postgresql/src/backend/access/nbtree/nbtsplitloc.c

1191 lines
42 KiB
C

/*-------------------------------------------------------------------------
*
* nbtsplitloc.c
* Choose split point code for Postgres btree implementation.
*
* Portions Copyright (c) 1996-2020, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
*
* IDENTIFICATION
* src/backend/access/nbtree/nbtsplitloc.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "access/nbtree.h"
#include "storage/lmgr.h"
typedef enum
{
/* strategy for searching through materialized list of split points */
SPLIT_DEFAULT, /* give some weight to truncation */
SPLIT_MANY_DUPLICATES, /* find minimally distinguishing point */
SPLIT_SINGLE_VALUE /* leave left page almost full */
} FindSplitStrat;
typedef struct
{
/* details of free space left by split */
int16 curdelta; /* current leftfree/rightfree delta */
int16 leftfree; /* space left on left page post-split */
int16 rightfree; /* space left on right page post-split */
/* split point identifying fields (returned by _bt_findsplitloc) */
OffsetNumber firstrightoff; /* first origpage item on rightpage */
bool newitemonleft; /* new item goes on left, or right? */
} SplitPoint;
typedef struct
{
/* context data for _bt_recsplitloc */
Relation rel; /* index relation */
Page origpage; /* page undergoing split */
IndexTuple newitem; /* new item (cause of page split) */
Size newitemsz; /* size of newitem (includes line pointer) */
bool is_leaf; /* T if splitting a leaf page */
bool is_rightmost; /* T if splitting rightmost page on level */
OffsetNumber newitemoff; /* where the new item is to be inserted */
int leftspace; /* space available for items on left page */
int rightspace; /* space available for items on right page */
int olddataitemstotal; /* space taken by old items */
Size minfirstrightsz; /* smallest firstright size */
/* candidate split point data */
int maxsplits; /* maximum number of splits */
int nsplits; /* current number of splits */
SplitPoint *splits; /* all candidate split points for page */
int interval; /* current range of acceptable split points */
} FindSplitData;
static void _bt_recsplitloc(FindSplitData *state,
OffsetNumber firstrightoff, bool newitemonleft,
int olddataitemstoleft,
Size firstrightofforigpagetuplesz);
static void _bt_deltasortsplits(FindSplitData *state, double fillfactormult,
bool usemult);
static int _bt_splitcmp(const void *arg1, const void *arg2);
static bool _bt_afternewitemoff(FindSplitData *state, OffsetNumber maxoff,
int leaffillfactor, bool *usemult);
static bool _bt_adjacenthtid(ItemPointer lowhtid, ItemPointer highhtid);
static OffsetNumber _bt_bestsplitloc(FindSplitData *state, int perfectpenalty,
bool *newitemonleft, FindSplitStrat strategy);
static int _bt_defaultinterval(FindSplitData *state);
static int _bt_strategy(FindSplitData *state, SplitPoint *leftpage,
SplitPoint *rightpage, FindSplitStrat *strategy);
static void _bt_interval_edges(FindSplitData *state,
SplitPoint **leftinterval, SplitPoint **rightinterval);
static inline int _bt_split_penalty(FindSplitData *state, SplitPoint *split);
static inline IndexTuple _bt_split_lastleft(FindSplitData *state,
SplitPoint *split);
static inline IndexTuple _bt_split_firstright(FindSplitData *state,
SplitPoint *split);
/*
* _bt_findsplitloc() -- find an appropriate place to split a page.
*
* The main goal here is to equalize the free space that will be on each
* split page, *after accounting for the inserted tuple*. (If we fail to
* account for it, we might find ourselves with too little room on the page
* that it needs to go into!)
*
* If the page is the rightmost page on its level, we instead try to arrange
* to leave the left split page fillfactor% full. In this way, when we are
* inserting successively increasing keys (consider sequences, timestamps,
* etc) we will end up with a tree whose pages are about fillfactor% full,
* instead of the 50% full result that we'd get without this special case.
* This is the same as nbtsort.c produces for a newly-created tree. Note
* that leaf and nonleaf pages use different fillfactors. Note also that
* there are a number of further special cases where fillfactor is not
* applied in the standard way.
