Hi hackers,

I have a question about `use_physical_tlist()` which is applied in 
`create_scan_plan()`:
```
if (flags == CP_IGNORE_TLIST)
{
  tlist = NULL;
}
else if (use_physical_tlist(root, best_path, flags))
{
  if (best_path->pathtype == T_IndexOnlyScan)
  {
    /* For index-only scan, the preferred tlist is the index's */
    tlist = copyObject(((IndexPath *) best_path)->indexinfo->indextlist);

    /*
     * Transfer sortgroupref data to the replacement tlist, if
     * requested (use_physical_tlist checked that this will work).
     */
    if (flags & CP_LABEL_TLIST)
      apply_pathtarget_labeling_to_tlist(tlist, best_path->pathtarget);
  }
  else
  {
tlist = build_physical_tlist(root, rel);
……
```
And the comment above the code block says:

```
/*
* For table scans, rather than using the relation targetlist (which is
* only those Vars actually needed by the query), we prefer to generate a
* tlist containing all Vars in order.  This will allow the executor to
* optimize away projection of the table tuples, if possible.
*
* But if the caller is going to ignore our tlist anyway, then don't
* bother generating one at all.  We use an exact equality test here, so
* that this only applies when CP_IGNORE_TLIST is the only flag set.
*/
```

But for some column-oriented database based on Postgres, it may help a lot in 
case of projection of the table tuples in execution? And is there any other 
optimization considerations behind this design?

e.g. If we have such table definition and a query:

```
CREATE TABLE partsupp
(PS_PARTKEY INT,
PS_SUPPKEY INT,
PS_AVAILQTY INTEGER,
PS_SUPPLYCOST DECIMAL(15,2),
PS_COMMENT VARCHAR(199),
dummy text);

explain analyze verbose select sum(ps_supplycost * ps_availqty) from partsupp;
```

And the planner would give such plan:

```
                                                    QUERY PLAN
-------------------------------------------------------------------------------------------------------------------
Aggregate  (cost=12.80..12.81 rows=1 width=32) (actual time=0.013..0.015 rows=1 
loops=1)
   Output: sum((ps_supplycost * (ps_availqty)::numeric))
   ->  Seq Scan on public.partsupp  (cost=0.00..11.60 rows=160 width=22) 
(actual time=0.005..0.005 rows=0 loops=1)
         Output: ps_partkey, ps_suppkey, ps_availqty, ps_supplycost, 
ps_comment, dummy
Planning Time: 0.408 ms
Execution Time: 0.058 ms
(6 rows)
```
It looks the columns besides `ps_supplycost` and `ps_availqty` are not 
necessary, but fetched from tuples all at once. For the row-based storage such 
as heap, it looks fine, but for column-based storage, it would result into 
unnecessary overhead and impact performance. Is there any plan to optimize here?

Thanks.

Reply via email to