bowenliang123 commented on code in PR #4358:
URL: https://github.com/apache/kyuubi/pull/4358#discussion_r1118329674


##########
extensions/spark/kyuubi-spark-authz/src/main/scala/org/apache/kyuubi/plugin/spark/authz/ranger/datamasking/RuleApplyDataMaskingStage0.scala:
##########
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.kyuubi.plugin.spark.authz.ranger.datamasking
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.expressions.Alias
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project}
+
+import org.apache.kyuubi.plugin.spark.authz.ObjectType
+import org.apache.kyuubi.plugin.spark.authz.OperationType.QUERY
+import org.apache.kyuubi.plugin.spark.authz.ranger._
+import org.apache.kyuubi.plugin.spark.authz.serde._
+
+/**
+ * The full data masking rule contains two separate stages.
+ *
+ * Step1: RuleApplyDataMaskingStage0
+ *   - lookup the full plan for supported scans
+ *   - once found, get masker configuration for external column by column
+ *   - use spark sql parser to generate a unresolved expression for each masker
+ *   - add a projection with new output on the right top of the original scan 
if the output has
+ *     changed
+ *   - Add DataMaskingStage0Marker to track the original expression and its 
masker expression.
+ *
+ * Step2: Spark native rules will resolved our newly added maskers
+ *
+ * Step3: [[RuleApplyDataMaskingStage1]]

Review Comment:
   These comments are key designs to the refactor. Better to copy them to the 
PR description as well.



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