*
* We are passed the intended insert position of the new tuple, expressed as
* the offsetnumber of the tuple it must go in front of (this could be
* maxoff+1 if the tuple is to go at the end). The new tuple itself is also
* passed, since it's needed to give some weight to how effective suffix
* truncation will be. The implementation picks the split point that
* maximizes the effectiveness of suffix truncation from a small list of
* alternative candidate split points that leave each side of the split with
* about the same share of free space. Suffix truncation is secondary to
* equalizing free space, except in cases with large numbers of duplicates.
* Note that it is always assumed that caller goes on to perform truncation,
* even with pg_upgrade'd indexes where that isn't actually the case
* (!heapkeyspace indexes). See nbtree/README for more information about
* suffix truncation.
*
* We return the index of the first existing tuple that should go on the
* righthand page (which is called firstrightoff), plus a boolean
* indicating whether the new tuple goes on the left or right page. You
* can think of the returned state as a point _between_ two adjacent data
* items (laftleft and firstright data items) on an imaginary version of
* origpage that already includes newitem. The bool is necessary to
* disambiguate the case where firstrightoff == newitemoff (i.e. it is
* sometimes needed to determine if the firstright tuple for the split is
* newitem rather than the tuple from origpage at offset firstrightoff).
*/
OffsetNumber
_bt_findsplitloc(Relation rel,
Page origpage,
OffsetNumber newitemoff,
Size newitemsz,
IndexTuple newitem,
bool *newitemonleft)
{
BTPageOpaque opaque;
int leftspace,
rightspace,
olddataitemstotal,
olddataitemstoleft,
perfectpenalty,
leaffillfactor;
FindSplitData state;
FindSplitStrat strategy;
ItemId itemid;
OffsetNumber offnum,
maxoff,
firstrightoff;
double fillfactormult;
bool usemult;
SplitPoint leftpage,
rightpage;
opaque = (BTPageOpaque) PageGetSpecialPointer(origpage);
maxoff = PageGetMaxOffsetNumber(origpage);
/* Total free space available on a btree page, after fixed overhead */
leftspace = rightspace =
PageGetPageSize(origpage) - SizeOfPageHeaderData -
MAXALIGN(sizeof(BTPageOpaqueData));
/* The right page will have the same high key as the old page */
if (!P_RIGHTMOST(opaque))
{
itemid = PageGetItemId(origpage, P_HIKEY);
rightspace -= (int) (MAXALIGN(ItemIdGetLength(itemid)) +
sizeof(ItemIdData));
}
/* Count up total space in data items before actually scanning 'em */
olddataitemstotal = rightspace - (int) PageGetExactFreeSpace(origpage);
leaffillfactor = BTGetFillFactor(rel);
/* Passed-in newitemsz is MAXALIGNED but does not include line pointer */
newitemsz += sizeof(ItemIdData);
state.rel = rel;
state.origpage = origpage;
state.newitem = newitem;
state.newitemsz = newitemsz;
state.is_leaf = P_ISLEAF(opaque);
state.is_rightmost = P_RIGHTMOST(opaque);
state.leftspace = leftspace;
state.rightspace = rightspace;
state.olddataitemstotal = olddataitemstotal;
state.minfirstrightsz = SIZE_MAX;
state.newitemoff = newitemoff;
/* newitem cannot be a posting list item */
Assert(!BTreeTupleIsPosting(newitem));
/*
* nsplits should never exceed maxoff because there will be at most as
* many candidate split points as there are points _between_ tuples, once
* you imagine that the new item is already on the original page (the
* final number of splits may be slightly lower because not all points
* between tuples will be legal).
*/
state.maxsplits = maxoff;
state.splits = palloc(sizeof(SplitPoint) * state.maxsplits);
state.nsplits = 0;
/*
* Scan through the data items and calculate space usage for a split at
* each possible position
*/
olddataitemstoleft = 0;
for (offnum = P_FIRSTDATAKEY(opaque);
offnum <= maxoff;
offnum = OffsetNumberNext(offnum))
{
Size itemsz;
itemid = PageGetItemId(origpage, offnum);
itemsz = MAXALIGN(ItemIdGetLength(itemid)) + sizeof(ItemIdData);
/*
* When item offset number is not newitemoff, neither side of the
* split can be newitem. Record a split after the previous data item
* from original page, but before the current data item from original
* page. (_bt_recsplitloc() will reject the split when there are no
* previous items, which we rely on.)
