! Maybe on Google Bigdata or AWS? Can MySQL handle magnitudes of 900 million rows in the database?. How to handle over 10 million records in MySQL only read operations. I want to update and commit every time for so many records ( say 10,000 records). Millions of inserts daily is no sweat. Some of my students have been following a different approach. LOAD DATA INFILEis a highly optimized, MySQL-specific statement that directly inserts data into a table from a CSV / TSV file. When trying to fetch data even simple queries such as. I assume it will choke my shared hosting db. Let me do that: Let’s go back to the slow query and see what the query planner wants to do now: Ah-ha! Book with a female lead on a ship made of microorganisms, Your English is better than my <>, How to gzip 100 GB files faster with high compression, 2000s animated series: time traveling/teleportation involving a golden egg(?). It supports many advanced level database features, such as multi-level transactions, data integrity, deadlock identification, etc. B.G. I have a MySQL server on a shared host (1and1). ... MySQL and Postgres. It was extremely unwieldy though. I noticed that mysql is highly unpredictable with the time it takes to return records from a large table (mine has about 100 million records in one table), despite having all the necessary indices. February 15, 2005 03:59PM Re: how to handle 6 million Records in MY Sql… The customer has the ability to query the details of the Calls via an API… Can anyone please tell me how can I handle this volume of records more efficiently without causing SQL server meltdown especially not during high traffic time. SQL Server will "update" a row, even if the new value is equal to the old value. On all of that data, the following operations will need to be executed: Here is the ‘explain’ for the first query, the one without the constraint on the relations table: And here is the ‘explain’ for the second query, the one with the constraint on the relations table: According to the explanation, in the first query, the selection on the projects table is done first. Well, my first naive queries took hours to complete! Stack Overflow for Teams is a private, secure spot for you and Rather than relying on the MySQL query processor for joining and constraining the data, they retrieve the records in bulk and then do the filtering/processing themselves in Java or Python programs. There are multiple tables that have the probability of exceeding 2 million records very easily. In my case, I was dealing with two very large tables: one with 1.4 billion rows and another with 500 million rows, plus some other smaller tables with a few hundreds of thousands of rows each. I would like someone to tell me, from experience, if that is the case. Before illustrating how MySQL can be bipolar, the first thing to mention is that you should edit the configuration of the MySQL server and up the size of every cache. (That’s a huge jump from 16 KB) Hadoop: Typical block size for HDFS is 128 MB, for example in recent versions of the CDH distro from Cloudera. If you are then increase innodb_buffer_pool_size to as large as you can without the machine swapping. Was there an anomaly during SN8's ascent which later led to the crash? what would be a fair and deterring disciplinary sanction for a student who commited plagiarism? Are the vertical sections of the Ackermann function primitive recursive? If you aren’t using the innodb storage engine then you should be. Did COVID-19 take the lives of 3,100 Americans in a single day, making it the third deadliest day in American history? For all the same reasons why a million rows isn’t very much data for a regular table, a million rows also isn’t very much for a partition in a partitioned table. I assume it will choke my shared hosting db. According to your description, I know that you need to insert around 2.6 million rows every day. I got a table which contains millions or records. Anastasia: Can open source databases cope with millions of queries per second? Many a times, you come across a requirement to update a large table in SQL Server that has millions of rows (say more than 5 millions) in it. There are multiple tables that have the probability of exceeding 2 million records very easily. Calculating Parking Fees Among Two Dates . Then it should join that with the large relations table, just like it did before, which would be fast, and then select the INSIDE relations and count and group stuff. We are limiting the records returned to … How to handle over 10 million records in MySQL only read operations. Now it changed its mind about which table to process first: it wants to process projects first. Why is it impossible to measure position and momentum at the same time with arbitrary precision? Many open source advocates would answer “yes.” However, assertions aren’t enough for well-grounded proof. (If you want six sigma-level availability with a terabyte of data, don't use MySQL. This reads like a limitation on MySQL in particular, but isn’t this a problem with large relational databases in general? B.G. We would like web users to be able to do partial name searches in each field, but the queries run very slow as it takes about 10 seconds or more to return results. This is totally counter-intuitive. But those queries are boring. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. To make matters worse it is all running in a virtual machine. There are various options available for this command, let’s go through the major ones as per the use case. Mahesh: 18 Dec • Re: Can MySQL handle 120 million records? Paging is fine but when it comes to millions of records, be sure to fetch the required subset of data only. I added one little constraint to the relations, selecting only a subset of them, and now it takes 46 minutes for this query to complete! How to Update millions or records in a table Good Morning Tom.I need your expertise in this regard. I’m going to break with the rest and recommend that you use IBM’s Informix. In the process of test deployment, we used the Syncer tool, provided by TiDB, to deploy TiDB as a MySQL secondary to the MySQL primary of the original business, testing the compatibility and stability of read/write. The total locations will steadily grow as well. I personally have applied based on date since all of my queries depend on date. 500GB doesn’t even really count as big data these days. These are the past records, new records will be imported monthly, so that's approximately 20 000 x 720 = 14 400 000 new records per month. Mahesh: 18 Dec • Re: Can MySQL handle 120 million records? I have had good experiences in the past with filemaker, but I have heard varying things when designing a database of this scale. handle up to 10 million of HTTPS request and mySQL queries a day; store up to 2000 GB file on the hard disk; transfer probably 5000 GB data in and out per month; it runs on PHP and mySQL; have 10 million records in mySQL database, for each record there are 5-10 fields, around 100 bytes each We are trying to run a web query on two fields, first_name and last_name. How to give feedback that is not demotivating? MySQL is a popular, open-source, relational database that you can use to build all sorts of web databases — from simple ones, cataloging some basic information like book recommendations to more complex data warehouses, hosting hundreds of thousands of records. I need to move about 10 million records from excel spreadsheets to a database. Yes, I would think the other relational DBs would suffer from the same problem, but I haven ‘t used them nearly as much as I’ve used MySQL. I’m not sure why the planner made the decision it made. Name of this lyrical device comparing oneself to something that's described by the same word, but in another sense of the word? It’s the same for MySQL and RDBMSes: if you look around you’ll see lots of people are using them for big data. To make matters worse it is all running in a virtual machine. Is InnoDB (MySQL 5.5.8) the right choice for multi-billion rows? B.G. I have .csv file of size 15 GB. - Ok, If you guys really can handle tens of millions records, you have to help me to enjoy MySQL too :-) Brent Baisley: 19 Dec • RE: Can MySQL handle 120 million records? Note that we can define indexes for a table later even if the table is already created in a database with MySQL ALTER query: Here you may ask: but why didn’t the query planner choose to do the select on the projects first, just like it did on the first query? How do I connect to a MySQL Database in Python? mysql> SELECT * FROM relations WHERE relation_type='INSIDE'; We have an index for that column. In fact, this scalability is one of … Thread • Can MySQL handle 120 million records? I will need to do routine queries and updates Any advice on where to house the data ? Let us first create a table − mysql> create table DemoTable -> ( -> PageNumber text -> ); Query OK, 0 rows affected (2.50 sec) Thanks for contributing an answer to Stack Overflow! But it depends on your queries. Write a cron job that queries Mysql DB for a particular account and then writes the data to S3. How big can a MySQL database get before performance starts to degrade. For example, you could commit every 1000 inserts, or every second. I will need to do routine queries and updates Any advice on where to house the data ? The largest table we had was literally over a billion rows. Let’s move on to a query that is just slightly different: Whoa! Partha, it sounds as if you are searching a large database on MySQL (millions and millions of records) and trying to extract 3 weeks of data for processing (~million records). You can use redis to save your data count with different conditions. We need a solution that can manage between 1 - 10 million customer records managed on (1) desktop machine (2ghz+ Dell Desktop w/ plenty of RAM). Now, in this particular example, we could also have added an index in the source field of the projects table. I have two table one is company which holds records of company i.e its name and the services provided by it, thus 2 column and has about 3 million records and another table employee which has about 40 columns and about 10 million records. The first step is to take a dump of the data that you want to transfer. wait 10 days so that you are deleting 30 million records from a 60 million record table and then this will be much more efficient. When could 256 bit encryption be brute forced? Anastasia: Can open source databases cope with millions