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Search Results for: large data insert performance

Storing time-series data with MongoDB and TokuMX

Storing time-series data is a frequent pattern for databases – be it for logs or for any kind of monitoring. Such data has the following properties: records are inserted but also never updated, the insertion …

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Mo’ Data, Mo’ Problems

Welcome to blog #2 in a series about the benefits of the Fractal Tree. In this post, I’ll be explaining Big Data, why it poses such a problem and how Tokutek can help. Given the …

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MySQL performance implications of InnoDB isolation modes

Over the past few months I’ve written a couple of posts about dangerous debt of InnoDB Transactional History and about the fact MVCC can be the cause of severe MySQL performance issues. In this post …

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Sysbench Benchmarking of Tesora’s Database Virtualization Engine

Tesora, previously called Parelastic, asked Percona to do a sysbench benchmark evaluation of its Database Virtualization Engine on specific architectures on Amazon EC2. The focus of Tesora is to provide a scalable Database As A …

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Understanding the Performance Characteristics of Partitioned Collections

In TokuMX 1.5 that is right around the corner, the big feature will be partitioned collections. This feature is similar to partitioned tables in Oracle, MySQL, SQL Server, and Postgres. A question many have is …

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Using InfiniDB MySQL server with Hadoop cluster for data analytics

In my previous post about Hadoop and Impala I benchmarked performance of analytical queries in Impala. This time I’ve tried InfiniDB for Hadoop (open-source version) on the modern hardware with an 8-node Hadoop cluster. One of the main advantages (at …

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Using Apache Hadoop and Impala together with MySQL for data analysis

Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how …

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Don’t worry about embedding large arrays in your MongoDB documents

In this post, I’d like to discuss some performance problems recently mentioned about MongoDB’s embedded arrays, and how TokuMX avoids these problems and delivers more consistent performance for MongoDB applications. In “Why shouldn’t I embed …

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TokuMX vs. MongoDB : Sharding Balancer Performance

I have always believed that TokuMX’s Fractal Tree indexes are an ideal fit for MongoDB’s sharding model, especially when it comes time for balancing to occur. At a very high level, balancing is needed when …

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The Effects of Database Heap Storage Choices in MongoDB

William Zola over at MongoDB gave a great talk called “The (Only) Three Reasons for Slow MongoDB Performance”. It reminded me of an interesting characteristic of updates in MongoDB. Because MongoDB’s main data store is …

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