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package mobvista.dmp.datasource.datatory
import java.text.SimpleDateFormat
import java.util
import java.util.Properties
import mobvista.dmp.datasource.dm.Constant.{allZero, andriodIdPtn, didPtn, imeiPtn}
import mobvista.dmp.util.{DateUtil, PropertyUtil}
import mobvista.prd.datasource.util.GsonUtil
import org.apache.commons.lang3.StringUtils
import org.apache.spark.broadcast.Broadcast
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, Dataset, Row, SaveMode, SparkSession}
import org.apache.spark.storage.StorageLevel
import scala.collection.JavaConversions._
import scala.collection.JavaConverters._
/**
* @package: mobvista.dmp.datasource.datatory
* @author: wangjf
* @date: 2019/4/1
* @time: 下午4:00
* @email: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
object Constant {
val filter_sql: String =
"""
|SELECT UPPER(dev_id) device_id, install, interest, country, age, gender
| FROM dwh.ods_dmp_user_info_all WHERE dt = '@date' AND update_date >= '@update_date'
""".stripMargin
val ods_dmp_user_info_daily_sql: String =
"""
|SELECT dev_id, platform, interest, country, age, gender
| FROM dev.ods_dmp_user_info_daily WHERE dt = "@date"
""".stripMargin
val ods2new_sql: String =
"""
|SELECT UPPER(CONCAT(tag_type, '-', first_tag, '-', second_tag)) tag_id, new_first_id, new_second_id FROM
| dwh.dm_old2new_tag
""".stripMargin
val tracking_install_sql: String =
"""
|SELECT b.device_id, device_model, os_version, UPPER(country) country, city, CAST(b.offer_id AS string) offer_id, CAST(COALESCE(a.id,'') AS string) id, COALESCE(a.event_name,'') event_name, a.event_type FROM
| (SELECT devid device_id, MAX(device) device_model, MAX(os_version) os_version, MAX(country) country, MAX(city) city, uuid offer_id FROM dwh.ods_3s_trackingnew_install WHERE CONCAT(yyyy,mm,dd) = '@date' GROUP BY devid, uuid) b
| LEFT JOIN
| (SELECT id, event_name, event_type, offer_id FROM dwh.ods_3s_trackingcsv_event_define WHERE yyyymmdd = '@date') a
| ON a.offer_id = b.offer_id
""".stripMargin
// create_src = 0
val tracking_event_sql: String =
"""
|SELECT b.device_id, UPPER(country) country, CAST(b.offer_id AS string) offer_id, COALESCE(a.id, b.event_name) id, COALESCE(a.event_name, b.event_name) event_name, COALESCE(a.event_type,'') event_type FROM
| (SELECT devid device_id, MAX(country) country, event_name, uuid offer_id FROM dwh.ods_3s_trackingcsv_event_info WHERE yyyymmdd = '@date' AND devid IS NOT NULL AND devid <> '' GROUP BY devid, event_name, uuid) b
| LEFT JOIN
| (SELECT CAST(id AS string) id, event_name, event_type, offer_id FROM dwh.ods_3s_trackingcsv_event_define WHERE yyyymmdd = '@date') a
| ON a.offer_id = b.offer_id
""".stripMargin
val event_info_sql: String =
"""
|SELECT event_name id, event_name, '' event_type, CAST(uuid AS string) offer_id FROM dwh.ods_3s_trackingcsv_event_info WHERE yyyymmdd = '@date'
| UNION ALL
| SELECT event_name id, event_name, '' event_type, campaign_id offer_id FROM dwh.ods_adn_tracking_ss_event WHERE CONCAT(yyyy,mm,dd) = '@date'
""".stripMargin
val tracking_event_info_sql: String =
"""
|SELECT CAST(id AS string) id, event_name, event_type, CAST(offer_id AS string) offer_id FROM dwh.ods_3s_trackingcsv_event_define WHERE yyyymmdd = '@date'
""".stripMargin
val all_event_info_sql: String =
"""
|SELECT id, event_name, event_type, offer_id FROM dev.event_info WHERE dt = '@before_date'
""".stripMargin
val adv_install_sql: String =
"""
|SELECT UPPER(device_id) device_id FROM
