如何解决MySQL InnoDB查询性能
| 我正在尝试优化一个简单的sql查询，该查询将多次运行大量数据。 这是方案： MySQL与InnoDB表 在where和join中使用的所有字段都已建立索引。表有FK。 我不需要查询的整个缓存，但是可以缓存每个表。 表具有更多可更新/插入的读取。 一个真实的查询：SELECT one_field,another_field
FROM big_table
INNER JOIN medium_table ON ( ... )
INNER JOIN small_table ON ( ... )
WHERE week >= #number AND week <= #number AND year >= #number AND year <= #number
AND medium_table.indexed_field = #number
AND small_table.pk= #number
http://www.mysqlperformanceblog.com/files/benchmarks/innodb-myisam-falcon.html
http://www.jortk.nl/2008/12/mysql-performance-benchmark-myisam-versus-innodb/
1 SIMPLE small_table const PRIMARY PRIMARY 4 const 1 Using index
1 SIMPLE medium_table index_merge PRIMARY,Fk_small_table,Fk_indexed_field Fk_small_table,Fk_indexed_field 5,5 250 Using intersect(Fk_small_table,Fk_indexed_field); Using where
1 SIMPLE big_table ref Fk_code_of_medium_table,week-year-compound-index Fk_three 5 medium_table.primary_key 4 Using where
CREATE TABLE IF NOT EXISTS `db`.`big_table` (
`primary_key` BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,`code_of_medium_table` INT UNSIGNED NULL,`week` SMALLINT UNSIGNED NULL,`year` YEAR NULL,......
PRIMARY KEY (`primary_key`),INDEX `Fk_code_of_medium_table` (`code_of_medium_table` ASC),INDEX `In_week-year` (`week` ASC,`year` ASC),CONSTRAINT `Fk_code_of_medium_table`
FOREIGN KEY (`code_of_medium_table` )
REFERENCES `db`.`medium_table` (`code` )
ON DELETE NO ACTION
ON UPDATE NO ACTION,ENGINE = InnoDB
CREATE TABLE IF NOT EXISTS `db`.`medium_table` (
`primary_key` INT UNSIGNED NOT NULL AUTO_INCREMENT,.....
`code_of_small_table` INT UNSIGNED NULL,`indexed_field ` INT UNSIGNED NULL,PRIMARY KEY (`primary_key`),INDEX `Fk_code_of_small_table` (`code_of_small_table` ASC),INDEX `Fk_indexed_field` (`another_field` ASC),CONSTRAINT `Fk_code_of_small_table`
FOREIGN KEY (`code_of_small_table` )
REFERENCES `db`.`small_table` (`code` )
ON DELETE NO ACTION
ON UPDATE NO ACTION,CONSTRAINT `Fk_indexed_field `
FOREIGN KEY (`indexed_field ` )
REFERENCES `db`.`other_table` (`code` )
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB
CREATE TABLE IF NOT EXISTS `db`.`small_table` (
`primary_key` INT UNSIGNED NOT NULL AUTO_INCREMENT,.....