*/
if (offnum < newitemoff)
_bt_recsplitloc(&state, offnum, false, olddataitemstoleft, itemsz);
else if (offnum > newitemoff)
_bt_recsplitloc(&state, offnum, true, olddataitemstoleft, itemsz);
else
{
/*
* Record a split after all "offnum < newitemoff" original page
* data items, but before newitem
*/
_bt_recsplitloc(&state, offnum, false, olddataitemstoleft, itemsz);
/*
* Record a split after newitem, but before data item from
* original page at offset newitemoff/current offset
*/
_bt_recsplitloc(&state, offnum, true, olddataitemstoleft, itemsz);
}
olddataitemstoleft += itemsz;
}
/*
* Record a split after all original page data items, but before newitem.
* (Though only when it's possible that newitem will end up alone on new
* right page.)
*/
Assert(olddataitemstoleft == olddataitemstotal);
if (newitemoff > maxoff)
_bt_recsplitloc(&state, newitemoff, false, olddataitemstotal, 0);
/*
* I believe it is not possible to fail to find a feasible split, but just
* in case ...
*/
if (state.nsplits == 0)
elog(ERROR, "could not find a feasible split point for index \"%s\"",
RelationGetRelationName(rel));
/*
* Start search for a split point among list of legal split points. Give
* primary consideration to equalizing available free space in each half
* of the split initially (start with default strategy), while applying
* rightmost and split-after-new-item optimizations where appropriate.
* Either of the two other fallback strategies may be required for cases
* with a large number of duplicates around the original/space-optimal
* split point.
*
* Default strategy gives some weight to suffix truncation in deciding a
* split point on leaf pages. It attempts to select a split point where a
* distinguishing attribute appears earlier in the new high key for the
* left side of the split, in order to maximize the number of trailing
* attributes that can be truncated away. Only candidate split points
* that imply an acceptable balance of free space on each side are
* considered. See _bt_defaultinterval().
*/
if (!state.is_leaf)
{
/* fillfactormult only used on rightmost page */
usemult = state.is_rightmost;
fillfactormult = BTREE_NONLEAF_FILLFACTOR / 100.0;
}
else if (state.is_rightmost)
{
/* Rightmost leaf page -- fillfactormult always used */
usemult = true;
fillfactormult = leaffillfactor / 100.0;
}
else if (_bt_afternewitemoff(&state, maxoff, leaffillfactor, &usemult))
{
/*
* New item inserted at rightmost point among a localized grouping on
* a leaf page -- apply "split after new item" optimization, either by
* applying leaf fillfactor multiplier, or by choosing the exact split
* point that leaves newitem as lastleft. (usemult is set for us.)
*/
if (usemult)
{
/* fillfactormult should be set based on leaf fillfactor */
fillfactormult = leaffillfactor / 100.0;
}
else
{
/* find precise split point after newitemoff */
for (int i = 0; i < state.nsplits; i++)
{
SplitPoint *split = state.splits + i;
if (split->newitemonleft &&
newitemoff == split->firstrightoff)
{
pfree(state.splits);
*newitemonleft = true;
return newitemoff;
}
}
/*
* Cannot legally split after newitemoff; proceed with split
* without using fillfactor multiplier. This is defensive, and
* should never be needed in practice.
*/
fillfactormult = 0.50;
}
}
else
{
/* Other leaf page. 50:50 page split. */
usemult = false;
/* fillfactormult not used, but be tidy */
fillfactormult = 0.50;
}
/*
* Save leftmost and rightmost splits for page before original ordinal
* sort order is lost by delta/fillfactormult sort
*/
leftpage = state.splits[0];
rightpage = state.splits[state.nsplits - 1];
/* Give split points a fillfactormult-wise delta, and sort on deltas */
_bt_deltasortsplits(&state, fillfactormult, usemult);
/* Determine split interval for default strategy */
state.interval = _bt_defaultinterval(&state);
/*
* Determine if default strategy/split interval will produce a
* sufficiently distinguishing split, or if we should change strategies.
* Alternative strategies change the range of split points that are
* considered acceptable (split interval), and possibly change
* fillfactormult, in order to deal with pages with a large number of
* duplicates gracefully.
*
* Pass low and high splits for the entire page (actually, they're for an
* imaginary version of the page that includes newitem). These are used
* when the initial split interval encloses split points that are full of
* duplicates, and we need to consider if it's even possible to avoid
* appending a heap TID.
*/
perfectpenalty = _bt_strategy(&state, &leftpage, &rightpage, &strategy);
if (strategy == SPLIT_DEFAULT)
{
/*
* Default strategy worked out (always works out with internal page).
* Original split interval still stands.
