[mysqldumpslow 报错] Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236. mysqldumpslow报错: Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236. 总结:是因为top数目太多了,mysqldumpslow遍历不过来的缘故。 /usr/local/m
[mysqldumpslow 报错] Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236.mysqldumpslow报错:Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236.
总结:是因为top数目太多了,mysqldumpslow遍历不过来的缘故。
/usr/local/mysql/bin/mysqldumpslow -s -t 15 /root/db01-102-slow.log
1,把r去掉试试,还是报错,参数不识别。
[root@slave ]# /usr/local/mysql/bin/mysqldumpslow -s -t 15 /root/db01-102-slow.log Reading mysql slow query log from 15 /root/db01-102-slow.log Can't open 15: 没有那个文件或目录 at /usr/local/mysql/bin/mysqldumpslow line 91. Count: 22 Time=9.61s (211s) Lock=0.00s (0s) Rows=1.0 (22), [dubbo]@2hosts select count(*) from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id Count: 177 Time=1.40s (247s) Lock=0.00s (0s) Rows=1.0 (177), [dubbo]@2hosts select count(*) from user_info LEFT JOIN system_region a ON province_id =a.region_id LEFT JOIN system_region b ON city_id = b.region_id LEFT JOIN system_region c ON district_id = c.region_id Count: 22 Time=13.20s (290s) Lock=0.00s (0s) Rows=10.0 (220), [dubbo]@2hosts select coupon_id, coupon_lot.coupon_lot_id, coupon_lot.remark, coupon.code, coupon_lot.coupon_type, coupon.state, coupon_lot.ckey, coupon_lot.cvalue, coupon_lot.discount, coupon_lot.type, coupon_lot.channel, coupon_lot.is_reusable, coupon_lot.start_datetime, coupon_lot.end_datetime, coupon_lot.create_datetime, coupon.update_datetime ,coupon_lot.department, coupon_lot.state as couponLotState, coupon_lot.create_operator,coupon_lot.coupon_category, coupon_lot.pdt_code,brand.brand_name,product_category.category_name from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id group by coupon_lot.coupon_lot_id order by coupon_lot.create_datetime DESC limit N,N Count: 8 Time=1.09s (8s) Lock=0.00s (0s) Rows=10.0 (80), [dubbo]@2hosts select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC limit N,N Count: 1 Time=1.00s (1s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost select sleep(N) Count: 1 Time=1.13s (1s) Lock=0.00s (0s) Rows=10.0 (10), [dubbo]@[xx] select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC , oi.order_sn limit N,N Count: 5 Time=2.47s (12s) Lock=0.00s (0s) Rows=0.0 (0), [dubbo]@2hosts select user_id, usename, nickname, password, user_group_id, realname, gender, email, mobilephone, birthday, province_id, city_id, district_id, marry, income, remarks, create_datetime, active_state, verityEmail, verityPhone, credit, last_login, last_ip, is_locked, channel, tag, union_partner_uuid, union_user_safekey, is_black, qq, weibo_id, verity_email_key, verity_phone_key, verity_email_datetime, verity_phone_datetime, verity_question, verity_answer, cps_code, cps_time_from, cps_time_to, cps_cookie, first_channel from user_info where mobilephone = 'S' and (channel is null or trim(channel) ='S')
2,查看下mysqldumpslow 使用参数,-s后面需要带参数的,看了西夏at比较合适
[root@db-master-2 ~]# /usr/local/mysql/bin/mysqldumpslow --help Usage: mysqldumpslow [ OPTS... ] [ LOGS... ] Parse and summarize the MySQL slow query log. Options are --verbose verbose --debug debug --help write this text to standard output -v verbose -d debug -s ORDER what to sort by (al, at, ar, c, l, r, t), 'at' is default al: average lock time ar: average rows sent at: average query time c: count l: lock time r: rows sent t: query time -r reverse the sort order (largest last instead of first) -t NUM just show the top n queries -a don't abstract all numbers to N and strings to 'S' -n NUM abstract numbers with at least n digits within names -g PATTERN grep: only consider stmts that include this string -h HOSTNAME hostname of db server for *-slow.log filename (can be wildcard), default is '*', i.e. match all -i NAME name of server instance (if using mysql.server startup script) -l don't subtract lock time from total time
