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docs/sql-ref-syntax-qry-window.md

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### Description
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Window functions operate on a group of rows, referred to as a window, and calculate a return value for each row based on the group of rows. Window functions are useful for processing tasks such as calculating a moving average, computing a cumulative statistic, or accessing the value of rows given the relative position of the current row.
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Spark SQL supports three types of window functions:
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* Ranking Functions
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* Analytic Functions
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* Aggregate Functions
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### Syntax
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### Examples
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{% highlight sql %}
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CREATE TABLE employees (name STRING, dept STRING, salary INT, age INT);
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INSERT INTO employees VALUES ("Lisa", "Sales", 10000, 35);

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