论坛问答 › GreatSQL专区 › 凝思6.0.99欧拉融合版使用万里导入数据很慢

Yep. 发表于 2025-3-17 09:18:37

凝思6.0.99欧拉融合版使用万里导入数据很慢

【系统版本】


root@server:~/Desktop# cat /etc/os-release
PRETTY_NAME="Linx GNU/Linux 6.0.99"
NAME="Linx GNU/Linux"
VERSION_ID="8"
VERSION="8"
ID=Linx
HOME_URL="http://www.linx-info.com/"


【内核版本】

uname -a
Linux server 4.19.0-11-linx-security-amd64 #1 SMP Linx 4.19.90-2linx6 (2024-07-19) x86_64 GNU/Linux


【gcc版本】

root@server:~/Desktop# gcc --version
gcc (GCC) 8.3.0
Copyright (C) 2018 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.


【glibc版本】

root@server:~/Desktop# ldd --version
ldd (Debian GLIBC 2.19-18+deb8u10-linx2) 2.19
Copyright (C) 2014 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
由 Roland McGrath 和 Ulrich Drepper 编写。


【安装包】
GreatSQL-8.0.32-26-Linux-glibc2.17-x86_64.tar.xz

【安装方法】
参考Ubuntu二进制包安装方法，具体如下：
1. 第一步将安装包、my.cnf、mysqld.service、更改过的mysqld_pre_systemd拷贝至/home下2. 第二步 tar -xvf /home/GreatSQL-8.0.32-26-Linux-glibc2.17-x86_64.tar.xzmv /home/GreatSQL-8.0.32-26-Linux-glibc2.17-x86_64/usr/local/mysql3. 第三步cd /etc/mysql/ mv my.cnf my.cnf.bakcp /home/my.cnf /etc/mysql/4. 第四步 groupadd mysqluseradd -g mysql mysqlmkdir -p /data/GreatSQLchown -R mysql:mysql /data/GreatSQLchmod -R 700 /data/GreatSQLmkdir -p /var/log/mysqlchown -R mysql:mysql /var/log/mysqlchmod -R 700 /var/log/mysql5. 第五步cp /home/mysqld_pre_systemd /usr/local/mysql/bin/6. 第六步cp /home/mysqld.service /lib/systemd/system/7. 第七步mkdir -p /etc/sysconfigchown -R mysql:mysql /etc/sysconfigchmod -R 700 /etc/sysconfig8. 第八步sudo sh -c 'echo "export PATH=/usr/local/mysql/bin:\$PATH" >> /etc/profile'source /etc/profile9. 第九步10. 第十步rm -rf /myproc/SE2000/lib/lib_wanli/*cp -a /usr/local/mysql/lib/* /myproc/SE2000/lib/lib_wanli/cp -af /myproc/SE2000/lib/lib_wanli/* /myproc/SE2000/lib/（此处是需要更换我们程序下的依赖）nohup mysqld --defaults-file=/etc/mysql/my.cnf --initialize-insecure --user=mysqlmysqld --defaults-file=/etc/mysql/my.cnf &11. 第十一步systemctl daemon-reloadmysql_install_dbmysqld_safe &中间间隔5-10分钟再执行：killall -9 -g mysqld_safemysqld_safe &12. 第十二步 mysql -uroot alter user user() identified by 'Dlsoftsa123@';
【my.cnf第一次配置，导入同样数据需要好几个小时】socket    = /data/GreatSQL/mysql.sockloose-skip-binary-as-hexprompt = "(\\D)[\\u@GreatSQL][\\d]>"no-auto-rehashuser    = mysqlport    = 3306server_id = 3306basedir = /usr/local/mysqldatadir = /data/GreatSQLsocket= /data/GreatSQL/mysql.socklog_error=/var/log/mysql/error.logpid-file = mysql.pidcharacter-set-server = UTF8MB4skip_name_resolve = ONdefault_time_zone = "+8:00"bind_address = "0.0.0.0"secure_file_priv = /data/GreatSQLlower_case_table_names=1
# Performancelock_wait_timeout = 3600open_files_limit    = 65535back_log = 1024max_connections = 512max_connect_errors = 1000000table_open_cache = 1024table_definition_cache = 1024thread_stack = 512Ksort_buffer_size = 4Mjoin_buffer_size = 4Mread_buffer_size = 8Mread_rnd_buffer_size = 4Mbulk_insert_buffer_size = 64Mthread_cache_size = 768interactive_timeout = 600wait_timeout = 600tmp_table_size = 32Mmax_heap_table_size = 32Mmax_allowed_packet = 64Mnet_buffer_shrink_interval = 180sql_generate_invisible_primary_key = ONloose-lock_ddl_polling_mode = ONloose-lock_ddl_polling_runtime = 200
# Logslog_timestamps = SYSTEMlog_error = error.loglog_error_verbosity = 3slow_query_log = ONlog_slow_extra = ONslow_query_log_file = slow.loglong_query_time = 0.01log_queries_not_using_indexes = ONlog_throttle_queries_not_using_indexes = 60min_examined_row_limit = 100log_slow_admin_statements = ONlog_slow_replica_statements = ONlog_slow_verbosity = FULLlog_bin = binlogbinlog_format = ROWsync_binlog = 1binlog_cache_size = 4Mmax_binlog_cache_size = 2Gmax_binlog_size = 1Gbinlog_space_limit = 500Gbinlog_rows_query_log_events = ONbinlog_expire_logs_seconds = 604800binlog_checksum = CRC32binlog_order_commits = OFFgtid_mode = ONenforce_gtid_consistency = ON
# Replicationrelay-log = relaylogrelay_log_recovery = ONreplica_parallel_type = LOGICAL_CLOCKreplica_parallel_workers = 16binlog_transaction_dependency_tracking = WRITESETreplica_preserve_commit_order = ONreplica_checkpoint_period = 2loose-rpl_read_binlog_speed_limit = 100
# MGRloose-plugin_load_add = 'mysql_clone.so'loose-plugin_load_add = 'group_replication.so'loose-group_replication_group_name = "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaa1"loose-group_replication_local_address = "172.16.16.10:33061"loose-group_replication_group_seeds = "172.16.16.10:33061,172.16.16.11:33061,172.16.16.12:33061"loose-group_replication_communication_stack = "XCOM"loose-group_replication_recovery_use_ssl = OFFloose-group_replication_ssl_mode = DISABLEDloose-group_replication_start_on_boot = OFFloose-group_replication_bootstrap_group = OFFloose-group_replication_exit_state_action = READ_ONLYloose-group_replication_flow_control_mode = "DISABLED"loose-group_replication_single_primary_mode = ONloose-group_replication_enforce_update_everywhere_checks = OFFloose-group_replication_majority_after_mode = ONloose-group_replication_communication_max_message_size = 10Mloose-group_replication_arbitrator = OFFloose-group_replication_single_primary_fast_mode = 1loose-group_replication_request_time_threshold = 100loose-group_replication_primary_election_mode = GTID_FIRSTloose-group_replication_unreachable_majority_timeout = 0loose-group_replication_member_expel_timeout = 5loose-group_replication_autorejoin_tries = 288loose-group_replication_recovery_get_public_key = ONloose-group_replication_donor_threshold = 100report_host = "172.16.16.10"
# InnoDBinnodb_buffer_pool_size = 2Ginnodb_buffer_pool_instances = 8innodb_data_file_path = ibdata1:12M:autoextendinnodb_flush_log_at_trx_commit = 1innodb_log_buffer_size = 32Minnodb_redo_log_capacity = 6Ginnodb_doublewrite_files = 2innodb_max_undo_log_size = 4Ginnodb_io_capacity = 4000innodb_io_capacity_max = 8000innodb_open_files = 65535innodb_flush_method = O_DIRECTinnodb_lru_scan_depth = 4000innodb_lock_wait_timeout = 10innodb_rollback_on_timeout = ONinnodb_print_all_deadlocks = ONinnodb_online_alter_log_max_size = 4Ginnodb_print_ddl_logs = ONinnodb_status_file = ONinnodb_status_output = OFFinnodb_status_output_locks = ONinnodb_sort_buffer_size = 64Minnodb_adaptive_hash_index = OFFinnodb_numa_interleave = OFFinnodb_spin_wait_delay = 20innodb_print_lock_wait_timeout_info = ONinnodb_change_buffering = nonekill_idle_transaction = 300innodb_data_file_async_purge = ON
#innodb monitor settings#innodb_monitor_enable = "module_innodb,module_server,module_dml,module_ddl,module_trx,module_os,module_purge,module_log,module_lock,module_buffer,module_index,module_ibuf_system,module_buffer_page,module_adaptive_hash"
#pfs settingsperformance_schema = 1#performance_schema_instrument = '%memory%=on'performance_schema_instrument = '%lock%=on'