[root@db-master-2 ~]# /usr/local/mysql/bin/mysqldumpslow -s at -t 15 /root/db01-102-slow.log Reading mysql slow query log from /root/db01-102-slow.log Count: 22 Time=13.20s (290s) Lock=0.00s (0s) Rows=10.0 (220), [dubbo]@2hosts select coupon_id, coupon_lot.coupon_lot_id, coupon_lot.remark, coupon.code, coupon_lot.coupon_type, coupon.state, coupon_lot.ckey, coupon_lot.cvalue, coupon_lot.discount, coupon_lot.type, coupon_lot.channel, coupon_lot.is_reusable, coupon_lot.start_datetime, coupon_lot.end_datetime, coupon_lot.create_datetime, coupon.update_datetime ,coupon_lot.department, coupon_lot.state as couponLotState, coupon_lot.create_operator,coupon_lot.coupon_category, coupon_lot.pdt_code,brand.brand_name,product_category.category_name from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id group by coupon_lot.coupon_lot_id order by coupon_lot.create_datetime DESC limit N,N Count: 22 Time=9.61s (211s) Lock=0.00s (0s) Rows=1.0 (22), [dubbo]@2hosts select count(*) from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id Count: 5 Time=2.47s (12s) Lock=0.00s (0s) Rows=0.0 (0), [dubbo]@2hosts select user_id, usename, nickname, password, user_group_id, realname, gender, email, mobilephone, birthday, province_id, city_id, district_id, marry, income, remarks, create_datetime, active_state, verityEmail, verityPhone, credit, last_login, last_ip, is_locked, channel, tag, union_partner_uuid, union_user_safekey, is_black, qq, weibo_id, verity_email_key, verity_phone_key, verity_email_datetime, verity_phone_datetime, verity_question, verity_answer, cps_code, cps_time_from, cps_time_to, cps_cookie, first_channel from user_info where mobilephone = 'S' and (channel is null or trim(channel) ='S') Count: 177 Time=1.40s (247s) Lock=0.00s (0s) Rows=1.0 (177), [dubbo]@2hosts select count(*) from user_info LEFT JOIN system_region a ON province_id =a.region_id LEFT JOIN system_region b ON city_id = b.region_id LEFT JOIN system_region c ON district_id = c.region_id Count: 1 Time=1.13s (1s) Lock=0.00s (0s) Rows=10.0 (10), [dubbo]@[10.10.3.8] select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC , oi.order_sn limit N,N Count: 8 Time=1.09s (8s) Lock=0.00s (0s) Rows=10.0 (80), [dubbo]@2hosts select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC limit N,N Count: 1 Time=1.00s (1s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost select sleep(N) Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236.看到后面还是报错:Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236.
4,去看看/usr/local/mysql/bin/mysqldumpslow的第161行左右,到底是在操作什么脚本。
156 my @sorted = sort { $stmt{$b}->{$opt{s}} $stmt{$a}->{$opt{s}} } keys %stmt; 157 @sorted = @sorted[0 .. $opt{t}-1] if $opt{t}; 158 @sorted = reverse @sorted if $opt{r}; 159 160 foreach (@sorted) { 161 my $v = $stmt{$_} || die; 162 my ($c, $t,$at, $l,$al, $r,$ar) = @{ $v }{qw(c t at l al r ar)}; 163 my @users = keys %{$v->{users}}; 164 my $user = (@users==1) ? $users[0] : sprintf "%dusers",scalar @users; 165 my @hosts = keys %{$v->{hosts}}; 166 my $host = (@hosts==1) ? $hosts[0] : sprintf "%dhosts",scalar @hosts; 167 printf "Count: %d Time=%.2fs (%ds) Lock=%.2fs (%ds) Rows=%.1f (%d), $user\@$host\n%s\n\n", 168 $c, $at,$t, $al,$l, $ar,$r, $_; 169 } 170 171 sub usage { 172 my $str= shift;看到主要是foreach (@sorted)遍历函数,也就是遍历到chunk 236的时候就died结束了,没有办法往下继续foreach了。因为以前写过代码,知道报错所在的这一行
