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Github user fuqiliang commented on the issue: https://github.com/apache/spark/pull/20666 Hi, Thanks for help. And do we have follow-up stories on the data loss in spark2.2? I have tried to use

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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20666 That's not related to this change. The issue itself seems to be a behaviour change between 1.6 and 2.x for treating empty string as null or not in double and float, which is rather a corner

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Github user fuqiliang commented on the issue: https://github.com/apache/spark/pull/20666 for specify, the json file (Sanity4.json) is `{"a":"a1","int":1,"other":4.4} {"a":"a2","int":"","other":""}` code ： > val config = new

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Github user fuqiliang commented on the issue: https://github.com/apache/spark/pull/20666 Hi, guys, I am a spark user. I have a question for this "JSON doesn't support partial results for corrupted records." behavior. In spark 1.6, the partial results is given, but when

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Github user viirya commented on the issue: https://github.com/apache/spark/pull/20666 cc @cloud-fan @HyukjinKwon To keep CSV reader behavior for corrupted records, we don't bother to refactoring. But we should update the document and explicitly disable partial results for corrupted

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