Curriculum
Reading data from a Cassandra cluster involves querying the data using the Cassandra Query Language (CQL). CQL is similar to SQL, but with some differences due to the distributed nature of Cassandra. In this tutorial, we’ll cover the basic syntax for reading data in Cassandra, including selecting specific columns, filtering data, and ordering results.
Syntax for Reading Data
The basic syntax for reading data from a Cassandra table is as follows:
SELECT column1, column2, ... FROM table_name WHERE condition;
Here, column1
, column2
, etc. represent the columns you want to retrieve from the table. table_name
is the name of the table you want to read from. WHERE
is an optional clause that allows you to filter the results based on certain conditions.
Examples
Let’s look at some examples of how to read data from a table in Cassandra.
To retrieve all columns from a table, use the following syntax:
SELECT * FROM my_table;
This will return all rows and columns from the my_table
table.
To retrieve specific columns from a table, list them after the SELECT
keyword, separated by commas. For example:
SELECT first_name, last_name, email FROM users;
This will retrieve only the first_name
, last_name
, and email
columns from the users
table.
You can use the WHERE
clause to filter the results based on certain conditions. For example:
SELECT * FROM users WHERE age >= 18;
This will retrieve all rows from the users
table where the age
column is greater than or equal to 18.
You can use the ORDER BY
clause to sort the results in ascending or descending order. For example:
SELECT * FROM users ORDER BY last_name ASC;
This will retrieve all rows from the users
table and order them by last_name
in ascending order.
Reading data in Cassandra involves using CQL to query the database. You can retrieve all columns or specific columns, filter the results based on conditions, and order the results as needed. By using the syntax and examples provided in this tutorial, you should be able to retrieve data from your Cassandra cluster efficiently and effectively.