PostgreSQL 소스 코드 해독 (70) - 검색 어 \ # 55 (make one rel 함수 \ # 20 - hash join \ # 1)
데이터 구조
Cost 관련 주의: 실제 사용 하 는 매개 변수 값 은 시스템 설정 파일 을 통 해 정 의 됩 니 다. 상수 정의 가 아 닙 니 다!
typedef double Cost; /* execution cost (in page-access units) */
/* defaults for costsize.c's Cost parameters */
/* NB: cost-estimation code should use the variables, not these constants! */
/* : , ! */
/* If you change these, update backend/utils/misc/postgresql.sample.conf */
#define DEFAULT_SEQ_PAGE_COST 1.0 // page
#define DEFAULT_RANDOM_PAGE_COST 4.0 // page
#define DEFAULT_CPU_TUPLE_COST 0.01 // CPU
#define DEFAULT_CPU_INDEX_TUPLE_COST 0.005 // CPU
#define DEFAULT_CPU_OPERATOR_COST 0.0025 // CPU
#define DEFAULT_PARALLEL_TUPLE_COST 0.1 // , worker worker
#define DEFAULT_PARALLEL_SETUP_COST 1000.0 //
#define DEFAULT_EFFECTIVE_CACHE_SIZE 524288 /* , measured in pages */
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 10 0, ,
int max_parallel_workers_per_gather = 2;// gather worker
2. 소스 코드 해독
hash join 의 알고리즘 은 의사 코드 를 다음 과 같이 구현 합 니 다. Step 1 FOR smalltable_row IN (SELECT * FROM small_table) LOOP slot := HASH(small_table_row.join_key); INSERT_HASH_TABLE(slot,small_table_row); END LOOP;
Step 2 FOR large_table_row IN (SELECT * FROM large_table) LOOP slot := HASH(large_table_row.join_key); small_table_row = LOOKUP_HASH_TABLE(slot,large_table_row.join_key); IF small_table_row FOUND THEN output small_table_row + large_table_row; END IF; END LOOP;
hash_inner_and_outer 이 함수 가 hash join 접근 경 로 를 만 듭 니 다.
//------------------------------------------------ hash_inner_and_outer
/*
* hash_inner_and_outer
* Create hashjoin join paths by explicitly hashing both the outer and
* inner keys of each available hash clause.
* ( hash ) hash , hash join
*
* 'joinrel' is the join relation
* 'outerrel' is the outer join relation
* 'innerrel' is the inner join relation
* 'jointype' is the type of join to do
* 'extra' contains additional input values
*/
static void
hash_inner_and_outer(PlannerInfo *root,
RelOptInfo *joinrel,
RelOptInfo *outerrel,
RelOptInfo *innerrel,
JoinType jointype,
JoinPathExtraData *extra)
{
JoinType save_jointype = jointype;
bool isouterjoin = IS_OUTER_JOIN(jointype);
List *hashclauses;
ListCell *l;
/*
* We need to build only one hashclauses list for any given pair of outer
* and inner relations; all of the hashable clauses will be used as keys.
* hashclauses ; hashable hash 。
*
* Scan the join's restrictinfo list to find hashjoinable clauses that are
* usable with this pair of sub-relations.
* restrictinfo ， hash hashjoinable 。
*/
hashclauses = NIL;
foreach(l, extra->restrictlist)
{
RestrictInfo *restrictinfo = (RestrictInfo *) lfirst(l);
/*
* If processing an outer join, only use its own join clauses for
* hashing. For inner joins we need not be so picky.
* ， 。 ， 。
*/
if (isouterjoin && RINFO_IS_PUSHED_DOWN(restrictinfo, joinrel->relids))
continue;
if (!restrictinfo->can_join ||
restrictinfo->hashjoinoperator == InvalidOid)
continue; /* hash.not hashjoinable */
/*
* Check if clause has the form "outer op inner" or "inner op outer".
* outer op inner inner op outer
*/
if (!clause_sides_match_join(restrictinfo, outerrel, innerrel))
continue; /* no good for these input relations */
hashclauses = lappend(hashclauses, restrictinfo);// hash
}
/* If we found any usable hashclauses, make paths */
// hash , hash ,
if (hashclauses)
{
/*
* We consider both the cheapest-total-cost and cheapest-startup-cost
* outer paths. There's no need to consider any but the
* cheapest-total-cost inner path, however.
