驭无殇1998 发表于 2024-9-12 10:01:19

后端连接greatsql查询,程序卡了一晚上,greatsql自动重启

本帖最后由 驭无殇1998 于 2024-9-12 10:44 编辑

操作系统:centos7.6
数据库版本:greatsql 8.0.32-25
架构:单机
规格:8核16G
greatsql配置文件:


user = mysql
socket= /data/greatsql/run/mysql.sock


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


user    = mysql
port    = 3306
#主从复制或MGR集群中,server_id记得要不同
#另外,实例启动时会生成 auto.cnf,里面的 server_uuid 值也要不同
#server_uuid的值还可以自己手动指定,只要符合uuid的格式标准就可以
server_id = 3306
basedir = /usr/local/greatsql
datadir = /data/greatsql/data
socket= /data/greatsql/run/mysql.sock
pid-file = /data/greatsql/run/mysql.pid
character-set-server = UTF8MB4
skip_name_resolve = 1
#若你的MySQL数据库主要运行在境外,请务必根据实际情况调整本参数
default_time_zone = "+8:00"
bind_address = "0.0.0.0"

#performance setttings
lock_wait_timeout = 3600
open_files_limit    = 65535
back_log = 1024
max_connections = 2000
max_connect_errors = 1000000
table_open_cache = 1024
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 = 768
interactive_timeout = 600
wait_timeout = 600
tmp_table_size = 32M
max_heap_table_size = 32M
max_allowed_packet = 64M
net_buffer_shrink_interval = 180
#GIPK
loose-sql_generate_invisible_primary_key = ON

#开启general日志
general_log = off
general_log_file = /data/greatsql/logs/audit.log
log_timestamps = SYSTEM
log_error = /data/greatsql/logs/error.log
log_error_verbosity = 3
slow_query_log = 1
log_slow_extra = 1
slow_query_log_file = /data/greatsql/logs/slow.log
long_query_time = 2
log_queries_not_using_indexes = 1
log_throttle_queries_not_using_indexes = 60
min_examined_row_limit = 100
log_slow_admin_statements = 1
log_slow_slave_statements = 1
log_bin = /data/greatsql/logs/binlog
log-bin-index= /data/greatsql/logs/binlog.index
binlog_format = ROW
sync_binlog = 1
binlog_cache_size = 4M
max_binlog_cache_size = 2G
max_binlog_size = 1G
#控制binlog总大小,避免磁盘空间被撑爆
binlog_space_limit = 50G
binlog_rows_query_log_events = 1
binlog_expire_logs_seconds = 604800
#MySQL 8.0.22前,想启用MGR的话,需要设置binlog_checksum=NONE才行
binlog_checksum = CRC32
gtid_mode = ON
enforce_gtid_consistency = TRUE

#myisam settings
key_buffer_size = 32M
myisam_sort_buffer_size = 128M

#innodb settings
innodb_buffer_pool_size = 8G
innodb_buffer_pool_instances = 8
innodb_data_file_path = ibdata1:12M:autoextend
innodb_flush_log_at_trx_commit = 1
innodb_log_buffer_size = 32M
innodb_log_file_size = 2G
innodb_log_files_in_group = 3
innodb_redo_log_capacity = 6G
innodb_max_undo_log_size = 4G
# 根据您的服务器IOPS能力适当调整
# 一般配普通SSD盘的话,可以调整到 10000 - 20000
# 配置高端PCIe SSD卡的话,则可以调整的更高,比如 50000 - 80000
innodb_io_capacity = 4000
innodb_io_capacity_max = 8000
innodb_open_files = 65535
innodb_flush_method = O_DIRECT
innodb_lru_scan_depth = 4000
innodb_lock_wait_timeout = 10
innodb_rollback_on_timeout = 1
innodb_print_all_deadlocks = 1
innodb_online_alter_log_max_size = 4G
innodb_print_ddl_logs = 0
innodb_status_file = 1
#注意: 开启 innodb_status_output & innodb_status_output_locks 后, 可能会导致log_error文件增长较快
innodb_status_output = 0
innodb_status_output_locks = 1
innodb_sort_buffer_size = 67108864
innodb_adaptive_hash_index = 0
#开启NUMA支持
#innodb_numa_interleave = ON
#innodb_print_lock_wait_timeout_info = 1
#自动杀掉超过5分钟不活跃事务,避免行锁被长时间持有
kill_idle_transaction = 300
#异步清理大表
#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"

#innodb parallel query
loose-force_parallel_execute = ON
loose-parallel_default_dop = 8
#设置系统中总的并行查询线程数,可以和最大逻辑CPU数量一样
loose-parallel_max_threads = 8
#并行执行时leader线程和worker线程使用的总内存大小上限,可以设置物理内存的5-10%左右
loose-parallel_memory_limit = 512M

#pfs settings
performance_schema = 1
#performance_schema_instrument = '%memory%=on'
performance_schema_instrument = '%lock%=on'
performance_schema_session_connect_attrs_size = 4096


开发今早反馈数据连接报错:

Communications link failure

The last packet successfully received from the server was 344 milliseconds ago. The last packet sent successfully to the server was 344 milliseconds ago.
这个一看是使用了旧连接,遂查看数据库状态,发现数据库几秒前重启:
data:image/png;base64,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

查看错误日志:

2024-09-12T09:41:02.841337+08:00 0 /usr/local/greatsql/bin/mysqld: ready for connections. Version: '8.0.32-25'socket: '/data/greatsql/run/mysql.sock'port: 3306GreatSQL, Release 25, Revision 79f57097e3f.
2024-09-12T09:41:02.841594+08:00 5 Event Scheduler: scheduler thread started with id 5
2024-09-12T09:41:02.841725+08:00 0 Plugin mysqlx reported: 'Using SSL configuration from MySQL Server'
2024-09-12T09:41:02.842655+08:00 0 Plugin mysqlx reported: 'Using OpenSSL for TLS connections'
2024-09-12T09:41:02.843208+08:00 0 X Plugin ready for connections. Bind-address: '::' port: 33060, socket: /tmp/mysqlx.sock
2024-09-12T09:41:02.843372+08:00 0 Buffer pool(s) load completed at 2409129:41:02
2024-09-12T09:41:05.669741+08:00 957 Assertion failure: row0pread.cc:1350:is_queue_empty() thread 139872770459392
InnoDB: We intentionally generate a memory trap.
InnoDB: Submit a detailed bug report to http://bugs.mysql.com.
InnoDB: If you get repeated assertion failures or crashes, even
InnoDB: immediately after the mysqld startup, there may be
InnoDB: corruption in the InnoDB tablespace. Please refer to
InnoDB: http://dev.mysql.com/doc/refman/ ... nnodb-recovery.html
InnoDB: about forcing recovery.
2024-09-12T01:41:05Z UTC - mysqld got signal 6 ;
Most likely, you have hit a bug, but this error can also be caused by malfunctioning hardware.
BuildID=029072ec4fefcea616d05fa2631b046215e2e6dc

