revlog: optimize _chunkraw when startrev==endrev In many cases, _chunkraw() is called with startrev==endrev. When this is true, we can avoid an extra index lookup and some other minor operations. On the mozilla-unified repo, `hg perfrevlogchunks -c` says this has the following impact: ! read w/ reused fd ! wall 0.371846 comb 0.370000 user 0.350000 sys 0.020000 (best of 27) ! wall 0.337930 comb 0.330000 user 0.300000 sys 0.030000 (best of 30) ! read batch w/ reused fd ! wall 0.014952 comb 0.020000 user 0.000000 sys 0.020000 (best of 197) ! wall 0.014866 comb 0.010000 user 0.000000 sys 0.010000 (best of 196) So, we've gone from ~25x slower than batch to ~22.5x slower. At this point, there's probably not much else we can do except implement an optimized function in the index itself, including in C.

revlog: inline start() and end() for perf reasons When I implemented `hg perfrevlogchunks`, one of the things that stood out was N * _chunk() calls was ~38x slower than 1 _chunks() call. Specifically, on the mozilla-unified repo: N*_chunk: 0.528997s 1*_chunks: 0.013735s This repo has 352,097 changesets. So the average time per changeset comes out to: N*_chunk: 1.502us 1*_chunks: 0.039us If you extrapolate these numbers to a repository with 1M changesets, that comes out to 1.502s versus 0.039s, which is significant. At these latencies, Python attribute lookups and function calls matter. So, this patch inlines some code to cut down on that overhead. The impact of this patch on N*_chunk() calls is clear: ! wall 0.528997 comb 0.520000 user 0.500000 sys 0.020000 (best of 19) ! wall 0.367723 comb 0.370000 user 0.350000 sys 0.020000 (best of 27) So, we go from ~38x slower to ~27x. A nice improvement. But there's still a long way to go. It's worth noting that functionality like revsets perform changelog lookups one revision at a time. So this code path is worth optimizing.

revlog: reorder index accessors to match data structure order Index entries are ordered tuples. We have accessors in the revlog class to map tuple offsets to names. To help reinforce the order, reorder the methods so they match the order of elements in the tuple. While I'm here, also sneak in some minimal documentation.