1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
package mobvista.dmp.datasource.adn
import mobvista.dmp.common.{CommonSparkJob, MobvistaConstant}
import mobvista.dmp.util.MRUtils
import org.apache.commons.cli.{BasicParser, Options}
import org.apache.commons.lang3.StringUtils
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.hadoop.io.compress.GzipCodec
import java.net.URI
import scala.collection.mutable.ArrayBuffer
/**
* @package: mobvista.dmp.datasource.adn
* @author: wangjf
* @date: 2021/2/23
* @time: 5:12 下午
* @email: jinfeng.wang@mobvista.com
*/
class AdnPreClickDaily extends CommonSparkJob with Serializable {
def commandOptions(): Options = {
val options = new Options()
options.addOption("datetime", true, "datetime")
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)
val datetime = commandLine.getOptionValue("datetime")
val output = commandLine.getOptionValue("output")
val coalesce = commandLine.getOptionValue("coalesce")
val spark = MobvistaConstant.createSparkSession(s"AdnPreClickDaily.$datetime")
val year = datetime.substring(0, 4)
val month = datetime.substring(4, 6)
val day = datetime.substring(6, 8)
val sql =
s"""
|SELECT request_id, campaign_id, platform, gaid, idfa, imei, dev_id android_id, getDevId(ext_sysid) sysid, getRuid(ext_algo) ruid, getDevId(cdn_ab) idfv, ext_oaid oaid
|FROM dwh.ods_adn_trackingnew_preclick WHERE yyyy = '$year' AND mm = '$month' AND dd = '$day' AND request_id != '0' AND LENGTH(campaign_id) >= 2
|""".stripMargin
try {
spark.udf.register("getDevId", AdnConstant.getDevId _)
spark.udf.register("getRuid", AdnConstant.getRuid _)
val rdd = spark.sql(sql).rdd.map(r => {
val arrayBuffer = new ArrayBuffer[String]()
val requestId = r.getAs[String]("request_id")
val campaignId = r.getAs[String]("campaign_id")
val platform = r.getAs[String]("platform")
val gaid = r.getAs[String]("gaid")
val idfa = r.getAs[String]("idfa")
val imei = r.getAs[String]("imei")
val androidId = r.getAs[String]("android_id")
val sysId = r.getAs[String]("sysid")
val idfv = r.getAs[String]("idfv")
val oaid = r.getAs[String]("oaid")
val ruid = r.getAs[String]("ruid")
if (StringUtils.isNotBlank(gaid) && gaid.matches(MobvistaConstant.didPtn)) {
arrayBuffer += MRUtils.JOINER.join(gaid, "gaid", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(idfa) && idfa.matches(MobvistaConstant.didPtn)) {
arrayBuffer += MRUtils.JOINER.join(idfa, "idfa", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(imei) && imei.matches(MobvistaConstant.imeiPtn)) {
arrayBuffer += MRUtils.JOINER.join(imei, "imei", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(androidId) && androidId.matches(MobvistaConstant.andriodIdPtn)) {
arrayBuffer += MRUtils.JOINER.join(androidId, "androidid", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(idfv) && idfv.matches(MobvistaConstant.didPtn)) {
arrayBuffer += MRUtils.JOINER.join(idfv, "idfv", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(oaid) && oaid.matches(MobvistaConstant.oaidPtb)) {
arrayBuffer += MRUtils.JOINER.join(oaid, "oaid", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(sysId) && sysId.matches(MobvistaConstant.didPtn)) {
arrayBuffer += MRUtils.JOINER.join(sysId, "sysid", requestId, campaignId, platform)
}
if (StringUtils.isNotBlank(ruid) && ruid.length > 16) {
arrayBuffer += MRUtils.JOINER.join(ruid, "ruid", requestId, campaignId, platform)
}
arrayBuffer.toIterator
}).flatMap(l => l)
FileSystem.get(new URI(s"s3://mob-emr-test"), spark.sparkContext.hadoopConfiguration).delete(new Path(output), true)
rdd.repartition(coalesce.toInt)
.saveAsTextFile(output, classOf[GzipCodec])
} finally {
if (spark != null) {
spark.stop()
}
}
0
}
}
object AdnPreClickDaily{
def main(args: Array[String]): Unit = {
new AdnPreClickDaily().run(args)
}
}