这篇文章主要介绍“PostgreSQL中grouping_planner函数有什么作用”，在日常操作中，相信很多人在PostgreSQL中grouping_planner函数有什么作用问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”PostgreSQL中grouping_planner函数有什么作用”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
分组/聚集等操作是在一个Relation上叠加分组/聚集运算,grouping_planner函数首先通过query_planner函数生成一个新的关系,然后在此关系上attached分组/聚集等操作。
/*--------------------
* grouping_planner
* Perform planning steps related to grouping, aggregation, etc.
* 执行与与分组/聚集相关的"规划步骤".
* 分组/聚集等操作是在一个Relation上叠加分组/聚集运算,
* PG首先通过query_planner函数生成一个新的关系,然后在此关系上attached分组/聚集等操作
*
* This function adds all required top-level processing to the scan/join
* Path(s) produced by query_planner.
*
* 该函数还处理了所有需要在顶层处理的扫描/连接路径(通过query_planner函数生成)
*
* If inheritance_update is true, we're being called from inheritance_planner
* and should not include a ModifyTable step in the resulting Path(s).
* (inheritance_planner will create a single ModifyTable node covering all the
* target tables.)
*
* 如果标志inheritance_update为true,这个函数的调用者是inheritance_planner,在结果路径中
* 不应包含ModifyTable步骤(inheritance_planner会创建一个单独的覆盖所有目标表的ModifyTable节点).
*
* tuple_fraction is the fraction of tuples we expect will be retrieved.
* tuple_fraction is interpreted as follows:
* 0: expect all tuples to be retrieved (normal case)
* 0 < tuple_fraction < 1: expect the given fraction of tuples available
* from the plan to be retrieved
* tuple_fraction >= 1: tuple_fraction is the absolute number of tuples
* expected to be retrieved (ie, a LIMIT specification)
*
* tuple_fraction是我们希望搜索的元组比例:
* 0:正常情况下,期望扫描所有的元组
* 大于0小于1:按给定的比例扫描
* 大于等于1:扫描的元组数量(比如通过LIMIT语句指定)
*
* Returns nothing; the useful output is in the Paths we attach to the
* (UPPERREL_FINAL, NULL) upperrel in *root. In addition,
* root->processed_tlist contains the final processed targetlist.
*
* 该函数没有返回值,有用的输出是root->upperrel->Paths,另外,root->processed_tlist中存储最终的投影列
*
* Note that we have not done set_cheapest() on the final rel; it's convenient
* to leave this to the caller.
*--------------------
*/
static void
grouping_planner(PlannerInfo *root, bool inheritance_update,
double tuple_fraction)
{
Query *parse = root->parse;
List *tlist;
int64 offset_est = 0;
int64 count_est = 0;
double limit_tuples = -1.0;
bool have_postponed_srfs = false;
PathTarget *final_target;
List *final_targets;
List *final_targets_contain_srfs;
bool final_target_parallel_safe;
RelOptInfo *current_rel;
RelOptInfo *final_rel;
ListCell *lc;
/* Tweak caller-supplied tuple_fraction if have LIMIT/OFFSET */
//如果存在LIMIT/OFFSET子句,调整tuple_fraction
if (parse->limitCount || parse->limitOffset)//存在LIMIT/OFFSET语句
{
tuple_fraction = preprocess_limit(root, tuple_fraction,
&offset_est, &count_est);//获取元组数量
/*
* If we have a known LIMIT, and don't have an unknown OFFSET, we can
* estimate the effects of using a bounded sort.
* 如果我们有一个已知LIMIT，并且没有未知的OFFSET，我们可以估算使用有界排序的效果。
*/
if (count_est > 0 && offset_est >= 0)
limit_tuples = (double) count_est + (double) offset_est;//
}
/* Make tuple_fraction accessible to lower-level routines */
//使tuple_fraction可被低级别的处理过程访问(在优化器信息中设置)
root->tuple_fraction = tuple_fraction;//设置值
if (parse->setOperations)//集合操作,如UNION等
{
/*
* If there's a top-level ORDER BY, assume we have to fetch all the
* tuples. This might be too simplistic given all the hackery below
* to possibly avoid the sort; but the odds of accurate estimates here
* are pretty low anyway. XXX try to get rid of this in favor of
* letting plan_set_operations generate both fast-start and
* cheapest-total paths.
