Posted by: shaik abdul ghouse ahmed Date: February 04, 2010 05:53AM Hi, Hi, We have an appliction, java based, web based gateway, with backend as mssql, It is for a manufacturing application, with 150+ real time data points to be logged every second. Loading half a billion rows into MySQL Background. Then we adopted the solution of MySQL sharding and Master High Availability Manager , but this solution was undesirable when 100 billion new records flooded into our database each month. Each "location" entry is stored as a single row in a table. Previously, we used MySQL to store OSS metadata. It's pretty fast. Every time someone would hit a button to view audit logs in our application, our mysql service would have to churn through 1billion rows on a single large table. Look at your data; compute raw rows per second. Posted by: daofeng luo Date: November 26, 2004 01:13AM Hi, I am a web adminstrator. Let us first create a table− mysql> create table DemoTable ( Value BIGINT ); Query OK, 0 rows affected (0.74 sec) We have a legacy system in our production environment that keeps track of when a user takes an action on Causes.com (joins a Cause, recruits a friend, etc). From your experience, what's the upper limit of rows in a MyISAM table can MySQL handle efficiently on a server with Q9650 CPU (4-core, 3.0G) and 8G RAM. Right now there are approximately 12 million rows in the location table, and things are getting slow now, as a full table scan can take ~3-4 minutes on my limited hardware. Now, I hope anyone with a million-row table is not feeling bad. We faced severe challenges in storing unprecedented amounts of data that kept soaring. There are about 30M seconds in a year; 86,400 seconds per day. can mysql table exceed 42 billion rows? 10 rows per second is about all you can expect from an ordinary machine (after allowing for various overheads). On the disk, it amounted to about half a terabyte. I say legacy, but I really mean a prematurely-optimized system that I’d like to make less smart. I store the logs in 10 tables per day, and create merge table on log tables when needed. Requests to view audit logs would… Before using TiDB, we managed our business data on standalone MySQL. A user's phone sends its location to the server and it is stored in a MySQL database. But as the metadata grew rapidly, standalone MySQL couldn't meet our storage requirements. As data volume surged, the standalone MySQL system wasn't enough. Inserting 30 rows per second becomes a billion rows per year. You can still use them quite well as part of big data analytics, just in the appropriate context. If the scale increases to 1 billion rows, do I need to partition it into 10 tables with 100 million rows … Even Faster: Loading Half a Billion Rows in MySQL Revisited A few months ago, I wrote a post on loading 500 million rows into a single innoDB table from flatfiles. I received about 100 million visiting logs everyday. Storage. 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. Several possibilities come to mind: 1) indexing strategy 2) efficient queries 3) resource configuration 4) database design First - Perhaps your indexing strategy can be improved. MYSQL and 4 Billion Rows. In the future, we expect to hit 100 billion or even 1 trillion rows. I currently have a table with 15 million rows. 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