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_r349535900
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File path: integration/spark-common/src/main/scala/org/apache/spark/sql/catalyst/CarbonDDLSqlParser.scala
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@@ -218,6 +220,45 @@ abstract class CarbonDDLSqlParser extends AbstractCarbonSparkSQLParser {
)
}
+ def getField(col: StructField): Field = {
+ var columnComment: String = ""
+ var plainComment: String = ""
+ if (col.getComment().isDefined) {
+ columnComment = " comment \"" + col.getComment().get + "\""
+ plainComment = col.getComment().get
+ }
+ val x =
+ if (col.dataType.catalogString == "float") {
+ '`' + col.name + '`' + " double" + columnComment
+ } else {
+ '`' + col.name + '`' + ' ' + col.dataType.catalogString + columnComment
+ }
+ val f: Field = anyFieldDef(new lexical.Scanner(x.toLowerCase))
+ match {
+ case Success(field, _) => field.asInstanceOf[Field]
+ case failureOrError => throw new MalformedCarbonCommandException(
+ s"Unsupported data type: ${col.dataType}")
+ }
+ // the data type of the decimal type will be like decimal(10,0)
+ // so checking the start of the string and taking the precision and scale.
+ // resetting the data type with decimal
+ if (f.dataType.getOrElse("").startsWith("decimal")) {
Review comment:
This is from base code. Same as above.
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