panbingkun commented on PR #48653:
URL: https://github.com/apache/spark/pull/48653#issuecomment-2467641107
> Is this behavior consistent with reading CSV files?
- test.csv
```csv
1, 1
```
- Before this PR
A.schema = "a INT, b DOUBLE"
```scala
test("read csv test.csv") {
val df = spark.read.schema("a INT, b
DOUBLE").csv(testFile("test-data/test.csv"))
df.show(true)
}
```
result
```
+---+---+
| a| b|
+---+---+
| 1|1.0|
+---+---+
```
B.schema = "a INT, b INT"
```scala
test("read csv test.csv") {
val df = spark.read.schema("a INT, b
INT").csv(testFile("test-data/test.csv"))
df.show(true)
}
```
result
```
+---+----+
| a| b|
+---+----+
| 1|NULL|
+---+----+
```
- After this PR
A.schema = "a INT, b DOUBLE"
```scala
test("read csv test.csv") {
val df = spark.read.schema("a INT, b
DOUBLE").csv(testFile("test-data/test.csv"))
df.show(true)
}
```
result:
```
+---+---+
| a| b|
+---+---+
| 1|1.0|
+---+---+
```
B.schema = "a INT, b INT"
```scala
test("read csv test.csv") {
val df = spark.read.schema("a INT, b
INT").csv(testFile("test-data/test.csv"))
df.show(true)
}
```
result:
```
+---+---+
| a| b|
+---+---+
| 1| 1|
+---+---+
```
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