cloud-fan commented on a change in pull request #23766: [SPARK-26859][SQL] Fix
field writer index bug in non-vectorized ORC deserializer
URL: https://github.com/apache/spark/pull/23766#discussion_r256712403
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File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/ReadSchemaTest.scala
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@@ -108,6 +108,40 @@ trait AddColumnTest extends ReadSchemaTest {
}
}
+trait AddColumnIntoTheMiddleTest extends ReadSchemaTest {
+ import testImplicits._
+
+ test("append column into middle") {
+ withTempPath { dir =>
+ val path = dir.getCanonicalPath
+
+ val df1 = Seq((1, 2, "abc"), (4, 5, "def"), (8, 9, null)).toDF("col1",
"col2", "col3")
+ val df2 = Seq((10, null, 20, null), (40, "uvw", 50, "xyz"), (80, null,
90, null))
+ .toDF("col1", "col4", "col2", "col3")
+
+ val dir1 = s"$path${File.separator}part=one"
+ val dir2 = s"$path${File.separator}part=two"
+
+ df1.write.format(format).options(options).save(dir1)
+ df2.write.format(format).options(options).save(dir2)
+
+ val df = spark.read
+ .schema(df2.schema)
Review comment:
just for curiosity, if we don't specify the schema, can spark infer the
schema correctly?
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