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package mobvista.dmp.datasource.dsp
import java.net.URI
import java.util
import mobvista.dmp.common.CommonSparkJob
import mobvista.prd.datasource.util.GsonUtil
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.commons.lang.StringUtils
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.hadoop.io.compress.GzipCodec
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions.{collect_set, first, max, udf}
import org.apache.spark.sql.types.{ArrayType, StringType, StructField, StructType}
import scala.collection.JavaConversions._
import scala.collection.mutable
class DspOrgLogEtlDailys extends CommonSparkJob with Serializable {
override protected def run(args: Array[String]): Int = {
val parser = new BasicParser()
val options = commandOptions()
val commandLine = parser.parse(options, args)
val input_etl_dsp_request_hour = commandLine.getOptionValue("input")
val output_etl_dsp_request_hour = commandLine.getOptionValue("output")
val input_mds_dsp_request_hour = commandLine.getOptionValue("input_mds_dsp_request_hour")
val output_mds_dsp_request_hour = commandLine.getOptionValue("output_mds_dsp_request_hour")
val parallelism = commandLine.getOptionValue("parallelism").toInt
val coalesce = commandLine.getOptionValue("coalesce").toInt
val spark = SparkSession
.builder()
.config("spark.rdd.compress", "true")
.config("spark.default.parallelism", s"${parallelism}")
.config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.enableHiveSupport()
.getOrCreate()
val sc = spark.sparkContext
FileSystem.get(new URI(s"s3://mob-emr-test"), sc.hadoopConfiguration).delete(new Path(output_etl_dsp_request_hour),true)
import spark.implicits._
try {
val mergeUdf = udf((segmentArrays: mutable.WrappedArray[String]) => {
// val segmentMap = Maps.newHashMap();
var res =""
val segmentSet: util.Set[String] = new util.HashSet[String]()
if(segmentArrays != null && segmentArrays.size != 0){
for (segmentArray <- segmentArrays) {
// println("mergeUdf:segmentArray1>" + segmentArray.toString )
val jsonArray = GsonUtil.String2JsonArray(segmentArray.toString)
for (json <- jsonArray) { //mergeUdf:segmentArray2>[{"name":"carrier","value":"verified"}];{"name":"carrier","value":"verified"}
// println("mergeUdf:segmentArray2>" + segmentArray.toString + ";" +json.toString)
segmentSet.add(json.toString)
}
}
}
if(!segmentSet.isEmpty){
res = "[" + segmentSet.mkString(",") + "]"
}
res
})
val mergePkgUdf = udf((pkgsArrays: mutable.WrappedArray[String]) => {
var res = "[]"
val pkgSet: util.Set[String] = new util.HashSet[String]()
if(pkgsArrays != null && pkgsArrays.size != 0 ){
for (pkgs <- pkgsArrays) { // 字符串#分隔
// println("mergePkgUdf.pkgs:" + pkgs.toString + ";") mergePkgUdf.pkgs:com.playgendary.tanks#com.nflystudio.InfiniteStaircase;
if(StringUtils.isNotBlank(pkgs)){
val pkgsname =pkgs.split("#",-1)
for(pkgname <- pkgsname){
pkgSet.add(pkgname)
}
}
}
}
if(pkgSet.size()!=0){
// res = new ObjectMapper().writeValueAsString(pkgSet)
res = "[\"" + pkgSet.mkString("\",\"") + "\"]"
}
res
})
val mergeAdridIdUdf = udf((adrsArrays: mutable.WrappedArray[String]) => {
var res = ""
val adrSet: util.Set[String] = new util.HashSet[String]()
if(adrsArrays != null && adrsArrays.size != 0){
for (adrs <- adrsArrays) { // 字符串#分隔,与pgkName逻辑相同
// println("mergePkgUdf.pkgs:" + pkgs.toString + ";") mergePkgUdf.pkgs:com.playgendary.tanks#com.nflystudio.InfiniteStaircase;
if(StringUtils.isNotBlank(adrs)){
val adrId =adrs.split("#",-1)
for(adr <- adrId){
adrSet.add(adr)
}
}
}
}
if(adrSet.size()!=0){
res = adrSet.mkString(",")
}
res
})
spark.read.schema(dspEtlSchema).orc(input_etl_dsp_request_hour).map(row =>{
val device_id = row.getAs[String]("device_id")
val device_type = row.getAs[String]("device_type")
val platform = row.getAs[String]("platform")
val country_code = row.getAs[String]("country_code")
val ip = row.getAs[String]("ip")