*/
}
/*
* Many duplicates strategy is used when a heap TID would otherwise be
* appended, but the page isn't completely full of logical duplicates.
*
* The split interval is widened to include all legal candidate split
* points. There might be a few as two distinct values in the whole-page
* split interval, though it's also possible that most of the values on
* the page are unique. The final split point will either be to the
* immediate left or to the immediate right of the group of duplicate
* tuples that enclose the first/delta-optimal split point (perfect
* penalty was set so that the lowest delta split point that avoids
* appending a heap TID will be chosen). Maximizing the number of
* attributes that can be truncated away is not a goal of the many
* duplicates strategy.
*
* Single value strategy is used when it is impossible to avoid appending
* a heap TID. It arranges to leave the left page very full. This
* maximizes space utilization in cases where tuples with the same
* attribute values span many pages. Newly inserted duplicates will tend
* to have higher heap TID values, so we'll end up splitting to the right
* consistently. (Single value strategy is harmless though not
* particularly useful with !heapkeyspace indexes.)
*/
else if (strategy == SPLIT_MANY_DUPLICATES)
{
Assert(state.is_leaf);
/* Shouldn't try to truncate away extra user attributes */
Assert(perfectpenalty ==
IndexRelationGetNumberOfKeyAttributes(state.rel));
/* No need to resort splits -- no change in fillfactormult/deltas */
state.interval = state.nsplits;
}
else if (strategy == SPLIT_SINGLE_VALUE)
{
Assert(state.is_leaf);
/* Split near the end of the page */
usemult = true;
fillfactormult = BTREE_SINGLEVAL_FILLFACTOR / 100.0;
/* Resort split points with new delta */
_bt_deltasortsplits(&state, fillfactormult, usemult);
/* Appending a heap TID is unavoidable, so interval of 1 is fine */
state.interval = 1;
}
/*
* Search among acceptable split points (using final split interval) for
* the entry that has the lowest penalty, and is therefore expected to
* maximize fan-out. Sets *newitemonleft for us.
*/
firstrightoff = _bt_bestsplitloc(&state, perfectpenalty, newitemonleft,
strategy);
pfree(state.splits);
return firstrightoff;
}
/*
* Subroutine to record a particular point between two tuples (possibly the
* new item) on page (ie, combination of firstrightoff and newitemonleft
* settings) in *state for later analysis. This is also a convenient point to
* check if the split is legal (if it isn't, it won't be recorded).
*
* firstrightoff is the offset of the first item on the original page that
* goes to the right page, and firstrightofforigpagetuplesz is the size of
* that tuple. firstrightoff can be > max offset, which means that all the
* old items go to the left page and only the new item goes to the right page.
* We don't actually use firstrightofforigpagetuplesz in that case (actually,
* we don't use it for _any_ split where the firstright tuple happens to be
* newitem).
*
* olddataitemstoleft is the total size of all old items to the left of the
* split point that is recorded here when legal. Should not include
* newitemsz, since that is handled here.
*/
static void
_bt_recsplitloc(FindSplitData *state,
OffsetNumber firstrightoff,
bool newitemonleft,
int olddataitemstoleft,
Size firstrightofforigpagetuplesz)
{
int16 leftfree,
rightfree;
Size firstrightsz;
Size postingsz = 0;
bool newitemisfirstright;
/* Is the new item going to be split point's firstright tuple? */
newitemisfirstright = (firstrightoff == state->newitemoff &&
!newitemonleft);
if (newitemisfirstright)
firstrightsz = state->newitemsz;
else
{
firstrightsz = firstrightofforigpagetuplesz;
/*
* Calculate suffix truncation space saving when firstright tuple is a
* posting list tuple, though only when the tuple is over 64 bytes
* including line pointer overhead (arbitrary). This avoids accessing
* the tuple in cases where its posting list must be very small (if
* tuple has one at all).
*
* Note: We don't do this in the case where firstright tuple is
* newitem, since newitem cannot have a posting list.
*/
if (state->is_leaf && firstrightsz > 64)
{
ItemId itemid;
IndexTuple newhighkey;
itemid = PageGetItemId(state->origpage, firstrightoff);
newhighkey = (IndexTuple) PageGetItem(state->origpage, itemid);
if (BTreeTupleIsPosting(newhighkey))
postingsz = IndexTupleSize(newhighkey) -
BTreeTupleGetPostingOffset(newhighkey);
}
}
/* Account for all the old tuples */
leftfree = state->leftspace - olddataitemstoleft;
rightfree = state->rightspace -
(state->olddataitemstotal - olddataitemstoleft);
/*
* The first item on the right page becomes the high key of the left page;
* therefore it counts against left space as well as right space (we
* cannot assume that suffix truncation will make it any smaller). When
* index has included attributes, then those attributes of left page high
* key will be truncated leaving that page with slightly more free space.
