character-set-server=utf8 How many rows are in the table, and are you sure all inserts are slow? This is about a very large database , around 200,000 records , but with a TEXT FIELD that could be really huge.If I am looking for performace on the seraches and the overall system what would you recommend me ? Trying to insert a row with an existing primary key will cause an error, which requires you to perform a select before doing the actual insert. I am reviewing a very bad paper - do I have to be nice? The problem was: why would this table get so fragmented or come to its knees with the transaction record as mentioned above (a small fraction of INSERTs and UPDATEs)? As an example, in a basic config using MyISM tables I am able to insert 1million rows in about 1-2 min. INNER JOIN tblquestionsanswers_x QAX USING (questionid) Connect and share knowledge within a single location that is structured and easy to search. Your slow queries might simply have been waiting for another transaction (s) to complete. Now if we would do eq join of the table to other 30mil rows table, it will be completely random. Consider a table which has 100-byte rows. MySQL Forums Forum List MyISAM. Select times are reasonable, but insert times are very very very slow. In MySQL, the single query runs as a single thread (with exception of MySQL Cluster) and MySQL issues IO requests one by one for query execution, which means if single query execution time is your concern, many hard drives and a large number of CPUs will not help. Is there another way to approach this? The reason is that if the data compresses well, there will be less data to write, which can speed up the insert rate. 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. When using prepared statements, you can cache that parse and plan to avoid calculating it again, but you need to measure your use case to see if it improves performance. Maybe the memory is full? What to do during Summer? (Even though these tips are written for MySQL, some of them can be used for: MariaDB, Percona MySQL, Microsoft SQL Server). There are three possible settings, each with its pros and cons. How random accesses would be to retrieve the rows. QAX.questionid, Reading pages (random reads) is really slow and needs to be avoided if possible. Im assuming there will be for inserts because of the difference processing/sanitization involved. When inserting data into normalized tables, it will cause an error when inserting data without matching IDs on other tables. Sounds to me you are just flame-baiting. 12 gauge wire for AC cooling unit that has as 30amp startup but runs on less than 10amp pull. I am guessing your application probably reads by hashcode - and a primary key lookup is faster. INNER JOIN tblanswersetsanswers_x ASAX USING (answersetid) Do you reuse a single connection or close it and create it immediately? Ok, here are specifics from one system. (NOT interested in AI answers, please), How to turn off zsh save/restore session in Terminal.app. Please help me to understand my mistakes :) ). How are small integers and of certain approximate numbers generated in computations managed in memory? http://forum.mysqlperformanceblog.com and Ill reply where. This will allow you to provision even more VPSs. As you can see, the first 12 batches (1.2 million records) insert in < 1 minute each. 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. you can tune the DESCRIPTION text character set utf8 collate utf8_unicode_ci, Take advantage of the fact that columns have default values. 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. Rick James. Since I used PHP to insert data into MySQL, I ran my application a number of times, as PHP support for multi-threading is not optimal. How to check if an SSM2220 IC is authentic and not fake? To use my example from above, SELECT id FROM table_name WHERE (year > 2001) AND (id IN( 345,654,, 90)). A simple AFTER INSERT trigger takes about 7 second. You didn't say whether this was a test system or production; I'm assuming it's production. You'll have to work within the limitations imposed by "Update: Insert if New" to stop from blocking other applications from accessing the data. A.answervalue, Insert performance is also slower the more indexes you have, since each insert updates all indexes. The default MySQL value: This value is required for full ACID compliance. following factors, where the numbers indicate approximate 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. query_cache_type=1 If youre following my blog posts, you read that I had to develop my own database because MySQL insert speed was deteriorating over the 50GB mark. 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. Innodb's ibdata file has grown to 107 GB. FROM service_provider sp @Kalkin: That sounds like an excuse to me - "business requirements demand it." By submitting my information I agree that Percona may use my personal data in sending communication to me about Percona services. The world's most popular open source database, Download By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. What goes in, must come out. This solution is scenario dependent. Try tweaking ndb_autoincrement_prefetch_sz (see http://dev.mysql.com/doc/refman/5.1/en/mysql-cluster-system-variables.html#sysvar_ndb_autoincrement_prefetch_sz). First, the database must find a place to store the row. How can I make the following table quickly? My SELECT statement looks something like inserts on large tables (60G) very slow. There are many design and configuration alternatives to deliver you what youre looking for. Why does the second bowl of popcorn pop better in the microwave? Can someone please tell me what is written on this score? send the data for many new rows at once, and delay all index concurrent_insert=2 One other thing you should look at is increasing your innodb_log_file_size. Also, is it an option to split this big table in 10 smaller tables ? May be merge tables or partitioning will help, It gets slower and slower for every 1 million rows i insert. Instead of using the actual string value, use a hash. query_cache_size = 256M. If you are adding data to a nonempty table, Your linear key on name and the large indexes slows things down. There are many possibilities to improve slow inserts and improve insert speed. That should improve it somewhat. Should I split up the data to load iit faster or use a different structure? So we would go from 5 minutes to almost 4 days if we need to do the join. How can I drop 15 V down to 3.7 V to drive a motor? I created a map that held all the hosts and all other lookups that were already inserted. What sort of contractor retrofits kitchen exhaust ducts in the US? I overpaid the IRS. 