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Add the beginnings of documentation for the Name Accelerator Tables.

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Based on a writeup originally by Greg Clayton.

Abuse div and pre tags horribly. Needs a bit more cleanup.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@152093 91177308-0d34-0410-b5e6-96231b3b80d8
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Eric Christopher 2012-03-06 02:25:38 +00:00
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@ -63,7 +63,14 @@
<li><a href="#objcpropertynewattributes">New DWARF Attributes</a></li>
<li><a href="#objcpropertynewconstants">New DWARF Constants</a></li>
</ul>
<li><a href="#acceltable">Name Accelerator Tables</a></li>
<ul>
<li><a href="#acceltableintroduction">Introduction</a></li>
<li><a href="#acceltablehashes">Hash Tables</a></li>
<li><a href="#acceltabledetails">Details</a></li>
<li><a href="#acceltablecontents">Contents</a></li>
<li><a href="#acceltableextensions">Language Extensions and File Format Changes</a></li>
</ul>
</ol>
</li>
</ul>
@ -2116,6 +2123,661 @@ The DWARF for this would be:
</div>
</div>
<div>
<!-- ======================================================================= -->
<h3>
<a name="acceltable">Name Accelerator Tables</a>
</h3>
<!-- ======================================================================= -->
<!-- ======================================================================= -->
<h4>
<a name="acceltableintro">Introduction</a>
</h4>
<!-- ======================================================================= -->
<div>
<p>The .debug_pubnames and .debug_pubtypes formats are not what a debugger
needs. The "pub" in the section name indicates that the entries in the
table are publicly visible names only. This means no static or hidden
functions show up in the .debug_pubnames. No static variables or private class
variables are in the .debug_pubtypes. Many compilers add different things to
these tables, so we can't rely upon the contents between gcc, icc, or clang.
<p>The typical query given by users tends not to match up with the contents of
these tables. For example, the DWARF spec states that "In the case of the
name of a function member or static data member of a C++ structure, class or
union, the name presented in the .debug_pubnames section is not the simple
name given by the DW_AT_name attribute of the referenced debugging information
entry, but rather the fully qualified name of the data or function member."
So the only names in these tables for complex C++ entries is a fully
qualified name. Debugger users tend not to enter their search strings as
"a::b::c(int,const Foo&) const", but rather as "c", "b::c" , or "a::b::c". So
the name entered in the name table must be demangled in order to chop it up
appropriately and additional names must be manually entered into the table
to make it effective as a name lookup table for debuggers to use.
<p>All debuggers currently ignore the .debug_pubnames table as a result of
its inconsistent and useless public-only name content making it a waste of
space in the object file. These tables, when they are written to disk, are
not sorted in any way, leaving every debugger to do its own parsing
and sorting. These tables also include an inlined copy of the string values
in the table itself making the tables much larger than they need to be on
disk, especially for large C++ programs.
<p>Can't we just fix the sections by adding all of the names we need to this
table? No, because that is not what the tables are defined to contain and we
won't know the difference between the old bad tables and the new good tables.
At best we could make our own renamed sections that contain all of the data
we need.
<p>These tables are also insufficient for what a debugger like LLDB needs.
LLDB uses clang for its expression parsing where LLDB acts as a PCH. LLDB is
then often asked to look for type "foo" or namespace "bar", or list items in
namespace "baz". Namespaces are not included in the pubnames or pubtypes
tables. Since clang asks a lot of questions when it is parsing an expression,
we need to be very fast when looking up names, as it happens a lot. Having new
accelerator tables that are optimized for very quick lookups will benefit
this type of debugging experience greatly.
