package mobvista.dmp.datasource.datatory import mobvista.dmp.common.CommonSparkJob import org.apache.commons.cli.{BasicParser, Options} import org.apache.commons.lang3.StringUtils import org.apache.hadoop.fs.{FileSystem, Path} import org.apache.spark.sql.types.{StringType, StructField, StructType} import org.apache.spark.sql.{Dataset, Row, SaveMode, SparkSession} import org.apache.spark.storage.StorageLevel import java.net.URI /** * @package: mobvista.dmp.datasource.datatory * @author: wangjf * @date: 2019/4/25 * @time: 下午3:19 * @email: jinfeng.wang@mobvista.com * @phone: 152-1062-7698 */ class TrackingEventDaily extends CommonSparkJob with java.io.Serializable { def commandOptions(): Options = { val options = new Options() options.addOption("date", true, "date") options.addOption("before_date", true, "before_date") options.addOption("output", true, "output") options.addOption("info_output", true, "info_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 before_date = commandLine.getOptionValue("before_date") val output = commandLine.getOptionValue("output") val info_output = commandLine.getOptionValue("info_output") val spark = SparkSession .builder() .appName("TrackingEventDaily") .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.warehouse.dir", "s3://mob-emr-test/spark-warehouse") .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer") .enableHiveSupport() .getOrCreate() val sc = spark.sparkContext try { import spark.implicits._ /* campaingMaps = sc.broadcast(Constant.jdbcConnection(spark, "mob_adn", "campaign_list") .select("id", "network_cid") .groupBy("network_cid") .agg(concat_ws(",", collect_set("id"))) .filter(r => { StringUtils.isNotBlank(r.getAs("network_cid").toString) }).rdd.map(r => { (r.getAs("network_cid").toString, r.getAs("id").toString) }).collectAsMap()) spark.udf.register("getCampaignIds", getCampaignIds _) Constant.jdbcConnection(spark, "mob_adn", "campaign_list") .rdd.map(r => { (r.getAs("network_cid").toString, r.getAs("id")) }).saveAsTextFile(output, classOf[GzipCodec]) */ FileSystem.get(new URI(s"s3://mob-emr-test"), sc.hadoopConfiguration).delete(new Path(output), true) var sql = Constant.tracking_event_sql.replace("@date", date) spark.sql(sql) .filter(r => { Constant.check_deviceId(r.getAs("device_id")) }) .write .mode(SaveMode.Overwrite) .option("orc.compress", "snappy") .orc(output) val campaingDF = Constant.jdbcConnection(spark, "mob_adn", "campaign_list") .select("id", "network_cid") .filter(r => { StringUtils.isNotBlank(r.getAs("network_cid").toString) }).rdd.map(r => { Row(r.getAs("network_cid").toString, r.getAs("id").toString) }) val schema = StructType(Array( StructField("network_cid", StringType), StructField("id", StringType))) spark.createDataFrame(campaingDF, schema = schema).createOrReplaceTempView("campaign_tb") sql = Constant.event_info_sql.replace("@date", date) val df_1 = spark.sql(sql) sql = Constant.tracking_event_info_sql.replace("@date", date) val df_2 = spark.sql(sql) val df: Dataset[Row] = df_1.union(df_2) .dropDuplicates .rdd .filter(r => { r.getAs("offer_id") != null && StringUtils.isNotBlank(r.getAs("offer_id").toString) }) .map(r => { EventInfo(r.getAs("id"), r.getAs("event_name"), r.getAs("event_type"), r.getAs("offer_id")) }).toDF val oldDF = spark.sql(Constant.all_event_info_sql.replace("@before_date", before_date)) val newDF = oldDF.union(df).dropDuplicates.repartition(1).persist(StorageLevel.MEMORY_ONLY_SER) newDF .write .mode(SaveMode.Overwrite) .option("orc.compress", "snappy") .orc(info_output) Constant.writeMySQL(newDF, "event_info", SaveMode.Overwrite) } finally { if (spark != null) { spark.stop() } } 0 } /* def getCampaignIds(id: String): String = { campaingMaps.value.getOrElse(id, "") } */ } object TrackingEventDaily { def main(args: Array[String]): Unit = { new TrackingEventDaily().run(args) } }