kevinjmh commented on a change in pull request #3444: [CARBONDATA-3581] Support
page level bloom filter
URL: https://github.com/apache/carbondata/pull/3444#discussion_r348915190
##########
File path:
integration/spark-common/src/main/scala/org/apache/spark/sql/catalyst/CarbonDDLSqlParser.scala
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@@ -501,6 +506,32 @@ abstract class CarbonDDLSqlParser extends
AbstractCarbonSparkSQLParser {
tableComment)
}
+ def validatePageBloomColumns(fields: Seq[Field], tableProperties:
Map[String, String]): Unit = {
+ val pageBloomFields =
tableProperties(CarbonCommonConstants.PAGE_BLOOM_INCLUDE)
+ .split(",").map(_.trim.toLowerCase)
+ if (pageBloomFields.length != pageBloomFields.distinct.length) {
+ throw new MalformedCarbonCommandException(
+ CarbonCommonConstants.PAGE_BLOOM_INCLUDE.toUpperCase() + " have
duplicate columns")
+ }
+ pageBloomFields.foreach { column =>
+ val bloomFiled = fields.find(_.column.equalsIgnoreCase(column))
+ if (bloomFiled.isDefined) {
+ // check if data type is supported
+ val datatypeStr = bloomFiled.get.dataType.getOrElse("");
+ val supportedType = Array("string", "int", "bigint")
Review comment:
I think these datatypes are more resonable to have discrete values and could
be used as `col1 = xxx` or `col1 in (xxx, xxx)`
As for `short`, in a page of 32000 rows, that could easily we hit the page
and tell executor to scan, and we waste time in bloom checking.
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