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PostgreSQL 源码解读(146)- Storage Manager#2(fsm_search_avail函数)

发布时间:2020-08-17 07:50:03 来源:ITPUB博客 阅读:154 作者:husthxd 栏目:关系型数据库

本节简单介绍了PostgreSQL在执行插入过程中与存储相关的函数RecordAndGetPageWithFreeSpace->fsm_set_and_search,该函数设置给定的FSM page的相应值,并返回合适的slot。

一、数据结构

FSMAddress
内部的FSM处理过程以逻辑地址scheme的方式工作,树的每一个层次都可以认为是一个独立的地址文件.


/*
 * The internal FSM routines work on a logical addressing scheme. Each
 * level of the tree can be thought of as a separately addressable file.
 * 内部的FSM处理过程工作在一个逻辑地址scheme上.
 * 树的每一个层次都可以认为是一个独立的地址文件.
 */
typedef struct
{
    //层次
    int         level;          /* level */
    //该层次内的页编号
    int         logpageno;      /* page number within the level */
} FSMAddress;
/* Address of the root page. */
//根页地址
static const FSMAddress FSM_ROOT_ADDRESS = {FSM_ROOT_LEVEL, 0};

FSMPage
FSM page数据结构.详细可参看src/backend/storage/freespace/README.


/*
 * Structure of a FSM page. See src/backend/storage/freespace/README for
 * details.
 * FSM page数据结构.详细可参看src/backend/storage/freespace/README.
 */
typedef struct
{
    /*
     * fsm_search_avail() tries to spread the load of multiple backends by
     * returning different pages to different backends in a round-robin
     * fashion. fp_next_slot points to the next slot to be returned (assuming
     * there's enough space on it for the request). It's defined as an int,
     * because it's updated without an exclusive lock. uint16 would be more
     * appropriate, but int is more likely to be atomically
     * fetchable/storable.
     * fsm_search_avail()函数尝试通过在一轮循环中返回不同的页面到不同的后台进程,
     *   从而分散在后台进程上分散负载.
     * 该字段因为无需独占锁,因此定义为整型.
     * unit16可能会更合适,但整型看起来更适合于原子提取和存储.
     */
    int         fp_next_slot;
    /*
     * fp_nodes contains the binary tree, stored in array. The first
     * NonLeafNodesPerPage elements are upper nodes, and the following
     * LeafNodesPerPage elements are leaf nodes. Unused nodes are zero.
     * fp_nodes以数组的形式存储二叉树.
     * 第一个NonLeafNodesPerPage元素是上一层的节点,接下来的LeafNodesPerPage元素是叶子节点.
     * 未使用的节点为0.
     */
    uint8       fp_nodes[FLEXIBLE_ARRAY_MEMBER];
} FSMPageData;
typedef FSMPageData *FSMPage;

FSMLocalMap
对于小表,不需要创建FSM来存储空间信息,使用本地的内存映射信息.


/* Either already tried, or beyond the end of the relation */
//已尝试或者已在表的末尾之后
#define FSM_LOCAL_NOT_AVAIL 0x00
/* Available to try */
//可用于尝试
#define FSM_LOCAL_AVAIL     0x01
/*
 * For small relations, we don't create FSM to save space, instead we use
 * local in-memory map of pages to try.  To locate free space, we simply try
 * pages directly without knowing ahead of time how much free space they have.
 * 对于小表,不需要创建FSM来存储空间信息,使用本地的内存映射信息.
 * 为了定位空闲空间,我们不需要知道他们有多少空闲空间而是直接简单的对page进行尝试.
 *
 * Note that this map is used to the find the block with required free space
 * for any given relation.  We clear this map when we have found a block with
 * enough free space, when we extend the relation, or on transaction abort.
 * See src/backend/storage/freespace/README for further details.
 * 注意这个map用于搜索给定表的请求空闲空间.
 * 在找到有足够空闲空间的block/扩展了relation/在事务回滚时,则清除这个map的信息.
 * 详细可查看src/backend/storage/freespace/README.
 */
typedef struct
{
    BlockNumber nblocks;//块数
    uint8       map[HEAP_FSM_CREATION_THRESHOLD];//数组
}           FSMLocalMap;
static FSMLocalMap fsm_local_map =
{
    0,
    {
        FSM_LOCAL_NOT_AVAIL
    }
};
#define FSM_LOCAL_MAP_EXISTS (fsm_local_map.nblocks > 0)

