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本篇内容主要讲解“PostgreSQL中vacuum过程HeapTupleSatisfiesVacuum函数分析”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“PostgreSQL中vacuum过程HeapTupleSatisfiesVacuum函数分析”吧!
宏定义
Vacuum和Analyze命令选项
/* ----------------------
* Vacuum and Analyze Statements
* Vacuum和Analyze命令选项
*
* Even though these are nominally two statements, it's convenient to use
* just one node type for both. Note that at least one of VACOPT_VACUUM
* and VACOPT_ANALYZE must be set in options.
* 虽然在这里有两种不同的语句,但只需要使用统一的Node类型即可.
* 注意至少VACOPT_VACUUM/VACOPT_ANALYZE在选项中设置.
* ----------------------
*/
typedef enum VacuumOption
{
VACOPT_VACUUM = 1 << 0, /* do VACUUM */
VACOPT_ANALYZE = 1 << 1, /* do ANALYZE */
VACOPT_VERBOSE = 1 << 2, /* print progress info */
VACOPT_FREEZE = 1 << 3, /* FREEZE option */
VACOPT_FULL = 1 << 4, /* FULL (non-concurrent) vacuum */
VACOPT_SKIP_LOCKED = 1 << 5, /* skip if cannot get lock */
VACOPT_SKIPTOAST = 1 << 6, /* don't process the TOAST table, if any */
VACOPT_DISABLE_PAGE_SKIPPING = 1 << 7 /* don't skip any pages */
} VacuumOption;HeapTupleSatisfiesVacuum
HeapTupleSatisfiesVacuum为VACUUM操作确定元组的状态.在这里,我们主要想知道的是一个元组是否可对所有正在运行中的事务可见.如可见,则不能通过VACUUM删除该元组.
主要处理流程如下:
0.获取tuple并执行相关校验
1.条件:插入事务未提交
1.1条件:无效的xmin,该元组已废弃可删除
1.2条件:旧版本(9.0-)的判断
1.3条件:xmin为当前事务ID
1.4条件:插入事务非当前事务,正在进行中
1.5条件:xmin事务确实已提交(通过clog判断)
1.6条件:其他情况
— 至此,可以确定xmin已提交
2.条件:xmax是无效的事务ID,直接返回LIVE
3.条件:xmax只是锁定
3.1条件:xmax事务未提交,分多事务&非多事务进行判断
3.2条件:只是锁定,返回LIVE
4.条件:存在子事务
4.1条件:xmax正在进行,返回事务进行中
4.2条件:xmax已提交,区分xmax在OldestXmin之前还是之后
4.3条件:xmax不在运行中/没有提交/没有回滚或崩溃,则设置xmax为无效事务ID
4.4默认返回LIVE
5.条件:xmax没有提交
5.1条件:删除过程中
5.2条件:通过clog判断,该事务已提交,设置事务标记位
5.3条件:其他情况,设置为无效事务ID
5.4默认返回LIVE
— 至此,可以确定xmax已提交
6.元组xmax≥OldestXmin,最近删除
7.默认元组已DEAD
/*
* HeapTupleSatisfiesVacuum
*
* Determine the status of tuples for VACUUM purposes. Here, what
* we mainly want to know is if a tuple is potentially visible to *any*
* running transaction. If so, it can't be removed yet by VACUUM.
* 为VACUUM确定元组的状态.
* 在这里,我们主要想知道的是一个元组是否可对所有正在运行中的事务可见.
* 如可见,则不能通过VACUUM删除该元组.
*
* OldestXmin is a cutoff XID (obtained from GetOldestXmin()). Tuples
* deleted by XIDs >= OldestXmin are deemed "recently dead"; they might
* still be visible to some open transaction, so we can't remove them,
* even if we see that the deleting transaction has committed.
* OldestXmin是一个cutoff XID(通过GetOldestXmin函数获得).
* 通过XIDs >= OldestXmin删除的元组被视为"最近死亡",它们可能仍然对某些正在进行中的事务可见,
* 因此就算删除事务已提交,我们仍然不能清除它们.
