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https://issues.apache.org/jira/browse/FLINK-14739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dian Fu updated FLINK-14739:
----------------------------
Fix Version/s: (was: 1.9.3)
1.9.4
> add failOnCastException Configuration to Json FormatDescriptor
> --------------------------------------------------------------
>
> Key: FLINK-14739
> URL: https://issues.apache.org/jira/browse/FLINK-14739
> Project: Flink
> Issue Type: Bug
> Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
> Affects Versions: 1.9.1
> Reporter: Jun Zhang
> Priority: Major
> Fix For: 1.9.4
>
>
> When flink read data from kafka (format is json), the schema is defined,
> similar to the following DDL
> {code:java}
> CREATE TABLE kafka_source (
> intotime VARCHAR,
> userinfo ROW<name VARCHAR,age int>
> ) WITH (
> 'connector.type' = 'kafka',
> 'format.type' = 'json',
> .............
> )
> {code}
> But when flink encounters error data, such as the type of userinfo is a
> string, the program will throw the following exception and then fail.
> {code:java}
> Caused by: java.lang.ClassCastException:
> org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.TextNode
> cannot be cast to org.apache.flink.shaded.jackson2.com.fasterxml.jackson.
> databind.node.ObjectNode
> {code}
> I want to find the wrong data and don't want the program to fail. So I want
> to add a json configuration, just like
> org.apache.flink.table.descriptors.Json#failOnMissingField, which allows the
> user to configure.
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