HyukjinKwon commented on a change in pull request #26537: [SPARK-29587][SQL]
Support SQL Standard type real as float(4) numeric as decimal
URL: https://github.com/apache/spark/pull/26537#discussion_r354188577
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
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@@ -2154,17 +2154,17 @@ class AstBuilder(conf: SQLConf) extends
SqlBaseBaseVisitor[AnyRef] with Logging
case ("smallint" | "short", Nil) => ShortType
case ("int" | "integer", Nil) => IntegerType
case ("bigint" | "long", Nil) => LongType
- case ("float", Nil) => FloatType
+ case ("float" | "real", Nil) => FloatType
Review comment:
So seems the key difference between DEICMAL and NUMERIC are:
> implementation-defined decimal precision equal to or greater than the
value of the specified precision.
Decimal can have _at least_ specified precision (which means can have more)
whereas numeric should have exactly specified precision.
Spark's decimal satisfy both so I think NUMERIC as a synonym of DECIMAL
makes sense.
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