shujingyang-db commented on code in PR #44571:
URL: https://github.com/apache/spark/pull/44571#discussion_r1441349590
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/xml/XmlInferSchema.scala:
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@@ -288,16 +265,17 @@ class XmlInferSchema(options: XmlOptions, caseSensitive:
Boolean)
case dt: DataType => dt
}
// Add the field and datatypes so that we can check if this is
ArrayType.
- val field = StaxXmlParserUtils.getName(e.asStartElement.getName,
options)
addOrUpdateType(nameToDataType, field, inferredType)
case c: Characters if !c.isWhiteSpace =>
- // This can be an attribute-only object
+ // This can be a value tag
val valueTagType = inferFrom(c.getData)
addOrUpdateType(nameToDataType, options.valueTag, valueTagType)
- case _: EndElement =>
- shouldStop = inferAndCheckEndElement(parser)
+ case e: EndElement =>
+ // In case of corrupt records, we shouldn't read beyond the
EndDocument
+ shouldStop = parser.peek().isInstanceOf[EndDocument] ||
StaxXmlParserUtils
+ .getName(e.getName, options) == startElementName
Review Comment:
We discussed offline and decided to simplify to `shouldStop = true`. With
that, we will also make sure that the entire entry, including the starting tag,
value, and ending tag are all consumed when we complete the parsing.
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