Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/11724#discussion_r56266566
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -86,6 +86,7 @@ private[csv] object CSVInferSchema {
case IntegerType => tryParseInteger(field)
case LongType => tryParseLong(field)
case DoubleType => tryParseDouble(field)
+ case _: DecimalType => tryParseDecimal(field)
--- End diff --
I added the `_` because `DecimalType` looks referencing the companion
object. I tried that expression before but this emits the compilation error
below.
```
Error:(89, 14) pattern type is incompatible with expected type;
found : org.apache.spark.sql.types.DecimalType.type
required: org.apache.spark.sql.types.DataType
Note: if you intended to match against the class, try `case
DecimalType(_,_)`
case DecimalType => tryParseDecimal(field)
^
```
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