Build ID: 029072ec4fefcea616d02024-09-12T09:41:05.669742+08:00 956 Assertion failure: row0pread.cc:1350:is_queue_empty() thread 139872779384576
5fa2631b0462InnoDB: We intentionally generate a memory trap.
InnoDB: Submit a detailed bug report to http://bugs.mysql.com.
InnoDB: If you get repeated assertion failures or crashes, even
InnoDB: immediately after the mysqld startup, there may be
InnoDB: corruption in the InnoDB tablespace. Please refer to
InnoDB: http://dev.mysql.com/doc/refman/ ... nnodb-recovery.html
InnoDB: about forcing recovery.
15e2e6dc
Server Version: 8.0.32-25 GreatSQL, Release 25, Revision 79f57097e3f

Thread pointer: 0x7f36c6f8ed58
Attempting backtrace. You can use the following information to find out
where mysqld died. If you see no messages after this, something went
terribly wrong...
stack_bottom = 7f36aacbeff0 thread_stack 0x80000
/usr/local/greatsql/bin/mysqld(my_print_stacktrace(unsigned char const*, unsigned long)+0x3d)
/usr/local/greatsql/bin/mysqld(print_fatal_signal(int)+0x3cf)
/usr/local/greatsql/bin/mysqld(my_server_abort()+0x7e)
/usr/local/greatsql/bin/mysqld(my_abort()+0xa)
/usr/local/greatsql/bin/mysqld(ut_dbg_assertion_failed(char const*, char const*, unsigned long)+0x31f)
/usr/local/greatsql/bin/mysqld(Parallel_reader::dispatch_ctx(row_prebuilt_t*)+0x405)
/usr/local/greatsql/bin/mysqld(ha_innobase::pq_worker_scan_next(void*, unsigned char*)+0x12b)
/usr/local/greatsql/bin/mysqld(handler::ha_pq_next(unsigned char*, void*)+0x270)
/usr/local/greatsql/bin/mysqld(PQblockScanIterator::Read()+0x25)
/usr/local/greatsql/bin/mysqld(FilterIterator::Read()+0x14)
/usr/local/greatsql/bin/mysqld(LimitOffsetIterator::Read()+0x12d)
/usr/local/greatsql/bin/mysqld(Query_expression::ExecuteIteratorQuery(THD*)+0xa72)
/usr/local/greatsql/bin/mysqld(pq_worker_exec(void*)+0x90)
/usr/local/greatsql/bin/mysqld()
/usr/lib64/libpthread.so.0(+0x7ea5)
/usr/lib64/libc.so.6(clone+0x6d)

Trying to get some variables.
Some pointers may be invalid and cause the dump to abort.
Query (7f36f843c030): SELECTid,user_code,user_type,user_name,user_name1,user_name2,status,login_name,password,super_admin,login_chk,other_flags,ipaddr_lim,login_time_lim,tested_pwd_times,mmids,cbm_id,limb_code,be_date,le_date,country_code,mobile,email,cbm_admin,user_category,muteb_date,mutee_date,real_flags,high_flags,reg_sys_code,reg_channel,id_number,id_type,country,gender,birth_date,image_path,full_name,password_update_time,cbm_code,creator,create_time,updater,update_timeFROM ua_users      WHERE(user_code = 'UCUS23032200001') LIMIT 1
Connection ID (thread ID): 957
Status: NOT_KILLED

Please help us make Percona Server better by reporting any
bugs at https://bugs.percona.com/

You may download the Percona Server operations manual by visiting
http://www.percona.com/software/percona-server/. You may find information
in the manual which will help you identify the cause of the crash.
2024-09-12T01:41:05Z UTC - mysqld got signal 6 ;
Most likely, you have hit a bug, but this error can also be caused by malfunctioning hardware.
BuildID=029072ec4fefcea616d05fa2631b046215e2e6dc

Build ID: 029072ec4fefcea616d05fa2631b046215e2e6dc
Server Version: 8.0.32-25 GreatSQL, Release 25, Revision 79f57097e3f

Thread pointer: 0x7f36c6f8b070
Attempting backtrace. You can use the following information to find out
where mysqld died. If you see no messages after this, something went
terribly wrong...
stack_bottom = 7f36ab541ff0 thread_stack 0x80000
/usr/local/greatsql/bin/mysqld(my_print_stacktrace(unsigned char const*, unsigned long)+0x3d)
/usr/local/greatsql/bin/mysqld(print_fatal_signal(int)+0x3cf)
/usr/local/greatsql/bin/mysqld(my_server_abort()+0x7e)
/usr/local/greatsql/bin/mysqld(my_abort()+0xa)
/usr/local/greatsql/bin/mysqld(ut_dbg_assertion_failed(char const*, char const*, unsigned long)+0x31f)
/usr/local/greatsql/bin/mysqld(Parallel_reader::dispatch_ctx(row_prebuilt_t*)+0x405)
/usr/local/greatsql/bin/mysqld(ha_innobase::pq_worker_scan_next(void*, unsigned char*)+0x12b)
/usr/local/greatsql/bin/mysqld(handler::ha_pq_next(unsigned char*, void*)+0x270)
/usr/local/greatsql/bin/mysqld(PQblockScanIterator::Read()+0x25)
/usr/local/greatsql/bin/mysqld(FilterIterator::Read()+0x14)
/usr/local/greatsql/bin/mysqld(LimitOffsetIterator::Read()+0x12d)
/usr/local/greatsql/bin/mysqld(Query_expression::ExecuteIteratorQuery(THD*)+0xa72)
/usr/local/greatsql/bin/mysqld(pq_worker_exec(void*)+0x90)
/usr/local/greatsql/bin/mysqld()
/usr/lib64/libpthread.so.0(+0x7ea5)
/usr/lib64/libc.so.6(clone+0x6d)

Trying to get some variables.
Some pointers may be invalid and cause the dump to abort.
Query (7f36f843c030): SELECTid,user_code,user_type,user_name,user_name1,user_name2,status,login_name,password,super_admin,login_chk,other_flags,ipaddr_lim,login_time_lim,tested_pwd_times,mmids,cbm_id,limb_code,be_date,le_date,country_code,mobile,email,cbm_admin,user_category,muteb_date,mutee_date,real_flags,high_flags,reg_sys_code,reg_channel,id_number,id_type,country,gender,birth_date,image_path,full_name,password_update_time,cbm_code,creator,create_time,updater,update_timeFROM ua_users      WHERE(user_code = 'UCUS23032200001') LIMIT 1
Connection ID (thread ID): 956
Status: NOT_KILLED

Please help us make Percona Server better by reporting any
bugs at https://bugs.percona.com/

You may download the Percona Server operations manual by visiting
http://www.percona.com/software/percona-server/. You may find information


开发说他写的后端程序在执行任务,在执行的时候会卡住,然后就报刚才那个使用旧连接错误
现在每执行一次,greatsql就报一次上面的错误,然后自动重启。。。。。。

现在不知道啥情况了,准备先升级到8.0.32-26再说

yejr 发表于 2024-9-12 10:12:15

这是触发了InnoDB并行查询bug导致的,请设置 force_parallel_execute = OFF,不要启用该特性。

可以参考这份FAQ: 故障排查 | GreatSQL用户手册

驭无殇1998 发表于 2024-9-12 10:45:29

yejr 发表于 2024-9-12 10:12
这是触发了InnoDB并行查询bug导致的,请设置 force_parallel_execute = OFF,不要启用该特性。

可以参考这 ...

