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package mobvista.dmp.datasource.dm
import com.alibaba.fastjson.{JSON, JSONArray, JSONObject}
import mobvista.dmp.common.CommonSparkJob
import mobvista.dmp.datasource.dm.Constant.DmInterestTagV2
import org.apache.commons.cli.Options
import org.apache.commons.lang3.StringUtils
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.{SaveMode, SparkSession}
import java.net.URI
import scala.collection.JavaConverters._
import scala.collection.mutable
/**
* @package: mobvista.dmp.datasource.dm
* @author: wangjf
* @date: 2018/12/13
* @time: 下午6:42
* @email: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
class DmpDeviceInterest extends CommonSparkJob with Serializable {
override protected def run(args: Array[String]): Int = {
val commandLine = commParser.parse(options, args)
if (!checkMustOption(commandLine)) {
printUsage(options)
printOptions(commandLine)
return 1
} else {
printOptions(commandLine)
}
val date = commandLine.getOptionValue("date")
val coalesce = Integer.parseInt(commandLine.getOptionValue("coalesce"))
val output = commandLine.getOptionValue("output")
val spark = SparkSession.builder()
.appName(name = s"DmpDeviceInterest.$date")
.config("spark.rdd.compress", "true")
.config("spark.sql.orc.filterPushdown", "true")
.config("spark.io.compression.codec", "lz4")
.config("spark.io.compression.lz4.blockSize", "64k")
.config("spark.broadcast.compress", "true")
.config("spark.sql.autoBroadcastJoinThreshold", "524288000")
.config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.enableHiveSupport()
.getOrCreate()
val sc = spark.sparkContext
FileSystem.get(new URI(s"s3://mob-emr-test"), sc.hadoopConfiguration).delete(new Path(output), true)
try {
/*
val tag_sql = Constant.dim_app_tag_sql.replace("@date", date)
val oldMap = sc.broadcast(spark.sql(tag_sql).rdd.map(r => {
(r.getAs("package_name").toString.toLowerCase, r.getAs("tag").toString)
}).collectAsMap())
*/
import spark.implicits._
val app_two_tags_sql = InterestTagConstant.app_tag_except_sql.replace("@date", date)
spark.sql(app_two_tags_sql)
.flatMap(InterestTagConstant.flatInterest)
.toDF()
.createOrReplaceTempView("t_app_two_tags")
spark.udf.register("str2Json", str2Json _)
spark.udf.register("mergeInstallList", mergeInstallList _)
val new_tag_sql = InterestTagConstant.tag_sql_v2
// import scala.collection.JavaConversions._
val newMap = sc.broadcast(spark.sql(new_tag_sql).rdd.map(r => {
var packageName = r.getAs("package_name").toString.toLowerCase()
if (packageName.matches("^id\\d+$")) {
packageName = packageName.replace("id", "")
}
(packageName, r.getAs("tags").toString)
// (r.getAs("package_name").toString.toLowerCase(), r.getAs[mutable.WrappedArray[String]]("tag_ids").asJava)
}).collectAsMap())
// newMap.value.foreach(println)
// val update_date = DateUtil.format(DateUtil.getDay(date, "yyyyMMdd", -15), "yyyy-MM-dd")
// val before_date = DateUtil.getDayByString(date, "yyyyMMdd", -1)
// val before_update_date = DateUtil.format(DateUtil.getDay(before_date, "yyyyMMdd", -15), "yyyy-MM-dd")
// val udf_mergeInstallList = udf(mergeInstallList _)
// val udf_mergeExtData = udf(Constant.mergeExtData _)
/*
val input = "s3://mob-emr-test/wangjf/data/install_list_orc/2020/04/23/adn_request_sdk"
val df = spark.read.orc(input).groupBy(lower(col("device_id")).alias("device_id"))
.agg(max(col("device_type")).alias("device_type"),
max(col("platform")).alias("platform"),
udf_mergeInstallList(collect_set(col("install_list"))).alias("install_list"),
udf_mergeExtData(collect_set(concat_ws("#", col("ext_data"), col("update_date"), lit("m")))).alias("ext_data"),
max(col("update_date")).alias("update_date")
)
*/
val rdd = spark.sql(Constant.install_sql.replace("@date", date)).rdd
.map(row => {
val device_id = row.getAs("device_id").toString
val device_type = row.getAs("device_type").toString