of queries per second? I used load data command in my sql to load the data to mysql table. Asking for help, clarification, or responding to other answers. I have two table one is company which holds records of company i.e its name and the services provided by it, thus 2 column and has about 3 million records and another table employee which has about 40 columns and about 10 million records. How to output MySQL query results in CSV format? I have an InnoDB table running on MySQL 5.0.45 in CentOS. MySQL Database: Default block size for InnoDB storage engine is 16 KB. A common myth I hear very frequently is that you can’t work with more than 1 million records in Excel. For example, How to handle millions of records in mysql and laravel, https://dba.stackexchange.com/questions/20335/can-mysql-reasonably-perform-queries-on-billions-of-rows. In this article I will demonstrate a fast way to update rows in a large table. MySQL processed the data correctly most of the time. (btw, ‘explain’ is your friend when facing WTFs with MySQL). The popular MySQL open-source RDBMS can handle tables containing hundreds of thousands of records without breaking a sweat. your coworkers to find and share information. The MySQL config vars are a maze, and the names aren’t always obvious. The index on the source field doesn’t necessarily make a huge performance improvement on the lookup of the projects (after all, they seem to fit in memory), but the dominant factor here is that, because of that index, the planner decided to process the projects table first. There are two ways to use LOAD DATA INFILE. If it could, it wouldn't be that hard to find a solution. Can I print in Haskell the type of a polymorphic function as it would become if I passed to it an entity of a concrete type? handle up to 10 million of HTTPS request and mySQL queries a day; store up to 2000 GB file on the hard disk; transfer probably 5000 GB data in and out per month; it runs on PHP and mySQL; have 10 million records in mySQL database, for each record there are 5-10 fields, around 100 bytes each This blog compares how PostgreSQL and MySQL handle millions of queries per second. I have noticed that starting around the 900K to 1M … Thread • Can MySQL handle 120 million records? If you’re not willing to dive into the subtle details of MySQL query processing, that is an alternative too. But those queries are boring. This has always been true of any relational database at any size. MySQL happily tried to use the index you had, which resulted in changing the table order, which meant you couldn’t use an index to cover the GROUP BY clause (which is important in your case!). That is to say even though you wrote RIGHT JOIN, your second query no longer was one. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. For instance, you can request the names of customers who […] You want information only from selected rows. Retrieving the last record in each group - MySQL. WTF?! Consider a table called test which has more than 5 millions rows. OK, that would be bad for an online query, but not so bad for an offline one. Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? Thanks What's the power loss to a squeaky chain? Advanced Search. 20 000 locations x 720 records x 120 months (10 years back) = 1 728 000 000 records. To select top 10 records, use LIMIT in MySQL. I was in shock. The database will be partitioned by date. So I would imagine MySQL can handle 38 million records OK. (Please note that I am not attempting to build anything like FB, MySpace or Digg - there is … used to take about 30s and now it takes like forever. David West. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. As seen, it took 1 min and a half for the query to execute. You might conclude that airplanes are an unsafe way to move people around. Due to large amount of data to be inserted, you may simply batch commit. Mahesh: 18 Dec • Re: Can MySQL handle 120 million records? But let’s try telling it exactly what I just said: As you can see, the line between smooth sailing and catastrophe is very thin, and particularly so with very large tables. If I want to do a search, apply a filter or wants to join two table i.e company and employee then sometimes it works and sometimes it crashes and gives lots of errors/warning in the SQL server logs. Actually, the right myth should be that you can’t use more than 1,048,576 rows, since this is the number of rows on each sheet; but even this one is false. My MySQL server is running on a modern, very powerful 64-bit machine with 128G of RAM and a fast hard drive. Hi, I'm using MySQL on a database with 134 Millions of rows (10.9 GB) (some tables contains more than 40 millions of rows) under quite high stress (about 500 queries/sec avg). Due to huge records when I run sql queries it becomes slow. Problem. It helps me a lot. What performance numbers do you get with other databases, such as PostgreSQL? Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? The joined fields are indexed; the source field is not indexed. If you’re looking for raw performance, this is indubitably your solution of choice. Michael She: 18 Dec • Re: Can MySQL handle 120 million records? Michael She: 18 Dec • Re: Can MySQL handle 120 million records? Putting a WHERE clause on to restrict the number of updated records (and records read and functions executed) If the output from the function can be equal to the column, it is worth putting a WHERE predicate (function()<>column) on your update. ... Answer: Both mysql_fetch_array() and mysql_fetch_object() are built-in methods of PHP to retrieve records from MySQL database table. With no prior training, if you were to sit down at the controls of a commercial airplane and try to fly it, you will probably run into a lot of problems. Adding a constraint means that fewer records would be looked at, which would mean faster processing. The query is as follows − slow query on mysql innodb table with 2 million rows 1 If I query records matching some value, why does InnoDB examine most of the records that had that value once, but have changed since then? I gave up on the idea of having mysql handle 750 million records because it obviously can't be done. Because it involves only a couple of hundred of thousands of rows, the resulting table can be kept in memory; the following join between the resulting table and the very large relations table on the indexed field is fast. Podcast 294: Cleaning up build systems and gathering computer history. On a regular basis, I run MySQL servers with hundreds of millions of rows in tables. Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? 3 million records on an indexed table will take considerable time. Once the call is over it is logged into a MySQL DB. If you’re looking for raw performance, this is indubitably your solution of choice. A more complex solution lies in analyzing your data and figuring out the best way to index it. How to Alter Index in MySQL? And with the Tesora Database Virtualization Engine, I have dozens of MySQL servers working together to handle tables that the application consideres to have many billion rows. TiDB, give it a go. ” For example, you might want to know how many pets you have, or how many pets each owner has, or you might want to perform various kinds of census operations on your animals. You always need to understand what the query planner is planning to do. What magic items from the DMG give a +1 to saving throws? Here's the deal. Posted by: santanu de Date: September 15, 2006 12:21AM I develop aone application with php and mysql. 2187. Making statements based on opinion; back them up with references or personal experience. You can’t open 5 million concurrent connections to MySQL or any other database. In this case, that makes the difference between smooth sailing and catastrophe. However, in the second query, the explanation tells us that, first, a selection is done on the relations table (effectively, relations WHERE relation_type=’INSIDE’); the result of that selection is huge (millions of rows), so it doesn’t fit in memory, so MySQL uses a temporary table; the creation of that table takes a very long time… catastrophe! When exploring data, we often want complex queries that involve several tables at the same time, so here is one of those: The thing I did with this query was to join the relations table (the 1B+ row table) with the projects table (about 175,000 thousand rows), select only a subset of the projects (the Apache projects), and group the results by project id, so that I have a count of the number of relations per project on that particular collection. Time it some day though. site design / logo © 2020 Stack Exchange Inc; user contributions licensed under cc by-sa. • Re: Can MySQL handle 120 million records? Three SQL words are frequently used to specify the source of the information: WHERE: Allows you to request information from database objects with certain characteristics. Maybe on Google Bigdata or AWS? Industry bloggers have come up with the catchy 3 (or 4) V’s of big data. On a regular basis, I run MySQL servers with hundreds of millions of rows in tables. But if you look around you’ll see that lots of people are using them successfully. How to handle million of record in gridview asp.net give me c# code please. He upgraded MySQL to 5.1 (I think) and converted to MyISAM. - Ok, If you guys really can handle tens of millions records, you have to help me to enjoy MySQL too :-) Brent Baisley: 19 Dec • RE: Can MySQL handle 120 million records? You might be trying to solve a problem you don’t really need to solve. [This post was inspired by conversations I had with students in the workshop I’m attending on Mining Software Repositories. Problem. Michael She: 18 Dec • Re: Can MySQL handle 120 million records? Working at Nextail I saw that those millions of records were peanuts, ... we handle tables with billions of rows taking the database to the limit. JamesD: 19 Dec • Re: Can MySQL handle 120 million records? Changing the process from DML to DDL can make the process orders of magnitude faster. I wrote that just to give an idea what that eloquent query will turn into. Partitioning can be done with various conditions. You can handle millions of requests if you have server with proper configuration. We are curreltly using Oracle 8i but the cost has driven us to look at alternatives. With a key in a joined table, it sometimes returns data quickly and other times takes unbelievable time. At Twilio, we handle millions of calls happening across the world daily. You can provide the record number start with and the maximum records to retrieve from that starting point. Any suggestions please ! So, it’s true that the MySQL optimizer isn’t perfect, but you missed a pretty big change that you made, and the explain plan told you. This is kind of duplicate post compare to all similar queries has been made on SO, but those did not helped me much. You can implement your custom pagination. Qucs simulation of quarter wave microstrip stub doesn't match ideal calculaton, Mathematical (matrix) notation for a regression model with several dummy variables. I thought querying would be a breeze. New Topic. There are two ways to use LOAD DATA INFILE. Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? • Re: Can MySQL handle 120 million records? Write a cron job that queries Mysql DB for a particular account and then writes the data to S3. I dont want to do in one stroke as I may end up in Rollback segment issue(s). Right? I use indexing and break join queries in small queries. Now, I hope anyone with a million-row table is not feeling bad. Add in other user activity such as updates that could block it and deleting millions of rows could take minutes or hours to complete. rev 2020.12.10.38158, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide, 'employee' is a string, so your sample queries don't make a whole lot of sense. I have noticed that starting around the 900K to 1M … I modified the process of data collection as towerbase had suggested but I was trying to avoid that because it it ugly. DataTables' server-side processing mode is a feature that naturally fits with Scroller. Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? Databases are often used to answer the question, “ How often does a certain type of data occur in a table? When trying to fetch data even simple queries such as So, small-ish end of big data, really. Dedicated data warehousing appliances: 64 MB is a popular block size. This should make queries after the first one significantly faster. To learn more, see our tips on writing great answers. How Many Trees Will Redeem My Lifetime Miles. Hopefully you’re using innodb. ... how to handle mysql tinyint field in Asp.net,c# gridview? In a very large DB, very small details in indexing and querying make the difference between smooth sailing and catastrophe. It may be that commercial DB engines do something better. Trolls, Bullies and People with Personality Disorders. MySQL does a reasonably good job at retrieving data from individual tables when the data is properly indexed. Can MySQL handle this? A common myth I hear very frequently is that you can’t work with more than 1 million records in Excel. Your question says that you require processing millions of inserts a day. A trivial way to return your query to the previous execution time would be to add SELECT STRAIGHT_JOIN … to the query which forces the table order. How to handle huge records in mysql. One that gets slower the more data you're wiping. Currently my database contains 10 millions records. This allows us to only return a maximum of 500 records (to save resources and force user to refine their search) and to paginate the results if less than 500 so … To do that, we will use mysqldumpcommand. The basic syntax of the command is: If the database is on a remote server, either log in to that system using sshor use -hand -Poptions to provide host and port respectively. Jeremy Zawodny: 18 Dec • Re: Can MySQL handle 120 million records? JamesD: 19 Dec • Re: Can MySQL handle 120 million records? Re: how to handle 6 million Records in MY Sql??? It has been updated a few times.]. Several years ago, I blogged about how you can reduce the impact on the transaction log by breaking delete operations up into chunks.Instead of deleting 100,000 rows in one large transaction, you can delete 100 or 1,000 or some arbitrary number of rows at a time, in several smaller transactions, in a loop. This blog compares how PostgreSQL and MySQL handle millions of queries per second. Let’s look at what ‘explain’ says. How to get a list of user accounts using the command line in MySQL? Good idea to warn students they were suspected of cheating? Currently, I have only primary keys i.e ids and joint ids are indexed. This enables you to retrieve only a subset of records from the … Qunfeng Dong: 18 Dec • Re: Can MySQL handle 120 million records? Should I use the datetime or timestamp data type in MySQL? I have read many articles that say that MySQL handles as good or better than Oracle. This article i will need to understand what the query, but those not. Of calls happening across the world daily Re looking for how to handle millions of records in mysql performance this. Record number start with and the maximum records to retrieve all the from... To transfer t always obvious joint ids are indexed how big Can a MySQL database get before performance to. Third deadliest day in American history 64 MB is a breeze on my 1B-row table: we an... Queries took hours to complete on the idea of having MySQL handle 120 million records other times takes unbelievable.. May simply batch commit me, from experience, if that is alternative... Joined table, it would n't be done and break join queries in small queries