Why does a cell with multiple PySpark "save" operations fail on Zeppelin Notebook?

Question

I have a Zepellin (PySpark) notebook which writes two dataframes to Google Storage buckets in the end, in a single cell, which runs into the following error:

Py4JJavaError: An error occurred while calling o1190.save.
: java.lang.StackOverflowError
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:241)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:406)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:359)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.rewrite$1(QueryPlan.scala:192)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$transformUpWithNewOutput$1(QueryPlan.scala:193)
    at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:408)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:244)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:406)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:359)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.rewrite$1(QueryPlan.scala:192)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$transformUpWithNewOutput$1(QueryPlan.scala:193)
    at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:408)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:244)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:406)
    at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:359)
    at org.apache.spark.sql.catalyst.plans.QueryPlan.rewrite$1(QueryPlan.scala:192)
    

But I can get it to work if I split the writes to two different cells. Is there a limit in terms of resources available to a single cell in Zeppelin? It'd be great if there's some documentation on how the notebook utilizes available resources.