Adapt leafCallToSubfieldFilter to Spark

[rui-mo]

Description

Gluten implemented some logic to convert call expr as subfield filter. To avoid duplication, we would like to use the existing 'leafCallToSubfieldFilter' logic in Velox. One incompatibility we found is current implementation is matching against Presto function names, while Spark function names could be different. The other one is 'isnotnull' is frequently used in Spark and it is not currently supported. These are the drafted changes we would like to propose: rui-mo@7340903.

[Yuhta]

Yeah leafCallToSubfieldFilter is Presto specific (similar to Tokenizer). Mixing in Spark names probably is not a good way to do it. A related question is how do we parse this expression in ExprCompiler, do we have a isnotnull function in sparksql?

[Yuhta]

One way to fix it is to have

class ExprToSubfieldFilterParser {
  std::unique_ptr<common::Filter> leafCallToSubfieldFilter(
    const core::CallTypedExpr&,
    common::Subfield&,
    core::ExpressionEvaluator*,
    bool negated = false);
};

And have this stored as shared_ptr inside ExecCtx, or another context object with query scope.