org.apache.spark.sql.AnalysisException: Window function rownumber() requires window to be ordered, please add ORDER BY clause. For example SELECT rownumber()(value_expr) OVER (PARTITION BY window_partition ORDER BY window_ordering) from table;

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via GitHub by kevinushey
, 1 year ago
Window function rownumber() requires window to be ordered, please add ORDER BY clause. For example SELECT rownumber()(value_expr) OVER (PARTITION BY window_partition ORDER BY window_ordering) from table;
via Stack Overflow by maher
, 1 month ago
expression '`qte`' 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.;
via Stack Overflow by Jaime Caffarel
, 11 months ago
Window Frame RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW must match the required frame ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING;
via Stack Overflow by nameBrandon
, 2 years ago
Could not resolve window function 'lag'. Note that, using window functions currently requires a HiveContext;
via Stack Overflow by oluies
, 1 year ago
Could not resolve window function 'avg'. Note that, using window functions currently requires a HiveContext;
via Stack Overflow by Shiva Shinde
, 8 months ago
expression 'category' 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.;
org.apache.spark.sql.AnalysisException: Window function rownumber() requires window to be ordered, please add ORDER BY clause. For example SELECT rownumber()(value_expr) OVER (PARTITION BY window_partition ORDER BY window_ordering) from table;
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:40)
at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:58)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowOrder$$anonfun$apply$30$$anonfun$applyOrElse$11.applyOrElse(Analyzer.scala:1804)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowOrder$$anonfun$apply$30$$anonfun$applyOrElse$11.applyOrElse(Analyzer.scala:1802)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)

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