<p>We would like to generate name lookup tables that can be mapped into
memory from disk, and used as is, with little or no up-front parsing. We would
also be able to control the exact content of these different tables so they
contain exactly what we need. The Name Accelerator Tables were designed
to fix these issues. In order to solve these issues we need to:
<ul>
<li>Have a format that can be mapped into memory from disk and used as is</li>
<li>Lookups should be very fast</li>
<li>Extensible table format so these tables can be made by many producers</li>
<li>Contain all of the names needed for typical lookups out of the box</li>
<li>Strict rules for the contents of tables</li>
</ul>
<p>Table size is important and the accelerator table format should allow the
reuse of strings from common string tables so the strings for the names are
not duplicated. We also want to make sure the table is ready to be used as-is
by simply mapping the table into memory with minimal header parsing.
<p>The name lookups need to be fast and optimized for the kinds of lookups
that debuggers tend to do. Optimally we would like to touch as few parts of
the mapped table as possible when doing a name lookup and be able to quickly
find the name entry we are looking for, or discover there are no matches. In
the case of debuggers we optimized for lookups that fail most of the time.
<p>Each table that is defined should have strict rules on exactly what is in
the accelerator tables and documented so clients can rely on the content.
</div>
<!-- ======================================================================= -->
<h4>
<a name="acceltablehashes">Hash Tables</a>
</h4>
<!-- ======================================================================= -->
<div>
<h5>Standard Hash Tables</h5>
<p>Typical hash tables have a header, buckets, and each bucket points to the
bucket contents:
<div class="doc_code">
<pre>
.------------.
| HEADER |
|------------|
| BUCKETS |
|------------|
| DATA |
`------------'
</pre>
</div>
<p>The BUCKETS are an array of offsets to DATA for each hash:
<div class="doc_code">
<pre>
.------------.
| 0x00001000 | BUCKETS[0]
| 0x00002000 | BUCKETS[1]
| 0x00002200 | BUCKETS[2]
| 0x000034f0 | BUCKETS[3]
| | ...
| 0xXXXXXXXX | BUCKETS[n_buckets]
'------------'
</pre>
</div>
<p>So for bucket[3] in the example above, we have an offset into the table
0x000034f0 which points to a chain of entries for the bucket. Each bucket
must contain a next pointer, full 32 bit hash value, the string itself,
and the data for the current string value.
<div class="doc_code">
<pre>
.------------.
0x000034f0: | 0x00003500 | next pointer
| 0x12345678 | 32 bit hash
| "erase" | string value
| data[n] | HashData for this bucket
|------------|
0x00003500: | 0x00003550 | next pointer
| 0x29273623 | 32 bit hash
| "dump" | string value
| data[n] | HashData for this bucket
|------------|
0x00003550: | 0x00000000 | next pointer
| 0x82638293 | 32 bit hash
| "main" | string value
| data[n] | HashData for this bucket
`------------'
</pre>
</div>
<p>The problem with this layout for debuggers is that we need to optimize for
the negative lookup case where the symbol we're searching for is not present.
So if we were to lookup "printf" in the table above, we would make a 32 hash
for "printf", it might match bucket[3]. We would need to go to the offset
0x000034f0 and start looking to see if our 32 bit hash matches. To do so, we
need to read the next pointer, then read the hash, compare it, and skip to
the next bucket. Each time we are skipping many bytes in memory and touching
new cache pages just to do the compare on the full 32 bit hash. All of these
accesses then tell us that we didn't have a match.
<h5>Name Hash Tables</h5>
<p>To solve the issues mentioned above we have structured the hash tables
a bit differently: a header, buckets, an array of all unique 32 bit hash
values, followed by an array of hash value data offsets, one for each hash
value, then the data for all hash values:
<div class="doc_code">
<pre>
.-------------.
| HEADER |
|-------------|
| BUCKETS |
|-------------|
| HASHES |
|-------------|
| OFFSETS |
|-------------|
| DATA |
`-------------'
</pre>
</div>
<p>The BUCKETS in the Apple tables is an index into the HASHES array. By
making all of the full 32 bit hash values contiguous in memory, we allow
ourselves to efficiently check for a match while touching as little
memory as possible. Most often, checking the 32 bit hash values is as far as
the lookup goes. If it does match, it usually is a match with no collisions.
