启动spark-shell后,准备数据文件D:/Dump/SparkDB/people.txt
Michael, 29
Andy, 30
Justin, 19
scala> val file = sc.textFile("D:/Dump/SparkDB/people.txt")
file: org.apache.spark.rdd.RDD[String] = D:/Dump/SparkDB/people.txt MapPartitionsRDD[1] at textFile at <console>:24
scala> file.cache
res0: file.type = D:/Dump/SparkDB/people.txt MapPartitionsRDD[1] at textFile at <console>:24
scala> file.collect
res1: Array[String] = Array(Michael, 29, Andy, 30, Justin, 19)
准备数据文件D:/Dump/SparkDB/people.json
{"name":"jack","age":12}
{"name":"lili","age":22}
{"name":"cc","age":11}
{"name":"vv","age":13}
{"name":"lee","age":14}
scala> import spark.implicits._
import spark.implicits._
scala> import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.SparkSession
scala> val spark = SparkSession.builder().appName("Spark SQL basic example").getOrCreate()
19/12/05 14:50:58 WARN SparkSession$Builder: Using an existing SparkSession; some configuration may not take effect.
spark: org.apache.spark.sql.SparkSession = org.apache.spark.sql.SparkSession@79cfc008
scala> val df = spark.read.json("D:/Dump/SparkDB/people.json")
df: org.apache.spark.sql.DataFrame = [age: bigint, name: string]
scala> df.createOrReplaceTempView("people")
scala> val sqlDF = spark.sql("SELECT * FROM people")
sqlDF: org.apache.spark.sql.DataFrame = [age: bigint, name: string]
scala> sqlDF.show()
+---+----+
|age|name|
+---+----+
| 12|jack|
| 22|lili|
| 11| cc|
| 13| vv|
| 14| lee|
+---+----+
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