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For example, to introspect the AddressBook object we can measure it at the entry to its DumpContacts() method and the specification would be:",source:"@site/docs/addrbook-this.md",sourceDirName:".",slug:"/addrbook-this",permalink:"/object-introspection/docs/addrbook-this",draft:!1,editUrl:"https://github.com/facebookexperimental/object-introspection/docs/addrbook-this.md",tags:[],version:"current",frontMatter:{title:"this pointers"},sidebar:"mysidebar",previous:{title:"A Simple Address Book Example",permalink:"/object-introspection/docs/addrbook-intro"},next:{title:"Function Arguments",permalink:"/object-introspection/docs/addrbook-funcargs"}},c={},l=[],d={toc:l};function p(e){let{components:t,...n}=e;return(0,o.kt)("wrapper",(0,a.Z)({},d,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("p",null,"We specify exactly which function and arguments are to be introspected through a ",(0,o.kt)("strong",{parentName:"p"},(0,o.kt)("em",{parentName:"strong"},"probe specification"))," (terminology borrowed from ",(0,o.kt)("a",{parentName:"p",href:"https://en.wikipedia.org/wiki/DTrace"},"DTrace"),"). It's simply a colon delimited tuple that specifies exactly what object we are interested in and where in the code we want to observe it. For example, to introspect the ",(0,o.kt)("inlineCode",{parentName:"p"},"AddressBook")," object we can measure it at the entry to its ",(0,o.kt)("inlineCode",{parentName:"p"},"DumpContacts()")," method and the specification would be:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"}," entry:_ZN11AddressBook12DumpContactsEv:this\n")),(0,o.kt)("p",null,"There are a few points to note here:"),(0,o.kt)("ul",null,(0,o.kt)("li",null,"We are using the ",(0,o.kt)("code",null,"AddressBook::DumpContacts")," method. Note that we specify the function name using the mangled C++ name which can be found using ",(0,o.kt)("code",null,"readelf -sW /path/to/binary | grep symbol"),"."),(0,o.kt)("li",null,"We are introspecting the object itself through the ",(0,o.kt)("code",null,"this")," specifier."),(0,o.kt)("li",null,"We are introspecting on entry to the method but we could have chosen to introspect the object the object at the return point from the ",(0,o.kt)("code",null,"AddressBook::DumpContacts()")," method which would be useful if state had been altered during execution of he method.")),(0,o.kt)("p",null,"We use the ",(0,o.kt)("inlineCode",{parentName:"p"},"oid")," debugger to capture the object itself from the address book application. Every second a contact is added to the address book with the ",(0,o.kt)("inlineCode",{parentName:"p"},"AddContact()")," method and the address book is dumped with the ",(0,o.kt)("inlineCode",{parentName:"p"},"DumpContacts()")," method. After running for a minute or so let's capture the Address book object:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},"$ build/oid -S 'entry:_ZN11AddressBook12DumpContactsEv:this' -p `pgrep addrbook` -c build/oid-cfg.toml -J\nAttached to pid 4039830\nSUCCESS\n")),(0,o.kt)("p",null,"The ",(0,o.kt)("inlineCode",{parentName:"p"},"-J")," flag instructed ",(0,o.kt)("inlineCode",{parentName:"p"},"oid")," to dump the captured objects introspection data in a JSON file:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},"$ ~/object-introspection# ls -l oid_out.json\n-rw-r--r-- 1 root root 78975 Dec 16 20:35 oid_out.json\n")),(0,o.kt)("p",null,"This is a simple object but the resulting JSON becomes quite large when more than a handful of contacts have been added. Let's examine some sections to see what we can glean about the object that has been captured:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},'$ jq . oid_out.json\n[\n {\n "name": "this",\n "typePath": "this",\n "typeName": "AddressBook",\n "isTypedef": false,\n "staticSize": 64,\n "dynamicSize": 23185,\n "paddingSavingsSize": 4,\n "members": [\n')),(0,o.kt)("p",null,"The root type is an ",(0,o.kt)("code",null,"AddressBook")," object as we'd expect and it has a static footprint of 64 bytes with its data members in total having a dynamic memory footprint of 23185 bytes."),(0,o.kt)("p",null,"The first member is simply an integer for the ",(0,o.kt)("code",null,"rev")," data member which has a 4 byte static memory footprint on this platform."),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},' "members": [\n {\n "name": "rev",\n "typePath": "rev",\n "typeName": "int",\n "isTypedef": false,\n "staticSize": 4,\n "dynamicSize": 0\n },\n')),(0,o.kt)("p",null,"Next we have a ",(0,o.kt)("code",null,"std::string")," object for the top level ",(0,o.kt)("code",null,"Owner")," member. 