So for a table with "n_buckets" buckets, and "n_hashes" unique 32 bit hash
values, we can clarify the contents of the BUCKETS, HASHES and OFFSETS as:
<div class="doc_code">
<pre>
.-------------------------.
| HEADER.magic | uint32_t
| HEADER.version | uint16_t
| HEADER.hash_function | uint16_t
| HEADER.bucket_count | uint32_t
| HEADER.hashes_count | uint32_t
| HEADER.header_data_len | uint32_t
| HEADER_DATA | HeaderData
|-------------------------|
| BUCKETS | uint32_t[n_buckets] // 32 bit hash indexes
|-------------------------|
| HASHES | uint32_t[n_buckets] // 32 bit hash values
|-------------------------|
| OFFSETS | uint32_t[n_buckets] // 32 bit offsets to hash value data
|-------------------------|
| ALL HASH DATA |
`-------------------------'
</pre>
</div>
<p>So taking the exact same data from the standard hash example above we end up
with:
<div class="doc_code">
<pre>
.------------.
| HEADER |
|------------|
| 0 | BUCKETS[0]
| 2 | BUCKETS[1]
| 5 | BUCKETS[2]
| 6 | BUCKETS[3]
| | ...
| ... | BUCKETS[n_buckets]
|------------|
| 0x........ | HASHES[0]
| 0x........ | HASHES[1]
| 0x........ | HASHES[2]
| 0x........ | HASHES[3]
| 0x........ | HASHES[4]
| 0x........ | HASHES[5]
| 0x12345678 | HASHES[6] hash for BUCKETS[3]
| 0x29273623 | HASHES[7] hash for BUCKETS[3]
| 0x82638293 | HASHES[8] hash for BUCKETS[3]
| 0x........ | HASHES[9]
| 0x........ | HASHES[10]
| 0x........ | HASHES[11]
| 0x........ | HASHES[12]
| 0x........ | HASHES[13]
| 0x........ | HASHES[n_hashes]
|------------|
| 0x........ | OFFSETS[0]
| 0x........ | OFFSETS[1]
| 0x........ | OFFSETS[2]
| 0x........ | OFFSETS[3]
| 0x........ | OFFSETS[4]
| 0x........ | OFFSETS[5]
| 0x000034f0 | OFFSETS[6] offset for BUCKETS[3]
| 0x00003500 | OFFSETS[7] offset for BUCKETS[3]
| 0x00003550 | OFFSETS[8] offset for BUCKETS[3]
| 0x........ | OFFSETS[9]
| 0x........ | OFFSETS[10]
| 0x........ | OFFSETS[11]
| 0x........ | OFFSETS[12]
| 0x........ | OFFSETS[13]
| 0x........ | OFFSETS[n_hashes]
|------------|
| |
| |
| |
| |
| |
|------------|
0x000034f0: | 0x00001203 | .debug_str ("erase")
| 0x00000004 | A 32 bit array count - number of HashData with name "erase"
| 0x........ | HashData[0]
| 0x........ | HashData[1]
| 0x........ | HashData[2]
| 0x........ | HashData[3]
| 0x00000000 | String offset into .debug_str (terminate data for hash)
|------------|
0x00003500: | 0x00001203 | String offset into .debug_str ("collision")
| 0x00000002 | A 32 bit array count - number of HashData with name "collision"
| 0x........ | HashData[0]
| 0x........ | HashData[1]
| 0x00001203 | String offset into .debug_str ("dump")
| 0x00000003 | A 32 bit array count - number of HashData with name "dump"
| 0x........ | HashData[0]
| 0x........ | HashData[1]
| 0x........ | HashData[2]
| 0x00000000 | String offset into .debug_str (terminate data for hash)
|------------|
0x00003550: | 0x00001203 | String offset into .debug_str ("main")
| 0x00000009 | A 32 bit array count - number of HashData with name "main"
| 0x........ | HashData[0]
| 0x........ | HashData[1]
| 0x........ | HashData[2]
| 0x........ | HashData[3]
| 0x........ | HashData[4]
| 0x........ | HashData[5]
| 0x........ | HashData[6]
| 0x........ | HashData[7]
| 0x........ | HashData[8]
| 0x00000000 | String offset into .debug_str (terminate data for hash)
`------------'
</pre>
</div>
<p>So we still have all of the same data, we just organize it more efficiently
for debugger lookup. If we repeat the same "printf" lookup from above, we
would hash "printf" and find it matches BUCKETS[3] by taking the 32 bit hash
value and modulo it by n_buckets. BUCKETS[3] contains "6" which is the index
into the HASHES table. We would then compare any consecutive 32 bit hashes
values in the HASHES array as long as the hashes would be in BUCKETS[3]. We
do this by verifying that each subsequent hash value modulo n_buckets is still
3. In the case of a failed lookup we would access the memory for BUCKETS[3], and
then compare a few consecutive 32 bit hashes before we know that we have no match.
