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加入数据帧spark java

[英]join in a dataframe spark java

First of all, thank you for the time in reading my question. 首先,感谢您抽出时间阅读我的问题。

My question is the following: In Spark with Java, i load in two dataframe the data of two csv files. 我的问题如下:在Spark with Java中,我在两个数据帧中加载了两个csv文件的数据。

These dataframes will have the following information. 这些数据框将具有以下信息。

Dataframe Airport Dataframe机场

Id | Name    | City
-----------------------
1  | Barajas | Madrid

Dataframe airport_city_state Dataframe airport_city_state

City | state
----------------
Madrid | España

I want to join these two dataframes so that it looks like this: 我想加入这两个数据帧,使它看起来像这样:

dataframe result 数据帧结果

Id | Name    | City   | state
--------------------------
1  | Barajas | Madrid | España

Where dfairport.city = dfaiport_city_state.city 其中dfairport.city = dfaiport_city_state.city

But I can not clarify with the syntax so I can do the join correctly. 但是我无法用语法来澄清所以我可以正确地进行连接。 A little code of how I have created the variables: 我如何创建变量的一些代码:

 // Load the csv, you have to specify that you have header and what delimiter you have
Dataset <Row> dfairport = Load.Csv (sqlContext, data_airport);
Dataset <Row> dfairport_city_state = Load.Csv (sqlContext,   data_airport_city_state);


// Change the name of the columns in the csv dataframe to match the columns in the database
// Once they match the name we can insert them
Dfairport
.withColumnRenamed ("leg_key", "id")
.withColumnRenamed ("leg_name", "name")
.withColumnRenamed ("leg_city", "city")

dfairport_city_state
.withColumnRenamed("city", "ciudad")
.withColumnRenamed("state", "estado");

You can use join method with column name to join two dataframes, eg: 您可以使用带有列名的join方法来连接两个数据帧,例如:

Dataset <Row> dfairport = Load.Csv (sqlContext, data_airport);
Dataset <Row> dfairport_city_state = Load.Csv (sqlContext,   data_airport_city_state);

Dataset <Row> joined = dfairport.join(dfairport_city_state, dfairport_city_state("City"));

There is also an overloaded version that allows you to specify the join type as third argument, eg: 还有一个重载版本,允许您将join类型指定为第三个参数,例如:

Dataset <Row> joined = dfairport.join(dfairport_city_state, dfairport_city_state("City"), "left_outer");

Here 's more on joins. 这里的更多的连接。

First, thank you very much for your response. 首先,非常感谢您的回复。

I have tried both of my solutions but none of them work, I get the following error: The method dfairport_city_state (String) is undefined for the type ETL_Airport 我已经尝试了我的两个解决方案,但没有一个工作,我得到以下错误:方法dfairport_city_state(String)未定义类型ETL_Airport

I can not access a specific column of the dataframe for join. 我无法访问数据框的特定列以进行连接。

EDIT: Already got to do the join, I put here the solution in case someone else helps;) 编辑:已经做了加入,我把这个解决方案放在这里以防其他人帮忙;)

Thanks for everything and best regards 感谢您的一切和最好的问候

//Join de tablas en las que comparten ciudad
Dataset <Row> joined = dfairport.join(dfairport_city_state, dfairport.col("leg_city").equalTo(dfairport_city_state.col("city")));

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