[jira] [Commented] (FLINK-10119) JsonRowDeserializationSchema deserialize kafka message

["Timo Walther (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-10119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16576013#comment-16576013 ] 

Timo Walther commented on FLINK-10119:
--------------------------------------

Thanks for opening this issue. +1 for this, it would be useful to get information about the error as an additional field. This should be configurable in the format. 

> JsonRowDeserializationSchema deserialize kafka message
> ------------------------------------------------------
>
>                 Key: FLINK-10119
>                 URL: https://issues.apache.org/jira/browse/FLINK-10119
>             Project: Flink
>          Issue Type: Bug
>          Components: Kafka Connector
>    Affects Versions: 1.5.1
>         Environment: 无
>            Reporter: sean.miao
>            Priority: Major
>
> Recently, we are using Kafka010JsonTableSource to process kafka's json messages.We turned on checkpoint and auto-restart strategy .
> We found that as long as the format of a message is not json, it will cause the job to not be pulled up. Of course, this is to ensure that only once processing or at least once processing, but the resulting application is not available and has a greater impact on us.
> the code is :
> class : JsonRowDeserializationSchema
> function :
> @Override
>  public Row deserialize(byte[] message) throws IOException {
>  try
> { final JsonNode root = objectMapper.readTree(message); return convertRow(root, (RowTypeInfo) typeInfo); }
> catch (Throwable t)
> { throw new IOException("Failed to deserialize JSON object.", t); }
> }
> now ,i change it to  :
> public Row deserialize(byte[] message) throws IOException {
>  try
> { JsonNode root = this.objectMapper.readTree(message); return this.convertRow(root, (RowTypeInfo)this.typeInfo); }
> catch (Throwable var4) {
>  message = this.objectMapper.writeValueAsBytes("{}");
>  JsonNode root = this.objectMapper.readTree(message);
>  return this.convertRow(root, (RowTypeInfo)this.typeInfo);
>  }
>  }
>  
> I think that data format errors are inevitable during network transmission, so can we add a new column to the table for the wrong data format? like spark sql does。
>  



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