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ASF GitHub Bot commented on FLINK-7439: --------------------------------------- Github user sunjincheng121 commented on a diff in the pull request: https://github.com/apache/flink/pull/4536#discussion_r135425326 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/utils/TableSqlFunction.scala --- @@ -18,39 +18,40 @@ package org.apache.flink.table.functions.utils -import com.google.common.base.Predicate import org.apache.calcite.rel.`type`.RelDataType import org.apache.calcite.sql._ import org.apache.calcite.sql.`type`._ import org.apache.calcite.sql.parser.SqlParserPos import org.apache.calcite.sql.validate.SqlUserDefinedTableFunction -import org.apache.calcite.util.Util import org.apache.flink.api.common.typeinfo.TypeInformation import org.apache.flink.table.calcite.FlinkTypeFactory -import org.apache.flink.table.functions.TableFunction +import org.apache.flink.table.functions.{ScalarFunction, TableFunction} import org.apache.flink.table.plan.schema.FlinkTableFunctionImpl import scala.collection.JavaConverters._ import java.util +import org.apache.calcite.sql.`type`.SqlOperandTypeChecker.Consistency +import org.apache.flink.api.java.typeutils.TypeExtractor --- End diff -- I suggest that format the import order, i.e.: **calcite** **calcite** **flink.api** **flink.api** **flink.table** **flink.talbe** What do you think? > Support variable arguments for UDTF in SQL > ------------------------------------------ > > Key: FLINK-7439 > URL: https://issues.apache.org/jira/browse/FLINK-7439 > Project: Flink > Issue Type: Improvement > Components: Table API & SQL > Reporter: Jark Wu > Assignee: Jark Wu > > Currently, both UDF and UDAF support variable parameters, but UDTF not. > FLINK-5882 supports variable UDTF for Table API only, but missed SQL. -- This message was sent by Atlassian JIRA (v6.4.14#64029)