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ML
ffm-baseline
Commits
f69059e1
Commit
f69059e1
authored
Jun 03, 2019
by
王志伟
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统计运维想要数据
parent
503365c2
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data_feed_exposure_precise.scala
.../src/main/scala/com/gmei/data_feed_exposure_precise.scala
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eda/feededa/src/main/scala/com/gmei/data_feed_exposure_precise.scala
View file @
f69059e1
...
...
@@ -846,6 +846,121 @@ object tag_value {
object
app_list_yunying
{
Logger
.
getLogger
(
"org.apache.spark"
).
setLevel
(
Level
.
WARN
)
Logger
.
getLogger
(
"org.apache.eclipse.jetty.server"
).
setLevel
(
Level
.
OFF
)
case
class
Params
(
env
:
String
=
"dev"
,
date
:
String
=
"2018-08-01"
)
extends
AbstractParams
[
Params
]
with
Serializable
val
defaultParams
=
Params
()
val
parser
=
new
OptionParser
[
Params
](
"Feed_EDA"
)
{
head
(
"WeafareStat"
)
opt
[
String
](
"env"
)
.
text
(
s
"the databases environment you used"
)
.
action
((
x
,
c
)
=>
c
.
copy
(
env
=
x
))
opt
[
String
]
(
"date"
)
.
text
(
s
"the date you used"
)
.
action
((
x
,
c
)
=>
c
.
copy
(
date
=
x
))
note
(
"""
|For example, the following command runs this app on a tidb dataset:
|
| spark-submit --class com.gmei.WeafareStat ./target/scala-2.11/feededa-assembly-0.1.jar \
"""
.
stripMargin
+
s
"| --env ${defaultParams.env}"
)
}
def
main
(
args
:
Array
[
String
])
:
Unit
=
{
parser
.
parse
(
args
,
defaultParams
).
map
{
param
=>
GmeiConfig
.
setup
(
param
.
env
)
val
spark_env
=
GmeiConfig
.
getSparkSession
()
val
sc
=
spark_env
.
_2
sc
.
sql
(
"use jerry_prod"
)
// val ti = new TiContext(sc)
// ti.tidbMapTable(dbName = "jerry_prod", tableName = "diary_video")
// ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_click")
// ti.tidbMapTable(dbName = "jerry_prod", tableName = "blacklist")
// ti.tidbMapTable(dbName = "jerry_test", tableName = "bl_device_list")
// ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_exposure")
// ti.tidbMapTable(dbName = "jerry_prod", tableName = "merge_queue_table")
import
sc.implicits._
val
stat_date
=
GmeiConfig
.
getMinusNDate
(
1
)
println
(
stat_date
)
val
partition_date
=
stat_date
.
replace
(
"-"
,
""
)
println
(
partition_date
)
//每日新用户
val
device_id_newUser
=
sc
.
sql
(
s
"""
|select distinct(device_id) as device_id
|from online.ml_device_day_active_status
|where (active_type = '1' or active_type='2')
|and first_channel_source_type not in ('yqxiu1','yqxiu2','yqxiu3','yqxiu4','yqxiu5','mxyc1','mxyc2','mxyc3'
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03','','unknown','promotion_zuimei')
|and partition_date ='${partition_date}'
"""
.
stripMargin
)
device_id_newUser
.
createOrReplaceTempView
(
"device_id_new"
)
val
app_list
=
sc
.
sql
(
s
"""
|select '${stat_date}' as stat_date,a.params as app_list
|from online.tl_hdfs_maidian_view a
|inner join device_id_new b
|on a.cl_id=b.device_id
|where a.partition_date ='${partition_date}'
|and a.action='user_installed_all_app_info'
"""
.
stripMargin
)
app_list
.
show
()
val
result1
=
app_list
result1
.
show
()
println
(
"开始写入"
)
GmeiConfig
.
writeToJDBCTable
(
"jdbc:mysql://172.16.40.158:4000/jerry_prod?user=root&password=3SYz54LS9#^9sBvC&rewriteBatchedStatements=true"
,
result1
,
table
=
"app_list_yunying"
,
SaveMode
.
Overwrite
)
println
(
"写入完成"
)
}
}
}
object
test_data
{
...
...
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