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With OkHttp library, application is facing following SocketTimeoutException issue. If request size is less, then it is working fine(Less than 1MB). I am getting this exception within 10 seconds, even my socket timeout(readTimeout) value is much higher. It is consistently failing for a request(Size is 1.8MB). When I executed a request with HttpUrlConnection it is working fine. What could be a possible reason of failure?



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The action attribute takes an absolute or relative URL as a value. When the caller finishes entering digits (or the timeout is reached), Twilio will make an HTTP request to this URL. That request will include the user's data and Twilio's standard request parameters.


When collecting speech from your caller, speechTimeout sets the limit (in seconds) that Twilio will wait after a pause in speech before it stops its recognition. After this timeout is reached, Twilio will post the speechResult to your action URL.


When a contains nested or verbs, the timeout begins either after the audio completes or when the caller presses their first key. If contains multiple verbs, the contents of all files will be retrieved before the begins.






Reads a pulse (either HIGH or LOW) on a pin. For example, if value is HIGH, pulseIn() waits for the pin to go from LOW to HIGH, starts timing, then waits for the pin to go LOW and stops timing. Returns the length of the pulse in microseconds or gives up and returns 0 if no complete pulse was received within the timeout.


pin: the number of the Arduino pin on which you want to read the pulse. Allowed data types: int.

value: type of pulse to read: either HIGH or LOW. Allowed data types: int.

timeout (optional): the number of microseconds to wait for the pulse to start; default is one second. Allowed data types: unsigned long.


(English pronunciations of timeout from the Cambridge Advanced Learner's Dictionary & Thesaurus and from the Cambridge Academic Content Dictionary, both sources  Cambridge University Press)


By default, SSMS waits forever for a query to complete. If you get this error, this is because you have set a query timeout under Tools->Options->Query Execution->SQL Server->General->Execution time-out. You can also change it for the current window, by right-clicking and selecting Query Options from the bottom of the context menu. Set the time-out to 0 to wait forever.


Hi Erland, I have followed this but still when my endpoint API call happens, I still get a timeout. Is there something else I could do? When I execute the SP on SSMS it takes 45s to complete but from the API it timesout.


I have a very simple question but I am unable to find answer. I am creating a data flow which is bringing Millions of records. It times out after 20 minutes. Is there a way to check timeout setting and change those settings?


My query is taking more time to refresh and when i refresh im getting command timeout error . So i need to set command timeout option in Power BI desktop but it is disabled at the moment how to enable it??


Thank you so much  Heather. I believe it will solve my problem. The issue did not appear again in my dataflow, but if it appears again, I will try to put timeout manually using the advanced editor. Hopefully, that will be the solution.


During normal operation, the computer regularly restarts the watchdog timer to prevent it from elapsing, or "timing out". If, due to a hardware fault or program error, the computer fails to restart the watchdog, the timer will elapse and generate a timeout signal. The timeout signal is used to initiate corrective actions. The corrective actions typically include placing the computer and associated hardware in a safe state and invoking a computer reboot.


Watchdog timers come in many configurations, and many allow their configurations to be altered. For example, the watchdog and CPU may share a common clock signal as shown in the block diagram below, or they may have independent clock signals. A basic watchdog timer has a single timer stage which, upon timeout, typically will reset the CPU:


Two or more timers are sometimes cascaded to form a multistage watchdog timer, where each timer is referred to as a timer stage, or simply a stage. For example, the block diagram below shows a three-stage watchdog. In a multistage watchdog, only the first stage is kicked by the processor. Upon first stage timeout, a corrective action is initiated and the next stage in the cascade is started. As each subsequent stage times out, it triggers a corrective action and starts the next stage. Upon final stage timeout, a corrective action is initiated, but no other stage is started because the end of the cascade has been reached. Typically, single-stage watchdog timers are used to simply restart the computer, whereas multistage watchdog timers will sequentially trigger a series of corrective actions, with the final stage triggering a computer restart.[3]


For example, the above diagram shows a likely configuration for a two-stage watchdog timer. During normal operation the computer regularly kicks Stage1 to prevent a timeout. If the computer fails to kick Stage1 (e.g., due to a hardware fault or programming error), Stage1 will eventually timeout. This event will start the Stage2 timer and, simultaneously, notify the computer (by means of a non-maskable interrupt) that a reset is imminent. Until Stage2 times out, the computer may attempt to record state information, debug information, or both. As a last resort, the computer will be reset upon Stage2 timeout.