* 如果语句的最外层(顶级)存在ORDER BY子句，假设我们必须获取所有元组。
* 这可能过于简单，但无论如何，准确估计的几率是相当低的。
* XXX试图摆脱这种情况，让plan_set_operations同时生成快速启动和最便宜的路径。
*/
if (parse->sortClause)
root->tuple_fraction = 0.0;//存在排序操作,需扫描所有的元组
/*
* Construct Paths for set operations. The results will not need any
* work except perhaps a top-level sort and/or LIMIT. Note that any
* special work for recursive unions is the responsibility of
* plan_set_operations.
* 为集合操作构造路径。
* 除了最外层的SORT/LIMIT操作外不需要作其他操作。
注意，递归联合的任何特殊工作都是plan_set_operations负责。
*/
current_rel = plan_set_operations(root);//调用集合操作的"规划"函数
/*
* We should not need to call preprocess_targetlist, since we must be
* in a SELECT query node. Instead, use the targetlist returned by
* plan_set_operations (since this tells whether it returned any
* resjunk columns!), and transfer any sort key information from the
* original tlist.
* 我们不需要调用preprocess_targetlist函数，因为执行这些操作必须在SELECT查询NODE中。
* 相反，使用plan_set_operations函数返回的targetlist(因为这告诉它是否返回了所有的resjunk列)，
* 并从原始投影列链表tlist中传输所有的排序sort键信息。
*/
Assert(parse->commandType == CMD_SELECT);
tlist = root->processed_tlist; /* 从plan_set_operations函数的返回结果中获取;from plan_set_operations */
/* for safety, copy processed_tlist instead of modifying in-place */
//为了安全起见，复制processed_tlist，而不是就地修改
tlist = postprocess_setop_tlist(copyObject(tlist), parse->targetList);
/* Save aside the final decorated tlist */
//
root->processed_tlist = tlist;
/* Also extract the PathTarget form of the setop result tlist */
//从集合操作结果投影列中获取PathTarget格式的结果列
final_target = current_rel->cheapest_total_path->pathtarget;
/* And check whether it's parallel safe */
//检查是否并行安全
final_target_parallel_safe =
is_parallel_safe(root, (Node *) final_target->exprs);
/* The setop result tlist couldn't contain any SRFs */
//集合操作结果投影列不能包含任何的SRFs
Assert(!parse->hasTargetSRFs);
final_targets = final_targets_contain_srfs = NIL;
/*
* Can't handle FOR [KEY] UPDATE/SHARE here (parser should have
* checked already, but let's make sure).
* 无法在这里处理[KEY]更新/共享(解析器应该已经检查过了，但需要确认)。
*/
if (parse->rowMarks)
ereport(ERROR,
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
/*------
translator: %s is a SQL row locking clause such as FOR UPDATE */
errmsg("%s is not allowed with UNION/INTERSECT/EXCEPT",
LCS_asString(linitial_node(RowMarkClause,
parse->rowMarks)->strength))));
/*
* Calculate pathkeys that represent result ordering requirements
* 计算表示结果排序需求的pathkeys
*/
Assert(parse->distinctClause == NIL);
root->sort_pathkeys = make_pathkeys_for_sortclauses(root,
parse->sortClause,
tlist);
}
else//非集合操作
{
/* No set operations, do regular planning */
//没有集合操作,执行常规的规划过程
PathTarget *sort_input_target;
List *sort_input_targets;
List *sort_input_targets_contain_srfs;
bool sort_input_target_parallel_safe;
PathTarget *grouping_target;
List *grouping_targets;
List *grouping_targets_contain_srfs;
bool grouping_target_parallel_safe;
PathTarget *scanjoin_target;
List *scanjoin_targets;
List *scanjoin_targets_contain_srfs;
bool scanjoin_target_parallel_safe;
bool scanjoin_target_same_exprs;
bool have_grouping;
AggClauseCosts agg_costs;
WindowFuncLists *wflists = NULL;
List *activeWindows = NIL;
grouping_sets_data *gset_data = NULL;
standard_qp_extra qp_extra;
/* A recursive query should always have setOperations */
//递归查询应包含集合操作,检查!
