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  1. Spark
  2. SPARK-6504

Cannot read Parquet files generated from different versions at once

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.2.1
    • Fix Version/s: 1.3.1
    • Component/s: SQL
    • Labels:
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      Description

      When trying to read Parquet files generated by Spark 1.1.1 and 1.2.1 at the same time via `sqlContext.parquetFile("fileFrom1.1.parqut,fileFrom1.2.parquet")` an exception occurs:

      could not merge metadata: key org.apache.spark.sql.parquet.row.metadata has conflicting values: [{"type":"struct","fields":[{"name":"date","type":"string","nullable":true,"metadata":{}},{"name":"account","type":"string","nullable":true,"metadata":{}},{"name":"impressions","type":"long","nullable":false,"metadata":{}},{"name":"cost","type":"double","nullable":false,"metadata":{}},{"name":"clicks","type":"long","nullable":false,"metadata":{}},{"name":"conversions","type":"long","nullable":false,"metadata":{}},{"name":"orderValue","type":"double","nullable":false,"metadata":{}}]}, StructType(List(StructField(date,StringType,true), StructField(account,StringType,true), StructField(impressions,LongType,false), StructField(cost,DoubleType,false), StructField(clicks,LongType,false), StructField(conversions,LongType,false), StructField(orderValue,DoubleType,false)))]

      The Schema is exactly equal.

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            • Assignee:
              marmbrus Michael Armbrust
              Reporter:
              msoutier Marius Soutier
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              Dates

              • Created:
                Updated:
                Resolved: