Server: HP ProLiant DL360 Gen9
CPU:    Xeon E5-2667 v4 (3.20GHz); 2 processors(without HT)
DRAM:   DDR4-2400; 32 GiB/processor
        (8GiB/socket x 4 sockets/processor) x 2 processors
NVDIMM: DDR4-2133; 32 GiB/processor
        (8GiB/socket x 4 sockets/processor) x 2 processors
HDD:    Seagate Constellation2 2.5inch SATA 3.0. 6Gb/s 1TB 7200rpm x 1
OS:     Ubuntu 16.04, linux-4.12
DAX FS: ext4
NVML:   master(at)Aug 30, 2017
PostgreSQL: master
Note: I bound the postgres processes to one NUMA node, and the benchmarks to other NUMA node.

# cd /path/to/[PG_source dir]
# ./configure --with-libpmem
# make && make install
# initdb /path/to/PG_DATA -X /mnt/pmem0/path/to/[PG_WAL dir]
# cat /path/to/PG_DATA/postgresql.conf | sed -e s/#wal_sync_method\ =\
fsync/wal_sync_method\ =\ pmem_drain/ > /path/to/PG_DATA/postgresql.conf.
tmp
# mv /path/to/PG_DATA/postgresql.conf.tmp /path/to/PG_DATA/postgresql.conf
# pg_ctl start -D /path/to/PG_DATA
# created [DB_NAME]
5）执行2个benchmark，一个是pgbench，一个是my insert benchmark
  Pgbench:
      # numactl -N 1 pgbech -c 32 -j 8 -T 120 -M prepared [DB_NAME]
      执行pgbench三次的平均值：
      wal_sync_method=fdatasync:   tps = 43,179
wal_sync_method=pmem_drain:  tps = 45,254
  pclinet_thread：my insert benchmark
      准备：
      CREATE TABLE [TABLE_NAME] (id int8, value text);
ALTER TABLE [TABLE_NAME] ALTER value SET STORAGE external;
PREPARE insert_sql (int8) AS INSERT INTO %s (id, value) values ($1, '
[1K_data]');
执行：
BEGIN; EXECUTE insert_sql(%lld); COMMIT;
Note: I ran this quer 5M times with 32 threads.
# ./pclient_thread
Invalid Arguments:
Usage: ./pclient_thread [The number of threads] [The number to insert
tuples] [data size(KB)]
# numactl -N 1 ./pclient_thread 32 5242880 1