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https://issues.apache.org/jira/browse/SPARK-4252?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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patrickliu updated SPARK-4252:
------------------------------
Description:
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, (Pay attention! The field is 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.
was:
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.
> 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, (Pay attention! The field is 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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