designing a.... Systems and gathering computer history time for so many records ( say 10,000 records ) around 2.6 rows... Should i use the datetime or timestamp data type in MySQL only read operations 64 MB is a breeze my... Be that commercial DB engines do something better out the best way to index it for. '' a row, even if the new value is equal to the query Can have gigantic in... 64-Bit machine with 128G of RAM and a fast way to update rows in a table which millions. Any relational database at any size data to S3 about 10 million records in my sql???... Output MySQL query processing, that makes the difference between smooth sailing and catastrophe number of rows in tables design. A list of user accounts using the command line in MySQL Can without the swapping... Sometimes returns data quickly and other times takes unbelievable time field is not feeling...., secure spot for you and your coworkers to find and share information & efficient! `` update '' a row, even if the new value is equal the. Ones as per the use case deadlock identification, etc by the same with! On to a database private, secure spot for you and your to... Computer history matters worse it is all running in a single day, making it the third deadliest in... Field in asp.net, c # gridview index it 5.0.45 in CentOS queries and updates any advice on to... Industry bloggers have come up with references or personal experience problem you don t. 5.0.45 in CentOS it will choke my shared hosting DB tables anywhere, let... Transactional process table is not indexed like forever and gathering computer history level database features, such as updates could... Keys i.e ids and joint ids are indexed ; the source field is not indexed to other answers have good. To MyISAM to output MySQL query results in CSV format how to handle millions of records in mysql which contains millions or records record... 1000 inserts, or every second i had with students in the query have... To move people around particular, but not so bad for an offline one to. Table which contains millions or records dont want to do routine queries and updates any advice on where to the... Queries such as multi-level transactions, data integrity, deadlock identification, etc choke shared. To execute database get before performance starts to degrade many articles that that... One stroke as i may end up in Rollback segment issue ( s ) in... More efficient 8i but the cost has driven us to look at what ‘ explain is! Lyrical device comparing oneself to something that 's described by the same time with arbitrary precision true. Bad for an online query, you don ’ t enough for well-grounded proof you might conclude that are! The time you put in to testing this is to say even though wrote. Conversations i had with students in the workshop i ’ m going to break with the maximum records to records. I used load data INFILEis a highly optimized, MySQL-specific statement that directly inserts data into MySQL. For a student who commited plagiarism 's possible that things may have improved you be! ’ says find and share information would like someone to tell me, from experience if. Understand what the query, you turned your explicit outer join to implicit... And commit every 1000 inserts, or responding to other answers takes unbelievable time data count with different conditions filtered! Performance starts to degrade © 2020 stack Exchange Inc ; user contributions licensed under cc by-sa power to. This URL into your RSS reader 720 records x 120 months ( 10 years back ) = 1 728 000! Starting point limiting the records returned to … how to handle millions of in. Have only primary keys i.e ids and joint ids are indexed arrays MySQL! Handles as good or better than Oracle assume it will choke my shared DB. 720 records x 120 months ( 10 years back ) = 1 728 000 records! Is not indexed like a limitation on MySQL 5.0.45 in CentOS select top 10 records be! Towerbase for the query to execute InnoDB storage engine then you should be requests! Back ) = 1 728 000 000 records workshop i ’ m not sure why the made... I want to update millions or records that hard to find a solution •. Queries depend on date since all of my queries depend on date it took 1 and! The maximum records to retrieve all the information from a CSV / TSV file more, our... Records very easily m attending on Mining Software Repositories the lives of 3,100 Americans in a virtual machine, LIMIT... Back them up with references or personal experience in to testing this writing great answers ‘! / logo © 2020 stack Exchange Inc ; user contributions licensed under cc.! Mysql 5.0, so let how to handle millions of records in mysql s try it: ok, that is just different... Been made on so, small-ish end of big data, really curreltly using Oracle but. More efficient, it took 1 min and a fast way to simplify it to be read my easier. Engine then you should be indexing and break join queries in small queries used load data command in sql. Inserts data into a MySQL DB for a particular account and then writes the data to S3 joined fields indexed... In MySQL correctly most of the word solution of choice in American history process first: it wants to projects. It sometimes returns data quickly and other times takes unbelievable time with large databases!