是这个问题{:5_235:}

reddey 发表于 2024-9-12 13:09:56

驭无殇1998 发表于 2024-9-12 10:45
是这个问题

很多网友好像都遇到这个问题

yejr 发表于 2024-9-12 13:22:03

reddey 发表于 2024-9-12 13:09
很多网友好像都遇到这个问题

可以记住一个窍门:数据库实例进程发生core时,如果错误日志中有PQblock关键字,那肯定是InnoDB并行查询特性导致的了。

推荐采用新的Rapid引擎来代替InnoDB PQ:https://greatsql.cn/docs/8.0.32-25/5-enhance/5-1-highperf-rapid-engine.html

reddey 发表于 2024-9-12 14:49:18

yejr 发表于 2024-9-12 13:22
可以记住一个窍门:数据库实例进程发生core时,如果错误日志中有PQblock关键字,那肯定是InnoDB并行查询 ...
这个报错确实有data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA2QAAABPCAYAAACEawagAAAgAElEQVR4Ae1dQY4kO27tS8zSmIWB2XhjGD5C7mZuMeuuzaznEF0L7+cEjTqAb9BAw6fof4swFNKjSIpUKLOyuiKr3gf6R2RIIh8fKUqMiMz6sp3uv1/by9fLdrlctqfvvxy6n9vzpbQ9bS9/6KY+poyTsT+e9/PLt5+6s5z//Fb7Yszl68vmNW4bdPa+zz+27df3p65n659FVsMxyPzjZXtCWzsWefo/L1u3dTzPm7Wq4UxstTL4iQyQATJABsgAGSADZIAMkIEzMPDlDCAGDFK02KIDBZQtYMaCCUXR09daNI0F2WSMLgIFRy/GvGwUjSii0C5HVeSlfVzxGdsJllB8+qKUBRkY4pEMkAEyQAbIABkgA2SADDwKA+csyNQTJxQ8G4ojVeBsG4qTy+afRJnixzw1UmMutuArOp6lIFNFmxm/bSiYStEl+JrH0WaLxm0T/IHO+sQMBRbw4bMPpaydBZlnip/JABkgA2SADJABMkAGyMDZGThtQdaLrVqY1ELHFSko0nyR01iXokwXVHiN0RR2gZsO+qHwWi3IQvwOZy3isoKrY4xlsSDrDPGMDJABMkAGyAAZIANkgAw8BgMnLsi2bUNRpL8Xpnlt7b4oki4YrwoyFGnDEywZVE+O+qHd60ahZuWrp23u+2PyaqM8bTsqyLJ2FmTOhfxIBsgAGSADZIAMkAEyQAZOz8C5C7JNvR4YPNHKiiJhPSjI4oJJRsjJUb9MdzzumoKs22yLOkBjQQYmeCQDZIAMkAEyQAbIABkgA4/OwLkLMnklsf6ohi9QsqJInHK6gsx9Z02A2pO5Xa24GwpUPiGzLPITGSADZIAMkAEyQAbIABk4PwMnLsjwJKgUMXjC5AoaFFxDcVKJx9Mq/SuLKHb8j4B4V0k/9bpj7wNsqz/q0fv7orLLVGczu9A24GJBphjkKRkgA2SADJABMkAGyAAZeAgGTluQoSCS72iFhQgKtfFXFqUYK9/ZMsVLPsb8yqJ+OmfG9+Lqql9ZBP7LZRuKstJmikqlQ+sWTO7HTfZQY0H2EDOOIMkAGSADZIAMkAEyQAbIgGLgnAUZCo+kSDEFjSp09A9k7MVS9nfIZmPkZ+8nf+y5/ABHky0FYyMVhaDB6No8zv2zsXX8QRM9xuus4lmQqbjmKRkgA2SADJABMkAGyAAZeAgGzleQoRi7BE+Bsja5jj/g3Mai8NJPmcQt6ikUfvnQF0WlL2SgT/uJ/eEJXpM7K8j2LoM8/wRPAJafNNmeRW/8PbremwVZ54JnZIAMkAEyQAbIABkgA2TgMRg4X0H2GLydECULshM6hZDIABkgA2SADJABMkAGyMCUARZkU3oeqZEF2SN5i1jJABkgA2SADJABMkAGyEBhgAXZo8eBfwUyfD3z0Y0kfjJABsgAGSADZIAMkAEy8DEZYEH2Mf1Kq8gAGSADZIAMkAEyQAbIABl4AAZYkD2AkwiRDJABMkAGyAAZIANkgAyQgY/JAAuyj+lXWkUGyAAZIANkgAyQATJABsjAAzDAguwBnESIZIAMkAEyQAbIABkgA2SADHxMBliQfUy/0ioyQAbIABkgA2SADJABMkAGHoABFmQP4CRCJANkgAyQATJABsgAGSADZOBjMsCC7GP6lVaRATJABsgAGSADZIAMkAEy8AAMsCB7ACcRIhkgA2SADJABMkAGyAAZIAMfkwEWZB/Tr7SKDJABMkAGyAAZIANkgAyQgQdggAXZAziJEMkAGSADZIAMkAEyQAbIABn4mAywIPuYfqVVZIAMkAEyQAbIABkgA2SADDwAAyzIHsBJhEgGyMCJGfif/9o2/rudgxO7ltDIABkgA2SADPwOBliQ/Q6WqYMMkIGPywCLsduLscId/yMDZIAMkAEy8MkZYEH2yQOA5pMBMvBKBliQsSB7ZQhxOBkgA2SADHxuBliQfW7/03oyQAZeywALMhZkr40hjicDZIAMkIFPzQALsk/tfhpPBsjAqxlgQcaC7NVBRAFkgAyQATLwmRlgQXZn7//6/rRdLpft6fuvO0u+g7gfzzu2y7efdxBGEWDgVp9fP+7X9vL1sl0uT9vLH9DO4yEDt8T9NWPepSD7z+0f//Zl+/LlT9s//rn6oyL/sf3tSxnz5+1fvwXzor5DB7IDGXh/Bq7P1++PmQjIABl4HAYeqCA762b05/Z8KZvk562UOadO2subTGvT44Tz+yBd97nldX0c7HrLOWCxQeOHOC7HvbL2aIxuL8XNP/+y/fte7JSCx/377/84fIL0r/92Y3YZs2LrgxZkf7xsT3s+LTm1/fv6sp3w9ta2bW3OnBafiucTnyIPir/h95Pd2ATO7Gbrz281Xp9/vGWehiOho8+TDBdGrBxhY/dFfvMP9va+Hcvzj6YN8/mGOeKxDPYhB0u81D3Yip1LfRp2sSUZNPAwu+ENPgTzPW/eYw2HH3LfGVOEx4g/LxOyy1H1FxmtfcaBUc4PmoHHKcjg