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package mobvista.dmp.datasource.rtdmp
import java.net.URI
import mobvista.dmp.common.{CommonSparkJob, MobvistaConstant}
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.SaveMode
/**
* @package: mobvista.dmp.datasource.rtdmp
* @author: wangjf
* @date: 2020/7/13
* @time: 11:25 上午
* @email: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
class DeviceInfoCalc extends CommonSparkJob with Serializable {
def commandOptions(): Options = {
val options = new Options()
options.addOption("date", true, "date")
options.addOption("output", true, "output")
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 output = commandLine.getOptionValue("output")
val spark = MobvistaConstant.createSparkSession(s"DeviceInfoCalc.$date")
val sc = spark.sparkContext
try {
val sql = Constant.device_info_sql.replace("@dt", date)
spark.udf.register("processToRegion", Logic.processToRegion _)
FileSystem.get(new URI(s"s3://mob-emr-test"), sc.hadoopConfiguration).delete(new Path(output), true)
spark.sql(sql)
.coalesce(4000)
.write
.mode(SaveMode.Overwrite)
.option("orc.compress", "zlib")
.orc(output)
} finally {
if (sc != null) {
sc.stop()
}
if (spark != null) {
spark.stop()
}
}
0
}
}
object DeviceInfoCalc {
def main(args: Array[String]): Unit = {
new DeviceInfoCalc().run(args)
}
}