Commit Graph

7 Commits

Author SHA1 Message Date
Bill Wendling 11eeeff24f Remove extraneous ';'s.
llvm-svn: 148740
2012-01-23 22:55:02 +00:00
Eric Christopher 21bde87bf3 As part of the ongoing work in finalizing the accelerator tables, extend
the debug type accelerator tables to contain the tag and a flag
stating whether or not a compound type is a complete type.

rdar://10652330

llvm-svn: 147651
2012-01-06 04:35:23 +00:00
Devang Patel fa4520968b Remove extra ';'
llvm-svn: 144172
2011-11-09 06:20:49 +00:00
Eric Christopher ff2edf1499 Move the hash function to using and taking a StringRef.
llvm-svn: 144024
2011-11-07 21:49:35 +00:00
Eric Christopher b6205d8b49 Simple destructor to delete the hash data we created earlier.
llvm-svn: 144023
2011-11-07 21:49:28 +00:00
Eric Christopher 4996c70034 Add the support code to enable the dwarf accelerator tables. Upcoming patches
to fix the types section (all types, not just global types), and testcases.

The code to do the final emission is disabled by default.

llvm-svn: 143923
2011-11-07 09:24:32 +00:00
Eric Christopher 6e47204b0c Add a new dwarf accelerator table prototype with the goal of replacing
the pubnames and pubtypes tables. LLDB can currently use this format
and a full spec is forthcoming and submission for standardization is planned.

A basic summary:

The dwarf accelerator tables are an indirect hash table optimized
for null lookup rather than access to known data. They are output into
an on-disk format that looks like this:

.-------------.
|  HEADER     |
|-------------|
|  BUCKETS    |
|-------------|
|  HASHES     |
|-------------|
|  OFFSETS    |
|-------------|
|  DATA       |
`-------------'

where the header contains a magic number, version, type of hash function,
the number of buckets, total number of hashes, and room for a special
struct of data and the length of that struct.

The buckets contain an index (e.g. 6) into the hashes array. The hashes
section contains all of the 32-bit hash values in contiguous memory, and
the offsets contain the offset into the data area for the particular
hash.

For a lookup example, we could hash a function name and take it modulo the
number of buckets giving us our bucket. From there we take the bucket value
as an index into the hashes table and look at each successive hash as long
as the hash value is still the same modulo result (bucket value) as earlier.
If we have a match we look at that same entry in the offsets table and
grab the offset in the data for our final match.

llvm-svn: 143921
2011-11-07 09:18:42 +00:00