How pg_dump is different in PostgreSQL 16?

How pg_dump is different in PostgreSQL 16?



The pg_dump command is a tool used to export data from a PostgreSQL database into a file. The tool has been included in PostgreSQL since version 7.0 and has been updated with new features and improvements in each new version of PostgreSQL. The specific differences between the pg_dump command in PostgreSQL 16 and previous versions will depend on the specific version you are comparing it to. However, the following are some of the features that may be included in the pg_dump command of PostgreSQL 16:

  • Parallel dump: PostgreSQL 16 allows parallel dump, which helps to speed up the process of exporting data from a PostgreSQL database. This is done by breaking up the dump process into multiple parallel threads, which can export data from different parts of the database simultaneously.
  • Improved compression: In PostgreSQL 16 pg_dump supports the ability to use more efficient compression algorithms when creating backups. This can result in smaller backup files, which require less storage space.
  • Improved performance: The pg_dump command in PostgreSQL 16 has improved performance when compared to previous versions, which makes it faster to export data from a PostgreSQL database.
  • Improved security: The pg_dump command in PostgreSQL 16 has improved security features that can help to protect the data being exported. For example, it can encrypt the data to protect against unauthorized access.
  • Improved error handling: The pg_dump command in PostgreSQL 16 has improved error handling, which helps to ensure that the export process is reliable and that the data is exported correctly.

It’s important to note that these features are not guaranteed to be included in every version of PostgreSQL 16 and it’s recommended to check the PostgreSQL documentation for the specific version you are working with for more detailed information.

 

About Shiv Iyer 72 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

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