* However, that shouldn't affect our ability to find valid split
* location, since we err in the direction of being pessimistic about free
* space on the left half. Besides, even when suffix truncation of
* non-TID attributes occurs, the new high key often won't even be a
* single MAXALIGN() quantum smaller than the firstright tuple it's based
* on.
*
* If we are on the leaf level, assume that suffix truncation cannot avoid
* adding a heap TID to the left half's new high key when splitting at the
* leaf level. In practice the new high key will often be smaller and
* will rarely be larger, but conservatively assume the worst case. We do
* go to the trouble of subtracting away posting list overhead, though
* only when it looks like it will make an appreciable difference.
* (Posting lists are the only case where truncation will typically make
* the final high key far smaller than firstright, so being a bit more
* precise there noticeably improves the balance of free space.)
*/
if (state->is_leaf)
leftfree -= (int16) (firstrightsz +
MAXALIGN(sizeof(ItemPointerData)) -
postingsz);
else
leftfree -= (int16) firstrightsz;
/* account for the new item */
if (newitemonleft)
leftfree -= (int16) state->newitemsz;
else
rightfree -= (int16) state->newitemsz;
/*
* If we are not on the leaf level, we will be able to discard the key
* data from the first item that winds up on the right page.
*/
if (!state->is_leaf)
rightfree += (int16) firstrightsz -
(int16) (MAXALIGN(sizeof(IndexTupleData)) + sizeof(ItemIdData));
/* Record split if legal */
if (leftfree >= 0 && rightfree >= 0)
{
Assert(state->nsplits < state->maxsplits);
/* Determine smallest firstright tuple size among legal splits */
state->minfirstrightsz = Min(state->minfirstrightsz, firstrightsz);
state->splits[state->nsplits].curdelta = 0;
state->splits[state->nsplits].leftfree = leftfree;
state->splits[state->nsplits].rightfree = rightfree;
state->splits[state->nsplits].firstrightoff = firstrightoff;
state->splits[state->nsplits].newitemonleft = newitemonleft;
state->nsplits++;
}
}
/*
* Subroutine to assign space deltas to materialized array of candidate split
* points based on current fillfactor, and to sort array using that fillfactor
*/
static void
_bt_deltasortsplits(FindSplitData *state, double fillfactormult,
bool usemult)
{
for (int i = 0; i < state->nsplits; i++)
{
SplitPoint *split = state->splits + i;
int16 delta;
if (usemult)
delta = fillfactormult * split->leftfree -
(1.0 - fillfactormult) * split->rightfree;
else
delta = split->leftfree - split->rightfree;
if (delta < 0)
delta = -delta;
/* Save delta */
split->curdelta = delta;
}
qsort(state->splits, state->nsplits, sizeof(SplitPoint), _bt_splitcmp);
}
/*
* qsort-style comparator used by _bt_deltasortsplits()
*/
static int
_bt_splitcmp(const void *arg1, const void *arg2)
{
SplitPoint *split1 = (SplitPoint *) arg1;
SplitPoint *split2 = (SplitPoint *) arg2;
if (split1->curdelta > split2->curdelta)
return 1;
if (split1->curdelta < split2->curdelta)
return -1;
return 0;
}
/*
* Subroutine to determine whether or not a non-rightmost leaf page should be
* split immediately after the would-be original page offset for the
* new/incoming tuple (or should have leaf fillfactor applied when new item is
* to the right on original page). This is appropriate when there is a
* pattern of localized monotonically increasing insertions into a composite
* index, where leading attribute values form local groupings, and we
* anticipate further insertions of the same/current grouping (new item's
* grouping) in the near future. This can be thought of as a variation on
* applying leaf fillfactor during rightmost leaf page splits, since cases
* that benefit will converge on packing leaf pages leaffillfactor% full over
* time.
*
* We may leave extra free space remaining on the rightmost page of a "most
* significant column" grouping of tuples if that grouping never ends up
* having future insertions that use the free space. That effect is
* self-limiting; a future grouping that becomes the "nearest on the right"
* grouping of the affected grouping usually puts the extra free space to good
* use.
