Github user huawei-flink commented on a diff in the pull request:
https://github.com/apache/flink/pull/3547#discussion_r106361152
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala
---
@@ -19,33 +19,124 @@ package org.apache.flink.table.runtime.aggregate
import java.util
-import org.apache.calcite.rel.`type`._
+import scala.collection.JavaConversions.asScalaBuffer
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.calcite.rel.RelNode
+import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.AggregateCall
+import org.apache.calcite.rex.RexInputRef
+import org.apache.calcite.rex.RexLiteral
+import org.apache.calcite.rex.RexWindowBound
+import org.apache.calcite.sql.SqlAggFunction
+import org.apache.calcite.sql.SqlKind
import org.apache.calcite.sql.`type`.SqlTypeName
-import org.apache.calcite.sql.`type`.SqlTypeName._
-import org.apache.calcite.sql.fun._
-import org.apache.calcite.sql.{SqlAggFunction, SqlKind}
-import org.apache.flink.streaming.api.functions.ProcessFunction
+import org.apache.calcite.sql.`type`.SqlTypeName.BIGINT
+import org.apache.calcite.sql.`type`.SqlTypeName.BOOLEAN
+import org.apache.calcite.sql.`type`.SqlTypeName.DECIMAL
+import org.apache.calcite.sql.`type`.SqlTypeName.DOUBLE
+import org.apache.calcite.sql.`type`.SqlTypeName.FLOAT
+import org.apache.calcite.sql.`type`.SqlTypeName.INTEGER
+import org.apache.calcite.sql.`type`.SqlTypeName.SMALLINT
+import org.apache.calcite.sql.`type`.SqlTypeName.TINYINT
--- End diff --
I see your point, although I thought that wildcard import was not a best
practice. It seems that the java and scala implementation are following
different conventions. I have no problems with it in principle.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---