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PySpark-模糊日期匹配或加入

如何解决PySpark-模糊日期匹配或加入

我需要在main_df中创建一个二进制变量,条件是距ind_df最近的共同日期。

main=spark.createDataFrame([("J1","2016-10-01 00:42:00",100),("J1","2016-10-01 11:45:30",200),"2016-10-05 16:20:00",("J9","2016-10-06 08:35:00",300),"2016-10-07 01:20:00",200)],["id","date","value"]).show()

ind_df=spark.createDataFrame([("J1","2016-10-01 00:15:30"),"2016-10-01 11:45:40"),"2016-10-07 01:20:50")],"date"]).show()


+---+-------------------+-----+
| id|               date|value|
+---+-------------------+-----+
| J1|2016-10-01 00:42:00|  100|
| J1|2016-10-01 11:45:30|  200|
| J1|2016-10-05 16:20:00|  100|
| J9|2016-10-06 08:35:00|  300|
| J9|2016-10-07 01:20:00|  200|
+---+-------------------+-----+

+---+-------------------+
| id|               date|
+---+-------------------+
| J1|2016-10-01 00:15:30|
| J1|2016-10-01 11:45:40|
| J9|2016-10-07 01:20:50|
+---+-------------------+

所需的数据框:

+---+-------------------+-----+-----+
| id|               date|value| ind |
+---+-------------------+-----+-----+
| J1|2016-10-01 00:42:00|  100|  1  |
| J1|2016-10-01 11:45:30|  200|  1  |
| J1|2016-10-05 16:20:00|  100|  0  |
| J9|2016-10-06 08:35:00|  300|  0  |
| J9|2016-10-07 01:20:00|  200|  1  |
+---+-------------------+-----+-----+

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