*
* Caller uses optimization when routine returns true, though the exact action
* taken by caller varies. Caller uses original leaf page fillfactor in
* standard way rather than using the new item offset directly when *usemult
* was also set to true here. Otherwise, caller applies optimization by
* locating the legal split point that makes the new tuple the lastleft tuple
* for the split.
*/
static bool
_bt_afternewitemoff(FindSplitData *state, OffsetNumber maxoff,
int leaffillfactor, bool *usemult)
{
int16 nkeyatts;
ItemId itemid;
IndexTuple tup;
int keepnatts;
Assert(state->is_leaf && !state->is_rightmost);
nkeyatts = IndexRelationGetNumberOfKeyAttributes(state->rel);
/* Single key indexes not considered here */
if (nkeyatts == 1)
return false;
/* Ascending insertion pattern never inferred when new item is first */
if (state->newitemoff == P_FIRSTKEY)
return false;
/*
* Only apply optimization on pages with equisized tuples, since ordinal
* keys are likely to be fixed-width. Testing if the new tuple is
* variable width directly might also work, but that fails to apply the
* optimization to indexes with a numeric_ops attribute.
*
* Conclude that page has equisized tuples when the new item is the same
* width as the smallest item observed during pass over page, and other
* non-pivot tuples must be the same width as well. (Note that the
* possibly-truncated existing high key isn't counted in
* olddataitemstotal, and must be subtracted from maxoff.)
*/
if (state->newitemsz != state->minfirstrightsz)
return false;
if (state->newitemsz * (maxoff - 1) != state->olddataitemstotal)
return false;
/*
* Avoid applying optimization when tuples are wider than a tuple
* consisting of two non-NULL int8/int64 attributes (or four non-NULL
* int4/int32 attributes)
*/
if (state->newitemsz >
MAXALIGN(sizeof(IndexTupleData) + sizeof(int64) * 2) +
sizeof(ItemIdData))
return false;
/*
* At least the first attribute's value must be equal to the corresponding
* value in previous tuple to apply optimization. New item cannot be a
* duplicate, either.
*
* Handle case where new item is to the right of all items on the existing
* page. This is suggestive of monotonically increasing insertions in
* itself, so the "heap TID adjacency" test is not applied here.
*/
if (state->newitemoff > maxoff)
{
itemid = PageGetItemId(state->origpage, maxoff);
tup = (IndexTuple) PageGetItem(state->origpage, itemid);
keepnatts = _bt_keep_natts_fast(state->rel, tup, state->newitem);
if (keepnatts > 1 && keepnatts <= nkeyatts)
{
*usemult = true;
return true;
}
return false;
}
/*
* "Low cardinality leading column, high cardinality suffix column"
* indexes with a random insertion pattern (e.g., an index with a boolean
* column, such as an index on '(book_is_in_print, book_isbn)') present us
* with a risk of consistently misapplying the optimization. We're
* willing to accept very occasional misapplication of the optimization,
* provided the cases where we get it wrong are rare and self-limiting.
*
* Heap TID adjacency strongly suggests that the item just to the left was
* inserted very recently, which limits overapplication of the
* optimization. Besides, all inappropriate cases triggered here will
* still split in the middle of the page on average.
*/
itemid = PageGetItemId(state->origpage, OffsetNumberPrev(state->newitemoff));
tup = (IndexTuple) PageGetItem(state->origpage, itemid);
/* Do cheaper test first */
if (BTreeTupleIsPosting(tup) ||
!_bt_adjacenthtid(&tup->t_tid, &state->newitem->t_tid))
return false;
/* Check same conditions as rightmost item case, too */
keepnatts = _bt_keep_natts_fast(state->rel, tup, state->newitem);
if (keepnatts > 1 && keepnatts <= nkeyatts)
{
double interp = (double) state->newitemoff / ((double) maxoff + 1);
double leaffillfactormult = (double) leaffillfactor / 100.0;
/*
* Don't allow caller to split after a new item when it will result in
* a split point to the right of the point that a leaf fillfactor
* split would use -- have caller apply leaf fillfactor instead
*/
*usemult = interp > leaffillfactormult;
return true;
}
return false;
}
/*
* Subroutine for determining if two heap TIDS are "adjacent".
*
* Adjacent means that the high TID is very likely to have been inserted into
* heap relation immediately after the low TID, probably during the current
* transaction.