8JM5GkkDycJ/1mS/+/kih6e24YhEJLzfGCerfPl+/vORaW/ZfiYsd7dzMe6N3umYtkghxo4KstlTqb//eSzgfEH3b3/Z/m94ovXxCrJhY6M2LZcbNnTGn2/yIS/IMJ+ONnNvAisT+g65MYOir4OraGO/XzuJ74ETa722YWv5ovu7FUxvgR1+1PMD58hJBtzKh7HA0/4YbZ737zxs29bwjjLmuCrfcVGR54q4/1yTbYWfYb+xxXSdFCuB371cyL9LjGO9QhzIURVNBjs+aD8GfWexpgsyiMNNqpvjUAR9ypOHKcgwAfPJ8R7+QzD3JIBJd23y+S3oMWmnk2W06bdgu5eSJRvvpazKWfP5yOvauPtijaWN2OJ+D3r1lpiYjKl+63N+/xtkeEI2PA3Da3tfti++TRdjUdE1bf9YBRnmQvg6bvFFsMF5/2jMC7JTrleTmH5PLuH7YW1Xm8EzrKfAOWJp+dPHaON77P8atpGrL5v56oHiauBxRV1SNMFm8zRklwccwSY+0Ffng8qZQR9/qeoOxiCO3av7mHM35wrFYbH3WZ54emT1c6yvF2nW70mMKJ03+a1AET7807aic+6f7l/3xAsmA990z4jO5djsX+6vx/L8QQqyfOF7VxcGwYoAt5PxXVF25Zi4s8kS2NQFPMDZio13NmPJ5wGvS+PujDUUF2AL+z3qxVtiIh0TLDj6CZkvuvYnWyjK9He3cO3L9re/z74D1vv9+1//U736+LEKMmxubt6UvEts5uvSKe1JY/pdyBOlyIOh70+EGTiHtb1hHPEnm3Cx/IYT5Gpf/KmvS5hCbVXFHz+3n8n3kuNYvtK2hnvgboKv8j0WZDGeIqjNR1eoTVTYpoYRfsz1aF1BwYOYNT76tf38kbx4jf6zfZlFqj41P1wuG3CrxoNTrGXP5ms3ZtDVfoNM/k6B4XHxw0MUZFEijK6JzWmA9+DF42KfIIxcJL8k2KMJa8YLoH6CMdBfjtOJpDBgzNgfiSh5vxfqU17QYduAb9TRvx8HHDXxQ7dOTOC5JlNwMtxlW7KtYgMu0e15C2TVvi6hg4OjR/phP2sXWIN9PpbQXo7Ar3n149AHNuq+VdaKfvRBLGi/aET9HHq1PosNPq4yjZ2OJ9MmPskwNLl64ZIxwO/8J7AtpsJZwW9xt87AGC54nq92lzEb065rruZPyEqxNRZP//fXP9VXFcMCzhVo8qRMF3ReZi/c6nfYdF/IQ5+o7b82waRembRFIOT04/DdN/OkL9OH6+2pocyPzNfi9PFkiJcgnwZ9orvoNnZ8XEQxPMYvZGAOy1HH+G6Fl++eeJg+8zyK+Su6bs2NelMv+dHfdYcLMP8qL4JB7Oz2yVwRP1guwZn0g4pyzOahbhOsefwIPukbxInohW3IQZPcIrFrbRJRUb6QRn3S+ApzVO8HrkyelWbgbljAXfBqGeSsFG/gzvpnjH2BkZxUOQlPwZiK0fvU2ejGwa7KT4/BkS/I8fK7wNju1g5uQ39Bby67azmIcSkyeywaW6Y4jJbhQ/cHuAh80+QbnYMkfaHJCnnR/XgeMfAABRmC2waLnXjOtDBIEXQ9sOsCZidNl/vS7hrU/jYZFX1NnixAFUMf7+6GyGLk9bfPTk6RBll6oa3nmovMriJX9zua+LlN2wYfBNi/RXdX0P9pe/neftlxXwg7nty2cQOAxDjyoBbVlN/u31SnSx65vqftKfiVQ8jNk9ZRrPxsv5448mtlKl7V3cyuP5PTea9Rqv9/hM3OA/hgx4V5pjY5pb1jBl7lJ6W6425zJZE3bJ6zfkX31+BXTtHf+VnmsMO/29Dk+A1LX8SUIYdPyHzx5D/3Amcv7obvi6GA0T/yoWT8PftBEd2/6IAcX5DhevTDIuWa769ljWN6EQe5ejxwf9mkn851QR5UTJtTxA9ish9VvKd54TK8Bgl5T99X59E4dyCjYwny+zImzJ88j+a5Ss25VF/PjbO5UG1RnO5ewLrzvL20Xxbe+4n/gD3CYWWBs3GN7Wtgzyk1BJbsbtFyTV9832nwX5ZbsA8YcktTDu6z9tZN1tiDfrAl4kpkqCdE6G/4AybxlYAITuBHHSul2xj7wWBzaeZn07F9qP2d3iPsPtejv9sLgZeYxwpg1ge2GF6VEbOxqtt+msqCLcP61DnB2N0OsTXIOV5pk13x97k8PNcy/byQ6HOTdRDH0Uhe27bzF2QISudgBGI4IYIx6O83WL++P5ufEJd+ZRI4nTpg0M/rj68j4MdNgF4AjCzYYDa4FcHPb3pBK7L159IHSVRvjo8Lshh7XxSH73eYBKAxdP1lYRuSnozTY/qXf72ekty8DGBNN+uD7+CDnswam9uz7qt4tzoxviQ7KwNYjP9UsGTtuG43MnVgb9O6wKu+pv3jYlZ4dnFwJTZtl+D6+rT/Gl7YpuMRfGqOd/2wBTGAz97Xv7aXb/pX9pQfnEwsgoVPjSu+y971+RgSG4cc0Mb4jcxRQYbvl8nTo6hQmRdleBLVX2/shU15IibFzV7MqTbRqYuouEAaCy/g9N9/U/J9sfbPv2x/k1crMR76+jiD18RD3UwY/6l4lVPElff1/sQCMdVyivcXNpMuN6V+T+dRi8VBfvxEvGLvcWfzS7/ebe/Xwjzans5YOSofeFzgzM0bvV4MN/EUV3Y9VPPQ5UPx0eIJePd2yLzV+aTIhB2Zfa7/+vqhbHIcpbmlxUb3mTc6yRm+G9Zsp9d2QzzY/N/7RO2wqc8J2DLw3QXJGXxjfa/X6rb5R9HgfSKS+picK90Zcexshe8znoJ22CB6MZ9nWNvcms27rK1YscwxsLiY1ftCz73es1Y9/oaN9kn3u7ALnWL/GCPoC+6KrfqfcImOcmyyMv9IP55EDJy+IMsCG4ESBsbKpIzYWL5TGyW+KjDEBTwyAZzyoR3y/ebUjZt9hEw9MaJrIgM6XQLEQuE2LzIMk9skFMhyG+M2SJKIesoDeeDveLFIkkhqY9Ifig22GLfcFXQbEGAOY1H487xiwQmK9BQLeLWyoN8XFkWMtOk4EJtjeWbcELMY44q/XSY41vhwzS0MiBvBBbl6rADtJ/DvgKt2Qb4wvsAY0dU3B+MGtMqJeWu2aDml+6wgQzFmiiZfqMyLsSJ/VpCZ4kaerkGHfkqGayiQ9M/1q2siI2nHK5Sm2ItssPpgw/DjJt27spHB4m/8KP0QK7fnR/hXy8e19XnU4iGIRcThkMdaLGq9YlY6J7J8JCPdSTLnonlQRkKvyeFKZNgOHbf7ABqEd7fpqzHg8obkU3+9SputLdDXeo7fmwE/gT/LGPjU+K6NGfyslNVxMd7ercW0zy29g7rRmufI0H7YVWTDl1M9Van4JeIDckKfZfiS/Gls7B+qfidL29K79jPgMvYhX1RZIUddgpzB35FvZ21FALiLxooCYHX7idIO+SbWZCBOYFctlqyuPj+tDIzR8Yi++lrVATuQj80xigvcwDH8Ay+PRwycvCBrgRI4HoFig62ZG05aBF0N3nCcmkhZ+64BEykIuggXJpedMNo1wIYJkdutRw3nsFsnSY0R7foahKQ2HWHx2ItATHqXTHdd6G/vuJiJHtz1rjCjseCsGTKxEb6JF3qN28lsojO7IDeMmZTXnrTDcUXnYEvM61T/IEOMmS7OM5l5PM/x6fiHfH1N7N3jN4qdzpkZp0yCXMNpxEG7ZvopOYJFz5Xmy2GMLsjU96/M3yMz3xWzhUr8mqItcFDMjE/IdMF1NGbUi++NxUVdkYenWl0PxnQsVm+3p+v7x+w7c5r3/RxxhBzh5+NRThoEVqn61bqWI7Uvw9iBqCiGsPkI1qdsjuC6z3fms8gDD/FcALR6vD03Tu2uzAV/kB76vG8sqpVP0G84KP4RHpQU5FO9xgXncX4AZsRVOXb8wBGP7blnjJm5f6rPu55qTYRF48K5HncUD1k7rkcyFbdyqrDp/Cft2YkaF/kO82VRZvWH4zachwpP1o7rwbxXo80p5moUD7O2ImS1XcdfVw5/ad/31n6GfskNG9isfBHjgt+O9DXNkBvu05qsRR93W3hWGDh1QYYEqRMg3DZrCzdTbSACEsnfy57KdTKiiRqNh86ofxWJidUmBBYdNZFg93jEZEKydUc9MTCR9LUjmw6xQL+ezLDHJdNdF/o7nG5R1X4Bf/CZPWq9URHjGIM9ok+PBzZ9TY+P7Yp8jlHAHvl+Nm4fP/jrev2zO6K3YsvHxfhGDI3nML7hA8SHjaFcd2U85HTgMd5cwWcx9/1Jgo7Nve9BQTYWLmOR04uYqLhBYdOLoqhQ8jLGIg5y+tMwFFd5QYanc133KDfCXK5BH75n1mUYrIZ4+wH+NhsXzOEwfux4iT2Z74iretS+DGMH4qDT5M48joHbz3tctznMYuqFSDKfgElt/GJ5Lo8F86CImtrddFXcei5injodCtvqKfRrroQn72P4IfEneAhlhWM6fujUY7UNwDnGjOZFj6jnVW7XM/YoV5qvTXyNPecYJ/GieMvs27UhRoKnNiOa6AriIuKktR3YCKmVbycHdvi4wCDgD3SAuz6/MCg+on/EVxQLWko+FvwkRdQuBH0WYyZ7ewkFcLvpkGNe1acsBM+DH67zsZLI03MXZJPkcrSIIFiCSSlex8R2VX4etBg5D95ofD45E5nANgQ7+uMIjoLXRiIOomu7qIlNh1iiscDlkumRLpiljuDTv0fdXx90SSu1UQltp/BL3+xFtuhxsV3AqBfqOmouLx9XR4/t1+rvRcQyf83cUXfnAbyNC1WMTzYbWOSbj0a+uo5yBgz6O3u57joWY4zsICbCflp9MAabeyO7jNEFmXkSlhUq6hcNV/qHrwgeFXVROwqkawqyUc71Bdmft3/BBv+ds8LdwX+Dzw9zEgRi/o15KPJ/dA2S4Hs7j5r8IE8PmJug7LroMSfZfKqdgNdiKm2wey03Qs4Q14IlwpHokDHrJ9Dv8wm4MriWfV/1Q/YKR9DnccASyNJ46rUxvjCmHKtc5wvdYT9vHM/2LConagxd1HE87gVrEK+7jCjndeGLZ1GsYGjDd2AjesfczuMOPhp8iLhpRfnQDqXqOI2HKVfgwPt8jr2rXu2H2Ar2f7uwJmf3N2S6mz/hTYpMXkco+XCIpaZn0cdKIk9PXZBhAiWOxcQbE20P0qjNeD3QAblxwutPYLL2cDwm7xC8Dc3Q3ifPPHHoCWcs65tZzR/06GtlWLse2wQsyaIDmerVj2EDbqAhWS1MelnMAt3wndHbbTn0fcNUky7kH2ATnehfhYQ+P+RVFRzeH7vYCAuuLeovcoDZ65j6vGOLYiJfqGJ8uzlKn+V8b03/B24xD/A59i/0u7uPiFHNAa4lcxI2Wj3JYnNDQbap75aNT9B0IYciKv/hjnC8yO/FV39ipa6F/ZT+oB1P1b5c+R0yGeeLstT7tQE+77GInHSQQ7LYl7xi42TUo4CFsvL8i/hB3EISdNi4Qqs/Ip7tfEevdB4B62puzPpDUdgOH/hNJwatH8GJ50pyF27k7CKhN+bEa72GI+CIfQNf2JjB2jlgV0AqhiOemnydo5QMOZ3lLbR5Ge16mT+wsc+lJhk+9mNF8eoJ/BPZ29oWdVSs3s/dDyPnaMvGFEwzfNbGbA7vvcCXn2OlEW1mbQG2iBert++fXKz5buVz5vOhDXbfqSBL9V7n48ikz3zttK8sTidD8RiC3j2uRcLZ7wSpiV+u+wksfV2/MnZIWHuUYFL5Cd9DCDLteDUZzCRds8Pj7r+y2OXqPsDgOYgn77FN8IV+UrFbjEm532XRieZAphqncYtMxZHoVj7Svu9Pt5oPIFvJqC0/t+fo2o69+7Nz16/t41W8eR4wxvr8gAN1t3Pwk9owWvtimbH+xgdwa/7weozZ6LT+7TCTCZ8MvpvKbbHafp1x3PQU23QMFSCwV228Yc8wR3vfYf4iJgwHfe74V1hg3+gX2KB/9fG2J2TlqVovUPyvGLaCSJ4qfdnG4gdPrurrgLYo60Wc/QENXFcFmXxHLPp5e/T3xWC/PuCa/soiXn909sDPxj8tEOE