https://community.databricks.com/t5/data-engineering/db-connect-giving-different-results/m-p/18853#M12571 <P>The below code gives different result when executed using DB Connect and a Notebook</P><P></P><PRE><CODE>sc = spark.sparkContext a = sc.accumulator(0) rdd = sc.parallelize([1, 2, 3]) def f(x): global a a.add(x) rdd.foreach(f) rdd.count() print(a.value)</CODE></PRE><P></P> Fri, 25 Jun 2021 19:54:34 GMT brickster_2018 2021-06-25T19:54:34Z https://community.databricks.com/t5/data-engineering/db-connect-giving-different-results/m-p/18853#M12571 <P>The below code gives different result when executed using DB Connect and a Notebook</P><P></P><PRE><CODE>sc = spark.sparkContext a = sc.accumulator(0) rdd = sc.parallelize([1, 2, 3]) def f(x): global a a.add(x) rdd.foreach(f) rdd.count() print(a.value)</CODE></PRE><P></P> Fri, 25 Jun 2021 19:54:34 GMT https://community.databricks.com/t5/data-engineering/db-connect-giving-different-results/m-p/18853#M12571 brickster_2018 2021-06-25T19:54:34Z https://community.databricks.com/t5/data-engineering/db-connect-giving-different-results/m-p/18854#M12572 <P>This is a known limitation that accumulators do not work with DB Connect.</P> Fri, 25 Jun 2021 19:55:08 GMT https://community.databricks.com/t5/data-engineering/db-connect-giving-different-results/m-p/18854#M12572 brickster_2018 2021-06-25T19:55:08Z