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More accurately, it is a vector of ",(0,o.kt)("code",null,"Contact")," objects as can be seen in the ",(0,o.kt)("code",null,"typeName")," JSON member for the root of the ",(0,o.kt)("code",null,"Entries")," object shown below. Note that the vector currently has an allocated ",(0,o.kt)("code",null,"capacity")," of 128 ",(0,o.kt)("code",null,"Contact")," elements of which 71 are actual ",(0,o.kt)("code",null,"Contact")," objects. The 23185 bytes of dynamically allocated objects in the vector is composed of the 71 x 96 byte ",(0,o.kt)("code",null,"Contact")," objects plus whatever memory that has been dynamically allocated for string content in those objects:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},' {\n "name": "Entries",\n "typePath": "Entries",\n "typeName": "vector >",\n "isTypedef": false,\n "staticSize": 24,\n "dynamicSize": 23185,\n "pointer": 140720550450568,\n "length": 71,\n "capacity": 128,\n "elementStaticSize": 96,\n')),(0,o.kt)("p",null,"For the sake of brevity let's just inspect the first ",(0,o.kt)("inlineCode",{parentName:"p"},"Contact")," object shown below. It's static footprint at 96 bytes is the three strings at 32 bytes each. We can see that the first and third string have strings larger than the 15 bytes allocated for the short string optimization buffer and are therefore allocated in dynamic memory that is external to the string objects themselves. The second string has no dynamic memory allocated as the 14 byte character sequence it is housing fits within the 15 byte pre-allocated buffer:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},'\n "members": [\n {\n "name": "",\n "typePath": "Contact[]",\n "typeName": "Contact",\n "isTypedef": false,\n "staticSize": 96,\n "dynamicSize": 65,\n "members": [\n {\n "name": "firstName",\n "typePath": "firstName",\n "typeName": "string",\n "isTypedef": true,\n "staticSize": 32,\n "dynamicSize": 35,\n "members": [\n {\n "name": "",\n "typePath": "",\n "typeName": "basic_string, std::allocator >",\n "isTypedef": false,\n "staticSize": 32,\n "dynamicSize": 35,\n "length": 35,\n "capacity": 35,\n "elementStaticSize": 1\n }\n ]\n },\n {\n "name": "lastName",\n "typePath": "lastName",\n "typeName": "string",\n "isTypedef": true,\n "staticSize": 32,\n "dynamicSize": 0,\n "members": [\n {\n "name": "",\n "typePath": "",\n "typeName": "basic_string, std::allocator >",\n "isTypedef": false,\n "staticSize": 32,\n "dynamicSize": 0,\n "length": 14,\n "capacity": 15,\n "elementStaticSize": 1\n }\n ]\n },\n {\n "name": "number",\n "typePath": "number",\n "typeName": "string",\n "isTypedef": true,\n "staticSize": 32,\n "dynamicSize": 30,\n "members": [\n {\n "name": "",\n "typePath": "",\n "typeName": "basic_string, std::allocator >",\n "isTypedef": false,\n "staticSize": 32,\n "dynamicSize": 30,\n "length": 18,\n "capacity": 30,\n "elementStaticSize": 1\n }\n ]\n }\n')),(0,o.kt)("p",null,"In total we have 71 ",(0,o.kt)("inlineCode",{parentName:"p"},"Contact")," objects introspected here and each can be analyzed as we have done above:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},'$ ~/object-introspection# jq . /tmp/oit.oit.json.fmt | grep -c "\\"typeName\\": \\"Contact\\""\n71\n')))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/33683427.0a6cb558.js b/assets/js/33683427.0a6cb558.js new file mode 100644 index 0000000..3ed8855 --- /dev/null +++ b/assets/js/33683427.0a6cb558.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkoi_web=self.webpackChunkoi_web||[]).push([[279],{3905:(e,t,n)=>{n.d(t,{Zo:()=>l,kt:()=>f});var r=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function i(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(r=0;r=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var s=r.createContext({}),p=function(e){var t=r.useContext(s),n=t;return e&&(n="function"==typeof e?e(t):i(i({},t),e)),n},l=function(e){var t=p(e.components);return r.createElement(s.Provider,{value:t},e.children)},d="mdxType",u={inlineCode:"code",wrapper:function(e){var t=e.children;return r.createElement(r.Fragment,{},t)}},m=r.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,s=e.parentName,l=c(e,["components","mdxType","originalType","parentName"]),d=p(n),m=o,f=d["".concat(s,".").concat(m)]||d[m]||u[m]||a;return n?r.createElement(f,i(i({ref:t},l),{},{components:n})):r.createElement(f,i({ref:t},l))}));function f(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,i=new Array(a);i[0]=m;var c={};for(var s in t)hasOwnProperty.call(t,s)&&(c[s]=t[s]);c.originalType=e,c[d]="string"==typeof e?e:o,i[1]=c;for(var p=2;p{n.r(t),n.d(t,{assets:()=>s,contentTitle:()=>i,default:()=>d,frontMatter:()=>a,metadata:()=>c,toc:()=>p});var r=n(7462),o=(n(7294),n(3905));const a={title:"Function Arguments"},i="Introspecting Function Arguments",c={unversionedId:"addrbook-funcargs",id:"addrbook-funcargs",title:"Function Arguments",description:"We'll now look at a simple example of introspecting objects upon entry to a function. Adding a contact to the address book takes 3 string objects passed by reference:",source:"@site/docs/addrbook-funcargs.md",sourceDirName:".",slug:"/addrbook-funcargs",permalink:"/object-introspection/docs/addrbook-funcargs",draft:!1,editUrl:"https://github.com/facebookexperimental/object-introspection/docs/addrbook-funcargs.md",tags:[],version:"current",frontMatter:{title:"Function