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From "sean.miao (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-10119) JsonRowDeserializationSchema deserialize kafka message
Date Tue, 14 Aug 2018 09:11:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-10119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16579489#comment-16579489
] 

sean.miao commented on FLINK-10119:
-----------------------------------

I mean that if there is a record whose format is not json  JsonRowDeserializationSchema#deserialize will
threw IOException and job will failed。A json object with a field missing will be assigned
a null value for that field by call setFailOnMissingField(true) 。

> 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
>            Assignee: buptljy
>            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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