这篇文章主要讲解了“postgresql中match_unsorted_outer函数分析”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“Postgresql
这篇文章主要讲解了“postgresql中match_unsorted_outer函数分析”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“Postgresql中match_unsorted_outer函数分析”吧!
Cost相关
注意:实际使用的参数值通过系统配置文件定义,而不是这里的常量定义!
typedef double Cost;
#define DEFAULT_SEQ_PAGE_COST 1.0 //顺序扫描page的成本
#define DEFAULT_RANDOM_PAGE_COST 4.0 //随机扫描page的成本
#define DEFAULT_CPU_TUPLE_COST 0.01 //处理一个元组的CPU成本
#define DEFAULT_CPU_INDEX_TUPLE_COST 0.005 //处理一个索引元组的CPU成本
#define DEFAULT_CPU_OPERATOR_COST 0.0025 //执行一次操作或函数的CPU成本
#define DEFAULT_PARALLEL_TUPLE_COST 0.1 //并行执行,从一个worker传输一个元组到另一个worker的成本
#define DEFAULT_PARALLEL_SETUP_COST 1000.0 //构建并行执行环境的成本
#define DEFAULT_EFFECTIVE_CACHE_SIZE 524288
double seq_page_cost = DEFAULT_SEQ_PAGE_COST;
double random_page_cost = DEFAULT_RANDOM_PAGE_COST;
double cpu_tuple_cost = DEFAULT_CPU_TUPLE_COST;
double cpu_index_tuple_cost = DEFAULT_CPU_INDEX_TUPLE_COST;
double cpu_operator_cost = DEFAULT_CPU_OPERATOR_COST;
double parallel_tuple_cost = DEFAULT_PARALLEL_TUPLE_COST;
double parallel_setup_cost = DEFAULT_PARALLEL_SETUP_COST;
int effective_cache_size = DEFAULT_EFFECTIVE_CACHE_SIZE;
Cost disable_cost = 1.0e10;//1后面10个0,通过设置一个巨大的成本,让优化器自动放弃此路径
int max_parallel_workers_per_gather = 2;//每次gather使用的worker数
nested loop join的算法实现伪代码如下:
FOR row#1 IN (select * from dataset#1) LOOP
FOR row#2 IN (select * from dataset#2 where row#1 is matched) LOOP
output values from row#1 and row#2
END LOOP
END LOOP
match_unsorted_outer函数通过在每个可能的外表访问路径上使用迭代替换或合并连接的方式尝试构造连接访问路径。
//------------------------------------------------ match_unsorted_outer
static void
match_unsorted_outer(PlannerInfo *root,//优化器信息
RelOptInfo *joinrel,//连接生成的relation
RelOptInfo *outerrel,//外表
RelOptInfo *innerrel,//内表
JoinType jointype,//连接类型
JoinPathExtraData *extra)//额外的信息
{
JoinType save_jointype = jointype;
bool nestjoinOK;
bool useallclauses;
Path *inner_cheapest_total = innerrel->cheapest_total_path;
Path *matpath = NULL;
ListCell *lc1;
switch (jointype)
{
case JOIN_INNER:
case JOIN_LEFT:
case JOIN_SEMI:
case JOIN_ANTI:
nestjoinOK = true;
useallclauses = false;
break;
case JOIN_RIGHT:
case JOIN_FULL:
nestjoinOK = false;
useallclauses = true;
break;
case JOIN_UNIQUE_OUTER:
case JOIN_UNIQUE_INNER:
jointype = JOIN_INNER;
nestjoinOK = true;
useallclauses = false;
break;
default:
elog(ERROR, "unrecognized join type: %d",
(int) jointype);
nestjoinOK = false;
useallclauses = false;
break;
}
if (PATH_PARAM_BY_REL(inner_cheapest_total, outerrel))
inner_cheapest_total = NULL;
if (save_jointype == JOIN_UNIQUE_INNER)
{
//除了使用外表rel参数化的内表访问路径,没有其他办法.