*/
static bool
_bt_adjacenthtid(ItemPointer lowhtid, ItemPointer highhtid)
{
BlockNumber lowblk,
highblk;
lowblk = ItemPointerGetBlockNumber(lowhtid);
highblk = ItemPointerGetBlockNumber(highhtid);
/* Make optimistic assumption of adjacency when heap blocks match */
if (lowblk == highblk)
return true;
/* When heap block one up, second offset should be FirstOffsetNumber */
if (lowblk + 1 == highblk &&
ItemPointerGetOffsetNumber(highhtid) == FirstOffsetNumber)
return true;
return false;
}
/*
* Subroutine to find the "best" split point among candidate split points.
* The best split point is the split point with the lowest penalty among split
* points that fall within current/final split interval. Penalty is an
* abstract score, with a definition that varies depending on whether we're
* splitting a leaf page or an internal page. See _bt_split_penalty() for
* details.
*
* "perfectpenalty" is assumed to be the lowest possible penalty among
* candidate split points. This allows us to return early without wasting
* cycles on calculating the first differing attribute for all candidate
* splits when that clearly cannot improve our choice (or when we only want a
* minimally distinguishing split point, and don't want to make the split any
* more unbalanced than is necessary).
*
* We return the index of the first existing tuple that should go on the right
* page, plus a boolean indicating if new item is on left of split point.
*/
static OffsetNumber
_bt_bestsplitloc(FindSplitData *state, int perfectpenalty,
bool *newitemonleft, FindSplitStrat strategy)
{
int bestpenalty,
lowsplit;
int highsplit = Min(state->interval, state->nsplits);
SplitPoint *final;
bestpenalty = INT_MAX;
lowsplit = 0;
for (int i = lowsplit; i < highsplit; i++)
{
int penalty;
penalty = _bt_split_penalty(state, state->splits + i);
if (penalty < bestpenalty)
{
bestpenalty = penalty;
lowsplit = i;
}
if (penalty <= perfectpenalty)
break;
}
final = &state->splits[lowsplit];
/*
* There is a risk that the "many duplicates" strategy will repeatedly do
* the wrong thing when there are monotonically decreasing insertions to
* the right of a large group of duplicates. Repeated splits could leave
* a succession of right half pages with free space that can never be
* used. This must be avoided.
*
* Consider the example of the leftmost page in a single integer attribute
* NULLS FIRST index which is almost filled with NULLs. Monotonically
* decreasing integer insertions might cause the same leftmost page to
* split repeatedly at the same point. Each split derives its new high
* key from the lowest current value to the immediate right of the large
* group of NULLs, which will always be higher than all future integer
* insertions, directing all future integer insertions to the same
* leftmost page.
*/
if (strategy == SPLIT_MANY_DUPLICATES && !state->is_rightmost &&
!final->newitemonleft && final->firstrightoff >= state->newitemoff &&
final->firstrightoff < state->newitemoff + 9)
{
/*
* Avoid the problem by performing a 50:50 split when the new item is
* just to the right of the would-be "many duplicates" split point.
* (Note that the test used for an insert that is "just to the right"
* of the split point is conservative.)
*/
final = &state->splits[0];
}
*newitemonleft = final->newitemonleft;
return final->firstrightoff;
}
#define LEAF_SPLIT_DISTANCE 0.050
#define INTERNAL_SPLIT_DISTANCE 0.075
/*
* Return a split interval to use for the default strategy. This is a limit
* on the number of candidate split points to give further consideration to.
* Only a fraction of all candidate splits points (those located at the start
* of the now-sorted splits array) fall within the split interval. Split
* interval is applied within _bt_bestsplitloc().
*
* Split interval represents an acceptable range of split points -- those that
* have leftfree and rightfree values that are acceptably balanced. The final
* split point chosen is the split point with the lowest "penalty" among split
* points in this split interval (unless we change our entire strategy, in
* which case the interval also changes -- see _bt_strategy()).
*
* The "Prefix B-Trees" paper calls split interval sigma l for leaf splits,
* and sigma b for internal ("branch") splits. It's hard to provide a
* theoretical justification for the size of the split interval, though it's
* clear that a small split interval can make tuples on level L+1 much smaller
* on average, without noticeably affecting space utilization on level L.
* (Note that the way that we calculate split interval might need to change if
* suffix truncation is taught to truncate tuples "within" the last
* attribute/datum for data types like text, which is more or less how it is
* assumed to work in the paper.)
