使用左外连接的火花不能加入数据帧

Question

我想连接2个基于df1.portfolio名称的数据帧到df2.portId 生成的数据帧我不想重复相同的密钥。

这里是我到目前为止的代码

val df = spark.read.json("C:\\json\\portmast") 
val pgetsec = spark.read.json("C:\\json\\pgetsec") 


val portfolio_master = df.select("PortfolioCode","Legal Entity Name","Asofdate") 
val pgetsecs= pgetsec.select("TransId", "SecId","portId","GaapCurBkBal","ParBal","SetlDt","SetlPric","OrgBkBal","TradeDt","StatCurBkBal","NaicRtg","SecurityTypeCode","CamraSecType","FundType","CountryIso") 
val pg = portfolio_master.join(pgetsec,Seq("PortfolioCode","portId"),"left_outer") 

我得到的错误是
Exception in thread "main" org.apache.spark.sql.AnalysisException: using columns ['PortfolioCode,'portId] can not be resolved given input columns: 最终JSON应该是这样的

|-- Portfolio Code: string (nullable = true) 
|-- Legal Entity Name: string (nullable = true) 
|-- Asofdate: string (nullable = true) 

((SI, S&P 500 Index,9/30/2016),[0.0,Equity,Common Stock]) 
((SI, S&P 500 Index,9/30/2016),[0.0,Equity,Common Stock]) 
((SI, S&P 500 Index,9/30/2016),[0.0,Equity,Common Stock]) 
[SI1, S&P 500 Index,9/30/2016,CompactBuffer([0.0,Equity,Common  Stock], [0.0,Equity,Common Stock], [0.0,Equity,Common Stock])] 
root 
|-- Portfolio Code: string (nullable = true) 
|-- Legal Entity Name: string (nullable = true) 
|-- Asofdate: string (nullable = true) 
|-- Security: array (nullable = true) 
| |-- element: struct (containsNull = true) 
| | |-- BondPrice: double (nullable = true) 
| | |-- CoreSectorLevel1Code: string (nullable = true) 
| | |-- CoreSectorLevel2Code: string (nullable = true) 

+--------------+-------------------+---------+--------------------+ 
|Portfolio Code| Legal Entity Name| Asofdate|   Security| 
+--------------+-------------------+---------+--------------------+ 
|   SI | S&P 500 Index  |9/30/2016|[[0.0,Equity,Comm...| 
+--------------+-------------------+---------+--------------------+ 

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Answer 1

portfolio_master中不存在PortfolioCode不存在于pgetsec中。如果您重新阅读完整的错误消息，您会看到它解释了这一点，因为它还显示可用的列。

你想要的是portfolio_master("PortfolioCode") === pgetsec("portId")作为你的连接条件。