做网站的去那里接单,现在出入河南最新规定,wordpress数据过滤,打开国外网站很慢怎么办摘要:
monetdb的事务隔离级别只有RR, 和mysql/innodb的具有RR和RC两个隔离级别不同.
本文分析monetdb的RR隔离级别的实现方式, 以及分析这种隔离级别方式如何导致只有RR隔离级别. 测试流程: 测试方式:
分别开两个mclient终端, 连接同一个mserver实例两个client终端分别叫做客…
摘要:
monetdb的事务隔离级别只有RR, 和mysql/innodb的具有RR和RC两个隔离级别不同.
本文分析monetdb的RR隔离级别的实现方式, 以及分析这种隔离级别方式如何导致只有RR隔离级别. 测试流程: 测试方式:
分别开两个mclient终端, 连接同一个mserver实例两个client终端分别叫做客户端A和客户端B客户端A开启auto commit, 执行的sql为插入一条数据 insert into t1 values(3);客户端B开启start transaction, 之心的sql为统计数据的数量 start transaction;select count(1) from t1;客户端A插入一条数据后, 在客户端B执行select count(1) 查看数据的数量 测试结果:
无论客户端A插入多少条数据客户端B执行了start transaction后通过select count(1)查询出的数据的数量永远不变也就是说客户端B只能读到start transaction执行之前的数据客户端B的隔离级别为可重复读read repeated, 即RR RR的隔离级别的原因定位方式: 客户端A是auto commit的方式, 每插入一条数据就会自动提交事务对客户端B而言, 数据的可见性来说A插入的数据, 都是已经提交的 但是B看不到A插入的数据, 那么对来说, 必然是存在某种规则对数据进行了过滤要排查的话, 应该从B的角度, 追查为什么无法拿到A插入的数据 排查过程: 一. 通过日志分析select count的执行的核心函数: 日志: 2023-11-08 08:42:24 M_DEBUG ALGO client3 monetdb5/mal/mal_interpreter.c:716 runMALsequence calling querylog.define
2023-11-08 08:42:24 M_DEBUG ALGO client3 monetdb5/mal/mal_interpreter.c:687 runMALsequence calling sql.count
2023-11-08 08:45:56 M_DEBUG ALGO client3 monetdb5/mal/mal_interpreter.c:687 runMALsequence calling sql.resultSet
2023-11-08 08:45:56 M_DEBUG ALGO client3 gdk/gdk_bat.c:292 COLnew2 - tmp_647#00[lng]TSRN
2023-11-08 08:45:56 M_DEBUG ALGO client3 gdk/gdk_bat.c:1039 BUNappendmulti tmp_647#00[lng]TSRN appending 1 values
2023-11-08 08:45:56 M_DEBUG ALGO client3 gdk/gdk_bat.c:292 COLnew2 - tmp_725#00[oid]TSRN
2023-11-08 08:45:56 M_DEBUG ALGO client3 gdk/gdk_batop.c:2846 BATconstant - tmp_725#10[oid]TSRKN 23usec核心函数: calling sql.count 二. 分析 sql.count的执行细节: 调用堆栈: #0 segs_end (segs0x1952b230, tr0x7f9fb0104450, table0x1952aa60) at /root/work/monetdb-dev/trunk/monetdb/sql/storage/bat/bat_storage.c:457
#1 0x00007fa055d07ad1 in count_col (tr0x7f9fb0104450, c0x1952b2d0, access10) at /root/work/monetdb-dev/trunk/monetdb/sql/storage/bat/bat_storage.c:773
#2 0x00007fa055c85186 in SQLbasecount (cntxt0x13b4580, mb0x7f9fb0135570, stk0x7f9fb013c3e0, pci0x7f9fb0144400) at /root/work/monetdb-dev/trunk/monetdb/sql/backends/monet5/sql_rank.c:1289
#3 0x00007fa069395007 in runMALsequence (cntxt0x13b4580, mb0x7f9fb0135570, startpc1, stoppc0, stk0x7f9fb013c3e0, env0x0, pcicaller0x0)at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_interpreter.c:688
#4 0x00007fa06939377e in runMAL (cntxt0x13b4580, mb0x7f9fb0135570, mbcaller0x0, env0x0) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_interpreter.c:357
#5 0x00007fa055bb85eb in SQLrun (c0x13b4580, m0x7f9fb01167e0) at /root/work/monetdb-dev/trunk/monetdb/sql/backends/monet5/sql_execute.c:259
#6 0x00007fa055bb9ee7 in SQLengineIntern (c0x13b4580, be0x7f9fb0136060) at /root/work/monetdb-dev/trunk/monetdb/sql/backends/monet5/sql_execute.c:709
#7 0x00007fa055bb74b5 in SQLengine (c0x13b4580) at /root/work/monetdb-dev/trunk/monetdb/sql/backends/monet5/sql_scenario.c:1358
#8 0x00007fa0693b4862 in runPhase (c0x13b4580, phase4) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_scenario.c:453
#9 0x00007fa0693b49cc in runScenarioBody (c0x13b4580, once0) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_scenario.c:479
#10 0x00007fa0693b4bd8 in runScenario (c0x13b4580, once0) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_scenario.c:510
#11 0x00007fa0693b6fea in MSserveClient (c0x13b4580) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_session.c:589
#12 0x00007fa0693b6863 in MSscheduleClient (command0x7f9fb0000b70 \333 repeats 199 times, incomplete sequence \333..., challenge0x7f9ff7bfcce3 gWPRtbcO, fin0x7f9fb0002b90, fout0x7f9fc4009630, protocolPROTOCOL_9, blocksize8190) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/mal/mal_session.c:445
