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Learn Cql - 10 Code Examples & CST Typing Practice Test

Cassandra Query Language (CQL) is the native query language for Apache Cassandra, a highly scalable, distributed NoSQL database. CQL provides a SQL-like syntax for interacting with Cassandra's column-family data model, supporting data definition, manipulation, and retrieval.

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Basic CQL Queries MySQL Select Queries PostgreSQL Table and Insert MongoDB Basic Operations SQLite Create and Query Redis Commands Neo4j Cypher Queries Elasticsearch Query DSL InfluxDB Time-Series Queries Oracle PL/SQL Block

Learn CQL with Real Code Examples

Updated Nov 18, 2025

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Code Sample Descriptions

1

Basic CQL Queries

CREATE TABLE users (
    id UUID PRIMARY KEY,
    name TEXT,
    age INT
);

INSERT INTO users (id, name, age)
VALUES (uuid(), 'Alice', 30);

SELECT name, age FROM users
WHERE age > 25;

Examples of creating a table, inserting data, and querying in Cassandra using CQL.

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2

MySQL Select Queries

-- Select all rows
SELECT * FROM employees;

-- Select with condition
SELECT name, salary FROM employees WHERE salary > 50000;

-- Sort results
SELECT * FROM employees ORDER BY hire_date DESC;

Basic MySQL queries for selecting rows with filters and sorting.

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3

PostgreSQL Table and Insert

CREATE TABLE products (
    id SERIAL PRIMARY KEY,
    name TEXT NOT NULL,
    price NUMERIC
);

INSERT INTO products (name, price)
VALUES ('Laptop', 1200.50),
       ('Phone', 699.99);

SELECT * FROM products;

Creating a table and inserting rows in PostgreSQL.

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4

MongoDB Basic Operations

// Find all users
 db.users.find({})

// Find by condition
 db.users.find({ age: { $gte: 21 } })

// Aggregation: group by role
 db.users.aggregate([
    { $group: { _id: "$role", total: { $sum: 1 } } }
])

Examples of find, projection, and aggregation in MongoDB.

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5

SQLite Create and Query

CREATE TABLE books (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    title TEXT,
    author TEXT
);

INSERT INTO books (title, author)
VALUES ('1984', 'George Orwell');

SELECT * FROM books;

Creating a table, inserting values, and running queries in SQLite.

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6

Redis Commands

# Set and Get
SET session:1 "active"
GET session:1

# Hash example
HSET user:1 name "Alice" age "30"
HGETALL user:1

# List example
LPUSH queue task1 task2
LRANGE queue 0 -1

Common Redis commands for strings, hashes, and lists.

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7

Neo4j Cypher Queries

// Create nodes
CREATE (a:Person {name: "Alice"}), (b:Person {name: "Bob"});

// Create relationship
MATCH (a:Person {name: "Alice"}), (b:Person {name: "Bob"})
CREATE (a)-[:FRIEND]->(b);

// Query
MATCH (p:Person)-[:FRIEND]->(f)
RETURN p.name, f.name;

Creating nodes, relationships, and querying with Cypher in Neo4j.

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8

Elasticsearch Query DSL

{
    "query": {
        "match": {
        title: "database"
        }
    }
}

{
    "query": {
        "range": {
        "year": { "gte": 2020 }
        }
    }
}

Performing search queries using Elasticsearch Query DSL.

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9

InfluxDB Time-Series Queries

-- Insert temperature reading
INSERT temperature,location=room1 value=24.5

-- Query last hour
SELECT value FROM temperature WHERE time > now() - 1h;

-- Group by 5 minutes
SELECT MEAN(value) FROM temperature
WHERE time > now() - 1d GROUP BY time(5m);

Using InfluxQL for inserting and querying time-series data.

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10

Oracle PL/SQL Block

DECLARE
    v_name VARCHAR2(50) := 'Alice';
    v_age NUMBER := 30;
BEGIN
    DBMS_OUTPUT.PUT_LINE('Name: ' || v_name || ', Age: ' || v_age);
END;

Example of a PL/SQL block with variable declaration and output.

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Frequently Asked Questions about Cql

What is Cql?

Cassandra Query Language (CQL) is the native query language for Apache Cassandra, a highly scalable, distributed NoSQL database. CQL provides a SQL-like syntax for interacting with Cassandra's column-family data model, supporting data definition, manipulation, and retrieval.

What are the primary use cases for Cql?

High-volume data ingestion. Time-series and IoT data management. Real-time analytics and reporting. Distributed and fault-tolerant applications. Data warehousing for large-scale datasets. Session and user activity tracking

What are the strengths of Cql?

Horizontally scalable and fault-tolerant. High write throughput. Supports wide-column, time-series, and IoT data. Flexible SQL-like query language. Strong community and enterprise support via DataStax

What are the limitations of Cql?

Limited JOIN support (denormalization required). No full ACID transactions across multiple partitions. Secondary indexes can be inefficient on large datasets. Aggregation capabilities are basic compared to relational DBs

How can I practice Cql typing speed?

CodeSpeedTest offers 10+ real Cql code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.

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