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Posted to commits@hudi.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/10/20 16:48:00 UTC
[jira] [Updated] (HUDI-2592) NumberFormatException: Zero length
BigInteger when write.precombine.field is decimal type
[ https://issues.apache.org/jira/browse/HUDI-2592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated HUDI-2592:
---------------------------------
Labels: pull-request-available (was: )
> NumberFormatException: Zero length BigInteger when write.precombine.field is decimal type
> -----------------------------------------------------------------------------------------
>
> Key: HUDI-2592
> URL: https://issues.apache.org/jira/browse/HUDI-2592
> Project: Apache Hudi
> Issue Type: Bug
> Components: Common Core
> Reporter: Matrix42
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0, 0.11.0
>
>
> when write.precombine.field is decimal type,write decimal will be an empty byte array, when read will throw NumberFormatException: Zero length BigInteger like below:
> {code:java}
> 2021-10-20 17:14:03
> java.lang.NumberFormatException: Zero length BigInteger
> at java.math.BigInteger.<init>(BigInteger.java:302)
> at org.apache.flink.table.data.DecimalData.fromUnscaledBytes(DecimalData.java:223)
> at org.apache.flink.connectors.hudi.util.AvroToRowDataConverters.lambda$createDecimalConverter$4dc14f00$1(AvroToRowDataConverters.java:158)
> at org.apache.flink.connectors.hudi.util.AvroToRowDataConverters.lambda$createNullableConverter$4568343a$1(AvroToRowDataConverters.java:94)
> at org.apache.flink.connectors.hudi.util.AvroToRowDataConverters.lambda$createRowConverter$68595fbd$1(AvroToRowDataConverters.java:75)
> at org.apache.flink.connectors.hudi.table.format.mor.MergeOnReadInputFormat$1.hasNext(MergeOnReadInputFormat.java:300)
> at org.apache.flink.connectors.hudi.table.format.mor.MergeOnReadInputFormat$LogFileOnlyIterator.reachedEnd(MergeOnReadInputFormat.java:362)
> at org.apache.flink.connectors.hudi.table.format.mor.MergeOnReadInputFormat.reachedEnd(MergeOnReadInputFormat.java:202)
> at org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:90)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
> at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:213)
> {code}
> analyze:
>
> HoodieAvroUtils.getNestedFieldVal will invoked to extract precombine field.
> next will invoke convertValueForAvroLogicalTypes. when field is decimal type,the bytebuffer will consumed, we should rewind.
> {code:java}
> private static Object convertValueForAvroLogicalTypes(Schema fieldSchema, Object fieldValue) {
> if (fieldSchema.getLogicalType() == LogicalTypes.date()) {
> return LocalDate.ofEpochDay(Long.parseLong(fieldValue.toString()));
> } else if (fieldSchema.getLogicalType() instanceof LogicalTypes.Decimal) {
> Decimal dc = (Decimal) fieldSchema.getLogicalType();
> DecimalConversion decimalConversion = new DecimalConversion();
> if (fieldSchema.getType() == Schema.Type.FIXED) {
> return decimalConversion.fromFixed((GenericFixed) fieldValue, fieldSchema,
> LogicalTypes.decimal(dc.getPrecision(), dc.getScale()));
> } else if (fieldSchema.getType() == Schema.Type.BYTES) {
>
> //this methoad will consume the byteBuffer
> return decimalConversion.fromBytes((ByteBuffer) fieldValue, fieldSchema,
> LogicalTypes.decimal(dc.getPrecision(), dc.getScale()));
> }
> }
> return fieldValue;
> }
> {code}
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