Hi Taylor, I am providing the code to show how I am using xcom pull and push, yes the push is succeeding to the database. But, the behaviour that I observed is when execute() is called for retry, xcom values are deleted from the table for combination of <dag_id, task_id, execution_date> Then I searched for this in the Airflow code and I found that clear_xcom_data() is called before the execute() starts.(providing this code as well). We are using Airflow 1.9
def execute(self, context, **kwargs): pull_response = ti.xcom_pull(key='computeResponse', task_ids=None) logging.info("pull pull_response %s", pull_response) ti.xcom_push('computeResponse', self.compute_response) ################ def clear_xcom_data(self, session=None): """ Clears all XCom data from the database for the task instance """ self.log.info('------------------->>>>> c') session.query(XCom).filter( XCom.dag_id == self.dag_id, XCom.task_id == self.task_id, XCom.execution_date == self.execution_date ).delete() session.commit() On Sun, Sep 9, 2018 at 1:20 AM Taylor Edmiston <tedmis...@gmail.com> wrote: > XComs push and pull should work as expected when a task is retried. It > shouldn't make a difference, but are you using XComs with explicit keys or > the implicit return-based style? Is the push succeeding to the database? > > Also can you show a simplified example of your code for this DAG? > > Taylor > > On Thu, Sep 6, 2018 at 12:48 PM Ben Gregory <b...@astronomer.io> wrote: > > > Hi Mishika -- > > > > Posting this question on StackOverflow with some code examples you're > using > > will likely be the fastest way to have this addressed. > > > > Just make sure to tag it with "airflow" so people can find it. > > > > - Ben > > > > On Thu, Sep 6, 2018 at 12:12 AM Mishika Singh <mishik...@gmail.com> > wrote: > > > > > I am pushing some [key,value] using xcom in an operator, which I want > to > > > use when that task fails and comes for retry, for which I am using > > > xcom_pull in that operator. But it is returning None instead of that > > value. > > > Any pointer around this will be helpful. > > > > > > > > > -- > > > Regards > > > Mishika Singh > > > > > > > > > -- > > > > [image: Astronomer Logo] <https://www.astronomer.io/> > > > > *Ben Gregory* > > Data Engineer > > > > Mobile: +1-615-483-3653 • Online: astronomer.io < > > https://www.astronomer.io/> > > > > Download our new ebook. <http://marketing.astronomer.io/guide/> From > > Volume > > to Value - A Guide to Data Engineering. > > > -- > *Taylor Edmiston* > Blog <https://blog.tedmiston.com/> | CV > <https://stackoverflow.com/cv/taylor> | LinkedIn > <https://www.linkedin.com/in/tedmiston/> | AngelList > <https://angel.co/taylor> | Stack Overflow > <https://stackoverflow.com/users/149428/taylor-edmiston> > -- Regards Mishika Singh