二、源码解读

fsm_set_and_search设置给定的FSM page的相应值,并返回合适的slot.
主要处理逻辑如下:
1.初始化相关变量
2.设置相应页面的FSM可用标记
3.如search_cat/minvalue(请求空间)不为0,则调用fsm_search_avail搜索slot
4.解锁,返回

搜索树的算法是逐渐扩展”search triangle”(暂且称为搜索三角),也就是说,被当前节点所覆盖的所有节点,确保我们从开始点向右搜索.在第一步,只有目标slot会被检查.当我们从左边子节点往上移动到父节点时,我们同时添加了父节点的右子树到搜索三角中.当我们从右边子节点往上移动到父节点时,我们同时删除了当前搜索三角(这时候已经知道了没有合适的page), 同时向右检索下一个更大尺寸的三角.因此,我们不会从起点向左搜索,在每一步搜索三角的尺寸都会翻倍,确保只需要log2(N)步就可以搜索N个页面.
例如,考虑下面这棵树:


       7
   7       6
 5   7   6   5
4 5 5 7 2 6 5 2
            T

假定目标节点是字母T指示的节点,同时我们正在使用6或更大的数字搜索节点.检索从T开始.在第一轮迭代,移到右边,然后到父节点,到达最右边的节点 5.在第二轮迭代,移到右边,回卷,然后上溯,在第三个层次上到达节点 7这时候7满足我们的搜索要求,因此我们沿着7这条路径下降到底部.实际上,这是(考虑到回卷)起点右侧第一个满足条件的页面.


