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Where should you run your workload? It depends...Choosing the right infrastructure options to run your application is critical, both for the success of your application and for the team that is managing and developing it. This post breaks down some of the most important factors that you need to consider when deciding where you should run your stuff! What are these services?Compute Engine - Virtual
This document provides a summary of improvements made to Hive's performance through the use of Apache Tez and other optimizations. Some key points include: - Hive was improved to use Apache Tez as its execution engine instead of MapReduce, reducing latency for interactive queries and improving throughput for batch queries. - Statistics collection was optimized to gather column-level statistics fro
丸の内MongoDB勉強会 Marunouchi.mongo 主に丸の内MongoDB勉強会の資料を管理しています。 The guide of meetup MongoDB in Marunouchi Tokyo. 開催予定 丸の内MongoDB勉強会 #22 「初心者向け:MongoDBの基礎とハンズオン(ver3対応)」と「MongoDB World 2015レポート」 22015/7/16(木)19:00 DoorKeeper ニュース gihyo.jpで連載「MongoDBでゆるふわDB体験」連載終了!ありがとうございました! MongoDB最初の1歩 新・公式ドキュメント(日本語) マニュアルと@doryokujinさんのスライド を一通り読むと良いと思います。 とりあえず手を動かしたい人は、丸の内MongoDB勉強会 #1のstep01をやってみてください。 お役立ちリンク集
今回は、MongoDB v2.2リリースノートをもとにv2.2で追加/改善された機能を紹介します。機能についてより詳しく知りたい方は第3回丸の内勉強会の資料を参照ください。コマンドレベルでの手順や、一部機能の検証が載っています。 新機能ダイジェスト 1.並列処理の強化(Concurrency Improvements) ロックの粒度がGlobalロックからDBロックになりました。 PageFaultアーキテクチャが改善されロック時間が減りました。 2.Aggregation Framework 集計処理がコマンドで可能になりました。 3.Replica SetsのReadノード選択 一貫性レベルに応じて、どのノードからデータをReadするかを選択可能になりました。 4.Tagを使用したSharding(Improved Data Center Awareness) データ保存先のShard
I had a crazy thought. Don't all good ideas start with that phrase? Well, this one was suitably crazy: why not build my own version of MongoDB right on top of Postgres? It sounds a little far-fetched, but in all honesty it's pretty simple. The Postgres community hasn't been sitting around twiddling its thumbs while the NoSQL movement has taken off. There has been continued development all througho
No open source project has received more criticism in recent years than MongoDB. Most of the flak has revolved around technical implementation decisions made for the project, and perceptions of how the company behind MongoDB, 10gen, has used advantages gained from those design decisions in marketing their product. It seems that more blog posts have been written on why one should not use MongoDB th
The book is available as a pdb and epub A couple weeks ago I released mongly.com. The feedback has been great, but I've noticed that a lot of people still have some fundamental questions about MongoDB. Questions like, where does it fit and how do you model your data? I initially thought about writing a couple blog posts, but I felt that a short ebook might be a better format. I hope you like it an
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Java Tutorial (http://www.mongodb.org/display/DOCS/Java+Tutorial) Since Groovy is based on Java, you can make use of the Java driver for MongoDB as well as go through the tutorial shown above. The code can be used as-is or modified to look more groovy. Create a groovy file (mongo.groovy) and place the Java driver in the same directory. Edit it so the code looks like: this.class.classLoader.rootLoa
As you develop and operate applications with MongoDB, you may need to analyze the performance of the application and its database. When you encounter degraded performance, it is often a function of database access strategies, hardware availability, and the number of open database connections. Some users may experience performance limitations as a result of inadequate or inappropriate indexing stra
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