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MongoDB provides some ACID properties but not full ACID compliance. It supports atomicity for single document operations and consistency for unique indexes on shared fields. Isolation is limited as multi-document transactions are not fully supported. Durability is ensured as writes are replicated and acknowledged.Read less
Linux File Systems MongoDB uses large files for storing data, and preallocates these. These filesystems seem to work well: ext4 ( kernel version >= 2.6.23 ) xfs ( kernel version >= 2.6.25 ) In addition to the file systems above you might also want to (explicitly) disable file/directory modification times by using these mount options: noatime (also enables nodiratime) We have found ext3 to be very
Karl Seguinããã®ãThe Little MongoDB Bookããå訳ãã¾ããã ãã®æ¬ã¯MongoDBã®åºç¤ãå®éã«æãåããã¦å¦ã¶ãã¥ã¼ããªã¢ã«ã§ãã MongoDBã®åºç¤ããããã¼ã¿ã¢ãã«ã®è¨è¨æ¹æ³ãMapReduceãªã©å¹ åºãå 容ãã«ãã¼ãã¦ãã¾ãã ã¾ããç¹å¥MongoDBã«èå³ãç¡ãã¦ãçè ã®NoSQLã¸ã®èãæ¹ã¯ä¸èªã®ä¾¡å¤ãããã ããã ãã¦ã³ãã¼ãPDFç the-little-mongodb-book-ja.pdf epubç the-little-mongodb-book-ja.epub(ããã¾ããããã«çµçã§ãã¦ãªããã©â¦) 誤訳ãªã©ããã° @hamano ã¾ã§ ã½ã¼ã¹ã¯ãã¡ã: https://github.com/hamano/the-little-mongodb-book æ´æ°å±¥æ´2012/04/17 v1.0 åçå ¬éã 2012/06/15 v
This document demonstrates how the oplog in MongoDB replica sets works by replicating operations from the primary to secondaries. It shows insert, update, remove operations on a collection on the primary and then verifies that the same operations have been replicated to the oplog and applied on a secondary by finding the same document changes. It also shows getMore commands from secondaries tailin
MongoDB on AWS Guidelines and Best Practices Rahul Bhartia May 2015 Amazon Web Services â MongoDB on AWS May 2015 Page 2 of 30 © 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational purposes only. It represents AWSâs current product offerings and practices as of the date of issue of this document, which are subject to change wi
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This document summarizes key points from chapters 11 and 15 of Programming Hive. It discusses choosing compression codecs for intermediate and final outputs in Hive, how different compression schemes like LZO, Snappy, and BWT work, and enabling compression in Hive. It also covers Hive file formats like SequenceFiles, RCFiles, and ORCFiles. RCFiles store data columnarly and use RLE compression. ORC
MongoDB is a document-oriented database that stores data in flexible, JSON-like documents. It supports features like replication, auto-sharding, and indexing. The document discusses using MongoDB with Ameba Pico's photo tagging service, including initial implementation with one shard, expanding to multiple shards as user numbers grow over time, and repairing and upgrading shards over time to suppo
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