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Spark Cyclone SQL Planning

Spark's plans are rewritten into Cyclone plans in VeRewriteStrategy. There are 2 kinds of plans:

  • Boundary/transformation plans, such as VectorEngineToSparkPlan and SparkToVectorEnginePlan.
  • Data processing plans, such as VeOneStageEvaluationPlan for evaluations.

The transformation plans are inserted to convert between Spark columnar batches and plans that support VeColBatch as results; they in particular extend the SupportsVeColBatch trait/interface, which is used expressly when you have chains of plans that execute on the Vector Engine.

One of the most special data processing plans is VeAmplifyBatchesPlan, intended to compress smaller data sets into larger ones, especially following filtering and joining, to reduce the calls needed to the VeProcess.

Due to the distributed nature of Spark, many of the plans deal with transforming input RDDs via methods like mapPartitions, so that data across processes is never mixed implicitly; the placement of import statements is significant as well to identify the call contexts most appropriately.