USHA International Interview Questions, Process, and Tips

Catalyst optimizer is a query optimization framework in Apache Spark that improves performance by generating optimized query plans.

• Catalyst optimizer is a rule-based optimization framework.

• It leverages advanced techniques like predicate pushdown, constant folding, and null propagation.

• Catalyst optimizer helps in generating efficient query plans for Spark SQL queries.

• It performs optimizations like filter pushdown, proje...read more

Incremental data loading is the process of adding new data to an existing dataset without reloading all the data.

• It involves identifying new data since the last update

• Only the new data is added to the existing dataset

• Helps in reducing processing time and resource usage

• Commonly used in data warehousing and ETL processes