How big is the MySQL database in rows?

How big is the MySQL database in rows?

Only two of these tables, namely, “transaction” and “shift” are quite large (the first one have 1.5 million rows and shift has 23k rows). Now everything works fine and I don’t have problem with the current database size.

How big can a MySQL database get before performance degrades?

Best data store for billions of rows — If you mean ‘Engine’, then InnoDB. How big can a MySQL database get before performance starts to degrade — Again, that depends on the queries. I can show you a 1K row table that will meltdown; I have worked with billion-row tables that hum along.

Why is MySQL could be slow with large tables?

Data retrieval, search, DSS, business intelligence applications which need to analyze a lot of rows run aggregates, etc., is when this problem is the most dramatic. Some joins are also better than others. For example, if you have a star join with dimension tables being small, it would not slow things down too much.

How many rows can MySQL process at a time?

Any significant joins to the tables were too time consuming and would take forever. So we wrote stored procedures to ‘walk’ the tables and process joins against ranges of ‘id’s. In this way we’d process the data 10-100,000 rows at a time (Join against id’s 1-100,000 then 100,001-200,000, etc).

How many rows in MySQL 5.1 ALTER TABLE?

I periodically need to make changes to tables in mysql 5.1, mostly adding columns. Very simple with the alter table command. But my tables have up to 40 million rows now and they are growing fast…

How to optimize MySQL for very large tables?

After that, you should switch your MyISAM tables to Innodb (it won’t go faster but it should eliminate most of the blocking) then you should increase the innodb_buffer_pool_size to around 80% of your available (possibly more) – however I’m rather surprised that you’ve got a machine with half a terrabyte of physical memory – really?

How to handle large volumes of data in MySQL?

If more complex, then RAID, SSD, batching, etc, may be necessary. deal with such volume of data — If most activity is with the “recent” rows, then the buffer_pool will nicely ‘cache’ the activity, thereby avoiding I/O. If the activity is “random”, then MySQL (or anyone else) will have I/O issues.

Can a MySQL database have more than one file?

1 SQLitedatabases are single files, though if you want MySQL, SQLite may not be as powerful or feature-rich as your requirements demand. – WiseguyJul 14 ’12 at 23:37

How to export large mysql table as multiple smaller files?

MySQLDumper is a tool developed especially to export / import large tables / DBs so it will have no problem with the situation you describe.

How are MySQL DBS stored in one file?

Long answer: it depends on the storage engine. All dbs managed by innodb storage engine are stored in one file. If you have 3 innodb dbs on the server, they all are going to be stored in one file. MYISAM storage engine stores each table of the db in two separate files: data and index.

How big is the transaction table in MySQL?

However, we will have a similar database (same datatypes, design ,..) but much larger, e.g., the “transaction” table will have about 1 billion records (about 2,3 million transaction per day) and we are thinking about how we should deal with such volume of data in MySQL? (it is both read and write intensive).

How to create a MySQL database for beginners?

The First step is to choose the purpose of the database and to make MySQL database design. As “learning” is already mentioned let’s create a simple database for students who will attend (database) courses. But, how to design MySQL database? Where to start? It’s certainly better (especially for beginners) to use MySQL visual database design…

How to reduce the size of ibdata1 in MySQL?

MySQL doesn’t reduce the size of ibdata1. Ever. Even if you use optimize table to free the space used from deleted records, it will reuse it later. An alternative is to configure the server to use innodb_file_per_table, but this will require a backup, drop database and restore.