| dwh.etl_tracking_install_daily WHERE dt BETWEEN '@start' AND '@end'
""".stripMargin
val adv_event_sql: String =
"""
|SELECT UPPER(device_id) device_id FROM
| dwh.etl_3s_event_daily WHERE dt BETWEEN '@start' AND '@end'
""".stripMargin
val adv_tag_sql: String =
"""
|SELECT /*+ MAPJOIN(b) */a.device_id device_id, install, interest, country, age, gender
| FROM adv b
| JOIN user_info a
| ON a.device_id = b.device_id
""".stripMargin
val adn_tracking_install_sql: String =
"""
|SELECT
| CASE WHEN lower(platform) = 'ios' AND idfa IS NOT NULL AND idfa != '' THEN UPPER(idfa)
| WHEN lower(platform) = 'android' AND gaid IS NOT NULL AND gaid != '' THEN UPPER(gaid)
| WHEN lower(platform) = 'android' AND imei IS NOT NULL AND imei != '' THEN UPPER(imei) ELSE '' END AS device_id,
| device_model, os_version, UPPER(country_code) country, getCity(ios_ab) city, campaign_id, app_id
| FROM dwh.ods_adn_trackingnew_install WHERE CONCAT(yyyy,mm,dd) = '@date'
""".stripMargin
// create_src > 0 (1,2,3)
val adn_tracking_event_sql: String =
"""
|SELECT
| CASE WHEN lower(platform) = 'ios' AND idfa IS NOT NULL AND idfa != '' THEN UPPER(idfa)
| WHEN lower(platform) = 'android' AND gaid IS NOT NULL AND gaid != '' THEN UPPER(gaid)
| WHEN lower(platform) = 'android' AND imei IS NOT NULL AND imei != '' THEN UPPER(imei)
| WHEN lower(platform) = 'android' AND android_id IS NOT NULL AND android_id != '' THEN UPPER(android_id) ELSE '' END AS device_id,
| UPPER(country) country, event_name, campaign_id
| FROM dwh.ods_adn_tracking_ss_event WHERE CONCAT(yyyy,mm,dd) = '@date'
""".stripMargin
val adn_tracking_install_join_event_sql: String =
"""
|SELECT
| a.device_id device_id,CASE WHEN b.device_model IS NOT NULL THEN b.device_model ELSE '' END AS device_model,
| CASE WHEN b.os_version IS NOT NULL THEN b.os_version ELSE '' END AS os_version,a.country country,
| CASE WHEN b.city IS NOT NULL THEN b.city ELSE '' END AS city,a.event_name event_name ,a.event_type event_type,
| a.campaign_id campaign_id, CASE WHEN b.app_id IS NOT NULL THEN b.app_id ELSE array() END AS app_id
|FROM
| (
| SELECT device_id, MAX(country) country, COLLECT_SET(event_name) event_name,COLLECT_SET(getEventType(event_name)) event_type,COLLECT_SET(campaign_id) campaign_id
| FROM dwh.etl_tracking_adn_event_daily WHERE dt = '@date'
| GROUP BY device_id
| ) a
| LEFT OUTER JOIN
| (
| SELECT device_id, MAX(device_model) device_model, MAX(os_version) os_version, MAX(city) city, COLLECT_SET(app_id) app_id
| FROM dwh.etl_tracking_adn_install_daily WHERE dt = '@date' GROUP BY device_id
| ) b
| ON a.device_id = b.device_id
""".stripMargin
val adn_tracking_merge_sql: String =
"""
|SELECT
| device_id, MAX(device_model) device_model,MAX(os_version) os_version,MAX(country) country,MAX(city) city,COLLECT_SET(campaign_id) campaign_id, array() event_name, array() event_type,COLLECT_SET(app_id) app_id, 0 log_type
| FROM dwh.etl_tracking_adn_install_daily WHERE dt = '@date'
| GROUP BY device_id
| UNION ALL
|SELECT
| device_id,device_model,os_version,country,city,campaign_id,event_name, event_type,app_id, 1 log_type
| FROM event_join
""".stripMargin
val event_sql: String =
"""
|SELECT
| event_name,event_type
|FROM dev.event_info
| WHERE dt = '@date' AND event_name != '' AND event_type != ''
|GROUP BY event_name,event_type
""".stripMargin
val tracking_install_join_event_sql: String =
"""
|SELECT
| a.device_id device_id,a.offer_id,a.id,a.event_name,a.event_type,a.country,b.city,b.device_model,b.os_version
|FROM
| (
