具有特定查询性能的问题[[迁移后]从MySQL数据到MariaDB的大型(3 GB以上)数据库,它是64位版本。分析,优化,重建数据库。以下是MariaDB的配置,数据库方案和相关查询。
非常感谢什么/如何/在哪里/何时的建议来解决此问题。
计算机参数为:Intel Core i5 CPU @ 3.6GHz,16GB RAM,Sandisk 512GB SSD,使用Windows 10 v.1909。性能较慢的SQL查询(10秒,在MySQL 5.7上大约为1秒):
SELECT * FROM (
SELECT
'#AT&T' AS instrument,
(SELECT '2020-05-21 09:30' AS report_period) report_period,
#Average price
(SELECT AVG(avg_price.avg_price) AS avg_price FROM
(
SELECT AVG(t.CLOSE_PRICE) AS avg_price
FROM mt4_trades t
WHERE t.CLOSE_TIME BETWEEN '2020-05-21 09:30' AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND) AND t.OPEN_TIME > '2012-08-26'
AND t.SYMBOL LIKE '#AT&T%' AND t.CMD IN (0,1)
UNION ALL
SELECT AVG(t.OPEN_PRICE) AS avg_price
FROM mt4_trades t
WHERE t.OPEN_TIME BETWEEN '2020-05-21 09:30' AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND)
AND t.SYMBOL LIKE '#AT&T%' AND t.CMD IN (0,1)
) avg_price) avg_price,
#Total deals value
(
SELECT SUM(total_deals_value.total_deals_value) AS total_deals_value FROM (
SELECT SUM(t.VOLUME/100.0 * 1 * t.CLOSE_PRICE ) AS total_deals_value
FROM mt4_trades t
WHERE t.CLOSE_TIME BETWEEN '2020-05-21 09:30' AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND) AND t.OPEN_TIME > '2012-08-26'
AND t.SYMBOL LIKE '#AT&T%' AND t.CMD IN (0,1)
UNION ALL
SELECT SUM(t.VOLUME/100.0 * 1 * t.OPEN_PRICE ) AS total_deals_value
FROM mt4_trades t
WHERE t.OPEN_TIME BETWEEN '2020-05-21 09:30' AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND)
AND t.SYMBOL LIKE '#AT&T%' AND t.CMD IN (0,1)
) total_deals_value) AS total_deals_value) result
LEFT OUTER JOIN
(SELECT '#AT&T' AS instrument, @fd_time0 AS fd_time, @fd_price0 AS fd_price,
(@fd_volume0/100.0 * 1 * @fd_price0 ) AS fd_volume
FROM (
SELECT @fd_time0 := fd_time AS fd_time, @fd_volume0 := VOLUME AS VOLUME, @fd_price0 := PRICE AS PRICE
FROM
(SELECT MIN(t.CLOSE_TIME) AS fd_time, t.VOLUME, t.CLOSE_PRICE AS PRICE FROM mt4_trades t WHERE t.CLOSE_TIME BETWEEN
DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND) AND '2020-05-21 11:30' AND t.OPEN_TIME > '2012-08-26'
AND t.SYMBOL LIKE '#AT&T%'
UNION ALL
SELECT MIN(t.OPEN_TIME) AS fd_time, t.VOLUME, t.OPEN_PRICE AS PRICE FROM mt4_trades t WHERE t.OPEN_TIME BETWEEN
DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND) AND '2020-05-21 11:30'
AND t.SYMBOL LIKE '#AT&T%'
ORDER BY fd_time) first_deal WHERE first_deal.fd_time IS NOT NULL ORDER BY first_deal.fd_time ASC LIMIT 1
) AS first_deal) temp_result ON temp_result.instrument = result.instrument
SQL查询的解释:为表创建SQL:
