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Posted to issues@spark.apache.org by "Burak Yavuz (JIRA)" <ji...@apache.org> on 2017/07/18 20:17:01 UTC

[jira] [Created] (SPARK-21463) Output of StructuredStreaming tables don't respect user specified schema when reading back the table

Burak Yavuz created SPARK-21463:
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             Summary: Output of StructuredStreaming tables don't respect user specified schema when reading back the table
                 Key: SPARK-21463
                 URL: https://issues.apache.org/jira/browse/SPARK-21463
             Project: Spark
          Issue Type: Bug
          Components: SQL, Structured Streaming
    Affects Versions: 2.2.0
            Reporter: Burak Yavuz


When using the MetadataLogFileIndex to read back a table, we don't respect the user provided schema as the proper column types. This can lead to issues when trying to read strings that look like dates that get truncated to DateType, or longs being truncated to IntegerType, just because a long value doesn't exist.



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