* : ， 。
* : ， 。
*/
Path *cheapest_startup_outer = outerrel->cheapest_startup_path;
Path *cheapest_total_outer = outerrel->cheapest_total_path;
Path *cheapest_total_inner = innerrel->cheapest_total_path;
/*
* If either cheapest-total path is parameterized by the other rel, we
* can't use a hashjoin. (There's no use looking for alternative
* input paths, since these should already be the least-parameterized
* available paths.)
* ， hash join。
* ( ， 。)
*/
if (PATH_PARAM_BY_REL(cheapest_total_outer, innerrel) ||
PATH_PARAM_BY_REL(cheapest_total_inner, outerrel))
return;//
/* Unique-ify if need be; we ignore parameterized possibilities */
// ,
if (jointype == JOIN_UNIQUE_OUTER)
{
cheapest_total_outer = (Path *)
create_unique_path(root, outerrel,
cheapest_total_outer, extra->sjinfo);
Assert(cheapest_total_outer);
jointype = JOIN_INNER;
try_hashjoin_path(root,
joinrel,
cheapest_total_outer,
cheapest_total_inner,
hashclauses,
jointype,
extra);
/* no possibility of cheap startup here */
}
else if (jointype == JOIN_UNIQUE_INNER)
{
cheapest_total_inner = (Path *)
create_unique_path(root, innerrel,
cheapest_total_inner, extra->sjinfo);
Assert(cheapest_total_inner);
jointype = JOIN_INNER;
try_hashjoin_path(root,
joinrel,
cheapest_total_outer,
cheapest_total_inner,
hashclauses,
jointype,
extra);
if (cheapest_startup_outer != NULL &&
cheapest_startup_outer != cheapest_total_outer)
try_hashjoin_path(root,
joinrel,
cheapest_startup_outer,
cheapest_total_inner,
hashclauses,
jointype,
extra);
}
else//
{
/*
* For other jointypes, we consider the cheapest startup outer
* together with the cheapest total inner, and then consider
* pairings of cheapest-total paths including parameterized ones.
* There is no use in generating parameterized paths on the basis
* of possibly cheap startup cost, so this is sufficient.
* ， ，
* 。
* ， 。
*/
ListCell *lc1;
ListCell *lc2;
if (cheapest_startup_outer != NULL)//
try_hashjoin_path(root,
joinrel,
cheapest_startup_outer,
cheapest_total_inner,
hashclauses,
jointype,
extra);// hash join
foreach(lc1, outerrel->cheapest_parameterized_paths)//
{
Path *outerpath = (Path *) lfirst(lc1);
/*
* We cannot use an outer path that is parameterized by the
* inner rel.
*
*/
if (PATH_PARAM_BY_REL(outerpath, innerrel))
continue;
foreach(lc2, innerrel->cheapest_parameterized_paths)//
{
Path *innerpath = (Path *) lfirst(lc2);
/*
* We cannot use an inner path that is parameterized by
* the outer rel, either.
* ,
*/
if (PATH_PARAM_BY_REL(innerpath, outerrel))
continue;
if (outerpath == cheapest_startup_outer &&
innerpath == cheapest_total_inner)
continue; /* already tried it */
try_hashjoin_path(root,
joinrel,
outerpath,
innerpath,
hashclauses,
jointype,
extra);// hash
}
}
}
/*
* If the joinrel is parallel-safe, we may be able to consider a
* partial hash join. However, we can't handle JOIN_UNIQUE_OUTER,
* because the outer path will be partial, and therefore we won't be
* able to properly guarantee uniqueness. Similarly, we can't handle
* JOIN_FULL and JOIN_RIGHT, because they can produce false null
* extended rows. Also, the resulting path must not be parameterized.
* We would be able to support JOIN_FULL and JOIN_RIGHT for Parallel
* Hash, since in that case we're back to a single hash table with a
* single set of match bits for each batch, but that will require
* figuring out a deadlock-free way to wait for the probe to finish.
* ， 。
* ， JOIN_UNIQUE_OUTER， ， 。
* ， JOIN_FULL JOIN_RIGHT， 。
* ， 。
* JOIN_FULL JOIN_RIGHT ，
* ， ， ，
* 。
*/
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))
{
Path *cheapest_partial_outer;
Path *cheapest_partial_inner = NULL;
Path *cheapest_safe_inner = NULL;
cheapest_partial_outer =
(Path *) linitial(outerrel->partial_pathlist);
/*
* Can we use a partial inner plan too, so that we can build a
* shared hash table in parallel?
