danny0405 commented on a change in pull request #10123: 
[FLINK-14665][table-planner-blink] Support computed column for create…
URL: https://github.com/apache/flink/pull/10123#discussion_r344606608
 
 

 ##########
 File path: 
flink-table/flink-table-planner-blink/src/test/resources/org/apache/flink/table/planner/plan/batch/sql/DagOptimizationTest.xml
 ##########
 @@ -199,37 +189,35 @@ 
LogicalSink(name=[`default_catalog`.`default_database`.`sink1`], fields=[a, b1])
 LogicalSink(name=[`default_catalog`.`default_database`.`sink2`], fields=[a, 
b1])
 +- LogicalUnion(all=[true])
    :- LogicalProject(a1=[$0], b1=[$1])
-   :  +- LogicalProject(a1=[$0], b1=[$1])
-   :     +- LogicalFilter(condition=[<=($0, 10)])
-   :        +- LogicalTableScan(table=[[default_catalog, default_database, 
MyTable, source: [TestTableSource(a, b, c)]]])
-   +- LogicalProject(a=[$0], b1=[$1])
-      +- LogicalProject(a=[$2], b1=[$1])
-         +- LogicalFilter(condition=[=($2, $0)])
-            +- LogicalJoin(condition=[true], joinType=[inner])
-               :- LogicalProject(a1=[$0], b1=[$1])
-               :  +- LogicalFilter(condition=[<=($0, 10)])
-               :     +- LogicalTableScan(table=[[default_catalog, 
default_database, MyTable, source: [TestTableSource(a, b, c)]]])
-               +- LogicalTableScan(table=[[default_catalog, default_database, 
MyTable2, source: [TestTableSource(a, b, c, d, e)]]])
+   :  +- LogicalFilter(condition=[<=($0, 10)])
+   :     +- LogicalTableScan(table=[[default_catalog, default_database, 
MyTable, source: [TestTableSource(a, b, c)]]])
+   +- LogicalProject(a=[$2], b1=[$1])
+      +- LogicalFilter(condition=[=($2, $0)])
+         +- LogicalJoin(condition=[true], joinType=[inner])
+            :- LogicalProject(a1=[$0], b1=[$1])
+            :  +- LogicalFilter(condition=[<=($0, 10)])
+            :     +- LogicalTableScan(table=[[default_catalog, 
default_database, MyTable, source: [TestTableSource(a, b, c)]]])
+            +- LogicalTableScan(table=[[default_catalog, default_database, 
MyTable2, source: [TestTableSource(a, b, c, d, e)]]])
 ]]>
     </Resource>
     <Resource name="planAfter">
       <![CDATA[
-Calc(select=[a, b], where=[<=(a, 10)], reuse_id=[1])
-+- TableSourceScan(table=[[default_catalog, default_database, MyTable, source: 
[TestTableSource(a, b, c)]]], fields=[a, b, c])
+Calc(select=[a AS a1, b AS b1], reuse_id=[1])
++- Calc(select=[a, b, c], where=[<=(a, 10)])
+   +- TableSourceScan(table=[[default_catalog, default_database, MyTable, 
source: [TestTableSource(a, b, c)]]], fields=[a, b, c])
 
-Calc(select=[a0 AS a, b AS b1], reuse_id=[2])
-+- HashJoin(joinType=[InnerJoin], where=[=(a0, a)], select=[a, b, a0], 
build=[right])
-   :- Exchange(distribution=[hash[a]])
+Calc(select=[a, b1], reuse_id=[2])
++- HashJoin(joinType=[InnerJoin], where=[=(a, a1)], select=[a1, b1, a, b, c, 
d, e], build=[left])
+   :- Exchange(distribution=[hash[a1]])
    :  +- Reused(reference_id=[1])
    +- Exchange(distribution=[hash[a]])
-      +- Calc(select=[a])
-         +- TableSourceScan(table=[[default_catalog, default_database, 
MyTable2, source: [TestTableSource(a, b, c, d, e)]]], fields=[a, b, c, d, e])
+      +- TableSourceScan(table=[[default_catalog, default_database, MyTable2, 
source: [TestTableSource(a, b, c, d, e)]]], fields=[a, b, c, d, e])
 
 Sink(name=[`default_catalog`.`default_database`.`sink1`], fields=[a, b1])
 +- Reused(reference_id=[2])
 
 Sink(name=[`default_catalog`.`default_database`.`sink2`], fields=[a, b1])
-+- Union(all=[true], union=[a, b])
++- Union(all=[true], union=[a1, b1])
    :- Reused(reference_id=[1])
 
 Review comment:
   The test query is `SELECT * FROM table1 UNION ALL SELECT * FROM table2` so 
the name is actually correct. Because the union fields digest come from 
`getRowType.getFieldNames.mkString(", ")`, the `UNION` use 
`ReturnTypes.LEAST_RESTRICTIVE` to infer the union type, for which we always 
use the field name of the first   union input.

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