1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
package com.gmei
import java.io.Serializable
import java.time.LocalDate
import com.gmei.lib.AbstractParams
import org.apache.log4j.{Level, Logger}
import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}
import scopt.OptionParser
import scala.util.parsing.json.JSON
object esmm_feature {
Logger.getLogger("org.apache.spark").setLevel(Level.WARN)
Logger.getLogger("org.apache.eclipse.jetty.server").setLevel(Level.OFF)
case class Params(env: String = "dev",
date: String = "2018-08-01"
) extends AbstractParams[Params] with Serializable
val defaultParams = Params()
val parser = new OptionParser[Params]("Feed_EDA") {
head("WeafareStat")
opt[String]("env")
.text(s"the databases environment you used")
.action((x, c) => c.copy(env = x))
opt[String] ("date")
.text(s"the date you used")
.action((x,c) => c.copy(date = x))
note(
"""
|For example, the following command runs this app on a tidb dataset:
|
| spark-submit --class com.gmei.WeafareStat ./target/scala-2.11/feededa-assembly-0.1.jar \
""".stripMargin +
s"| --env ${defaultParams.env}"
)
}
def main(args: Array[String]): Unit = {
parser.parse(args, defaultParams).map { param =>
GmeiConfig.setup(param.env)
val spark_env = GmeiConfig.getSparkSession()
val sc = spark_env._2
user_feature(sc)
get_applist(sc)
sc.stop()
}}
def get_applist(spark:SparkSession): Unit ={
val yesterday = LocalDate.now().minusDays(1).toString.replace("-","")
println(yesterday)
val df = spark.sql(
s"""
|select device["device_id"] as device_id,cl_type,params["installed_app_info"]
|from online.tl_hdfs_maidian_view where partition_date = $yesterday
|and action = 'user_installed_all_app_info'
""".stripMargin).dropDuplicates("device_id")
df.persist()
val old = spark.sql("select device_id from jerry_test.device_app_list").collect().map(x => x(0).toString)
import spark.implicits._
val android = df.rdd.map(x => (x(0).toString,x(1).toString,x(2).toString))
.filter(x => x._2 == "android").map(x => (x._1,x._2,parse_json(x._3),yesterday))
val ios = df.rdd.map(x => (x(0).toString,x(1).toString,x(2).toString))
.filter(x => x._2 == "ios").map(x => (x._1,x._2,x._3,yesterday))
val rdd = android.union(ios)
val new_user = rdd.filter(x => old.indexOf(x._1)== -1)
.toDF("device_id","os","app_list","update_date")
if (new_user.take(1).nonEmpty){
val tecent_jdbc = "jdbc:mysql://172.16.40.158:4000/jerry_test?user=root&password=3SYz54LS9#^9sBvC&rewriteBatchedStatements=true"
GmeiConfig.writeToJDBCTable(tecent_jdbc, new_user,"device_app_list", SaveMode.Append)
}else{
println("没有新用户需要写入")
}
df.unpersist()
}
def parse_json(str:String): String ={
var t = List[Map[String, Any]]()
val result = JSON.parseFull(str)
result match {
case Some(b: List[Map[String, Any]]) => t = t ++ b
case None => println("Parsing failed")
case other => println("Unknown data structure: " + other)
}
var x = List[String]()
if (t.nonEmpty){
for (i <- t){
x = x:+i("appName").toString
}
}
x.mkString(",")
}
def user_feature(spark:SparkSession): Unit ={
val yesterday = LocalDate.now().minusDays(1).toString.replace("-","")
println(yesterday)
val sql_exist = "select device_id from jerry_test.user_feature"
val old = spark.sql(sql_exist)
.collect().map(x => x(0).toString)
val sql_yesterday =
s"""
|select device["device_id"] as id,device["device_type"],device["manufacturer"],city_id,channel,
|partition_date from online.tl_hdfs_maidian_view where partition_date = $yesterday
""".stripMargin
val rdd = spark.sql(sql_yesterday).repartition(200).na.drop().dropDuplicates("id").rdd
.map(x =>(x(0).toString,x(1).toString,x(2).toString,x(3).toString,
x(4).toString,x(5).toString))
import spark.implicits._
val df_new = rdd.filter(x => old.indexOf(x._1)== -1)
.toDF("device_id","device_type","manufacturer","city_id","channel","date")
if (df_new.take(1).nonEmpty){
val tecent_jdbc = "jdbc:mysql://172.16.40.158:4000/jerry_test?user=root&password=3SYz54LS9#^9sBvC&rewriteBatchedStatements=true"
GmeiConfig.writeToJDBCTable(tecent_jdbc, df_new, "user_feature", SaveMode.Append)
}else {
println("no need to insert into user feature")
}
}
}