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2022-07-05 use TPCC to conduct sub query test on stonedb
2022-07-06 22:27:00 【Emperor Zunwu world】
Catalog
3、 ... and . Import the table structure of the modified engine ：
5、 ... and . Perform the test :
contrast mysql Of innodb engine ：
Abstract :
Record the use of tpcc Yes stonedb Conduct pressure measurement process
tpcc:
One . compile
git clone https://github.com/Percona-Lab/tpcc-mysql.git
cd tpcc-mysql/src
make
cd ..
# Because we are testing STONEDB engine , So it needs to be modified create_table.sql The table structure engine inside is Atomstore
vim create_table.sql
:%s/InnoDB/STONEDB/g
Two . establish tpcc library
mysql -e “create database tpcc”3、 ... and . Import the table structure of the modified engine ：
mysql tpcc < create_table.sqlFour . Import data
ln -s /stonedb56/install/tmp/mysql.sock /var/lib/mysql/mysql.sock./tpcc_load -h localhost -d tpcc -u root -P 3306 -w 105、 ... and . Perform the test :
./tpcc_start -h localhost -d tpcc -u root -P 3306 -w 10 -c32 -r10 -l606、 ... and . Test data :
MEASURING START.
10, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
20, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
30, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
40, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
50, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
60, trx: 0, 95%: 0.000, 99%: 0.000, max_rt: 0.000, 0|0.000, 0|0.000, 0|0.000, 0|0.000
STOPPING THREADS
<Raw Results>
[0] sc:0 lt:0 rt:0 fl:0 avg_rt: -nan (5)
[1] sc:0 lt:0 rt:0 fl:0 avg_rt: -nan (5)
[2] sc:0 lt:0 rt:0 fl:0 avg_rt: -nan (5)
[3] sc:0 lt:0 rt:0 fl:0 avg_rt: -nan (80)
[4] sc:0 lt:0 rt:0 fl:0 avg_rt: -nan (20)
in 60 sec.
<Raw Results2(sum ver.)>
[0] sc:0 lt:0 rt:0 fl:0
[1] sc:0 lt:0 rt:0 fl:0
[2] sc:0 lt:0 rt:0 fl:0
[3] sc:0 lt:0 rt:0 fl:0
[4] sc:0 lt:0 rt:0 fl:0
<Constraint Check> (all must be [OK])
[transaction percentage]
Payment: -nan% (>=43.0%) [NG] *
Order-Status: -nan% (>= 4.0%) [NG] *
Delivery: -nan% (>= 4.0%) [NG] *
Stock-Level: -nan% (>= 4.0%) [NG] *
[response time (at least 90% passed)]
New-Order: -nan% [NG] *
Payment: -nan% [NG] *
Order-Status: -nan% [NG] *
Delivery: -nan% [NG] *
Stock-Level: -nan% [NG] *
<TpmC>
0.000 TpmC
Subquery :
Query statement :
select
o_carrier_id,
count(*) as order_count
from
orders
where
o_entry_d >= date '1993-07-01'
and o_entry_d < date '2022-07-06' + interval '3' month
and exists (
select
*
from
item
where
i_name = i_data
or i_id > i_price
)
group by
o_carrier_id
order by
o_carrier_id;stonedb Execution results :
mysql> select
-> o_carrier_id,
-> count(*) as order_count
-> from
-> orders
-> where
-> o_entry_d >= date '1993-07-01'
-> and o_entry_d < date '2022-07-06' + interval '3' month
-> and exists (
-> select
-> *
-> from
-> item
-> where
-> i_name = i_data
-> or i_id > i_price
-> )
-> group by
-> o_carrier_id
-> order by
-> o_carrier_id;
+--------------+-------------+
| o_carrier_id | order_count |
+--------------+-------------+
| NULL | 90000 |
| 1 | 21113 |
| 2 | 20850 |
| 3 | 20965 |
| 4 | 20854 |
| 5 | 21050 |
| 6 | 21123 |
| 7 | 21028 |
| 8 | 21062 |
| 9 | 21015 |
| 10 | 20940 |
+--------------+-------------+
11 rows in set (0.26 sec)
mysql> explain select
-> o_carrier_id,
-> count(*) as order_count
-> from
-> orders
-> where
-> o_entry_d >= date '1993-07-01'
-> and o_entry_d < date '2022-07-06' + interval '3' month
-> and exists (
-> select
-> *
-> from
-> item
-> where
-> i_name = i_data
-> or i_id > i_price
-> )
-> group by
-> o_carrier_id
-> order by
-> o_carrier_id \G
*************************** 1. row ***************************
id: 1
select_type: PRIMARY
table: NULL
type: NULL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: NULL
Extra: Impossible WHERE
*************************** 2. row ***************************
id: 2
select_type: SUBQUERY
table: item
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 100000
Extra: Using where with pushed condition (t0) Pckrows: 2, susp. 2 (0 empty 0 full). Conditions: 1
2 rows in set (0.00 sec)
contrast mysql Of innodb engine ：
mysql edition ：
[[email protected] ~]# mysqld --version
/usr/libexec/mysqld Ver 8.0.26 for Linux on x86_64 (Source distribution)
data ：
mysql> select
-> o_carrier_id,
-> count(*) as order_count
-> from
-> orders
-> where
-> o_entry_d >= date '1993-07-01'
-> and o_entry_d < date '2022-07-06' + interval '3' month
-> and exists (
-> select
-> *
-> from
-> item
-> where
-> i_name = i_data
-> or i_id > i_price
-> )
-> group by
-> o_carrier_id
-> order by
-> o_carrier_id;
+--------------+-------------+
| o_carrier_id | order_count |
+--------------+-------------+
| NULL | 90000 |
| 1 | 21218 |
| 2 | 20976 |
| 3 | 20727 |
| 4 | 21098 |
| 5 | 21084 |
| 6 | 20878 |
| 7 | 21114 |
| 8 | 20800 |
| 9 | 21265 |
| 10 | 20840 |
+--------------+-------------+
11 rows in set (0.11 sec)
mysql> explain select
-> o_carrier_id,
-> count(*) as order_count
-> from
-> orders
-> where
-> o_entry_d >= date '1993-07-01'
-> and o_entry_d < date '2022-07-06' + interval '3' month
-> and exists (
-> select
-> *
-> from
-> item
-> where
-> i_name = i_data
-> or i_id > i_price
-> )
-> group by
-> o_carrier_id
-> order by
-> o_carrier_id \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: item
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 92192
filtered: 40.00
Extra: Using where; Using temporary; Using filesort; FirstMatch
*************************** 2. row ***************************
id: 1
select_type: SIMPLE
table: orders
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 271048
filtered: 11.11
Extra: Using where; Using join buffer (hash join)
2 rows in set, 1 warning (0.00 sec)
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