* ， ?
*/
if (innerrel->partial_pathlist != NIL && enable_parallel_hash)
{
cheapest_partial_inner =
(Path *) linitial(innerrel->partial_pathlist);
try_partial_hashjoin_path(root, joinrel,
cheapest_partial_outer,
cheapest_partial_inner,
hashclauses, jointype, extra,
true /* parallel_hash */ );
}
/*
* Normally, given that the joinrel is parallel-safe, the cheapest
* total inner path will also be parallel-safe, but if not, we'll
* have to search for the cheapest safe, unparameterized inner
* path. If doing JOIN_UNIQUE_INNER, we can't use any alternative
* inner path.
* ， ， ，
* ， 、 。
* JOIN_UNIQUE_INNER， 。
*/
if (cheapest_total_inner->parallel_safe)
cheapest_safe_inner = cheapest_total_inner;
else if (save_jointype != JOIN_UNIQUE_INNER)
cheapest_safe_inner =
get_cheapest_parallel_safe_total_inner(innerrel->pathlist);
if (cheapest_safe_inner != NULL)
try_partial_hashjoin_path(root, joinrel,
cheapest_partial_outer,
cheapest_safe_inner,
hashclauses, jointype, extra,
false /* parallel_hash */ );
}
}
}
//----------------------------- try_hashjoin_path
/*
* try_hashjoin_path
* Consider a hash join path; if it appears useful, push it into
* the joinrel's pathlist via add_path().
* hash join .
* , add_path joinrel pathlist
*/
static void
try_hashjoin_path(PlannerInfo *root,
RelOptInfo *joinrel,
Path *outer_path,
Path *inner_path,
List *hashclauses,
JoinType jointype,
JoinPathExtraData *extra)
{
Relids required_outer;
JoinCostWorkspace workspace;
/*
* Check to see if proposed path is still parameterized, and reject if the
* parameterization wouldn't be sensible.
* ， ， 。
*
*/
required_outer = calc_non_nestloop_required_outer(outer_path,
inner_path);
if (required_outer &&
!bms_overlap(required_outer, extra->param_source_rels))
{
/* Waste no memory when we reject a path here */
bms_free(required_outer);
return;
}
/*
* See comments in try_nestloop_path(). Also note that hashjoin paths
* never have any output pathkeys, per comments in create_hashjoin_path.
* try_nestloop_path() 。
* ，hash join ， create_hashjoin_path .
*/
initial_cost_hashjoin(root, &workspace, jointype, hashclauses,
outer_path, inner_path, extra, false);//
if (add_path_precheck(joinrel,
workspace.startup_cost, workspace.total_cost,
NIL, required_outer))//
{
add_path(joinrel, (Path *)
create_hashjoin_path(root,
joinrel,
jointype,
&workspace,
extra,
outer_path,
inner_path,
false, /* parallel_hash */
extra->restrictlist,
required_outer,
hashclauses));// hash join ,
}
else
{
/* Waste no memory when we reject a path here */
bms_free(required_outer);
}
}
//------------------ create_hashjoin_path
/*
* create_hashjoin_path
* Creates a pathnode corresponding to a hash join between two relations.
