update

task/spark_test.py

@@ -78,9 +78,107 @@ spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF
 spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
 spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")
 
-
+huidu_device_id_sql = r"""
+select t2.device_id from 
+--(select distinct(first_device) as device_id from online.ml_user_history_detail where partition_date = {today_str} and last_active_date >= {last_30_day_str}) t2
+(select device_id from online.ml_device_day_active_status where partition_date = '{today_str}' and active_type in (1,2)) t2
+ LEFT JOIN
+    (
+        select distinct device_id
+        from ml.ml_d_ct_dv_devicespam_d  --去除机构刷单设备，即作弊设备（浏览和曝光事件去除）
+        WHERE partition_day='{today_str}'
+
+        union all
+
+        select distinct device_id
+        from dim.dim_device_user_staff   --去除内网用户
+    )spam_pv
+    on spam_pv.device_id=t2.device_id
+        LEFT JOIN
+    (
+        SELECT partition_date,device_id
+        FROM
+            (--找出user_id当天活跃的第一个设备id
+          SELECT user_id,partition_date,
+                  if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
+            FROM online.ml_user_updates
+            WHERE partition_date='{today_str}'
+        )t1
+                JOIN
+            (  --医生账号
+          SELECT distinct user_id
+          FROM online.tl_hdfs_doctor_view
+          WHERE partition_date = '{today_str}'
+
+          --马甲账号/模特用户
+          UNION ALL
+          SELECT user_id
+          FROM ml.ml_c_ct_ui_user_dimen_d
+          WHERE partition_day = '{today_str}'
+          AND (is_puppet = 'true' or is_classifyuser = 'true')
+
+          UNION ALL
+          --公司内网覆盖用户
+          select distinct user_id
+          from dim.dim_device_user_staff
+
+          UNION ALL
+          --登陆过医生设备
+          SELECT distinct t1.user_id
+            FROM
+            (
+                SELECT user_id, v.device_id as device_id
+                FROM online.ml_user_history_detail
+                    LATERAL VIEW EXPLODE(device_history_list) v AS device_id
+                WHERE partition_date = '{today_str}'
+            ) t1
+            JOIN
+            (
+                SELECT device_id
+                FROM online.ml_device_history_detail
+                WHERE partition_date = '{today_str}'
+                AND is_login_doctor = '1'
+            ) t2
+                ON t1.device_id = t2.device_id
+        )t2
+            on t1.user_id=t2.user_id
+        group by partition_date,device_id
+    )dev
+    on t2.device_id=dev.device_id
+WHERE spam_pv.device_id IS NULL
+  and dev.device_id is null
+
+""".format(today_str='20200926', last_30_day_str='20200926')
+
+print(huidu_device_id_sql)
+huidu_device_id_df = spark.sql(huidu_device_id_sql)
+huidu_device_id_df.createOrReplaceTempView("dev_view")
 sql_search_ctr = r"""
- select count(device_id) from online.ml_device_day_active_status where partition_date = '{today_str}' and active_type in (1,2)
+   SELECT
+        count(1)
+        FROM
+        (select device_id from dev_view) t1 left join
+        (
+           SELECT 
+                  cl_id,
+                  card_id,
+                  app_session_id,
+                  transaction_type
+           from online.ml_community_precise_exposure_detail
+           WHERE partition_date>= '${today_str}'
+           AND action in ('page_precise_exposure','home_choiceness_card_exposure') --7745版本action改为page_precise_exposure
+           AND is_exposure = '1'  ----精准曝光
+           AND page_name ='home'
+           AND tab_name = '精选'
+           AND (transaction_type in ('-1','smr','hotspot','pgc','newdata','hotspot_feed','aistragegy','excestragegy','FIXEDSTRATEGY','FIXEDSTRATEGY_VIDEO','high_quality_fmctr')
+                or transaction_type like '%ctr' or transaction_type like '%cvr' or transaction_type like 'deeplink%')
+           AND card_content_type in ('user_post')
+           group by 
+                  cl_id,
+                  transaction_type,
+                  card_id,
+                  app_session_id
+        )a on t1.device_id = a.cl_id   group by a.cl_id,a.card_id,a.transaction_type
 """.format(today_str='20200926')
 
 print(sql_search_ctr)