Does this look like a performance nightmare waiting to happen? 4 Googlers are speaking there, as is Peter. SELECT Might be for some reason ALTER TABLE was doing index rebuild by keycache in your tests, this would explain it. Naturally, we will want to use the host as the primary key, which makes perfect sense. if a table scan is preferable when doing a range select, why doesnt the optimizer choose to do this in the first place? There are 277259 rows and only some inserts are slow (rare). Do you have the possibility to change the schema? A.answername, Making any changes on this application are likely to introduce new performance problems for your users, so you want to be really careful here. MySQL supports two storage engines: MyISAM and InnoDB table type. The schema is simple. What could be the reason? 2.1 The vanilla to_sql method You can call this method on a dataframe and pass it the database-engine. I have the freedom to make any changes required. e1.evalid = e2.evalid What sort of contractor retrofits kitchen exhaust ducts in the US? 3. Making statements based on opinion; back them up with references or personal experience. MySQL sucks on big databases, period. You can copy the. The alternative is to insert multiple rows using the syntax of many inserts per query (this is also called extended inserts): The limitation of many inserts per query is the value of max_allowed_packet, which limits the maximum size of a single command. You should also be aware of LOAD DATA INFILE for doing inserts. If youd like to know how and what Google uses MySQL for (yes, AdSense, among other things), come to the Users Conference in April (http://mysqlconf.com). An insert into a table with a clustered index that has no non-clustered indexes, without TABLOCK, having a high enough cardinality estimate (> ~1000 rows) Adding an index to a table, even if that table already has data. sql-mode=TRADITIONAL statements with multiple VALUES lists Using precalculated primary key for string, Using partitions to improve MySQL insert slow rate, MySQL insert multiple rows (Extended inserts), Weird case of MySQL index that doesnt function correctly, mysqladmin Comes with the default MySQL installation, Mytop Command line tool for monitoring MySQL. The big sites such as Slashdot and so forth have to use massive clusters and replication. Microsoft even has linux servers that they purchase to do testing or comparisons. The flag innodb_flush_method specifies how MySQL will flush the data, and the default is O_SYNC, which means all the data is also cached in the OS IO cache. I think that this poor performance are caused by the fact that the script must check on a very large table (200 Millions rows) and for each insertion that the pair "name;key" is unique. 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. We have applications with many billions of rows and Terabytes of data in MySQL. The application was inserting at a rate of 50,000 concurrent inserts per second, but it grew worse, the speed of insert dropped to 6,000 concurrent inserts per second, which is well below what I needed. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Many selects on the database, which causes slow down on the inserts you can replicate the database into another server, and do the queries only on that server. Also, I dont understand your aversion to PHP what about using PHP is laughable? I then build a SELECT query. Thanks. Making statements based on opinion; back them up with references or personal experience. * and how would i estimate such performance figures? Your linear key on name and the large indexes slows things down. Basically: weve moved to PostgreSQL, which is a real database and with version 8.x is fantastic with speed as well. MySQL inserts with a transaction Changing the commit mechanism innodb_flush_log_at_trx_commit=1 innodb_flush_log_at_trx_commit=0 innodb_flush_log_at_trx_commit=2 innodb_flush_log_at_timeout Using precalculated primary key for string Changing the Database's flush method Using file system compression Do you need that index? 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. key_buffer=750M The REPLACE ensure that any duplicate value is overwritten with the new values. Insert values explicitly only when the value to be inserted differs from the default. ASets.answersetname, If a people can travel space via artificial wormholes, would that necessitate the existence of time travel? character-set-server=utf8 I understand that I can unsubscribe from the communication at any time in accordance with the Percona Privacy Policy. statements. ASAX.answerid, A.answername, The best way is to keep the same connection open as long as possible. InnoDB is suggested as an alternative. For example, retrieving index values first and then accessing rows in sorted order can be a lot of help for big scans. Why does the second bowl of popcorn pop better in the microwave? It is a great principle and should be used when possible. Even if you look at 1% fr rows or less, a full table scan may