You can add "?zeroDateTimeBehavior=convertToNull" to the connection string.
On Wed, Jun 21, 2017 at 9:04 AM, Aviral Agarwal <aviral12...@gmail.com> wrote: > The exception is happening in JDBC RDD code where getNext() is called to > get the next row. > I do not have access to the result set. I am operating on a DataFrame. > > Thanks and Regards, > Aviral Agarwal > > On Jun 21, 2017 17:19, "Mahesh Sawaiker" <mahesh_sawai...@persistent.com> > wrote: > >> This has to do with how you are creating the timestamp object from the >> resultset ( I guess). >> >> If you can provide 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.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 '0000-00-00 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 leads on how that can be done ? >> >> >> Thanks and Regards, >> Aviral Agarwal >> DISCLAIMER >> ========== >> This e-mail may contain privileged and confidential information which is >> the property of Persistent Systems Ltd. It is intended only for the use of >> the individual or entity to which it is addressed. If you are not the >> intended recipient, you are not authorized to read, retain, copy, print, >> distribute or use this message. If you have received this communication in >> error, please notify the sender and delete all copies of this message. >> Persistent Systems Ltd. does not accept any liability for virus infected >> mails. >> >
