Github user HeartSaVioR commented on the issue:
https://github.com/apache/storm/pull/1681
FYI:
Flink seems not support explain yet.
https://github.com/apache/flink/pull/2485 is proposed for adding this
feature.
As I described to JIRA issue, Spark supports explain and output seems to be
more user friendly.
(Note that Spark doesn't use Calcite.)
```
scala> spark.sql("SELECT GRPID, COUNT(*) AS CNT, MAX(AGE) AS MAX_AGE,
MIN(AGE) AS MIN_AGE, AVG(AGE) AS AVG_AGE, MAX(AGE) - MIN(AGE) AS DIFF FROM FOO
WHERE ID > 2 GROUP BY GRPID").explain
== Physical Plan ==
*HashAggregate(keys=[GRPID#64], functions=[count(1), max(AGE#67),
min(AGE#67), avg(cast(AGE#67 as bigint)), max(AGE#67), min(AGE#67)])
+- Exchange hashpartitioning(GRPID#64, 200)
+- *HashAggregate(keys=[GRPID#64], functions=[partial_count(1),
partial_max(AGE#67), partial_min(AGE#67), partial_avg(cast(AGE#67 as bigint)),
partial_max(AGE#67), partial_min(AGE#67)])
+- *Project [grpid#64, age#67]
+- *Filter (isnotnull(ID#63) && (ID#63 > 2))
+- LocalTableScan [id#63, grpid#64, name#65, addr#66, age#67]
```
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