AKhatun_WMF added a comment.

  In T303831#8058159 <https://phabricator.wikimedia.org/T303831#8058159>, 
@EBernhardson wrote:
  
  > the airflow patch is deployed but i only turned on *_init dags and 
subgraph_mapping_weekly today (ran out of time, will do rest tomorrow).
  >
  > subgraph_mapping_weekly failed the first time through. I updated executor 
memory from 8g to 12g but the second execution is still failing. something is 
quite unbalanced about the topSubgraphItems, of the 8 shards they have inputs 
varying from 100MB to 450MB giving executions times of ~30s on the small ones 
and ~8m before the final one fails.
  >
  > Not specifically related to this patch, but i wonder if we could change up 
the `SparkUtils.saveTables`  method to somehow take parameters in the path to 
specify coalesce vs repartition and the number of partitions to save by, so we 
only have to update the airflow invocation and not the jar as well to test 
variations there.
  
  Should we have params called `coalesce`, and `repartition`, and have them 
default to false. And when true, use `num_partitions` to coalesce or 
repartition accordingly?

TASK DETAIL
  https://phabricator.wikimedia.org/T303831

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