We don't end up marching through multiple words of memory and we really keep the
number of processor data cache lines being accessed as small as possible.
<p>The string hash that is used for these lookup tables is the Daniel J.
Bernstein hash which is also used in the ELF GNU_HASH sections. It is a very
good hash for all kinds of names in programs with very few hash collisions.
<p>Empty buckets are designated by using an invalid hash index of UINT32_MAX.
</div>
<!-- ======================================================================= -->
<h4>
<a name="acceltabledetails">Details</a>
</h4>
<!-- ======================================================================= -->
<div>
<p>These name hash tables are designed to be generic where specializations of
the table get to define additional data that goes into the header
("HeaderData"), how the string value is stored ("KeyType") and the content
of the data for each hash value.
<h5>Header Layout</h5>
<p>The header has a fixed part, and the specialized part. The exact format of
the header is:
<div class="doc_code">
<pre>
struct Header
{
uint32_t magic; // 'HASH' magic value to allow endian detection
uint16_t version; // Version number
uint16_t hash_function; // The hash function enumeration that was used
uint32_t bucket_count; // The number of buckets in this hash table
uint32_t hashes_count; // The total number of unique hash values and hash data offsets in this table
uint32_t header_data_len; // The bytes to skip to get to the hash indexes (buckets) for correct alignment
// Specifically the length of the following HeaderData field - this does not
// include the size of the preceding fields
HeaderData header_data; // Implementation specific header data
};
</pre>
</div>
<p>The header starts with a 32 bit "magic" value which must be 'HASH' encoded as
an ASCII integer. This allows the detection of the start of the hash table and
also allows the table's byte order to be determined so the table can be
correctly extracted. The "magic" value is followed by a 16 bit version number
which allows the table to be revised and modified in the future. The current
version number is 1. "hash_function" is a uint16_t enumeration that specifies
which hash function was used to produce this table. The current values for the
hash function enumerations include:
<div class="doc_code">
<pre>
enum HashFunctionType
{
eHashFunctionDJB = 0u, // Daniel J Bernstein hash function
};
</pre>
</div>
<p>"bucket_count" is a 32 bit unsigned integer that represents how many buckets
are in the BUCKETS array. "hashes_count" is the number of unique 32 bit hash
values that are in the HASHES array, and is the same number of offsets are
contained in the OFFSETS array. "header_data_len" specifies the size in
bytes of the HeaderData that is filled in by specialized versions of this
table.
<h5>Fixed Lookup</h5>
<p>The header is followed by the buckets, hashes, offsets, and hash value
data.
<div class="doc_code">
<pre>
struct FixedTable
{
uint32_t buckets[Header.bucket_count]; // An array of hash indexes into the "hashes[]" array below
uint32_t hashes [Header.hashes_count]; // Every unique 32 bit hash for the entire table is in this table
uint32_t offsets[Header.hashes_count]; // An offset that corresponds to each item in the "hashes[]" array above
};
</pre>
</div>
<p>"buckets" is an array of 32 bit indexes into the "hashes" array. The
"hashes" array contains all of the 32 bit hash values for all names in the
hash table. Each hash in the "hashes" table has an offset in the "offsets"
array that points to the data for the hash value.