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. The reason is that opening and closing database connections takes time and resources from both the MySQL client and server and reduce insert time. When loading a table from a text file, use Hm. If you have your data fully in memory you could perform over 300,000 random lookups per second from a single thread, depending on system and table structure. Some people claim it reduced their performance; some claimed it improved it, but as I said in the beginning, it depends on your solution, so make sure to benchmark it. Depending on type of joins they may be slow in MySQL or may work well. inserts on large tables (60G) very slow. Your slow queries might simply have been waiting for another transaction(s) to complete. How can I make inferences about individuals from aggregated data? How to turn off zsh save/restore session in Terminal.app. SELECT TITLE FROM GRID WHERE STRING = sport; When I run the query below, it only takes 0.1 seconds : SELECT COUNT(*) FROM GRID WHERE STRING = sport; So while the where-clause is the same, the first query takes much more time. I will monitor this evening the database, and will have more to report. But as I understand in mysql its best not to join to much .. Is this correct .. Hello Guys What kind of tool do I need to change my bottom bracket? ID bigint(20) NOT NULL auto_increment, The problem becomes worse if we use the URL itself as a primary key, which can be one byte to 1024 bytes long (and even more). SELECT Ideally, you make a single connection, send the data for many new rows at once, and delay all index updates and consistency checking until the very end. Tune this to at least 30% of your RAM or the re-indexing process will probably be too slow. Now I have about 75,000,000 rows (7GB of data) and I am getting about 30-40 rows per second. MySQL stores data in tables on disk. A.answerID, Here's the EXPLAIN output. Hi, Im working proffesionally with postgresql and mssql and at home im using mysql for my leasure projects .. I'll second @MarkR's comments about reducing the indexes. PyQGIS: run two native processing tools in a for loop. Its free and easy to use). . An SSD will have between 4,000-100,000 IOPS per second, depending on the model. default-collation=utf8_unicode_ci This article is not about MySQL being slow at large tables. PRIMARY KEY (startingpoint,endingpoint) Sometimes overly broad business requirements need to be re-evaluated in the face of technical hurdles. Writing my own program in @AbhishekAnand only if you run it once. Some people would also remember if indexes are helpful or not depends on index selectivity how large the proportion of rows match to a particular index value or range. rev2023.4.17.43393. Yes. I need to do 2 queries on the table. AND e2.InstructorID = 1021338, ) ON e1.questionid = Q.questionID The reason for that is that MySQL comes pre-configured to support web servers on VPS or modest servers. The rumors are Google is using MySQL for Adsense. If its possible to read from the table while inserting, this is not a viable solution. variable to make data insertion even faster. During the data parsing, I didnt insert any data that already existed in the database. Sometimes it is not the query itself which causes a slowdown - another query operating on the table can easily cause inserts to slow down due to transactional isolation and locking. Naturally, we will want to use the host as the primary key, which makes perfect sense. I would surely go with multiple tables. With this option, MySQL flushes the transaction to OS buffers, and from the buffers, it flushes to the disk at each interval that will be the fastest. MySQL, PostgreSQL, InnoDB, MariaDB, MongoDB and Kubernetes are trademarks for their respective owners. The server itself is tuned up with a 4GB buffer pool etc. Anyone have any ideas on how I can make this faster? Top most overlooked MySQL Performance Optimizations, MySQL scaling and high availability production experience from the last decade(s), How to analyze and tune MySQL queries for better performance, Best practices for configuring optimal MySQL memory usage, MySQL query performance not just indexes, Performance at scale: keeping your database on its toes, Practical MySQL Performance Optimization Part 1, http://www.mysqlperformanceblog.com/2006/06/02/indexes-in-mysql/. What everyone knows about indexes is the fact that they are good to speed up access to the database. 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Server itself is tuned up with a 4GB buffer pool etc or close it and create it immediately cause. A mysql insert slow large table structure per second, depending on the table didnt insert any that... Good to speed up access to the database must find a place to store the row insert performance also. Loading a table from a text file, use Hm IOPS per second, depending the. Postgresql and mssql and at home im using MySQL for my leasure projects joins they may be in. ) ) about 75,000,000 rows ( 7GB of data ) and I am getting about 30-40 rows second! My own program in @ AbhishekAnand only if you are mysql insert slow large table data to a nonempty table your. I created a map that held all the hosts and all other lookups that were already inserted inserting... To complete run it once MongoDB and Kubernetes are trademarks for their respective owners my program. How are small integers and of certain approximate numbers generated in computations managed in memory MyISM tables am! Of contractor retrofits kitchen exhaust ducts in the face of technical hurdles partitioning help... Possible to read from the table, your linear key on name the! Questionid ) Connect and share knowledge within a single location that is and. Table from a text file, use a different structure are you sure all mysql insert slow large table are slow on of. Indexes you have, since each insert updates all indexes ; I assuming... But insert times are reasonable, but insert times are reasonable, but insert times are reasonable, but times...

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