if (inner_cheapest_total == NULL)
return;
inner_cheapest_total = (Path *)
create_unique_path(root, innerrel, inner_cheapest_total, extra->sjinfo);
Assert(inner_cheapest_total);
}
else if (nestjoinOK)
{
if (enable_material && inner_cheapest_total != NULL &&
!ExecMaterializesOutput(inner_cheapest_total->pathtype))
matpath = (Path *)
create_material_path(innerrel, inner_cheapest_total);
}
foreach(lc1, outerrel->pathlist)//遍历外表访问路径
{
Path *outerpath = (Path *) lfirst(lc1);
List *merge_pathkeys;
if (PATH_PARAM_BY_REL(outerpath, innerrel))
continue;
if (save_jointype == JOIN_UNIQUE_OUTER)
{
if (outerpath != outerrel->cheapest_total_path)
continue;
outerpath = (Path *) create_unique_path(root, outerrel,
outerpath, extra->sjinfo);
Assert(outerpath);
}
merge_pathkeys = build_join_pathkeys(root, joinrel, jointype,
outerpath->pathkeys);
if (save_jointype == JOIN_UNIQUE_INNER)
{
try_nestloop_path(root,
joinrel,
outerpath,
inner_cheapest_total,
merge_pathkeys,
jointype,
extra);
}
else if (nestjoinOK)
{
ListCell *lc2;
foreach(lc2, innerrel->cheapest_parameterized_paths)//遍历参数化路径
{
Path *innerpath = (Path *) lfirst(lc2);
try_nestloop_path(root,
joinrel,
outerpath,
innerpath,
merge_pathkeys,
jointype,
extra);//尝试nestloop join
}
if (matpath != NULL)
try_nestloop_path(root,
joinrel,
outerpath,
matpath,
merge_pathkeys,
jointype,
extra);//也会尝试成本最低的物化内表访问路径
}
//如外表需保证唯一,则继续下一循环
if (save_jointype == JOIN_UNIQUE_OUTER)
continue;
//内表是被外表参数化的,继续下一循环
if (inner_cheapest_total == NULL)
continue;
//构造merge join路径
generate_mergejoin_paths(root, joinrel, innerrel, outerpath,
save_jointype, extra, useallclauses,
inner_cheapest_total, merge_pathkeys,
false);
}
if (joinrel->consider_parallel &&
save_jointype != JOIN_UNIQUE_OUTER &&
save_jointype != JOIN_FULL &&
save_jointype != JOIN_RIGHT &&
outerrel->partial_pathlist != NIL &&
bms_is_empty(joinrel->lateral_relids))
{
if (nestjoinOK)
consider_parallel_nestloop(root, joinrel, outerrel, innerrel,
save_jointype, extra);//尝试并行netstloop join
if (inner_cheapest_total == NULL ||
!inner_cheapest_total->parallel_safe)
{
if (save_jointype == JOIN_UNIQUE_INNER)
return;
inner_cheapest_total = get_cheapest_parallel_safe_total_inner(
innerrel->pathlist);
}
if (inner_cheapest_total)
consider_parallel_mergejoin(root, joinrel, outerrel, innerrel,
save_jointype, extra,
inner_cheapest_total);//尝试并行merge join
}
}
//------------------------------------ try_nestloop_path
static void
try_nestloop_path(PlannerInfo *root,
RelOptInfo *joinrel,
Path *outer_path,
Path *inner_path,
List *pathkeys,
JoinType jointype,
JoinPathExtraData *extra)
{
Relids required_outer;
JoinCostWorkspace workspace;
RelOptInfo *innerrel = inner_path->parent;
RelOptInfo *outerrel = outer_path->parent;
Relids innerrelids;
Relids outerrelids;
Relids inner_paramrels = PATH_REQ_OUTER(inner_path);
Relids outer_paramrels = PATH_REQ_OUTER(outer_path);
if (innerrel->top_parent_relids)
innerrelids = innerrel->top_parent_relids;
else
innerrelids = innerrel->relids;
if (outerrel->top_parent_relids)
outerrelids = outerrel->top_parent_relids;
else
outerrelids = outerrel->relids;
required_outer = calc_nestloop_required_outer(outerrelids, outer_paramrels,
innerrelids, inner_paramrels);
if (required_outer &&
((!bms_overlap(required_outer, extra->param_source_rels) &&
!allow_star_schema_join(root, outerrelids, inner_paramrels)) ||
have_dangerous_phv(root, outerrelids, inner_paramrels)))
{
bms_free(required_outer);
return;//退出
}
initial_cost_nestloop(root, &workspace, jointype,
outer_path, inner_path, extra);//初步计算nestloop的成本
