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sql server equivalent of a countif aggregate function

sql server equivalent of a countif aggregate function

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Titlesql server equivalent of a countif aggregate function
AuthorCodeGen
Duration1:24
File FormatMP3 / MP4
Original URL https://youtube.com/watch?v=44d1cmq92IE

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## SQL Server's Equivalent of COUNTIF: Counting with Conditions in Aggregations

SQL Server doesn't have a direct `COUNTIF` function like Excel or Google Sheets. However, you can easily achieve the same functionality using a combination of aggregate functions (like `COUNT`) and the `CASE` statement. This technique allows you to count rows that meet specific conditions within a group, similar to how `COUNTIF` works.

**Understanding the Core Concept**

The core idea is to use the `CASE` statement to evaluate a condition for each row in your dataset. The `CASE` statement returns a value based on whether the condition is true or false. We then leverage the `COUNT` function, which counts non-NULL values. By having the `CASE` statement return `1` (or any non-NULL value) when the condition is met and `NULL` when the condition is not met, the `COUNT` function effectively counts only the rows that satisfy your condition.

**Syntax and Explanation**

The general syntax for implementing a `COUNTIF`-like functionality in SQL Server is as follows:



Let's break down each part:

* **`SELECT`**: This clause specifies the columns you want to retrieve in your result set.
* **`Grouping_Column_1, Grouping_Column_2, ...`**: These are the columns by which you want to group your data. If you don't need grouping (you want to count based on a condition across the whole table), you can skip the `GROUP BY` clause and the grouping columns in the `SELECT`.
* **`COUNT(CASE WHEN Condition THEN 1 ELSE NULL END)`**: This is the key part.
* **`COUNT()`**: The aggregate function that counts non-NULL values.
* **`CASE WHEN Condition THEN 1 ELSE NULL END`**: The `CASE` statement evaluates the `Condition` for each row.
* **`WHEN Condition THEN 1`**: If the `Condition` is true for a row, the `CASE` statement returns `1`. You can use any non-NULL value here (e.g., `'X'`, `0`, etc.). The important thing is that it's not `NULL`.
* **`ELSE NULL`**: If the `Conditi ...

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