【my.cnf第二次配置，导入同样数据需要两个半小时】


socket    = /data/GreatSQL/mysql.sock

loose-skip-binary-as-hex
prompt = "(\\D)[\\u@GreatSQL][\\d]>"
no-auto-rehash

user    = mysql
port    = 3306
server_id = 3306
basedir = /usr/local/mysql
datadir = /data/GreatSQL
socket= /data/GreatSQL/mysql.sock
log_error=/var/log/mysql/error.log
pid-file = mysql.pid
character-set-server = UTF8
skip_name_resolve = 1
default_time_zone = "+8:00"
bind_address = "0.0.0.0"
secure_file_priv = /data/GreatSQL
#lower_case_table_names=1
collation_server=utf8_bin

# Performance
#skip_ssl
lock_wait_timeout = 3600
open_files_limit    = 65535
back_log = 1024
max_connections = 1000
max_connect_errors = 1000000
table_open_cache = 256
table_definition_cache = 1024
thread_stack = 512K
sort_buffer_size = 4M
join_buffer_size = 4M
read_buffer_size = 8M
read_rnd_buffer_size = 4M
bulk_insert_buffer_size = 64M
thread_cache_size = 8
interactive_timeout = 600
wait_timeout = 600
tmp_table_size = 34M
max_heap_table_size = 32M
skip_external_locking=1
max_allowed_packet = 256M
event_scheduler=1
max_prepared_stmt_count=1048448
max_binlog_size=500M
expire_logs_days=10
autocommit=1
net_buffer_shrink_interval = 180
sql_generate_invisible_primary_key = ON
loose-lock_ddl_polling_mode = ON
loose-lock_ddl_polling_runtime = 200

# Logs
log_timestamps = SYSTEM
log_error = error.log
log_error_verbosity = 3
slow_query_log = ON
log_slow_extra = ON
slow_query_log_file = slow.log
long_query_time = 0.01
log_queries_not_using_indexes = ON
log_throttle_queries_not_using_indexes = 60
min_examined_row_limit = 100
log_slow_admin_statements = ON
log_slow_replica_statements = ON
log_slow_verbosity = FULL
log_bin = binlog
binlog_format = ROW
sync_binlog = 0
binlog_cache_size = 4M
max_binlog_cache_size = 2G
max_binlog_size = 1G
binlog_space_limit = 500G
binlog_rows_query_log_events = ON
binlog_expire_logs_seconds = 604800
binlog_checksum = CRC32
binlog_order_commits = OFF
gtid_mode = ON
enforce_gtid_consistency = ON

# Replication
relay-log = relaylog
relay_log_recovery = ON
replica_parallel_type = LOGICAL_CLOCK
replica_parallel_workers = 16
binlog_transaction_dependency_tracking = WRITESET
replica_preserve_commit_order = ON
replica_checkpoint_period = 2
loose-rpl_read_binlog_speed_limit = 100

