Apache Cassandra Quickstart
Interested in getting started with Cassandra? Follow these instructions.
STEP 1: GET CASSANDRA USING DOCKER
You’ll need to have Docker Desktop for Mac, Docker Desktop for Windows, or similar software installed on your computer.
docker pull cassandra:latest
Apache Cassandra is also available as a tarball or package download.
STEP 2: START CASSANDRA
docker run --name cassandra cassandra
STEP 3: CREATE FILES
In the directory where you plan to run the next step, create these two files so that some data can be automatically inserted in the next step.
A cqlshrc file will log into the Cassandra database with the default superuser:
[authentication]
username = cassandra
password = cassandra
Create a scripts directory and change to that directory. The following data.cql file will create a keyspace, the layer at which Cassandra replicates its data, a table to hold the data, and insert some data:
# Create a keyspace
CREATE KEYSPACE IF NOT EXISTS store WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : '1' };
# Create a table
CREATE TABLE IF NOT EXISTS store.shopping_cart (
userid text PRIMARY KEY,
item_count int,
last_update_timestamp timestamp
);
# Insert some data
INSERT INTO store.shopping_cart
(userid, item_count, last_update_timestamp)
VALUES ('9876', 2, toTimeStamp(toDate(now))));
INSERT INTO store.shopping_cart
(userid, item_count, last_update_timestamp)
VALUES (1234, 5, toTimeStamp(toDate(now))));
You should now have a cqlshrc file and <currentdir>/scripts/data.cql file.
STEP 4: RUN CQLSH TO INTERACT
Cassandra is a distributed database that can read and write data across multiple
nodes with peer-to-peer replication. The Cassandra Query Language (CQL) is
similar to SQL but suited for the JOINless structure of Cassandra. The CQL
shell, or cqlsh
, is one tool to use in interacting with the database.
docker run --rm -it -v /<currentdir>/scripts:/scripts \
-v /<currentdir/cqlshrc:/.cassandra/cqlshrc \
--env CQLSH_HOST=host.docker.internal --env CQLSH_PORT=9042 nuvo/docker-cqlsh
For this quickstart, this cqlsh docker image also loads some data automatically, so you can start running queries.
STEP 5: READ SOME DATA
SELECT * FROM store.shopping_cart;
STEP 6: WRITE SOME MORE DATA
INSERT (userid, item_count) VALUES (4567, 20) INTO store.shopping_cart;
STEP 7: TERMINATE CASSANDRA
docker rm cassandra
CONGRATULATIONS!
Hey, that wasn’t so hard, was it?
To learn more, we suggest the following next steps:
-
Read through the need link[Overview] to learn main concepts and how Cassandra works at a high level.
-
To understand Cassandra in more detail, head over to the Docs.
-
Browse through the Case Studies to learn how other users in our worldwide community are getting value out of Cassandra.