D8 debugger

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The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. Yes, D8 is a command line tool that allows you to run and debug Javascript scripts. It comes with V8. Getting V8 on your machine is not hard.

d8 debugger

Look at d8 --help for the profiling options. These will be very similar to the options you can use when you want to use profiling on Chrome. If you want to debug start d8 with --debugger. The script will break otono porteno it encounters the statement debugger; in your code, or when you type debugger; in the d8 shell.

D8 vuejs

You get the shell by starting d8 with --shell. The d8 debugger is an old school command line debugger that will be painful to use on large complex scripts if you are used to GUI debuggers. D8 only listens for the debugger on the localhost. So if you are on a separate machine, then this won't work. There is no flag that will make it listen on another IP. Note that the Javascript environment in D8 is not the same as the one in a browser window.

There are a number of functions you can't use:. You won't be able to test browser things, such as window. Learn more. Asked 7 years, 7 months ago. Active 3 years, 8 months ago. Viewed 9k times. Does anybody have any idea about this? Bergi k 84 84 gold badges silver badges bronze badges. Lihong Qiu Lihong Qiu 31 1 1 silver badge 6 6 bronze badges. The first thing I found when I googled for d8 javascript was this: sandeepdatta.

Is this what you wanted to know? Active Oldest Votes. Getting D8 Getting V8 on your machine is not hard. With V8 installed, you now have d8, which allows you to run javascript from the command line. The scripts will show up in the interface set breakpoints in the Eclipse UI and have at it.

You do not need debugger; statements in your code. Remember there is no window. JS is really solid for this. Brad Brad k 33 33 gold badges silver badges bronze badges. Here's a related SO post on using Node: stackoverflow.

Sign up or log in Sign up using Google.V8windbg is a WinDbg extension for the V8 engine. It adjusts the behavior of the Locals pane and corresponding dx commands to display useful data when inspecting V8 object types. It is intended to be as robust as possible in dumps with limited memory, and should work equally well in live sessions, crash dumps, and time travel debugging. In WinDbgX, run. To inspect V8 objects, use the Locals window or the dx command as usual. As well as improving the Locals pane behavior, v8windbg also provides a few functions that can be called from within dx commands:.

Tip: : to see what objects are present in a chunk of heap memory, you can cast it to an array of TaggedValuelike this:. The source in. The V8-specific implementation under. It does not require WinDbg, but uses DbgEng. The test function launches a separate d8 process, attaches to that process as a debugger, lets d8 run until it hits a breakpoint, and then checks the output of a few dx commands.

The WinDbgx process itself does not host the extensions, but uses a helper process. Attach another instance of WinDbgx to the enghost. Load the extension in the target debugger the first WinDbg sessionwhich should trigger the breakpoint. Skip to content.

Branch: master. Create new file Find file History. Latest commit Fetching latest commit…. Building Run autoninja v8windbg in your output directory. Using In WinDbgX, run. Important notes: The version of v8windbg must exactly match the version and build configuration of the process you're debugging. To find the version number of a module in a crash dump, enter lm and click the module name, or run lmDvm modulename.

Ensure also that WinDbg can load the symbols. Cross-architecture debugging is possible in some cases: To debug an x86 process on x64, load the x86 build of v8windbg. This invokes the same logic that is used for the locals pane.

You may also pass a type hint as an optional second parameter if you find that v8windbg is not inferring the correct type which can happen when the memory for the object's Map wasn't collected in a crash dump. Its result is a custom object that supports iteration and indexing. When the extension is initialized Extension::Initialize : It registers a "parent model" for all known V8 object types, such as vinternal::HeapObject and vinternal::Symbol.

Any time WinDbg needs to represent a value with one of these types, it creates an IModelObject representing the value and attaches the parent model. This particular parent model supports IStringDisplayableConcept and IDynamicKeyProviderConceptmeaning the debugger will call a custom method every time it wants to get a description string or a list of fields for any of these objects.

The "Value" getter returns the correctly-typed tagged pointer contained by the handle. It overrides the getter functions for "LocalVariables" and "Parameters" on the parent model for stack frames. When the user selects a stack frame, WinDbg calls these getter functions to determine what it should show in the Locals pane.

Debugging the extension To debug the extension, launch a WinDbgx instance to debug with an active target, e. GetHeapObject for the interpretation of V8 objects.

d8 debugger

You signed in with another tab or window.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Drupal Answers is a question and answer site for Drupal developers and administrators. It only takes a minute to sign up. I'm having trouble attaching a library using the new attached mechanism in Drupal 8. Is there an easy way to debug and see which libraries Drupal is trying to load, and possibly, what goes wrong? In a form class, I'm returning a large render array.

One of the elements has an attached property:. I'm suspecting that contact. Therefore I'd like to follow the process in which Drupal loads the library and integrates it into the page. How to debug D8 library loading? There some ways to attach a library look here to see themthis make a bit hard, the task to create a debug workflow following each process.