| SELECT UPPER(device_id) device_id, COLLECT_SET(offer_id) offer_id, COLLECT_SET(id) id,COLLECT_SET(event_name) event_name, COLLECT_SET(event_type) event_type, MAX(country) country
| FROM dwh.etl_3s_event_daily WHERE dt = '@date' GROUP BY UPPER(device_id)
| ) a
| LEFT OUTER JOIN
| (
| SELECT UPPER(device_id) device_id, COLLECT_SET(offer_id) offer_id, COLLECT_SET(id) id,COLLECT_SET(event_name) event_name, COLLECT_SET(event_type) event_type, MAX(country) country, MAX(city) city,MAX(device_model) device_model, MAX(os_version) os_version
| FROM dwh.etl_tracking_install_daily WHERE dt = '@date' GROUP BY UPPER(device_id)
| ) b
| ON a.device_id = b.device_id
""".stripMargin
val tracking_merge_sql: String =
"""
|SELECT
| UPPER(device_id) device_id, COLLECT_SET(offer_id) offer_id, COLLECT_SET(id) id,COLLECT_SET(event_name) event_name, COLLECT_SET(event_type) event_type,
| MAX(country) country, MAX(city) city,MAX(device_model) device_model, MAX(os_version) os_version, 0 log_type
| FROM dwh.etl_tracking_install_daily WHERE dt = '@date' GROUP BY UPPER(device_id)
| UNION ALL
|SELECT
| device_id,offer_id,id,event_name,event_type,country,CASE WHEN city IS NOT NULL THEN city ELSE '' END AS city,
| CASE WHEN device_model IS NOT NULL THEN device_model ELSE '' END AS device_model, CASE WHEN os_version IS NOT NULL THEN os_version ELSE '' END AS os_version, 1 log_type
| FROM event_join
""".stripMargin
// 因上游数据不干净,为了去重
def processDistinctInstall(device_id: String, packages: String): util.ArrayList[DevTagEntity] = {
val res = new util.ArrayList[DevTagEntity]()
packages.split(",").foreach(pkgDate => {
val rs = pkgDate.split("\\|")
if (StringUtils.isNotBlank(rs(0))) {
res.add(DevTagEntity(device_id, rs(0)))
}
})
res
}
// 因上游数据不干净,为了去重
def processDistinctInterest(device_id: String, interests: String, bMap: Broadcast[scala.collection.Map[String, (String, String)]]): util.ArrayList[DevTagEntity] = {
val res = new util.ArrayList[DevTagEntity]()
val set = new util.HashSet[String]()
interests.split("#").foreach(interest => {
val rs = interest.split(",")
val tag_id = rs(0) + "-" + rs(1) + "-" + rs(2)
if (bMap.value.contains(tag_id.toUpperCase)) {
res.add(DevTagEntity(device_id, bMap.value(tag_id.toUpperCase)._2)) // 二级标签
res.add(DevTagEntity(device_id, bMap.value(tag_id.toUpperCase)._1)) // 一级标签
}
})
res
}
def processInstall(packages: String): util.ArrayList[(String, Int)] = {
val res = new util.ArrayList[(String, Int)]()
val set = new util.HashSet[String]()
packages.split(",").foreach(pkgDate => {
val rs = pkgDate.split("\\|")
if (StringUtils.isNotBlank(rs(0))) {
set.add(rs(0))
}
})
set.iterator().foreach(s => {
res.add((s.toLowerCase, 1))
})
res
}
def processInterest(interests: String, bMap: Broadcast[scala.collection.Map[String, (String, String)]]): util.ArrayList[(String, Int)] = {
val res = new util.ArrayList[(String, Int)]()
val set = new util.HashSet[String]()
interests.split("#").foreach(interest => {
val rs = interest.split(",")
val tag_id = rs(0) + "-" + rs(1) + "-" + rs(2)
if (bMap.value.contains(tag_id.toUpperCase)) {
set.add(bMap.value(tag_id.toUpperCase)._2) // 二级标签
set.add(bMap.value(tag_id.toUpperCase)._1) // 一级标签
}
})
set.iterator().foreach(s => {
res.add((s, 1))
})
res
}
def distinctPartition(iter: Iterator[UserInfoEntity], bMap: Broadcast[scala.collection.Map[String, (String, String)]], category: String): Iterator[DevTagEntity] = {
val res = new util.ArrayList[DevTagEntity]()
while (iter.hasNext) {
val ir = iter.next
category match {
case "package" =>
// res.addAll(processInstall(ir.install))
if (StringUtils.isNotBlank(ir.install)) {
