Subquery on single table with having clause can't be optimized

sql("create view t(c1, c2) as values (0, 1), (0, 2), (1, 2)")

sql("select c1, c2, (select count(*) cnt from t t2 where t1.c1 = t2.c1 " +
"having cnt = 0) from t t1").show() 

[PLAN_VALIDATION_FAILED_RULE_IN_BATCH] Rule org.apache.spark.sql.catalyst.optimizer.RewriteCorrelatedScalarSubquery in batch Operator Optimization before Inferring Filters generated an invalid plan: The plan becomes unresolved: 'Project [toprettystring(c1#224, Some(America/Los_Angeles)) AS toprettystring(c1)#238, toprettystring(c2#225, Some(America/Los_Angeles)) AS toprettystring(c2)#239, toprettystring(cnt#246L, Some(America/Los_Angeles)) AS toprettystring(scalarsubquery(c1))#240]
+- 'Project [c1#224, c2#225, CASE WHEN isnull(alwaysTrue#245) THEN 0 WHEN NOT (cnt#222L = 0) THEN null ELSE cnt#222L END AS cnt#246L]
   +- 'Join LeftOuter, (c1#224 = c1#224#244)
      :- Project [col1#226 AS c1#224, col2#227 AS c2#225]
      :  +- LocalRelation [col1#226, col2#227]
      +- Project [cnt#222L, c1#224#244, cnt#222L, c1#224, true AS alwaysTrue#245]
         +- Project [cnt#222L, c1#224 AS c1#224#244, cnt#222L, c1#224]
            +- Aggregate [c1#224], [count(1) AS cnt#222L, c1#224]
               +- Project [col1#228 AS c1#224]
                  +- LocalRelation [col1#228, col2#229]The previous plan: Project [toprettystring(c1#224, Some(America/Los_Angeles)) AS toprettystring(c1)#238, toprettystring(c2#225, Some(America/Los_Angeles)) AS toprettystring(c2)#239, toprettystring(scalar-subquery#223 [c1#224 && (c1#224 = c1#224#244)], Some(America/Los_Angeles)) AS toprettystring(scalarsubquery(c1))#240]
:  +- Project [cnt#222L, c1#224 AS c1#224#244]
:     +- Filter (cnt#222L = 0)
:        +- Aggregate [c1#224], [count(1) AS cnt#222L, c1#224]
:           +- Project [col1#228 AS c1#224]
:              +- LocalRelation [col1#228, col2#229]
+- Project [col1#226 AS c1#224, col2#227 AS c2#225]
   +- LocalRelation [col1#226, col2#227]