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Search Results for: mysql deletes large data

Want to archive tables? Use Percona Toolkit’s pt-archiver

Percona Toolkit’s pt-archiver is one of the best utilities to archive the records from large tables to another tables or files. One interesting thing is that pt-archiver is a read-write tool. It deletes data from the …

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TokuMX: Fractal Trees with MongoDB

Over several blog posts, Tim has presented performance results on large data sets of TokuMX, our MongoDB product with fractal tree indexes integrated, side by side with MongoDB. Results look good. We’ve shown improved throughput …

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Moving Subtrees in Closure Table Hierarchies

Many software developers find they need to store hierarchical data, such as threaded comments, personnel org charts, or nested bill-of-materials. Sometimes it’s tricky to do this in SQL and still run efficient queries against the …

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TokuDB FAQ

by:

Links to the FAQ Sections can be found here: General Information Open Source Technical Details Best Practices and Tools General Information ANY CHARACTER HERE 1.    What is TokuDB? TokuDB is an ACID compliant storage engine for …

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Making “Insert Ignore” Fast, by Avoiding Disk Seeks

In my post from three weeks ago, I explained why the semantics of normal ad-hoc insertions with a primary key are expensive because they require disk seeks on large data sets. Towards the end of …

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Making “Replace Into” Fast, by Avoiding Disk Seeks

In this post two weeks ago, I explained why the semantics of normal ad-hoc insertions with a primary key are expensive because they require disk seeks on large data sets. Towards the end of the …

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Making Deletions Fast, by Avoiding Disk Seeks

In my last post, I discussed how fractal tree data structures can be up to two orders of magnitude faster on deletions over B-trees. I focused on the deletions where the row entry is known …

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Disk seeks are evil, so let’s avoid them, pt. 3 (Deletions)

As mentioned in parts 1 and 2, having many disk seeks are bad (they slow down performance). Fractal tree data structures minimize disk seeks on ad-hoc insertions, whereas B-trees practically guarantee that disk seeks are …

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How clustering indexes sometimes help UPDATE and DELETE performance

I recently posted a blog entry on clustering indexes, which are good for speeding up queries. Eric Day brought up the concern that clustering indexes might degrade update performance. This is often true, since any …

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Improving TPC-H-like Queries – Q2

Posted by Bradley C. Kuszmaul and David Wells Executive Summary: A MySQL straight join can speed up a query that is very similar to TPC-H Q2 by a factor of 159 on MySQL. Recently, we …

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