*/
HTSV_Result
HeapTupleSatisfiesVacuum(HeapTuple htup, TransactionId OldestXmin,
Buffer buffer)
{
//获取tuple
HeapTupleHeader tuple = htup->t_data;
//校验
Assert(ItemPointerIsValid(&htup->t_self));
Assert(htup->t_tableOid != InvalidOid);
/*
* Has inserting transaction committed?
* 插入事务已提交?
*
* If the inserting transaction aborted, then the tuple was never visible
* to any other transaction, so we can delete it immediately.
* 如果插入事务已回滚,元组对其他事务均不可见,因此可以马上删除.
*/
if (!HeapTupleHeaderXminCommitted(tuple))
{
//1.插入事务未提交
if (HeapTupleHeaderXminInvalid(tuple))
//1-1.无效的xmin,该元组已废弃可删除
return HEAPTUPLE_DEAD;
/* Used by pre-9.0 binary upgrades */
//用于9.0以前版本的升级,HEAP_MOVED_OFF&HEAP_MOVED_IN已不再使用
else if (tuple->t_infomask & HEAP_MOVED_OFF)
{
TransactionId xvac = HeapTupleHeaderGetXvac(tuple);
if (TransactionIdIsCurrentTransactionId(xvac))
return HEAPTUPLE_DELETE_IN_PROGRESS;
if (TransactionIdIsInProgress(xvac))
return HEAPTUPLE_DELETE_IN_PROGRESS;
if (TransactionIdDidCommit(xvac))
{
SetHintBits(tuple, buffer, HEAP_XMIN_INVALID,
InvalidTransactionId);
return HEAPTUPLE_DEAD;
}
SetHintBits(tuple, buffer, HEAP_XMIN_COMMITTED,
InvalidTransactionId);
}
/* Used by pre-9.0 binary upgrades */
//用于9.0以前版本的升级
else if (tuple->t_infomask & HEAP_MOVED_IN)
{
TransactionId xvac = HeapTupleHeaderGetXvac(tuple);
if (TransactionIdIsCurrentTransactionId(xvac))
return HEAPTUPLE_INSERT_IN_PROGRESS;
if (TransactionIdIsInProgress(xvac))
return HEAPTUPLE_INSERT_IN_PROGRESS;
if (TransactionIdDidCommit(xvac))
SetHintBits(tuple, buffer, HEAP_XMIN_COMMITTED,
InvalidTransactionId);
else
{
SetHintBits(tuple, buffer, HEAP_XMIN_INVALID,
InvalidTransactionId);
return HEAPTUPLE_DEAD;
}
}
else if (TransactionIdIsCurrentTransactionId(HeapTupleHeaderGetRawXmin(tuple)))
{
//1-3.xmin为当前事务ID
if (tuple->t_infomask & HEAP_XMAX_INVALID) /* xid invalid */
//1-3-1.xmax无效,说明插入事务正在进行中
return HEAPTUPLE_INSERT_IN_PROGRESS;
/* only locked? run infomask-only check first, for performance */
//只是锁定?性能考虑,首先执行infomask-only检查
if (HEAP_XMAX_IS_LOCKED_ONLY(tuple->t_infomask) ||
HeapTupleHeaderIsOnlyLocked(tuple))
//1-3-2.锁定状态(如for update之类),事务正在进行中
return HEAPTUPLE_INSERT_IN_PROGRESS;
/* inserted and then deleted by same xact */
//插入,然后删除
if (TransactionIdIsCurrentTransactionId(HeapTupleHeaderGetUpdateXid(tuple)))
//1-3-3.插入,然后删除
return HEAPTUPLE_DELETE_IN_PROGRESS;
/* deleting subtransaction must have aborted */
//默认:插入事务正在进行中
return HEAPTUPLE_INSERT_IN_PROGRESS;
}
else if (TransactionIdIsInProgress(HeapTupleHeaderGetRawXmin(tuple)))
{
//1-4.插入事务非当前事务,正在进行中
/*
* It'd be possible to discern between INSERT/DELETE in progress
* here by looking at xmax - but that doesn't seem beneficial for
* the majority of callers and even detrimental for some. We'd
* rather have callers look at/wait for xmin than xmax. It's
* always correct to return INSERT_IN_PROGRESS because that's
* what's happening from the view of other backends.