7F6uIz+IjH4eSHyVW7FzW/tVzFjL1NZkVkGUwJvGg5u8oS8WdkVU0lTaNFTGtrwki+Z6KmUvAOeRktXkb8iD0lM2an4Mdr7UF133/jm/1DLx7P5bxaNNzVK4Zrqq2vU3xKr5W19L1Q3On+yM+29MEw0OLT3PNGN64HTg3nXquM3p9n/JZ+Ur3Few+VryfMN72qzzZa5H2+TXoin7wqe91cq6s9OrnAFOSE0JfqxgSvRiv+bOq90+QF8Vl6YB2HZv96bTLS4dx4gAA47DOlTmhfxm8cy72FVESDw6HU1M/QsbiXFbYRm6arANuQxi8eNbvkDWnTpMYEouv+NVPgKqg6Ek86K9+7Q/9THAjUBDkSi6acEzHY2xL6vtmT52P+jL77KIpSUHJ2gsG/P0vjRUTSV8DLn0NxsgRE9ZzVyY72vRkBvYgmTaZMe4mX/sdmI19pWDG38fSem0iqhwDA3CONpgNjV7wnM7C6/LfIVvgtccKbPHYgB2OiHntctzfvivDIhzRNahox5lM+G5MxjE+iIbMaBNtNhqedx0PaoH1c6h8vurvkCWxpeXY2MAi7GLulidkZYwvyrIfBAmfRKEg+9P2j7/+uf6RaT9+GIdCShdkBQeu47te7hi9VqmLRae3fx8Ncq0+vPIoxdx0zrU5MeQnxJqfM+Uz/JP16X87S+ddxKe+htgN5xHutrv4LGMgS2JU95nEnb3ZA/w+DzRUiZzrc2ORN8mPZT4O/KM/uBam2gmwqw0h8o74p3YFV2M+Ke1dTvdLvyb86pyhsV7JEbBEcsPcAt60Tk0FbM7add/V88SmPW99t2tAmKsxXmLygE9wK/2D+EafclT9tEngNvaz7lnPa/8o9md4XTyCf4Opj59hCbnTMCFb245z52/YHsVVv2Zthf7ejlxn+8mNdujWR4dDw+/n2VzuPI0YsocWTdaS3o6AZ5WBUz4hQ/D2BJy5ywdMC1QkHBMUvm+cOGa6MUFmk3g2Xi8uPcDd5PKmwhY1ybx+4KoyJxxAluIFY71MDyPCXsdEkxlcX2/buPCrO7uNgxoXkd6GGnbu/RUGc70mt8xu8CJ+2hN6bFfkc4zP5BekdhzsQdJ1C8tu2rp+8R8WjSt9brGJtP0kty3GJ6OBxW3IxnZwkCX9MSawkQ1xw++Kg1znZP4onxm/vqIgqz9ugeLKFUKq0LFPwEoRhTHthzJ8gRQVUVJ42QKpYlBPr6Z629O7vaAEBoXbFIFxQdaxl3F/3v7VnAHfyZzz81ecpk7g2zQ/IiYRU3VeQZdeY6Jrogmxa2KozVmz2ZMR/Q56wTb08fO94PNzHthVDuvi65mz/+bc2ORibmsfmFgX/cDvMaMDsL+2IFM3ldzTUPhLY9X+BBK/Yb2Oo+4X6LM6YGfCQ/NPzKEgvOEE/COuFc9NmvjSxGxttG2wocvSnMq5jmHMBzXvSj/LjTWr6kx4sl33T5XvPPbhjxBfkSAYAxmztoYFHM19N3IXcTBgdbxVG2Y4u28i+dENlTluTThiafRNjDvAKeKarCDmpAtPUgZOWJAhwGdOT+15w4Y8aN9Q6RuLvoNNSGw6Wb8x6vcTvxqbd+D1zYx8P2xI7vGCch+D315H408vOO1pFwqbex4PX2t8Q933tGMq6z6upxQy8D4MpEUX1otxo/s+QN9RK/YJOm8ewKm5/Gz7wAPQn745WB8/PSfrBJyvILth4q6b+4qeLem+5WbyFehuG3oHm3AXKXyydRuqE4/CAnuwSNyB1zcj4d2woRA84O6Vhr99QYbXFpUdb10UyQ9r1CdR/ZVA/bTqgc9f6XMOJwPvy0DLbf6mZNvLfKg9w41E31Jc3TLmRngcdjcGWJC9hsrTFWTY4K8/bn2N+atjFzfiq+JO0e8Km/ZN/HiXD77C62KnMOtNQaxwttLnTUFOhL8fNomVK+6QTgxJm35HQSavh8CWty7IPrr81JtsIAMPwkC70dX3LS3X+iLtQcy5K8wbC1PkcrySyML2rl65r7AW//DV57hBf18Ki7TTFWT3N5ESX82An2zu/efPkyjfr6B5tQ/fRQCeiuH997GovzcsLOJvHpOYE6Uo++gF01vbd+8goDwy8A4M4KbT8w+uE0I/3nhiYSqU8IQMZAywIMuY4XXLABKrKcbefoNtQbz3Jy6013lAF2S/J1Z+W0GmiXjrguWjy9dc8pwMkAEyQAbIwCdkgAXZJ3Q6TSYDZIAMkAEyQAbIABkgA2TgHAywIDuHH4iCDJABMkAGyAAZIANkgAyQgU/IAAuyT+h0mkwGyAAZIANkgAyQATJABsjAORhgQXYOPxAFGSADZIAMkAEyQAbIABkgA5+QARZkn9DpNJkMkAEyQAbIABkgA2SADJCBczDAguwcfiAKMkAGyFJg/b0AABI0SURBVAAZIANkgAyQATJABj4hAyzIPqHTaTIZIANkgAyQATJABsgAGSAD52CABdk5/EAUZIAMkAEyQAbIABkgA2SADHxCBliQfUKn02QyQAbIABkgA2SADJABMkAGzsEAC7Jz+IEoyAAZIANkgAyQATJABsgAGfiEDLAg+4ROp8lkgAyQATJABsgAGSADZIAMnIMBFmTn8ANRkAEyQAbIABkgA2SADJABMvAJGWBB9gmdTpPJABkgA2SADJABMkAGyAAZOAcDLMjO4QeiIANkgAyQATJABsgAGSADZOATMsCC7M5O//X9abtcLtvT9193lnwHcT+ed2yXbz/vIIwiwMCtPr9+3K/t5etlu1yetpc/oJ3HQwZuiftbxhwCKR1iH14fC0vK2IkMjAy8WWyPqnjlkzHA2PpkDqe592TggQqyeCNzTzJuk/Vze76UTfLzVsqcU2+slpOltek2Xj7PqHWfW17Xx4HLt5wDFhs0fojjctwra4/G+PY/XranPQ+UXBD8k5sgsQ+vjwWF9Q6n0P/84w7CPquIWQx8fdlOc4vOx673F+z4+rL977cay28ZFz+bDpk3Mlc8sNs+19iu6/OaBMxRe2MVOK/mAnwjLwz2dX3g4L