DDBMS is a testbed of an OLTP distributed database management system (DBMS). It supports 6 concurrency control algorithms.
This testbed is based on the DBx1000 system, whose concurrency control scalability study can be found in the following paper:
Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores
Xiangyao Yu, George Bezerra, Andrew Pavlo, Srinivas Devadas, Michael Stonebraker
http://voltdb.com/downloads/datasheets_collateral/vdb_whitepaper_staring_into_the_abyss.pdf
DDBMS has three dependences that need to be installed:
To be able to make the code successfully there needs to be a file named obj. Run
mkdir obj
To build the database.
make deps
make -j
DBMS configurations can be changed in the config.h file. Please refer to README for the meaning of each configuration. Here we only list several most important ones.
NODE_CNT : Number of server nodes in the database
THREAD_CNT : Number of worker threads running per server
WORKLOAD : Supported workloads include YCSB and TPCC
CC_ALG : Concurrency control algorithm. Six algorithms are supported
(NO_WAIT, WAIT_DIE, TIMESTAMP, MVCC, OCC, CALVIN)
MAX_TXN_IN_FLIGHT : Maximum number of active transactions at each server at a given time
DONE_TIMER : Amount of time to run experiment
Configurations can also be specified as command argument at runtime. Run the following command for a full list of program argument.
./rundb -h
The DBMS can be run with
./rundb -nid[N]
./runcl -nid[M]
where N and M are the ID of a server and client, respectively
For example, if you are running with a THREAD_CNT of 4 you would run
./rundb -nid0
./rundb -nid1
./runcl -nid2
./runcl -nid3
There is also the option to run scripts. From the scripts directory run
python3 run_experiments -e [experiment]
- List of available experiments can be found here
After running an experiment, the results can be plotted by running
python3 plot.py [experiment]