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From Daniel Lanza García (JIRA) <j...@apache.org>
Subject [jira] [Created] (SQOOP-1600) Exception when import data using Data Connector for Oracle with TIMESTAMP column type to Parquet files
Date Wed, 22 Oct 2014 14:55:33 GMT
Daniel Lanza García created SQOOP-1600:
------------------------------------------

             Summary: Exception when import data using Data Connector for Oracle with TIMESTAMP
column type to Parquet files
                 Key: SQOOP-1600
                 URL: https://issues.apache.org/jira/browse/SQOOP-1600
             Project: Sqoop
          Issue Type: Bug
    Affects Versions: 1.4.5
         Environment: Hadoop version: 2.5.0-cdh5.2.0
Sqoop: 1.4.5
            Reporter: Daniel Lanza García
             Fix For: 1.4.6


A error is thrown in each mapper when a import job is run using Quest data connector for Oracle
(-direct argument), the source table has a column of the type timestamp and the destination
files are of Parquet format.

The mapper's log show that the error is the following:
WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.avro.UnresolvedUnionException:
Not in union ["long","null"]: 2012-7-1 0:4:44. 403000000
Which means the data obtained by the mapper (by the connector) is not of the same type that
the schema describe in this field. As we can read in the error, the problem is related with
the column UTC_STAMP (the unique column in the source table that store a time stamp).
If we check the generated schema for this column, we can observe that the column is of the
type long and SQL data type TIMESTAMP (93), which is correct.
Schema: {"name" : "UTC_STAMP","type" : [ "long", "null" ],"columnName" : "UTC_STAMP","sqlType"
: "93"}
If we debug the method where the exception is thrown (org.apache.avro.generic.GenericData.resolveUnion(GenericData.java:605)),
we can see that the problem comes when the type of the data obtained by the mapper is of the
type String which doesn't correspond with the type described by the schema (long).
The exception is not thrown when the destination files are text files. The reason is that
when you import to text files, a schema is not generated.
Solution

In the documentation, there is a section which describe how manage data and timestamps when
you use the Data Connector for Oracle and Hadoop. As we can read in this section, this connector
has a different way to manage this type of data. However, this behavior can be disabled as
describe this section with the below parameter.
-Doraoop.timestamp.string=false

Although the problem is solved with this parameter (mandatory if you are in this conditions),
the software should deal with this types of column and doesn't throw an exception.




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