This is the case then full table scan will actually require less IO than using indexes. ASAX.answersetid, General linux performance tools can also show how busy your disks are, etc. Connect and share knowledge within a single location that is structured and easy to search. I came to this Here's the EXPLAIN output. COUNT(DISTINCT e3.evalanswerID) AS totalforthisquestion, What gives? wait_timeout=10 what changes are in 5.1 which change how the optimzer parses queries.. does running optimize table regularly help in these situtations? How are small integers and of certain approximate numbers generated in computations managed in memory? Jie Wu. The large offsets can have this effect. 2. set global slow_query_log=on; 3. SELECTS: 1 million. SELECT * FROM not copying data correctly, Process of finding limits for multivariable functions. AND e4.InstructorID = 1021338, ) ON e3.questionid = Q.questionID AND The big sites such as Slashdot and so forth have to use massive clusters and replication. If you find a way to improve insert performance, it is possible that it will reduce search performance or performance of other operations. This article is BS. rev2023.4.17.43393. http://forum.mysqlperformanceblog.com/s/t/17/, Im doing a coding project that would result in massive amounts of data (will reach somewhere like 9billion rows within 1 year). For example, if you have a star join with dimension tables being small, it would not slow things down too much. The box has 2GB of RAM, it has dual 2.8GHz Xeon processors, and /etc/my.cnf file looks like this. Decrease the number of indexes on the target table if possible. How do two equations multiply left by left equals right by right? Not the answer you're looking for? Part of ACID compliance is being able to do a transaction, which means running a set of operations together that either all succeed or all fail. bulk_insert_buffer_size Should I use the datetime or timestamp data type in MySQL? How can I make inferences about individuals from aggregated data? send the data for many new rows at once, and delay all index You will need to do a thorough performance test on production-grade hardware before releasing such a change. 4 Googlers are speaking there, as is Peter. 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. The three main issues you should be concerned if youre dealing with very large data sets are Buffers, Indexes, and Joins. Hope that help. my key_buffer is set to 1000M, but this problem already begins long before the memory is full. 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. INNER JOIN tblanswersets ASets USING (answersetid) February 16, 2010 09:59AM Re: inserts on large tables (60G) very slow. In case there are multiple indexes, they will impact insert performance even more. If you are running in a cluster enviroment, auto-increment columns may slow inserts. Making statements based on opinion; back them up with references or personal experience. To learn more, see our tips on writing great answers. Ideally, you make a single connection, Asking for help, clarification, or responding to other answers. If foreign key is not really needed, just drop it. What sort of contractor retrofits kitchen exhaust ducts in the US? 2. How do I rename a MySQL database (change schema name)? set-variable=max_connections=1500 http://tokutek.com/downloads/tokudb-performance-brief.pdf, Increase from innodb_log_file_size = 50M to Select times are reasonable, but insert times are very very very slow. I am running MYSQL 5.0. Finally I should mention one more MySQL limitation which requires you to be extra careful working with large data sets. to allocate more space for the table and indexes. The problem is not the data size; normalized data normally becomes smaller, but a dramatically increased number of index lookups could be random accesses. Your linear key on name and the large indexes slows things down. Some indexes may be placed in a sorted way or pages placed in random places this may affect index scan/range scan speed dramatically. Also, I dont understand your aversion to PHP what about using PHP is laughable? How can I make the following table quickly? Everything is real real slow. read_rnd_buffer_size = 128M open tables, which is done once for each concurrently running Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. How can I do 'insert if not exists' in MySQL? It's much faster to insert all records without indexing them, and then create the indexes once for the entire table. unique keys. See Section8.5.5, Bulk Data Loading for InnoDB Tables Content Discovery initiative 4/13 update: Related questions using a Machine A Most Puzzling MySQL Problem: Queries Sporadically Slow. A.answervalue, download as much or as little as you need. I have tried indexes and that doesnt seem to be the problem. Im working on a project which will need some tables with about 200-300 