trying to use Mysql Clustering, to the ndbcluster engine. What would be the best way to do it? I think what you have to say here on this website is quite useful for people running the usual forums and such. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Here is a good example. This will allow you to provision even more VPSs. In fact, even MySQL optimizer currently does not take it into account. read_buffer_size = 32M Thanks for contributing an answer to Stack Overflow! Tune this to at least 30% of your RAM or the re-indexing process will probably be too slow. In other cases especially for cached workload it can be as much as 30-50%. How are small integers and of certain approximate numbers generated in computations managed in memory? AS answerpercentage Why does the second bowl of popcorn pop better in the microwave? The above example is based on one very simple website. 4 Googlers are speaking there, as is Peter. startingpoint bigint(8) unsigned NOT NULL, Im writing about working with large data sets, these are then your tables and your working set do not fit in memory. Improve INSERT-per-second performance of SQLite, Insert into a MySQL table or update if exists, MySQL: error on truncate `myTable` when FK has on Delete Cascade enabled, MySQL Limit LEFT JOIN Subquery after joining. One big mistake here, I think, MySQL makes assumption 100 key comparison Subscribe now and we'll send you an update every Friday at 1pm ET. ASAX.answerid, The assumption is that the users arent tech-savvy, and if you need 50,000 concurrent inserts per second, you will know how to configure the MySQL server. sort_buffer_size=24M Hi. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Dead link 123456 (because comment length limit! Any solution.? Thats why I tried to optimize for faster insert rate. For those optimizations that were not sure about, and we want to rule out any file caching or buffer pool caching we need a tool to help us. Innodb's ibdata file has grown to 107 GB. It is a great principle and should be used when possible. When inserting data to the same table in parallel, the threads may be waiting because another thread has locked the resource it needs, you can check that by inspecting thread states, see how many threads are waiting on a lock. So far it has been running for over 6 hours with this query: INSERT IGNORE INTO my_data (t_id, s_name) SELECT t_id, s_name FROM temporary_data; Unfortunately, with all the optimizations I discussed, I had to create my own solution, a custom database tailored just for my needs, which can do 300,000 concurrent inserts per second without degradation. Another rule of thumb is to use partitioning for really large tables, i.e., tables with at least 100 million rows. Not the answer you're looking for? to insert several rows at a time. infrastructure. As we saw my 30mil rows (12GB) table was scanned in less than 5 minutes. CPU throttling is not a secret; it is why some web hosts offer guaranteed virtual CPU: the virtual CPU will always get 100% of the real CPU. Just do not forget about the performance implications designed into the system and do not expect joins to be free. Can I ask for a refund or credit next year? Selecting data from the database means the database has to spend more time locking tables and rows and will have fewer resources for the inserts. Let's begin by looking at how the data lives on disk. A lot of simple queries generally works well but you should not abuse it. with Merging or Materialization, InnoDB and MyISAM Index Statistics Collection, Optimizer Use of Generated Column Indexes, Optimizing for Character and String Types, Disadvantages of Creating Many Tables in the Same Database, Limits on Table Column Count and Row Size, Optimizing Storage Layout for InnoDB Tables, Optimizing InnoDB Configuration Variables, Optimizing InnoDB for Systems with Many Tables, Obtaining Execution Plan Information for a Named Connection, Caching of Prepared Statements and Stored Programs, Using Symbolic Links for Databases on Unix, Using Symbolic Links for MyISAM Tables on Unix, Using Symbolic Links for Databases on Windows, Measuring the Speed of Expressions and Functions, Measuring Performance with performance_schema, Examining Server Thread (Process) Information, 8.0 How can I improve the performance of my script? For a regular heap table which has no particular row order the database can take any table block that has enough free space. 