PRIMARY KEY (`primary_key`) )
ENGINE = InnoDB
auto_increment_increment 1
auto_increment_offset 1
automatic_sp_privileges ON
back_log 50
basedir /usr/
bdb_cache_size 8384512
bdb_home /var/lib/mysql/
bdb_log_buffer_size 262144
bdb_logdir
bdb_max_lock 10000
bdb_shared_data OFF
bdb_tmpdir /tmp/
binlog_cache_size 32768
bulk_insert_buffer_size 8388608
character_set_client utf8
character_set_connection utf8
character_set_database latin1
character_set_filesystem binary
character_set_results utf8
character_set_server latin1
character_set_system utf8
character_sets_dir /usr/share/mysql/charsets/
collation_connection utf8_general_ci
collation_database latin1_swedish_ci
collation_server latin1_swedish_ci
completion_type 0
concurrent_insert 1
connect_timeout 10
datadir /var/lib/mysql/
date_format %Y-%m-%d
datetime_format %Y-%m-%d %H:%i:%s
default_week_format 0
delay_key_write ON
delayed_insert_limit 100
delayed_insert_timeout 300
delayed_queue_size 1000
div_precision_increment 4
keep_files_on_create OFF
engine_condition_pushdown OFF
expire_logs_days 0
flush OFF
flush_time 0
ft_boolean_syntax + -><()~*:\"\"&|
ft_max_word_len 84
ft_min_word_len 4
ft_query_expansion_limit 20
ft_stopword_file (built-in)
group_concat_max_len 1024
have_archive NO
have_bdb YES
have_blackhole_engine NO
have_compress YES
have_crypt YES
have_csv NO
have_dynamic_loading YES
have_example_engine NO
have_federated_engine NO
have_geometry YES
have_innodb YES
have_isam NO
have_merge_engine YES
have_ndbcluster NO
have_openssl DISABLED
have_ssl DISABLED
have_query_cache YES
have_raid NO
have_rtree_keys YES
have_symlink YES
hostname EarnedBE002
init_connect
init_file
init_slave
innodb_additional_mem_pool_size 1048576
innodb_autoextend_increment 8
innodb_buffer_pool_awe_mem_mb 0
innodb_buffer_pool_size 8388608
innodb_checksums ON
innodb_commit_concurrency 0
innodb_concurrency_tickets 500
innodb_data_file_path ibdata1:10M:autoextend
innodb_data_home_dir
innodb_adaptive_hash_index ON
innodb_doublewrite ON
innodb_fast_shutdown 1
innodb_file_io_threads 4
innodb_file_per_table OFF
innodb_flush_log_at_trx_commit 1
innodb_flush_method
innodb_force_recovery 0
innodb_lock_wait_timeout 50
innodb_locks_unsafe_for_binlog OFF
innodb_log_arch_dir
innodb_log_archive OFF
innodb_log_buffer_size 1048576
innodb_log_file_size 5242880
innodb_log_files_in_group 2
innodb_log_group_home_dir ./
innodb_max_dirty_pages_pct 90
innodb_max_purge_lag 0
innodb_mirrored_log_groups 1
innodb_open_files 300
innodb_rollback_on_timeout OFF
innodb_support_xa ON
innodb_sync_spin_loops 20
innodb_table_locks ON
innodb_thread_concurrency 8
innodb_thread_sleep_delay 10000
interactive_timeout 28800
join_buffer_size 131072
key_buffer_size 8384512
key_cache_age_threshold 300
key_cache_block_size 1024
key_cache_division_limit 100
language /usr/share/mysql/english/
large_files_support ON
large_page_size 0
large_pages OFF
lc_time_names en_US
license GPL
local_infile ON
locked_in_memory OFF
log OFF
log_bin OFF
log_bin_trust_function_creators OFF
log_error
log_queries_not_using_indexes OFF
log_slave_updates OFF
log_slow_queries OFF
log_warnings 1
long_query_time 10
low_priority_updates OFF
lower_case_file_system OFF
lower_case_table_names 0
max_allowed_packet 1048576
max_binlog_cache_size 18446744073709547520
max_binlog_size 1073741824
max_connect_errors 10
max_connections 100