/*
 * Set value in given FSM page and slot.
 * 设置给定的FSM page的相应值,并返回合适的slot.
 *
 * If minValue > 0, the updated page is also searched for a page with at
 * least minValue of free space. If one is found, its slot number is
 * returned, -1 otherwise.
 * 如minValue大于0,更新后的page还将搜索空闲空间只是为最小值的page.
 * 如果找到了,返回slot编号,否则返回-1.
 */
//search_slot = fsm_set_and_search(rel, addr, slot, old_cat, search_cat);
static int
fsm_set_and_search(Relation rel, FSMAddress addr, uint16 slot,
                   uint8 newValue, uint8 minValue)
{
    Buffer      buf;
    Page        page;
    int         newslot = -1;
    //获取FSM的buffer
    buf = fsm_readbuf(rel, addr, true);
    //锁定
    LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
    //获取FSM的page
    page = BufferGetPage(buf);
    if (fsm_set_avail(page, slot, newValue))
        MarkBufferDirtyHint(buf, false);
    if (minValue != 0)
    {
        /* Search while we still hold the lock */
        //搜索slot
        newslot = fsm_search_avail(buf, minValue,
                                   addr.level == FSM_BOTTOM_LEVEL,
                                   true);
    }
    UnlockReleaseBuffer(buf);
    return newslot;
}
/*
 * Searches for a slot with category at least minvalue.
 * Returns slot number, or -1 if none found.
 * 搜索目录至少为最小值的slot.
 *
 * The caller must hold at least a shared lock on the page, and this
 * function can unlock and lock the page again in exclusive mode if it
 * needs to be updated. exclusive_lock_held should be set to true if the
 * caller is already holding an exclusive lock, to avoid extra work.
 * 调用者必须持有page共享锁,如page需要更新则该函数可能重新以独占模式解锁或锁定page.
 * 如调用者已持有独占锁exclusive_lock_held需设置为T,以避免额外的工作.
 *
 * If advancenext is false, fp_next_slot is set to point to the returned
 * slot, and if it's true, to the slot after the returned slot.
 * 如果advancenext是F,fp_next_slot被设置为指向返回的slot;
 * 如为T,则指向返回的slot后的slot.
 */
//newslot = fsm_search_avail(buf, minValue, \
                                   addr.level == FSM_BOTTOM_LEVEL, \
                                   true);
int
fsm_search_avail(Buffer buf, uint8 minvalue, bool advancenext,
                 bool exclusive_lock_held)
{
    Page        page = BufferGetPage(buf);//获取page
    FSMPage     fsmpage = (FSMPage) PageGetContents(page);//获取FSMPage
    int         nodeno;
    int         target;
    uint16      slot;
restart:
    /*
     * Check the root first, and exit quickly if there's no leaf with enough
     * free space
     * 首先检查根节点,如叶子节点无足够的空闲空间则快速退出.
     */
    if (fsmpage->fp_nodes[0] < minvalue)
        return -1;
    /*
     * Start search using fp_next_slot.  It's just a hint, so check that it's
     * sane.  (This also handles wrapping around when the prior call returned
     * the last slot on the page.)
     * 使用fp_next_slot开始搜索.
     * 这个标记只是一个提示而已,检查它是否正常.
     * (这同时处理了在上一次调用返回的页面最后一个slot的回卷问题)
     */
    //#define SlotsPerFSMPage   LeafNodesPerPage
    //#define LeafNodesPerPage   (NodesPerPage - NonLeafNodesPerPage)
    //#define NodesPerPage (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - \
                       offsetof(FSMPageData, fp_nodes)) 
    //#define NonLeafNodesPerPage (BLCKSZ / 2 - 1) = 4095 
    target = fsmpage->fp_next_slot;
    if (target < 0 || target >= LeafNodesPerPage)
        target = 0;
    target += NonLeafNodesPerPage;
    /*----------
     * Start the search from the target slot.  At every step, move one
     * node to the right, then climb up to the parent.  Stop when we reach
     * a node with enough free space (as we must, since the root has enough
     * space).
     * 从目标slot开始检索.每一步,把节点移到右边,然后上溯父节点.
     * 在到达一个有足够空闲空间的节点时停止(因为根节点有足够的空间).
     *
     * The idea is to gradually expand our "search triangle", that is, all
     * nodes covered by the current node, and to be sure we search to the
     * right from the start point.  At the first step, only the target slot
     * is examined.  When we move up from a left child to its parent, we are
     * adding the right-hand subtree of that parent to the search triangle.
     * When we move right then up from a right child, we are dropping the
     * current search triangle (which we know doesn't contain any suitable
     * page) and instead looking at the next-larger-size triangle to its
     * right.  So we never look left from our original start point, and at
     * each step the size of the search triangle doubles, ensuring it takes
     * only log2(N) work to search N pages.
     * 算法思想是逐渐扩展"search triangle 搜索三角",也就是说,
     *   被当前节点所覆盖的所有节点,确保我们从开始点向右搜索.
     * 在第一步,只有目标slot会被检查.
     * 当我们从左边子节点往上移动到父节点时,我们同时添加了父节点的右子树到搜索三角中.
     * 当我们从右边子节点往上移动到父节点时,我们同时删除了当前搜索三角(这时候已经知道了没有合适的page),
     *   同时向右检索下一个更大尺寸的三角.
     * 因此,我们不会从起点向左搜索,在每一步搜索三角的尺寸都会翻倍,确保只需要log2(N)步就可以搜索N个页面.
