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package mobvista.dmp.datasource.adn_sdk
import java.net.URI
import java.text.SimpleDateFormat
import java.util.Date
import com.alibaba.fastjson.{JSON, JSONArray, JSONObject}
import mobvista.dmp.common.CommonSparkJob
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.commons.lang3.StringUtils
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.types.{StringType, StructField, StructType}
import org.apache.spark.sql.{Row, SaveMode, SparkSession}
import scala.collection.mutable.ArrayBuffer
/**
* @package: mobvista.dmp.datasource.adn_sdk
* @author: wangjf
* @date: 2020/4/2
* @time: 8:34 下午
* @email: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
class AdnSdkEtlHour extends CommonSparkJob with java.io.Serializable {
def commandOptions(): Options = {
val options = new Options()
options.addOption("date", true, "date")
options.addOption("hour", true, "hour")
options.addOption("input", true, "input")
options.addOption("output", true, "output")
options.addOption("coalesce", true, "coalesce")
options
}
override protected def run(args: Array[String]): Int = {
val parser = new BasicParser()
val options = commandOptions()
val commandLine = parser.parse(options, args)
val date = commandLine.getOptionValue("date")
val hour = commandLine.getOptionValue("hour")
val input = commandLine.getOptionValue("input")
val output = commandLine.getOptionValue("output")
val coalesce = Integer.parseInt(commandLine.getOptionValue("coalesce"))
val spark = SparkSession
.builder()
.appName(s"AdnSdkEtlHour.$date.$hour")
.config("spark.rdd.compress", "true")
.config("spark.shuffle.compress", "true")
.config("spark.sql.orc.filterPushdown", "true")
.config("spark.io.compression.codec", "lz4")
.config("spark.io.compression.lz4.blockSize", "64k")
.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
try {
FileSystem.get(new URI(s"s3://mob-emr-test"), sc.hadoopConfiguration).delete(new Path(output), true)
val filter_rdd = sc.textFile(input).coalesce(coalesce).filter(_.length != 1).mapPartitions(
elements => {
val linesArr = new ArrayBuffer[Row]()
if (elements.nonEmpty) {
elements.foreach(p => {
val etl_json = AdnSdkTools.getEtlJSON(p)
// device_id,device_type,platform,data,model,brand
val device_id = etl_json.getString("device_id")
val device_type = etl_json.get("device_type")
val platform = etl_json.get("platform")
val data = etl_json.get("data")
val model = etl_json.get("model")
val brand = etl_json.get("brand")
val imei = etl_json.getString("imei")
val android_id = etl_json.getString("android_id")
if (StringUtils.isNotBlank(imei) && imei.matches(imeiPtn)) {
linesArr += Row(imei, "imei", "android", data, model, brand)
}
if (StringUtils.isNotBlank(android_id) && android_id.matches(andriodIdPtn)) {
linesArr += Row(android_id, "androidid", "android", data, model, brand)
}
if (StringUtils.isNotBlank(device_id) && (device_id.matches(didPtn) && !allZero.equals(device_id) || !device_id.matches(md5Ptn) || device_id.matches(imeiMd5Ptn))) {
linesArr += Row(device_id, device_type, platform, data, model, brand)
}
})
}
linesArr.iterator
})
val filter_df = filter_rdd.map(contents => {
parseCalData(contents, date)
})
spark.createDataFrame(filter_df, install_schema)
.repartition(coalesce / 50)
.write
.mode(SaveMode.Overwrite)
.option("orc.compress", "snappy")
.orc(output)
} finally {
if (spark != null) {
spark.stop()
}
}
0
}
val install_schema: StructType = StructType(Array(
StructField("device_id", StringType),
StructField("device_type", StringType),
StructField("platform", StringType),
StructField("model", StringType),
StructField("brand", StringType),
StructField("install_list", StringType)))
def parseCalData(row: Row, log_day: String): Row = {
val data = row.getString(3)
val model = row(4)
val package_array = new JSONArray()
val device_type = row(1)
try {
if (data.indexOf("cal=") > -1) {
val a = data.substring(data.indexOf("cal="))
val cal = a.substring(4, a.length()).split("&")(0)
val receive_day = log_day.substring(0, 4) + "-" + log_day.substring(4, 6) + "-" + log_day.substring(6, 8)
val install_array = JSON.parseArray(AdnSdkTools.evaluate(cal))
if (install_array != null) {
for (a <- 0 until install_array.size()) {
val obj = install_array.getJSONObject(a)
val package_name = obj.get("packageName").toString
var label = ""
if (obj.get("label") != null) {
label = obj.get("label").toString
}
var campaignid = ""
var iex = 0
if (obj.get("iex") != null) {
iex = obj.getInteger("iex")
}
if (obj.get("campaignid") != null) {
campaignid = obj.get("campaignid").toString
}
if (iex == 1) {
val install_json = new JSONObject()
if (obj.get("ts") != null && obj.getString("ts").nonEmpty && obj.getString("ts").length() > 4) {
val ts = obj.getLong("ts")
val time_format = new SimpleDateFormat("yyyy-MM-dd")
val date = new Date()
date.setTime(ts)
val ins_day = time_format.format(date)
val n = Integer.parseInt(ins_day.substring(0, 4))
val f = Integer.parseInt(log_day.substring(0, 4))
if (f - n > 2) {
install_json.put("date", receive_day)
} else {
install_json.put("date", ins_day)
}
} else {
install_json.put("date", receive_day)
}
install_json.put("package_name", package_name)
install_json.put("label", label)
install_json.put("campaignid", campaignid)
package_array.add(install_json)
}
}
}
}
} catch {
case _: com.alibaba.fastjson.JSONException => {}
case e: Exception => {
e.printStackTrace()
}
} finally {
}
Row(row(0), device_type, row(2), model, row(5), package_array.toString)
}
}
object AdnSdkEtlHour {
def main(args: Array[String]): Unit = {
new AdnSdkEtlHour().run(args)
}
}