[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"academy-blogs-en-1-1-all-websocket-large-data-transfer-all--*":3,"academy-blog-translations-dexn9bg9teychy4":84},{"data":4,"page":72,"perPage":72,"totalItems":72,"totalPages":72},[5],{"alt":6,"collectionId":7,"collectionName":8,"content":9,"cover_image":10,"cover_image_path":11,"created":12,"created_by":13,"expand":14,"id":78,"keywords":79,"locale":54,"publish_at":80,"scheduled_at":13,"school_blog":76,"short_description":81,"slug":82,"status":74,"title":6,"updated":83,"updated_by":13,"views":77},"EP.76 Handling Large Data Transfers in WebSocket","sclblg987654321","school_blog_translations","\u003Cp>In this episode, we'll explore how to send large data over WebSocket efficiently using techniques like:\u003C\u002Fp>\u003Cul>\u003Cli>Chunking: splitting large data into smaller parts\u003C\u002Fli>\u003Cli>Compression: reducing data size before transmission\u003C\u002Fli>\u003Cli>Binary Data: using binary format instead of text\u003C\u002Fli>\u003C\u002Ful>\u003Cp>These techniques help improve the performance and reliability of WebSocket-based systems such as real-time chat applications, file transfer systems, and media streaming platforms.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>🔸 Why Use WebSocket for Large Data Transfers?\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp>1. Real-time Data Streaming:\u003Cbr>WebSocket maintains a persistent connection between the server and client, making it ideal for real-time communication without reconnecting for every message.\u003C\u002Fp>\u003Cp>2. Handles Large Payloads Gracefully:\u003Cbr>With proper chunking and compression, WebSocket can reliably transmit large files or datasets.\u003C\u002Fp>\u003Cp>3. Bandwidth Efficiency:\u003Cbr>Compression significantly reduces the size of transferred data, optimizing network usage.\u003C\u002Fp>\u003Cp>4. Full-Duplex Communication:\u003Cbr>WebSocket supports simultaneous two-way communication, which is essential for interactive or collaborative applications.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>🔸 Techniques for Sending Large Data via WebSocket\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch3>✅ 1. Chunking (Splitting Large Data)\u003C\u002Fh3>\u003Cp>Chunking involves breaking up large data into smaller parts (chunks) before sending, which avoids overwhelming the WebSocket connection and ensures better control over transmission.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch4>🔧 Sample Go Function for Chunking:\u003C\u002Fh4>\u003Cpre>\u003Ccode class=\"language-plaintext language-go\">func chunkData(data []byte, chunkSize int) [][]byte {\n    var chunks [][]byte\n    for i := 0; i &lt; len(data); i += chunkSize {\n        end := i + chunkSize\n        if end &gt; len(data) {\n            end = len(data)\n        }\n        chunks = append(chunks, data[i:end])\n    }\n    return chunks\n}\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Each chunk can then be sent individually through the WebSocket connection.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch3>✅ 2. Compression (Reducing Data Size)\u003C\u002Fh3>\u003Cp>Before sending, compressing data can reduce the load on the network and improve the speed of delivery.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch4>🔧 Enabling WebSocket Compression in Go:\u003C\u002Fh4>\u003Cpre>\u003Ccode class=\"language-plaintext language-go\">conn.EnableWriteCompression = true\nconn.EnableReadCompression = true\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Most WebSocket libraries support per-message compression if both server and client agree.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch3>✅ 3. Binary Data Transfer\u003C\u002Fh3>\u003Cp>Instead of using plain text or JSON, transferring data in binary format (e.g., files, media, or encoded blobs) is more efficient and compact.