val platform = if (StringUtils.isNotBlank(row.getAs("platform").toString) && "ios".equals(row.getAs("platform").toString)) {
"ios"
} else {
"android"
}
val ext_data = row.getAs[String]("ext_data")
val update_date = row.getAs[String]("update_date")
import scala.collection.JavaConverters._
val install_list = JSON.parse(row.getAs("install_list").toString).asInstanceOf[java.util.Map[String, String]].asScala
val jsonArray = new JSONArray()
install_list.foreach(install => {
val json = new JSONObject()
var package_name = install._1
val install_date = install._2
if (package_name.matches("^id\\d+$")) {
package_name = package_name.replace("id", "")
}
json.put("package_name", package_name)
json.put("date", install_date)
if (newMap.value.keySet.contains(package_name.toLowerCase)) {
val newTags = newMap.value(package_name.toLowerCase)
json.put("tag_new", JSON.parseArray(newTags))
}
if (json.containsKey("tag_new") && !package_name.toLowerCase.equals("0000000000") && !package_name.equals("com.nonepkg.nonepkg")) {
jsonArray.add(json)
}
})
/*
if (jsonArray.size() > 0) {
DmInterestTagV2(device_id, device_type, platform, jsonArray.toString, ext_data, update_date)
} else {
null
}
*/
DmInterestTagV2(device_id = device_id, device_type = device_type, platform = platform, install = install_list.asJava.toString,
tags = jsonArray.toString, ext_data = ext_data, update_date = update_date)
})
rdd.repartition(coalesce).toDF()
.write
.mode(SaveMode.Overwrite)
.option("orc.compress", "snappy")
.orc(output)
// .mapPartitions(v => new CustomIterator(v, mapper = mapper, oldMap = app_tag_map, newMap = bMap))
/*
.map(row => {
val device_id = row.getAs("device_id").toString
val device_type = row.getAs("device_type").toString
val platform = row.getAs("platform").toString
val install_list = row.getAs("install_list").toString
val jsonArray = new JsonArray
val jsonNode = mapper.readTree(install_list).elements()
while (jsonNode.hasNext) {
val node = jsonNode.next()
val date = node.path("date").asText()
val package_name =
if (platform.equals("ios") && node.path("package_name").asText().startsWith("id")) {
node.path("package_name").asText().substring(2)
} else {
node.path("package_name").asText()
}
if (app_tag_map.value.keySet.contains(package_name)) {
val tags = app_tag_map.value(package_name)
val json = new JsonObject
json.addProperty("package_name", package_name)
json.addProperty("date", date)
json.add("tag", GsonUtil.String2JsonArray(tags))
jsonArray.add(json)
}
}
val dmInterestTag = if (jsonArray.size() > 0) {
DmInterestTag(device_id, device_type, platform, jsonArray.toString)
} else {
null
}
dmInterestTag
}).filter(_ != null)
*/
} finally {
if (spark != null) {
sc.stop()
spark.stop()
}
}
0
}
def str2Json(tag_id: String, first_tag: String, second_tag: String): String = {
val jsonObject = new JSONObject()
jsonObject.put("id", tag_id)
jsonObject.put("1", first_tag)
if (StringUtils.isNotBlank(second_tag)) {
jsonObject.put("2", second_tag)
}
jsonObject.toString
}
def mergeInstallList(installList: mutable.WrappedArray[String]) = {
val installJSONObject = new JSONObject()
installList.iterator.foreach(install => {
val installMap = JSON.parse(install).asInstanceOf[java.util.Map[String, String]].asScala
installMap.foreach(packageInfo => {
if (installJSONObject.containsKey(packageInfo._1)) {
if (installJSONObject.getString(packageInfo._1).compareTo(packageInfo._2) < 0) {
installJSONObject.put(packageInfo._1, packageInfo._2)
}
} else {
installJSONObject.put(packageInfo._1, packageInfo._2)
}
})
})
installJSONObject.toJSONString
}
override protected def buildOptions(): Options = {
val options = new Options
options.addOption("date", true, "[must] date")
options.addOption("coalesce", true, "[must] coalesce")
options.addOption("output", true, "[must] output")
options
}
}
object DmpDeviceInterest {
def main(args: Array[String]): Unit = {
new DmpDeviceInterest().run(args)
}
}