Can someone add a general method of how to debug D8 library loading? First, like pointed by cilefen, you must turn off CSS and js aggregation in performance config tab. If you expand you will see all files:. Now, - if you miss a file, check your library if is really defined your file; - if not loaded 4xx, 5xx, responses to a filecheck your file location; - and make sure that you cleared the cache.

Very important: Considering that you follow all rules of a. Sign up to join this community. The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered. Ask Question. Asked 4 years, 6 months ago. Active 3 years, 11 months ago. Viewed 3k times. Motivation In a form class, I'm returning a large render array. Vriens Hendrik Hendrik 2 2 silver badges 9 9 bronze badges. Good point. I've added a bit of code now. Active Oldest Votes.This chapter provides instructions for configuring logging and includes general advice for debugging and troubleshooting Coherence applications.

Coherence applications are typically developed on a single computer. The cache server and application are started within the IDE and the application is debugged as required. This type of development environment is easy to setup, performs well, and is easy to debug.

A majority of applications can be created and tested this way. Ideally, most errors can be detected during development using logging, enabling JVM debug options, and capturing thread and heap dumps as required.

However, Coherence applications must eventually be tested in a more distributed environment. Debugging and troubleshooting in the testing environment is more difficult since data and processes are fully distributed across the cluster and because the network affects the application. When sending support an issue, always include the following items in a compressed file:.

Thread and heap dumps are required under certain circumstances. Heap dumps should be sent if the application runs out of memory or is consuming more memory than expected. Coherence has its own logging framework and also supports the use of log4j, slf4j, and Java logging to provide a common logging environment for an application.

Logging in Coherence occurs on a dedicated and low-priority thread to reduce the impact of logging on the critical portions of the system. Logging is pre-configured and the default settings should be changed as required. The logger's log level determines which log messages are emitted. The default log level emits error, warning, informational, and some debug messages.

During development, the log level should be raised to its maximum setting to ensure all debug messages are logged.

The following log levels are available:. More log messages are emitted as the log level is increased. The default log level is 5. For example:. The tangosol. The logger can be configured to emit log messages to several destinations. For standard output to the console, both stdout and stderr the default can be used.

The logger can also emit messages to a specified file. The specified path must already exist.

d8 debugger

Make sure the specified directory can be accessed and has write permissions. Output is appended to the file and there is no size limit. Process cannot share a log file and the log file is replaced when a process is restarted.

Sending log messages to a file is typically used during development and testing and is useful if the log messages need to be sent to Oracle support. The following example demonstrates specifying a log file named coherence. The default format of log messages can be changed depending on the amount of detail that is required.

A log message can include static text as well as any of the following parameters that are replaced at run time. The logging character limit specifies the maximum number of characters that the logger daemon processes from the message queue before discarding all remaining messages in the queue.Each exception relates to an error condition. This mechanism is just like that used for interrupts, where the ARM Cortex-M core branches to an interrupt handler when it accepts an interrupt.

For the purpose of this document it is enough to say that, if your application ends up in one of these handlers, then something has gone wrong. Hard faults are the most common fault type, as other fault types that are not enabled individually will be escalated to become a hard fault. Despite the numerous RTOS support requests from people explaining that, when using the RTOS kernel, their application ends up in the hard fault handler, when the issue has been worked through, it is always shown that the cause of the hardware fault is not the kernel, but one of the following: A misunderstanding of interrupt priorities on the ARM Cortex-M core easy to do!

A general RTOS user error. A bug in the application code. Hard fault debugging should start by ensuring the software application follows the guidelines provided on the two pages linked to in the first two bullet points above. If, after that, hard faults still persist, then it will be necessary to determine the system state at the time the fault occurred.

Debuggers do not always make that easy, so the rest of this page describes a software technique than can be used for the purpose. The default handlers are declared as weak symbols to allow the application writer to install their own handler simply by implementing a function with the correct name.

If an interrupt occurs for which the application writer has not provided their own handler then the default handler will execute. Default interrupt handlers are typically implemented as an infinite loop.

If an application ends up in such a default handler it is first necessary to determine which interrupt is actually executing. The code snippet below demonstrates how to add a few instructions to a default infinite loop handler to load the number of the executing interrupt into register 2 r2 before the infinite loop is entered. Interrupt numbers read from the NVIC in this way are relative to the start of the vector table, in which entries for system exceptions such as the hard fault appear before entries for peripheral interrupts.

If r2 contains the value 3 then, a hard fault exception is being handled. If r2 contains a value equal to or greater than 16, then a peripheral interrupt is being handled — and the interrupting peripheral can be determined by subtracting 16 from the interrupt number.

The code below shows how to read the register values from the stack into C variables. Once this is done, the values of the variables can be inspected in a debugger just as an other variable. First, a very short assembly function is defined to determine which stack was being used when the fault occurred.

Once this is done, the fault handler assembly code passes a pointer to the stack into a C function called prvGetRegistersFromStack. The fault handler is shown below using GCC syntax. Note that the function is declared as being naked, so it does not contain any compiler generated code for example, there is no function entry prologue code.You should see that the test function was optimized by V8, along with an explanation of why.