CREATE TABLE `mt4_trades` ( `TICKET` INT(11) UNSIGNED NOT NULL, `LOGIN` INT(11) UNSIGNED NOT NULL, `SYMBOL` VARCHAR(16) NOT NULL DEFAULT '' COLLATE 'utf8_general_ci', `DIGITS` TINYINT(3) UNSIGNED NOT NULL, `CMD` TINYINT(3) UNSIGNED NOT NULL, `VOLUME` MEDIUMINT(8) UNSIGNED NOT NULL, `OPEN_TIME` DATETIME NOT NULL, `OPEN_PRICE` FLOAT(12,0) NOT NULL, `SL` FLOAT(12,0) NOT NULL, `TP` FLOAT(12,0) NOT NULL, `CLOSE_TIME` DATETIME NOT NULL, `EXPIRATION` DATETIME NOT NULL, `REASON` TINYINT(3) UNSIGNED NOT NULL DEFAULT '0', `CONV_RATE1` FLOAT(12,0) NOT NULL, `CONV_RATE2` FLOAT(12,0) NOT NULL, `COMMISSION` FLOAT(12,0) NOT NULL, `COMMISSION_AGENT` FLOAT(12,0) NOT NULL, `SWAPS` FLOAT(12,0) NOT NULL, `CLOSE_PRICE` FLOAT(12,0) NOT NULL, `PROFIT` FLOAT(12,0) NOT NULL, `TAXES` FLOAT(12,0) NOT NULL, `COMMENT` VARCHAR(32) NOT NULL DEFAULT '' COLLATE 'utf8_general_ci', `INTERNAL_ID` INT(11) NOT NULL, `MARGIN_RATE` FLOAT(12,0) NOT NULL, `TIMESTAMP` INT(11) UNSIGNED NOT NULL, `MAGIC` INT(11) NOT NULL DEFAULT '0', `GW_VOLUME` INT(11) NOT NULL DEFAULT '0', `GW_OPEN_PRICE` INT(11) NOT NULL DEFAULT '0', `GW_CLOSE_PRICE` INT(11) NOT NULL DEFAULT '0', `MODIFY_TIME` DATETIME NOT NULL, PRIMARY KEY (`TICKET`) USING BTREE, INDEX `INDEX_STAMP` (`TIMESTAMP`, `COMMENT`) USING BTREE, INDEX `CMD` (`CMD`, `OPEN_TIME`, `CLOSE_TIME`, `LOGIN`, `VOLUME`, `SYMBOL`, `CLOSE_PRICE`) USING BTREE ) COLLATE='utf8_general_ci' ;
MariaDB的my.ini
[mysqld] port= 3306 socket = "C:/xampp/mysql/mysql.sock" basedir = "C:/xampp/mysql" tmpdir = "C:/xampp/tmp" datadir = "C:/xampp/mysql/data" log_error = "mysql_error.log" pid_file = "mysql.pid" collation_server=utf8_general_ci character_set_server=utf8 ## CUSTOM EDIT sql-mode=NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION,NO_FIELD_OPTIONS,NO_KEY_OPTIONS,NO_TABLE_OPTIONS,STRICT_TRANS_TABLES skip_external_locking skip_name_resolve max_connections = 200 table_open_cache = 10000 table_definition_cache = 2000 open_files_limit = 20000 ##MyISAM setting key_buffer = 512M myisam_sort_buffer_size = 2M # max_allowed_packet = 16M max_sort_length = 16384 sort_buffer_size = 1M net_buffer_length = 64K read_buffer_size = 256K read_rnd_buffer_size = 512K #INNO DB settings innodb_file_per_table = 1 innodb_buffer_pool_size = 4G innodb_sort_buffer_size = 16M ## Set .._log_file_size to 25 % of buffer pool size innodb_log_file_size = 1024M innodb_log_buffer_size = 32M innodb_flush_log_at_trx_commit = 2 innodb_stats_on_metadata = 0 innodb_lock_wait_timeout = 600 innodb_flush_method = normal #A minor optimization when writing blocks to disk. Use 0 for SSD drives; 1 for HDD. innodb_flush_neighbors = 0 innodb_io_capacity = 2000 # innodb_buffer_pool_instances = 3 innodb_thread_concurrency = 12 innodb_autoextend_increment = 64 innodb_read_io_threads = 16 innodb_write_io_threads = 16 concurrent_insert = 2 thread_stack = 512K interactive_timeout = 600 wait_timeout = 600 query_cache_type = 2 query_cache_limit = 64M query_cache_min_res_unit = 1 query_cache_size = 16M thread_cache_size = 128 low_priority_updates tmp_table_size = 4M max_heap_table_size = 4M bulk_insert_buffer_size = 256M group_concat_max_len = 512K # Define which query should be considered as slow, in seconds long_query_time = 6 join_cache_level = 8 # Size limit for the whole join #join_buffer_space_limit = 512M join_buffer_size = 4M # Optimizer switches optimizer_switch ='orderby_uses_equalities=on' optimizer_switch ='mrr=on,mrr_sort_keys=on' optimizer_switch ='index_merge_sort_intersection=on' optimizer_switch ='optimize_join_buffer_size=on' optimizer_switch ='join_cache_bka=on' optimizer_switch ='join_cache_hashed=on' optimizer_switch='in_to_exists=on' optimizer_switch='join_cache_incremental=on' #optimizer_switch='loosescan=on' # Where do all the plugins live plugin_dir = "C:/xampp/mysql/lib/plugin/" server-id = 1
在semijoin=off
设置中切换optimizer_switch
,看看它是否选择了较差的执行计划。
我也不得不注意,您正在切换很多配置设置-没人需要触摸绝大多数配置设置,因此,我建议您从一个干净的配置开始,只为您的内存大小设置适当的innodb_buffer_pool_size
。
在我看来,您有两个子查询模式。这是一种模式
SELECT something_or_other
FROM mt4_trades t
WHERE t.CLOSE_TIME BETWEEN '2020-05-21 09:30'
AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND)
AND t.OPEN_TIME > '2012-08-26'
AND t.SYMBOL LIKE '#AT&T%'
AND t.CMD IN (0,1)
还有另一个
SELECT something_or_other FROM mt4_trades t WHERE t.OPEN_TIME BETWEEN '2020-05-21 09:30' AND DATE_ADD('2020-05-21 09:30', INTERVAL 119 SECOND) AND t.SYMBOL LIKE '#AT&T%' AND t.CMD IN (0,1)
不幸的是,对于利用索引,在这些查询模式中没有相等过滤器(WHERE col=val
)。索引范围扫描可能非常有效,但是当它们处理多个相等过滤器然后处理一个范围过滤器时,它们的效果最佳。 (time BETWEEN this AND that
)因此,为了进行优化,我们需要从具有最大选择性的列开始您的多列索引。您的查询模式需要compound covering indexes。
我认为您应该在第一个模式中尝试使用此索引。
CREATE INDEX closedex ON mt4_trades (CLOSE_TIME, CMD, OPEN_TIME, SYMBOL, VOLUME, CLOSE_PRICE, LOGIN)
对于您的第二种模式,它要简单一些
CREATE INDEX opendex ON mt4_trades (OPEN_TIME, CMD, SYMBOL, VOLUME, CLOSE_PRICE, LOGIN)
您需要两个索引,因为(我想)您选择最多的列是CLOSE_TIME
和OPEN_TIME
。您还应该尝试将CMD
放在这些索引中;也许MariaDB知道如何有效地为CMD IN (0,1)
使用索引。重点是使查询计划者能够仅通过索引满足查询,而不必跳回到表。
如果可以在索引中首先更改
SYMBOL LIKE 'value%' to
SYMBOL ='值'and still have your application work correctly, do so. Then put
SYMBOL`;这是一个平等的比赛。(重要提示:在您的查询中,像这样的行
SELECT MIN(t.CLOSE_TIME) AS fd_time, t.VOLUME, t.CLOSE_PRICE AS PRICE
您将获得VOLUME和CLOSE_PRICE的不可预测的值。]