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Posted to issues@spark.apache.org by "Pat McDonough (JIRA)" <ji...@apache.org> on 2016/10/28 01:43:58 UTC

[jira] [Created] (SPARK-18148) Misleading Error Message for Aggregation Without Window/GroupBy

Pat McDonough created SPARK-18148:
-------------------------------------

             Summary: Misleading Error Message for Aggregation Without Window/GroupBy
                 Key: SPARK-18148
                 URL: https://issues.apache.org/jira/browse/SPARK-18148
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
         Environment: Databricks
            Reporter: Pat McDonough


The following error message points to a random column I'm not actually using in my query, making it hard to diagnose.

{code}
org.apache.spark.sql.AnalysisException: expression '`randomColumn`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
{code}

Note in the code below, I forgot to add {{.over(weeklyWindow)}} in the line for {{withColumn("user_count"...}}

{code}
spark.read.load("/some-data")
  .withColumn("date_dt", to_date($"date"))
  .withColumn("year", year($"date_dt"))
  .withColumn("week", weekofyear($"date_dt"))
  .withColumn("user_count", count($"userId"))
  .withColumn("daily_max_in_week", max($"user_count").over(weeklyWindow))
)
{code}

CC: [~marmbrus]



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