if (add_path_precheck(joinrel,
workspace.startup_cost, workspace.total_cost,
pathkeys, required_outer))//初步检查
{
if (PATH_PARAM_BY_PARENT(inner_path, outer_path->parent))
{
inner_path = reparameterize_path_by_child(root, inner_path,
outer_path->parent);
if (!inner_path)
{
bms_free(required_outer);
return;
}
}
add_path(joinrel, (Path *)
create_nestloop_path(root,
joinrel,
jointype,
&workspace,
extra,
outer_path,
inner_path,
extra->restrictlist,
pathkeys,
required_outer));//创建并添加nestloop路径
}
else
{
bms_free(required_outer);
}
}
//----------------------- create_nestloop_path
NestPath *
create_nestloop_path(PlannerInfo *root,//优化器信息
RelOptInfo *joinrel,//连接生成的relation
JoinType jointype,//连接类型
JoinCostWorkspace *workspace,//成本workspace
JoinPathExtraData *extra,//额外的信息
Path *outer_path,//外表访问路径
Path *inner_path,//内部访问路径
List *restrict_clauses,//约束条件
List *pathkeys,//排序键
Relids required_outer)//需依赖的外部relids
{
NestPath *pathnode = makeNode(NestPath);
Relids inner_req_outer = PATH_REQ_OUTER(inner_path);
if (bms_overlap(inner_req_outer, outer_path->parent->relids))//内表需依赖的relids与外表父路径的relids存在交集
{
Relids inner_and_outer = bms_uNIOn(inner_path->parent->relids,
inner_req_outer);//合并内部父路径的relids和内部依赖的relids
List *jclauses = NIL;
ListCell *lc;
foreach(lc, restrict_clauses)
{
RestrictInfo *rinfo = (RestrictInfo *) lfirst(lc);
if (!join_clause_is_movable_into(rinfo,
inner_path->parent->relids,
inner_and_outer))
jclauses = lappend(jclauses, rinfo);
}
restrict_clauses = jclauses;
}
//创建路径
pathnode->path.pathtype = T_NestLoop;
pathnode->path.parent = joinrel;
pathnode->path.pathtarget = joinrel->reltarget;
pathnode->path.param_info =
get_joinrel_parampathinfo(root,
joinrel,
outer_path,
inner_path,
extra->sjinfo,
required_outer,
&restrict_clauses);
pathnode->path.parallel_aware = false;
pathnode->path.parallel_safe = joinrel->consider_parallel &&
outer_path->parallel_safe && inner_path->parallel_safe;
pathnode->path.parallel_workers = outer_path->parallel_workers;
pathnode->path.pathkeys = pathkeys;
pathnode->jointype = jointype;
pathnode->inner_unique = extra->inner_unique;
pathnode->outerjoinpath = outer_path;
pathnode->innerjoinpath = inner_path;
pathnode->joinrestrictinfo = restrict_clauses;
final_cost_nestloop(root, pathnode, workspace, extra);
return pathnode;
}
测试脚本如下
testdb=# explain verbose select dw.*,grjf.grbh,grjf.xm,grjf.ny,grjf.je
testdb-# from t_dwxx dw,lateral (select gr.grbh,gr.xm,jf.ny,jf.je
testdb(# from t_grxx gr inner join t_jfxx jf
testdb(# on gr.dwbh = dw.dwbh
testdb(# and gr.grbh = jf.grbh) grjf
testdb-# where dwbh = '1001'
testdb-# order by dw.dwbh;
QUERY PLAN
----------------------------------------------------------------------------------------------
Nested Loop (cost=0.87..112.00 rows=10 width=47)
Output: dw.dwmc, dw.dwbh, dw.dwdz, gr.grbh, gr.xm, jf.ny, jf.je
-> Nested Loop (cost=0.58..28.80 rows=10 width=32)
Output: dw.dwmc, dw.dwbh, dw.dwdz, gr.grbh, gr.xm
-> Index Scan using t_dwxx_pkey on public.t_dwxx dw (cost=0.29..8.30 rows=1 width=20)
Output: dw.dwmc, dw.dwbh, dw.dwdz
Index Cond: ((dw.dwbh)::text = '1001'::text)
-> Index Scan using idx_t_grxx_dwbh on public.t_grxx gr (cost=0.29..20.40 rows=10 width=16)
Output: gr.dwbh, gr.grbh, gr.xm, gr.xb, gr.nl
Index Cond: ((gr.dwbh)::text = '1001'::text)
-> Index Scan using idx_t_jfxx_grbh on public.t_jfxx jf (cost=0.29..8.31 rows=1 width=20)
Output: jf.grbh, jf.ny, jf.je
Index Cond: ((jf.grbh)::text = (gr.grbh)::text)
(13 rows)
启动gdb,设置断点跟踪
(gdb) b match_unsorted_outer
Breakpoint 1 at 0x7aff2c: file joinpath.c, line 1338.
