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I had searched in the issues and found no similar issues.
Description
source data incude chinese word may cause some problem
Reason: actual column number is less than schema column number.actual number: 10, column separator: [ ], line delimiter: [
],
can spark like flink connetor read data by json format to avoid the problem
JSON格式导入
'sink.properties.format' = 'json' 'sink.properties.read_json_by_line' = 'true'
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Description
source data incude chinese word may cause some problem
Reason: actual column number is less than schema column number.actual number: 10, column separator: [ ], line delimiter: [
],
can spark like flink connetor read data by json format to avoid the problem
JSON格式导入
'sink.properties.format' = 'json' 'sink.properties.read_json_by_line' = 'true'
Solution
No response
Are you willing to submit PR?
Code of Conduct
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