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https://issues.apache.org/jira/browse/SPARK-18148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614773#comment-15614773
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Jiang Xingbo commented on SPARK-18148:
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[[email protected]] I've reproduced this bug, will submit a PR to
resolve it. Thanks!
> 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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