(gdb) c
Continuing.
Breakpoint 1, match_unsorted_outer (root=0x2a987a8, joinrel=0x2aef8a0, outerrel=0x2aa20f0, innerrel=0x2aa3620,
jointype=JOIN_INNER, extra=0x7ffc343Da930) at joinpath.c:1338
1338 JoinType save_jointype = jointype;
(gdb)
joinrel是1号RTE和3号RTE的连接,即t_dwxx和t_grxx
(gdb) p *joinrel->relids->Words
$3 = 10
内表成本最低的访问路径是索引扫描
(gdb) n
1341 Path *inner_cheapest_total = innerrel->cheapest_total_path;
(gdb)
1342 Path *matpath = NULL;
(gdb) p *inner_cheapest_total
$1 = {type = T_IndexPath, pathtype = T_IndexScan, parent = 0x2aa3620, pathtarget = 0x2aa3858, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.29249999999999998,
total_cost = 20.399882614957409, pathkeys = 0x0}
连接类型为JOIN_INNER,设置nestjoinOK为T,useallclauses为F
(gdb) p save_jointype
$4 = JOIN_INNER
(gdb) n
1352 switch (jointype)
(gdb)
1358 nestjoinOK = true;
(gdb)
1359 useallclauses = false;
(gdb)
1360 break;
(gdb)
创建物化内表访问路径
(gdb) n
1408 if (enable_material && inner_cheapest_total != NULL &&
(gdb)
1409 !ExecMaterializesOutput(inner_cheapest_total->pathtype))
(gdb)
1408 if (enable_material && inner_cheapest_total != NULL &&
(gdb)
1410 matpath = (Path *)
(gdb)
1414 foreach(lc1, outerrel->pathlist)
(gdb) p *matpath
$5 = {type = T_MaterialPath, pathtype = T_Material, parent = 0x2aa3620, pathtarget = 0x2aa3858, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.29249999999999998,
total_cost = 20.44988261495741, pathkeys = 0x0}
开始遍历外表访问路径
(gdb) n
1416 Path *outerpath = (Path *) lfirst(lc1);
尝试使用这个外表访问路径和内表的各种可用路径构建nestloop连接
尝试内部关系的每个可用的参数化(包括非参数化用例)成本最低路径
...
1461 else if (nestjoinOK)
(gdb)
1471 foreach(lc2, innerrel->cheapest_parameterized_paths)
(gdb) n
1473 Path *innerpath = (Path *) lfirst(lc2);
(gdb) n
1475 try_nestloop_path(root,
(gdb) p *innerpath
$6 = {type = T_IndexPath, pathtype = T_IndexScan, parent = 0x2aa3620, pathtarget = 0x2aa3858, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.29249999999999998,
total_cost = 20.399882614957409, pathkeys = 0x0}
(gdb) n
1471 foreach(lc2, innerrel->cheapest_parameterized_paths)
(gdb)
1473 Path *innerpath = (Path *) lfirst(lc2);
(gdb)
1475 try_nestloop_path(root,
(gdb)
1471 foreach(lc2, innerrel->cheapest_parameterized_paths)
(gdb)
同时,也会尝试成本最低的物化内表访问路径
1485 if (matpath != NULL)
(gdb)
1486 try_nestloop_path(root,
(gdb)
1496 if (save_jointype == JOIN_UNIQUE_OUTER)
完成match_unsorted_outer的调用
1522 save_jointype != JOIN_RIGHT &&
(gdb)
1550 }
(gdb)
add_paths_to_joinrel (root=0x2a987a8, joinrel=0x2aef8a0, outerrel=0x2aa20f0, innerrel=0x2aa3620, jointype=JOIN_INNER,
sjinfo=0x7ffc343daa20, restrictlist=0x0) at joinpath.c:306
306 if (enable_hashjoin || jointype == JOIN_FULL)
结果joinrel的访问路径
(gdb) p *joinrel->pathlist
$9 = {type = T_List, length = 1, head = 0x2aefde8, tail = 0x2aefde8}
(gdb) p *(Node *)joinrel->pathlist->head->data.ptr_value
$10 = {type = T_NestPath}
(gdb) p *(NestPath *)joinrel->pathlist->head->data.ptr_value
$11 = {path = {type = T_NestPath, pathtype = T_NestLoop, parent = 0x2aef8a0, pathtarget = 0x2aefad8, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.57750000000000001,
total_cost = 28.802382614957409, pathkeys = 0x0}, jointype = JOIN_INNER, inner_unique = false,
outerjoinpath = 0x2aeb0d8, innerjoinpath = 0x2aeb408, joinrestrictinfo = 0x0}
下面考察try_nestloop_path函数的处理逻辑,设置断点,进入try_nestloop_path函数
(gdb) b try_nestloop_path
Breakpoint 1 at 0x7ae950: file joinpath.c, line 373.