* hash join Node
*
* 'joinrel' is the join relation
* 'jointype' is the type of join required
* 'workspace' is the result from initial_cost_hashjoin
* 'extra' contains various information about the join
* 'outer_path' is the cheapest outer path
* 'inner_path' is the cheapest inner path
* 'parallel_hash' to select Parallel Hash of inner path (shared hash table)
* 'restrict_clauses' are the RestrictInfo nodes to apply at the join
* 'required_outer' is the set of required outer rels
* 'hashclauses' are the RestrictInfo nodes to use as hash clauses
* (this should be a subset of the restrict_clauses list)
*/
HashPath *
create_hashjoin_path(PlannerInfo *root,
RelOptInfo *joinrel,
JoinType jointype,
JoinCostWorkspace *workspace,
JoinPathExtraData *extra,
Path *outer_path,
Path *inner_path,
bool parallel_hash,
List *restrict_clauses,
Relids required_outer,
List *hashclauses)
{
HashPath *pathnode = makeNode(HashPath);
pathnode->jpath.path.pathtype = T_HashJoin;
pathnode->jpath.path.parent = joinrel;
pathnode->jpath.path.pathtarget = joinrel->reltarget;
pathnode->jpath.path.param_info =
get_joinrel_parampathinfo(root,
joinrel,
outer_path,
inner_path,
extra->sjinfo,
required_outer,
&restrict_clauses);
pathnode->jpath.path.parallel_aware =
joinrel->consider_parallel && parallel_hash;
pathnode->jpath.path.parallel_safe = joinrel->consider_parallel &&
outer_path->parallel_safe && inner_path->parallel_safe;
/* This is a foolish way to estimate parallel_workers, but for now... */
pathnode->jpath.path.parallel_workers = outer_path->parallel_workers;
/*
* A hashjoin never has pathkeys, since its output ordering is
* unpredictable due to possible batching. XXX If the inner relation is
* small enough, we could instruct the executor that it must not batch,
* and then we could assume that the output inherits the outer relation's
* ordering, which might save a sort step. However there is considerable
* downside if our estimate of the inner relation size is badly off. For
* the moment we don't risk it. (Note also that if we wanted to take this
* seriously, joinpath.c would have to consider many more paths for the
* outer rel than it does now.)
* hashjoin ， ， 。
* ， ， ， 。
* ， ， 。
* ( ， ， joinpath.c 。)
*/
pathnode->jpath.path.pathkeys = NIL;
pathnode->jpath.jointype = jointype;
pathnode->jpath.inner_unique = extra->inner_unique;
pathnode->jpath.outerjoinpath = outer_path;
pathnode->jpath.innerjoinpath = inner_path;
pathnode->jpath.joinrestrictinfo = restrict_clauses;
pathnode->path_hashclauses = hashclauses;
/* final_cost_hashjoin will fill in pathnode->num_batches */
final_cost_hashjoin(root, pathnode, workspace, extra);//
return pathnode;
}
3. 추적 분석
테스트 스 크 립 트 는 다음 과 같 습 니 다.
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-# order by dw.dwbh;
QUERY PLAN
-------------------------------------------------------------------------------------------------
Sort (cost=20070.93..20320.93 rows=100000 width=47)
Output: dw.dwmc, dw.dwbh, dw.dwdz, gr.grbh, gr.xm, jf.ny, jf.je
Sort Key: dw.dwbh
-> Hash Join (cost=3754.00..8689.61 rows=100000 width=47)
Output: dw.dwmc, dw.dwbh, dw.dwdz, gr.grbh, gr.xm, jf.ny, jf.je
Inner Unique: true
Hash Cond: ((gr.dwbh)::text = (dw.dwbh)::text)
-> Hash Join (cost=3465.00..8138.00 rows=100000 width=31)
Output: gr.grbh, gr.xm, gr.dwbh, jf.ny, jf.je
Hash Cond: ((jf.grbh)::text = (gr.grbh)::text)
-> Seq Scan on public.t_jfxx jf (cost=0.00..1637.00 rows=100000 width=20)
Output: jf.ny, jf.je, jf.grbh
-> Hash (cost=1726.00..1726.00 rows=100000 width=16)
Output: gr.grbh, gr.xm, gr.dwbh
-> Seq Scan on public.t_grxx gr (cost=0.00..1726.00 rows=100000 width=16)
Output: gr.grbh, gr.xm, gr.dwbh
-> Hash (cost=164.00..164.00 rows=10000 width=20)
Output: dw.dwmc, dw.dwbh, dw.dwdz
-> Seq Scan on public.t_dwxx dw (cost=0.00..164.00 rows=10000 width=20)
Output: dw.dwmc, dw.dwbh, dw.dwdz
(20 rows)
gdb 시작, 정지점 추적 설정
(gdb) b hash_inner_and_outer
Breakpoint 1 at 0x7b066b: file joinpath.c, line 1684.
(gdb) c
Continuing.