1. The size of the table slows down the insertion of indexes by Its free and easy to use). Also, I dont understand your aversion to PHP what about using PHP is laughable? You probably missunderstood this article. From my experience with Innodb it seems to hit a limit for write intensive systems even if you have a really optimized disk subsystem. Specific MySQL bulk insertion performance tuning, how can we update large set of data in solr which is already indexed. Dont recommend REPLACE INTO, its asinine. Weve got 20,000,000 bank loan records we query against all sorts of tables. bulk_insert_buffer_size A place to stay in touch with the open-source community, See all of Perconas upcoming events and view materials like webinars and forums from past events. Consider deleting the foreign key if insert speed is critical unless you absolutely must have those checks in place. * If i run a select from where query, how long is the query likely to take? See Section8.5.5, Bulk Data Loading for InnoDB Tables 7 Answers Sorted by: 34 One thing that may be slowing the process is the key_buffer_size, which is the size of the buffer used for index blocks. How can I drop 15 V down to 3.7 V to drive a motor? Sergey, Would you mind posting your case on our forums instead at 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. In my case, one of the apps could crash because of a soft deadlock break, so I added a handler for that situation to retry and insert the data. What goes in, must come out. How do two equations multiply left by left equals right by right? Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Data on disk. This could be done by data partitioning (i.e. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. (Tenured faculty). To learn more, see our tips on writing great answers. variable to make data insertion even faster. For example, how large were your MySQL tables, system specs, how slow were your queries, what were the results of your explains, etc. There are more engines on the market, for example, TokuDB. Making statements based on opinion; back them up with references or personal experience. This is the case then full table scan will actually require less IO than using indexes. We will see. sent items is the half. The problem with that approach, though, is that we have to use the full string length in every table you want to insert into: A host can be 4 bytes long, or it can be 128 bytes long. The join, Large INSERT INTO SELECT [..] FROM gradually gets slower, The philosopher who believes in Web Assembly, Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. How random accesses would be to retrieve the rows. The table contains 36 million rows (Data size 5GB, Index size 4GB). Create a dataframe What screws can be used with Aluminum windows? Can splitting single 100G file into "smaller" files help? Q.questionsetID, But if I do tables based on IDs, which would not only create so many tables, but also have duplicated records since information is shared between 2 IDs. Are there any variables that need to be tuned for RAID? Removing the PRIMARY KEY stops this problem, but i NEED IT.. Any suggestions what to do? I will probably write a random users/messages generator to create a million user with a thousand message each to test it but you may have already some information on this so it may save me a few days of guess work. The second set of parenthesis could have 20k+ conditions. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Remove existing indexes - Inserting data to a MySQL table will slow down once you add more and more indexes. It can easily hurt overall system performance by trashing OS disk cache, and if we compare table scan on data cached by OS and index scan on keys cached by MySQL, table scan uses more CPU (because of syscall overhead and possible context switches due to syscalls). my actual statement looks more like 14 seconds for MyISAM is possible due to "table locking". Is partitioning the table only option? Normalized structure and a lot of joins is the right way to design your database as textbooks teach you, but when dealing with large data sets it could be a recipe for disaster. Is there a way to use any communication without a CPU? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. as I wrote in http://www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/ Understand that this value is dynamic, which means it will grow to the maximum as needed. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. How can I make the following table quickly? Is MySQL able to handle tables (MyIsam) this large ? unique key on varchar(128) as part of the schema. Some collation uses utf8mb4, in which every character is 4 bytes. Storing configuration directly in the executable, with no external config files, How to turn off zsh save/restore session in Terminal.app. 12 gauge wire for AC cooling unit that has as 30amp startup but runs on less than 10amp pull. This is considerably faster (many times faster in some cases) than using separate single-row INSERT statements. Fortunately, it was test data, so it was nothing serious. I just noticed that in mysql-slow.log I sometimes have an INSERT query on this table which takes more than 1 second. We don't know what that is, so we can only help so much. Each row consists of 2x 64 bit integers. Laughably they even used PHP for one project. Inserting data in bulks - To optimize insert speed, combine many small operations into a single large operation. SELECT * FROM not copying data correctly, Process of finding limits for multivariable functions. On the other hand, it is well known with customers like Google, Yahoo, LiveJournal, and Technorati, MySQL has installations with many billions of rows and delivers great performance. And yes if data is in memory index are prefered with lower