Arguments"},sidebar:"mysidebar",previous:{title:"this pointers",permalink:"/object-introspection/docs/addrbook-this"},next:{title:"Limitations and Constraints",permalink:"/object-introspection/docs/constraints"}},s={},p=[],l={toc:p};function d(e){let{components:t,...n}=e;return(0,o.kt)("wrapper",(0,r.Z)({},l,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"introspecting-function-arguments"},"Introspecting Function Arguments"),(0,o.kt)("p",null,"We'll now look at a simple example of introspecting objects upon entry to a function. Adding a contact to the address book takes 3 string objects passed by reference:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"}," void AddContact(std::string& f, std::string& l, std::string& n);\n")),(0,o.kt)("p",null,"We need the symbol name to form the probe specification:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},"$ ~/object-introspection/examples/web/AddrBook# readelf -sW addrbook | grep AddContext\n 76: 0000000000401980 221 FUNC WEAK DEFAULT 15 _ZN11AddressBook10AddContactERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES6_S6_\n")),(0,o.kt)("p",null,"So the probe specification for introspecting the first and third argument (FirstName and Number) passed to ",(0,o.kt)("inlineCode",{parentName:"p"},"AddContact()")," is:"),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},"$ ~/object-introspection/examples/web/AddrBook# cat /tmp/addrentry.oid\nentry:_ZN11AddressBook10AddContactERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES6_S6_:arg0,arg2\n")),(0,o.kt)("p",null,"A few small things to note:"),(0,o.kt)("ul",null,(0,o.kt)("li",null,"Instead of specifying the probe on the command line with the `-S` option we've put it into a file as longer probe specifications become a bit unwieldy in the command line for some of us!"),(0,o.kt)("li",null,"Arguments to functions are referenced by `argX` where `X` begins at 0 for the first argument."),(0,o.kt)("li",null,"One or more arguments can be specified in the probe specification.")),(0,o.kt)("pre",null,(0,o.kt)("code",{parentName:"pre"},'$ ~/object-introspection# jq . oid_out.json\n[\n {\n "name": "f",\n "typePath": "f",\n "typeName": "string",\n "isTypedef": true,\n "staticSize": 32,\n "dynamicSize": 0,\n "members": [\n {\n "name": "",\n "typePath": "",\n "typeName": "basic_string, std::allocator >",\n "isTypedef": false,\n "staticSize": 32,\n "dynamicSize": 0,\n "length": 14,\n "capacity": 15,\n "elementStaticSize": 1\n }\n ]\n },\n {\n "name": "n",\n "typePath": "n",\n "typeName": "string",\n "isTypedef": true,\n "staticSize": 32,\n "dynamicSize": 23,\n "members": [\n {\n "name": "",\n "typePath": "",\n "typeName": "basic_string, std::allocator >",\n "isTypedef": false,\n "staticSize": 32,\n "dynamicSize": 23,\n "length": 23,\n "capacity": 23,\n "elementStaticSize": 1\n }\n ]\n }\n]\n')),(0,o.kt)("p",null,"The above shows us that the first argument, f, is 14 bytes in length and fits within the SSO static buffer while the third argument, n, is 23 characters long and there occupies dynamically allocated memory external the the string object."))}d.isMDXComponent=!0}}]); 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We'd love to hear from you about what you need supporting and how any limitations effect you so please feel free to create issues on GitHub or tell us directly on Matrix or IRC.",source:"@site/docs/constraints.md",sourceDirName:".",slug:"/constraints",permalink:"/object-introspection/docs/constraints",draft:!1,editUrl:"https://github.com/facebookexperimental/object-introspection/docs/constraints.md",tags:[],version:"current",sidebarPosition:3,frontMatter:{sidebar_position:3},sidebar:"mysidebar",previous:{title:"Function Arguments",permalink:"/object-introspection/docs/addrbook-funcargs"},next:{title:"Contributing",permalink:"/object-introspection/docs/contributing"}},l={},c=[],u={toc:c};function p(e){let{components:t,...n}=e;return(0,o.kt)("wrapper",(0,r.Z)({},u,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"limitations-and-constraints"},"Limitations and Constraints"),(0,o.kt)("p",null,"OI has been initially designed for use within Meta and therefore some of its current implementation may present challenges for you in your environment. 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d.O(u)},r=self.webpackChunkoi_web=self.webpackChunkoi_web||[];r.forEach(t.bind(null,0)),r.push=t.bind(null,r.push.bind(r))})()})(); \ No newline at end of file diff --git a/docs/addrbook-funcargs.html b/docs/addrbook-funcargs.html new file mode 100644 index 0000000..ba346fa --- /dev/null +++ b/docs/addrbook-funcargs.html @@ -0,0 +1,24 @@ +<!doctype html> +<html lang="en" dir="ltr" class="docs-wrapper docs-doc-page docs-version-current plugin-docs plugin-id-default docs-doc-id-addrbook-funcargs"> +<head> +<meta charset="UTF-8"> +<meta name="generator" content="Docusaurus v2.2.0"> +<title data-rh="true">Function Arguments | Object Introspection + + + + + + + + + + + + +
+