Breakpoint 1, hash_inner_and_outer (root=0x2676078, joinrel=0x26d2bc0, outerrel=0x26814e0, innerrel=0x2682a10,
jointype=JOIN_INNER, extra=0x7ffd6ea6b9d0) at joinpath.c:1684
1684 JoinType save_jointype = jointype;
연결 유형 은 JOININNER
(gdb) p jointype
$1 = JOIN_INNER
1 번 과 3 번 RTE 의 연결 (즉 t dwxx 와 t grxx)
(gdb) p *joinrel->relids->words
$3 = 10
연결 조건 을 옮 겨 다 니 며 hash 연결 조건 가 져 오기
1697 foreach(l, extra->restrictlist)
(gdb)
1699 RestrictInfo *restrictinfo = (RestrictInfo *) lfirst(l);
성공 획득, tdwxx.dwbh = t_grxx.dwbh
(gdb)
1697 foreach(l, extra->restrictlist)
(gdb)
1722 if (hashclauses)
(gdb) p *hashclauses
$4 = {type = T_List, length = 1, head = 0x26d4068, tail = 0x26d4068}
원가 가 가장 낮은 외모 시작 경로 / 원가 가 가장 낮은 외모 방문 경로 / 원가 가 가장 낮은 내부 방문 경 로 는 각각 외모 순서 스 캔 / 외모 순서 스 캔 / 내부 순서 스 캔 입 니 다.
(gdb) n
1729 Path *cheapest_startup_outer = outerrel->cheapest_startup_path;
(gdb)
1730 Path *cheapest_total_outer = outerrel->cheapest_total_path;
(gdb)
1731 Path *cheapest_total_inner = innerrel->cheapest_total_path;
(gdb) p *cheapest_startup_outer
$5 = {type = T_Path, pathtype = T_SeqScan, parent = 0x26814e0, pathtarget = 0x2681718, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10000, startup_cost = 0, total_cost = 164,
pathkeys = 0x0}
(gdb) p *cheapest_total_outer
$6 = {type = T_Path, pathtype = T_SeqScan, parent = 0x26814e0, pathtarget = 0x2681718, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 10000, startup_cost = 0, total_cost = 164,
pathkeys = 0x0}
(gdb) p *cheapest_total_inner
$7 = {type = T_Path, pathtype = T_SeqScan, parent = 0x2682a10, pathtarget = 0x2682c48, param_info = 0x0,
parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 100000, startup_cost = 0, total_cost = 1726,
pathkeys = 0x0}
만약 외모 비용 이 가장 낮은 시작 경로 가 NULL 이 아니라면 hash 연결 을 시도 합 니 다.
(gdb) n
1740 PATH_PARAM_BY_REL(cheapest_total_inner, outerrel))
(gdb)
1739 if (PATH_PARAM_BY_REL(cheapest_total_outer, innerrel) ||
(gdb)
1744 if (jointype == JOIN_UNIQUE_OUTER)
(gdb)
1760 else if (jointype == JOIN_UNIQUE_INNER)
(gdb)
1796 if (cheapest_startup_outer != NULL)
(gdb)
1797 try_hashjoin_path(root,
try 입장hashjoin_path
(gdb) step
try_hashjoin_path (root=0x2676078, joinrel=0x26d2bc0, outer_path=0x26853b8, inner_path=0x26cf610, hashclauses=0x26d4090,
jointype=JOIN_INNER, extra=0x7ffd6ea6b9d0) at joinpath.c:737
737 required_outer = calc_non_nestloop_required_outer(outer_path,
try_hashjoin_path - > 초기 견적 원가
...
751 initial_cost_hashjoin(root, &workspace, jointype, hashclauses,
(gdb) p workspace
$9 = {startup_cost = 3465, total_cost = 4261, run_cost = 796, inner_run_cost = 0,
inner_rescan_run_cost = 6.9528109284473596e-310, outer_rows = 3.7882102964330281e-317,
inner_rows = 2.0115578425988515e-316, outer_skip_rows = 2.0115578425988515e-316,
inner_skip_rows = 6.9528109284331305e-310, numbuckets = 131072, numbatches = 2, inner_rows_total = 100000}
try_hashjoin_path - > 진입 함수 createhashjoin_path
(gdb) n
759 create_hashjoin_path(root,
(gdb) step
create_hashjoin_path (root=0x2676078, joinrel=0x26d2bc0, jointype=JOIN_INNER, workspace=0x7ffd6ea6b850,
extra=0x7ffd6ea6b9d0, outer_path=0x26853b8, inner_path=0x26cf610, parallel_hash=false, restrict_clauses=0x26d3098,
required_outer=0x0, hashclauses=0x26d4090) at pathnode.c:2330
2330 HashPath *pathnode = makeNode(HashPath);
try_hashjoin_path->create_hashjoin_path - > 원 가 를 계산 하고 되 돌려 줍 니 다.
