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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/06/07 19:05:21 UTC

[jira] [Created] (SPARK-15808) Wrong Results or Strange Errors In Append-mode DataFrame Writing Due to Mismatched File Formats

Xiao Li created SPARK-15808:
-------------------------------

             Summary: Wrong Results or Strange Errors In Append-mode DataFrame Writing Due to Mismatched File Formats
                 Key: SPARK-15808
                 URL: https://issues.apache.org/jira/browse/SPARK-15808
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
            Reporter: Xiao Li


Example 1: PARQUET -> CSV

{noformat}
createDF(0, 9).write.format("parquet").saveAsTable("appendParquetToOrc")
createDF(10, 19).write.mode(SaveMode.Append).format("orc").saveAsTable("appendParquetToOrc")
{noformat}

Error we got: 
{noformat}
Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): java.lang.RuntimeException: file:/private/var/folders/4b/sgmfldk15js406vk7lw5llzw0000gn/T/warehouse-bc8fedf2-aa6a-4002-a18b-524c6ac859d4/appendorctoparquet/part-r-00000-c0e3f365-1d46-4df5-a82c-b47d7af9feb9.snappy.orc is not a Parquet file. expected magic number at tail [80, 65, 82, 49] but found [79, 82, 67, 23]
{noformat}

Example 2: Json -> CSV

createDF(0, 9).write.format("json").saveAsTable("appendJsonToCSV")
createDF(10, 19).write.mode(SaveMode.Append).format("parquet").saveAsTable("appendJsonToCSV")

No exception, but wrong results:
{noformat}
+----+----+
|  c1|  c2|
+----+----+
|null|null|
|null|null|
|null|null|
|null|null|
|   0|str0|
|   1|str1|
|   2|str2|
|   3|str3|
|   4|str4|
|   5|str5|
|   6|str6|
|   7|str7|
|   8|str8|
|   9|str9|
+----+----+
{noformat}


Example 3: Json -> Text

createDF(0, 9).write.format("json").saveAsTable("appendJsonToText")
createDF(10, 19).write.mode(SaveMode.Append).format("text").saveAsTable("appendJsonToText")

Error we got: 
{noformat}
Text data source supports only a single column, and you have 2 columns.
{noformat}




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