val gender = row.getAs[String]("gender")
val birthday = row.getAs[String]("birthday")
val maker = row.getAs[String]("maker")
val model = row.getAs[String]("model")
val os_version = row.getAs[String]("os_version")
val package_list= row.getSeq[String](10)
val androidids = row.getSeq[String](11)
val datetime = row.getAs[String]("datetime")
val segment_ids = row.getAs[String]("segment_ids")
val setPkg = new util.HashSet[String]()
if(package_list.size > 0 ){
package_list.foreach(line =>{
if(StringUtils.isNotBlank(line)){
setPkg.add(line)
}
})
}
val setAdrIds = new util.HashSet[String]()
if(androidids.size > 0 ){
androidids.foreach(line =>{
if(StringUtils.isNotBlank(line)){
setAdrIds.add(line)
}
})
}
(device_id,device_type,platform,country_code,ip,gender,birthday,maker,model,os_version,setPkg.mkString("#"),setAdrIds.mkString("#"),datetime, segment_ids)
// [{"id":"1462","value":"0.3"},{"id":"381","value":"0.2"},{"id":"937","value":"0.3"},{"id":"41","value":"0.3"}]
}).toDF("device_id", "device_type", "platform", "country_code", "ip", "gender", "birthday", "maker",
"model", "os_version", "package_list", "androidids", "datetime", "segment_ids")
.groupBy("device_id","device_type")
.agg(first("platform"),
first("country_code"),
first("ip"),
first("gender"),
first("birthday"),
first("maker"),
first("model"),
first("os_version"),
mergePkgUdf(collect_set("package_list")),
mergeAdridIdUdf(collect_set("androidids")),
max("datetime"),
mergeUdf(collect_set("segment_ids"))
).coalesce(coalesce.toInt)
.rdd.map(_.mkString("\t")).saveAsTextFile(output_etl_dsp_request_hour,classOf[GzipCodec])
spark.read.schema(dspMdsSchema).orc(input_mds_dsp_request_hour).createOrReplaceTempView("mds_dsp_request_hour")
val sql="select device_id,device_type,platform" +
" ,req_time,ip, geo,longitude,latitude" +
" from mds_dsp_request_hour group by device_id,device_type,platform,req_time,ip, geo,longitude,latitude"
spark.sql(sql).coalesce(coalesce.toInt)
.rdd.map(_.mkString("\t")).saveAsTextFile(output_mds_dsp_request_hour,classOf[GzipCodec])
// spark.read.orc(input).map(row =>{row.getList[String](10) +"\t" + row.getList[String](11)}).rdd.saveAsTextFile(output)
} finally {
if (spark != null) {
spark.stop()
}
}
0
}
// *struct<device_id:string,device_type:string,platform:string,req_time:string,ip:string,geo:string,longitude:string,latitude:string>
def dspMdsSchema: StructType = {
StructType(StructField("device_id", StringType) ::
StructField("device_type", StringType) ::
StructField("platform", StringType) ::
StructField("req_time", StringType) ::
StructField("ip", StringType) ::
StructField("geo", StringType) ::
StructField("longitude", StringType) ::
StructField("latitude", StringType)
:: Nil)
}
def dspEtlSchema: StructType = {
StructType(StructField("device_id", StringType) ::
StructField("device_type", StringType) ::
StructField("platform", StringType) ::
StructField("country_code", StringType) ::
StructField("ip", StringType) ::
StructField("gender", StringType) ::
StructField("birthday", StringType) ::
StructField("maker", StringType) ::
StructField("model", StringType) ::
StructField("os_version", StringType) ::
StructField("package_list", ArrayType(StringType)) ::
StructField("androidids", ArrayType(StringType)) ::
StructField("datetime", StringType) ::
StructField("segment_ids", StringType)
:: Nil)
}
def commandOptions(): Options = {
val options = new Options()
options.addOption("input", true, "input")
options.addOption("output", true, "output")
options.addOption("input_mds_dsp_request_hour", true, "input_mds_dsp_request_hour")
options.addOption("output_mds_dsp_request_hour", true, "output_mds_dsp_request_hour")
options.addOption("parallelism", true, "parallelism")
options.addOption("coalesce", true, "coalesce")
options
}
}
object DspOrgLogEtlDailys {
def main(args: Array[String]): Unit = {
new DspOrgLogEtlDailys().run(args)
}
}