<p>This table setup makes it very easy to repurpose these tables to contain
different data, while keeping the lookup mechanism the same for all tables.
This layout also makes it possible to save the table to disk and map it in
later and do very efficient name lookups with little or no parsing.
<p>DWARF lookup tables can be implemented in a variety of ways and can store
a lot of information for each name. We want to make the DWARF tables
extensible and able to store the data efficiently so we have used some of the
DWARF features that enable efficient data storage to define exactly what kind
of data we store for each name.
<p>The "HeaderData" contains a definition of the contents of each HashData
chunk. We might want to store an offset to all of the debug information
entries (DIEs) for each name. To keep things extensible, we create a list of
items, or Atoms, that are contained in the data for each name. First comes the
type of the data in each atom:
<div class="doc_code">
<pre>
enum AtomType
{
eAtomTypeNULL = 0u,
eAtomTypeDIEOffset = 1u, // DIE offset, check form for encoding
eAtomTypeCUOffset = 2u, // DIE offset of the compiler unit header that contains the item in question
eAtomTypeTag = 3u, // DW_TAG_xxx value, should be encoded as DW_FORM_data1 (if no tags exceed 255) or DW_FORM_data2
eAtomTypeNameFlags = 4u, // Flags from enum NameFlags
eAtomTypeTypeFlags = 5u, // Flags from enum TypeFlags
};
</pre>
</div>
<p>The enumeration values and their meanings are:
<div class="doc_code">
<pre>
eAtomTypeNULL - a termination atom that specifies the end of the atom list
eAtomTypeDIEOffset - an offset into the .debug_info section for the DWARF DIE for this name
eAtomTypeCUOffset - an offset into the .debug_info section for the CU that contains the DIE
eAtomTypeDIETag - The DW_TAG_XXX enumeration value so you don't have to parse the DWARF to see what it is
eAtomTypeNameFlags - Flags for functions and global variables (isFunction, isInlined, isExternal...)
eAtomTypeTypeFlags - Flags for types (isCXXClass, isObjCClass, ...)
</pre>
</div>
<p>Then we allow each atom type to define the atom type and how the data for
each atom type data is encoded:
<div class="doc_code">
<pre>
struct Atom
{
uint16_t type; // AtomType enum value
uint16_t form; // DWARF DW_FORM_XXX defines
};
</pre>
</div>
<p>The "form" type above is from the DWARF specification and defines the
exact encoding of the data for the Atom type. See the DWARF specification for
the DW_FORM_ definitions.
<div class="doc_code">
<pre>
struct HeaderData
{
uint32_t die_offset_base;
uint32_t atom_count;
Atoms atoms[atom_count0];
};
</pre>
</div>
<p>"HeaderData" defines the base DIE offset that should be added to any atoms
that are encoded using the DW_FORM_ref1, DW_FORM_ref2, DW_FORM_ref4,
DW_FORM_ref8 or DW_FORM_ref_udata. It also defines what is contained in
each "HashData" object -- Atom.form tells us how large each field will be in
the HashData and the Atom.type tells us how this data should be interpreted.
<p>For the current implementations of the ".apple_names" (all functions + globals),
the ".apple_types" (names of all types that are defined), and the
".apple_namespaces" (all namespaces), we currently set the Atom array to be:
<div class="doc_code">
<pre>
HeaderData.atom_count = 1;
HeaderData.atoms[0].type = eAtomTypeDIEOffset;
HeaderData.atoms[0].form = DW_FORM_data4;
</pre>
</div>
<p>This defines the contents to be the DIE offset (eAtomTypeDIEOffset) that is
encoded as a 32 bit value (DW_FORM_data4). This allows a single name to have
multiple matching DIEs in a single file, which could come up with an inlined
function for instance. Future tables could include more information about the
DIE such as flags indicating if the DIE is a function, method, block,
or inlined.
