Your database tables can contain a lot of data. Learn how to use the WHERE clause in your SQL query to only return specific rows from your table.
- [Instructor] So in our previous video we saw how we can…only select specific columns from our table.…But what happens when we want our query to only return…specific rows from our table?…That can be accomplished by adding a where clause…to our sequel query.…So taking the query which I've executed in my previous…video and simply adding a where followed by a condition.…For example, where salary greater than and let's say 10,000.…
So with this query I'm telling Oracle return the first…name, last name and salary columns and only for employees…where the salary is greater than 10,000.…So Oracle will filter the result and return a much smaller…subset of the data.…As you can see the previous query we executed returned…107 total rows because we did not filter it yet.…
You can scroll all the way down to your query result…and see that the last row is row number 107.…So we have a total of 107 rows in our employee's table.…Now if I run my new query…which filters via the salary column…I expect to get a much smaller result set.…
Note: This training course is appropriate for beginning database developers with no prior experience with SQL or Oracle.
- Using Oracle SQL*Developer, the free development environment
- Selecting data from tables
- Filtering data
- Using functions to manipulate data
- Joining data from tables
- Creating tables
- Updating values
- Truncating data
- Grouping and ordering result sets
- Working with primary keys
- Checking constraints
Skill Level Beginner
Oracle 12c Database: Administrationwith David Yahalom3h 58m Beginner
Database Foundations: Core Conceptswith Adam Wilbert2h 14m Beginner
Database Foundations: Administrationwith Adam Wilbert1h 14m Beginner
1. Introduction to SQL
2. Preparing the Course Environment
Downloading the course VM2m 16s
3. Using Oracle SQL Developer
4. Basic SELECT Queries
5. String, Number, and Date Functions
6. Joining Table Data
7. Manipulating Data
8. Grouping Data
9. Advanced Topics
Next steps1m 33s
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