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ML
ffm-baseline
Commits
7c7cdda8
Commit
7c7cdda8
authored
Sep 27, 2019
by
张彦钊
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hello.py
hello.py
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hello.py
View file @
7c7cdda8
...
...
@@ -8,17 +8,13 @@ import time
from
pyspark
import
StorageLevel
def
ctr
(
x
):
def
position
(
x
,
y
):
sum
=
0
for
i
in
x
:
if
i
[
'is_cpc'
]
==
1
:
if
i
nt
(
i
[
'absolute_position'
])
<=
y
:
sum
=
sum
+
1
return
sum
def
f
(
x
):
print
(
x
)
if
__name__
==
'__main__'
:
sparkConf
=
SparkConf
()
.
set
(
"spark.hive.mapred.supports.subdirectories"
,
"true"
)
\
...
...
@@ -30,7 +26,7 @@ if __name__ == '__main__':
.
set
(
"spark.driver.maxResultSize"
,
"8g"
)
.
set
(
"spark.sql.avro.compression.codec"
,
"snappy"
)
spark
=
SparkSession
.
builder
.
config
(
conf
=
sparkConf
)
.
enableHiveSupport
()
.
getOrCreate
()
sql
=
"select par
tition_date
from online.ml_community_precise_exposure_detail "
\
sql
=
"select par
ams['exposure_cards']
from online.ml_community_precise_exposure_detail "
\
"where action = 'page_precise_exposure' and page_name = 'search_result_welfare' "
\
"AND partition_date='20190926' limit 20"
df
=
spark
.
sql
(
sql
)
...
...
@@ -38,9 +34,9 @@ if __name__ == '__main__':
# # params['exposure_cards'],
rdd
=
df
.
rdd
.
map
(
lambda
x
:(
x
[
0
],))
#
print
(
rdd
.
collect
())
#
print(rdd.collect())
#
spark
.
createDataFrame
(
rdd
)
.
show
(
6
)
spark
.
createDataFrame
(
rdd
)
.
show
(
20
)
...
...
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