Published by John Potocny and Ewen Fortune on Jun 23, 2017 6:08:47 PM

Deciding Which Storage Engine is Right for You: MMAPv1

In a recent article, we began an examination of MongoDB storage engines by explaining why WiredTiger is the current default engine. In this piece, we'll continue discussing storage engines and start to look at the specific characteristics of other available options, beginning with MMAPv1, to help readers understand which one is right for their system and workloads.

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Published by John Potocny and Ewen Fortune on Jun 19, 2017 5:51:49 PM

When to Use explain() in MongoDB

In MongoDB, the command db.collection.explain() is an important operation that can help you understand exactly how your queries execute and behave. Once you have a grasp of how MongoDB handles explain(), using it lets you examine queries in a number of ways.

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Published by John Potocny and Ewen Fortune on Jun 14, 2017 11:43:05 AM

Why WiredTiger is the Default MongoDB Storage Engine

Last week, when we published our blog post about working-sets in MongoDB, one of our colleagues told us that he'd been aware that MMAPv1 had previously been MongoDB's default storage engine, but he didn't know why WiredTiger had since taken its place. We saw this as an opportunity to write a follow-up post to explain some of the contrasts between the two and explore the advantages of WiredTiger, which (we think) led MongoDB to making it the system's default storage engine.

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Published by Baron Schwartz on Feb 10, 2017 4:42:00 PM

JSON Support in PostgreSQL, MySQL, MongoDB, and SQL Server

If you've been watching the evolution of database technologies over the past few years, you've seen how quickly JSON has quickly cemented its position in major database servers. Due to its use in the web front-end, JSON has overtaken XML in APIs, and it’s spread through all the layers in the stack one step at a time.

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Published by Alex Slotnick on Dec 22, 2016 4:13:19 PM

Mystery: Constant Query Time Despite Varying Loads

A little while awhile ago VividCortex's engineering team encountered a minor mystery when observing some trends in time_us metrics in a MongoDB database. While the conclusion of our investigation was a kind of combination of "D'oh!" and "Ah ha!," we thought our considerations along the way were interesting and involved a few valuable questions worth sharing.

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Published by Alex Slotnick on Aug 8, 2016 3:41:44 PM

Fault Detection Released for MongoDB

As we noted last week on our product updates page, VividCortex has recently added fault detection support for MongoDB. Adaptive fault detection is one of VividCortex’s unique and most powerful features: it’s a practical and useful application of the concept of “work-centric” monitoring. Rather than focus on global resource metrics, which can often be relative and context-dependent, work-centric measurements give a clear and proactive perspective on what your system is really up to. We’re excited to be introducing this key resource to MongoDB users.

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