(gdb)
2370 final_cost_hashjoin(root, pathnode, workspace, extra);
(gdb)
2372 return pathnode;
(gdb)
2373 }
(gdb) p *pathnode
$10 = {jpath = {path = {type = T_HashPath, pathtype = T_HashJoin, parent = 0x26d2bc0, pathtarget = 0x26d2df8,
param_info = 0x0, parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 100000,
startup_cost = 3465, total_cost = 5386, pathkeys = 0x0}, jointype = JOIN_INNER, inner_unique = false,
outerjoinpath = 0x26853b8, innerjoinpath = 0x26cf610, joinrestrictinfo = 0x26d3098}, path_hashclauses = 0x26d4090,
num_batches = 2, inner_rows_total = 100000}
try_hashjoin_path - > 경로 추가
(gdb) n
try_hashjoin_path (root=0x2676078, joinrel=0x26d2bc0, outer_path=0x26853b8, inner_path=0x26cf610, hashclauses=0x26d4090,
jointype=JOIN_INNER, extra=0x7ffd6ea6b9d0) at joinpath.c:758
758 add_path(joinrel, (Path *)
(gdb)
776 }
(gdb)
돌아 가기 hashinner_and_outer, 계속 순환
(gdb)
hash_inner_and_outer (root=0x2676078, joinrel=0x26d2bc0, outerrel=0x26814e0, innerrel=0x2682a10, jointype=JOIN_INNER,
extra=0x7ffd6ea6b9d0) at joinpath.c:1805
1805 foreach(lc1, outerrel->cheapest_parameterized_paths)
끝 함수 호출
1904 }
(gdb)
add_paths_to_joinrel (root=0x2676078, joinrel=0x26d2bc0, outerrel=0x26814e0, innerrel=0x2682a10, jointype=JOIN_INNER,
sjinfo=0x7ffd6ea6bac0, restrictlist=0x26d3098) at joinpath.c:315
315 if (joinrel->fdwroutine &&
(gdb) p *joinrel->pathlist
$11 = {type = T_List, length = 2, head = 0x26d4160, tail = 0x26d3e30}
joinrel 의 경로 링크 보기
(gdb) p *(Node *)joinrel->pathlist->head->data.ptr_value
$12 = {type = T_HashPath}
(gdb) p *(Node *)joinrel->pathlist->head->next->data.ptr_value
$13 = {type = T_MergePath}
(gdb) p *(HashPath *)joinrel->pathlist->head->data.ptr_value
$14 = {jpath = {path = {type = T_HashPath, pathtype = T_HashJoin, parent = 0x26d2bc0, pathtarget = 0x26d2df8,
param_info = 0x0, parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 100000,
startup_cost = 3465, total_cost = 5386, pathkeys = 0x0}, jointype = JOIN_INNER, inner_unique = false,
outerjoinpath = 0x26853b8, innerjoinpath = 0x26cf610, joinrestrictinfo = 0x26d3098}, path_hashclauses = 0x26d4090,
num_batches = 2, inner_rows_total = 100000}
(gdb) p *(MergePath *)joinrel->pathlist->head->next->data.ptr_value
$15 = {jpath = {path = {type = T_MergePath, pathtype = T_MergeJoin, parent = 0x26d2bc0, pathtarget = 0x26d2df8,
param_info = 0x0, parallel_aware = false, parallel_safe = true, parallel_workers = 0, rows = 100000,
startup_cost = 10035.66023721841, total_cost = 11955.396048959938, pathkeys = 0x2685928}, jointype = JOIN_INNER,
inner_unique = false, outerjoinpath = 0x26ce070, innerjoinpath = 0x26cf610, joinrestrictinfo = 0x26d3098},
path_mergeclauses = 0x26d3eb8, outersortkeys = 0x0, innersortkeys = 0x26d3f18, skip_mark_restore = false,
materialize_inner = false}
DONE! 함수 initialcost_hashjoin 과 finalcost_hashjoin 은 다음 소절 에 소개 합 니 다.
참고 자료
allpaths.c cost.h costsize.c PG Document:Query Planning
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