AngersZhuuuu commented on pull request #34308:
URL: https://github.com/apache/spark/pull/34308#issuecomment-962397519
> Oops sorry @AngersZhuuuu . Maybe we can try the following then:
>
> ```scala
> test("XXX") {
> val data = (0 to 10).flatMap(n => Seq.fill(10)(n)).map(i => (i,
i.toString))
> withParquetFile(data) { dir =>
> val file = SpecificParquetRecordReaderBase.listDirectory(new
File(dir)).get(0)
> val filePath = new Path(file)
> val reader =
ParquetFileReader.open(HadoopInputFile.fromPath(filePath, new Configuration))
> try {
> val descriptor = reader.getFileMetaData.getSchema.getColumns.get(0)
> val pages = reader.readNextRowGroup().getPageReader(descriptor)
>
> val dictionaryPage = pages.readDictionaryPage()
> assert(dictionaryPage != null, "dictionaryPage shouldn't be null")
> val dictionary =
dictionaryPage.getEncoding.initDictionary(descriptor, dictionaryPage)
> val parquetDictionary = new ParquetDictionary(dictionary, file,
true)
> val msg = intercept[UnsupportedOperationException] {
> parquetDictionary.decodeToInt(0)
> }.getMessage
> assert(msg.contains("Decoding to Int is not supported"))
> } finally {
> reader.close()
> }
> }
> }
> ```
Thanks a lot, such way can trigger this an I have tried but failed to use
these apis. Have updated and add you as the co-author.
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