crontab

Dr_Brown

Пользователь
Суть в том, что вот настройки my.cnf:


Код:
#
# * Fine Tuning
#
key_buffer        = 128M
max_allowed_packet    = 64M
thread_stack        = 192K
thread_cache_size      = 8
# This replaces the startup script and checks MyISAM tables if needed
# the first time they are touched
myisam-recover        = BACKUP
#max_connections        = 100
#table_cache            = 256
#tmp_table_size      = 128
#thread_concurrency    = 10
#
# * Query Cache Configuration
#
query_cache_limit    = 1M
query_cache_size        = 64M

Вот что рисует tunning_premier.sh:
Код:
      -- MYSQL PERFORMANCE TUNING PRIMER --
            - By: Matthew Montgomery -
 
MySQL Version 5.1.49-3 i486
 
Uptime = 0 days 0 hrs 55 min 1 sec
Avg. qps = 8
Total Questions = 26870
Threads Connected = 3
 
Warning: Server has not been running for at least 48hrs.
It may not be safe to use these recommendations
 
To find out more information on how each of these
runtime variables effects performance visit:
http://dev.mysql.com/doc/refman/5.1/en/server-system-variables.html
Visit http://www.mysql.com/products/enterprise/advisors.html
for info about MySQL's Enterprise Monitoring and Advisory Service
 
SLOW QUERIES
The slow query log is NOT enabled.
Current long_query_time = 10.000000 sec.
You have 1 out of 26892 that take longer than 10.000000 sec. to complete
Your long_query_time seems to be fine
 
BINARY UPDATE LOG
The binary update log is NOT enabled.
You will not be able to do point in time recovery
See http://dev.mysql.com/doc/refman/5.1/en/point-in-time-recovery.html
 
WORKER THREADS
Current thread_cache_size = 8
Current threads_cached = 6
Current threads_per_sec = 0
Historic threads_per_sec = 0
Your thread_cache_size is fine
 
MAX CONNECTIONS
Current max_connections = 151
Current threads_connected = 3
Historic max_used_connections = 9
The number of used connections is 5% of the configured maximum.
You are using less than 10% of your configured max_connections.
Lowering max_connections could help to avoid an over-allocation of memory
See "MEMORY USAGE" section to make sure you are not over-allocating
 
INNODB STATUS
Current InnoDB index space = 0 bytes
Current InnoDB data space = 0 bytes
Current InnoDB buffer pool free = 96 %
Current innodb_buffer_pool_size = 8 M
Depending on how much space your innodb indexes take up it may be safe
to increase this value to up to 2 / 3 of total system memory
 
MEMORY USAGE
Max Memory Ever Allocated : 226 M
Configured Max Per-thread Buffers : 405 M
Configured Max Global Buffers : 202 M
Configured Max Memory Limit : 607 M
Physical Memory : 768 M
Max memory limit seem to be within acceptable norms
 
KEY BUFFER
Current MyISAM index space = 18 M
Current key_buffer_size = 128 M
Key cache miss rate is 1 : 535
Key buffer free ratio = 88 %
Your key_buffer_size seems to be fine
 
QUERY CACHE
Query cache is enabled
Current query_cache_size = 64 M
Current query_cache_used = 7 M
Current query_cache_limit = 1 M
Current Query cache Memory fill ratio = 11.74 %
Current query_cache_min_res_unit = 4 K
Your query_cache_size seems to be too high.
Perhaps you can use these resources elsewhere
MySQL won't cache query results that are larger than query_cache_limit in size
 
SORT OPERATIONS
Current sort_buffer_size = 2 M
Current read_rnd_buffer_size = 256 K
Sort buffer seems to be fine
 
JOINS
Current join_buffer_size = 132.00 K
You have had 24 queries where a join could not use an index properly
You should enable "log-queries-not-using-indexes"
Then look for non indexed joins in the slow query log.
If you are unable to optimize your queries you may want to increase your
join_buffer_size to accommodate larger joins in one pass.
 
Note! This script will still suggest raising the join_buffer_size when
ANY joins not using indexes are found.
 
OPEN FILES LIMIT
Current open_files_limit = 1024 files
The open_files_limit should typically be set to at least 2x-3x
that of table_cache if you have heavy MyISAM usage.
Your open_files_limit value seems to be fine
 
TABLE CACHE
Current table_open_cache = 64 tables
Current table_definition_cache = 256 tables
You have a total of 227 tables
You have 64 open tables.
Current table_cache hit rate is 1%
, while 100% of your table cache is in use
You should probably increase your table_cache
 
TEMP TABLES
Current max_heap_table_size = 16 M
Current tmp_table_size = 16 M
Of 2971 temp tables, 33% were created on disk
Perhaps you should increase your tmp_table_size and/or max_heap_table_size
to reduce the number of disk-based temporary tables
Note! BLOB and TEXT columns are not allow in memory tables.
If you are using these columns raising these values might not impact your
ratio of on disk temp tables.
 
TABLE SCANS
Current read_buffer_size = 128 K
Current table scan ratio = 1562 : 1
read_buffer_size seems to be fine
 
TABLE LOCKING
Current Lock Wait ratio = 1 : 3043
You may benefit from selective use of InnoDB.
If you have long running SELECT's against MyISAM tables and perform
frequent updates consider setting 'low_priority_updates=1'
If you have a high concurrency of inserts on Dynamic row-length tables
consider setting 'concurrent_insert=2'.

Какие значения приорететно увеличивать или что то надо уменьшить, конкретно для нормальной работы TP-II ?
Или памяти добрать на сервак и выделить мускулу больше...
Пытаюсь поднять #table_cache = 256 или #tmp_table_size = 128, тормоза млять жуткие начинаются....в майадмине в состоянии все время красным горят, увеличьте типа tmp_table_size, и table_cache мускул сжирает и снова не хватает типа кеша, я же не могу до миллиона поднять....
Памяти 768, проц 3,4, на VPS висит два трекера на TP-II + инет магазин на шаблонизаторе smarty....128 отдано memcache.
 

Dr_Brown

Пользователь
Gemini_13, ну ты же про автограб:
наверняка синхронизация. натырить релизов натырили, а совладать с постоянно пухнущей базой не могут. это нормально в данной ситуации.
я о том же, каким образом происходит иньекция в базу....но проблема в том что не могу настроить мускл нормально.
 
G

Gemini_13

Гость
Dr_Brown,второй раз говорю, что нет, не о ней.
ты вообще думаешь, перед тем как писать? инъекция ходячая
 
Сверху