[jira] [Created] (SPARK-21841) Spark SQL doesn't pick up column added in hive when table created with saveAsTable

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

Thomas Graves created SPARK-21841:
-------------------------------------

             Summary: Spark SQL doesn't pick up column added in hive when table created with saveAsTable
                 Key: SPARK-21841
                 URL: https://issues.apache.org/jira/browse/SPARK-21841
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Thomas Graves


If you create a table in Spark sql but then you modify the table in hive to add a column, spark sql doesn't pick up the new column.

Basic example:
{code}
t1 = spark.sql("select ip_address from mydb.test_table limit 1")
t1.show()

+------------+
|  ip_address|
+------------+
|1.30.25.5|
+------------+

t1.write.saveAsTable('mydb.t1')

In Hive:
alter table mydb.t1 add columns (bcookie string)

t1 = spark.table("mydb.t1")
t1.show()
+------------+
|  ip_address|
+------------+
|1.30.25.5|
+------------+
{code}

It looks like its because spark sql is picking up the schema from spark.sql.sources.schema.part.0 rather then from hive. 

Interestingly enough it appears that if you create the table differently like:
spark.sql("create table mydb.t1 select ip_address from mydb.test_table limit 1") 
Run your alter table on mydb.t1
val t1 = spark.table("mydb.t1")  

Then it works properly.

It looks like the difference is when it doesn't work spark.sql.sources.provider=parquet is set.
Its doing this from createDataSourceTable where provider is parquet.



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