Introspecting Function Arguments

We'll now look at a simple example of introspecting objects upon entry to a function. Adding a contact to the address book takes 3 string objects passed by reference:

  void AddContact(std::string& f, std::string& l, std::string& n);

We need the symbol name to form the probe specification:

$ ~/object-introspection/examples/web/AddrBook# readelf -sW addrbook | grep AddContext
76: 0000000000401980 221 FUNC WEAK DEFAULT 15 _ZN11AddressBook10AddContactERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES6_S6_

So the probe specification for introspecting the first and third argument (FirstName and Number) passed to AddContact() is:

$ ~/object-introspection/examples/web/AddrBook# cat /tmp/addrentry.oid
entry:_ZN11AddressBook10AddContactERNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES6_S6_:arg0,arg2

A few small things to note:

  • Instead of specifying the probe on the command line with the `-S` option we've put it into a file as longer probe specifications become a bit unwieldy in the command line for some of us!
  • Arguments to functions are referenced by `argX` where `X` begins at 0 for the first argument.
  • One or more arguments can be specified in the probe specification.
$ ~/object-introspection# jq . oid_out.json
[
{
"name": "f",
"typePath": "f",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 0,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::allocator<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 0,
"length": 14,
"capacity": 15,
"elementStaticSize": 1
}
]
},
{
"name": "n",
"typePath": "n",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 23,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::allocator<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 23,
"length": 23,
"capacity": 23,
"elementStaticSize": 1
}
]
}
]

The above shows us that the first argument, f, is 14 bytes in length and fits within the SSO static buffer while the third argument, n, is 23 characters long and there occupies dynamically allocated memory external the the string object.

+ + + + \ No newline at end of file diff --git a/docs/addrbook-intro.html b/docs/addrbook-intro.html new file mode 100644 index 0000000..e2565d7 --- /dev/null +++ b/docs/addrbook-intro.html @@ -0,0 +1,24 @@ + + + + + +A Simple Address Book Example | Object Introspection + + + + + + + + + + + + +
+

A simple address book example

Let's start with a very simple C++ application: an address book. This contrived simple piece of code contains everything we need to take you through the basics of using OI. The code itself can be found in the examples/web/AddrBook directory in the OI GitHub repo.

