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| val rows_between_df = empsalary.withColumn("max_salary", max("salary").over(winSpec)) | |
| rows_between_df.show() |
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| val winSpec = Window.partitionBy("depName") | |
| .orderBy("salary").rowsBetween(-1, 1) |
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| val winSpec = Window.partitionBy("depName").orderBy("salary") | |
| .rangeBetween(300L, Window.unboundedFollowing) | |
| val range_unbounded_df = empsalary.withColumn("max_salary", max("salary").over(winSpec)) | |
| range_unbounded_df.show() |
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| val range_between_df = empsalary.withColumn("max_salary", max("salary").over(winSpec)) | |
| range_between_df.show() |
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| val winSpec = Window.partitionBy("depName") | |
| .orderBy("salary") | |
| .rangeBetween(100L, 300L) |
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| val winSpec = Window.partitionBy("depName").orderBy("salary") | |
| val lead_df = | |
| empsalary.withColumn("lead", lead("salary", 2).over(winSpec)) | |
| lead_df.show() |
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| val winSpec = Window.partitionBy("depName").orderBy("salary") | |
| val lag_df = | |
| empsalary.withColumn("lag", lag("salary", 2).over(winSpec)) | |
| lag_df.show() |
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| val winSpec = Window.partitionBy("depName").orderBy("salary") | |
| val cume_dist_df = | |
| empsalary.withColumn("cume_dist",cume_dist().over(winSpec)) | |
| cume_dist_df.show() |
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| val ntile_df = empsalary.withColumn("ntile", ntile(3).over(winSpec)) | |
| ntile_df.show() |
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| val percent_rank_df = empsalary.withColumn("percent_rank", percent_rank().over(winSpec)) | |
| percent_rank_df.show() |
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