Hi team, I'm a software developer, working with Apache Spark.
Last week I have encountered a strange issue, which might be a bug. I see different precision for the same BigDecimal value, when calling the map() once against a dataFrame created as val df = sc.parallelize(seq).toDF(), and second when calling map() against a dataFrame created as val df = sc. parallelize(seq).toDF().limit(2) For more details i have created a small example, which can be found at the following link: https://databricks-prod-cloudfront.cloud.databricks.com/publ ic/4027ec902e239c93eaaa8714f173bcfc/7958346027016861/2296698 945593142/5693253843748751/latest.html Hope the example is clear enough. I am waiting for your response. Thank you for your time, Irina Stan