First, build the test application:

$ ~/object-introspection/examples/web/AddrBook: make CC=clang++-12
clang++-12 -o addrbook AddrBook.cpp -std=c++20 -g -O3

(No need to override the 'CC' make variable if you have clang++ in your path).

You can see the DWARF data is present in the generated executable:

$ ~/object-introspection/examples/web/AddrBook# size -At addrbook | grep "\.debug"
.debug_info 71316 0
.debug_abbrev 2446 0
.debug_line 8971 0
.debug_str 44990 0
.debug_loc 27968 0
.debug_ranges 10240 0

Each address book is composed of a single AddressBook object which contains zero or more Contact objects. Here's how the data and interface definitions look for the two objects:

class Contact {
public:
Contact(std::string& f, std::string& l, std::string& n);
private:
std::string firstName, lastName;
std::string number;
};

class AddressBook {
public:
void AddContact(std::string& f, std::string& l, std::string& n);
void DumpContacts(void);
private:
int rev;
std::string Owner;
std::vector<Contact> Entries;
};

OI can introspect objects at specific points in an application:

  • Function arguments upon entry to a function.
  • Function arguments upon return to a function.
  • The return value from a function.
  • This `this` pointer at entry or return from an object method.
  • Global objects.

Let's get started by introspecting an object using its this pointer.

+ + + + \ No newline at end of file diff --git a/docs/addrbook-this.html b/docs/addrbook-this.html new file mode 100644 index 0000000..e6272d5 --- /dev/null +++ b/docs/addrbook-this.html @@ -0,0 +1,24 @@ + + + + + +this pointers | Object Introspection + + + + + + + + + + + + +
+

this pointers

We specify exactly which function and arguments are to be introspected through a probe specification (terminology borrowed from DTrace). It's simply a colon delimited tuple that specifies exactly what object we are interested in and where in the code we want to observe it. For example, to introspect the AddressBook object we can measure it at the entry to its DumpContacts() method and the specification would be:

    entry:_ZN11AddressBook12DumpContactsEv:this

There are a few points to note here:

  • We are using the AddressBook::DumpContacts method. Note that we specify the function name using the mangled C++ name which can be found using readelf -sW /path/to/binary | grep symbol.
  • We are introspecting the object itself through the this specifier.
  • We are introspecting on entry to the method but we could have chosen to introspect the object the object at the return point from the AddressBook::DumpContacts() method which would be useful if state had been altered during execution of he method.

We use the oid debugger to capture the object itself from the address book application. Every second a contact is added to the address book with the AddContact() method and the address book is dumped with the DumpContacts() method. After running for a minute or so let's capture the Address book object:

$ build/oid -S 'entry:_ZN11AddressBook12DumpContactsEv:this' -p `pgrep addrbook` -c build/oid-cfg.toml -J
Attached to pid 4039830
SUCCESS

The -J flag instructed oid to dump the captured objects introspection data in a JSON file:

$ ~/object-introspection# ls -l oid_out.json
-rw-r--r-- 1 root root 78975 Dec 16 20:35 oid_out.json

This is a simple object but the resulting JSON becomes quite large when more than a handful of contacts have been added. Let's examine some sections to see what we can glean about the object that has been captured:

$ jq . oid_out.json
[
{
"name": "this",
"typePath": "this",
"typeName": "AddressBook",
"isTypedef": false,
"staticSize": 64,
"dynamicSize": 23185,
"paddingSavingsSize": 4,
"members": [

The root type is an AddressBook object as we'd expect and it has a static footprint of 64 bytes with its data members in total having a dynamic memory footprint of 23185 bytes.

The first member is simply an integer for the rev data member which has a 4 byte static memory footprint on this platform.

    "members": [
{
"name": "rev",
"typePath": "rev",
"typeName": "int",
"isTypedef": false,
"staticSize": 4,
"dynamicSize": 0
},

Next we have a std::string object for the top level Owner member. Note how this is expanded down to the base types which show the string has a static footprint of 32 bytes but we can see that it is empty as it has a dynamicSize of 0. The capacity of 15 bytes shows the Short String optimization buffer in a libstdc++ std::string object.

