sandip-db commented on code in PR #44163:
URL: https://github.com/apache/spark/pull/44163#discussion_r1434601695
##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/xml/XmlSuite.scala:
##########
@@ -2371,4 +2400,104 @@ class XmlSuite extends QueryTest with
SharedSparkSession {
}
}
}
+
+ test("SPARK-46248: Enabling/disabling
ignoreCorruptFiles/ignoreMissingFiles") {
+ withCorruptFile(inputFile => {
+ withSQLConf(SQLConf.IGNORE_CORRUPT_FILES.key -> "false") {
+ val e = intercept[SparkException] {
+ spark.read
+ .option("rowTag", "ROW")
+ .option("multiLine", false)
+ .xml(inputFile.toURI.toString)
+ .collect()
+ }
+ assert(ExceptionUtils.getRootCause(e).isInstanceOf[EOFException])
+ assert(ExceptionUtils.getRootCause(e).getMessage === "Unexpected end
of input stream")
+ val e2 = intercept[SparkException] {
+ spark.read
+ .option("rowTag", "ROW")
+ .option("multiLine", true)
+ .xml(inputFile.toURI.toString)
+ .collect()
+ }
+ assert(ExceptionUtils.getRootCause(e2).isInstanceOf[EOFException])
+ assert(ExceptionUtils.getRootCause(e2).getMessage === "Unexpected end
of input stream")
+ }
+ withSQLConf(SQLConf.IGNORE_CORRUPT_FILES.key -> "true") {
+ val result = spark.read
+ .option("rowTag", "ROW")
+ .option("multiLine", false)
+ .xml(inputFile.toURI.toString)
+ .collect()
+ assert(result.isEmpty)
+ }
+ })
+ withTempPath { dir =>
+ import org.apache.hadoop.fs.Path
+ val xmlPath = new Path(dir.getCanonicalPath, "xml")
+ val fs = xmlPath.getFileSystem(spark.sessionState.newHadoopConf())
+
+ sampledTestData.write.option("rowTag", "ROW").xml(xmlPath.toString)
+ val df = spark.read.option("rowTag", "ROW").option("multiLine",
true).xml(xmlPath.toString)
+ fs.delete(xmlPath, true)
+ withSQLConf(SQLConf.IGNORE_MISSING_FILES.key -> "false") {
+ val e = intercept[SparkException] {
+ df.collect()
+ }
+ assert(e.getCause.isInstanceOf[SparkFileNotFoundException])
+ assert(e.getCause.getMessage.contains(".xml does not exist"))
+ }
+
+ sampledTestData.write.option("rowTag", "ROW").xml(xmlPath.toString)
+ val df2 = spark.read.option("rowTag", "ROW").option("multiLine",
true).xml(xmlPath.toString)
+ fs.delete(xmlPath, true)
+ withSQLConf(SQLConf.IGNORE_MISSING_FILES.key -> "true") {
+ assert(df2.collect().isEmpty)
+ }
+ }
+ }
+
+ test("SPARK-46248: Read from a corrupted compressed file") {
+ withTempDir { dir =>
+ val format = "xml"
+ val numRecords = 10000
+ // create data
+ val data =
+ spark.sparkContext.parallelize(
+ (0 until numRecords).map(i => Row(i.toString, (i * 2).toString)))
+ val schema = buildSchema(field("a1"), field("a2"))
Review Comment:
```suggestion
val schema = buildSchema(
field("a1", LongType),
field("a2", LongType))
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
