How to Filter Null Value In Oracle Sql?

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To filter null values in Oracle SQL, you can use the IS NULL operator in your query. This operator allows you to check if a column has a null value. For example, to filter out records where the column "column_name" contains a null value, you can use the following query:


SELECT * FROM table_name WHERE column_name IS NULL;


This query will retrieve all records from the table where the "column_name" column contains a null value. You can also use the IS NOT NULL operator to filter out records where a column does not have a null value.

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How to filter only null values in Oracle SQL?

To filter only null values in Oracle SQL, you can use the IS NULL condition in the WHERE clause of your query. Here is an example:


SELECT column_name FROM table_name WHERE column_name IS NULL;


In this query, replace "column_name" with the name of the column you want to filter for null values and "table_name" with the name of the table where the column is located. This query will return only the rows where the specified column has a null value.


How to filter null values in Oracle SQL with subqueries?

To filter out null values in Oracle SQL with subqueries, you can use the IS NOT NULL condition in your WHERE clause. Here's an example:

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SELECT column1, column2
FROM table_name
WHERE column1 IS NOT NULL;


In this example, replace column1, column2, and table_name with your actual column names and table name. The IS NOT NULL condition will filter out any rows where column1 has a null value.


You can also use subqueries to filter out null values. Here's an example:

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SELECT column1, column2
FROM table_name
WHERE column1 IN (SELECT column1 FROM table_name WHERE column1 IS NOT NULL);


In this example, the subquery is used to retrieve all non-null values of column1, and the main query only returns rows where column1 is in that list of non-null values.


Using subqueries in this way can be useful for more complex filtering conditions involving null values in Oracle SQL.


How to filter null values in Oracle SQL using NVL function?

You can filter out null values in Oracle SQL using the NVL function in the WHERE clause of your query. Here is an example:

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SELECT column1, column2
FROM your_table
WHERE NVL(column1, 'N/A') IS NOT NULL;


In this example, the NVL function is used to replace null values in column1 with 'N/A'. The IS NOT NULL condition is then used to filter out any rows where column1 is null. You can adjust the replacement value as needed based on your requirements.


How to filter null values in Oracle SQL with order by?

To filter out null values in Oracle SQL with order by, you can use the COALESCE function in combination with the order by clause. Here's an example:

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SELECT column1, column2
FROM table_name
WHERE column1 IS NOT NULL
ORDER BY COALESCE(column1, column2);


In this example, we are selecting column1 and column2 from the table_name where column1 is not null. We then use the COALESCE function in the order by clause to order the results by column1 if it is not null, otherwise by column2. This way, we can filter out null values and order the results accordingly.


What is the performance impact of filtering null values in Oracle SQL?

Filtering null values in Oracle SQL can have a performance impact, depending on how the query is structured and the amount of data being processed.


When filtering null values, Oracle has to perform additional checks to determine which rows meet the filtering criteria. This extra step can slow down the query, especially if the table being queried is large and contains many null values.


To mitigate this performance impact, it is recommended to use proper indexing on columns that are frequently filtered for null values. This can help Oracle optimize the query execution plan and speed up the filtering process. Additionally, consider using IS NULL or IS NOT NULL operators rather than comparison operators like = or != when filtering null values, as they are more efficient in handling null values.


Overall, filtering null values in Oracle SQL can impact performance, but with proper indexing and query optimization techniques, the impact can be minimized.

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