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package mobvista.dmp.datasource.fmp
import java.net.URI
import java.text.SimpleDateFormat
import java.util.{Calendar, Date}
import mobvista.dmp.common.CommonSparkJob
import mobvista.dmp.util.JdbcUtils
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.hadoop.io.compress.GzipCodec
import org.apache.spark.sql.SparkSession
/**
* @package: mobvista.dmp.datasource.fmp
* @author: wangjf
* @date: 2019-06-10
* @time: 16:45
* @emial: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
class FmpInsightJob extends CommonSparkJob {
def commandOptions(): Options = {
val options = new Options()
options.addOption("data", true, "data")
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)
var data = commandLine.getOptionValue("data")
var output = commandLine.getOptionValue("output")
val coalesce = commandLine.getOptionValue("coalesce")
val spark = SparkSession
.builder()
.appName("FmpInsightJob")
.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.autoBroadcastJoinThreshold", "209715200")
.config("spark.sql.warehouse.dir", "s3://mob-emr-test/spark-warehouse")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.enableHiveSupport()
.getOrCreate()
try {
data = data.replaceAll("""\\\"""","""\\""").replaceAll("""\\""", """\\\"""")
val jobProfileEntity: JobProfileEntity = Constant.parseJsonStringJob(data.replaceAll("#*#", " "))
val job_id = jobProfileEntity.job_id
output = output + "/" + job_id
FileSystem.get(new URI(s"s3://mob-emr-test"), spark.sparkContext.hadoopConfiguration).delete(new Path(output), true)
val dfc = Constant.getDF(spark, jobProfileEntity)
dfc._1.rdd.map(r => {
r.getAs(0).toString
}).coalesce(coalesce.toInt).saveAsTextFile(output, classOf[GzipCodec])
val sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss")
val return_data_num = dfc._2
val jdbcUtils = new JdbcUtils
val connection = jdbcUtils.getConnection("dmp_fmp")
val cal = Calendar.getInstance()
cal.setTime(new Date())
cal.add(Calendar.HOUR, 13)
val update_time = sdf.format(cal.getTime)
val sql =
s"""
|UPDATE dmp_fmp.job_profile SET return_data_num = ${return_data_num}, path = '${output}', flag = 1, update_time = '${update_time}' WHERE job_id = '${job_id}'
""".stripMargin
println("更新:==>>" + jdbcUtils.update(sql))
} finally {
if (spark != null) {
spark.stop()
}
}
0
}
}
object FmpInsightJob {
def main(args: Array[String]): Unit = {
new FmpInsightJob().run(args)
}
}