# MGR
loose-plugin_load_add = 'mysql_clone.so'
loose-plugin_load_add = 'group_replication.so'
loose-group_replication_group_name = "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaa1"
loose-group_replication_local_address = "172.16.16.10:33061"
loose-group_replication_group_seeds = "172.16.16.10:33061,172.16.16.11:33061,172.16.16.12:33061"
loose-group_replication_communication_stack = "XCOM"
loose-group_replication_recovery_use_ssl = OFF
loose-group_replication_ssl_mode = DISABLED
loose-group_replication_start_on_boot = OFF
loose-group_replication_bootstrap_group = OFF
loose-group_replication_exit_state_action = READ_ONLY
loose-group_replication_flow_control_mode = "DISABLED"
loose-group_replication_single_primary_mode = ON
loose-group_replication_enforce_update_everywhere_checks = OFF
loose-group_replication_majority_after_mode = ON
loose-group_replication_communication_max_message_size = 10M
loose-group_replication_arbitrator = OFF
loose-group_replication_single_primary_fast_mode = 1
loose-group_replication_request_time_threshold = 100
loose-group_replication_primary_election_mode = GTID_FIRST
loose-group_replication_unreachable_majority_timeout = 0
loose-group_replication_member_expel_timeout = 5
loose-group_replication_autorejoin_tries = 288
loose-group_replication_recovery_get_public_key = ON
loose-group_replication_donor_threshold = 100
report_host = "172.16.16.10"

# InnoDB
innodb_buffer_pool_size = 10240M
innodb_buffer_pool_instances = 8
innodb_data_file_path = ibdata1:12M:autoextend
innodb_file_per_table=1
innodb_flush_log_at_trx_commit = 2
innodb_log_buffer_size = 16M
innodb_log_file_size=1024M
innodb_redo_log_capacity = 6G
innodb_doublewrite_files = 2
innodb_max_undo_log_size = 4G
innodb_io_capacity = 4000
innodb_io_capacity_max = 8000
innodb_open_files = 1000
innodb_flush_method = O_DIRECT
innodb_lru_scan_depth = 4000
innodb_lock_wait_timeout = 10
innodb_rollback_on_timeout = ON
innodb_print_all_deadlocks = ON
innodb_online_alter_log_max_size = 4G
innodb_print_ddl_logs = ON
innodb_status_file = ON
innodb_status_output = OFF
innodb_status_output_locks = ON
innodb_sort_buffer_size = 64M
innodb_adaptive_hash_index = OFF
innodb_numa_interleave = OFF
innodb_spin_wait_delay = 20
innodb_print_lock_wait_timeout_info = ON
innodb_change_buffering = none
kill_idle_transaction = 300
innodb_data_file_async_purge = ON

#innodb monitor settings
#innodb_monitor_enable = "module_innodb,module_server,module_dml,module_ddl,module_trx,module_os,module_purge,module_log,module_lock,module_buffer,module_index,module_ibuf_system,module_buffer_page,module_adaptive_hash"

#pfs settings
performance_schema = 1
#performance_schema_instrument = '%memory%=on'
performance_schema_instrument = '%lock%=on'



【my.cnf第三次配置，使用该配置在麒麟系统下验证过导入同样数据需要8分钟左右，但是在凝思99下需要小时起步】


socket    = /data/GreatSQL/mysql.sock

loose-skip-binary-as-hex
prompt = "(\\D)[\\u@GreatSQL][\\d]>"
no-auto-rehash

user    = mysql
port    = 3306
server_id = 3306
basedir = /usr/local/mysql
datadir = /data/GreatSQL
socket= /data/GreatSQL/mysql.sock
log_error=/var/log/mysql/error.log
pid-file = mysql.pid
secure_file_priv = /data/GreatSQL

#skip_ssl
max_connections=1000
innodb_buffer_pool_size=10240M
table_open_cache=256
tmp_table_size=34M
thread_cache_size=8
skip_name_resolve=1
lower_case_table_names=1
character-set-server=utf8
collation_server=utf8_bin
group_concat_max_len=512000
skip_external_locking=1
max_allowed_packet = 256M
event_scheduler=1
max_prepared_stmt_count=1048448
sync_binlog=0
max_binlog_size=500M
expire_logs_days=10
autocommit=1
innodb_file_per_table=1
innodb_flush_log_at_trx_commit=2
innodb_log_buffer_size=16M
innodb_log_file_size=1024M
innodb_open_files=1000

yejr 发表于 2025-3-17 09:39:04

导入数据的耗时更大取决于你的服务器硬盘性能，可以先用下面方法对比测试两个环境中分别的结果

time dd oflag=direct if=/dev/zero of=./zero bs=1M count=20480


另外，导入数据期间，可以把双1关闭，并尽可能调大innodb_buffer_pool_size，即设置

sync_binlog = 0
innodb_flush_log_at_trx_commit = 0
innodb_buffer_pool_size = ## 最大可以设置为物理内存的80%

