Which is the fastest way to do a query in MySQL?

Which is the fastest way to do a query in MySQL?

This is by far the fastest way. We use this way now since 1998 and had never any wrong number of rows, in all our multi million record tables. You should perform a query for each type, but perhaps that’s faster than the other way. Give it a try.

How long does it take to select a million rows?

Selecting a million rows took 176 ms. That’s on a 5 year old x230 with a “Intel(R) Core(TM) i5-3230M CPU @ 2.60GHz”and a single SSD. You can pick one up for a few hundred bucks and install Xubuntu it. Not exactly hard science either.

How to effectively handle 100 million row table?

Effectively handle 10-100 millions row table of unrelated data Ask Question Asked3 years, 9 months ago Active2 years, 3 months ago Viewed33k times 12 7 What are the common approaches to boost read/write performance of table with up to 100 millions of rows?

How big of a database can MySQL handle?

Can Mysql handle tables which will hold about 300 million records? — again, yes. The limit is somewhere around a trillion rows. (for innoDB tables which is my case) increasing the innodb_buffer_pool_size (e.g., up to 80% of RAM). Also, I found some other MySQL performance tunning settings here in percona blog — yes

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.

Which is the best MySQL engine for multi-billion rows?

Is InnoDB (MySQL 5.5.8) the right choice for multi-billion rows? — 5.7 has some improvements, but 5.5 is pretty good, in spite of being nearly 6 8 years old, and on the verge of no longer being supported. Best data store for billions of rows — If you mean ‘Engine’, then InnoDB.

How many rows can mysql query at a time?

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). This was significantly faster than joining against the entire table. Using indexes on very large tables that aren’t based on the primary key is also much more difficult.

How big is the largest MySQL database ever?

If you do absolutely need in-SQL access to individual datapoints ensure you reduce the size of each row to the bare minimum number of fields and the smallest datatype possible. The largest MySQL I’ve ever personally managed was ~100 million rows.

Can a database reasonably perform queries on billions of rows?

The short answer is a qualified yes — as the number of rows grows the precise schema, datatypes and operations you choose grows in importance. How much you normalize your data depends on the operations you plan to perform on the stored data.

How to get a fast table count in MySQL?

If your table does not change often, using the MySQL query cache is a good solution. To get a fast count, you have to use a counter table you create yourself and let your application update it according to the inserts and deletes it does. If an approximate row count is sufficient, SHOW TABLE STATUS can be used.

Which is faster, MySQL or TMP table?

It may be faster than delivering the rows to the client; it will have to collect the rows internally in a tmp table, but deliver only the COUNT. A side note: 640K rows inserted per day — this approaches the limit for single-row INSERTs in MySQL with your current settings on a HDD (not SDD).

How many rows can I insert per day in MySQL?

A side note: 640K rows inserted per day — this approaches the limit for single-row INSERTs in MySQL with your current settings on a HDD (not SDD). If you need to discuss the potential disaster, open another Question. Run any timing query twice; use the second time.