Adding sequential IDs to a Spark Dataframe

• MySQL

  146 10,208 9.8 C++

  MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.

  

Coming from traditional relational databases, like MySQL, and non-distributed data frames, like Pandas, one may be used to working with ids (auto-incremented usually) for identification of course but also the ordering and constraints you can have in data by using them as reference. For example, ordering your data by id (which is usually an indexed field) in a descending order, will give you the most recent rows first etc.

• Pandas

  393 41,923 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

Coming from traditional relational databases, like MySQL, and non-distributed data frames, like Pandas, one may be used to working with ids (auto-incremented usually) for identification of course but also the ordering and constraints you can have in data by using them as reference. For example, ordering your data by id (which is usually an indexed field) in a descending order, will give you the most recent rows first etc.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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