林木88

In the last blog post, I explained the partitioning and ordering requirements for preparing a physic

In the last few blog posts, I introduced the SparkPlanner for generating physical plans from logical

This blog post looks into Spark SQL Cache Commands under the hood, walking through the execution flo

In this blog posts, I will dig into the execution internals of the runnable commands, which inherit

In this blog post, I am going to explain the Join strategies applied by the Spark Planner for genera

This blog post continues to explore the Aggregate strategy and focuses on the two hash-based aggrega

The last blog post explains the Aggregation strategy for generating physical plans for aggregate ope

In the last blog post, I gave an overview of the SparkPlanner for planning physical execution plans

After logical plans are optimised by the Catalyst Optimizer rules, SparkPlanner takes an optimized l