patrickliu created SPARK-4252:
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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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