Upon discovery of a failed test, the computer may attempt to perform a sequence of corrective actions under software control, culminating with a software-initiated reboot. If the software fails to invoke a reboot, the watchdog timer will timeout and invoke a hardware reset. In effect, this is a multistage watchdog timer in which the software comprises the first and intermediate timer stages and the hardware reset the final stage. In a Linux system, for example, the watchdog daemon could attempt to perform a software-initiated restart, which can be preferable to a hardware reset as the file systems will be safely unmounted and fault information will be logged. It is essential, however, to have the insurance provided by a hardware timer, since a software restart can fail under a number of fault conditions.[citation needed]


When you use gRPC, the gRPC library takes care of communication, marshalling, unmarshalling, and deadline enforcement. Deadlines allow gRPC clients to specify how long they are willing to wait for an RPC to complete before the RPC is terminated with the error DEADLINE_EXCEEDED. By default this deadline is a very large number, dependent on the language implementation. How deadlines are specified is also language-dependent. Some language APIs work in terms of a deadline, a fixed point in time by which the RPC should complete. Others use a timeout, a duration of time after which the RPC times out.


When using Regexps to process untrusted input, you should use the timeout feature to avoid excessive backtracking. Otherwise, a malicious user can provide input to Regexp causing Denial-of-Service attack. Note that the timeout is not set by default because an appropriate limit highly depends on an application requirement and context.


If optional keyword argument timeout is given, its float value overrides the timeout interval for the class, Regexp.timeout. If nil is passed as +timeout, it uses the timeout interval for the class, Regexp.timeout.


It sets the default timeout interval for Regexp matching in second. nil means no default timeout configuration. This configuration is process-global. If you want to set timeout for each Regexp, use timeout keyword for Regexp.new.


If you configure a timeout for a Scatter-Gather component and a route does not complete processing before the timeout expires, the route throws a MULE:TIMEOUT error. This error is then handled the same way as any other error generated from a route: after each route completes (either by processing success or by throwing a MULE:TIMEOUT error), the successful results and errors are collected together in the Scatter-Gather component MULE:COMPOSITE_ROUTING error, which is then processed in your configured error handler.


A server connection timeout means that a server is taking too long to reply to a data request made from another device. Timeouts are not a reply message: they show up when there isn't a reply and a server request is not fulfilled in a predetermined length of time. A server connection timeout error does little to tell you what went wrong or why the error happened: it just identifies that the error occurred. Timeout errors can happen for a number of reasons. The server, the requesting device, the network hardware and even an Internet connection can be at fault.


The purpose of a server timeout is to prevent a device from endlessly waiting for a sever to respond. Server timeouts can occur when using a Web browser to view a site, connecting to an online service with a game or running a program update, among other situations. A task that has timed out or undergone a timeout is considered incomplete or failed. Essentially, the device that made the initial request for data from another device "gives up" on waiting for that information to be sent when a timeout occurs. According to Microsoft, Internet Explorer 8 defaults the timeout duration at 60 minutes. The timeout duration varies depending on which program makes the data request from the server and can range from a few seconds to a few hours.


Server timeout errors can be caused when a program tries to connect to a server that doesn't exist. The server could be offline or the program could have the wrong address. The server could be put back online or moved to the request location, but as far as the device is concerned it's looking for something that isn't there. These errors can be fixed by correcting the address if the server exists.

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