     *
     * The "move right" operation will wrap around if it hits the right edge
     * of the tree, so the behavior is still good if we start near the right.
     * Note also that the move-and-climb behavior ensures that we can't end
     * up on one of the missing nodes at the right of the leaf level.
     * "move right"操作会在触碰到树的右边缘时回卷,因此在右边邻近开始搜索也是没有问题的.
     * 注意move-and-climb操作确保了我们不能在叶子层右边的节点上结束.
     *
     * For example, consider this tree:
     * 例如,考虑下面这棵树:
     *
     *         7
     *     7       6
     *   5   7   6   5
     *  4 5 5 7 2 6 5 2
     *              T
     *
     * Assume that the target node is the node indicated by the letter T,
     * and we're searching for a node with value of 6 or higher. The search
     * begins at T. At the first iteration, we move to the right, then to the
     * parent, arriving at the rightmost 5. At the second iteration, we move
     * to the right, wrapping around, then climb up, arriving at the 7 on the
     * third level.  7 satisfies our search, so we descend down to the bottom,
     * following the path of sevens.  This is in fact the first suitable page
     * to the right of (allowing for wraparound) our start point.
     * 假定目标节点是字母T指示的节点,同时我们正在使用6或更大的数字搜索节点.检索从T开始.
     * 在第一轮迭代,移到右边,然后到父节点,到达最右边的节点 5.在第二轮迭代,移到右边,回卷,
     *   然后上溯,在第三个层次上到达节点 7这时候7满足我们的搜索要求,
     *   因此我们沿着7这条路径下降到底部.
     * 实际上,这是(考虑到回卷)起点右侧第一个满足条件的页面.
     *----------
     */
    nodeno = target;
    while (nodeno > 0)
    {
        if (fsmpage->fp_nodes[nodeno] >= minvalue)
            break;
        /*
         * Move to the right, wrapping around on same level if necessary, then
         * climb up.
         * 移动到右边,如需要在同一层次上回卷,然后上溯.
         */
        nodeno = parentof(rightneighbor(nodeno));
    }
    /*
     * We're now at a node with enough free space, somewhere in the middle of
     * the tree. Descend to the bottom, following a path with enough free
     * space, preferring to move left if there's a choice.
     * 现在已到达了有足够空闲空间的节点,树中间的某个位置上面.
     * 沿着有足够空闲空间的路径下降到底部,如有选择,往左移动.
     */
    while (nodeno < NonLeafNodesPerPage)
    {
        //左树节点
        int         childnodeno = leftchild(nodeno);
        if (childnodeno < NodesPerPage &&
            fsmpage->fp_nodes[childnodeno] >= minvalue)
        {
            //如有机会,往左移动
            nodeno = childnodeno;
            continue;
        }
        //指向右树节点
        childnodeno++;          /* point to right child */
        if (childnodeno < NodesPerPage &&
            fsmpage->fp_nodes[childnodeno] >= minvalue)
        {
            //相当于下降了一层
            nodeno = childnodeno;
        }
        else
        {
            /*
             * Oops. The parent node promised that either left or right child
             * has enough space, but neither actually did. This can happen in
             * case of a "torn page", IOW if we crashed earlier while writing
             * the page to disk, and only part of the page made it to disk.
             * 父节点承诺了不是左树就是右树有足够的空间,但实际上并不是这样.
             * 这会发生在"torn page"的情况下,在写入page到磁盘上时系统崩溃,
             *   page只有一部分写入到磁盘中.
             *
             * Fix the corruption and restart.
             * 修复损坏并重启.
             */
            RelFileNode rnode;
            ForkNumber  forknum;
            BlockNumber blknum;
            //获取tag
            BufferGetTag(buf, &rnode, &forknum, &blknum);
            elog(DEBUG1, "fixing corrupt FSM block %u, relation %u/%u/%u",
                 blknum, rnode.spcNode, rnode.dbNode, rnode.relNode);
            /* make sure we hold an exclusive lock */
            //确保持有独占锁
            if (!exclusive_lock_held)
            {
                LockBuffer(buf, BUFFER_LOCK_UNLOCK);
                LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
                exclusive_lock_held = true;
            }
            //重建FSM
            fsm_rebuild_page(page);
            MarkBufferDirtyHint(buf, false);
            //重新搜索
            goto restart;
        }
    }
    /* We're now at the bottom level, at a node with enough space. */
    //现在已到底层,在有足够空间的节点上.
    slot = nodeno - NonLeafNodesPerPage;
    /*
     * Update the next-target pointer. Note that we do this even if we're only
     * holding a shared lock, on the grounds that it's better to use a shared
     * lock and get a garbled next pointer every now and then, than take the
     * concurrency hit of an exclusive lock.
     * 更新下一个目标块指针.
     * 注意:就算我们只持有共享锁,也可以做这个事情,
     *   基于这样的理由,最好是使用共享锁,时不时的获取一个打乱的下一个指针,
     *   这样比持有独占锁要好.
     *
     * Wrap-around is handled at the beginning of this function.
     * 在该函数的开始,回卷已处理.
     */
    fsmpage->fp_next_slot = slot + (advancenext ? 1 : 0);
    return slot;
}

