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https://issues.apache.org/jira/browse/AVRO-2032?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17900977#comment-17900977
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Raphael Rösch commented on AVRO-2032:
-------------------------------------
[~zoltan_csizmadia] this issue has been created for the "component" {{java}}
but the respective PR [avro#3066|https://github.com/apache/avro/pull/3066] has
not been merged. The merged PR
([avro#3070|https://github.com/apache/avro/pull/3070]) is only about the C#
implementation.
_Resolving_ this issue is thus a bit misleading …
> Unable to decode JSON-encoded Double.NaN, Double.POSITIVE_INFINITY or
> Double.NEGATIVE_INFINITY
> ----------------------------------------------------------------------------------------------
>
> Key: AVRO-2032
> URL: https://issues.apache.org/jira/browse/AVRO-2032
> Project: Apache Avro
> Issue Type: Bug
> Components: java
> Affects Versions: 1.8.1
> Reporter: Pieter Dekinder
> Assignee: Zoltan Csizmadia
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.13.0
>
> Time Spent: 2h
> Remaining Estimate: 0h
>
> When using the JsonEncoder to serialize Double.NaN, Double.POSITIVE_INFINITY
> or Double.NEGATIVE_INFINITY to resulting JSON cannot be parsed by the
> JsonDencoder.
> An AvroTypeException is thrown with the message "Expected double. Got
> VALUE_STRING".
> When using BinaryEncoder/BinaryDecoder, it works fine.
> This JUnit code snippet will reproduce the issue:
> {code}
> @Test
> public void test() throws Exception {
> Schema schema = SchemaBuilder.builder()
> .record("record")
> .fields()
> .optionalDouble("number1")
> .optionalDouble("number2")
> .optionalDouble("number3")
> .endRecord();
> GenericData.Record record = new GenericData.Record(schema);
> record.put("number1", Double.NaN);
> record.put("number2", Double.POSITIVE_INFINITY);
> record.put("number3", Double.NEGATIVE_INFINITY);
> ByteArrayOutputStream out = new ByteArrayOutputStream();
> JsonEncoder encoder = EncoderFactory.get().jsonEncoder(schema, out);
> new GenericDatumWriter<GenericRecord>(schema).write(record, encoder);
> encoder.flush();
> System.out.println(out);
> Decoder decoder = DecoderFactory.get().jsonDecoder(schema,
> out.toString());
> GenericData.Record deserialized = new GenericData.Record(schema);
> new GenericDatumReader<GenericRecord>(schema).read(deserialized,
> decoder);
> }
> {code}
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