# Spark2x导出带有相同字段名的表，结果导出失败
#### 问题
在Spark2x的spark-shell上执行如下语句失败：
**val acctId = List(("49562", "Amal", "Derry"), ("00000", "Fred", "Xanadu"))**
**val rddLeft = sc.makeRDD(acctId)**
**val dfLeft = rddLeft.toDF("Id", "Name", "City")**
**//dfLeft.show**
**val acctCustId = List(("Amal", "49562", "CO"), ("Dave", "99999", "ZZ"))**
**val rddRight = sc.makeRDD(acctCustId)**
**val dfRight = rddRight.toDF("Name", "CustId", "State")**
**//dfRight.show**
**val dfJoin = dfLeft.join(dfRight, dfLeft("Id") === dfRight("CustId"), "outer")**
**dfJoin.show**
**dfJoin.repartition(1).write.format("com.databricks.spark.csv").option("delimiter", "\\t").option("header", "true").option("treatEmptyValuesAsNulls", "true").option("nullValue", "").save("/tmp/outputDir")**
#### 回答
Spark2x中对join语句重名字段做了判断，需要修改代码保证保存的数据中无重复字段。