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Posted to issues@spark.apache.org by "Maxim Gekk (JIRA)" <ji...@apache.org> on 2018/11/22 21:45:00 UTC

[jira] [Created] (SPARK-26151) Return partial results for bad CSV records

Maxim Gekk created SPARK-26151:
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             Summary: Return partial results for bad CSV records
                 Key: SPARK-26151
                 URL: https://issues.apache.org/jira/browse/SPARK-26151
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.4.0
            Reporter: Maxim Gekk


Currently, CSV datasource and from_csv returns a rows with all nulls for bad CSV records in the PERMISSIVE mode even some of fields were parsed and converted successfully. For example, the CSV input:
{code}
0,2013-111-11 12:13:14
1,1983-08-04
{code}
for the first line returned row is Row(null, null) but value 0 can be parsed and converted successfully. And result can be Row(0, null). This ticket aims to change implementation of UnivocityParser and return the partial result.



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