Generally speaking, the more "ICs with typeinfo" the better. So, you'll see that this time, the test function was never actually optimized. And the reason for that is because it's being passed objects with different hidden classes. Try changing the value of prop in a to an integer and run it again.

Debug your app

You should see that the function was able to be optimized. You should see that the optimized code for the test function was thrown out. But on the th round of the while loop, we gave it something different. So V8 had to throw away the optimized code, because its initial assumptions were wrong. Run tick-processor Reads v8. This'll show you where the program was spending most of its time, by function. The asterisk before the function name means that it was optimized.

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Make a note of the execution time that was logged to the terminal. Now try modifying the code to this dumb, contrived example:. Roughly the same execution time as the last function, which seems like it should have been faster. You'll also notice that the multiply and equal functions are nowhere on the list. Weird, right? So, we can see that the optimizing compiler was smart here and completely eliminated the overhead of calling both of those functions by inlining them into the optimized code for factorial.

The optimized code for both versions ends up being basically identical which you can check, if you know how to read assembly, by running d8 --print-opt-code test. Basically, V8's GC heap has different "spaces".

Most objects are allocated in the "new space". It's super cheap to allocate here, but it's also pretty small usually somewhere between 1 and 8 MB. Once that space gets filled up, the GC does a "scavenge". Scavenging is the fast part of V8 garbage collection.

Usually somewhere between 1 and 5ms from what I've seen -- so it might not necessarily cause a noticeable GC pause. Scavenges can only be kicked off by allocations. If the "new space" never gets filled up, the GC never needs to reclaim space by scavenging. Here, we use a preallocated ArrayBuffer and an associated ArrayBufferView in this case a Uint16Array in order to avoid reallocating a new object every time we run strToArray.

The result is that we're hardly allocating anything. Lots of scavenges, which is expected since we're no longer using a preallocated buffer. But there should also be a bunch of Mark-sweep lines. Mark-sweep is the "full" GC. It gets run when the "old space" heap reaches a certain size, and it tends to take a lot longer than a scavenge. Since the frame budget in a web app is about 16ms, you're pretty much guaranteed to drop at least 1 frame every time Mark-sweep runs.

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There's a ton there, but you can usually find what you're looking for with something like d8 --help grep memory or whatever. A somewhat incomplete list of native functions are listed here. But you can log to the terminal using print. So in V8, there's this concept of "hidden classes" Good explanation a couple paragraphs in. You should read that article — but basically, hidden classes are how V8 SpiderMonkey and JavaScript Core use similar techniques, too determine whether or not two objects have the same "shape".

All things considered, you always want to pass objects of the same hidden class as arguments to functions.You can also include DEX files for d8 to merge them into the DEX output, which is useful when including output from an incremental build.

By default, d8 compiles the Java bytecode into optimized DEX files and includes debug information that you can use to debug your code during runtime. However, you can include optional flags to, for example, perform an incremental build, specify classes that should be compiled into the main DEX file, and specify paths to additional resources required to use Java 8 language features.

The following table describes the optional flags you can use with d8. This option is enabled by default. To include debug information in your DEX bytecode, d8 expects that the input Java bytecode includes that information.

For example, if you're using javac to compile your code, you need to pass the -g flag to include debug information in the output Java bytecode. When compiling DEX files for the release version of your app or library, instead use the --release flag described below.

If you specify the path to an existing directory, d8 outputs the DEX files in that directory. When you want to compile DEX files that you intend to run on a device, exclude this flag and specify the path to the intermediate DEX classes as an input. Enabling this flag allows you to perform more incremental builds by re-compiling only the classes that have changed. When performing incremental builds using the Android Gradle Plugin, this optimization is enabled by default.

You can not use this flag while also specifying --main-dex-list. Because the Android system loads the main DEX file first when starting your app, you can use this flag to prioritize certain classes at startup by compiling them into the main DEX file. This is particularly useful when supporting legacy multidex because only classes in the main DEX file are available at runtime until the legacy multidex library is loaded. Keep in mind, the each DEX file must still satisfy the the 64K reference limit.

So, be sure not to specify too many classes for the main DEX file or you get a compile error. If you specify --release mode, d8 tries to reduce the number of DEX files that are packaged into the release version of your app by including as many other classes in the main DEX file as possible—until the 64K limit is met.

You can not use this flag while also specifying --file-per-class. To improve build speeds during development, such as for continuous integration builds, you can instruct d8 to compile only a subset of your project's Java bytecode. For example, if you enable per-class dexing, you can re-compile only the classes that you have modified since the previous build. The following command performs an incremental build of a few classes and enables per-class dexing.

The command also specifies an output directory for the incremental build. When d8 performs an incremental build, it stores additional information in the DEX output that it later uses to correctly process the --main-dex-list option and merge DEX files during a full build of your app. For example, when processing Java 8 lambda classes, d8 keeps track of which lamdba classes are created for each input class. During a full build, when d8 includes a class in the main DEX file, it consults the metadata to ensure all of the lambda classes created for that class are also included in the main DEX file.

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