Dataframe spark数据帧在加入后未正确分割

我有3个spark数据帧，希望将它们加入BAQ列，并从division（

dtfAvgEnd（“avg（AAG）”）/dtfAvgWeek（“avg（AAG）”

）和

dtfAvgLong（“avg（AAG）”）/dtfAvgWeek（“avg（AAG）”）创建2个新列

我得到了这个。所以Rati_长时间工作，但Rati_结束不了。我不明白出了什么问题

scala>   dtfRatiConsSing.
     |   show(20,false);
+----------------------+------------------+------------------+------------------+--------+------------------+
|BAQ                   |avg(AAG)          |avg(AAG)          |avg(AAG)          |Rati_End|Rati_long         |
+----------------------+------------------+------------------+------------------+--------+------------------+
|3310101041401034198668|147.66606060606063|58.360833333333346|121.46857142857142|1.0     |0.8225896386077629|

我重新命名了AVG列，它成功了。
我无法用您提供的数据重现此问题。也许你的代码中有一个打印错误？作为一个更好的实践，考虑重新命名你的列，这样就不会有重复的列名。
scala>   dtfRatiConsSing.
     |   show(20,false);
+----------------------+------------------+------------------+------------------+--------+------------------+
|BAQ                   |avg(AAG)          |avg(AAG)          |avg(AAG)          |Rati_End|Rati_long         |
+----------------------+------------------+------------------+------------------+--------+------------------+
|3310101041401034198668|147.66606060606063|58.360833333333346|121.46857142857142|1.0     |0.8225896386077629|

scala> dtfRatiCons.filter("BAQ='3310101041401034198668'").show(10,false);
+----------------------+------------------+-----------------+------------------+------------------+------------------+
|BAQ                   |AVGWeek           |AVGEnd           |AVGLong           |Rati_End          |Rati_long         |
+----------------------+------------------+-----------------+------------------+------------------+------------------+
|3310101041401034198668|147.66606060606063|58.36083333333334|121.46857142857142|0.3952217123813354|0.8225896386077629|
+----------------------+------------------+-----------------+------------------+------------------+------------------+