对于我来说，现在正在工作，仅作记录，请引用@MartinSenne答案.

It's working now for me, and just for the record, referencing @MartinSenne answer.

我所做的如下:

1. 清除文件夹项目"下的所有编译文件
2. scala版本 2.10.4 (以前使用2.11.4)
3. 将spark-sql更改为:" org.apache.spark" %%"spark-sql"％"1.4.1"％提供"
4. 将MLlib更改为:"org.apache.spark" %%"spark-mllib"％"1.4.1"％提供"

1. clear all compile files under folder "project"
2. scala version 2.10.4 (previously using 2.11.4)
3. change spark-sql to be: "org.apache.spark" %% "spark-sql" % "1.4.1" % "provided"
4. change MLlib to be: "org.apache.spark" %% "spark-mllib" % "1.4.1" % "provided"

@note:

1. 我已经启动了一个Spark集群，并使用" sh spark-submit/path_to_folder/hello/target/scala-2.10/hello_2.10-1.0.jar "将jar提交给Spark掌握.如果使用sbt通过命令" sbt run "运行将失败.
2. 当从scala-2.11更改为scala-2.10时，请记住jar文件路径和名称也将从" scala-2.11/hello_2.11-1.0.jar "改为" scala-2.10/hello_2.10-1.0.jar ".当我重新打包所有内容时，我忘记更改jar名称的Submit job命令，因此我将其打包为"hello_2.10-1.0.jar"，但提交了"hello_2.10-1.0.jar"，这给我带来了额外的问题. ..
3. 我尝试了"val sqlContext = 新的org.apache.spark.sql.SQLContext(sc)"和"val sqlContext = 新的org.apache.spark.sql.hive". HiveContext(sc)"，两者均与方法 createDataFrame()
一起使用

1. I've already started a Spark cluster and I use "sh spark-submit /path_to_folder/hello/target/scala-2.10/hello_2.10-1.0.jar" to submit jar to Spark master. If use sbt to run by command "sbt run" will fail.
2. when changing from scala-2.11 to scala-2.10, remember that the jar file path and name will also change from "scala-2.11/hello_2.11-1.0.jar" to "scala-2.10/hello_2.10-1.0.jar". when I re-packaged everything, I forgot to change the submit job command for the jar name, so I package into "hello_2.10-1.0.jar" but submitting "hello_2.10-1.0.jar" which caused me extra problem...
3. I tried both "val sqlContext = new org.apache.spark.sql.SQLContext(sc)" and "val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)", both are working with method createDataFrame()