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https://issues.apache.org/jira/browse/PARQUET-1563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16819517#comment-16819517
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Fan Mo commented on PARQUET-1563:
---------------------------------
attachment is one testing data I'm using. the following code is how to generate
that data:
val data = List(Pojo("1", new Date(2018, 1, 1)), Pojo("2", new Date(2019, 1,
1)))
sparkSession.createDataFrame(data).write.parquet("/tmp/test_pojo")
> cannot read 'date' datatype which write by spark
> ------------------------------------------------
>
> Key: PARQUET-1563
> URL: https://issues.apache.org/jira/browse/PARQUET-1563
> Project: Parquet
> Issue Type: Bug
> Environment: jdk: 1.8
> macOS Mojave 10.14.4
> Reporter: Fan Mo
> Priority: Major
> Attachments: test.snappy.parquet
>
>
> I'm using spark 2.4.0 to write parquet file and try to use
> parquet-column-1.10.jar to read the data. All the primary datatypes are
> working however for the date datatype it gets some meanless number. For
> example, input date is '1970-04-26', output data is '115'. if I use Spark to
> read the data, it can get the correct date.
> following are my reader code:
> val reader = ParquetFileReader.open(HadoopInputFile.fromPath(new
> Path(("testfile.snappy.parquet")), new Configuration()))
> val schema = reader.getFooter.getFileMetaData.getSchema
> var pages : PageReadStore = null
> while((pages = reader.readNextRowGroup()) != null) {
> val rows = pages.getRowCount
> val columnIO = new ColumnIOFactory().getColumnIO(schema)
> val recordReader = columnIO.getRecordReader(pages,new
> GroupRecordConverter(schema))
> (0L until rows).foreach{ _ : Long =>
> val simpleGroup = recordReader.read()
> println(simpleGroup)
> }
> }
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