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch4>🔧 Sending Binary Data in Go:\u003C\u002Fh4>\u003Cpre>\u003Ccode class=\"language-plaintext language-go\">conn.WriteMessage(websocket.BinaryMessage, binaryData)\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>This method is suitable for streaming files, images, or video data in real-time.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>🔸 Example WebSocket Server Handling Chunking\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-plaintext language-go\">package main\n\nimport (\n    \"log\"\n    \"net\u002Fhttp\"\n    \"github.com\u002Fgorilla\u002Fwebsocket\"\n)\n\nvar clients = make(map[*websocket.Conn]bool)\nvar broadcast = make(chan []byte)\n\nvar upgrader = websocket.Upgrader{\n    CheckOrigin: func(r *http.Request) bool {\n        return true\n    },\n}\n\nfunc handleConnections(w http.ResponseWriter, r *http.Request) {\n    conn, err := upgrader.Upgrade(w, r, nil)\n    if err != nil {\n        log.Println(err)\n        return\n    }\n    defer conn.Close()\n\n    clients[conn] = true\n\n    for {\n        _, msg, err := conn.ReadMessage()\n        if err != nil {\n            log.Println(err)\n            delete(clients, conn)\n            break\n        }\n\n        chunks := chunkData(msg, 1024)\n        for _, chunk := range chunks {\n            broadcast &lt;- chunk\n        }\n    }\n}\n\nfunc chunkData(data []byte, chunkSize int) [][]byte {\n    var chunks [][]byte\n    for i := 0; i &lt; len(data); i += chunkSize {\n        end := i + chunkSize\n        if end &gt; len(data) {\n            end = len(data)\n        }\n        chunks = append(chunks, data[i:end])\n    }\n    return chunks\n}\n\nfunc handleMessages() {\n    for {\n        msg := &lt;-broadcast\n        for client := range clients {\n            err := client.WriteMessage(websocket.TextMessage, msg)\n            if err != nil {\n                log.Println(err)\n                client.Close()\n                delete(clients, client)\n            }\n        }\n    }\n}\n\nfunc main() {\n    http.HandleFunc(\"\u002F\", handleConnections)\n    go handleMessages()\n    log.Println(\"Server started on :8080\")\n    log.Fatal(http.ListenAndServe(\":8080\", nil))\n}\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>🔸 Testing Large Data Transfers\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp>Make sure to validate the following after implementing chunking and compression:\u003C\u002Fp>\u003Cp>✅ Data is properly chunked:\u003Cbr>Confirm that large payloads are split and sent successfully.\u003C\u002Fp>\u003Cp>✅ Compression works effectively:\u003Cbr>Check whether message size is reduced and transmission is faster.\u003C\u002Fp>\u003Cp>✅ Stability with multiple clients:\u003Cbr>Simulate multiple clients receiving large data simultaneously to evaluate system performance.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Chr>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>💡 Challenge for You!\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp>Try building a file upload or video streaming system using WebSocket with chunking and compression. Measure the performance and optimize the size and delivery time!\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>🔜 Coming Next in EP.77\u003C\u002Fh2>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp>Building an Instant Notification System with WebSocket\u003Cbr>Learn how to implement a real-time notification system that alerts users instantly when important events happen in a chat room or collaborative app.