Using MySQL 5.6 with InnoDB storage engine for most of the tables. The question of the day today is How much data do your store in your largest MySQL instance ? 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. I have .csv file of size 15 GB. 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. However, occasionally I want to add a few hundred records at a time. I have one big table which contains around 10 millions + records. You can handle millions of requests if you have server with proper configuration. The file is in csv format. November 12, 2012 at 2:00 am. ... Can MySQL can handle 1 Tb of data were Queries per sec will be around 1500 with huge writes . Yes, PostgreSQL incremented number of clients by 10, because my partners did not use PgBouncer. It is skipping the records after 9868890. For MySQL incrementing number of clients by 10 does not make sense, because it can handle 1024 connections out of the box. This Chapter is focused on efficient scanning a large table using pagination with offset on the primary key. Server has 32GB RAM and is running Cent OS 7 x64. 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. ... (900M records), automatically apps should show ‘schedule by email’. All the examples use MySQL, but ideas apply to other relational data stores like PostgreSQL, Oracle and SQL Server. This is also known as keyset pagination. If you’re not willing to dive into the subtle details of MySQL query processing, that is an alternative too. If it could, it wouldn't be that hard to find a solution. On a regular basis, I run MySQL servers with hundreds of millions of rows in tables. I modified the process of data collection as towerbase had suggested but I was trying to avoid that because it it ugly. Thread Pool plugin needed only if number of connections exceeds 5K or even 10K. The SELECT's will be done much more frequently than the INSERT. it has always performed better/faster for me when dealing with large volumnes of data (like you, 100+ million rows). Load-wise, there will be nothing for hours then maybe a few thousand queries all at once. you can expect mysql to handle a few hundred/thousands of the latter per second on commodity hardware. Thanks towerbase for the time you put in to testing this. I used load data command in my sql to load the data to mysql table. I get an updated dump file from a remote server every 24 hours. 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. Don't think I can normalize any more (need the p values in a combination) The database as a whole is very relational. 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. Remember, this is all you need, you don't want extra stuff in this table, it will cause a lot of slow-down. 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. eRadical. InnoDB buffer pool size is 15 GB and Innodb DB + indexes are around 10 GB. Trying to avoid that because it can handle 1 Tb of data ( like you, 100+ million )... Not make sense, because it obviously ca n't be that hard find. 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