Github user NarineK commented on the issue: https://github.com/apache/spark/pull/12836 Thank you for the quick responses @sun-rui and @shivaram . Here is how the `dataframe.queyExection.toString` printout starts with: == Parsed Logical Plan == 'SerializeFromObject [if (assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object).isNullAt) null else getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 0, a, IntegerType) AS a#13651, if (assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object).isNullAt) null else getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 1, avg, DoubleType) AS avg#13652] +- 'MapPartitionsInR [88, 10, 0, 0, 0, 2, 0, 3, 2, 3, 0, 2, 3, 0, 0, 0, 6, 3, 0, 0, 4, 2, 0, 0, 0, 1, 0, 4, 0, 9, 0, 0, 0, 6, 115, 114, 99, 114, 101, 102, 0, 0, 3, 13, 0, 0, 0, 8, 0, 0, 8, 84, 0, 0, 0, 5, 0, 0, 8, 86, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 8, 84, 0, 0, 8, 86, 0, 0, 4, 2, 0, 0, 0, 1, 0, 4, 0, 9, 0, 0, 0, 7, 115, 114, 99, 102, 105, 108, 101, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, -2, 0, 0, 0, 19, 0, 0, 0, 29, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 4 ..... It is very possible that the large array is the serialized R function.
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