5 Commits

Author SHA1 Message Date
Victor Costan
a6b3a2012e Add some std:: qualifiers to types and functions.
PiperOrigin-RevId: 309110431
2020-04-29 22:33:14 +00:00
Victor Costan
3f934e3705 Switch from C headers to C++ headers.
This CL makes the following substitutions.

* assert.h -> cassert
* math.h -> cmath
* stdarg.h -> cstdarg
* stddef.h -> cstddef
* stdint.h -> cstdint
* stdio.h -> cstdio
* stdlib.h -> cstdlib
* string.h -> cstring

PiperOrigin-RevId: 309080151
2020-04-29 20:51:13 +00:00
Victor Costan
a0191e5563 Add Env::Remove{File,Dir} which obsolete Env::Delete{File,Dir}.
The "DeleteFile" method name causes pain for Windows developers, because
<windows.h> #defines a DeleteFile macro to DeleteFileW or DeleteFileA.
Current code uses workarounds, like #undefining DeleteFile everywhere an
Env is declared, implemented, or used.

This CL removes the need for workarounds by renaming Env::DeleteFile to
Env::RemoveFile. For consistency, Env::DeleteDir is also renamed to
Env::RemoveDir. A few internal methods are also renamed for consistency.
Software that supports Windows is expected to migrate any Env
implementations and usage to Remove{File,Dir}, and never use the name
Env::Delete{File,Dir} in its code.

The renaming is done in a backwards-compatible way, at the risk of
making it slightly more difficult to build a new correct Env
implementation. The backwards compatibility is achieved using the
following hacks:

1) Env::Remove{File,Dir} methods are added, with a default
    implementation that calls into Env::Delete{File,Dir}. This makes old
    Env implementations compatible with code that calls into the updated
    API.
2) The Env::Delete{File,Dir} methods are no longer pure virtuals.
    Instead, they gain a default implementation that calls into
    Env::Remove{File,Dir}. This makes updated Env implementations
    compatible with code that calls into the old API.

The cost of this approach is that it's possible to write an Env without
overriding either Rename{File,Dir} or Delete{File,Dir}, without getting
a compiler warning. However, attempting to run the test suite will
immediately fail with an infinite call stack ending in
{Remove,Delete}{File,Dir}, making developers aware of the problem.

PiperOrigin-RevId: 288710907
2020-01-09 09:18:14 -08:00
Victor Costan
58a89bbcb2 Add WITHOUT ROWID to SQLite benchmark.
The SQLite-specific schema feature is documented at
https://www.sqlite.org/withoutrowid.html and
https://www.sqlite.org/rowidtable.html.

By default, SQLite stores each table in a B-tree keyed by an integer,
called the ROWID. Any index, including the PRIMARY KEY index, is a
separate B-tree mapping index keys to ROWIDs. Tables without ROWIDs are
stored in a B-tree keyed by the primary key. Additional indexes (the
PRIMARY KEY index is implicitly built into the table) are stored as
B-trees mapping index keys to row primary keys.

This CL introduces a boolean --use-rowids flag to db_bench_sqlite. When
the flag is false (default), the schema of the test table includes
WITHOUT ROWID. The test table uses a primary key, so adding WITHOUT
ROWID to the schema reduces the number of B-trees used by the benchmark
from 2 to 1. This brings SQLite's disk usage closer to LevelDB.

When WITHOUT ROWID is used, SQLite fares better (than today) on
benchmarks with small (16-byte) keys, and worse on benchmarks with large
(100kb) keys.

Baseline results:
fillseq      :      21.310 micros/op;    5.2 MB/s
fillseqsync  :     146.377 micros/op;    0.8 MB/s (10000 ops)
fillseqbatch :       2.065 micros/op;   53.6 MB/s
fillrandom   :      34.767 micros/op;    3.2 MB/s
fillrandsync :     159.943 micros/op;    0.7 MB/s (10000 ops)
fillrandbatch :      15.055 micros/op;    7.3 MB/s
overwrite    :      43.660 micros/op;    2.5 MB/s
overwritebatch :      27.691 micros/op;    4.0 MB/s
readrandom   :      12.725 micros/op;
readseq      :       2.602 micros/op;   36.7 MB/s
fillrand100K :     606.333 micros/op;  157.3 MB/s (1000 ops)
fillseq100K  :     657.457 micros/op;  145.1 MB/s (1000 ops)
readseq      :      46.523 micros/op; 2049.9 MB/s
readrand100K :      54.943 micros/op;

Results after this CL:
fillseq      :      16.231 micros/op;    6.8 MB/s
fillseqsync  :     147.460 micros/op;    0.8 MB/s (10000 ops)
fillseqbatch :       2.294 micros/op;   48.2 MB/s
fillrandom   :      27.871 micros/op;    4.0 MB/s
fillrandsync :     141.979 micros/op;    0.8 MB/s (10000 ops)
fillrandbatch :      16.087 micros/op;    6.9 MB/s
overwrite    :      26.829 micros/op;    4.1 MB/s
overwritebatch :      19.014 micros/op;    5.8 MB/s
readrandom   :      11.657 micros/op;
readseq      :       0.155 micros/op;  615.0 MB/s
fillrand100K :     816.812 micros/op;  116.8 MB/s (1000 ops)
fillseq100K  :     754.689 micros/op;  126.4 MB/s (1000 ops)
readseq      :      47.112 micros/op; 2024.3 MB/s
readrand100K :     287.679 micros/op;

Results after this CL, with --use-rowids=1
fillseq      :      20.655 micros/op;    5.4 MB/s
fillseqsync  :     146.408 micros/op;    0.8 MB/s (10000 ops)
fillseqbatch :       2.045 micros/op;   54.1 MB/s
fillrandom   :      34.080 micros/op;    3.2 MB/s
fillrandsync :     154.582 micros/op;    0.7 MB/s (10000 ops)
fillrandbatch :      14.404 micros/op;    7.7 MB/s
overwrite    :      42.928 micros/op;    2.6 MB/s
overwritebatch :      27.829 micros/op;    4.0 MB/s
readrandom   :      12.835 micros/op;
readseq      :       2.483 micros/op;   38.4 MB/s
fillrand100K :     603.265 micros/op;  158.1 MB/s (1000 ops)
fillseq100K  :     662.473 micros/op;  144.0 MB/s (1000 ops)
readseq      :      45.478 micros/op; 2097.0 MB/s
readrand100K :      54.439 micros/op;
PiperOrigin-RevId: 283407101
2019-12-02 13:51:20 -08:00
Victor Costan
4bd052d7e8 Consolidate benchmark code to benchmarks/.
Currently, the benchmark used to assess leveldb changes lives in db/. The codebase also contains two benchmarks against other database engines in doc/bench/. Moving all the benchmarks in one place opens up the way for extracting common code.

PiperOrigin-RevId: 246737541
2019-05-05 12:59:23 -07:00