三、跟踪分析

测试脚本


15:54:13 (xdb@[local]:5432)testdb=# insert into t1 values (1,'1','1');

启动gdb,设置断点


(gdb) b fsm_set_and_search
Breakpoint 1 at 0x888850: file freespace.c, line 676.
(gdb) c
Continuing.
Breakpoint 1, fsm_set_and_search (rel=0x7fd0d2f10788, addr=..., slot=5, newValue=0 '\000', minValue=1 '\001')
    at freespace.c:676
676     int         newslot = -1;
(gdb)

输入参数


(gdb) p *rel
$1 = {rd_node = {spcNode = 1663, dbNode = 16402, relNode = 50820}, rd_smgr = 0x1233b00, rd_refcnt = 1, rd_backend = -1, 
  rd_islocaltemp = false, rd_isnailed = false, rd_isvalid = true, rd_indexvalid = 1 '\001', rd_statvalid = false, 
  rd_createSubid = 0, rd_newRelfilenodeSubid = 0, rd_rel = 0x7fd0d2f109a0, rd_att = 0x7fd0d2f10ab8, rd_id = 50820, 
  rd_lockInfo = {lockRelId = {relId = 50820, dbId = 16402}}, rd_rules = 0x0, rd_rulescxt = 0x0, trigdesc = 0x0, 
  rd_rsdesc = 0x0, rd_fkeylist = 0x0, rd_fkeyvalid = false, rd_partkeycxt = 0x0, rd_partkey = 0x0, rd_pdcxt = 0x0, 
  rd_partdesc = 0x0, rd_partcheck = 0x0, rd_indexlist = 0x7fd0d2f0f820, rd_oidindex = 0, rd_pkindex = 0, 
  rd_replidindex = 0, rd_statlist = 0x0, rd_indexattr = 0x0, rd_projindexattr = 0x0, rd_keyattr = 0x0, rd_pkattr = 0x0, 
  rd_idattr = 0x0, rd_projidx = 0x0, rd_pubactions = 0x0, rd_options = 0x0, rd_index = 0x0, rd_indextuple = 0x0, 
  rd_amhandler = 0, rd_indexcxt = 0x0, rd_amroutine = 0x0, rd_opfamily = 0x0, rd_opcintype = 0x0, rd_support = 0x0, 
  rd_supportinfo = 0x0, rd_indoption = 0x0, rd_indexprs = 0x0, rd_indpred = 0x0, rd_exclops = 0x0, rd_exclprocs = 0x0, 
  rd_exclstrats = 0x0, rd_amcache = 0x0, rd_indcollation = 0x0, rd_fdwroutine = 0x0, rd_toastoid = 0, 
  pgstat_info = 0x12275f0}
(gdb) 
(gdb) p addr
$2 = {level = 0, logpageno = 0}

获取buffere,并锁定


(gdb) n
678     buf = fsm_readbuf(rel, addr, true);
(gdb) 
679     LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
(gdb) p buf
$3 = 105
(gdb)

获取page


(gdb) p page
$4 = (Page) 0x7fd0bf41dc00 ""
(gdb) p *page
$5 = 0 '\000'

调用fsm_search_avail函数,进入fsm_search_avail


(gdb) n
684         MarkBufferDirtyHint(buf, false);
(gdb) 
686     if (minValue != 0)
(gdb) 
690                                    addr.level == FSM_BOTTOM_LEVEL,
(gdb) step
689         newslot = fsm_search_avail(buf, minValue,
(gdb) 
fsm_search_avail (buf=105, minvalue=1 '\001', advancenext=true, exclusive_lock_held=true) at fsmpage.c:161
161     Page        page = BufferGetPage(buf);
(gdb)

获取FSMPage,fp_nodes数组,0表示未使用


(gdb) n
162     FSMPage     fsmpage = (FSMPage) PageGetContents(page);
(gdb) p page
$6 = (Page) 0x7fd0bf41dc00 ""
(gdb) n
173     if (fsmpage->fp_nodes[0] < minvalue)
(gdb) p *fsmpage
$7 = {fp_next_slot = 6, fp_nodes = 0x7fd0bf41dc1c "{{"}
(gdb) p *fsmpage->fp_nodes
$8 = 123 '{'
(gdb) p fsmpage->fp_nodes[0]
$9 = 123 '{'
(gdb) p fsmpage->fp_nodes[1]
$10 = 123 '{'
(gdb) p fsmpage->fp_nodes[2]
$11 = 0 '\000'
(gdb) p fsmpage->fp_nodes[3]
$12 = 123 '{'
(gdb) p fsmpage->fp_nodes[4]
$13 = 0 '\000'
(gdb) p fsmpage->fp_nodes[5]
$14 = 0 '\000'
(gdb) p fsmpage->fp_nodes[6]
$15 = 0 '\000'

使用fp_next_slot开始搜索.
从目标slot开始检索.每一步,把节点移到右边,然后上溯父节点.
在到达一个有足够空闲空间的节点时停止(因为根节点有足够的空间).


