Spark-Pinot Connector regexp_like not worked

Please make a confirmation about this. We have configured spark with
usePushDownFilters = true
but it seems spark not push down filters to pinot server, and exception thrown:

org.apache.spark.sql.AnalysisException: Undefined function: 'REGEXP_LIKE'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.; line 1 pos 44
at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$11.$anonfun$applyOrElse$69(Analyzer.scala:1396)
at org.apache.spark.sql.catalyst.analysis.package$.withPosition(package.scala:53)
at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$11.applyOrElse(Analyzer.scala:1395)
at org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$11.applyOrElse(Analyzer.scala:1386)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:258)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:258)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:263)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:328)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:186)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:326)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:263)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:263)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:328)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:186)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:326)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:263)
...

Start by reproducing the reported regexp_like query with Spark and usePushDownFilters enabled, using the exception and configuration in the issue as the initial clues. Then inspect the Spark-Pinot connector's filter pushdown path; done should mean the behavior is confirmed and corrected or clearly documented with a regression test if the issue is reproducible.

Written by the indexing model from the issue text.