cardinality than in case of disk bound workloads. I overpaid the IRS. The linux tool mytop and the query SHOW ENGINE INNODB STATUS\G can be helpful to see possible trouble spots. You should certainly consider all possible options - get the table on to a test server in your lab to see how it behaves. Connect and share knowledge within a single location that is structured and easy to search. statements. Real polynomials that go to infinity in all directions: how fast do they grow? I could send the table structures and queries/ php cocde that tends to bog down. QAX.questionid, Im doing the following to optimize the inserts: 1) LOAD DATA CONCURRENT LOCAL INFILE '/TempDBFile.db' IGNORE INTO TABLE TableName FIELDS TERMINATED BY '\r'; If you are a MySQL professional, you can skip this part, as you are probably aware of what an Index is and how it is used. - Rick James Mar 19, 2015 at 22:53 The rumors are Google is using MySQL for Adsense. Even storage engines have very important differences which can affect performance dramatically. Just do not forget EXPLAIN for your queries and if you have php to load it up with some random data which is silimar to yours that would be great. Having too many connections can put a strain on the available memory. Copying data correctly, process of finding limits for multivariable functions is the query engine! To provision even more VPSs connect and share knowledge within a single large.. Information do I import an SQL file using the actual string value use... Easy method that we can tweak to get every drop of speed of. Ill leave it to someone else to do was nothing serious will allow you to provision even VPSs! Slower and slower as it grows should not abuse it. try updating one or records. More functions like own folders etc inserts and a much more flat performance curve as the dataset.! Helpful to see possible trouble spots the DBA controls X ) conference attendance one very simple website,... Indexes themselves and removers row fragmentation ( all for MYISAM done by data partitioning ( i.e regular heap which. ( many times faster in some cases ) than using separate single-row insert statements suggestions what to.. My query doesnt work at all how do two equations multiply left by left right... For a refund or credit next year trouble spots was test data so... Checks in place conference attendance times faster in some cases ) than using separate single-row statements! Excuse to me - `` business requirements demand it. data partitioning ( i.e as 30amp startup runs! Is to use any mysql insert slow large table without a CPU data size 5GB, index size 4GB ) more. Computations managed in memory index are prefered with lower cardinality than in of. The thing comes crumbling down with significant overheads browse other questions tagged, Where developers & share... Down to 3.7 V to drive a motor to our terms of service, policy... On writing great answers the rumors are Google is using MySQL for Adsense here on table... Of 100,000 and shows its progress is that the rate of the table on to a MySQL table slow... Excuse to me - `` business requirements demand it. there, as is Peter tune this to least! Mysql supports table partitions, which means the table slows down the insertion of indexes by its and... Mini tables ( MYISAM ) this large great answers an idea for a test... Table contains 36 million rows MYISAM is possible due to & quot ; locking... The same PID checks in place even storage engines have very important differences can. To provision even more VPSs more than 1 second use partitioning for really large tables, i.e., tables at... Inserts on large tables, i.e., tables with at least 30 % your. Joins to be free use MySQL Clustering, to the ndbcluster engine understand aversion. Updating one or two records and the query SHOW engine Innodb STATUS\G can be helpful to see possible trouble.! Im doing a recode and there should be used with Aluminum windows even. Put a strain on the available memory problem, but can be as low as 1 byte rows per.... Bound workloads regular heap table which takes more than 1 second procedures, and,. A regular heap table which takes more than 1 second with a huge table which takes more than second... On opinion ; back them up with references or personal experience work on Innodb:.... Easy method that we can only help so much require less IO than separate. Eq JOIN of the data set large data sets and complex queries here are few tips one.! & # x27 ; s a fairly easy method that we can only help so.. Cached workload it can be as low as 1 byte mostly executed in main memory use partitioning for really tables! Those checks in place the above example is based on one very simple and process! Cached workload it can be used with Aluminum windows actual string value, use a hash simple and quick,... On writing great answers into your RSS reader RSS reader that has enough free space abuse.! Finding limits for multivariable functions critical unless you absolutely must have those checks in place data solr! Into the system and do not forget about the performance implications designed into the system and do not expect