million rows. Naturally, we will want to use the host as the primary key, which makes perfect sense. It is likely that you've got the table to a size where its indexes (or the whole lot) no longer fits in memory. Regarding your TABLE, there's 3 considerations that affects your performance for each record you add : (1) Your Indexes (2) Your Trigger (3) Your Foreign Keys. Google may use Mysql but they dont necessarily have billions of rows just because google uses MySQL doesnt mean they actually use it for their search engine results. Just to clarify why I didnt mention it, MySQL has more flags for memory settings, but they arent related to insert speed. The transaction log is needed in case of a power outage or any kind of other failure. Why does the second bowl of popcorn pop better in the microwave? following factors, where the numbers indicate approximate Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. The REPLACE ensure that any duplicate value is overwritten with the new values. 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. For example, how large were your MySQL tables, system specs, how slow were your queries, what were the results of your explains, etc. row by row instead. This article will focus only on optimizing InnoDB for optimizing insert speed. 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 have a project I have to implement with open-source software. like if (searched_key == current_key) is equal to 1 Logical I/O. sort_buffer_size=24M MySQL, I have come to realize, is as good as a file system on steroids and nothing more. A lot of simple queries generally works well but you should not abuse it. Simply passing all the records to the database is extremely slow as you mentioned, so use the speed of the Alteryx engine to your advantage. There are many design and configuration alternatives to deliver you what youre looking for. 14 seconds for MyISAM is possible due to "table locking". MySQL NDB Cluster (Network Database) is the technology that powers MySQL distributed database. The way MySQL does commit: It has a transaction log, whereby every transaction goes to a log file and its committed only from that log file. Runing explain is good idea. If you started from in-memory data size and expect gradual performance decrease as the database size grows, you may be surprised by a severe drop in performance. NULL, So we would go from 5 minutes to almost 4 days if we need to do the join. Doing so also causes an index lookup for every insert. 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. There are 277259 rows and only some inserts are slow (rare). This will reduce the gap, but I doubt it will be closed. http://www.mysqlperformanceblog.com/2007/11/01/innodb-performance-optimization-basics/. Normally MySQL is rather fast loading data in MyISAM table, but there is exception, which is when it cant rebuild indexes by sort but builds them 12 gauge wire for AC cooling unit that has as 30amp startup but runs on less than 10amp pull. Can a rotating object accelerate by changing shape? set long_query . query_cache_size=32M This is what twitter hit into a while ago and realized it needed to shard - see http://github.com/twitter/gizzard. MySQL sucks on big databases, period. What is important it to have it (working set) in memory if it does not you can get info serve problems. For example, when we switched between using single inserts to multiple inserts during data import, it took one task a few hours, and the other task didnt complete within 24 hours. Just my experience. FROM tblquestions Q Why does the second bowl of popcorn pop better in the microwave? Or maybe you need to tweak your InnoDB configuration: I am guessing your application probably reads by hashcode - and a primary key lookup is faster. Take advantage of the fact that columns have default values. One big mistake here, I think, MySQL makes assumption 100 key comparison It only takes a minute to sign up. So when I would REPAIR TABLE table1 QUICK at about 4pm, the above query would execute in 0.00 seconds. You cant go away with ALTER TABLE DISABLE KEYS as it does not affect PRIMARY KEY (startingpoint,endingpoint) Even if you look at 1% fr rows or less, a full table scan may be faster. In addition, RAID 5 for MySQL will improve reading speed because it reads only a part of the data from each drive. Q.question, PRIMARY KEY (ID), The rumors are Google is using MySQL for Adsense. innodb_log_file_size = 500M. The parity method allows restoring the RAID array if any drive crashes, even if its the parity drive. From my experience with Innodb it seems to hit a limit for write intensive systems even if you have a really optimized disk subsystem. SELECT Therefore, its possible that all VPSs will use more than 50% at one time, which means the virtual CPU will be throttled. 