res.addAll(processDistinctInstall(ir.dev_id, ir.install))
}
case "interest" =>
// res.addAll(processInterest(ir.interest, bMap)) // 标签 ID 化
if (StringUtils.isNotEmpty(ir.interest)) {
res.addAll(processDistinctInterest(ir.dev_id, ir.interest, bMap))
}
case "country" =>
if (StringUtils.isNotBlank(ir.country)) {
res.add(DevTagEntity(ir.dev_id, ir.country.toUpperCase))
}
case "age" =>
if (StringUtils.isNotBlank(ir.age)) {
res.add(DevTagEntity(ir.dev_id, ir.age))
}
case "gender" =>
if (StringUtils.isNotBlank(ir.gender)) {
res.add(DevTagEntity(ir.dev_id, ir.gender))
}
case _ =>
null
}
}
res.asScala.iterator
}
def commonPartition(iter: Iterator[UserInfoEntity], bMap: Broadcast[scala.collection.Map[String, (String, String)]], category: String): Iterator[(String, Int)] = {
val res = new util.ArrayList[(String, Int)]()
while (iter.hasNext) {
val ir = iter.next
category match {
case "package" =>
res.addAll(processInstall(ir.install))
case "interest" =>
res.addAll(processInterest(ir.interest, bMap)) // 标签 ID 化
case "country" =>
if (StringUtils.isNotBlank(ir.country)) {
res.add((ir.country.toUpperCase, 1))
}
case "age" =>
if (StringUtils.isNotBlank(ir.age)) {
res.add((ir.age, 1))
}
case "gender" =>
if (StringUtils.isNotBlank(ir.gender)) {
res.add((ir.gender, 1))
}
case _ =>
null
}
}
res.asScala.iterator
}
def commonPartition(iter: Iterator[DevTagEntity]): Iterator[(String, Int)] = {
val res = new util.ArrayList[(String, Int)]()
while (iter.hasNext) {
val ir = iter.next
/*
category match {
case "package" =>
// res.addAll(processInstall(ir.tag))
res.add((ir.tag, 1))
case "interest" =>
// res.addAll(processInterest(ir.tag, bMap)) // 标签 ID 化
res.add((ir.tag, 1))
case "country" =>
res.add((ir.tag.toUpperCase, 1))
case "age" =>
res.add((ir.tag, 1))
case "gender" =>
res.add((ir.tag, 1))
case _ =>
null
}
*/
res.add((ir.tag, 1))
}
res.asScala.iterator
}
def filterByPackage(packages: String, pkgs: String): Boolean = {
val set = pkgs.split(",").toSet
var flag = false
val itr = packages.split(",").iterator
while (itr.hasNext && !flag) {
val rs = itr.next.split("\\|")
if (set.contains(rs(0))) {
flag = true
}
}
flag
}
def filterByCountry(country: String, countryCode: String): Boolean = {
val set = countryCode.split(",").toSet
var flag = false
if (set.contains(country)) {
flag = true
}
flag
}
def filterCommon(column: String, list: String): Boolean = {
val set = list.toLowerCase.split(",").toSet
var flag = false
if (set.contains(column.toLowerCase)) {
flag = true
}
flag
}
def parseJsonStringPackage(jsonString: String): PackageFilterEntity = {
GsonUtil.fromJson(GsonUtil.String2JsonObject(jsonString), classOf[PackageFilterEntity])
}
def parseJsonStringAdv(jsonString: String): AdvFilterEntity = {
GsonUtil.fromJson(GsonUtil.String2JsonObject(jsonString), classOf[AdvFilterEntity])
}
val sdf1 = new SimpleDateFormat("yyyy-MM-dd")
val sdf2 = new SimpleDateFormat("yyyyMMdd")
def processQuery(date: String, tag: String, jsonString: String, spark: SparkSession): (RDD[UserInfoEntity], Long, String, Integer) = {
var jobId: String = ""
var top: Integer = 20
val baseDF =
if (tag.equals("pkg")) {
spark.udf.register("filterByPackage", Constant.filterByPackage _)
spark.udf.register("filterByCountry", Constant.filterByCountry _)
val packageFilterEntity: PackageFilterEntity = Constant.parseJsonStringPackage(jsonString)
jobId = packageFilterEntity.jobId
var end = ""
var updateDate = ""
if (date.compareTo(packageFilterEntity.end) < 0) {
end = date
val days = (sdf2.parse(packageFilterEntity.end).getTime - sdf2.parse(packageFilterEntity.start).getTime) / 1000 / 3600 / 24
