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package mobvista.dmp.datasource.behavior
import java.net.URI
import mobvista.dmp.common.CommonSparkJob
import org.apache.commons.cli.Options
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.{Row, SaveMode, SparkSession}
class ThirdPartySourceTotal extends CommonSparkJob {
override protected def buildOptions(): Options = {
val options = new Options
options.addOption("outputtotal", true, "[must] outputtotal")
options.addOption("dmpevent",true, "[must] dmpevent")
options.addOption("coalesce", true, "[must] coalesce")
options.addOption("yesterday", true, "[must] yesterday")
options
}
override protected def run(args: Array[String]): Int = {
val commandLine = commParser.parse(options, args)
if (!checkMustOption(commandLine)) {
printUsage(options)
return -1
} else printOptions(commandLine)
val outputtotal = commandLine.getOptionValue("outputtotal")
val dmpevent = commandLine.getOptionValue("dmpevent")
val coalesce = commandLine.getOptionValue("coalesce")
val yesterday = commandLine.getOptionValue("yesterday")
val spark = SparkSession.builder()
.appName("Behavior_thirdparty_Total")
.config("spark.rdd.compress", "true")
.config("spark.io.compression.codec", "snappy")
.config("spark.sql.orc.filterPushdown", "true")
.config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.enableHiveSupport()
.getOrCreate()
FileSystem.get(new URI(s"s3://mob-emr-test"), spark.sparkContext.hadoopConfiguration).delete(new Path(outputtotal), true)
FileSystem.get(new URI(s"s3://mob-emr-test"), spark.sparkContext.hadoopConfiguration).delete(new Path(dmpevent), true)
try {
val sql1 =
s"""
SELECT device_id,country,device_type,platform,tag_name,tag_value,package_name,event_day
|from dwh.etl_behavior_thirdparty_data_total where dt ='${yesterday}'
""".stripMargin
spark.sql(sql1).coalesce(coalesce.toInt)
.write
.mode(SaveMode.Overwrite)
.option("orc.compress", "zlib")
.orc(outputtotal)
spark.sql(sql1).coalesce(coalesce.toInt)
.write
.mode(SaveMode.Overwrite)
.option("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec")
.parquet(dmpevent)
} finally {
spark.stop()
}
0
}
}
object ThirdPartySourceTotal {
def main(args: Array[String]): Unit = {
new ThirdPartySourceTotal().run(args)
}
}