(gdb) c
Continuing.
Breakpoint 1, try_nestloop_path (root=0x2a987a8, joinrel=0x2aef8a0, outer_path=0x2aeb0d8, inner_path=0x2aeb408,
pathkeys=0x0, jointype=JOIN_INNER, extra=0x7ffc343da930) at joinpath.c:373
373 RelOptInfo *innerrel = inner_path->parent;
joinrel初始时,pathlist为NULL
(gdb) p *(Node *)joinrel->pathlist->head->data.ptr_value
Cannot access memory at address 0x8
外表访问路径为索引扫描(t_dwxx),内表访问路径为索引扫描(t_grxx)
(gdb) p *outer_path
$2 = {type = T_IndexPath, pathtype = T_IndexScan, parent = 0x2aa20f0, pathtarget = 0x2aa2328, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 1, startup_cost = 0.28500000000000003,
total_cost = 8.3025000000000002, pathkeys = 0x0}
(gdb) p *inner_path
$3 = {type = T_IndexPath, pathtype = T_IndexScan, parent = 0x2aa3620, pathtarget = 0x2aa3858, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.29249999999999998,
total_cost = 20.399882614957409, pathkeys = 0x0}
初步计算nestloop的成本
...
(gdb) p required_outer
$4 = (Relids) 0x0
(gdb) n
422 initial_cost_nestloop(root, &workspace, jointype,
创建nestloop path并添加到joinrel中
425 if (add_path_precheck(joinrel,
(gdb)
434 if (PATH_PARAM_BY_PARENT(inner_path, outer_path->parent))
(gdb)
451 create_nestloop_path(root,
(gdb)
450 add_path(joinrel, (Path *)
(gdb)
生成的第一条路径
(gdb) p *(NestPath *)joinrel->pathlist->head->data.ptr_value
$6 = {path = {type = T_NestPath, pathtype = T_NestLoop, parent = 0x2aef8a0, pathtarget = 0x2aefad8, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10, startup_cost = 0.57750000000000001,
total_cost = 28.802382614957409, pathkeys = 0x0}, jointype = JOIN_INNER, inner_unique = false,
outerjoinpath = 0x2aeb0d8, innerjoinpath = 0x2aeb408, joinrestrictinfo = 0x0}
继续执行,尝试第二条路径
(gdb) c
Continuing.
Breakpoint 1, try_nestloop_path (root=0x2a987a8, joinrel=0x2aef8a0, outer_path=0x2aeb0d8, inner_path=0x2aecf28,
pathkeys=0x0, jointype=JOIN_INNER, extra=0x7ffc343da930) at joinpath.c:373
373 RelOptInfo *innerrel = inner_path->parent;
查看inner_path,即内表的cheapest_parameterized_paths链表中的第二个元素
(gdb) p *inner_path
$9 = {type = T_IndexPath, pathtype = T_IndexScan, parent = 0x2aa3620, pathtarget = 0x2aa3858, param_info = 0x2aed6f8,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 1, startup_cost = 0.29249999999999998,
total_cost = 0.35258, pathkeys = 0x2aeceb0}
使用此路径尝试nest loop访问路径,但该路径依赖外部relids(4号RTE),被丢弃
403 if (required_outer &&
(gdb)
405 !allow_star_schema_join(root, outerrelids, inner_paramrels)) ||
(gdb)
404 ((!bms_overlap(required_outer, extra->param_source_rels) &&
(gdb)
409 bms_free(required_outer);
(gdb) p *required_outer
$12 = {nwords = 1, words = 0x2aefe4c}
(gdb) p *required_outer->words
$13 = 16
(gdb) n
410 return;
(gdb)
感谢各位的阅读,以上就是“PostgreSQL中match_unsorted_outer函数分析”的内容了,经过本文的学习后,相信大家对PostgreSQL中match_unsorted_outer函数分析这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是编程网,小编将为大家推送更多相关知识点的文章,欢迎关注!
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