Yep. 发表于 2025-3-17 10:04:55

yejr 发表于 2025-3-17 09:39
导入数据的耗时更大取决于你的服务器硬盘性能，可以先用下面方法对比测试两个环境中分别的结果




麒麟环境结果：
系统未激洁]# time dd oflag=direct if=/dev/zero of=./zero bs=1M
ount=20480
记录了20480+0 的读入记录了20480+0的写出
21474836480字节(21GB，20GiB)已复制，180.203S，119MB/S
real
user
SVS
3m0.222s
0m0.043s
0m7.264s


凝思99是在虚拟机的，测出来结果是
root@server:~/Desktop# time dd oflag=direct if=/dev/zero of=./zero bs=1M count=20480
记录了20480+0 的读入
记录了20480+0 的写出
21474836480字节(21 GB)已复制，74.2495 秒，289 MB/秒

real        1m14.255s
user        0m0.156s
sys        0m47.308s


另外，修改这三个参数的值后需要重装数据库或者重新建库建表吗

yejr 发表于 2025-3-17 11:19:00

Yep. 发表于 2025-3-17 10:04
麒麟环境结果：
系统未激洁]# time dd oflag=direct if=/dev/zero of=./zero bs=1M
ount= ...

这个看着很不科学啊，凝思99基于虚机跑，I/O性能更高，结果导入却更慢？

麻烦提供更多详细信息吧，包括怎么导入的，导入期间在数据库层执行 show processlist 查看数据库状态，以及在os层执行 perf top 观察至少1-2分钟，把这些结果都再贴上来

Yep. 发表于 2025-3-17 17:16:25

yejr 发表于 2025-3-17 11:19
这个看着很不科学啊，凝思99基于虚机跑，I/O性能更高，结果导入却更慢？

麻烦提供更多详细信息吧，包括 ...
我们程序导入数据用的是bind预处理方式，依旧是第三个my.cnf配置，我第二次导入时间变短了，需要23分钟左右，这个系统装不上perf，所以只记录了几次导入期间数据库结果：



(Mon Mar 17 16:43:14 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265040 | Waiting on empty queue | NULL                                                                                                 | 265039913 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | update               | insert into dlsoftdb.teleindication values('yx-1-184','YX-184',0,'1','1',1,184,400,'',0,0,0,0,0,0,0, |         4 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      1 |                        | NULL                                                                                                 |      1587 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:44:38 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265104 | Waiting on empty queue | NULL                                                                                                 | 265103778 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | update               | insert into dlsoftdb.teleindication values('yx-112-1550','YX-1550',0,'1','1',112,1550,400,'',0,0,0,0 |      18 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      5 |                        | NULL                                                                                                 |      5438 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:45:42 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+-----------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                              | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+-----------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265285 | Waiting on empty queue | NULL                              | 265284468 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Query   |      2 | NULL                   | delete from dlsoftdb.telemetering |      2051 |         0 |         64447 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      6 |                        | NULL                              |      6098 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                  |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+-----------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:48:43 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265496 | Waiting on empty queue | NULL                                                                                                 | 265495059 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | NULL                   | insert into dlsoftdb.telemetering values('yc-105-3592','YC-3592',0,'1','1',0,0,'',105,3592,1,1,1,0,0 |         4 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      7 |                        | NULL                                                                                                 |      6653 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:52:14 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info             | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265740 | Waiting on empty queue | NULL             | 265739311 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Sleep   |      0 |                        | NULL             |      34 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      1 |                        | NULL             |       841 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:56:18 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info             | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265764 | Waiting on empty queue | NULL             | 265763286 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Sleep   |      0 |                        | NULL             |         3 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      5 |                        | NULL             |      4803 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:56:42 2025)[(none)]>show processlist;                                                                                                                                    
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 265839 | Waiting on empty queue | NULL                                                                                                 | 265838735 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | closing tables         | insert into dlsoftdb.telemetering values('yc-150-5183','YC-5183',0,'1','1',0,0,'',150,5183,1,1,1,0,0 |         3 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      0 |                        | NULL                                                                                                 |       215 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 16:57:57 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 266040 | Waiting on empty queue | NULL                                                                                                 | 266039051 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | update               | insert into dlsoftdb.telemetering values('yc-196-5151','YC-5151',0,'1','1',0,0,'',196,5151,1,1,1,0,0 |         3 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      1 |                        | NULL                                                                                                 |       427 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 17:01:18 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info                                                                                                 | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 266411 | Waiting on empty queue | NULL                                                                                                 | 266411002 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Execute |      0 | Sending to client      | insert into dlsoftdb.telemetering values('yc-99-5471','YC-5471',0,'1','1',0,0,'',99,5471,1,1,1,0,0,0 |         3 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      2 |                        | NULL                                                                                                 |      2301 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist                                                                                     |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------------------------------------------------------------------------------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

