MongoDB Upgrade Best Practices.pdf

张凡

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2025-01-06

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FROM PLANNING TO PERFORMANCE:

MongoDB Upgrade

Best Practices

2 | From Planning to Performance: MongoDB Upgrade Best Practices

From Planning to

Performance: MongoDB

Upgrade Best Practices

In database management, keeping pace with the ever-

advancing landscape of technologies and features isn’t

just a choice; it’s essential. This holds especially true for

MongoDB users, as it continuously evolves to deliver enhanced

performance, heightened security, and unmatched scalability.

However, upgrading MongoDB isn’t a matter of just clicking a

button; it demands meticulous planning, exacting execution, and

an intricate understanding of how upgrades work.

Whether you’re a seasoned DBA well-versed in MongoDB or a

newcomer looking to harness its potential, this ebook provides

the insights, strategies, and best practices to guide you

through MongoDB upgrades, ensuring they go as smoothly as

possible and your databases remain optimized and secure.

3 | From Planning to Performance: MongoDB Upgrade Best Practices

Why you should upgrade MongoDB

Not too concerned about upgrading your MongoDB instances? You may want to be! Outdated

versions may lack critical security updates, optimizations, and new features that could result

in data loss, slower response times, and reduced efciency, creating more work for you in the

future. To illustrate, take a look at just a few features that have been included in each new

MongoDB version.

In MongoDB 5.x

• Introduction of the capability for live resharding of databases, meaning users can

change the sharded key for collections as their workloads and databases grow and

evolve without experiencing any database downtime.

• Time-series collections can now be sharded, offering improved scalability and

performance for managing temporal data.

• MongoDB 5.3 saw a new feature called clustered collections, where data is stored

according to the keys in the associated clustered index rather than in the order in

which it was inserted. While they may have slightly slower write performance, they

excel when analytical queries require data to be in the specic order dened by the

clustered index.

In MongoDB 6.x

• Time-series collections in 6.0 now include secondary and compound indexes on

measurements, which improve read performance and new use cases like geo-

indexing.

• MongoDB 6.0 enhances change streams signicantly, and users can now access

the before and after state of changed documents, enabling tasks like updating

entire documents downstream and referencing deleted ones. They also now

support data denition language (DDL) operations, such as creating or dropping

collections and indexes.

• Administrators can now compress and encrypt audit events before saving them to

disk, utilizing their own KMIP-compliant key management system.

In MongoDB 7.x

• The ability to modify time-series data provides greater exibility and control over

your time-based information.

• New operators and variables for aggregation pipelines for more complex and

sophisticated data transformations.

• Wildcard indexes optimize the execution of queries, resulting in faster and more

efcient searches.

• Queryable encryption allows you to query encrypted data while maintaining data

condentiality.

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