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Implement Incremental Sort

Incremental Sort is an optimized variant of multikey sort for cases when
the input is already sorted by a prefix of the requested sort keys. For
example when the relation is already sorted by (key1, key2) and we need
to sort it by (key1, key2, key3) we can simply split the input rows into
groups having equal values in (key1, key2), and only sort/compare the
remaining column key3.

This has a number of benefits:

- Reduced memory consumption, because only a single group (determined by
  values in the sorted prefix) needs to be kept in memory. This may also
  eliminate the need to spill to disk.

- Lower startup cost, because Incremental Sort produce results after each
  prefix group, which is beneficial for plans where startup cost matters
  (like for example queries with LIMIT clause).

We consider both Sort and Incremental Sort, and decide based on costing.

The implemented algorithm operates in two different modes:

- Fetching a minimum number of tuples without check of equality on the
  prefix keys, and sorting on all columns when safe.

- Fetching all tuples for a single prefix group and then sorting by
  comparing only the remaining (non-prefix) keys.

We always start in the first mode, and employ a heuristic to switch into
the second mode if we believe it's beneficial - the goal is to minimize
the number of unnecessary comparions while keeping memory consumption
below work_mem.

This is a very old patch series. The idea was originally proposed by
Alexander Korotkov back in 2013, and then revived in 2017. In 2018 the
patch was taken over by James Coleman, who wrote and rewrote most of the
current code.

There were many reviewers/contributors since 2013 - I've done my best to
pick the most active ones, and listed them in this commit message.

Author: James Coleman, Alexander Korotkov
Reviewed-by: Tomas Vondra, Andreas Karlsson, Marti Raudsepp, Peter Geoghegan, Robert Haas, Thomas Munro, Antonin Houska, Andres Freund, Alexander Kuzmenkov
Discussion: https://postgr.es/m/CAPpHfdscOX5an71nHd8WSUH6GNOCf=V7wgDaTXdDd9=goN-gfA@mail.gmail.com
Discussion: https://postgr.es/m/CAPpHfds1waRZ=NOmueYq0sx1ZSCnt+5QJvizT8ndT2=etZEeAQ@mail.gmail.com
This commit is contained in:
Tomas Vondra
2020-04-06 21:33:28 +02:00
parent 3c8553547b
commit d2d8a229bc
41 changed files with 4244 additions and 160 deletions

View File

@@ -61,14 +61,17 @@ typedef struct SortCoordinateData *SortCoordinate;
* Data structures for reporting sort statistics. Note that
* TuplesortInstrumentation can't contain any pointers because we
* sometimes put it in shared memory.
*
* TuplesortMethod is used in a bitmask in Increment Sort's shared memory
* instrumentation so needs to have each value be a separate bit.
*/
typedef enum
{
SORT_TYPE_STILL_IN_PROGRESS = 0,
SORT_TYPE_TOP_N_HEAPSORT,
SORT_TYPE_QUICKSORT,
SORT_TYPE_EXTERNAL_SORT,
SORT_TYPE_EXTERNAL_MERGE
SORT_TYPE_STILL_IN_PROGRESS = 1 << 0,
SORT_TYPE_TOP_N_HEAPSORT = 1 << 1,
SORT_TYPE_QUICKSORT = 1 << 2,
SORT_TYPE_EXTERNAL_SORT = 1 << 3,
SORT_TYPE_EXTERNAL_MERGE = 1 << 4
} TuplesortMethod;
typedef enum
@@ -215,6 +218,7 @@ extern Tuplesortstate *tuplesort_begin_datum(Oid datumType,
bool randomAccess);
extern void tuplesort_set_bound(Tuplesortstate *state, int64 bound);
extern bool tuplesort_used_bound(Tuplesortstate *state);
extern void tuplesort_puttupleslot(Tuplesortstate *state,
TupleTableSlot *slot);
@@ -239,6 +243,8 @@ extern bool tuplesort_skiptuples(Tuplesortstate *state, int64 ntuples,
extern void tuplesort_end(Tuplesortstate *state);
extern void tuplesort_reset(Tuplesortstate *state);
extern void tuplesort_get_stats(Tuplesortstate *state,
TuplesortInstrumentation *stats);
extern const char *tuplesort_method_name(TuplesortMethod m);