Use socket.io to display realtime data

Use socket.io to display realtime data

By : lalitha uppaluri
Date : November 21 2020, 11:01 PM
Any of those help This answer assumes you are using eventlet or gevent, which implement cooperative multitasking.
The emit() call works asynchronously, which means that under eventlet or gevent you need to release the CPU if you want it to be processed immediately by the appropriate background threads.
code :

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Show realtime data to users with node.js and socket.io

Show realtime data to users with node.js and socket.io

By : user3007614
Date : March 29 2020, 07:55 AM
Does that help Node works well with NoSQL, (especially JSON based NoSQL) but since their are modules for handling most databases in node that are async and return javascript objects I wouldn't dismiss using MySQL if you're more comfortable using it.
here's an database agnostic outline.
code :
var fs = require('fs');  //to watch the FTP
var db = require('db');  //your choice of db
var express = require('express'); //http server
var io = require('socket.io'); //for realtime data push
var app = express.createServer(); //create http server
/*...usual express implementation...*/
var socket = io.listen(app); 
db.connect( ..., start );
function checkForFiles () {
  fs.readdir( FTPpath, sendFilesToDB );
function sendFilesToDB ( err, files ) {
  if( files.length === 0 ) {
    return checkForFiles();
  db.insert( fileToQuery( files.pop() ), function () {
    sendFilesToDB( err, files );
function fileToQuery ( file ) {
  return query;
function start () {
  setTimeout( checkData, 1000 );
function checkData () {
  db.query( '....', function ( err, data ) {
    socket.broadcast( processData( data ) );
    setTimeout( checkData, 1000 );
function processData (data) {
  return data;
How to render the React component with dynamic data realtime from socket.io high efficiency

How to render the React component with dynamic data realtime from socket.io high efficiency

By : Mehdi Mujtaba
Date : March 29 2020, 07:55 AM
it fixes the issue Is there any need to render all the data on screen? If not then there are a few ways to deal with cutting down the amount of visible data.
Filter / Search
code :
  <Search />
  <Filter />
     .map(function(item, index) {
       return <ListResultItem key={index} result={item} />;
var Lazy = React.createClass({
  getInitialState: function() {
    return { loaded: false };
  load: function() {
    this.setState({ loaded: true });
  render: function() {
    var loaded = this.state.loaded,
        component = this.props.children,
        lazyContainer = <div onMouseEnter={this.load} />;

    return loaded ?
  <ListResultItem key={index} result={item} />
var Paginate = React.createClass({
  getDefaultProps: function() {
    return { items: [], perPage: 100 }; 
  getInitialState: function() {
    return { page: 0 };
  next: function() {
    this.setState({ page: this.state.page + 1});
  prev: function() {
    this.setState({ page: this.state.page - 1});
  render: function() {
    var perPage = this.props.perPage,
        currentPage = this.state.page,
        itemCount = this.props.items.length;

    var start = currentPage * perPage,
        end = Math.min(itemCount, start + perPage);

    var selectedItems = this.props.items.slice(start, end);

    return (
      <div className='pagination'>
        {selectedItems.map(function(item, index) {
          <ListResultItem key={index} result={item} />
        <a onClick={this.prev}>Previous {{this.state.perPage}} items</a>
        <a onClick={this.next}>Next {{this.state.perPage}} items</a>
Drawing a d3 realtime line chart inside socket.on (socket io)

Drawing a d3 realtime line chart inside socket.on (socket io)

By : Chao
Date : March 29 2020, 07:55 AM
wish helps you Completely untested code, but you need to restructure to something like this:
code :
var t = -1,
  n = 40,
  duration = 750,
  data = [];

var margin = {
    top: 6,
    right: 0,
    bottom: 20,
    left: 40
  width = 560 - margin.right,
  height = 120 - margin.top - margin.bottom;

var x = d3.scale.linear()
  .domain([t - n + 1, t])
  .range([0, width]);

var y = d3.time.scale()
  .range([height, 0])
  .domain([0, 400]);;

var line = d3.svg.line()
  .x(function(d, i) {
    return x(d.time);
  .y(function(d, i) {
    return y(d.value);

var svg = d3.select("body").append("p").append("svg")
  .attr("width", width + margin.left + margin.right)
  .attr("height", height + margin.top + margin.bottom)
  .style("margin-left", -margin.left + "px")
  .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

  .attr("id", "clip")
  .attr("width", width)
  .attr("height", height);

var xAxis = d3.svg.axis().scale(x).orient("bottom");
var axis = svg.append("g")
  .attr("class", "x axis")
  .attr("transform", "translate(0," + height + ")")
  .call(x.axis = xAxis); * /

var path = svg.append("g")
  .attr("clip-path", "url(#clip)")
  .attr("class", "line");

function tick() {

  // update the domains
  x.domain([t - n + 2, t]);

  // redraw the line
    .attr("d", line)
    .attr("transform", null);

  // slide the x-axis left

  // slide the line left
    .attr("transform", "translate(" + x(t - n) + ")");

  // pop the old data point off the front
  if (data.length > 40) data.shift();


socket.on('news', function(p) {

  p = JSON.parse(p);
    time: ++t,
    value: p.valuee


which socket is best with realtime laravel application pusher or socket.io or some thing more better

which socket is best with realtime laravel application pusher or socket.io or some thing more better

By : Aselef Gebrehiwotuse
Date : March 29 2020, 07:55 AM
With these it helps Pusher is the paid service and Socket.io is open sourced but you need Redis server if you want to use this. then you have to pay for the Redis instance. you can reduce the price by using the Redis server, but you need to integrate manually when in Pusher, everything is fully managed by them.
how to stream realtime data in Python socket

how to stream realtime data in Python socket

Date : March 29 2020, 07:55 AM
I wish this helpful for you There are two approaches to sending kind of real-time data:
Sender sends data at a specific rate: in this case the sender sends the data for a specific time frame, then the next etc. Because each packet can have a different delay in transmission a some kind of time stamp will be added so that the receiver known when to play this packet. TCP is not a good idea in this case, because it will retransmit on packet loss and the resent packet will arrive too late. So in this cases usually UDP is used and the codec need to be able to deal with packet loss. A typical example for this kind of protocol is RTP, which is used in VoIP and other cases. Receiver receives the data at a specific rate: This is only for soft real-time, e.g. where a delay of several seconds or more is acceptable. In this case the sender just sends the data with TCP and each "frame" inside the stream contains some time stamp so that the receiver knows when to play it. The receiver will just read the packets as fast or slow as needed. If the packets arrive slower than needed it will need to pause playing and wait for more data (as seen with youtube etc), if they arrive faster than needed it will just read them as slow as needed which will automatically cause the sender to slow down the sending (inherent behavior of TCP).
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