cloud-fan commented on code in PR #36150:
URL: https://github.com/apache/spark/pull/36150#discussion_r919685963
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core/src/main/resources/error/error-classes.json:
##########
@@ -256,6 +256,18 @@
"Key <keyValue> does not exist. Use `try_element_at` to tolerate
non-existent key and return NULL instead. If necessary set <config> to
\"false\" to bypass this error."
]
},
+ "MELT_REQUIRES_VALUE_COLUMNS" : {
Review Comment:
I think the problem is which one should be the primary name? I'd vote for
`unpivot` as it's a direct matching of the existing `pivot` feature in Spark.
I'm OK to add `Dataset.melt` as an alias of `Dataset.unpivot` for Pandas
compatibility.
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