(gdb) n
181     target = fsmpage->fp_next_slot;
(gdb) 
182     if (target < 0 || target >= LeafNodesPerPage)
(gdb) p target
$16 = 6
(gdb) p LeafNodesPerPage
No symbol "__builtin_offsetof" in current context.
(gdb) n
184     target += NonLeafNodesPerPage;
(gdb) 
227     nodeno = target;
(gdb) p target
$17 = 4101
(gdb)

循环,直至找到满足条件的节点.
方法是移动到右边,如需要在同一层次上回卷,然后上溯.


(gdb) p fsmpage->fp_nodes[nodeno]
$19 = 0 '\000'
(gdb) p minvalue
$20 = 1 '\001'
(gdb) n
237         nodeno = parentof(rightneighbor(nodeno));
(gdb) n
228     while (nodeno > 0)
(gdb) p nodeno
$21 = 2050
(gdb) n
230         if (fsmpage->fp_nodes[nodeno] >= minvalue)
(gdb) fsmpage->fp_nodes[nodeno]
Undefined command: "fsmpage->fp_nodes".  Try "help".
(gdb) p fsmpage->fp_nodes[nodeno]
$22 = 0 '\000'
(gdb) n
237         nodeno = parentof(rightneighbor(nodeno));
(gdb) 
228     while (nodeno > 0)
(gdb) 
230         if (fsmpage->fp_nodes[nodeno] >= minvalue)
(gdb) p nodeno
$23 = 1025
(gdb) n
231             break;
(gdb) p fsmpage->fp_nodes[nodeno]
$24 = 1 '\001'
(gdb)

现在已到达了有足够空闲空间的节点,树中间的某个位置上面.
沿着有足够空闲空间的路径下降到底部.
如有选择,往左移动.本例,往左移动了.


(gdb) n
245     while (nodeno < NonLeafNodesPerPage)
(gdb) p nodeno
$25 = 1025
(gdb) n
247         int         childnodeno = leftchild(nodeno);
(gdb) 
249         if (childnodeno < NodesPerPage &&
(gdb) p childnodeno
$26 = 2051
(gdb) n
250             fsmpage->fp_nodes[childnodeno] >= minvalue)
(gdb) p fsmpage->fp_nodes[childnodeno]
$27 = 1 '\001'
(gdb) n
249         if (childnodeno < NodesPerPage &&
(gdb) 
252             nodeno = childnodeno;
(gdb) 
253             continue;
(gdb)

找到了相应的叶子节点


(gdb) 
245     while (nodeno < NonLeafNodesPerPage)
(gdb) n
247         int         childnodeno = leftchild(nodeno);
(gdb) 
249         if (childnodeno < NodesPerPage &&
(gdb) 
250             fsmpage->fp_nodes[childnodeno] >= minvalue)
(gdb) 
249         if (childnodeno < NodesPerPage &&
(gdb) 
255         childnodeno++;          /* point to right child */
(gdb) 
256         if (childnodeno < NodesPerPage &&
(gdb) p childnodeno
$28 = 4104
(gdb) n
257             fsmpage->fp_nodes[childnodeno] >= minvalue)
(gdb) 
256         if (childnodeno < NodesPerPage &&
(gdb) 
259             nodeno = childnodeno;
(gdb) p childnodeno
$29 = 4104
(gdb) n
245     while (nodeno < NonLeafNodesPerPage)
(gdb)

现在已到底层,在有足够空间的节点上.
同时,更新下一个目标块指针.


(gdb) 
293     slot = nodeno - NonLeafNodesPerPage;
(gdb) n
303     fsmpage->fp_next_slot = slot + (advancenext ? 1 : 0);
(gdb) p slot
$30 = 9
(gdb) p nodeno
$31 = 4104
(gdb) n
305     return slot;
(gdb) 
306 }
(gdb)

回到fsm_set_and_search,返回slot


(gdb) 
fsm_set_and_search (rel=0x7fd0d2f10788, addr=..., slot=5, newValue=0 '\000', minValue=1 '\001') at freespace.c:694
694     UnlockReleaseBuffer(buf);
(gdb) 
696     return newslot;
(gdb) 
(gdb) p newslot
$32 = 9
(gdb)

DONE!

四、参考资料

PG Source Code
Database Cluster, Databases, and Tables

向AI问一下细节

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