holdenk commented on a change in pull request #24362: [SPARK-27454][ML][SQL]
Spark image datasource fail when encounter some illegal images
URL: https://github.com/apache/spark/pull/24362#discussion_r275465139
##########
File path: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
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@@ -133,7 +133,13 @@ object ImageSchema {
*/
private[spark] def decode(origin: String, bytes: Array[Byte]): Option[Row] =
{
- val img = ImageIO.read(new ByteArrayInputStream(bytes))
+ val img = try {
+ ImageIO.read(new ByteArrayInputStream(bytes))
+ } catch {
+ // Catch runtime exception because `ImageIO` may throw unexcepted
`RuntimeException`.
+ // But do not catch the declared `IOException` (regarded as FileSystem
failure)
+ case _: RuntimeException => null
Review comment:
What about using an accumulator to keep track of the approximate number of
rejected images? That way if peoples data goes "bad" they can at least see
what's going?
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