Name: cicada-exp-sigmod2017-silo
Owner: Efficient Computing at Carnegie Mellon
Description: A fork of Silo for Cicada SIGMOD 2017 evaluation
Created: 2016-08-22 07:30:57.0
Updated: 2017-10-28 15:39:49.0
Pushed: 2017-06-09 22:10:05.0
Size: 3548
Language: C++
GitHub Committers
User | Most Recent Commit | # Commits |
---|
Other Committers
User | Most Recent Commit | # Commits |
---|
This project contains the prototype of the database system described in
Speedy Transactions in Multicore In-Memory Databases
Stephen Tu, Wenting Zheng, Eddie Kohler, Barbara Liskov, Samuel Madden
SOSP 2013.
http://people.csail.mit.edu/stephentu/papers/silo.pdf
This code is an ongoing work in progress.
There are several options to build. MODE
is an important variable
governing the type of build. The default is MODE=perf
, see the
Makefile for more options. DEBUG=1
triggers a debug build (off by
default). CHECK_INVARIANTS=1
enables invariant checking. There are
two targets: the default target which builds the test suite, and
dbtest
which builds the benchmark suite. Examples:
MODE=perf DEBUG=1 CHECK_INVARIANTS=1 make -j
MODE=perf make -j dbtest
Each different combination of MODE
, DEBUG
, and CHECK_INVARIANTS
triggers
a unique output directory; for example, the first command above builds to
out-perf.debug.check.masstree
.
Silo now uses Masstree by default as
the default index tree. To use the old tree, set MASSTREE=0
.
To run the tests, simply invoke <outdir>/test
with no arguments. To run the
benchmark suite, invoke <outdir>/benchmarks/dbtest
. For now, look in
benchmarks/dbtest.cc
for documentation on the command line arguments. An
example invocation for TPC-C is:
<outdir>/benchmarks/dbtest \
--verbose \
--bench tpcc \
--num-threads 28 \
--scale-factor 28 \
--runtime 30 \
--numa-memory 112G
To reproduce the graphs from the paper:
$ cd benchmarks
$ python runner.py /unused-dir <results-file-prefix>
If you set DRYRUN=True
in runner.py
, then you get to see all the
commands that would be issued by the benchmark script.