cosmos-db
  1. cosmos-db-cassandra

Cassandra - ( CosmosDB APIs )

Syntax

CREATE KEYSPACE <keyspace_name> WITH REPLICATION = {'class': 'SimpleStrategy', 'replication_factor': <num_replicas>} ;
CREATE TABLE <table_name> (
  <column_name> <data_type> PRIMARY KEY,
  <column_name> <data_type>,
  <column_name> <data_type>,
  ...
) WITH <option_name> = <option_value> AND <option_name> = <option_value> ;
INSERT INTO <table_name> 
  (<column_name>, <column_name>, ...) 
  VALUES 
  (<value>, <value>, ...);

Example

CREATE KEYSPACE my_keyspace WITH REPLICATION = {'class': 'SimpleStrategy', 'replication_factor': 3};

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

INSERT INTO my_table (id, name, age) VALUES (1, 'John', 30);

Output

(keyspace and table created)
(id, name, age row inserted in the table)

Explanation

Cassandra is a NoSQL database that is highly scalable and distributed. It has a masterless architecture and uses a peer-to-peer distribution model. Each node in Cassandra acts as both a coordinator and a data store. Cassandra uses column-family data model and is based on the CQL (Cassandra Query Language).

The syntax for creating a keyspace in Cassandra is CREATE KEYSPACE <keyspace_name> WITH REPLICATION = {'class': 'SimpleStrategy', 'replication_factor': <num_replicas>}. The replication_factor parameter determines the number of replicas for each data key.

The syntax for creating a table in Cassandra is CREATE TABLE <table_name> (<column_name> <data_type> PRIMARY KEY, <column_name> <data_type>, ...) WITH <option_name> = <option_value> AND <option_name> = <option_value> ;. The primary key column(s) determines the partition key(s) and the clustering column(s).

The syntax for inserting data into a table in Cassandra is INSERT INTO <table_name> (<column_name>, <column_name>, ...) VALUES (<value>, <value>, ...);.

Use

Cassandra is used for big data and high-velocity use cases where data needs to be written and read in real-time, without delay. It can handle large amounts of data with high write and read throughput.

Important Points

  • Cassandra is a highly scalable and distributed NoSQL database
  • It uses a masterless architecture and peer-to-peer distribution model
  • Cassandra uses CQL (Cassandra Query Language)
  • It is designed for big data and high-velocity use cases.

Summary

Cassandra is a highly scalable and distributed NoSQL database that uses a masterless architecture and peer-to-peer distribution model. It uses CQL and is designed for big data and high-velocity use cases. It can handle large amounts of data with high write and read throughput.

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