![]() These requirements require the framework to be super flexible for orchestrating Http tasks, as well as having very grounded support for practical requirements (such as redirect, ssl proxy and other features), which Workflow has implemented. want to access HTTP and HTTPS resources through proxy proxy.Http Client can automatically do the jump for me when I encounter redirect to request the final result in one step.Sequential or requesting content from a site at a specified rate to avoid being blocked for over-requesting.superscale parallel crawling in combination with workflow’s serial and parallel task flow.Of course, in addition to the above high performance, a high performance Http Client often has many other requirements, which can be shared here in conjunction with. ![]() Quickly create quizzes to measure student knowledge, evaluate class progress, and focus on subjects that need improvement. With Workflow there is no need to worry about this, as Workflow will automatically look for currently reusable connections when the task is issued, and only create them if they are not available, without requiring the developer to care about the details of how the connections are reused. Easily create surveys and polls to collect customer feedback, measure employee satisfaction, and organize team events. Obviously, taking up a lot of connections is a waste of system resources, and having to do connect and close every time is very time consuming, and the process of establishing connections can be relatively complex for many application layer protocols, in addition to the common TCP handshake. Let’s look at what it would look like if a single request created a single connection. Why? Because the framework has multiplexing of connections. Connection ReuseĪs we mentioned earlier, as long as we have established long connections, we can increase efficiency. This is when we need to see how the asynchronous framework is implemented.Īs shown in the diagram, as soon as the task is sent out, the thread can do other things, we pass in a callback function to do asynchronous notification, so after the task’s network reply is received, and then let the thread execute this callback function to get the results of the Http request, during multiple tasks concurrently out, the thread can be reused, easily reach hundreds of thousands of QPS concurrency degree. Network latency is often very high and if we are waiting for a task to come back synchronously, the thread will be occupied all the time. Why? A first look at what the thread model looks like for a synchronous framework launching three Http tasks can be found in the following diagram. The synchronous and asynchronous modes directly determine how concurrent our Http Client can be. The former is the reuse of threaded resources, the latter is the reuse of connected resources, all of which are managed for the user at the framework level, fully reducing the developer’s mental burden. How does Workflow guarantee high concurrency? Two things, really. We use C++ to write Http Client, and the most fragrant thing is that we can take advantage of its high performance. Task ->get_resp() ->get_parsed_body( &body, &body_len)
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