(Mon Mar 17 17:07:29 2025)[(none)]>show processlist;
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
| Id | User            | Host               | db       | Command | Time   | State                  | Info             | Time_ms   | Rows_sent | Rows_examined |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
|5 | event_scheduler | localhost            | NULL   | Daemon| 266440 | Waiting on empty queue | NULL             | 266439881 |         0 |             0 |
| 29 | root            | 192.168.200.15:49136 | dlsoftdb | Sleep   |   27 |                        | NULL             |   27412 |         0 |             0 |
| 32 | root            | 192.168.200.15:39574 | dlsoftdb | Sleep   |      1 |                        | NULL             |      1169 |         0 |             0 |
| 33 | root            | localhost            | NULL   | Query   |      0 | init                   | show processlist |         0 |         0 |             0 |
+----+-----------------+----------------------+----------+---------+--------+------------------------+------------------+-----------+-----------+---------------+
4 rows in set (0.00 sec)

Yep. 发表于 2025-3-17 17:24:17

Yep. 发表于 2025-3-17 17:16
我们程序导入数据用的是bind预处理方式，依旧是第三个my.cnf配置，我第二次导入时间变短了，需要23分钟左 ...

这是top结果："C:\Users\Lenovo\Pictures\Screenshots\屏幕截图 2025-03-17 172053.png"

另外，我原本的my.cnf配置中sync_binlog = 0，innodb_flush_log_at_trx_commit = 2，我直接修改innodb_flush_log_at_trx_commit=0的话我在数据库里面用SHOW VARIABLES LIKE 'innodb_flush_log_at_trx_commit';指令查仍然为2，是不是需要重装才能生效

Yep. 发表于 2025-3-17 17:26:42

Yep. 发表于 2025-3-17 17:24
这是top结果：

另外，我原本的my.cnf配置中sync_binlog = 0，innodb_flush_log_at_trx_commit = 2，我直 ...
C:\Users\Lenovo\Pictures\Screenshots\屏幕截图 2025-03-17 172053.png

yejr 发表于 2025-3-17 17:54:28

Yep. 发表于 2025-3-17 17:26


set global innodb_flush_log_at_trx_commit=0
这样修改即可

看你提供的截图，mysqld进程占用内存非常小，才1g出头，看起来你的 innodb_buffer_pool_size 设置似乎也不对，给的太小了

导入期间os层执行命令 vmstat -S m 1 100 看看

perf最好还是安装一下，才能更清晰排查问题

Yep. 发表于 2025-3-18 09:24:15

yejr 发表于 2025-3-17 17:54
set global innodb_flush_log_at_trx_commit=0
这样修改即可



我修改了innodb_flush_log_at_trx_commit=0，虚拟机内存16G，innodb_buffer_pool_size由10G改为了12G，再次导入时间在17分钟左右

