У меня есть SQL-запрос, к которому я должен получить доступ в PySpark (DataBricks).из-за сложного запроса PySpark не может прочитать то же самое.Может ли кто-нибудь проверить мой запрос и помочь мне записать этот запрос в одном операторе «SELECT», не используя оператор «WITH».
Stage:- 1
promotions="""
(WITH VCTE_Promotions as (SELECT v.Shortname, v.Employee_ID_ALT, v.Job_Level,
v.Management_Level, CAST(sysdatetime() AS date) AS PIT_Date, v.Employee_Status_Alt as Employee_Status,
v.Work_Location_Region, v.Work_Location_Country_Desc, v.HML,
[DM_GlobalStaff].[dbo].[V_Worker_PIT].Is_Manager
FROM [DM_GlobalStaff].[dbo].[V_Worker_CUR] as v
LEFT OUTER JOIN
[DM_GlobalStaff].[dbo].[V_Worker_PIT] ON v.Management_Level = [DM_GlobalStaff].[dbo].[V_Worker_PIT].Management_Level),
VCTE_Promotion_v2_Eval as (
SELECT Employee_ID_ALT,
( SELECT max([pit_date]) AS prior_data
FROM [DM_GlobalStaff].[dbo].[V_Worker_PIT] AS t
WHERE (employee_id_alt = a.Employee_ID_ALT) AND (PIT_Date < a.PIT_Date) AND (Is_Manager <> a.Is_Manager) OR
(employee_id_alt = a.Employee_ID_ALT) AND (PIT_Date < a.PIT_Date) AND (Job_Level <> a.Job_Level)) AS prev_job_change_date, Is_Manager
FROM VCTE_Promotions AS a)
SELECT VCTE_Promotion_v2_Eval.Employee_ID_ALT, COALESCE (v_cur.Employee_Status_ALT, N'') AS Curr_Emp_Status,
COALESCE (v_cur.Employee_Type, N'') AS Curr_Employee_Type, v_cur.Hire_Date_Alt AS Curr_Hire_Date,
v_cur.Termination_Date_ALT AS Curr_Termination_Date, COALESCE (v_cur.Termination_Action_ALT, N'')
AS Curr_Termination_Action, cast (v_cur.Job_Level as int) AS Curr_Job_Level,
COALESCE (v_cur.Management_Level, N'') AS Curr_Management_Level,
COALESCE (VCTE_Promotion_v2_Eval.Is_Manager, N'') AS Curr_Ismanager,
CASE WHEN v_m.Job_Level < v_cur.Job_Level OR
(VCTE_Promotion_v2_Eval.Is_Manager = 1 AND v_m.Is_Manager = 0 AND v_m.Job_Level <= v_cur.Job_Level)
THEN 'Promotion' WHEN v_m.Job_Level <> v_cur.Job_Level OR
VCTE_Promotion_v2_Eval.Is_Manager <> v_m.Is_Manager THEN 'Other' ELSE '' END AS Promotion, v_cur.Tenure,
v_cur.Review_Rating_Current
FROM VCTE_Promotion_v2_Eval INNER JOIN
[DM_GlobalStaff].[dbo].[V_Worker_CUR] as v_cur ON VCTE_Promotion_v2_Eval.Employee_ID_ALT = v_cur.Employee_ID_ALT LEFT OUTER JOIN
[DM_GlobalStaff].[dbo].[V_Worker_PIT] as v_m ON VCTE_Promotion_v2_Eval.prev_job_change_date = v_m.PIT_Date AND
VCTE_Promotion_v2_Eval.Employee_ID_ALT = v_m.employee_id_alt
) as pr """
stage-2
promotions = spark.read.jdbc(url=jdbcUrl, table=promotions, properties=connectionProperties)
stage-3
promotions.count()
promotions.show()
Ошибка ниже, полученная в запросе этапа 2: -
com.microsoft.sqlserver.jdbc.SQLServerException: Incorrect syntax near the keyword 'WITH'.
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<command-2532359884208251> in <module>()
----> 1 promotions = spark.read.jdbc(url=jdbcUrl, table=promotions, properties=connectionProperties)
/databricks/spark/python/pyspark/sql/readwriter.py in jdbc(self, url, table, column, lowerBound, upperBound, numPartitions, predicates, properties)
533 jpredicates = utils.toJArray(gateway, gateway.jvm.java.lang.String, predicates)
534 return self._df(self._jreader.jdbc(url, table, jpredicates, jprop))
--> 535 return self._df(self._jreader.jdbc(url, table, jprop))
536
537
У меня нет проблем с моим запросом, это прекрасно работает с моим запросом SQL.Но как только я использую тот же запрос в PYSPARK (DataBricks), я получаю синтаксическую ошибку.Не могли бы вы помочь мне с синтаксисом PySpark.
Ваша помощь в Срочном порядке будет высоко оценена.