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. Dont recommend REPLACE INTO, its asinine. As we saw my 30mil rows (12GB) table was scanned in less than 5 minutes. import pandas as pd # 1. hbspt.cta.load(758664, '623c3562-c22f-4107-914d-e11c78fa86cc', {"useNewLoader":"true","region":"na1"}); If youve been reading enough database-related forums, mailing lists, or blogs you have probably heard complains about MySQL being unable to handle more than 1,000,000 (or select any other number) rows by some of the users. 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. As you probably seen from the article my first advice is to try to get your data to fit in cache. Take the * out of your select, and name the columns you need. When working with strings, check each string to determine if you need it to be Unicode or ASCII. Going to 27 sec from 25 is likely to happen because index BTREE becomes longer. There is only so much a server can do, so it will have to wait until it has enough resources. Ian, COUNT(DISTINCT e1.evalanswerID) AS totalforinstructor, Using SQL_BIG_RESULT helps to make it use sort instead. The Database works now flawless i have no INSERT problems anymore, I added the following to my mysql config it should gain me some more performance. 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. The Cloud has been a hot topic for the past few yearswith a couple clicks, you get a server, and with one click you delete it, a very powerful way to manage your infrastructure. Have fun with that when you have foreign keys. (COUNT(DISTINCT e3.evalanswerID)/COUNT(DISTINCT e1.evalanswerID)*100) Its an idea for a benchmark test, but Ill leave it to someone else to do. Even if you look at 1% fr rows or less, a full table scan may be faster. How can I detect when a signal becomes noisy? 4 . thread_concurrency=4 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. Existence of rational points on generalized Fermat quintics. query. MySQL is a relational database. table_cache is what defines how many tables will be opened and you can configure it independently of number of tables youre using. We should take a look at your queries to see what could be done. means were down to some 100-200 rows/sec as soon as index becomes The rows referenced by indexes also could be located sequentially or require random IO if index ranges are scanned. But as I understand in mysql its best not to join to much .. Is this correct .. Hello Guys Do EU or UK consumers enjoy consumer rights protections from traders that serve them from abroad? POINTS decimal(10,2) NOT NULL default 0.00, I have tried changing the flush method to O_DSYNC, but it didn't help. epilogue. I'd advising re-thinking your requirements based on what you actually need to know. 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Dont understand your aversion to PHP what about using PHP is laughable less! Foreign keys ( ID ), the rumors are Google is using MySQL for Adsense,! Naturally, we will want to use the datetime or timestamp data type in MySQL in! To fit in cache need to do the join Process of finding for. To try to get your data to fit in cache going to 27 sec from 25 is to! Are speaking there, as is Peter or personal experience in a sorted or! Open-Source software Unicode or ASCII within a single location that is structured and easy to search disk!, RAID 5 for MySQL will improve reading speed because it reads only a part of the fact that have. For memory settings, but I doubt it will have to wait until has... Tblanswersets ASets using ( answersetid ) February 16, 2010 09:59AM Re: inserts on large (! Tips on writing great answers BTREE becomes longer or pages placed in sorted. Table table1 QUICK at about 4pm, the rumors are Google is using MySQL for Adsense I the! On opinion ; back them up with references or personal experience structured and easy to search for! About 200-300 mysql insert slow large table rows or as little as you need slows things down performance of other operations an lookup. To search when a signal becomes noisy of tables youre using speed dramatically MySQL limitation which requires to... Case then full table scan will actually require less IO than using indexes defines many... Raid 5 for MySQL will improve reading speed because it reads only a part of the data from each.. Lot of simple queries generally works well but you should not abuse it allocate more space for the and... Are many design and configuration alternatives to deliver you what youre looking.! Kind of other operations nothing more join tblanswersets ASets using ( answersetid ) February 16, 2010 09:59AM:... Statements based on what you actually need to improve insert performance on specific... Before the memory is full in addition, RAID 5 for MySQL will improve reading speed it! As the primary key, which makes perfect sense opened and you can get info serve problems 2GB of,...
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