perf安装遇到些问题，凝思那边正在测试还没给反馈。
以下是运行vmstat -S m 1 100结果：
root@server:~/Desktop# vmstat -S m 1 100
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
10    265    163    19811502    0    0    11   36018015035 9100
10    265    158    19811507    0    0   2566276 2610 8887 68 32000
40    265    188    19711477    0    0   2566380 2476 7811 65 35000
20    265    184    19711481    0    0   1285352 2557 8444 68 32000
10    265    179    19711486    0    0   2565860 2570 8593 68 32000
30    265    174    19711491    0    0   2566228 2641 8599 69 31000
70    265    169    19711496    0    0   2566116 2599 8428 69 31000
20    265    164    19711501    0    0   1285756 2494 8758 70 30000
10    265    159    19711506    0    0   2565812 2517 8621 71 29000
10    266    172    19711493    0    0   0 27748 2481 8746 63 37000
40    266    168    19711498    0    0   2565700 2533 8485 70 30000
10    266    163    19711503    0    0   2565528 2583 8535 68 32000
30    266    158    19711508    0    0   2565672 2485 8520 68 32000
50    266    170    19711495    0    0   1286640 2519 9118 71 29000
20    266    165    19711500    0    0   2565720 2505 8647 69 31000
40    266    161    19711505    0    0   2565560 2586 8890 69 31000
40    266    174    19511495    0    0   2566172 2600 8478 68 32000
10    266    169    19511500    0    0   1285924 2492 8591 69 31000
20    266    180    19311489    0    0   3645900 2476 7886 64 36000
30    266    176    19311494    0    0   3005484 2534 8651 71 29000
10    266    172    19311498    0    0   46428 2642 8984 63 37000
10    266    167    19311503    0    0   2565936 2542 8562 66 34000
10    266    163    19311508    0    0   1285840 2478 8313 70 30000
10    266    174    19311495    0    0   2566292 2497 8925 70 30000
30    266    170    19311500    0    0   2565592 2411 8369 72 28000
20    266    165    19311505    0    0   2565944 2453 8550 69 31000
10    266    160    19311510    0    0   1286320 2442 8660 68 32000
10    266    173    19011500    0    0   2565952 2493 8752 71 29000
70    266    168    19011505    0    0   2565664 2428 8131 68 32000
10    266    163    19011509    0    0   2565808 2547 8230 68 32000
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
20    266    159    19011514    0    0   1285620 2522 8531 68 32000
20    266    172    19011501    0    0   1326172 2541 8723 67 33000
10    266    167    19011506    0    0   1285676 2504 8772 68 32000
40    266    162    19011510    0    0   2565676 2504 8502 68 32000
30    266    158    19011515    0    0   2565856 2469 8249 69 31000
10    267    170    18211510    0    0   2566028 2465 8443 70 30000
10    267    165    18211515    0    0   1285884 2582 8791 69 31000
20    267    161    18211520    0    0   2565600 2590 8428 69 31000
10    267    173    18111508    0    0   2566252 2502 8536 68 32000
50    267    169    18111513    0    0   2565804 2483 8011 67 33000
20    267    164    18111517    0    0   1285616 2533 8510 69 31000
40    267    160    18111522    0    0   0 30880 2447 8206 60 40000
10    267    173    17511515    0    0   2565656 2462 8427 65 35000
10    267    168    17511520    0    0   2565848 2591 8637 69 31000
40    267    164    17511525    0    0   2565960 2503 8339 70 30000
40    267    159    17511529    0    0   1285576 2504 8184 69 31000
10    267    172    17311518    0    0   2565908 2526 8599 70 30000
10    267    167    17311523    0    0   2566024 2518 8269 69 31000
30    267    162    17311527    0    0   1285544 2479 8428 64 36000
20    267    176    16811519    0    0   1285528 2533 8221 63 37000
20    267    171    16811524    0    0   1285880 2588 8952 70 30000
