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You're reading from  Practical MongoDB Aggregations

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781835080641
Edition1st Edition
Tools
MongoDB
Concepts
Database Programming
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Author (1)
Paul Done
Paul Done
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Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.
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A brief summary of MongoDB sharded clusters

In a sharded cluster, you partition a collection of data across multiple shards, where each shard runs on a separate set of host machines. You control how the system distributes the data by defining a shard key rule. Based on the shard key of each document, the system groups subsets of documents together into chunks, where a range of shard key values identifies each chunk. The cluster balances these chunks across its shards.

In addition to holding sharded collections in a database, you may also be storing unsharded collections in the same database. All a database's unsharded collections live on one specific shard in the cluster, designated as the primary shard for the database (not to be confused with a replica set's primary replica). Figure 5.1 shows the relationship between a database's collections and the shards in the cluster.

Figure 5.1: Correlation between a database's collections and...

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Practical MongoDB Aggregations
Published in: Sep 2023Publisher: PacktISBN-13: 9781835080641
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.
Read more about Paul Done

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