      {
"name": "Owner",
"typePath": "Owner",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 0,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::alloca
tor<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 0,
"length": 0,
"capacity": 15,
"elementStaticSize": 1
}
]
},

The Entries member gets a bit more interesting as it introduces usage of a C++ container class, the std::vector. More accurately, it is a vector of Contact objects as can be seen in the typeName JSON member for the root of the Entries object shown below. Note that the vector currently has an allocated capacity of 128 Contact elements of which 71 are actual Contact objects. The 23185 bytes of dynamically allocated objects in the vector is composed of the 71 x 96 byte Contact objects plus whatever memory that has been dynamically allocated for string content in those objects:

      {
"name": "Entries",
"typePath": "Entries",
"typeName": "vector<Contact, std::allocator<Contact> >",
"isTypedef": false,
"staticSize": 24,
"dynamicSize": 23185,
"pointer": 140720550450568,
"length": 71,
"capacity": 128,
"elementStaticSize": 96,

For the sake of brevity let's just inspect the first Contact object shown below. It's static footprint at 96 bytes is the three strings at 32 bytes each. We can see that the first and third string have strings larger than the 15 bytes allocated for the short string optimization buffer and are therefore allocated in dynamic memory that is external to the string objects themselves. The second string has no dynamic memory allocated as the 14 byte character sequence it is housing fits within the 15 byte pre-allocated buffer:


"members": [
{
"name": "",
"typePath": "Contact[]",
"typeName": "Contact",
"isTypedef": false,
"staticSize": 96,
"dynamicSize": 65,
"members": [
{
"name": "firstName",
"typePath": "firstName",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 35,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::allocator<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 35,
"length": 35,
"capacity": 35,
"elementStaticSize": 1
}
]
},
{
"name": "lastName",
"typePath": "lastName",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 0,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::allocator<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 0,
"length": 14,
"capacity": 15,
"elementStaticSize": 1
}
]
},
{
"name": "number",
"typePath": "number",
"typeName": "string",
"isTypedef": true,
"staticSize": 32,
"dynamicSize": 30,
"members": [
{
"name": "",
"typePath": "",
"typeName": "basic_string<char, std::char_traits<char>, std::allocator<char> >",
"isTypedef": false,
"staticSize": 32,
"dynamicSize": 30,
"length": 18,
"capacity": 30,
"elementStaticSize": 1
}
]
}

In total we have 71 Contact objects introspected here and each can be analyzed as we have done above:

$ ~/object-introspection# jq . /tmp/oit.oit.json.fmt | grep -c "\"typeName\": \"Contact\""
71
+ + + + \ No newline at end of file diff --git a/docs/constraints.html b/docs/constraints.html new file mode 100644 index 0000000..7799c63 --- /dev/null +++ b/docs/constraints.html @@ -0,0 +1,24 @@ + + + + + +Limitations and Constraints | Object Introspection + + + + + + + + + + + + +
+

Limitations and Constraints

OI has been initially designed for use within Meta and therefore some of its current implementation may present challenges for you in your environment. We'd love to hear from you about what you need supporting and how any limitations effect you so please feel free to create issues on GitHub or tell us directly on Matrix or IRC.

Current known limitations and constraints:

  • Statically linked binaries only.
  • Split Debug DWARF not currently supported (planned).
  • C style unions not supported.
  • Only supported architecture is x86-64.
  • Only single probe specifications allowed in an oid invocation
  • Virtual inheritance support
  • Template specialization support
  • Pluggable container support
+ + + + \ No newline at end of file diff --git a/docs/contributing.html b/docs/contributing.html new file mode 100644 index 0000000..193d5ca --- /dev/null +++ b/docs/contributing.html @@ -0,0 +1,24 @@ + + + + + +Contributing | Object Introspection + + + + + + + + + + + + +
+

Contributing

We welcome contributions from the community! If you're looking for an idea then feel free to pick one of the open issues on GitHub. Feel free to drop by the object-introspection chat rooms (Matrix/IRC).

+ + + + \ No newline at end of file diff --git a/docs/getting-started.html b/docs/getting-started.html new file mode 100644 index 0000000..5265893 --- /dev/null +++ b/docs/getting-started.html @@ -0,0 +1,24 @@ + + + + + +Getting Started | Object Introspection + + + + + + + + + + + + +
+

Getting Started

Dependencies

First ensure your system has all the dependencies installed. We have tested on Ubuntu 22.04.01 (Jammy) OpenSuse and Fedora 37 and the dependencies are listed below. Please let us know if you have issues with these or any other Linux repos and we'll do our best to look into it.

