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https://issues.apache.org/jira/browse/FLINK-17804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17110893#comment-17110893
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Jingsong Lee commented on FLINK-17804:
--------------------------------------

Yes, you are right. Previous implementation looks totally wrong. Do you want 
contribute this?

> Follow the spec when decoding Parquet logical DECIMAL type
> ----------------------------------------------------------
>
>                 Key: FLINK-17804
>                 URL: https://issues.apache.org/jira/browse/FLINK-17804
>             Project: Flink
>          Issue Type: Bug
>          Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
>    Affects Versions: 1.10.1
>            Reporter: Sergii Mikhtoniuk
>            Priority: Major
>              Labels: decimal, parquet, spark
>
> When reading a Parquet file (produced by Spark 2.4.0 with default 
> configuration) Flink's {{ParquetRowInputFormat}} fails with 
> {{NumberFormatException}}.
> After debugging this it seems that Flink doesn't follow the Parquet spec on 
> [encoding DECIMAL logical 
> type|https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#decimal]
> The Parquet schema for this field is:
> {code}
> optional fixed_len_byte_array(9) price_usd (DECIMAL(19,4));
> {code}
> If I understand the spec correctly, it says that the value should contain a 
> binary representation of an unscaled decimal. Flink's 
> [RowConverter|https://github.com/apache/flink/blob/release-1.10.1/flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/utils/RowConverter.java#L202]
>  however treats it as a base-10 UTF-8 string.
> What Flink essentially is doing:
> {code}
> val binary = Array[Byte](0, 0, 0, 0, 0, 11, -97, 118, -64)
> val decimal = new java.math.BigDecimal(new String(binary, 
> "UTF-8").toCharArray)
> {code}
> What I think spec suggests:
> {code}
> val binary = Array[Byte](0, 0, 0, 0, 0, 11, -97, 118, -64)
> val unscaled = new java.math.BigInteger(binary)
> val decimal = new java.math.BigDecimal(unscaled)
> {code}
> Error stacktrace:
>  {code}
> java.lang.NumberFormatException
>       at java.math.BigDecimal.<init>(BigDecimal.java:497)
>       at java.math.BigDecimal.<init>(BigDecimal.java:383)
>       at java.math.BigDecimal.<init>(BigDecimal.java:680)
>       at 
> org.apache.flink.formats.parquet.utils.RowConverter$RowPrimitiveConverter.addBinary(RowConverter.java:202)
>       at 
> org.apache.parquet.column.impl.ColumnReaderImpl$2$6.writeValue(ColumnReaderImpl.java:317)
>       at 
> org.apache.parquet.column.impl.ColumnReaderImpl.writeCurrentValueToConverter(ColumnReaderImpl.java:367)
>       at 
> org.apache.parquet.io.RecordReaderImplementation.read(RecordReaderImplementation.java:406)
>       at 
> org.apache.flink.formats.parquet.utils.ParquetRecordReader.readNextRecord(ParquetRecordReader.java:235)
>       at 
> org.apache.flink.formats.parquet.utils.ParquetRecordReader.reachEnd(ParquetRecordReader.java:207)
>       at 
> org.apache.flink.formats.parquet.ParquetInputFormat.reachedEnd(ParquetInputFormat.java:233)
>       at 
> org.apache.flink.streaming.api.functions.source.ContinuousFileReaderOperator$SplitReader.run(ContinuousFileReaderOperator.java:327)
> {code}
> Thanks!



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