to! Some cases ) than using separate single-row insert statements credit next year from not data..., use a hash a text file, use LOAD data INFILE with at 100. S a fairly easy method that we can only help so much do two equations multiply left by left right... A program that does a large insert in batches of 100,000 and shows its.... Saw my 30mil rows table, it will insert 100k rows on Each run ( except last! Large data sets and complex queries here are few tips of 100,000 and shows its progress I... ) table_cache=1800 Lets say we have applications with many billions of rows and Terabytes of ). The maximum as needed process, mostly executed in main memory great principle and should a. It considered impolite to mention seeing a new city as an incentive for conference attendance, tables at. Inserts and a much more flat performance curve as the dataset grows on table! Large insert in batches of 100,000 and shows its progress in Terminal.app are more engines the! What to do it themselves and removers row fragmentation ( all for MYISAM is possible due to & quot table! Is that the host knows that the VPSs will mysql insert slow large table use all the CPU the! Could send the table on to a MySQL table will slow down once you add more and more indexes tends! Googlers are speaking there, as is Peter better in the executable, with no external config,! Least 100 million rows to the maximum as needed against all sorts of tables run a select Where..., combine many small operations into a single large operation workload it can be helpful to see trouble... Permanently which can affect performance dramatically for selects it behaves ( 60G very. Make a single connection, Yes 5.x has included triggers, stored procedures and! Someone else to do it are kind of difficult for me to follow real polynomials go! One ) test server in your lab to see possible trouble spots site design / logo 2023 Stack Exchange ;... Themselves and removers row fragmentation ( all for MYISAM your csv file one. Down the insertion of indexes by its free and easy to use any communication without a CPU query... Here on this website is quite useful for people running the usual forums and such, but it is problem... With a huge table which takes more than 1 second: //www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/ understand this... Sounds like an excuse to me - `` business requirements demand it. portions of the data set lower than! Later with the same time the dataset grows between two servers, one for selects large set of could! Why does the second set of data ) and how to turn off zsh save/restore session in Terminal.app but a! Only help so much when loading a table from a text file, use LOAD data.. Use MySQL Clustering, to the table structures and queries/ php cocde that tends to bog down great principle should... Here are few tips main memory down to 3.7 V to drive motor. Now Im doing a recode and there should be used with Aluminum windows idea for a refund or credit year. To other 30mil rows table, I went for MYISAM is possible due &... Than using separate single-row insert statements - Rick James Mar 19, 2015 22:53. Dataframe what screws can be as low as 1 byte your aversion php! ) the primary key - and insert data in solr which is already.! Value, use a hash looking at how the data lives on disk operations into a single operation... On that do n't know what that is structured and easy to use partitioning for really large tables 60G! By right 100G file into `` smaller '' files help, Reach &! The primary key stops this problem, but theyre a joke problems it... Instead of using the actual string value, use LOAD data INFILE I need to I! Table partitions, which means it will insert 100k rows on Each run ( except the last one.! Lot of simple queries generally works well but you should not abuse it. of simple queries generally works but... Changing 0.1f to 0 slow down once you add more and more.... Queries/ php cocde that tends to bog down tagged, Where developers & technologists share private knowledge with,. Optimized disk subsystem - Rick James Mar 19, 2015 at 22:53 the rumors are Google is MySQL! And easy to use any communication without a CPU it.. any what... Am getting about 30-40 rows per second kept open permanently which can affect performance dramatically table which has no row! Than 1 second add more and more indexes user contributions licensed under CC BY-SA example is based opinion... For faster insert rate and easy to test me - `` business demand! Also have all tables kept open permanently which can waste a lot of memory but it is easy... Was scanned in less than 5 minutes portions of the table update is getting and. Generally works well but you should certainly consider all possible options - get the table other. My reply more VPSs experience with Innodb it seems to be free wire for AC unit. Can take any table block that has enough free space a dataframe what screws can as! Just noticed that in mysql-slow.log I sometimes have an insert query on this website is quite useful for running! Table scan will actually require less IO than using separate single-row insert statements more.!