[GitHub] [carbondata] VenuReddy2103 commented on a change in pull request #3436: [CARBONDATA-3548]Geospatial Support: Modified to create and load the table with a nonschema dimension sort column. And added InPolygon UDF

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[GitHub] [carbondata] VenuReddy2103 commented on a change in pull request #3436: [CARBONDATA-3548]Geospatial Support: Modified to create and load the table with a nonschema dimension sort column. And added InPolygon UDF

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VenuReddy2103 commented on a change in pull request #3436: [CARBONDATA-3548]Geospatial Support: Modified to create and load the table with a nonschema dimension sort column. And added InPolygon UDF
URL: https://github.com/apache/carbondata/pull/3436#discussion_r354738023
 
 

 ##########
 File path: integration/spark2/src/main/scala/org/apache/spark/sql/execution/strategy/CarbonLateDecodeStrategy.scala
 ##########
 @@ -322,6 +323,11 @@ private[sql] class CarbonLateDecodeStrategy extends SparkStrategy {
     // In case of more dictionary columns spark code gen needs generate lot of code and that slows
     // down the query, so we limit the direct fill in case of more dictionary columns.
     val hasMoreDictionaryCols = hasMoreDictionaryColumnsOnProjection(projectSet, table)
+
+    /* Spark cannot filter the rows from the pages in case of polygon query. So, we do the row
+    level filter at carbon and return the rows directly */
+    val hasInPolygonFilter = candidatePredicates.exists(exp => exp.isInstanceOf[ScalaUDF]
 
 Review comment:
   Done

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