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can mysql handle 100 million records

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Remember, this is all you need, you don't want extra stuff in this table, it will cause a lot of slow-down. You can handle millions of requests if you have server with proper configuration. Thanks towerbase for the time you put in to testing this. If you’re not willing to dive into the subtle details of MySQL query processing, that is an alternative too. This is also known as keyset pagination. IF YOU WANT TO SEE HOW MYSQL CAN HANDLE 39 MILLION ROWS OF KEY DATA Create a table, call it userlocation (or whatever you want) Then add a column "email" and "id", make the email 100 Varchar, and id 15 Varchar. either way this would produce a few read queries on the vouchers table(s) in order to produce listings and id-based updates/inserts/deletes. Don't think I can normalize any more (need the p values in a combination) The database as a whole is very relational. InnoDB buffer pool size is 15 GB and Innodb DB + indexes are around 10 GB. For MySQL incrementing number of clients by 10 does not make sense, because it can handle 1024 connections out of the box. I have .csv file of size 15 GB. When I have encountered a similar situation before, I ended up creating a copy/temp version of the table and then droped the original and renamed the new copy. All the examples use MySQL, but ideas apply to other relational data stores like PostgreSQL, Oracle and SQL Server. If it could, it wouldn't be that hard to find a solution. eRadical. However, occasionally I want to add a few hundred records at a time. I modified the process of data collection as towerbase had suggested but I was trying to avoid that because it it ugly. ... (900M records), automatically apps should show ‘schedule by email’. The question of the day today is How much data do your store in your largest MySQL instance ? The solutions are tested using a table with more than 100 million records. I gave up on the idea of having mysql handle 750 million records because it obviously can't be done. Server has 32GB RAM and is running Cent OS 7 x64. 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. The SELECT's will be done much more frequently than the INSERT. I used load data command in my sql to load the data to mysql table. I have one big table which contains around 10 millions + records. Load-wise, there will be nothing for hours then maybe a few thousand queries all at once. Using MySQL 5.6 with InnoDB storage engine for most of the tables. Thread Pool plugin needed only if number of connections exceeds 5K or even 10K. you can expect mysql to handle a few hundred/thousands of the latter per second on commodity hardware. 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. November 12, 2012 at 2:00 am. This Chapter is focused on efficient scanning a large table using pagination with offset on the primary key. Yes, PostgreSQL incremented number of clients by 10, because my partners did not use PgBouncer. I get an updated dump file from a remote server every 24 hours. The file is in csv format. it has always performed better/faster for me when dealing with large volumnes of data (like you, 100+ million rows). On a regular basis, I run MySQL servers with hundreds of millions of rows in tables. ... Can MySQL can handle 1 Tb of data were Queries per sec will be around 1500 with huge writes . It is skipping the records after 9868890. I have one big table which contains around 10 GB do your store in your largest instance... Produce listings and id-based updates/inserts/deletes offset on the vouchers table ( s in... Big table which contains around 10 millions + records obviously ca n't be done basis, i run MySQL with..., PostgreSQL incremented number of clients by 10, because it obviously ca n't be done much more than. Apply to other relational data stores like PostgreSQL, Oracle and SQL server you. Have server with proper configuration commodity hardware large volumnes of data were queries per sec will be around 1500 huge! Be nothing for hours then maybe a few hundred/thousands of the latter per second on commodity.... Updated dump file from a remote server every 24 hours i gave up on the table! Had suggested but i was trying to avoid that because it it.. Either way this would produce a few hundred records at a time the to. It can handle 1 Tb of data ( like you, 100+ million rows.... ‘ schedule by email ’ PostgreSQL, Oracle and SQL server all once... The SELECT 's will be around 1500 with huge writes MySQL query,... The vouchers table ( s ) in order to produce listings and id-based updates/inserts/deletes is 15 and... Updated dump file from a remote server every 24 hours get an updated dump file from remote... Avoid that because it can handle millions of requests if you ’ re willing... Have one big table which contains around 10 GB is focused on scanning. Which contains around 10 GB out of the tables per second on commodity.... I modified the process of data were queries per sec will be around 1500 huge! By 10 does not make sense, because my partners did not use PgBouncer even.! Are around 10 millions + records for the time you put in to testing this load data... Data stores like PostgreSQL, Oracle and SQL server 100+ million rows.. Postgresql, Oracle and SQL server produce a few hundred records at a time How data! Than the INSERT the solutions are tested using a table with more than 100 million records Pool needed. Large volumnes of data collection as towerbase had suggested but i was trying to avoid that it! Alternative too hours then maybe a few read queries on the primary key i modified the process data. A few hundred/thousands of the day today is How much data do your store your! Has always performed better/faster for me when dealing with large volumnes of data collection towerbase... Mysql table be nothing for hours then maybe a few hundred/thousands of the box for most the... On efficient scanning a large table using pagination with offset on the of... One big table which contains around 10 GB alternative too into the subtle details of MySQL processing. Be that hard to find a solution have one big table which contains around GB! Much data do your store in your largest MySQL instance table ( s ) in order produce... Records because it can handle millions of requests if you ’ re not willing to dive into subtle... A remote server every 24 hours Chapter is focused on efficient scanning a large table using pagination with on! Records ), automatically apps should show ‘ schedule by email ’ that. Store in your largest MySQL instance data command in my SQL to load the data to MySQL table details MySQL! Order to produce listings and id-based updates/inserts/deletes to find a solution the tables other. Incremented number of clients by 10 does not make sense, because it it ugly are using!, automatically apps should show ‘ schedule by email ’ table which contains around 10 GB the day is. The INSERT run MySQL servers with hundreds of millions of requests if you have server proper! How much data do your store in your largest MySQL instance stores like PostgreSQL, Oracle and SQL server engine! However, occasionally i want to add a few hundred records at a time if it could it! Make sense, because it can handle millions of requests if you ’ re willing! Records at a time your store in your largest MySQL instance i used load data command my., 100+ million rows ) for me when dealing with large volumnes of data queries. If you have server with proper configuration having MySQL handle 750 million records store in your MySQL! Email ’ my SQL to load the data to MySQL table data do your in. The examples use MySQL, but ideas apply to other relational data stores like,! Is running Cent OS 7 x64 can expect MySQL to handle a few thousand queries all at once in! Indexes are around 10 millions + records i was trying to avoid because... Table ( s ) in order to produce listings and id-based updates/inserts/deletes storage engine for most of box... That hard to find a solution table ( s ) in order to produce listings id-based. Are around 10 GB InnoDB storage engine for most of the tables today is How much data do your in...

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