<p>The KeyType for the DWARF table is a 32 bit string table offset into the
".debug_str" table. The ".debug_str" is the string table for the DWARF which
may already contain copies of all of the strings. This helps make sure, with
help from the compiler, that we reuse the strings between all of the DWARF
sections and keeps the hash table size down. Another benefit to having the
compiler generate all strings as DW_FORM_strp in the debug info, is that
DWARF parsing can be made much faster.
<p>After a lookup is made, we get an offset into the hash data. The hash data
needs to be able to deal with 32 bit hash collisions, so the chunk of data
at the offset in the hash data consists of a triple:
<div class="doc_code">
<pre>
uint32_t str_offset
uint32_t hash_data_count
HashData[hash_data_count]
</pre>
</div>
<p>If "str_offset" is zero, then the bucket contents are done. 99.9% of the
hash data chunks contain a single item (no 32 bit hash collision):
<div class="doc_code">
<pre>
.------------.
| 0x00001023 | uint32_t KeyType (.debug_str[0x0001023] => "main")
| 0x00000004 | uint32_t HashData count
| 0x........ | uint32_t HashData[0] DIE offset
| 0x........ | uint32_t HashData[1] DIE offset
| 0x........ | uint32_t HashData[2] DIE offset
| 0x........ | uint32_t HashData[3] DIE offset
| 0x00000000 | uint32_t KeyType (end of hash chain)
`------------'
</pre>
</div>
<p>If there are collisions, you will have multiple valid string offsets:
<div class="doc_code">
<pre>
.------------.
| 0x00001023 | uint32_t KeyType (.debug_str[0x0001023] => "main")
| 0x00000004 | uint32_t HashData count
| 0x........ | uint32_t HashData[0] DIE offset
| 0x........ | uint32_t HashData[1] DIE offset
| 0x........ | uint32_t HashData[2] DIE offset
| 0x........ | uint32_t HashData[3] DIE offset
| 0x00002023 | uint32_t KeyType (.debug_str[0x0002023] => "print")
| 0x00000002 | uint32_t HashData count
| 0x........ | uint32_t HashData[0] DIE offset
| 0x........ | uint32_t HashData[1] DIE offset
| 0x00000000 | uint32_t KeyType (end of hash chain)
`------------'
</pre>
</div>
<p>Current testing with real world C++ binaries has shown that there is around 1
32 bit hash collision per 100,000 name entries.
</div>
<!-- ======================================================================= -->
<h4>
<a name="acceltablecontents">Contents</a>
</h4>
<!-- ======================================================================= -->
<div>
<p>As we said, we want to strictly define exactly what is included in the
different tables. For DWARF, we have 3 tables: ".apple_names", ".apple_types",
and ".apple_namespaces".
<p>".apple_names" sections should contain an entry for each DWARF DIE whose
DW_TAG is a DW_TAG_label, DW_TAG_inlined_subroutine, or DW_TAG_subprogram that
has address attributes: DW_AT_low_pc, DW_AT_high_pc, DW_AT_ranges or
DW_AT_entry_pc. It also contains DW_TAG_variable DIEs that have a DW_OP_addr
in the location (global and static variables). All global and static variables
should be included, including those scoped withing functions and classes. For
example using the following code:
<div class="doc_code">
<pre>
static int var = 0;
void f ()
{
static int var = 0;
}
</pre>
</div>
<p>Both of the static "var" variables would be included in the table. All
functions should emit both their full names and their basenames. For C or C++,
the full name is the mangled name (if available) which is usually in the
DW_AT_MIPS_linkage_name attribute, and the DW_AT_name contains the function
basename. If global or static variables have a mangled name in a
DW_AT_MIPS_linkage_name attribute, this should be emitted along with the
simple name found in the DW_AT_name attribute.
