Динамическая передача значений в sparkSQL - PullRequest
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Динамическая передача значений в sparkSQL

0 голосов
/ 09 мая 2018

В основном я передаю динамические значения в pyspark SQL. Мой код подробно описан ниже: 

set_sql = "".join(["set app_list_0 = 'app_3'"])

    sqlContext.sql(set_sql)

    click_app_join_sql = sqlContext.sql("select click_id, (case when app_new in ${app_list_0} then 1 else 0 END) as  ${app_list_0}, device, os, channel from clickDF ")

    click_app = sqlContext.sql(click_app_join_sql)

    click_app.show(3)

Когда я запускаю свой код, я получаю следующую ошибку. Подскажите, пожалуйста, что не так в приведенном выше коде. 

File "/home/saureddi/spark/data_process/hive_data_process.py", line 103, in <module>
    click_app_join_sql = sqlContext.sql("select click_id, (case when app_new in ${app_list_0} then 1 else 0 END) as  ${app_list_0}, device, os, channel from clickDF ")
  File "/usr/hdp/2.6.4.0-91/spark2/python/lib/pyspark.zip/pyspark/sql/context.py", line 384, in sql
  File "/usr/hdp/2.6.4.0-91/spark2/python/lib/pyspark.zip/pyspark/sql/session.py", line 603, in sql
  File "/usr/hdp/2.6.4.0-91/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "/usr/hdp/2.6.4.0-91/spark2/python/lib/pyspark.zip/pyspark/sql/utils.py", line 73, in deco
pyspark.sql.utils.ParseException: u"\nno viable alternative at input '(case when app_new in 'app_3''(line 1, pos 39)\n\n== SQL ==\nselect click_id, (case when app_new in 'app_3' then 1 else 0 END) as  'app_3', device, os, channel from clickDF \n---------------------------------------^^^\n"

Код: 

app_sql = "".join(["select a.app, CONCAT('app', '_',a.app) as new_app, a.app_count from(select app, count(app) as app_count from dblclk_text.click_data group by app )a order by a.app_count desc limit 5"])
df1 = hiveContext.sql(app_sql)
df1.createOrReplaceTempView('app')
df1_new_app = sqlContext.sql("select new_app from app ")
df1_new_app.printSchema()

app_list = []
app_result = df1_new_app.collect()

print(type(app_result))

for app in app_result:
    app_list.append(app)

click_sql = "select click_id,CONCAT ('app', '_', app) as app_new, device, os, channel from dblclk_text.click_pank_data"
clickDF = hiveContext.sql(click_sql)

clickDF.createOrReplaceTempView('clickDF')

app_list_0 = str(app_list[0])
#app_list_0 = 'app_3'

print (app_list_0)

sample_sql = '''select click_id, (case when app_new in {0} then 1 else 0 END) as  {0}, device, os, channel from clickDF '''.format(app_list_0)
click_app_join_sql = sqlContext.sql(sample_sql)
click_app = sqlContext.sql(click_app_join_sql)
click_app.show(3)

1 Ответ

0 голосов
/ 09 мая 2018 
sample_sql = '''
select tenant, user_id, event_type,bounce_class from {0}
where {1} and  {2} and  {3} and  {4}
and (event_type in ('list_unsubscribe', 'link_unsubscribe', 'spam_complaint') or bounce_class in ('10','30','90'))
and tenant is not null
and tenant != '' 
'''.format(table_name, dateid_start, dateid_end,event_timestamp_start,event_timestamp_end)

HiveContext.sql(sample_sql)

table_name, dateid_start, dateid_end, event_timestamp_start, event_timestamp_end являются значениями Python.

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