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp data-start=\"498\" data-end=\"834\">\u003Cstrong>Read more\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp data-start=\"498\" data-end=\"834\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.superdev.school\u002Fblogs\u002Fcategories\u002FGolang\">\u003Cstrong>Golang The Series\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp data-start=\"498\" data-end=\"834\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.superdev.school\u002Fblogs\u002Fcategories\u002FJS2GO\">\u003Cstrong>JS2GO\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp data-start=\"498\" data-end=\"834\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.superdev.school\u002Fen\u002Fblogs\u002Fcategories\u002FTailwind%20CSS\">\u003Cstrong>10 Eps That Will Make You a Pro Tailwind CSS Overnight\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>🔵 Facebook: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.facebook.com\u002Fsuperdev.school.th\">\u003Cstrong>Superdev School &nbsp;(Superdev)\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cstrong>📸 Instagram: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.instagram.com\u002Fsuperdevschool\u002F\">\u003Cstrong>superdevschool\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cstrong>🎬 TikTok: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.tiktok.com\u002F@superdevschool\">\u003Cstrong>superdevschool\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"\" data-start=\"5978\" data-end=\"6095\">\u003Cstrong>🌐 Website: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.superdev.school\u002F\">\u003Cstrong>www.superdev.school\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>","124_11zon_s35ncqh7nk.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002Fi7znffdimqdo31v\u002F124_11zon_s35ncqh7nk.webp","2026-03-04 08:47:12.552Z","",{"keywords":15,"locale":48,"school_blog":58},[16,23,28,33,38,43],{"collectionId":17,"collectionName":18,"created":19,"created_by":13,"id":20,"name":21,"updated":22,"updated_by":13},"sclkey987654321","school_keywords","2026-03-04 08:47:10.798Z","mu7d30ixs5imzak","Large Data","2026-04-10 16:13:24.725Z",{"collectionId":17,"collectionName":18,"created":24,"created_by":13,"id":25,"name":26,"updated":27,"updated_by":13},"2026-03-04 08:44:23.473Z","z6zahdl1nko078y","Data Streaming","2026-04-10 16:12:44.470Z",{"collectionId":17,"collectionName":18,"created":29,"created_by":13,"id":30,"name":31,"updated":32,"updated_by":13},"2026-03-04 08:20:11.547Z","ey3puyme01a9bsw","Go","2026-04-10 16:07:25.893Z",{"collectionId":17,"collectionName":18,"created":34,"created_by":13,"id":35,"name":36,"updated":37,"updated_by":13},"2026-03-04 08:46:12.615Z","ex0f61ubqeln8vw","Real-Time Communication","2026-04-10 16:13:10.105Z",{"collectionId":17,"collectionName":18,"created":39,"created_by":13,"id":40,"name":41,"updated":42,"updated_by":13},"2026-03-04 08:47:11.464Z","hhr4sn231xomudr","Binary Data","2026-04-10 16:13:25.012Z",{"collectionId":17,"collectionName":18,"created":44,"created_by":13,"id":45,"name":46,"updated":47,"updated_by":13},"2026-03-04 08:34:00.920Z","ecac9y661or1xka","WebSocket","2026-04-10 16:08:05.227Z",{"code":49,"collectionId":50,"collectionName":51,"created":52,"flag":53,"id":54,"is_default":55,"label":56,"updated":57},"en","pbc_1989393366","locales","2026-01-22 11:00:02.726Z","twemoji:flag-united-states","qv9c1llfov2d88z",false,"English","2026-04-10 15:42:46.825Z",{"category":59,"collectionId":60,"collectionName":61,"expand":62,"id":76,"views":77},"wqxt7ag2gn7xcmk","pbc_2105096300","school_blogs",{"category":63},{"blogIds":64,"collectionId":65,"collectionName":66,"created":67,"created_by":13,"id":59,"image":68,"image_alt":13,"image_path":69,"label":70,"name":71,"priority":72,"publish_at":73,"scheduled_at":13,"status":74,"updated":75,"updated_by":13},[],"sclcatblg987654321","school_category_blogs","2026-03-04 08:33:53.210Z","59ty92ns80w_15oc1implw.png","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclcatblg987654321\u002Fwqxt7ag2gn7xcmk\u002F59ty92ns80w_15oc1implw.png",{"en":71,"th":71},"Golang The Series",1,"2026-03-16 04:39:38.440Z","published","2026-04-10 16:08:24.679Z","dexn9bg9teychy4",337,"i7znffdimqdo31v",[20,25,30,35,40,45],"2025-08-15 02:43:24.067Z","Explore techniques for efficiently sending large data over WebSocket using chunking, compression, and binary data — optimized for real-time applications that handle high data volume.","websocket-large-data-transfer","2026-04-12 18:17:33.853Z",{"en":82}]