<div dir="ltr">The various NativeProcess implementations are definitely a good starting point and I'll probably be looking at them to understand all the ins and outs of each platform. I'm not sure if the API / interface we want will be the same, so I don't think we can just copy it all down. But a lot of the core logic we probably can. Depending on how much of it we end up implementing and how close we get to the current functionality of the NativeProcess classes, this could be another area for code reuse similar to what I mentioned with the DWARF reading. i.e. we could write lots of low-level tests of the tracing functionality specifically, then update the NativeProcess implementations to use this.<div><br><div class="gmail_quote"><div dir="ltr">On Tue, Jun 26, 2018 at 1:09 PM Jim Ingham <<a href="mailto:jingham@apple.com" target="_blank">jingham@apple.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">You'd probably need to pull the Unwinder in if you want backtraces, but that part shouldn't be that hard to disentangle. I don't think you'd need much else?<br>
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Basing your work on NativeProcess rather than lldb proper would also cut the number of observer processes in half and avoid the context switches between the server and the debugger. That seems more appropriate for a lightweight tool.<br>
<br>
Jim<br>
<br>
<br>
> On Jun 26, 2018, at 12:59 PM, Jim Ingham via lldb-dev <<a href="mailto:lldb-dev@lists.llvm.org" target="_blank">lldb-dev@lists.llvm.org</a>> wrote:<br>
> <br>
> So you aren't planning to print values at all, just stop points (i.e. you are only interested in the line table and function symbols part of DWARF)?<br>
> <br>
> Given what you've described so far, I'm wondering if what you really want is the NativeProcess classes with some symbol-file reading pulled in? Is there anything that you couldn't do from there?<br>
> <br>
> Jim<br>
> <br>
> <br>
>> On Jun 26, 2018, at 12:48 PM, Zachary Turner <<a href="mailto:zturner@google.com" target="_blank">zturner@google.com</a>> wrote:<br>
>> <br>
>> no expression parser or knowledge of any specific programming language.<br>
>> <br>
>> Basically I just mean that the parsing of the native DWARF format itself is in scope, but anything beyond that is out of scope. For symbolication we have things like llvm-symbolizer that already just work and are built on top of LLVM's dwarf parsing code. Similarly, LLDB's type system could be built on top of it as well. Given that I think everyone mostly agrees that unifying on one DWARF parser is a good idea in principle, this would mean no functional change from LLDB's point of view, it would just continue to do exactly what it does regarding parsing C++ expressions and converting these into types that clang understands.<br>
>> <br>
>> It will probably be useful someday to have an expression parser and language specific type system, but when that comes I don't think we'd want anything radically different than what LLDB already has.<br>
>> <br>
>> On Tue, Jun 26, 2018 at 12:26 PM Jim Ingham <<a href="mailto:jingham@apple.com" target="_blank">jingham@apple.com</a>> wrote:<br>
>> Just to be clear, by "no clang integration" do you mean "no expression parser" or do you mean something more radical? For instance, adding a TypeSystem and its DWARF parser for C family languages that uses a different underlying representation than Clang AST's to store the results would be a lot of work that wouldn't be terribly interesting to lldb. I don't think that's what you meant, but wanted to be sure.<br>
>> <br>
>> Jim<br>
>> <br>
>>> On Jun 26, 2018, at 11:58 AM, Zachary Turner via lldb-dev <<a href="mailto:lldb-dev@lists.llvm.org" target="_blank">lldb-dev@lists.llvm.org</a>> wrote:<br>
>>> <br>
>>> Hi all,<br>
>>> <br>
>>> We have been thinking internally about a lightweight llvm-based ptracer. To address one question up front: the primary way in which this differs from LLDB is that it targets a more narrow use case -- there is no scripting support, no clang integration, no dynamic extensibility, no support for running jitted code in the target, and no user interface. We have several use cases internally that call for varying levels of functionality from such a utility, and being able to use as little as possible of the library as is necessary for the given task is important for the scale in which we wish to use it. <br>
>>> <br>
>>> We are still in early discussions and planning, but I think this would be a good addition to the LLVM upstream. Since we’re approaching this as a set of small isolated components, my thinking is to work on this completely upstream, directly under the llvm project (as opposed to making a separate subproject), but I’m open to discussion if anyone feels differently.<br>
>>> <br>
>>> LLDB has solved a lot of the difficult problems needed for such a tool. So in the spirit of code reuse, we think it’s worth trying componentize LLDB by sinking pieces into LLVM and rebasing LLDB as well as these smaller tools on top of these components, so that smaller tools can reduce code duplication and contribute to the overall health of the code base. At the same time we think that in doing so we can break things up into more granular pieces, ultimately exposing a larger testing surface and enabling us to create exhaustive tests, giving LLDB more fine grained testing of important subsystems.<br>
>>> <br>
>>> A good example of this would be LLDB’s DWARF parsing code, which is more featureful than LLVM’s but has kind of evolved in parallel. Sinking this into LLVM would be one early target of such an effort, although over time there would likely be more.<br>
>>> <br>
>>> Anyone have any thoughts / strong opinions on this proposal, or where the code should live? Also, does anyone have any suggestions on things they’d like to see come out of this? Whether it’s a specific new tool, new functionality to an existing tool, an architectural or design change to some existing tool or library, or something else entirely, all feedback and ideas are welcome.<br>
>>> <br>
>>> Thanks,<br>
>>> Zach<br>
>>> <br>
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