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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2016/11/28 13:41:58 UTC

[jira] [Created] (SPARK-18610) greatest/leatest fails to run with string aginst date/timestamp

Hyukjin Kwon created SPARK-18610:
------------------------------------

             Summary: greatest/leatest fails to run with string aginst date/timestamp
                 Key: SPARK-18610
                 URL: https://issues.apache.org/jira/browse/SPARK-18610
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: Hyukjin Kwon


It seems Spark SQL fails to implicitly cast (or detect widen type) from string with date/timestamp.

{code}
spark-sql> select greatest("2015-02-02", date("2015-01-01")) ;
Error in query: cannot resolve 'greatest('2015-02-02', CAST('2015-01-01' AS DATE))' due to data type mismatch: The expressions should all have the same type, got GREATEST(string, date).; line 1 pos 7
{code}

It seems, at least, other DBMS support this by implicit casting/widened types.

{code}
hive> select greatest("2015-02-021", date("2015-01-01"));
OK
2015-01-01
Time taken: 0.019 seconds, Fetched: 1 row(s)
hive> select greatest("9999-02-021", date("2015-01-01"));
OK
2015-01-01
Time taken: 0.02 seconds, Fetched: 1 row(s)
hive>
hive> CREATE TEMPORARY TABLE typeof as select greatest("2015-02-02", date("2015-01-01"));
OK
Time taken: 2.63 seconds
hive> DESCRIBE typeof;
OK
_c0                 	date
Time taken: 0.031 seconds, Fetched: 1 row(s)
{code}

{code}
mysql> select greatest("2015-02-02abc", date("2015-01-01"));
+-----------------------------------------------+
| greatest("2015-02-02abc", date("2015-01-01")) |
+-----------------------------------------------+
| 2015-02-02abc                                 |
+-----------------------------------------------+
1 row in set, 1 warning (0.00 sec)

mysql> CREATE TEMPORARY TABLE typeof as select greatest("2015-02-02", date("2015-01-01"));
Query OK, 1 row affected (0.01 sec)
Records: 1  Duplicates: 0  Warnings: 0

mysql> DESCRIBE typeof;
+--------------------------------------------+-------------+------+-----+---------+-------+
| Field                                      | Type        | Null | Key | Default | Extra |
+--------------------------------------------+-------------+------+-----+---------+-------+
| greatest("2015-02-02", date("2015-01-01")) | varchar(10) | YES  |     | NULL    |       |
+--------------------------------------------+-------------+------+-----+---------+-------+
1 row in set (0.00 sec)
{code}

{code}
postgres=# select greatest('2015-02-02abc', date('2015-01-01'));
ERROR:  invalid input syntax for type date: "2015-02-02abc"
LINE 1: select greatest('2015-02-02abc', date('2015-01-01'));

postgres=# CREATE TEMPORARY TABLE typeof as select greatest('2015-02-02', date('2015-01-01'));
SELECT 1

postgres=# \d+ typeof
                      Table "pg_temp_3.typeof"
  Column  | Type | Modifiers | Storage | Stats target | Description
----------+------+-----------+---------+--------------+-------------
 greatest | date |           | plain   |              |
Has OIDs: no
{code}

I tracked down and it seems we want Hive's behaviour assuming from SPARK-12201.



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