Ubuntu 22.04.1 (Jammy)

$ sudo apt-get update
$ sudo apt-get install -y bison autopoint build-essential clang-12 cmake flex gawk libboost-all-dev libbz2-dev libcap2-bin libclang-12-dev libcurl4-gnutls-dev libdouble-conversion-dev libdw-dev libfmt-dev libgflags-dev libgmock-dev libgoogle-glog-dev libgtest-dev libjemalloc-dev libmsgpack-dev libzstd-dev llvm-12-dev ninja-build pkg-config python3-setuptools sudo xsltproc libboost-all-dev
$ sudo pip3 install toml
$ cmake -G Ninja -B build/ -DWITH_TESTS=On

OpenSuse Tumbleweed

$ sudo zypper in git ninja cmake llvm12-devel clang12-devel binutils-gold gcc gcc-c++ libcap-progs sudo gflags-devel-static gflags-devel bison libboost_{system,filesystem,thread,regex,serialization}-devel msgpack-c-devel libzstd-devel flex gtest gmock python3-toml python3-devel python3-setuptools gettext-tools findutils zlib-devel libcurl-devel libbz2-devel libdw-devel libdwarf-devel jemalloc-devel msgpack-cxx-devel double-conversion-devel fmt-devel
$ sudo apt install libdw-dev libclang-dev llvm-dev libboost-all-dev libgtest-dev libbz2-dev libgflags-dev libzstd-dev libcurl4-gnutls-dev ninja-build python3-toml

It seems like static versions of clang/llvm are not packaged in opensuse, but we default to looking for the static versions. To fix this, please add the following to your cmake generation command below.

-DFORCE_BOOST_STATIC=Off -DFORCE_LLVM_STATIC=Off

Fedora 37

$ sudo dnf install boost-static elfutils-devel clang clang12-devel llvm12-devel llvm12-static gtest-devel gflags-devel gmock-devel cmake autoconf automake libtool python3-devel bzip2-devel fmt-devel gettext-devel libcurl-devel ninja-build python3-toml bison bison-devel flex msgpack-devel jemalloc-devel double-conversion-static
$ cmake -G Ninja -B build/ -DLLVM_DIR=/usr/lib64/llvm12/lib/cmake/llvm -DClang_DIR=/usr/lib64/llvm12/lib/cmake/clang -DFORCE_LLVM_STATIC=Off

Clone the OI repo:

$ git clone git@github.com:facebookexperimental/object-introspection.git
Cloning into 'object-introspection'...
remote: Enumerating objects: 8694, done.
remote: Counting objects: 100% (116/116), done.
remote: Compressing objects: 100% (93/93), done.
remote: Total 8694 (delta 36), reused 69 (delta 19), pack-reused 8578
Receiving objects: 100% (8694/8694), 2.60 MiB | 4.59 MiB/s, done.
Resolving deltas: 100% (6339/6339), done.

Compile and run tests

Now compile the oid binary:

$ cd object-introspection/
$ cmake --build build/ -j
$ ~/object-introspection# ls -l build/oid
-rwxr-xr-x 1 root root 86818272 Dec 16 18:08 build/oid

OI needs a system specific configuration file generating so do that now using the tools/config_gen.py script:

$ ~/object-introspection# tools/config_gen.py -c clang++-12 build/oid-cfg.toml
$ ls -l build/oid-cfg.toml
-rw-r--r-- 1 root root 2978 Dec 16 18:18 build/oid-cfg.toml

You're now ready to introspect objects!

+ + + + \ No newline at end of file diff --git a/docs/intro.html b/docs/intro.html new file mode 100644 index 0000000..8b37657 --- /dev/null +++ b/docs/intro.html @@ -0,0 +1,24 @@ + + + + + +Introduction | Object Introspection + + + + + + + + + + + + +
+

Introduction

Object Introspection (shortened to OI and pronounced as in boy) is a memory profiling technology for C++ objects. It provides the ability to dynamically instrument applications to capture the precise memory occupancy of entire object hierarchies including all containers and dynamic allocations. All this with no code modification or recompilation!

How does it do this?

In lieu of more detailed documentation (outside of the code obviously!) here is a brief description of the OI technology. There is a core technology and two different flavors of how it can actually be consumed: a hands-off classic debugger style technology that controls a target process called oid and an API called OIL that provides programmatic object introspection.