<p>".apple_types" sections should contain an entry for each DWARF DIE whose
tag is one of:
<ul>
<li>DW_TAG_array_type</li>
<li>DW_TAG_class_type</li>
<li>DW_TAG_enumeration_type</li>
<li>DW_TAG_pointer_type</li>
<li>DW_TAG_reference_type</li>
<li>DW_TAG_string_type</li>
<li>DW_TAG_structure_type</li>
<li>DW_TAG_subroutine_type</li>
<li>DW_TAG_typedef</li>
<li>DW_TAG_union_type</li>
<li>DW_TAG_ptr_to_member_type</li>
<li>DW_TAG_set_type</li>
<li>DW_TAG_subrange_type</li>
<li>DW_TAG_base_type</li>
<li>DW_TAG_const_type</li>
<li>DW_TAG_constant</li>
<li>DW_TAG_file_type</li>
<li>DW_TAG_namelist</li>
<li>DW_TAG_packed_type</li>
<li>DW_TAG_volatile_type</li>
<li>DW_TAG_restrict_type</li>
<li>DW_TAG_interface_type</li>
<li>DW_TAG_unspecified_type</li>
<li>DW_TAG_shared_type</li>
</ul>
<p>Only entries with a DW_AT_name attribute are included, and the entry must
not be a forward declaration (DW_AT_declaration attribute with a non-zero value).
For example, using the following code:
<div class="doc_code">
<pre>
int main ()
{
int *b = 0;
return *b;
}
</pre>
</div>
<p>We get a few type DIEs:
<div class="doc_code">
<pre>
0x00000067: TAG_base_type [5]
AT_encoding( DW_ATE_signed )
AT_name( "int" )
AT_byte_size( 0x04 )
0x0000006e: TAG_pointer_type [6]
AT_type( {0x00000067} ( int ) )
AT_byte_size( 0x08 )
</pre>
</div>
<p>The DW_TAG_pointer_type is not included because it does not have a DW_AT_name.
<p>".apple_namespaces" section should contain all DW_TAG_namespace DIEs. If
we run into a namespace that has no name this is an anonymous namespace,
and the name should be output as "(anonymous namespace)" (without the quotes).
Why? This matches the output of the abi::cxa_demangle() that is in the standard
C++ library that demangles mangled names.
</div>
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<h4>
<a name="acceltableextensions">Language Extensions and File Format Changes</a>
</h4>
<!-- ======================================================================= -->
<div>
<h5>Objective-C Extensions</h5>
<p>".apple_objc" section should contain all DW_TAG_subprogram DIEs for an
Objective-C class. The name used in the hash table is the name of the
Objective-C class itself. If the Objective-C class has a category, then an
entry is made for both the class name without the category, and for the class
name with the category. So if we have a DIE at offset 0x1234 with a name
of method "-[NSString(my_additions) stringWithSpecialString:]", we would add
an entry for "NSString" that points to DIE 0x1234, and an entry for
"NSString(my_additions)" that points to 0x1234. This allows us to quickly
track down all Objective-C methods for an Objective-C class when doing
expressions. It is needed because of the dynamic nature of Objective-C where
anyone can add methods to a class. The DWARF for Objective-C methods is also
emitted differently from C++ classes where the methods are not usually
contained in the class definition, they are scattered about across one or more
compile units. Categories can also be defined in different shared libraries.
So we need to be able to quickly find all of the methods and class functions
given the Objective-C class name, or quickly find all methods and class
functions for a class + category name. This table does not contain any selector
names, it just maps Objective-C class names (or class names + category) to all
of the methods and class functions. The selectors are added as function
basenames in the .debug_names section.
<p>In the ".apple_names" section for Objective-C functions, the full name is the
entire function name with the brackets ("-[NSString stringWithCString:]") and the
basename is the selector only ("stringWithCString:").
<h5>Mach-O Changes</h5>
<p>The sections names for the apple hash tables are for non mach-o files. For
mach-o files, the sections should be contained in the "__DWARF" segment with
names as follows:
<ul>
<li>".apple_names" -> "__apple_names"</li>
<li>".apple_types" -> "__apple_types"</li>
<li>".apple_namespaces" -> "__apple_namespac" (16 character limit)</li>
<li> ".apple_objc" -> "__apple_objc"</li>
</ul>
</div>
</div>
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