![]() ![]() This is pretty straightforward when looking at it from the outside but there is some caching magic Elasticsearch is doing under the hood of this. The size field is used to limit the result set Elasticsearch gives back and the sort field says we want to sort in descending order. It knows the set of following user ids for user 123 because we have specifically told it to route through the friendships index and use the following field for the set of following user ids. We are asking our messages index to give us a filtered set of messages in which the user_id field must be equal to any ids that user 123 is following, similar to an IN query in SQL. Let’s take a deeper look at how this query works. All we have to do is query the messages index with a get request to the url with the JSON query attached: His user_id is 123 and he is requesting his stream of messages from the users he follows. This is pretty straight forward, but how do you query these indexes to get a stream of messages that a single user is following? Each friendship document is better suited by using the user_id value from our database as the _id value for the document. Since each document in Elasticsearch has an _id value, we can assign each message document the id value we have in our MySQL database for easier reference in the future. User_id: id of the user who shared the messageįollowing: Array of user ids of which the user is following One called “messages,” which has a body and user_id field on it, and another called “friendships,” which has a following field that is an array of user id’s that a particular user is following. We were recently forced to rethink how our entire system was architected and realized that it is a perfect use case to implement Elasticsearch. As we added more streams, the complexity snowballed: more code, more maintenance, more points of failure. This worked in the beginning, but was no longer scalable as our user base continued to grow. If you have 100,000 followers, that means every time you post a message, that message would have to get inserted in 100,000 individual sets in Redis so your followers can see your posts. Imagine you are a user and every stream you want to look at is an individual set in Redis. The initial architecture for this use case involved heavy database queries on MySQL and a lot of complex caching with Redis. This needs to be done quickly and at scale, regardless of how much our traffic grows. We also need the ability to query for posts from users that a specific user is following. More specifically, we need the ability to query our collection of posts and get only posts that have a “cashtag” mentioned in them ($AAPL, $GOOG, etc). One of our primary features is the ability to view chronological streams of message posts based on specific filters. StockTwits is the largest social network dedicated to the finance community, with 1.5 million monthly active visitors. Regulus: Lead Developer, Animator, Pixel Artist, Composer.Ĭurrently the game is supported by both solo mouse and/or solo keyboard play (Or both if you so want.In this article, I want to share with you how at StockTwits we overhauled our message sharing system that took us from frequent downtime and general slowness to lightning fast requests and very happy users – all while allowing us to continue to scale in the future as traffic increases. Thanks for checking us out everyone! I hope you enjoy! Every month will bring a new build featuring their own character! You can use a save code to transfer your data to all future builds as they come out! These can all be used in a shop to unlock various Quest items, or Pin-ups for your viewing pleasure. Mastering a song will reward you with tokens. It's up to you.Ĭompleting songs will reward you with Reputation. You can keep things simple, or stack modifiers together and create some very challenging results. You can choose modifiers that support you, or choose modifiers that are challenging, but offer greater rewards. Create your own playstyle by selecting various "modifiers" to shape how you play. SpunkStock involves a simple, yet diverse system as it's core gameplay. It brings a Gauntlet mode, a few more features, and some more pin ups! It features a few additional side animated Hscenes (in a similar manner to the home tent animations) The full version features 3 co-headliner songs (with unique boss mechanics.), 1 more openner song/character, and the final boss. Explore backstage, "meet" all kinds of artists, and gain the reputation to reach the top! Welcome to SpunkStock: Music Festival! This is an 18+ Adventure Rhythm Game. ![]()
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