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ML
ffm-baseline
Commits
29baf18b
Commit
29baf18b
authored
May 08, 2019
by
张彦钊
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test.py
tensnsorflow/test.py
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tensnsorflow/test.py
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29baf18b
# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
from
pyspark.context
import
SparkContext
from
pyspark.context
import
SparkContext
from
pyspark.conf
import
SparkConf
from
pyspark.conf
import
SparkConf
import
pytispark.pytispark
as
pti
#
import pytispark.pytispark as pti
from
pyspark.sql
import
SparkSession
from
pyspark.sql
import
SparkSession
...
@@ -37,11 +37,11 @@ if __name__ == '__main__':
...
@@ -37,11 +37,11 @@ if __name__ == '__main__':
.
set
(
"spark.driver.maxResultSize"
,
"8g"
)
.
set
(
"spark.driver.maxResultSize"
,
"8g"
)
spark
=
SparkSession
.
builder
.
config
(
conf
=
sparkConf
)
.
enableHiveSupport
()
.
getOrCreate
()
spark
=
SparkSession
.
builder
.
config
(
conf
=
sparkConf
)
.
enableHiveSupport
()
.
getOrCreate
()
ti
=
pti
.
TiContext
(
spark
)
#
ti = pti.TiContext(spark)
ti
.
tidbMapDatabase
(
"jerry_test"
)
#
ti.tidbMapDatabase("jerry_test")
spark
.
sparkContext
.
setLogLevel
(
"WARN"
)
#
spark.sparkContext.setLogLevel("WARN")
sql
=
"select stat_date,cid_id,y,ccity_name from esmm_train_data limit 60"
#
sql = "select stat_date,cid_id,y,ccity_name from esmm_train_data limit 60"
spark
.
sql
(
sql
)
.
show
(
6
)
#
spark.sql(sql).show(6)
spark
.
sql
(
"use online"
)
spark
.
sql
(
"use online"
)
spark
.
sql
(
"ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar"
)
spark
.
sql
(
"ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar"
)
...
...
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