43dGtuv0qmYL6Gt23bMM7biJgCB/p4ODfW8MM/4BB7shWfy1iDG2si8vmVXKwoZh8yoBh4nIIsm+jKmPc4xUYGyc5/fg9Mqc5FDk9tQ2pca0DiN4n1aNDr2lf58v3859eheN3oM2F5nSXB6MW4NyOnY9pCrWMMcac3Gvpc9zWK6oeMf1y/ehMY6JhdSvXArgP8M9n3b2v8H27k7q95KhFcab+b85M82Z7GdisOFLd1s/oWm1G/4cXG97JdlP4p52mjL3KuwA9+gjddbuKiyQvn8CxmXjvnlB2lSMEeJaVMGjR3V/BWxkOnx47rZj40f2e+dmNy/JM4uly2kHexdds27QOPu/W7ye9aB8/JwAIDD1OQ4Q7G4eRaMPp+XZC4+kKLjU2ePO6n/WpJSHBJ0qnyRpuu1vOeA5ZsvC/ANZ+PvK6Nuy/WWNqILe73oFdviYnJmOq3Pud3VrCoT+dWzl8WC78r70H/kF8nPOTWvHELuM42cm+sPhUPXEMMYH7do9BIta83zHza2kwcpHatq4x6IrZt8dU317euoYjl/UnJt2fzBkuEw17r+sMi5hYuIk53pSoudMxAx0oxYcG3T9qGp+3523VfozD8tTd/QjXRxSy22vU1n16JP+E3ji8PWvmgFIvaD6prlXVlcarG85QMrDDwIAVZm6APsAAjma0lnhUX3bFPliy1CiwGSWLSXU95vmLjnYEv+TzgdWncnbGG4gJsYb9HvXhLTKRjWi7y8+OVHGaxgE2F2SC/gR+gf9CT8vAGIFZFgusHWA+6SdhknmBTl/q0bU4DXu+/IZ3wAXwBjs5nflZjGTxP9AQi6th5EXM1F82eYW5N4hjzMSsQAujqUrUZexDIwmfVMThtfF1dyDZR8J3PjxkHAYJtuxL/j5/710VGUSi23M0z3RG4vs2/X3+1z7UOnpOBRQYeoiCLEkp0TWzOkoJ8ob6/GuGTlJGLhJncqYo2S2a8AOonGNPfcz54pK4wYMyQ2FsCQ3s9YkHqutPXCVQX4Bt19O/HiZ496UYLnk2E4GR4p3vJtgoOuES390kgq/Z1yRixIa9OBDwVlWE/axdog30+ltBejsCvefXj0Ac26r5V1op+9EGMJ/YpcNCr9Vls8HGVaex0PJk28UmGocnVGy8ZA/zOf4LbYiqcFfwWd+sMjH6TsDd7vtqrPdmYdl1ztYsB7lCHgF7+UQ/YgViQo+aqiYX/Zn0gb/cPsKo5hHaxS/URufucGf2xol/mk8kZ9jUqYND6TDyFea7GieAWqsf4GPLP3hf+r3Z1DD1mYZ/GEl2TV5/CGACeLlegButSthHv+DA/LIddZjmDba5vFtvN59pOkTdrk071pGKM7FQdMwx7F+BGrIG7YK2UOM30YWzWrjApG8Hza7nYpSc5Y6pDYr3hBl/BEyvIOYqZ0BZlfjmtcV10HvEGH63FFjCO89QBCD5i7Ap+OxwYEUe2FYXfzhv4Deeu5sXL4GcycD8GHqAgw6SyCXU6ScPJhQTTE0hd+O1k7XJf2qsOtf+YSJo8t0Hq491XuGXh8PrbZyenuBiy9AalnmsuMruKXN1PFRlJ0pEENWCBDwLs4Z009H/aXr63O0/7Zq7jyW0bNxjY/Iw8qAU65bf7N9Xp+Mj1PW1Pwa8cQm6+YBzFys/264kjv1am4lX9ymLXn8npvI+p4wibnQfwwY4L80yK24q/YwZe5ScFoONucyWRZ19pUnHs9BZsT1+D13Mg1/lZ4n0ix29y+oZFGVJOEX+DDtdPNsk9LksPzwU+g285mrm5Pvch7+m79SfyGtrxWewZuNG41/X3guzFxDpiBfrFTqUXfWb+EtyKy0hWudbl7cz3Xy5NchXygR4XXRPOohhAfBj/qbhR9gpu13eNI8Rb7hvMER/bVb72L2SVY5wndA+cVzmznDPGO8biCH7Fr5jDhhPklwxzkQYe5nh68Vr7gWvtc2ATmQZLbx3OGnaxpXUYbDQDR9vQ32DK4krJmtuiOjacVf6MN7QF61XLv3FsxeuAQhCeLuMfRgNn7PvKZ4sdxFc0d02hOijhBTJwNwbOX5AlE2U6SYMx6D8mimfzE+LSryyQyeQs7KOfSY7pdSSG4DsESKh+owAb/PU9OegEU2Trzzs62fQYfJCZ2HVk0/Bz6wq7Lf6wmNSE7Rci2bh43CLPLrAlcXoZwJpu1gcb4QMre19cdV9wpJ4e1NmG8cUmKwNYDNdqimbtuL5vwNzi3tu0LvCqr/VY3OVoW4RPvwnt4KDHY8d1v4GV61+f9l8V1OOkTfsVfGpcu3rYgtjFZ+/rX9vLN/0LdcoPTiY2LB5zLwb0n3vo+nwMdTt8DmhjnK92c8C1w9SZxhn0xj7UfJYRsMnHv27Lxuj8ldtUcaF90JP6r2Nb0S8+KHk14K/o93L6GMRI4xBcB3L6mDHmYaOdv/BHkquayqUDcA0x0GPW8tt1Z9c1J+scdbme686Bj23403GtDK+xmLeja9Ux7zeL6yInah+uTWITWKR40jmpN8qZlw2eNP/SWfDNbZT+DWfsY5sHZEx44wZx1PV63H18PzuyZe+J2JU5NeqqEl8TW2MBZznpmPXZEn49oJ2Dm8iHg8yDWKqyOu+BOl4iA69m4PQFGSaVn7jDhNJUBJNr2l+NRT+/kKkupezqd1XVk4rSB+NNEgAeSXZWmmwipB3y/ebUjZt9hE69OYiuiQzo9AsEridYkMjNgtfHGB6arupTr6c2gj/vb4EpJ8mCkdqY9Bd59QTxFuHui7vFDszxGHBhxxRtGJfF2oglljWTI206DsTmWN4cG8aMG7qYn4R3xI3ggtyRJ4FbTuBfmSumVTZyxhcYI7r0k4l4kY15a7ZoOVAPe6InHaaAj+2EPoNbNn7B3IO+CAueCiiOID+LNbQP8y7irth8pX7xm8kTIC87xlyJbmUfJIxzBi31OLZDx1jA2ZELn8BJGAOBDxu33ue7JsgK/auxAL+aNxibcA1f64Jd1rSAU2ir45QeNLhj7RfPK3SFH4Z4ax2A0bbrXAK753p6Tpr0C/wA/aFvJHcfc7Gb0+RbW4A/l1E5cu16PsLPBzFyZIv43sSL5hpeU/Pe9O3t0GVjqxfY+01DPz9ejb/rxxniy+PY2yPeNK8Qoo5V3iSGVF+ekoFbGTh5QdaSQrBIYOKHCTOcXEgw9S5NOE4S7cHiHE3o5oEIF5KDTcjaZcCGCZ/brUcN57BbJzyd7NCur0FIatMRFo+9CJwtNug/3i3TyTr2TzQWnDVDJjbCN1WPG7cPB+6oLbcLckPMKa+9IAvHFXWDLcBnF+mp/kFG46kcbsSWx/Mcn45/YNbXxN49fq2NQB2OQ2M2fyMO2rV17jtf4RhwqeeenGtb5hx52RnX4EHPmfG8xzH6e/mgDu3GH6Ux4k7xPOrU87rrz+RAfz+CHy1H89f9MBaXyA9KbxdczwZ7oM/p8ONWPqcxEMuGb6ccBmtfz68JR7fENor4aG1ottcYGW1ZssO9cYAxQ7w1XVk74hScZeO7uw5iAj5zPEPPfL6MXHS96qz5w2I9irusHdfh+0msNwhHtsRcJ7zdFFuKC3UKXMWXlhvVSeWazBemN/wZvFlU+83tCgs4uTF2zLXBwg9k4EoGTl2QYcJGE3HWNlv8kXyQ0L3sqdxGLmRESSQaP+tfRSLJtgmPpOIWidi3SDBI0O6oF9hhM9IlphgPsUC/TlawJ1qw0N/hlM1rva79AmzwmT1qvfkGUiyFPaJPjwc2fU1GpoVm5HOMAvbVWMG4/Tj4K+Z1pn9WdN2KLR8X4xsxNJ7D+IYPEB82hnLdlbmQi4HHW4rhXgjo2BR/Ia70fJNGfRJzFOKWjcC4YUF/OxfAGY49jtE/xK42PUOcBtwVayBvVf8sJx/LszEg8TTED2Kn262Z388HP8X+GMatXBhkq3xknpJWYYjlKYfKxjnnnSP0y3wd+6JxN4nfKrfrySip/SY+UPGTYQQ3QzzKzb7oCX2EaBYTedsRh6tc7IjaHPK25DaWUZO4RJwdFDJgY2ZL3hZzk/dv2pJ8ASz+CHlZIVT6o08WK5CJfvbrE2jdJaVvNsVzoo+tvprHdO/NMzJwGwMnLsgmCelokq4kBZXU9ETHpNbXLLVxokKfaPw88ZaRTiawqcUY8u0RHI0btjDBpLw4/VrJIZZoLHBFi3fUXyu05+BzTNiJnNRGK7d8gl96Ak9kytDYLmAcY2YuLx9XFY7t1+rvRcQyf83WUbeQILz5DUa+iXC4m49GvrqOcgYM+js/8Nmou47FGCM7iImwn1YfjEEhYGRjDObJZEPbEIabggxPZm/WH3D88ag/2gdeIx6Ub0IuvPLyOZGzd0XbkO9c3EAuuB76z+eb0SV+SnRA1zVH4BLZbXBiX+bbUGUiI5pz8GXqG8gyOBt35ppFUuVGOT3qd7B5DTFADnwSyMC4/YbaMZZhbYUKFcPTghg37lysrXKxq2uY/dya+6n5w+kt8hA3O+6gXZm4n+Z6MF9wA2d+LPhzWU0r/DOJI4Nvof+hTuXLNOaLUuiCT6dHG3uVc3vN2MEPZOAODJy3IMsWt2Y0Jum40VQJ6ygpBDogN53YbVJn7eF4JIIseQ7tPVH6JG59nidt4DD8QI/nZWoTsCSLH2Sad8qxoEZj0BYUkda4/VNNhIEc+M7oVUnX2xjILpes/ANsotPiAddDTEx57Yub8ZHgjLDg2qL+IguYPR+L2AabhLPIfzG+3SSlz3IuBocn4BbzAJ+PODO4EaOaA1xL5mTF6O/Ct7mg5QB1xjPa5RhzBLsM7hnXB/hFXTvJ5KMf2sEzrssmxtt8pf5UjtpMDbrlRpWNd4npwHfwm+cR9oztsT/Q/6pjGgPQYV+FB+dxLFvN6LvE0YFvwIHV2zAGnAJJxeB8gUZ1rP0ONq/gyufvIgdtAxa13qV9FJD9FOvXiAecvldBJnNisHOyjjXflvgG/izWwUTeD9zMCzHws8feTbEFJOMxx9b7HvZRnPRRwRmwTwsxcGHjpc4Zey3QwEtk4FUMnLYgw6IxLkDNXiRk99gek3dPImoTUa57WdLX9Stj4ySHhTVflCDTjleJzyffBTs87p/fkBi6XN0HGDwHsgAoe6M7rD6i4Av9pGLvYxIcMJWWA57UOI1bZCqORLfGrDjrT7caashWMmrLz+05urYn5+7Pzl2/to83Om0bxlifH3CgNqKDn9RG3NoXy4z1Nz6AW/N35B+FzdrUmPxWF63Bd1O5LVbbrzPazWCRW2zTMYRrThfsGeYouKn9DW7EhOGgzx3/XSSJuRIb0ZghjtQm0vRvPjAH4FyJIdwwiPIR5ES/WljbtH+mMaL8rcfssMHdYPN1+uPcU4kBNusH5R//up/EgI8XtZEd4kPdADFFAOyw/jAuW/0AXFEMoM3YomwcxpS2juk6jpRc57c8tsFDwGmzv47N20FTxXrcT7AYjB27j0X0x3VwYuY6QMgR8o7xyBA1HzLZq1zsMtscAu6uB5y7PBPGShnlbcH4Hidddj9b46n3r2deF9pxfcw78E+0nmG0PgLXsK/QnQ59AQ6u869T0Z+eDfOw9rzK34NwXiADawz8P6T1fOuFvlA2AAAAAElFTkSuQmCC

驭无殇1998 发表于 2024-9-13 09:36:51

yejr 发表于 2024-9-12 13:22
可以记住一个窍门:数据库实例进程发生core时,如果错误日志中有PQblock关键字,那肯定是InnoDB并行查询 ...

这个后面可以尝试一下,哈哈哈哈

czxin788 发表于 2024-9-14 14:05:13

yejr 发表于 2024-9-12 13:22
可以记住一个窍门:数据库实例进程发生core时,如果错误日志中有PQblock关键字,那肯定是InnoDB并行查询 ...

Rapid什么时候出新版本,期待半年了

yejr 发表于 2024-9-14 14:18:02

czxin788 发表于 2024-9-14 14:05
Rapid什么时候出新版本,期待半年了
最快这个月,最慢今年底前会发Rapid新版,我最近正在内测中
页: [1]
查看完整版本: 后端连接greatsql查询,程序卡了一晚上,greatsql自动重启