10    267    167    16811528    0    0   2565652 2479 8026 66 34000
10    267    163    16811532    0    0   2565896 2500 8129 71 29000
50    267    159    16811536    0    0   2606020 2492 8618 69 31000
10    267    173    16511524    0    0   1285656 2570 8398 67 33000
20    267    169    16511528    0    0   1285628 2470 8801 69 31000
10    267    165    16511533    0    0   1286740 2552 8547 72 28000
40    267    161    16511538    0    0   2565748 2511 8849 68 32000
40    268    174    16011529    0    0   2565872 2469 8436 70 30000
20    268    169    16011534    0    0   1285360 2521 8500 72 28000
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
20    268    164    16111539    0    0   2566124 2496 8619 73 27000
30    268    159    16111543    0    0   2565540 2569 8593 68 32000
10    268    173    15611534    0    0   2565844 2457 7856 65 35000
10    268    169    15611538    0    0   2565720 2410 7965 67 33000
20    268    164    15611543    0    0   1286092 2566 9034 69 31000
10    268    158    15611548    0    0   2565784 2441 8157 66 34000
40    268    171    15611535    0    0   05596 2518 9034 67 33000
10    268    167    15611540    0    0   2565896 2524 8440 68 32000
10    268    163    15611544    0    0   2566624 2552 8705 67 33000
10    268    159    15611548    0    0   1285824 2566 8583 67 33000
10    268    172    15611535    0    0   2565956 2493 9183 70 30000
10    268    167    15611539    0    0   2565792 2570 8874 72 28000
10    268    163    15611544    0    0   260 30960 2543 8774 64 36000
10    268    158    15611548    0    0   1285864 2576 8747 73 27000
30    268    171    15611535    0    0   2565628 2479 8438 70 30000
20    268    167    15611540    0    0   2565736 2518 8607 70 30000
10    268    162    15611545    0    0   2566360 2591 8526 69 31000
20    268    174    15611532    0    0   1286288 2602 9044 68 32000
20    268    170    15611536    0    0   2565884 2569 8379 70 30000
10    268    165    15611540    0    0   05456 2571 8722 59 41000
40    268    162    15611545    0    0   2565352 2646 8439 68 32000
10    268    173    15611532    0    0   2565876 2576 8413 68 32000
10    268    170    15611536    0    0   1285960 2488 8329 70 30000
50    268    165    15711541    0    0   2565992 2520 8566 70 30000
10    268    161    15711545    0    0   2565356 2533 8245 71 29000
30    268    173    15711532    0    0   2566224 2502 8198 70 30000
10    268    169    15711537    0    0   2606196 2567 8754 71 29000
10    268    164    15711541    0    0   1286048 2545 8762 70 30000
10    268    159    15711546    0    0   2565776 2561 8665 70 30000
10    268    173    15711533    0    0   1285676 2532 8830 70 30000
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
30    268    169    15711536    0    0   2566276 2573 8846 71 29000
20    268    165    15711541    0    0   1285676 2566 9160 68 32000
10    268    162    15711544    0    0   1285768 2588 8283 68 32000
20    268    174    15711531    0    0   2566372 2612 9078 70 30000
10    268    169    15711536    0    0   2566168 2547 9456 70 30000
20    268    164    15711541    0    0   2565756 2664 9688 67 33000
30    268    160    15711546    0    0   1285432 2514 8107 65 35000
20    268    173    15711532    0    0   2565668 2605 7928 64 36000
20    268    169    15711537    0    0   2565696 2671 8476 67 33000
20    268    164    15711542    0    0   2566128 2574 8707 68 32000
top图：
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

caihe.li 发表于 2025-3-18 10:06:53

yejr 发表于 2025-3-17 09:39
导入数据的耗时更大取决于你的服务器硬盘性能，可以先用下面方法对比测试两个环境中分别的结果




冒昧留言，我看了下。配置文件一和配置文件二分别都是MGR 配置文件三是单机 这个是不是已经排除掉了。MGR事务的提交本身就是比单机的要慢，开销更大{:2_26:}{:2_26:}

查看完整版本: 凝思6.0.99欧拉融合版使用万里导入数据很慢