val update_date = DateUtil.getDayByString(end, "yyyyMMdd", -days.toInt)
updateDate = sdf1.format(sdf2.parse(update_date))
} else {
end = packageFilterEntity.end
updateDate = sdf1.format(sdf2.parse(packageFilterEntity.start))
}
var sql = Constant.filter_sql.replace("@date", end).replace("@update_date", updateDate)
if (StringUtils.isNotBlank(packageFilterEntity.countryCode)) {
sql = sql + s" AND filterByCountry(country,'${packageFilterEntity.countryCode}')"
}
if (StringUtils.isNotBlank(packageFilterEntity.packageList)) {
sql = sql + s" AND filterByPackage(install,'${packageFilterEntity.packageList}')"
}
if (packageFilterEntity.top != null) {
top = packageFilterEntity.top
}
val df = spark.sql(sql)
.dropDuplicates(Seq("device_id"))
.rdd
.map(r => {
UserInfoEntity(r.getAs("device_id"), r.getAs("install"), r.getAs("interest"), r.getAs("country"), r.getAs("age"), r.getAs("gender"))
}).persist(StorageLevel.MEMORY_AND_DISK_SER)
(df, df.count)
} else {
spark.udf.register("filterCommon", Constant.filterCommon _)
val advFilterEntity: AdvFilterEntity = Constant.parseJsonStringAdv(jsonString)
jobId = advFilterEntity.jobId
val start = advFilterEntity.start
/**
* 不填写event相关信息、拉回event信息但未做任何选择的情况下,查install日志,获取安装结果。填写event的情况下,查install日志+event日志,获取安装结果(以uuid/offer_id来join两份日志)
*
*/
var install_sql = adv_install_sql.replace("@start", start).replace("@end", advFilterEntity.end)
var event_sql = adv_event_sql.replace("@start", start).replace("@end", advFilterEntity.end)
if (StringUtils.isNotBlank(advFilterEntity.offerId)) {
install_sql = install_sql + s" AND filterCommon(offer_id,'${advFilterEntity.offerId}')"
event_sql = event_sql + s" AND filterCommon(offer_id,'${advFilterEntity.offerId}')"
}
if (StringUtils.isNotBlank(advFilterEntity.eventName)) {
install_sql = install_sql + s" AND filterCommon(id,'${advFilterEntity.eventName}')"
event_sql = event_sql + s" AND filterCommon(id,'${advFilterEntity.eventName}')"
}
if (StringUtils.isNotBlank(advFilterEntity.eventType)) {
install_sql = install_sql + s" AND filterCommon(event_type,'${advFilterEntity.eventType}')"
event_sql = event_sql + s" AND filterCommon(event_type,'${advFilterEntity.eventType}')"
}
val adv_df = if (StringUtils.isNotBlank(advFilterEntity.eventName) || StringUtils.isNotBlank(advFilterEntity.eventType)) {
spark.sql(install_sql).union(spark.sql(event_sql)).dropDuplicates
} else {
spark.sql(install_sql).dropDuplicates
}
adv_df.createOrReplaceTempView("adv")
var end = ""
var updateDate = ""
if (advFilterEntity.end.compareTo(date) <= 0 && advFilterEntity.end.compareTo(DateUtil.getDayByString(date, "yyyyMMdd", -3)) >= 0) {
end = advFilterEntity.end
updateDate = sdf1.format(sdf2.parse(advFilterEntity.start))
} else {
end = date
val days = (sdf2.parse(advFilterEntity.end).getTime - sdf2.parse(advFilterEntity.start).getTime) / 1000 / 3600 / 24
val update_date = DateUtil.getDayByString(end, "yyyyMMdd", -days.toInt)
updateDate = sdf1.format(sdf2.parse(update_date))
}
val sql = Constant.filter_sql.replace("@date", end).replace("@update_date", updateDate)
spark.sql(sql).createOrReplaceTempView("user_info")
val df = spark.sql(adv_tag_sql)
.dropDuplicates(Seq("device_id"))
.rdd
.map(r => {
UserInfoEntity(r.getAs("device_id"), r.getAs("install"), r.getAs("interest"), r.getAs("country"), r.getAs("age"), r.getAs("gender"))
}).persist(StorageLevel.MEMORY_AND_DISK_SER)
(df, adv_df.count())
}
(baseDF._1, baseDF._2, jobId, top)
}
