sparksql語法，通過對映方式讀txt

inferring the schema using reflection（通過對映指定schema）

--宣告乙個類
scala> case class person(name: string, age: int)
defined class person
--讀取txt檔案內容，然後對映到類的字段，轉化成dataframe
scala> val people = sc.textfile("hdfs://node1:8020/test/input/people.txt").map(_.split(",")).map(p => person(p(0), p(1).trim.toint)).todf()
people: org.apache.spark.sql.dataframe = [name: string, age: int]
--變數註冊成表，表名為people
scala> people.registertemptable("people");
--執行sql
scala> val teenagers=sqlcontext.sql("select name,age from people where age>=13 and age<=19")
teenagers: org.apache.spark.sql.dataframe = [name: string, age: int]
scala> teenagers.show
+------+---+
|  name|age|
+------+---+
|justin| 19|
+------+---+
scala> teenagers.select("name").show
+------+
|  name|
+------+
|justin|
+------+
scala> teenagers.count
res19: long = 1
--通過位置訪問
scala> teenagers.map(t => "name: " + t(0)).collect().foreach(println)
name: justin
--通過字段訪問
scala> teenagers.map(t => "name: " + t.getas[string]("name")).collect().foreach(println)
name: justin
--轉化成map對
scala> teenagers.map(_.getvaluesmap[any](list("name", "age"))).collect().foreach(println)
map(name -> justin, age -> 19)

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