cloud-fan 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_r346688874
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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:
I take a look at SQL standard, float and real are different
```
FLOAT specifies the data type approximate numeric, with binary precision
equal to or greater than the
value of the specified <precision>. The maximum value of <precision> is
implementation-defined.
<precision> shall not be greater than this value.
REAL specifies the data type approximate numeric, with
implementation-defined precision.
```
We can say that now Spark supports real type, and its precision is the same
as java float. But it needs to be proposed explicitly, e.g. send an email to
dev list.
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