he exception.
>>>
>>>
>>>
>>> *From:* Aviral Agarwal [mailto:aviral12...@gmail.com]
>>> *Sent:* Wednesday, June 21, 2017 2:37 PM
>>> *To:* user@spark.apache.org
>>> *Subject:* JDBC RDD Timestamp Parsing Issue
>>>
>>>
>
more code it will help, but you could surround the
>> parsing code with a try catch and then just ignore the exception.
>>
>>
>>
>> *From:* Aviral Agarwal [mailto:aviral12...@gmail.com]
>> *Sent:* Wednesday, June 21, 2017 2:37 PM
>> *To:* user@spark.apac
* Wednesday, June 21, 2017 2:37 PM
> *To:* user@spark.apache.org
> *Subject:* JDBC RDD Timestamp Parsing Issue
>
>
>
> Hi,
>
>
>
> I am using JDBC RDD to read from a MySQL RDBMS.
>
> My spark job fails with the below error :
>
>
>
> java.sql.SQLEx
: Wednesday, June 21, 2017 2:37 PM
To: user@spark.apache.org
Subject: JDBC RDD Timestamp Parsing Issue
Hi,
I am using JDBC RDD to read from a MySQL RDBMS.
My spark job fails with the below error :
java.sql.SQLException: Value '-00-00 00:00:00.000' can not be represented
as java.sql.Times
Hi,
I am using JDBC RDD to read from a MySQL RDBMS.
My spark job fails with the below error :
java.sql.SQLException: Value '-00-00 00:00:00.000' can not be
represented as java.sql.Timestamp
Now instead of the whole job failing I want to skip this record and
continue processing the rest.
Any