Type reconstruction: A C++ object is described in detail by the debug data generated generated by a compiler (the -g flag with the clang and gcc compiler toolchains) and OI consumes DWARF debug data to reconstruct types from a generated binary. Given a known root type we fully reconstruct the entire type hierarchy including all the descendant types - think of an object as a tree of types that is rooted at a known base type.

Code Generation: We then iterate over the type tree to auto-generate C++ code to perform operations on each node on the tree. For example, if we have a std::vector of std::string objects then we know that a vector has an iterator and a strings dynamic size can be measured with it's size() method (individual containers have space optimization schemes such as Short String Optimization for strings which we take into account).

JIT Compilation: The auto-generated C++ code is then JIT compiled into x86-64 object code. Depending upon how we are using OI technology this object code is then relocated for the address space of a target process (oid) or it is ready to be executed directly (OIL).

Dynamic Instrumentation: The generated object code is copied into a dedicated text segment in the target process ready for execution. Standard text modification techniques are employed to hijack threads at specific points in program execution - these locations are specified by the user. The hijacked thread is then redirected to execute the object code for a specific object. Introspection results are written to a dedicated text segment in the target process during execution of the introspection code.

Object Processing: Data generated from the object introspection process is then copied out of the target address space by the oid debugger and processed. This includes reconstructing the entire object tree for the captured data and attributing results correctly.

The above is a very high level view of the basic implementation but there are many more aspects which we hope you'll be interested in. Please bear in mind that this is very much a work-in-progress and the initial design and implementation fits the specific needs of Meta. Our experience is that OI has opened up many new and exciting ways of viewing our application memory footprints in live applications and we hope it can do the same for you. However, please check out the current constraints to see whether you can make use of OI currently and please let us know of your requirements if not (please feel free to contribute!).

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+ +Powered by React diff --git a/img/undraw_docusaurus_tree.svg b/img/undraw_docusaurus_tree.svg new file mode 100644 index 0000000..d9161d3 --- /dev/null +++ b/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/index.html b/index.html new file mode 100644 index 0000000..49c4067 --- /dev/null +++ b/index.html @@ -0,0 +1,24 @@ + + + + + +Hello from Object Introspection | Object Introspection + + + + + + + + + + + + +
+

Object Introspection

Dynamic C++ Object Profiling

Byte Accurate

Byte Accurate

Object Introspection provides byte accurate memory occupancy information for arbitrarily complex C++ object hierarchies including all static and dynamic memory allocations in an object.

Live Applications

Live Applications

Introspect objects in live, production applications with no source modification or recompilation. DWARF debug data powers the reconstruction of object types.

Debugger and API

Debugger and API

The technology provides a hands-off classical debugger style application for introspecting live applications and an API to provide programmatic interfaces to an object. Use whatever approach fits your needs!

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+

Markdown page example

You don't need React to write simple standalone pages.

+ + + + \ No newline at end of file diff --git a/site.webmanifest b/site.webmanifest new file mode 100644 index 0000000..85d1f87 --- /dev/null +++ b/site.webmanifest @@ -0,0 +1,19 @@ +{ + "name": "Object Introspection", + "short_name": "Object Introspection", + "icons": [ + { + "src": "/android-chrome-192x192.png", + "sizes": "192x192", + "type": "image/png" + }, + { + "src": "/android-chrome-512x512.png", + "sizes": "512x512", + "type": "image/png" + } + ], + "theme_color": "#ffffff", + "background_color": "#ffffff", + "display": "standalone" +} diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..7607307 --- /dev/null +++ b/sitemap.xml @@ -0,0 +1 @@ +https://facebookexperimental.github.io/object-introspection/markdown-pageweekly0.5https://facebookexperimental.github.io/object-introspection/docs/addrbook-funcargsweekly0.5https://facebookexperimental.github.io/object-introspection/docs/addrbook-introweekly0.5https://facebookexperimental.github.io/object-introspection/docs/addrbook-thisweekly0.5https://facebookexperimental.github.io/object-introspection/docs/constraintsweekly0.5https://facebookexperimental.github.io/object-introspection/docs/contributingweekly0.5https://facebookexperimental.github.io/object-introspection/docs/getting-startedweekly0.5https://facebookexperimental.github.io/object-introspection/docs/introweekly0.5https://facebookexperimental.github.io/object-introspection/weekly0.5 \ No newline at end of file