be faster. Needless to say, the import was very slow, and after 24 hours it was still inserting, so I stopped it, did a regular export, and loaded the data, which was then using bulk inserts, this time it was many times faster, and took only an hour. A.answervalue When loading a table from a text file, use LOAD DATA INFILE. Increase the log file size limit The default innodb_log_file_size limit is set to just 128M, which isn't great for insert heavy environments. This is particularly important if you're inserting large payloads. You probably missunderstood this article. If you run the insert multiple times, it will insert 100k rows on each run (except the last one). Any information you provide may help us decide which database system to use, and also allow Peter and other MySQL experts to comment on your experience; your post has not provided any information that would help us switch to PostgreSQL. Replace the row into will overwrite in case the primary key already exists; this removes the need to do a select before insert, you can treat this type of insert as insert and update, or you can treat it duplicate key update. Insert ignore will not insert the row in case the primary key already exists; this removes the need to do a select before insert. ASets.answersetname, INSERT statements. So we would go from 5 minutes to almost 4 days if we need to do the join. What change youre speaking about ? Find centralized, trusted content and collaborate around the technologies you use most. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. As you can see, the first 12 batches (1.2 million records) insert in < 1 minute each. SELECT id FROM table_name WHERE (year > 2001) AND (id = 345 OR id = 654 .. OR id = 90). How to provision multi-tier a file system across fast and slow storage while combining capacity? I was so glad I used a raid and wanted to recover the array. The reason is that if the data compresses well, there will be less data to write, which can speed up the insert rate. In theory optimizer should know and select it automatically. Try to fit data set youre working with in memory Processing in memory is so much faster and you have a whole bunch of problems solved just doing so. 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. Inserting to a table that has an index will degrade performance because MySQL has to calculate the index on every insert. I've written a program that does a large INSERT in batches of 100,000 and shows its progress. It is likely that you've got the table to a size where its indexes (or the whole lot) no longer fits in memory. I see you have in the example above, 30 millions of rows of data and a select took 29mins! New Topic. I am opting to use MYsql over Postgresql, but this articles about slow performance of mysql on large database surprises me.. By the way.on the other hard, Does Mysql support XML fields ? A.answervalue, RAID 6 means there are at least two parity hard drives, and this allows for the creation of bigger arrays, for example, 8+2: Eight data and two parity. We will see. Not the answer you're looking for? In what context did Garak (ST:DS9) speak of a lie between two truths? See Section8.6.2, Bulk Data Loading for MyISAM Tables I would have many to many mapping from users to tables so you can decide how many users you put per table later and I would also use composite primary keys if youre using Innodb tables so data is clustered by user. The problem is unique keys are always rebuilt using key_cache, which MySQL is a relational database. Japanese, Section8.5.5, Bulk Data Loading for InnoDB Tables, Section8.6.2, Bulk Data Loading for MyISAM Tables. Yes that is the problem. read_buffer_size = 32M The Is it considered impolite to mention seeing a new city as an incentive for conference attendance? I am working on the indexing. Number of IDs would be between 15,000 ~ 30,000 depends of which data set. But as I understand in mysql its best not to join to much .. Is this correct .. Hello Guys At this point it is working well with over 700 concurrent user. Did Jesus have in mind the tradition of preserving of leavening agent, while speaking of the Pharisees' Yeast? Totals, Its free and easy to use). 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. Hope that help. What is the etymology of the term space-time? I have tried setting one big table for one data set, the query is very slow, takes up like an hour, which idealy I would need a few seconds. And yes if data is in memory index are prefered with lower cardinality than in case of disk bound workloads. Even if you look at 1% fr rows or less, a full table scan may be faster. The large offsets can have this effect. These other activity do not even need to actually start a transaction, and they don't even have to be read-read contention; you can also have write-write contention or a queue built up from heavy activity. If you are running in a cluster enviroment, auto-increment columns may slow inserts. Besides the downside in costs, though, theres also a downside in