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LookupFunctions Logical Rule

LookupFunctions is a logical rule that the logical query plan analyzer uses to make sure that UnresolvedFunction expressions can be resolved in a logical query plan.

ResolveFunctions Logical Resolution Rule

LookupFunctions is similar to ResolveFunctions logical resolution rule, but it is ResolveFunctions to resolve UnresolvedFunction expressions while LookupFunctions is just a sanity check that a future resolution is possible if tried.

LookupFunctions is a Catalyst rule for transforming logical plans (Rule[LogicalPlan]).


LookupFunctions does not transform a logical plan, but simply assert that a query plan is valid with regards to functions used.

LookupFunctions is part of Simple Sanity Check one-off batch of rules.


Let's use Catalyst DSL to create a logical plan with an unregistered function.

import org.apache.spark.sql.catalyst.dsl.plans._
val t1 = table("t1")

import org.apache.spark.sql.catalyst.dsl.expressions._
val f1 = 'f1.function()

val plan =
scala> println(plan.numberedTreeString)
00 'Project [unresolvedalias('f1(), None)]
01 +- 'UnresolvedRelation `t1`

Make sure the function f1 does not exist.

import org.apache.spark.sql.catalyst.FunctionIdentifier
spark.sessionState.catalog.dropFunction(FunctionIdentifier("f1"), ignoreIfNotExists = true)

assert(spark.catalog.functionExists("f1") == false)

Executing LookupFunctions rule should end up with an AnalysisException since there is a function (f1) in the query plan that is not available.

import spark.sessionState.analyzer.LookupFunctions
scala> LookupFunctions.apply(plan)
org.apache.spark.sql.AnalysisException: Undefined function: 'f1'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.;
  at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$15.$anonfun$applyOrElse$100(Analyzer.scala:1893)
  at org.apache.spark.sql.catalyst.analysis.package$.withPosition(package.scala:53)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$15.applyOrElse(Analyzer.scala:1893)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$15.applyOrElse(Analyzer.scala:1884)

Executing Rule

  plan: LogicalPlan): LogicalPlan

apply finds all UnresolvedFunction expressions (in every logical operator in the input logical plan) and requests the SessionCatalog to check if their functions exist.

apply does nothing when a function exists, and reports a NoSuchFunctionException otherwise (that fails logical analysis).

Undefined function: '[func]'. This function is neither a registered temporary function nor a permanent function registered in the database '[db]'.

apply is part of the Rule abstraction.

Last update: 2020-11-16