User Timeline's & Data Replication in Cassandra
I am currently creating the backend for an instagram clone and using Cassandra as the database (first time NoSQL). I have tried to denormalize my data - but it just doesn't feel right. The replication level is N (where N is the number of followers / subscribers).
I am aware of how the primary key is composed of two parts (partition key & clustering columns) and tried to model accordingly.
CREATE TABLE IF NOT EXISTS instagram.user_post (
user_id uuid,
post_id timeuuid,
tag text,
caption text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_comment (
user_id uuid,
post_id timeuuid,
comment text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_timeline (
user_id uuid,
post_id timeuuid,
caption text,
month text,
PRIMARY KEY ((user_id, month) post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
If "Joe" makes a post and has 400 followers, my code would create 400 instagram.user_post_timeline entries....one for each user. I keep on reading data duplication is ok - but this just seems extreme. Is there a better way to do this? (I am aware twitter keeps ZIPLISTS in redis for each user ...but thats just a cache).
Thanks
cassandra
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I am currently creating the backend for an instagram clone and using Cassandra as the database (first time NoSQL). I have tried to denormalize my data - but it just doesn't feel right. The replication level is N (where N is the number of followers / subscribers).
I am aware of how the primary key is composed of two parts (partition key & clustering columns) and tried to model accordingly.
CREATE TABLE IF NOT EXISTS instagram.user_post (
user_id uuid,
post_id timeuuid,
tag text,
caption text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_comment (
user_id uuid,
post_id timeuuid,
comment text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_timeline (
user_id uuid,
post_id timeuuid,
caption text,
month text,
PRIMARY KEY ((user_id, month) post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
If "Joe" makes a post and has 400 followers, my code would create 400 instagram.user_post_timeline entries....one for each user. I keep on reading data duplication is ok - but this just seems extreme. Is there a better way to do this? (I am aware twitter keeps ZIPLISTS in redis for each user ...but thats just a cache).
Thanks
cassandra
add a comment |
I am currently creating the backend for an instagram clone and using Cassandra as the database (first time NoSQL). I have tried to denormalize my data - but it just doesn't feel right. The replication level is N (where N is the number of followers / subscribers).
I am aware of how the primary key is composed of two parts (partition key & clustering columns) and tried to model accordingly.
CREATE TABLE IF NOT EXISTS instagram.user_post (
user_id uuid,
post_id timeuuid,
tag text,
caption text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_comment (
user_id uuid,
post_id timeuuid,
comment text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_timeline (
user_id uuid,
post_id timeuuid,
caption text,
month text,
PRIMARY KEY ((user_id, month) post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
If "Joe" makes a post and has 400 followers, my code would create 400 instagram.user_post_timeline entries....one for each user. I keep on reading data duplication is ok - but this just seems extreme. Is there a better way to do this? (I am aware twitter keeps ZIPLISTS in redis for each user ...but thats just a cache).
Thanks
cassandra
I am currently creating the backend for an instagram clone and using Cassandra as the database (first time NoSQL). I have tried to denormalize my data - but it just doesn't feel right. The replication level is N (where N is the number of followers / subscribers).
I am aware of how the primary key is composed of two parts (partition key & clustering columns) and tried to model accordingly.
CREATE TABLE IF NOT EXISTS instagram.user_post (
user_id uuid,
post_id timeuuid,
tag text,
caption text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_comment (
user_id uuid,
post_id timeuuid,
comment text,
PRIMARY KEY (user_id, post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
CREATE TABLE IF NOT EXISTS instagram.user_post_timeline (
user_id uuid,
post_id timeuuid,
caption text,
month text,
PRIMARY KEY ((user_id, month) post_id)
) WITH CLUSTERING ORDER BY (post_id DESC);
If "Joe" makes a post and has 400 followers, my code would create 400 instagram.user_post_timeline entries....one for each user. I keep on reading data duplication is ok - but this just seems extreme. Is there a better way to do this? (I am aware twitter keeps ZIPLISTS in redis for each user ...but thats just a cache).
Thanks
cassandra
cassandra
asked Nov 14 '18 at 22:15
NateNate
134
134
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