Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

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
, 3 months 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
, 1 year 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
, 10 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$3.apply(TreeNode.scala:279)	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)