zero-one.geni.core.window — zero.one/geni 0.0.40

current-row clj

Params:

Result: Long

Value representing the current row. This can be used to specify the frame boundaries:

2.1.0

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/expressions/Window$.html

Timestamp: 2020-10-19T01:56:25.028Z

over clj

(over column window-spec)

Params: (window: WindowSpec)

Result: Column

Defines a windowing column.

1.4.0

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/Column.html

Timestamp: 2020-10-19T01:56:19.973Z

unbounded-following clj

Params:

Result: Long

Value representing the last row in the partition, equivalent to "UNBOUNDED FOLLOWING" in SQL. This can be used to specify the frame boundaries:

2.1.0

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/expressions/Window$.html

Timestamp: 2020-10-19T01:56:25.054Z

unbounded-preceding clj

Params:

Result: Long

Value representing the first row in the partition, equivalent to "UNBOUNDED PRECEDING" in SQL. This can be used to specify the frame boundaries:

2.1.0

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/expressions/Window$.html

Timestamp: 2020-10-19T01:56:25.055Z

window clj

(window {:keys [partition-by order-by range-between rows-between]})

Utility functions for defining window in DataFrames.

Source: https://spark.apache.org/docs/3.0.1/api/scala/org/apache/spark/sql/expressions/Window$.html

Timestamp: 2020-10-19T01:55:47.755Z

windowed clj

(windowed options)

Shortcut to create WindowSpec that takes a map as the argument.

Expected keys: [:partition-by :order-by :range-between :rows-between]