silundong commented on code in PR #4772:
URL: https://github.com/apache/calcite/pull/4772#discussion_r2730605637


##########
core/src/test/java/org/apache/calcite/test/enumerable/EnumerableJoinTest.java:
##########
@@ -440,6 +447,96 @@ private void 
checkMergeJoinWithCompositeKeyAndNullValues(boolean bigSchema, Join
             "empid=5; name=Emp5");
   }
 
+  /** Test case for
+   * <a 
href="https://issues.apache.org/jira/browse/CALCITE-7385";>[CALCITE-7385]
+   * Support LEFT_MARK type for nested loop join in enumerable convention</a>. 
*/
+  @Test void testLeftMarkJoinBasedNestedLoop() {
+    Program subQuery =
+        Programs.hep(
+            ImmutableList.of(CoreRules.PROJECT_SUB_QUERY_TO_MARK_CORRELATE),
+            true,
+            DefaultRelMetadataProvider.INSTANCE);
+    Program toCalc =
+        Programs.hep(
+            ImmutableList.of(CoreRules.PROJECT_TO_CALC, 
CoreRules.FILTER_TO_CALC,
+                CoreRules.CALC_MERGE),
+            true,
+            DefaultRelMetadataProvider.INSTANCE);
+    Program enumerableImpl = 
Programs.ofRules(EnumerableRules.ENUMERABLE_RULES);
+
+    // case1: left mark join from uncorrelated SOME subquery
+    tester(false, new HrSchema())
+        .query(
+            "WITH t1(id) as (VALUES (1), (2), (NULL)), t2(id) as (VALUES (2), 
(3)) "
+                + "select id, id >= SOME(select id from t2) as marker from t1")
+        .withHook(Hook.PROGRAM, (Consumer<Holder<Program>>) program -> {
+          program.set(Programs.sequence(subQuery, toCalc, enumerableImpl));
+        })
+        .explainHookMatches(
+            "EnumerableNestedLoopJoin(condition=[>=($0, $1)], 
joinType=[left_mark])\n"
+                + "  EnumerableValues(tuples=[[{ 1 }, { 2 }, { null }]])\n"
+                + "  EnumerableCalc(expr#0=[{inputs}], id=[$t0])\n"
+                + "    EnumerableValues(tuples=[[{ 2 }, { 3 }]])\n")
+        .returnsUnordered(

Review Comment:
   Good idea, this is more intuitive. I have added a comparison against the 
result of old algorithm. I also validated the results using PG, and they are 
consistent.



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