[jira] [Updated] (FLINK-10280) json that contains an object can not be parsed

["Robert Metzger (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-10280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Robert Metzger updated FLINK-10280:
-----------------------------------
    Component/s:     (was: Batch Connectors and Input/Output Formats)
                 Formats (JSON, Avro, Parquet, ORC, SequenceFile)

> json that contains an object can not be parsed
> ----------------------------------------------
>
>                 Key: FLINK-10280
>                 URL: https://issues.apache.org/jira/browse/FLINK-10280
>             Project: Flink
>          Issue Type: Bug
>          Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
>    Affects Versions: 1.6.0
>            Reporter: sean.miao
>            Priority: Major
>
> h3. *problem*
> data like ：
> {"key":"\\{\"key\":1}
> "}
> can be parsed correctly;
>  
> but data like ：
> {"key":\{"key":1}}
> cannot be parsed correctly.
>  
> h3. *code position：*
> JsonRowDeserializationSchema#convert
> else {
>  // for types that were specified without JSON schema
>  // e.g. POJOs
>  try
> { return objectMapper.treeToValue(node, info.getTypeClass()); }
> catch (JsonProcessingException e)
> { throw new IllegalStateException("Unsupported type information '" + info + "' for node: " + node); }
> }
> h3.  *error msg：*
> java.lang.IllegalStateException: Unsupported type information 'String' for node: \{"title":"aaa","test":"ttt"}
>  at org.apache.flink.formats.json.JsonRowDeserializationSchema.convert(JsonRowDeserializationSchema.java:130)
>  at org.apache.flink.formats.json.JsonRowDeserializationSchema.convertRow(JsonRowDeserializationSchema.java:183)
>  at org.apache.flink.formats.json.JsonRowDeserializationSchema.deserialize(JsonRowDeserializationSchema.java:72)
>  at org.apache.flink.formats.json.JsonRowDeserializationSchema.deserialize(JsonRowDeserializationSchema.java:44)
>  at org.apache.flink.streaming.util.serialization.KeyedDeserializationSchemaWrapper.deserialize(KeyedDeserializationSchemaWrapper.java:44)
>  at org.apache.flink.streaming.connectors.kafka.internal.Kafka09Fetcher.runFetchLoop(Kafka09Fetcher.java:142)
>  at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:738)
>  at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:87)
>  at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:56)
>  at org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:99)
>  at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
>  at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
>  at java.lang.Thread.run(Thread.java:748)
>  
> h3. *My solution is as follows:*
> else {
>  // for types that were specified without JSON schema
>  // e.g. POJOs
>  try
> { return objectMapper.treeToValue(node, info.getTypeClass()); }
> catch (JsonProcessingException e)
> { return node.toString }
> }



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