my $v = $stmt{$_} || die;是遍历第一句,那么肯定是赋值语句,报错Died,chunk 236肯定是已经遍历到末尾没有数据了,看这个函数没有判断传入的参数是否为null的逻辑,所以当文件数据已经遍历完,但是命令还没有结束,所以继续遍历,遍历null的时候报错,所以进程中止了,解决办法就是做个限制不要遍历超过原始数据的字符串长度。那么我们再来看执行的命令:
/usr/local/mysql/bin/mysqldumpslow -s at -t 15 /root/db01-102-slow.log 有 -t 15这一句,那么就是要显示出前15个记录,那么如果我的slow.log统计出来只有12个不到15个,而这里有继续遍历到15的话,那进程肯定会Died。
所以这里有2个解决方法:
1 修改/usr/local/mysql/bin/mysqldumpslow里面的源代码,加null判断。
这个过程有些复杂,暂时略过吧,期待后续空了再研究。
2 修改命令 /usr/local/mysql/bin/mysqldumpslow -s at -t 15 /root/db01-102-slow.log ,把-t 15修改成-t 10或者-t 5试试。
试了好几次,发现临界点在-t 7上面,如下:
[root@slave~]# /usr/local/mysql/bin/mysqldumpslow -s at -t 8 /root/db01-102-slow.log Reading mysql slow query log from /root/db01-102-slow.log Count: 22 Time=13.20s (290s) Lock=0.00s (0s) Rows=10.0 (220), [dubbo]@2hosts select coupon_id, coupon_lot.coupon_lot_id, coupon_lot.remark, coupon.code, coupon_lot.coupon_type, coupon.state, coupon_lot.ckey, coupon_lot.cvalue, coupon_lot.discount, coupon_lot.type, coupon_lot.channel, coupon_lot.is_reusable, coupon_lot.start_datetime, coupon_lot.end_datetime, coupon_lot.create_datetime, coupon.update_datetime ,coupon_lot.department, coupon_lot.state as couponLotState, coupon_lot.create_operator,coupon_lot.coupon_category, coupon_lot.pdt_code,brand.brand_name,product_category.category_name from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id group by coupon_lot.coupon_lot_id order by coupon_lot.create_datetime DESC limit N,N Count: 22 Time=9.61s (211s) Lock=0.00s (0s) Rows=1.0 (22), [dubbo]@2hosts select count(*) from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id Count: 5 Time=2.47s (12s) Lock=0.00s (0s) Rows=0.0 (0), [dubbo]@2hosts select user_id, usename, nickname, password, user_group_id, realname, gender, email, mobilephone, birthday, province_id, city_id, district_id, marry, income, remarks, create_datetime, active_state, verityEmail, verityPhone, credit, last_login, last_ip, is_locked, channel, tag, union_partner_uuid, union_user_safekey, is_black, qq, weibo_id, verity_email_key, verity_phone_key, verity_email_datetime, verity_phone_datetime, verity_question, verity_answer, cps_code, cps_time_from, cps_time_to, cps_cookie, first_channel from user_info where mobilephone = 'S' and (channel is null or trim(channel) ='S') Count: 177 Time=1.40s (247s) Lock=0.00s (0s) Rows=1.0 (177), [xx]@2hosts select count(*) from user_info LEFT JOIN system_region a ON province_id =a.region_id LEFT JOIN system_region b ON city_id = b.region_id LEFT JOIN system_region c ON district_id = c.region_id Count: 1 Time=1.13s (1s) Lock=0.00s (0s) Rows=10.0 (10), [xx]@[xxx] select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC , oi.order_sn limit N,N Count: 8 Time=1.09s (8s) Lock=0.00s (0s) Rows=10.0 (80), [xx]@2hosts select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC limit N,N Count: 1 Time=1.00s (1s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost select sleep(N) Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236. -- 临界点 -t 7 [root@db-master-2 ~]# /usr/local/mysql/bin/mysqldumpslow -s at -t 7 /root/db01-102-slow.log Reading mysql slow query log from /root/db01-102-slow.log Count: 22 Time=13.20s (290s) Lock=0.00s (0s) Rows=10.0 (220), [xx]@2hosts select coupon_id, coupon_lot.coupon_lot_id, coupon_lot.remark, coupon.code, coupon_lot.coupon_type, coupon.state, coupon_lot.ckey, coupon_lot.cvalue, coupon_lot.discount, coupon_lot.type, coupon_lot.channel, coupon_lot.is_reusable, coupon_lot.start_datetime, coupon_lot.end_datetime, coupon_lot.create_datetime, coupon.update_datetime ,coupon_lot.department, coupon_lot.state as couponLotState, coupon_lot.create_operator,coupon_lot.coupon_category, coupon_lot.pdt_code,brand.brand_name,product_category.category_name