max_delayed_threads 20
max_error_count 64
max_heap_table_size 16777216
max_insert_delayed_threads 20
max_join_size 18446744073709551615
max_length_for_sort_data 1024
max_prepared_stmt_count 16382
max_relay_log_size 0
max_seeks_for_key 18446744073709551615
max_sort_length 1024
max_sp_recursion_depth 0
max_tmp_tables 32
max_user_connections 0
max_write_lock_count 18446744073709551615
multi_range_count 256
myisam_data_pointer_size 6
myisam_max_sort_file_size 9223372036853727232
myisam_recover_options OFF
myisam_repair_threads 1
myisam_sort_buffer_size 8388608
myisam_stats_method nulls_unequal
net_buffer_length 16384
net_read_timeout 30
net_retry_count 10
net_write_timeout 60
new OFF
old_passwords OFF
open_files_limit 1024
optimizer_prune_level 1
optimizer_search_depth 62
pid_file /var/run/mysqld/mysqld.pid
plugin_dir
port 3306
preload_buffer_size 32768
profiling OFF
profiling_history_size 15
protocol_version 10
query_alloc_block_size 8192
query_cache_limit 1048576
query_cache_min_res_unit 4096
query_cache_size 0
query_cache_type ON
query_cache_wlock_invalidate OFF
query_prealloc_size 8192
range_alloc_block_size 4096
read_buffer_size 131072
read_only OFF
read_rnd_buffer_size 262144
relay_log
relay_log_index
relay_log_info_file relay-log.info
relay_log_purge ON
relay_log_space_limit 0
rpl_recovery_rank 0
secure_auth OFF
secure_file_priv
server_id 0
skip_external_locking ON
skip_networking OFF
skip_show_database OFF
slave_compressed_protocol OFF
slave_load_tmpdir /tmp/
slave_net_timeout 3600
slave_skip_errors OFF
slave_transaction_retries 10
slow_launch_time 2
socket /var/lib/mysql/mysql.sock
sort_buffer_size 2097144
sql_big_selects ON
sql_mode
sql_notes ON
sql_warnings OFF
ssl_ca
ssl_capath
ssl_cert
ssl_cipher
ssl_key
storage_engine MyISAM
sync_binlog 0
sync_frm ON
system_time_zone UTC
table_cache 64
table_lock_wait_timeout 50
table_type MyISAM
thread_cache_size 0
thread_stack 262144
time_format %H:%i:%s
time_zone SYSTEM
timed_mutexes OFF
tmp_table_size 33554432
tmpdir /tmp/
transaction_alloc_block_size 8192
transaction_prealloc_size 4096
tx_isolation REPEATABLE-READ
updatable_views_with_limit YES
version 5.0.77
version_bdb Sleepycat Software: Berkeley DB 4.1.24: (January 29,2009)
version_comment Source distribution
version_compile_machine x86_64
version_compile_os redhat-linux-gnu
wait_timeout 28800
SELECT SQL_NO_CACHE int_field,varchar_field
FROM big_table
INNER JOIN medium_table ON ( ... )
INNER JOIN small_table ON ( ... )
WHERE week BETWEEN #number AND #number
AND year BETWEEN #number AND #number
AND small_table.pk = 248
AND medium_table.indexed_field = #number
解决方法
希望您找到感兴趣的以下链接和以前的答案。
我希望能为您提供一个具体的问题答案，但我没有时间完全了解您的方案：命名约定太糟糕，缺少有用的信息，不一致等，等等。
但是，您应该在下面找到解决问题的方法，并且与性能较低的myisam引擎无关！
以下答案之一的摘录：
您应该阅读以下内容，并了解一些设计合理的innodb表的优点以及如何最好地使用聚簇索引-只有innodb才有！
聚集索引：
http://dev.mysql.com/doc/refman/5.0/en/innodb-index-types.html
http://www.xaprb.com/blog/2006/07/04/how-to-exploit-mysql-index-optimizations/
我以前的答案：
6000万个条目，请从特定月份选择条目。如何优化数据库？
MySQL和NoSQL：帮助我选择合适的一个
如何避免多对多查询中的“使用临时”？
传递大量数据的查询的最佳MySQL设置？
希望这可以帮助 ：）
, （编辑）
big_table
(year,week)
(week,year)
(week,year)
big_table
(code_of_medium_table,year,week)
medium_table.
(code_of_small_table,indexed_field)
(year,week,code_of_medium_table)
(indexed_field,code_of_small_table)
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