GreatSQL 8.0.32-26 二进制包关于 lower_case_table_names 的疑问
安装包下载地址：
wget https://gitee.com/link?target=https%3A%2F%2Fproduct.greatdb.com%2FGreatSQL-8.0.32-26%2FGreatSQL-8.0.32-26-Linux-glibc2.28-x86_64.tar.xz
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
使用my.cnf参数如下：
port = 3306
socket= /data/mysql-data/mysql.sock
prompt = "\u@mysqldb1 \R:\m:\s [\d]> "
no_auto_rehash
loose-skip-binary-as-hex
socket= /data/mysql-data/mysql.sock
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 这里记得修改
server_id = 30137
basedir = /usr/local/GreatSQL-8.0.32-26/
datadir = /data/mysql-data/data
socket= /data/mysql-data/mysql.sock
pid_file = mysqldb1.pid
character_set_server = UTF8MB4
skip_name_resolve = 1
lc_messages=en_US
lc_messages_dir=/usr/local/GreatSQL-8.0.32-26-Linux-glibc2.28-x86_64/share/english/
#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"
#启用admin_port，连接数爆满等紧急情况下给管理员留个后门
admin_address = '127.0.0.1'
admin_port = 33062
#report_host这里记得修改
report_host = 10.1.30.137
#performance setttings
lock_wait_timeout = 3600
open_files_limit = 65535
back_log = 1024
max_connections = 3000
max_connect_errors = 1000000
table_open_cache = 100000
table_definition_cache = 100000
thread_stack = 512K
sort_buffer_size = 16M
join_buffer_size = 16M
read_buffer_size = 8M
read_rnd_buffer_size = 16M
bulk_insert_buffer_size = 64M
thread_cache_size = 4500
interactive_timeout = 600
wait_timeout = 600
tmp_table_size = 96M
max_heap_table_size = 96M
innodb_numa_interleave = ON
#log settings
log_timestamps = SYSTEM
log_error = /data/mysql-data/log/error.log
log_error_verbosity = 3
slow_query_log = 1
log_slow_extra = 1
slow_query_log_file = /data/mysql-data/log/slow.log
long_query_time = 0.1
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/mysql-data/binlogs/mybinlog
binlog_format = ROW
sync_binlog = 1 #MGR环境中由其他节点提供容错性，可不设置双1以提高本地节点性能
binlog_cache_size = 4M
max_binlog_cache_size = 2G
max_binlog_size = 1G
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
#replication settings
relay_log_recovery = 1
slave_parallel_type = LOGICAL_CLOCK
slave_parallel_workers = 64 #可以设置为逻辑CPU数量的2倍
binlog_transaction_dependency_tracking = WRITESET
slave_preserve_commit_order = 1
slave_checkpoint_period = 2
replication_optimize_for_static_plugin_config = ON
replication_sender_observe_commit_only = ON
#loss-less semi-sync replication settings
skip_slave_start
#同时启用半同步复制的master和slave plugin
#semi-sync(master)
loose-rpl_semi_sync_master_timeout = 99999999
loose-plugin_load = "rpl_semi_sync_master=semisync_master.so;rpl_semi_sync_slave=semisync_slave.so"
loose-rpl_semi_sync_master_enabled = 1
loose-rpl_semi_sync_master_wait_for_slave_count = 1
loose-rpl_semi_sync_master_wait_point = AFTER_SYNC
#semi-sync(slave)
loose-rpl_semi_sync_slave_enabled = 1
#如果是slave节点，强烈建议设置为read_only模式，避免误操作写入数据
#如果是master节点，则不要设置为read_only模式
#read_only = 1
#super_read_only = 1
#innodb settings
transaction_isolation = REPEATABLE-READ
innodb_buffer_pool_size = 22528M
innodb_buffer_pool_instances = 4
innodb_data_file_path = ibdata1:12M:autoextend
innodb_flush_log_at_trx_commit = 1 #MGR环境中由其他节点提供容错性，可不设置双1以提高本地节点性能
innodb_log_buffer_size = 32M
innodb_log_file_size = 4G #如果线上环境的TPS较高，建议加大至1G以上，如果压力不大可以调小
innodb_log_files_in_group = 3
loose-innodb_redo_log_capacity = 3G
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 = 50000
innodb_io_capacity_max = 80000
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 = 1
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 = OFF
#提高索引统计信息精确度
innodb_stats_persistent_sample_pages = 500
innodb_adaptive_hash_index = 0
loose-sql_generate_invisible_primary_key = ON
#innodb monitor settings
innodb_monitor_enable = "module_innodb"
innodb_monitor_enable = "module_server"
innodb_monitor_enable = "module_dml"
innodb_monitor_enable = "module_ddl"
innodb_monitor_enable = "module_trx"
innodb_monitor_enable = "module_os"
innodb_monitor_enable = "module_purge"
innodb_monitor_enable = "module_log"
innodb_monitor_enable = "module_lock"
innodb_monitor_enable = "module_buffer"
innodb_monitor_enable = "module_index"
innodb_monitor_enable = "module_ibuf_system"
innodb_monitor_enable = "module_buffer_page"
#innodb_monitor_enable = "module_adaptive_hash"
#pfs settings
performance_schema = 1
#performance_schema_instrument = '%memory%=on'
loose-performance_schema_instrument = '%lock%=on'
quick
启动后查询大小写敏感参数：
root@mysqldb1 22:34:[(none)]> show variables like '%case%';
+------------------------+-------+
| Variable_name | Value |
+------------------------+-------+
| lower_case_file_system | OFF |
| lower_case_table_names | 0 |
+------------------------+-------+
2 rows in set (0.01 sec)
疑问： linux上lower_case_table_names参数应该默认不配置的情况下要是1 的吧？为什么greatsql 是0 呢？
找了一套mysql8.0.35的作对比：
(Thu Oct3 22:40:03 2024)[(none)]>show variables like '%case%';
+------------------------------------+-------+
| Variable_name | Value |
+------------------------------------+-------+
| lower_case_file_system | OFF |
| lower_case_table_names | 1 |
| validate_password.mixed_case_count | 1 |
+------------------------------------+-------+
3 rows in set (0.33 sec)
MySQL 8.0.x默认也是0的，详见
https://dev.mysql.com/doc/refman/8.0/en/server-system-variables.html#sysvar_lower_case_table_names yejr 发表于 2024-10-4 23:08
MySQL 8.0.x默认也是0的，详见
https://dev.mysql.com/doc/refman/8.0/en/server-system-variables.html# ...
感谢叶老师的解答
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