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  1. Spark
  2. SPARK-21646

Add new type coercion rules to compatible with Hive

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Won't Fix
    • Affects Version/s: 2.2.0
    • Fix Version/s: None
    • Component/s: SQL
    • Labels:
      None

      Description

      How to reproduce:
      hive:

      $ hive -S
      hive> create table spark_21646(c1 string, c2 string);
      hive> insert into spark_21646 values('92233720368547758071', 'a');
      hive> insert into spark_21646 values('21474836471', 'b');
      hive> insert into spark_21646 values('10', 'c');
      hive> select * from spark_21646 where c1 > 0;
      92233720368547758071	a
      10	c
      21474836471	b
      hive>
      

      spark-sql:

      $ spark-sql -S
      spark-sql> select * from spark_21646 where c1 > 0;
      10      c                                                                       
      spark-sql> select * from spark_21646 where c1 > 0L;
      21474836471	b
      10	c
      spark-sql> explain select * from spark_21646 where c1 > 0;
      == Physical Plan ==
      *Project [c1#14, c2#15]
      +- *Filter (isnotnull(c1#14) && (cast(c1#14 as int) > 0))
         +- *FileScan parquet spark_21646[c1#14,c2#15] Batched: true, Format: Parquet, Location: InMemoryFileIndex[viewfs://cluster4/user/hive/warehouse/spark_21646], PartitionFilters: [], PushedFilters: [IsNotNull(c1)], ReadSchema: struct<c1:string,c2:string>
      spark-sql> 
      

      As you can see, spark auto cast c1 to int type, if this value out of integer range, the result is different from Hive.

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              • Assignee:
                Unassigned
                Reporter:
                yumwang Yuming Wang
              • Votes:
                1 Vote for this issue
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                Dates

                • Created:
                  Updated:
                  Resolved: