Hi, Does anyone have an idea about the pros/cons with modeling your data in the following way. First is you write all your data within a single CF. Using the infamous blog example,
Posts = { // CF slug-1: { // key to the row inside CF title: "...", body: "...", tag1: "...", tag2: "...", ... tagN: "...", comment1: "...", comment2: "...", commentN: "..." }, slug-2: { title: "...", body: "...", tag1: "...", tag2: "...", ... tagN: "...", comment1: "...", comment2: "...", commentN: "..." } } Using this model, one has to do slice queries to retrieve tags, comments for a given blog post but all tag, comment info for a particular post is available with a single read. The other method, breaking down tags and comments into their own CFs. Posts = { // CF slug-1: { // key to the row inside CF title: "...", body: "..." }, slug-2: { title: "...", body: "..." } } Tags = { // CF tag1: { // key to the row inside CF timestamp1: slug-1, timestamp2: slug-2 }, tag2: { timestamp1: slug-2 } } Comments = { // CF slug-1: { // key to the row inside CF timestamp1: "comment1 ...", timestamp2: "comment2 ...", timestamp3: "comment3 ..." }, slug-2: { timestamp1: "comment1 ..." } } Here, you have to do a couple of queries when you're trying to get tags and comments for a particular post. Does the answer is, it depends or is there an inherent inefficiency associated with method 1 regardless of the data you're trying to model? Thanks in advance, -Chintana -- blog: engwar.com/ photos: flickr.com/photos/chintana linkedin: linkedin.com/in/engwar facebook: facebook.com/chintana twitter: twitter.com/std_err