* 通过查看xmax，可以区分正在进行的插入/删除操作 - 但这对于大多数调用者并没有好处,甚至有害
* 我们宁愿让调用者查看/等待xmin而不是xmax。
* 返回INSERT_IN_PROGRESS总是正确的，因为这是从其他后台进程视图中看到正在发生的。
*/
return HEAPTUPLE_INSERT_IN_PROGRESS;
}
else if (TransactionIdDidCommit(HeapTupleHeaderGetRawXmin(tuple)))
//1-5.xmin事务确实已提交(通过clog判断)
SetHintBits(tuple, buffer, HEAP_XMIN_COMMITTED,
HeapTupleHeaderGetRawXmin(tuple));
else
{
//1-5.其他情况
//既不在进行中,也没有提交,要么是回滚,要么是崩溃了
/*
* Not in Progress, Not Committed, so either Aborted or crashed
*/
//设置标记位
SetHintBits(tuple, buffer, HEAP_XMIN_INVALID,
InvalidTransactionId);
//返回废弃标记
return HEAPTUPLE_DEAD;
}
/*
* At this point the xmin is known committed, but we might not have
* been able to set the hint bit yet; so we can no longer Assert that
* it's set.
* 在这个点上,xmin事务确认已提交,但这时候还是不能设置hint bit,
* 因此不能断定已设置标记.
*/
}
/*
* Okay, the inserter committed, so it was good at some point. Now what
* about the deleting transaction?
* 插入数据的事务已提交,现在可以看看删除事务的状态了.
*/
if (tuple->t_infomask & HEAP_XMAX_INVALID)
//------- 2.xmax是无效的事务ID,直接返回LIVE
return HEAPTUPLE_LIVE;
if (HEAP_XMAX_IS_LOCKED_ONLY(tuple->t_infomask))
{
//------- 3.锁定
/*
* "Deleting" xact really only locked it, so the tuple is live in any
* case. However, we should make sure that either XMAX_COMMITTED or
* XMAX_INVALID gets set once the xact is gone, to reduce the costs of
* examining the tuple for future xacts.
* "Deleting"事务确实只是锁定该元组,因此该元组是存活状态.
* 但是,我们应该确保不管是XMAX_COMMITTED还是XMAX_INVALID标记,应该在事务完结后马上设置,
* 这样可以减少为了事务检查元组状态的成本.
*/
if (!(tuple->t_infomask & HEAP_XMAX_COMMITTED))
{
//3.1 xmax事务未提交
if (tuple->t_infomask & HEAP_XMAX_IS_MULTI)
{
//3.1.1 多事务
/*
* If it's a pre-pg_upgrade tuple, the multixact cannot
* possibly be running; otherwise have to check.
* 如果是pre-pg_upgrade元组,多事务不可能运行,否则的话,只能执行检查
*/
if (!HEAP_LOCKED_UPGRADED(tuple->t_infomask) &&
MultiXactIdIsRunning(HeapTupleHeaderGetRawXmax(tuple),
true))
return HEAPTUPLE_LIVE;
//其他情况,根据clog重新设置事务状态标记位
SetHintBits(tuple, buffer, HEAP_XMAX_INVALID, InvalidTransactionId);
}
else
{
//3.1.2 非多事务
if (TransactionIdIsInProgress(HeapTupleHeaderGetRawXmax(tuple)))
//xmax事务正在进行,返回LIVE
return HEAPTUPLE_LIVE;
//否则,根据clog重新设置事务状态标记位
SetHintBits(tuple, buffer, HEAP_XMAX_INVALID,
InvalidTransactionId);
}
}
/*
* We don't really care whether xmax did commit, abort or crash. We
* know that xmax did lock the tuple, but it did not and will never
* actually update it.
