object ExpressionEvaluator extends Logging
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- def findUnresolvedAttributes(expr: Expression): Seq[UnresolvedAttribute]
Search for unresolved attributes in an expression to create meaningful error messages.
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- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- def logDebug(msg: => String): Unit
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- def logError(msg: => String): Unit
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- def registerUdf(name: String, udf: UserDefinedFunction): Unit
Register a udf to be available in evaluating expressions.
Register a udf to be available in evaluating expressions.
Note: this code is copied from Spark UDFRegistration.register
- def resolveExpression(exprCol: Column, schema: StructType, caseSensitive: Boolean = true): Expression
Resolve an expression against a given schema.
Resolve an expression against a given schema. A resolved expression has a dataType and can be evaluated against data.
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