def processBase(baseDF: RDD[UserInfoEntity], count: Long, jobId: String, top: Integer, spark: SparkSession, bMap: Broadcast[scala.collection.Map[String, (String, String)]]): Dataset[Row] = {
val coalesce = 1
val sc = spark.sparkContext
// val all = baseDF.count()
val allDF = sc.parallelize(Seq(Result(jobId, "all", "all", count.toInt)))
import spark.implicits._
// .mapPartitions(distinctPartition(_, bMap, "package"))
val packageDF = baseDF
.mapPartitions(commonPartition(_, bMap, "package"))
.reduceByKey(_ + _)
.repartition(coalesce.toInt)
.sortBy(_._2, false)
.map(r => {
Result(jobId, "package", r._1, r._2)
})
val packageRDD = sc.parallelize(packageDF.take(top))
// .mapPartitions(distinctPartition(_, bMap, "interest"))
val interestDF = baseDF
.mapPartitions(commonPartition(_, bMap, "interest"))
.reduceByKey(_ + _)
.repartition(coalesce.toInt)
.sortByKey()
.map(r => {
Result(jobId, "interest", r._1, r._2)
})
// .mapPartitions(distinctPartition(_, bMap, "country"))
val countryDF = baseDF
.mapPartitions(commonPartition(_, bMap, "country"))
.reduceByKey(_ + _)
.repartition(coalesce.toInt)
.sortBy(_._2, false)
.map(r => {
Result(jobId, "country", r._1, r._2)
})
val countryRDD = sc.parallelize(countryDF.take(top))
// .mapPartitions(distinctPartition(_, bMap, "age"))
val ageDF = baseDF
.mapPartitions(commonPartition(_, bMap, "age"))
.reduceByKey(_ + _)
.repartition(coalesce.toInt)
.map(r => {
Result(jobId, "age", r._1, r._2)
})
// .mapPartitions(distinctPartition(_, bMap, "gender"))
val genderDF = baseDF
.mapPartitions(commonPartition(_, bMap, "gender"))
.reduceByKey(_ + _)
.repartition(coalesce.toInt)
.map(r => {
Result(jobId, "gender", r._1, r._2)
})
val df = allDF.union(packageRDD).union(interestDF).union(countryRDD).union(ageDF).union(genderDF)
.toDF
.repartition(1)
df
}
def getGenderId(id: String): String = {
val genderId =
id match {
case "1" => "00001001"
case "2" => "00001002"
case _ => "00001999"
}
genderId
}
def getAgeId(id: String): String = {
val ageId =
id match {
case "1" => "00002001"
case "2" => "00002002"
case "3" => "00002003"
case "4" => "00002004"
case "5" => "00002005"
case _ => "00002999"
}
ageId
}
def writeMySQL(df: Dataset[Row], table: String, saveMode: SaveMode): Unit = {
val prop = new java.util.Properties
prop.setProperty("driver", "com.mysql.jdbc.Driver")
prop.setProperty("user", "apptag_rw")
prop.setProperty("password", "7gyLEVtkER3u8c9")
prop.setProperty("characterEncoding", "utf8")
df.write.mode(saveMode).jdbc("jdbc:mysql://dataplatform-app-tag.c5yzcdreb1xr.us-east-1.rds.amazonaws.com:3306/datatory", table, prop)
}
def jdbcConnection(spark: SparkSession, database: String, table: String): DataFrame = {
val url = PropertyUtil.getProperty("config.properties", "mysql.mob_adn.url")
val username = PropertyUtil.getProperty("config.properties", "mysql.mob_adn.user")
val password = PropertyUtil.getProperty("config.properties", "mysql.mob_adn.password")
val properties = new Properties()
properties.put("driver", "com.mysql.jdbc.Driver")
properties.put("user", username)
properties.put("password", password)
properties.put("characterEncoding", "utf8")
println(s"url ==>> jdbc:mysql://adn-mysql-internal.mobvista.com:3306/${database},user ==>> ${username},password ==>> ${password}")
spark.read.jdbc(url = s"jdbc:mysql://${url}:3306/${database}", table = table, properties = properties)
}
def check_deviceId(device_id: String): Boolean = {
StringUtils.isNotBlank(device_id) && (device_id.matches(didPtn) && !device_id.equals(allZero) || device_id.matches(imeiPtn) || device_id.matches(andriodIdPtn))
}
}