[jira] [Created] (SPARK-4252) SparkSQL behaves differently from Hive when encountering illegal record

["patrickliu (JIRA)" <ji...@apache.org>]

patrickliu created SPARK-4252:
---------------------------------

             Summary: SparkSQL behaves differently from Hive when encountering illegal record
                 Key: SPARK-4252
                 URL: https://issues.apache.org/jira/browse/SPARK-4252
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.1.0
            Reporter: patrickliu


Hive will ignore illegal record, while SparkSQL will try to convert illegal record.

Assume I have a text file user.txt with 2 records(userName, age):
Alice,12.4
Bob,13

Then I create a Hive table to query the data:
CREATE TABLE user(
    name string,
    age int,
) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' ;

LOAD DATA LOCAL INPATH 'user' INTO TABLE user;

Then I use Hive and SparkSQL to query the 'user' table:
SQL: select * from user;

Result by Hive:
Alice NULL( Hive ignore Alice's age because it is a float number )
Bob 13

Result by SparkSQL:
Alice 12 ( SparkSQL converts Alice's age from float to int )
Bob 13

So if I run, "select sum(age) from user;"
Then I will get different result.

Maybe SparkSQL should be compatible with Hive in this scenario.



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