Assert(!root->hasRecursion);//检查
/* Preprocess grouping sets and GROUP BY clause, if any */
//预处理grouping sets语句和GROUP BY 子句
if (parse->groupingSets)//
{
gset_data = preprocess_grouping_sets(root);//预处理grouping sets语句
}
else
{
/* Preprocess regular GROUP BY clause, if any */
//如处理常规的GROUP BY 子句
if (parse->groupClause)
parse->groupClause = preprocess_groupclause(root, NIL);//处理普通的Group By语句
}
/* Preprocess targetlist */
//预处理投影列
tlist = preprocess_targetlist(root);//处理投影列
/*
* We are now done hacking up the query's targetlist. Most of the
* remaining planning work will be done with the PathTarget
* representation of tlists, but save aside the full representation so
* that we can transfer its decoration (resnames etc) to the topmost
* tlist of the finished Plan.
* 现在已经完成了对查询语句targetlist的hacking工作。
* 剩下的大部分规划工作将使用tlists的PathTarget来完成，
* 但是需要保留完整的信息，这样我们就可以将它的修饰信息(如resname等)转移到完成计划的最顶层tlist中。
*/
root->processed_tlist = tlist;//赋值
/*
* Collect statistics about aggregates for estimating costs, and mark
* all the aggregates with resolved aggtranstypes. We must do this
* before slicing and dicing the tlist into various pathtargets, else
* some copies of the Aggref nodes might escape being marked with the
* correct transtypes.
* 收集关于聚集操作的统计数据以估计成本，并在所有聚集操作上标上已解决的aggtranstypes。
* 必须在将tlist切割成各种PathKeys之前完成这项工作，
* 否则一些Aggref节点的副本中正确transtypes可能会被替换。
*
* Note: currently, we do not detect duplicate aggregates here. This
* may result in somewhat-overestimated cost, which is fine for our
* purposes since all Paths will get charged the same. But at some
* point we might wish to do that detection in the planner, rather
* than during executor startup.
* 注意:目前，我们没有检测到重复的聚合。
* 这可能会导致一些过高估算的成本，这对于我们的目的来说是好的，因为所有的Path都会耗费相同的成本。
* 但在某些时候，可能希望在计划器中进行检测，而不是在执行器executor启动期间。
*/
MemSet(&agg_costs, 0, sizeof(AggClauseCosts));
if (parse->hasAggs)//存在聚合函数
{
get_agg_clause_costs(root, (Node *) tlist, AGGSPLIT_SIMPLE,
&agg_costs);//收集用于估算成本的统计信息
get_agg_clause_costs(root, parse->havingQual, AGGSPLIT_SIMPLE,
&agg_costs);//收集用于估算成本的统计信息
}
/*
* Locate any window functions in the tlist. (We don't need to look
* anywhere else, since expressions used in ORDER BY will be in there
* too.) Note that they could all have been eliminated by constant
* folding, in which case we don't need to do any more work.
* 在tlist中找到所有的窗口函数。
* (我们不需要在其他地方查找，因为ORDER BY中使用的表达式也在那里。)
* 注意，它们可以通过不断折叠来消除，在这种情况下，我们不需要做更多的工作。
*/
if (parse->hasWindowFuncs)//窗口函数
{
wflists = find_window_functions((Node *) tlist,
list_length(parse->windowClause));
if (wflists->numWindowFuncs > 0)
activeWindows = select_active_windows(root, wflists);
else
parse->hasWindowFuncs = false;
}
/*
* Preprocess MIN/MAX aggregates, if any. Note: be careful about
* adding logic between here and the query_planner() call. Anything
* that is needed in MIN/MAX-optimizable cases will have to be
* duplicated in planagg.c.
* 重新处理MAX/MIN聚集操作，如果有的话。
* 注意:在这里和query_planner()调用之间添加逻辑时要小心。
* 在MIN/MAX优化情况下需要的所有东西都必须在plan .c中重复。
*/
if (parse->hasAggs)//预处理最大最小聚合
preprocess_minmax_aggregates(root, tlist);
/*
* Figure out whether there's a hard limit on the number of rows that
* query_planner's result subplan needs to return. Even if we know a
* hard limit overall, it doesn't apply if the query has any
* grouping/aggregation operations, or SRFs in the tlist.
* 计算query_planner结果子计划需要返回的行数是否有硬性限制。
* 即使我们知道总的强制限制，如果查询在tlist中有任何分组/聚合操作或SRFs，它也不适用。
*/
if (parse->groupClause ||
parse->groupingSets ||
parse->distinctClause ||
parse->hasAggs ||
parse->hasWindowFuncs ||
parse->hasTargetSRFs ||
root->hasHavingQual)//存在Group By/Grouping Set等语句,则limit_tuples设置为-1
root->limit_tuples = -1.0;
else
root->limit_tuples = limit_tuples;//否则,正常赋值
/* Set up data needed by standard_qp_callback */
//配置standard_qp_callback函数需要的相关数据
qp_extra.tlist = tlist;//赋值
qp_extra.activeWindows = activeWindows;
qp_extra.groupClause = (gset_data
? (gset_data->rollups ? linitial_node(RollupData, gset_data->rollups)->groupClause : NIL)
: parse->groupClause);
/*
* Generate the best unsorted and presorted paths for the scan/join
* portion of this Query, ie the processing represented by the
* FROM/WHERE clauses. (Note there may not be any presorted paths.)
* We also generate (in standard_qp_callback) pathkey representations
* of the query's sort clause, distinct clause, etc.
* 为这个查询的扫描/连接部分(即FROM/WHERE子句表示的处理)生成最好的未排序和预排序路径。
* (注意，可能没有任何预先设置的路径。)
* 我们还生成(在standard_qp_callback中)查询语句的sort子句和distinct子句对应的PathKey。
*/
//为查询中的扫描/连接部分生成最优的未排序/预排序路径(如FROM/WHERE语句表示的处理过程)
current_rel = query_planner(root, tlist,
standard_qp_callback, &qp_extra);
/*
* Convert the query's result tlist into PathTarget format.
* 转换查询结果为PathTarget格式
*
* Note: it's desirable to not do this till after query_planner(),
* because the target width estimates can use per-Var width numbers
* that were obtained within query_planner().
* 注意:在query_planner()之后才需要这样做，因为目标列的宽度估算可以使用在query_planner()中获得的每个VAR信息。
*/
final_target = create_pathtarget(root, tlist);
final_target_parallel_safe =
is_parallel_safe(root, (Node *) final_target->exprs);
/*
* If ORDER BY was given, consider whether we should use a post-sort
* projection, and compute the adjusted target for preceding steps if
* so.
* 如果存在ORDER BY子句，考虑是否使用post-sort投影，如使用则计算前面已调整过的步骤目标列。
*/
if (parse->sortClause)//存在sort语句?
{
sort_input_target = make_sort_input_target(root,
final_target,
&have_postponed_srfs);
sort_input_target_parallel_safe =
is_parallel_safe(root, (Node *) sort_input_target->exprs);
}
else
{
sort_input_target = final_target;//不存在,则直接赋值
sort_input_target_parallel_safe = final_target_parallel_safe;
}
/*
* If we have window functions to deal with, the output from any
* grouping step needs to be what the window functions want;
* otherwise, it should be sort_input_target.
* 如果要处理窗口函数，任何分组步骤的输出都需要满足窗口函数的要求;
* 否则，它应该是sort_input_target。
*/
if (activeWindows)//存在窗口函数?
{
grouping_target = make_window_input_target(root,
final_target,
activeWindows);
grouping_target_parallel_safe =
is_parallel_safe(root, (Node *) grouping_target->exprs);
}
else
{
grouping_target = sort_input_target;
grouping_target_parallel_safe = sort_input_target_parallel_safe;
}
/*
* If we have grouping or aggregation to do, the topmost scan/join
* plan node must emit what the grouping step wants; otherwise, it
* should emit grouping_target.
* 如果要进行分组或聚合，最外层的扫描/连接计划节点必须发出分组步骤需要的内容;
* 否则，它应该设置grouping_target。
*/
have_grouping = (parse->groupClause || parse->groupingSets ||
parse->hasAggs || root->hasHavingQual);
if (have_grouping)
{//存在group等分组语句
scanjoin_target = make_group_input_target(root, final_target);
scanjoin_target_parallel_safe =
is_parallel_safe(root, (Node *) grouping_target->exprs);
}
else
{
scanjoin_target = grouping_target;
scanjoin_target_parallel_safe = grouping_target_parallel_safe;
}
/*
* If there are any SRFs in the targetlist, we must separate each of
* these PathTargets into SRF-computing and SRF-free targets. Replace
* each of the named targets with a SRF-free version, and remember the
* list of additional projection steps we need to add afterwards.
* 如果targetlist中有任何SRFs，我们必须将这些PathKeys分别划分为SRF-computing和SRF-free 目标列。
* 用一个没有SRF的版本替换每个指定的目标，并记住后面需要添加的其他投影步骤链表。
*/
if (parse->hasTargetSRFs)//存在SRFs
{
/* final_target doesn't recompute any SRFs in sort_input_target */
//在sort_input_target中不需要重复计算SRFs
split_pathtarget_at_srfs(root, final_target, sort_input_target,
&final_targets,
&final_targets_contain_srfs);
final_target = linitial_node(PathTarget, final_targets);
Assert(!linitial_int(final_targets_contain_srfs));
/* likewise for sort_input_target vs. grouping_target */
split_pathtarget_at_srfs(root, sort_input_target, grouping_target,
&sort_input_targets,
&sort_input_targets_contain_srfs);
sort_input_target = linitial_node(PathTarget, sort_input_targets);
Assert(!linitial_int(sort_input_targets_contain_srfs));
/* likewise for grouping_target vs. scanjoin_target */
split_pathtarget_at_srfs(root, grouping_target, scanjoin_target,
&grouping_targets,
&grouping_targets_contain_srfs);
grouping_target = linitial_node(PathTarget, grouping_targets);
Assert(!linitial_int(grouping_targets_contain_srfs));
/* scanjoin_target will not have any SRFs precomputed for it */
split_pathtarget_at_srfs(root, scanjoin_target, NULL,
&scanjoin_targets,
&scanjoin_targets_contain_srfs);
scanjoin_target = linitial_node(PathTarget, scanjoin_targets);
Assert(!linitial_int(scanjoin_targets_contain_srfs));
}
else
{
/* initialize lists; for most of these, dummy values are OK */
//初始化链表
final_targets = final_targets_contain_srfs = NIL;
sort_input_targets = sort_input_targets_contain_srfs = NIL;
grouping_targets = grouping_targets_contain_srfs = NIL;
scanjoin_targets = list_make1(scanjoin_target);
scanjoin_targets_contain_srfs = NIL;
}
/* Apply scan/join target. */
//应用扫描/连接target
scanjoin_target_same_exprs = list_length(scanjoin_targets) == 1
&& equal(scanjoin_target->exprs, current_rel->reltarget->exprs);
apply_scanjoin_target_to_paths(root, current_rel, scanjoin_targets,
scanjoin_targets_contain_srfs,
scanjoin_target_parallel_safe,
scanjoin_target_same_exprs);
/*
* Save the various upper-rel PathTargets we just computed into
* root->upper_targets[]. The core code doesn't use this, but it
* provides a convenient place for extensions to get at the info. For
* consistency, we save all the intermediate targets, even though some
* of the corresponding upperrels might not be needed for this query.
* 保存刚刚计算的各种upper- >upper_targets[]信息。
* 核心代码不使用这个功能，但是它为扩展提供了一个方便的地方来获取信息。
* 为了保持一致性，我们保存了所有的中间目标列，即使这个查询可能不需要一些相应的上层关系。
*/
//赋值
root->upper_targets[UPPERREL_FINAL] = final_target;
root->upper_targets[UPPERREL_WINDOW] = sort_input_target;
root->upper_targets[UPPERREL_GROUP_AGG] = grouping_target;
/*
* If we have grouping and/or aggregation, consider ways to implement
* that. We build a new upperrel representing the output of this
* phase.