* 我们确实不需要真正关心xmax是否提交/回滚/崩溃.
* 我们知道xmax事务锁定了元组,但没有而且"从未"更新过该元组.
*/
//3.2 只是锁定,返回LIVE
return HEAPTUPLE_LIVE;
}
if (tuple->t_infomask & HEAP_XMAX_IS_MULTI)
{
//4.存在子事务
//获取删除事务号xmax
TransactionId xmax = HeapTupleGetUpdateXid(tuple);
/* already checked above */
Assert(!HEAP_XMAX_IS_LOCKED_ONLY(tuple->t_infomask));
/* not LOCKED_ONLY, so it has to have an xmax */
//根据上述xmax的判断,到这里可以肯定xmax是有效的
Assert(TransactionIdIsValid(xmax));
if (TransactionIdIsInProgress(xmax))
//4.1 xmax正在进行,返回进行中
return HEAPTUPLE_DELETE_IN_PROGRESS;
else if (TransactionIdDidCommit(xmax))
{
//4.2 xmax已提交
/*
* The multixact might still be running due to lockers. If the
* updater is below the xid horizon, we have to return DEAD
* regardless -- otherwise we could end up with a tuple where the
* updater has to be removed due to the horizon, but is not pruned
* away. It's not a problem to prune that tuple, because any
* remaining lockers will also be present in newer tuple versions.
*/
if (!TransactionIdPrecedes(xmax, OldestXmin))
//4.2.1 xmax在OldestXmin之后,
//表示在OldestXmin之后才删除,返回HEAPTUPLE_RECENTLY_DEAD
return HEAPTUPLE_RECENTLY_DEAD;
//4.2.2 xmax在OldestXmin之前,返回DEAD
return HEAPTUPLE_DEAD;
}
else if (!MultiXactIdIsRunning(HeapTupleHeaderGetRawXmax(tuple), false))
{
/*
* Not in Progress, Not Committed, so either Aborted or crashed.
* Mark the Xmax as invalid.
*/
//4.3 xmax不在运行中/没有提交/没有回滚或崩溃,则设置xmax为无效事务ID
SetHintBits(tuple, buffer, HEAP_XMAX_INVALID, InvalidTransactionId);
}
//4.4 默认返回LIVE
return HEAPTUPLE_LIVE;
}
if (!(tuple->t_infomask & HEAP_XMAX_COMMITTED))
{
//5.xmax没有提交
if (TransactionIdIsInProgress(HeapTupleHeaderGetRawXmax(tuple)))
//5.1 删除过程中
return HEAPTUPLE_DELETE_IN_PROGRESS;
else if (TransactionIdDidCommit(HeapTupleHeaderGetRawXmax(tuple)))
//5.2 通过clog判断,该事务已提交,设置事务标记位
SetHintBits(tuple, buffer, HEAP_XMAX_COMMITTED,
HeapTupleHeaderGetRawXmax(tuple));
else
{
/*
* Not in Progress, Not Committed, so either Aborted or crashed
*/
//5.3 其他情况,设置为无效事务ID
SetHintBits(tuple, buffer, HEAP_XMAX_INVALID,
InvalidTransactionId);
//返回LIVE
return HEAPTUPLE_LIVE;
}
/*
* At this point the xmax is known committed, but we might not have
* been able to set the hint bit yet; so we can no longer Assert that
* it's set.
*/
//至此,xmax可以确认已提交
}
/*
* Deleter committed, but perhaps it was recent enough that some open
* transactions could still see the tuple.
*/
if (!TransactionIdPrecedes(HeapTupleHeaderGetRawXmax(tuple), OldestXmin))
//6.元组xmax≥OldestXmin,最近删除
return HEAPTUPLE_RECENTLY_DEAD;
/* Otherwise, it's dead and removable */
//7. 默认元组已DEAD
return HEAPTUPLE_DEAD;
}到此，相信大家对“PostgreSQL中vacuum过程HeapTupleSatisfiesVacuum函数分析”有了更深的了解，不妨来实际操作一番吧！这里是亿速云网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
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