#13 0x00007fa06947c1d4 in doChallenge (data0x7f9fc4006790) at /root/work/monetdb-dev/trunk/monetdb/monetdb5/modules/mal/mal_mapi.c:222
#14 0x00007fa068d2e729 in THRstarter (a0x7f9fc400bb20) at /root/work/monetdb-dev/trunk/monetdb/gdk/gdk_utils.c:1668
#15 0x00007fa068dabb23 in thread_starter (arg0x7f9fc400bb90) at /root/work/monetdb-dev/trunk/monetdb/gdk/gdk_system.c:862
#16 0x00007fa0682ec1ca in start_thread () from /lib64/libpthread.so.0
#17 0x00007fa067f58e73 in clone () from /lib64/libc.so.6核心函数: segs_end static size_t
segs_end( segments *segs, sql_trans *tr, sql_table *table)
{size_t cnt 0;lock_table(tr-store, table-base.id);segment *s segs-h, *l NULL;if (segs-t SEG_IS_VALID(segs-t, tr))l s segs-t;for(;s; s s-next) {if (SEG_IS_VALID(s, tr))l s;}if (l)cnt l-end;unlock_table(tr-store, table-base.id);return cnt;
}SEG_IS_VALID /* A segment is part of the current transaction is someway or is deleted by some other transaction but use to be valid */
#define SEG_IS_VALID(seg, tr) \((!seg-deleted VALID_4_READ(seg-ts, tr)) || \(seg-deleted OLD_VALID_4_READ(seg-ts, seg-oldts, tr))) VALID_4_READ /* valid* !deleted VALID_4_READ(TS, tr) existing or newly created segment* deleted TS tr-ts OLDTS tr-ts deleted after current transaction*/#define VALID_4_READ(TS,tr) \(TS tr-tid || (tr-parent tr_version_of_parent(tr, TS)) || TS tr-ts) 核心数据: 拿到的segment: (gdb) p l[0]
$47 {start 0, end 25, deleted false, ts 1, oldts 0, next 0x7f9fbc027ed0, prev 0x0
}未拿到的segment: (gdb) p segs-t[0]
$46 {start 25, end 26, deleted false, ts 1875, oldts 0, next 0x0, prev 0x0
}三. 分析过滤segment的代码逻辑: 核心处理: /* valid* !deleted VALID_4_READ(TS, tr) existing or newly created segment* deleted TS tr-ts OLDTS tr-ts deleted after current transaction*/#define VALID_4_READ(TS,tr) \(TS tr-tid || (tr-parent tr_version_of_parent(tr, TS)) || TS tr-ts) 核心数据结构: sql_trans typedef struct sql_trans {char *name;ulng ts; /* transaction start timestamp */ulng tid; /* transaction id */sql_store store; /* keep link into the global store */MT_Lock lock; /* lock protecting concurrent writes to the changes list */list *changes; /* list of changes */list *dropped; /* protection against recursive cascade action*/list *predicates; /* list of read predicates logged during update transactions */list *dependencies; /* list of dependencies created (list of sqlids from the objects) */list *depchanges; /* list of dependencies changed (it would be tested for conflicts at the end of the transaction) */lng logchanges; /* count number of changes to be applied to the wal */int active; /* is active transaction */int status; /* status of the last query */sql_catalog *cat;sql_schema *tmp; /* each session has its own tmp schema */changeset localtmps;sql_allocator *sa; /* transaction allocator */struct sql_trans *parent; /* multilevel transaction support */
} sql_trans;segment typedef struct segment {BUN start;BUN end;bool deleted; /* we need to keep a dense segment set, 0 - end of last segemnt,some segments maybe deleted */ulng ts; /* timestamp on this segment, ie tid of some active transaction or commit time of append/delete orrollback time, ie ready for reuse */ulng oldts; /* keep previous ts, for rollbacks */struct segment *next; /* usualy one should be enough */struct segment *prev; /* used in destruction list */
} segment;核心判断逻辑: 1. (TS tr-tid) TS 是 seg-tstid是transaction id, 也就是事务id /* transaction id */tr-ts 是 /* transaction start timestamp */seg-ts 和 tr-tid 进行比较其实使用了一些hack技巧和成员复用 2. (TS tr-ts) 重点是这个逻辑tr-ts 是这个事务开始的时间TS 是 seg-ts, 是这个数据段被提交的时间所以这个判断的逻辑, 就是tr这个事务, 只能看到这个开始之前被记录的数据段里的数据也就说, 从tr这个事务开始后, 再被提交的事务, 都无法被看到从调用方的角度, 就是 read repeated 的隔离级别 如何扩充新的隔离级别呢 注意我说的是扩充新的隔离级别而不是修改已有的隔离级别RR的隔离级别需要被保留使用mysql的隔离级别的参数来控制新增RC的隔离级别RC的隔离级别, 可以看到已经提交的事务的数据, 而不仅仅是 TS tr-ts 的