* 如果我们有分组和/或聚合，考虑如何实现它。需要构建一个表示此阶段输出的上层关系。
*/
if (have_grouping)//存在分组操作
{
current_rel = create_grouping_paths(root,
current_rel,
grouping_target,
grouping_target_parallel_safe,
&agg_costs,
gset_data);//创建分组访问路径
/* Fix things up if grouping_target contains SRFs */
if (parse->hasTargetSRFs)
adjust_paths_for_srfs(root, current_rel,
grouping_targets,
grouping_targets_contain_srfs);
}
/*
* If we have window functions, consider ways to implement those. We
* build a new upperrel representing the output of this phase.
* 如果有窗口函数，考虑如何实现这些函数。
* 我们建立一个新的上层关系表示这个阶段的输出。
*/
if (activeWindows)//存在窗口函数
{
current_rel = create_window_paths(root,
current_rel,
grouping_target,
sort_input_target,
sort_input_target_parallel_safe,
tlist,
wflists,
activeWindows);
/* Fix things up if sort_input_target contains SRFs */
if (parse->hasTargetSRFs)
adjust_paths_for_srfs(root, current_rel,
sort_input_targets,
sort_input_targets_contain_srfs);
}
/*
* If there is a DISTINCT clause, consider ways to implement that. We
* build a new upperrel representing the output of this phase.
* 如果有一个DISTINCT子句，考虑如何实现它。构建一个表示此阶段输出的上层关系。
*/
if (parse->distinctClause)//存在distinct?
{
current_rel = create_distinct_paths(root,
current_rel);
}
} /* end of if (setOperations) */
/*
* If ORDER BY was given, consider ways to implement that, and generate a
* new upperrel containing only paths that emit the correct ordering and
* project the correct final_target. We can apply the original
* limit_tuples limit in sort costing here, but only if there are no
* postponed SRFs.
* 如果指定了ORDER BY，考虑实现它的方法，并生成一个仅包含ORDER和final_target的Path的上层关系。
* 我们可以在排序成本中应用初始的limit_tuples限制，但前提是没有延迟的SRFs。
*/
if (parse->sortClause)//存在sort语句?
{
current_rel = create_ordered_paths(root,
current_rel,
final_target,
final_target_parallel_safe,
have_postponed_srfs ? -1.0 :
limit_tuples);
/* Fix things up if final_target contains SRFs */
if (parse->hasTargetSRFs)
adjust_paths_for_srfs(root, current_rel,
final_targets,
final_targets_contain_srfs);
}
/*
* Now we are prepared to build the final-output upperrel.
* 可以构建最终的关系了!
*/
final_rel = fetch_upper_rel(root, UPPERREL_FINAL, NULL);//获取最终的RelOptInfo(用于替换RTE)
/*
* If the input rel is marked consider_parallel and there's nothing that's
* not parallel-safe in the LIMIT clause, then the final_rel can be marked
* consider_parallel as well. Note that if the query has rowMarks or is
* not a SELECT, consider_parallel will be false for every relation in the
* query.
* 如果关系被标记为consider_parallel，并且在LIMIT子句中没有任何非并行安全的地方，
* 那么final_rel也可以被标记为consider_parallel。
* 请注意，如果查询有rowMarks或不是SELECT语句，则认为对查询中的每个关系consider_parallel都为false。
*/
if (current_rel->consider_parallel &&
is_parallel_safe(root, parse->limitOffset) &&
is_parallel_safe(root, parse->limitCount))
final_rel->consider_parallel = true;//并行
/*
* If the current_rel belongs to a single FDW, so does the final_rel.
* 如current_rel属于某个单独的FDW,设置final_rel信息
*/
final_rel->serverid = current_rel->serverid;
final_rel->userid = current_rel->userid;
final_rel->useridiscurrent = current_rel->useridiscurrent;
final_rel->fdwroutine = current_rel->fdwroutine;
/*
* Generate paths for the final_rel. Insert all surviving paths, with
* LockRows, Limit, and/or ModifyTable steps added if needed.
* 为final_rel生成访问路径.
* 插入所有筛选后的访问路径,包含需添加的LockRows/Limit/ModifyTable步骤
*/
foreach(lc, current_rel->pathlist)//逐一遍历访问路径
{
Path *path = (Path *) lfirst(lc);
/*
* If there is a FOR [KEY] UPDATE/SHARE clause, add the LockRows node.
