需求：统计每日uv
package wujiadong_sparkSQL
import org.apache.spark.sql.{Row, SQLContext}
import org.apache.spark.sql.types._
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.functions._
/**
* Created by Administrator on 2017/3/6.
*/
object DailyUV {
def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("dailyuv")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
val userAccesslog = Array(
"2017-01-01,1122",
"2017-01-01,1122",
"2017-01-01,1123",
"2017-01-01,1124",
"2017-01-01,1124",
"2017-01-02,1122",
"2017-01-01,1121",
"2017-01-01,1123",
"2017-01-01,1123"
)
val AccesslogRDD = sc.parallelize(userAccesslog,2)
//val AccesslogRDD = sc.textFile("hdfs://master:9000/student/2016113012/data/userAccesslog.txt").map(_.split(","))
//通过StructType直接指定每个字段的schema
val schema = StructType(
Array(
StructField("date",StringType,true),
StructField("userid",IntegerType,true)
)
)
//j将普通rdd映射到rowRDD
val RowRDD = AccesslogRDD.map(log => Row(log.split(",")(0),log.split(",")(1).toInt))
//将schema信息映射到RowRDD上,即创建dataframe
val df = sqlContext.createDataFrame(RowRDD,schema)
//要使用spark SQL的内置函数需导入SQLContext下的隐士转换
import sqlContext.implicits._
df.groupBy("date") //根据日期分组
.agg('date,countDistinct('userid))//根据日期聚合，然后根据用户id，注意这里的语法是‘引号
.map(row => Row(row(1),row(2))).collect().foreach(println)
//uv含义和业务，每天都有很多用户访问，每个用户可能每天访问很多次，uv指的是对用户进行去重以后的访问次数
}
}
运行结果
hadoop@master:~/wujiadong$ spark-submit --class wujiadong_sparkSQL.DailyUV --executor-memory 500m --total-executor-cores 2 /home/hadoop/wujiadong/wujiadong.spark.jar
17/03/06 21:01:52 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/03/06 21:01:53 WARN SparkConf:
SPARK_CLASSPATH was detected (set to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar').
This is deprecated in Spark 1.0+.
Please instead use:
- ./spark-submit with --driver-class-path to augment the driver classpath
- spark.executor.extraClassPath to augment the executor classpath
17/03/06 21:01:53 WARN SparkConf: Setting 'spark.executor.extraClassPath' to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar' as a work-around.
17/03/06 21:01:53 WARN SparkConf: Setting 'spark.driver.extraClassPath' to ':/home/hadoop/bigdata/hive/lib/mysql-connector-java-5.1.26-bin.jar' as a work-around.
17/03/06 21:01:55 INFO Slf4jLogger: Slf4jLogger started
17/03/06 21:01:55 INFO Remoting: Starting remoting
17/03/06 21:01:56 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.1.131:57493]
17/03/06 21:01:57 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
17/03/06 21:01:58 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
[2017-01-01,4]
[2017-01-02,1]
17/03/06 21:02:21 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/03/06 21:02:21 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
17/03/06 21:02:21 INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down.