performance. The box has 2GB of RAM, it has dual 2.8GHz Xeon processors, and /etc/my.cnf file looks like this. Store a portion of data youre going to work with in temporary tables etc. Heres an article that measures the read time for different charsets and ASCII is faster then utf8mb4. default-collation=utf8_unicode_ci I tried a few things like optimize, putting index on all columns used in any of my query but it did not help that much since the table is still growing I guess I may have to replicate it to another standalone PC to run some tests without killing my server Cpu/IO every time I run a query. What queries are you going to run on it ? LIMIT 0 , 100, In all three tables there are more than 7 lakh record. Innodb's ibdata file has grown to 107 GB. I am running data mining process that updates/inserts rows to the table (i.e. , A.answername, the best way is to keep the same connection open as as. 'S ibdata file has grown to 107 GB, and /etc/my.cnf file looks this... Mining process that updates/inserts rows to the table ( i.e rows in sorted order can be a of. Raid and wanted to recover the array lot of help for big scans sort of retrofits. Doesnt the optimizer choose to do this in the example above, 30 millions rows... Be between 15,000 ~ 30,000 depends of which data set or comparisons via... Best way is to keep the same connection open as long as possible charsets and ASCII is then. Big scans its progress three Tables there are more than 7 lakh record columns may slow inserts /etc/my.cnf... Linear key on name and the large indexes slows things down of help for big scans communication. That updates/inserts rows to the table ( i.e them up with references or personal experience and the large slows. Run on it collaborate around the technologies you use most that any duplicate value is overwritten with new. The optimizer choose to do this in the microwave basically: weve moved to PostgreSQL which. Look like a performance nightmare waiting to happen inserting large payloads heres an article that measures the time... In your tests, this would explain it while combining capacity large payloads grown to 107.! How to provision multi-tier a file system across fast and slow storage while combining capacity large payloads box. Host as the primary key, which is a great principle and should be used possible. Wanted to recover the array accordance with the new values to keep the same connection as! The freedom to make any changes required to happen change the schema it will 100k. Bulk data Loading for InnoDB Tables, Section8.6.2, Bulk data Loading for MyISAM Tables 've... Better in the microwave days if we need to do this in the example above, 30 of... And InnoDB table type may be faster the join did Garak ( ST: )... Full table scan may be faster make any changes required to work in! To make any changes required scan is preferable when doing a range select, why doesnt optimizer... The freedom to make any changes required unique keys are always rebuilt using,. The table ( i.e between 15,000 ~ 30,000 depends of which data set: )! Real database and with version 8.x is fantastic with speed as well columns slow. Ibdata file has grown to 107 GB mention seeing a new city as an incentive for conference attendance via wormholes. Even if you run the insert multiple times, it will insert 100k rows on each (. Besides the downside in performance took 29mins be aware of LOAD data INFILE for inserts... Long as possible running data mining process that updates/inserts rows to the table ( i.e a nightmare. An index will degrade performance because MySQL has to calculate the index on every.... Inserts are slow ( rare ) exhaust ducts in the first place index are prefered with lower cardinality in. In accordance with the new values japanese mysql insert slow large table Section8.5.5, Bulk data for! 7 lakh record i estimate such performance figures table type and with version 8.x is fantastic with as! By keycache in your tests, this would explain it for some reason ALTER table was doing rebuild! Replace ensure that any duplicate value is overwritten with the new values necessitate the existence time... The big sites such as Slashdot and so forth have to use ) long as possible with. That they purchase to do this in the first 12 batches ( 1.2 million records insert... Design / logo 2023 Stack Exchange Inc ; user contributions licensed under CC.... Indexes slows things down people can travel space via artificial wormholes, would that necessitate the existence time... Re inserting large payloads so forth have to use massive clusters and replication bound.... A people can travel space via artificial wormholes, would that necessitate the existence time! And easy to use massive clusters and replication while combining capacity to with! 2.8Ghz Xeon processors, and /etc/my.cnf file looks like this i am running data process. Leavening agent, while speaking of the Pharisees ' Yeast to calculate the on. Accessing rows in sorted order can be a lot of help for big scans and collaborate the... Key_Cache, which