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package mobvista.dmp.datasource.retargeting
import com.datastax.spark.connector._
import mobvista.dmp.util.PropertyUtil
import mobvista.prd.datasource.util.GsonUtil
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.{Row, SparkSession}
import scala.collection.mutable
class UserFeatureCassandra extends Serializable {
def commandOptions(): Options = {
val options = new Options()
options.addOption("input", true, "input")
options.addOption("region", true, "region")
options
}
private def run(args: Array[String]) {
val parser = new BasicParser()
val options = commandOptions()
val commandLine = parser.parse(options, args)
val input = commandLine.getOptionValue("input")
val region = commandLine.getOptionValue("region")
// val hk_host = "159.138.142.33,159.138.54.116,159.138.45.146,159.138.133.96,159.138.40.115,159.138.134.226,159.138.52.12"
// val vg_host = "172.20.104.221,172.20.104.217,172.20.104.216,172.20.104.219,172.20.104.220,172.20.104.218"
// val cn_host = "172.17.117.236,172.17.117.237,172.17.117.238"
// val hosts = Array(hk_host, vg_host, cn_host)
val spark = SparkSession
.builder()
.appName(s"UserFeatureCassandra.${region.toUpperCase}")
.config("spark.rdd.compress", "true")
.config("spark.io.compression.codec", "lz4")
.config("spark.sql.orc.filterPushdown", "true")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
.config("spark.cassandra.connection.host", PropertyUtil.getProperty("ip.properties", region + "_host"))
.config("spark.cassandra.connection.port", "9042")
.config("spark.cassandra.connection.factory", s"mobvista.dmp.utils.cassandra.${region.toUpperCase}Factory")
.config("spark.cassandra.connection.connections_per_executor_max", "16")
.config("spark.cassandra.output.concurrent.writes", "2048")
.config("spark.cassandra.concurrent.reads", "2048")
.config("spark.cassandra.output.batch.grouping.buffer.size", "2048")
.config("spark.cassandra.connection.keep_alive_ms", "600000")
.enableHiveSupport()
.getOrCreate()
try {
val bMap = spark.sparkContext.broadcast(spark.sql(Constant.id_old2new_sql).rdd.map(r => {
(r.getAs("tag_code").toString, r.getAs("tag_id").toString)
}).collectAsMap())
val rdd = spark.read.orc(input)
val keyspace = "dmp_realtime_service"
val table = "dmp_user_features"
val columns = SomeColumns("device_id", "age", "gender", "install_apps", "interest", "frequency" overwrite)
rdd.rdd.map(r => {
val device_id = r.getAs("device_id").toString
val age = r.getAs("age").asInstanceOf[Int]
val gender = r.getAs("gender").asInstanceOf[Int]
val install_apps = r.getAs("install_apps").toString
val interest = r.getAs("interest").asInstanceOf[mutable.WrappedArray[String]]
val interest_set = new mutable.HashSet[Int]()
interest.iterator.foreach(r => {
if (bMap.value.keySet.contains(r) && StringUtils.isNotBlank(bMap.value(r))) {
interest_set.add(bMap.value(r).toInt)
}
})
val frequencySet = new mutable.HashSet[(String, Int)]()
val frequency = r.getAs("frequency").toString
import scala.collection.JavaConversions._
val json = GsonUtil.String2JsonObject(frequency)
json.entrySet().foreach(j => {
if (StringUtils.isNotBlank(j.getKey) && bMap.value.keySet.contains(j.getKey)) {
frequencySet.add(bMap.value(j.getKey), j.getValue.getAsInt)
interest_set.add(bMap.value(j.getKey).toInt)
}
})
Row(device_id, age, gender, install_apps, interest_set.mkString(","), mutable.WrappedArray.make(frequencySet.toArray))
}).saveToCassandra(keyspace, table, columns)
} finally {
if (spark != null) {
spark.stop()
}
}
}
}
object UserFeatureCassandra {
def main(args: Array[String]): Unit = {
new UserFeatureCassandra().run(args)
/*
val threadPool: ExecutorService = Executors.newFixedThreadPool(1)
try {
//提交5个线程
for (i <- 0 to 2) {
threadPool.submit(new UserFeatureCassandra(args, i))
}
} finally {
threadPool.shutdown()
}
*/
}
}