from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id group by coupon_lot.coupon_lot_id order by coupon_lot.create_datetime DESC limit N,N Count: 22 Time=9.61s (211s) Lock=0.00s (0s) Rows=1.0 (22), [dubbo]@2hosts select count(*) from coupon_lot left join coupon on coupon.coupon_lot_id = coupon_lot.coupon_lot_id LEFT JOIN brand ON brand.brand_id=coupon_lot.brand_id LEFT JOIN product_category on product_category.category_id=coupon_lot.category_id Count: 5 Time=2.47s (12s) Lock=0.00s (0s) Rows=0.0 (0), [xx]@2hosts select user_id, usename, nickname, password, user_group_id, realname, gender, email, mobilephone, birthday, province_id, city_id, district_id, marry, income, remarks, create_datetime, active_state, verityEmail, verityPhone, credit, last_login, last_ip, is_locked, channel, tag, union_partner_uuid, union_user_safekey, is_black, qq, weibo_id, verity_email_key, verity_phone_key, verity_email_datetime, verity_phone_datetime, verity_question, verity_answer, cps_code, cps_time_from, cps_time_to, cps_cookie, first_channel from user_info where mobilephone = 'S' and (channel is null or trim(channel) ='S') Count: 177 Time=1.40s (247s) Lock=0.00s (0s) Rows=1.0 (177), [xx]@2hosts select count(*) from user_info LEFT JOIN system_region a ON province_id =a.region_id LEFT JOIN system_region b ON city_id = b.region_id LEFT JOIN system_region c ON district_id = c.region_id Count: 1 Time=1.13s (1s) Lock=0.00s (0s) Rows=10.0 (10), [dubbo]@[xxx] select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC , oi.order_sn limit N,N Count: 8 Time=1.09s (8s) Lock=0.00s (0s) Rows=10.0 (80), [dubbo]@2hosts select return_sn, relating_order_sn, return_from, oi.order_out_sn , add_time , return_type, return_pay, ui.usename as userName, return_consignee, return_goods_count , return_total_fee, total_paid, return_desc, return_order_status, return_pay_status , return_shipping_status, order_return.lock_operator, order_return.return_invoice_no from order_return LEFT JOIN order_info oi on order_return.relating_order_sn = oi.order_sn left join user_info ui on oi.user_id = ui.user_id left join order_payment on order_payment.order_sn = oi.order_sn order by order_return.add_time DESC limit N,N Count: 1 Time=1.00s (1s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost select sleep(N) [root@db-master-2 ~]#
最终总结:
mysqldumpslow报错:Died at /usr/local/mysql/bin/mysqldumpslow line 161, chunk 236. 是因为top数目太多了,mysqldumpslow遍历不过来的缘故。

MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.

To monitor the health and performance of MySQL servers, you should pay attention to system health, performance metrics and query execution. 1) Monitor system health: Use top, htop or SHOWGLOBALSTATUS commands to view CPU, memory, disk I/O and network activities. 2) Track performance indicators: monitor key indicators such as query number per second, average query time and cache hit rate. 3) Ensure query execution optimization: Enable slow query logs, record and optimize queries whose execution time exceeds the set threshold.

The main difference between MySQL and MariaDB is performance, functionality and license: 1. MySQL is developed by Oracle, and MariaDB is its fork. 2. MariaDB may perform better in high load environments. 3.MariaDB provides more storage engines and functions. 4.MySQL adopts a dual license, and MariaDB is completely open source. The existing infrastructure, performance requirements, functional requirements and license costs should be taken into account when choosing.

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.


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