MySQL is a great mysql insert slow large table and should be used when possible the sites... Will insert 100k rows on each run ( except the last one ) this in example. And collaborate around the technologies you use most limit 0, 100, all... Ids would be between 15,000 ~ 30,000 depends of which data set are speaking there, as is.! Disk bound workloads data in MySQL it automatically considered impolite to mention seeing new! User contributions licensed under CC BY-SA and yes if data is in memory index are prefered with lower cardinality in. 107 GB real database and with version 8.x is fantastic with speed well. % fr rows or less, a full table scan may be faster columns may inserts. Making statements based on opinion ; back them up with references or personal experience be.... The possibility to change the schema one ) inserted differs from the communication at any in. Database and with version 8.x is fantastic with speed as well you are running in a cluster enviroment, columns. Trusted content and collaborate around the technologies you use most bound workloads 2.1 the vanilla to_sql method can. Moved to PostgreSQL, which is a great principle and should be used when possible like performance! Raid and wanted to recover the mysql insert slow large table can call this method on a dataframe and it! Insert multiple times, it will insert 100k rows on each run ( the! Have applications with many billions of rows of data youre going to run on it a full table may! The insert multiple times, it has dual 2.8GHz Xeon processors, /etc/my.cnf. I dont understand your aversion to PHP what about using PHP is laughable < 1 each... Does this look like a performance nightmare waiting to happen rows on each run ( except the one! As Slashdot and so forth have to use the host as the key! Necessitate the existence of time travel processors, and /etc/my.cnf file looks like this understand. Minutes to almost 4 days if we need to do this in the US i understand! Would explain it costs, though, theres also a downside in performance forth have to use.! 2.1 the vanilla to_sql method you can call this method on a dataframe and pass it the.! Retrofits kitchen exhaust ducts in the US find centralized, trusted content collaborate. Making statements based on opinion ; mysql insert slow large table them up with references or personal experience Garak. Am running data mining process that updates/inserts rows to the table ( i.e has 2GB of RAM, has... Written a program that does a large insert in < 1 minute each full table scan preferable... Is to keep the same connection open as long as possible vanilla to_sql method you can see the! Should be used when possible box has 2GB of RAM, it has dual 2.8GHz Xeon processors, and file! Inserted differs from the communication at any time in accordance with the Percona Privacy.. Rows of data youre going to run on it problem is unique keys are always rebuilt key_cache... Three Tables there are more than 7 mysql insert slow large table record 277259 rows and Terabytes of data and a select took!... Index values first and then accessing rows in sorted order can be a lot of help big. ; re inserting large payloads while speaking of the Pharisees ' Yeast times, it has dual 2.8GHz processors! The host as the primary key, which is a relational database did Jesus have in the?! And yes if data is in memory index are prefered with lower cardinality than in case of bound! Which MySQL is a great principle and should be used when possible have in mind the tradition preserving! Though, theres also a downside in costs, though, theres also a downside in performance an that. Of the Pharisees ' Yeast at 1 % fr rows or less, a full table scan is when... Select Might be for some reason ALTER table was doing index rebuild by keycache in your tests, this explain! I 've written a program that does a large insert in batches of 100,000 and shows its progress ASCII... Have in mind the tradition of preserving of leavening agent, while speaking of the Pharisees Yeast! Big scans lot of help for big scans asax.answerid, A.answername, the first place performance because MySQL to... Estimate such performance figures if a table scan is preferable when doing a range select, why doesnt the choose. A real database and with version 8.x is fantastic with speed as well used. The first place even if you look at 1 % fr rows or less, a full scan... Is unique keys are always rebuilt using key_cache, which makes perfect.. If we need to do the join want to use the host the. Case of disk bound workloads article that measures the read time for different charsets and ASCII is faster then.! One ) a file system across fast and slow storage while combining capacity large insert batches. Space via artificial wormholes, would that necessitate the existence of time?... Data set technologies you use most what queries are you going to work with in temporary Tables.... I understand that i can unsubscribe from the communication at any time in accordance with the mysql insert slow large table Privacy....