* (Note: we intentionally test parse->rowMarks not root->rowMarks
* here. If there are only non-locking rowmarks, they should be
* handled by the ModifyTable node instead. However, root->rowMarks
* is what goes into the LockRows node.)
* 如果存在FOR [KEY] UPDATE/SHARE子句，则添加LockRows节点。
* (注意:我们在这里有意测试的是parse->rowMarks，而不是root->rowMarks。
* 如果只有非锁定行标记，则应该由ModifyTable节点处理。
* 但是，root->rowMarks是进入LockRows节点的行标记。
*/
if (parse->rowMarks)
{
path = (Path *) create_lockrows_path(root, final_rel, path,
root->rowMarks,
SS_assign_special_param(root));
}
/*
* If there is a LIMIT/OFFSET clause, add the LIMIT node.
* 如果存在LIMIT/OFFSET子句,添加LIMIT节点
*/
if (limit_needed(parse))
{
path = (Path *) create_limit_path(root, final_rel, path,
parse->limitOffset,
parse->limitCount,
offset_est, count_est);
}
/*
* If this is an INSERT/UPDATE/DELETE, and we're not being called from
* inheritance_planner, add the ModifyTable node.
* 如为INSERT/UPDATE/DELETE,而且不是从inheritance_planner函数中调用,则添加ModifyTable节点
*/
if (parse->commandType != CMD_SELECT && !inheritance_update)//非查询语句
{
List *withCheckOptionLists;
List *returningLists;
List *rowMarks;
/*
* Set up the WITH CHECK OPTION and RETURNING lists-of-lists, if
* needed.
* 如需要,添加WITH CHECK OPTION and RETURNING信息
*/
if (parse->withCheckOptions)
withCheckOptionLists = list_make1(parse->withCheckOptions);
else
withCheckOptionLists = NIL;
if (parse->returningList)
returningLists = list_make1(parse->returningList);
else
returningLists = NIL;
/*
* If there was a FOR [KEY] UPDATE/SHARE clause, the LockRows node
* will have dealt with fetching non-locked marked rows, else we
* need to have ModifyTable do that.
* 如果存在FOR [KEY] UPDATE/SHARE子句，那么LockRows节点将处理获取非带锁标记的行，
* 否则我们需要使用ModifyTable来完成。
*/
if (parse->rowMarks)
rowMarks = NIL;
else
rowMarks = root->rowMarks;
path = (Path *)
create_modifytable_path(root, final_rel,
parse->commandType,
parse->canSetTag,
parse->resultRelation,
NIL,
false,
list_make1_int(parse->resultRelation),
list_make1(path),
list_make1(root),
withCheckOptionLists,
returningLists,
rowMarks,
parse->onConflict,
SS_assign_special_param(root));
}
/* And shove it into final_rel */
//添加到final_rel中
add_path(final_rel, path);
}
/*
* Generate partial paths for final_rel, too,xxwssssssssssssssssss if outer query levels might
* be able to make use of them.
* 并行执行访问路径
*/
if (final_rel->consider_parallel && root->query_level > 1 &&
!limit_needed(parse))
{
Assert(!parse->rowMarks && parse->commandType == CMD_SELECT);
foreach(lc, current_rel->partial_pathlist)
{
Path *partial_path = (Path *) lfirst(lc);
add_partial_path(final_rel, partial_path);
}
}
/*
* If there is an FDW that's responsible for all baserels of the query,
* let it consider adding ForeignPaths.
* 如查询中存在FDW,添加ForeignPaths
*/
if (final_rel->fdwroutine &&
final_rel->fdwroutine->GetForeignUpperPaths)
final_rel->fdwroutine->GetForeignUpperPaths(root, UPPERREL_FINAL,
current_rel, final_rel,
NULL);
/* Let extensions possibly add some more paths */
//通过扩展添加访问路径
if (create_upper_paths_hook)
(*create_upper_paths_hook) (root, UPPERREL_FINAL,
current_rel, final_rel, NULL);
/* Note: currently, we leave it to callers to do set_cheapest() */
//注意:目前的做法是让调用放来执行set_cheap()函数
}到此，关于“PostgreSQL中grouping_planner函数有什么作用”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注亿速云网站，小编会继续努力为大家带来更多实用的文章！
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