*/
static int
_bt_defaultinterval(FindSplitData *state)
{
SplitPoint *spaceoptimal;
int16 tolerance,
lowleftfree,
lowrightfree,
highleftfree,
highrightfree;
/*
* Determine leftfree and rightfree values that are higher and lower than
* we're willing to tolerate. Note that the final split interval will be
* about 10% of nsplits in the common case where all non-pivot tuples
* (data items) from a leaf page are uniformly sized. We're a bit more
* aggressive when splitting internal pages.
*/
if (state->is_leaf)
tolerance = state->olddataitemstotal * LEAF_SPLIT_DISTANCE;
else
tolerance = state->olddataitemstotal * INTERNAL_SPLIT_DISTANCE;
/* First candidate split point is the most evenly balanced */
spaceoptimal = state->splits;
lowleftfree = spaceoptimal->leftfree - tolerance;
lowrightfree = spaceoptimal->rightfree - tolerance;
highleftfree = spaceoptimal->leftfree + tolerance;
highrightfree = spaceoptimal->rightfree + tolerance;
/*
* Iterate through split points, starting from the split immediately after
* 'spaceoptimal'. Find the first split point that divides free space so
* unevenly that including it in the split interval would be unacceptable.
*/
for (int i = 1; i < state->nsplits; i++)
{
SplitPoint *split = state->splits + i;
/* Cannot use curdelta here, since its value is often weighted */
if (split->leftfree < lowleftfree || split->rightfree < lowrightfree ||
split->leftfree > highleftfree || split->rightfree > highrightfree)
return i;
}
return state->nsplits;
}
/*
* Subroutine to decide whether split should use default strategy/initial
* split interval, or whether it should finish splitting the page using
* alternative strategies (this is only possible with leaf pages).
*
* Caller uses alternative strategy (or sticks with default strategy) based
* on how *strategy is set here. Return value is "perfect penalty", which is
* passed to _bt_bestsplitloc() as a final constraint on how far caller is
* willing to go to avoid appending a heap TID when using the many duplicates
* strategy (it also saves _bt_bestsplitloc() useless cycles).
*/
static int
_bt_strategy(FindSplitData *state, SplitPoint *leftpage,
SplitPoint *rightpage, FindSplitStrat *strategy)
{
IndexTuple leftmost,
rightmost;
SplitPoint *leftinterval,
*rightinterval;
int perfectpenalty;
int indnkeyatts = IndexRelationGetNumberOfKeyAttributes(state->rel);
/* Assume that alternative strategy won't be used for now */
*strategy = SPLIT_DEFAULT;
/*
* Use smallest observed firstright item size for entire page (actually,
* entire imaginary version of page that includes newitem) as perfect
* penalty on internal pages. This can save cycles in the common case
* where most or all splits (not just splits within interval) have
* firstright tuples that are the same size.
*/
if (!state->is_leaf)
return state->minfirstrightsz;
/*
* Use leftmost and rightmost tuples from leftmost and rightmost splits in
* current split interval
*/
_bt_interval_edges(state, &leftinterval, &rightinterval);
leftmost = _bt_split_lastleft(state, leftinterval);
rightmost = _bt_split_firstright(state, rightinterval);
/*
* If initial split interval can produce a split point that will at least
* avoid appending a heap TID in new high key, we're done. Finish split
* with default strategy and initial split interval.
*/
perfectpenalty = _bt_keep_natts_fast(state->rel, leftmost, rightmost);
if (perfectpenalty <= indnkeyatts)
return perfectpenalty;
/*
* Work out how caller should finish split when even their "perfect"
* penalty for initial/default split interval indicates that the interval
* does not contain even a single split that avoids appending a heap TID.
*
* Use the leftmost split's lastleft tuple and the rightmost split's
* firstright tuple to assess every possible split.
*/
leftmost = _bt_split_lastleft(state, leftpage);
rightmost = _bt_split_firstright(state, rightpage);
/*
* If page (including new item) has many duplicates but is not entirely
* full of duplicates, a many duplicates strategy split will be performed.
* If page is entirely full of duplicates, a single value strategy split
* will be performed.
*/
perfectpenalty = _bt_keep_natts_fast(state->rel, leftmost, rightmost);
if (perfectpenalty <= indnkeyatts)
{
*strategy = SPLIT_MANY_DUPLICATES;
/*
* Many duplicates strategy should split at either side the group of
* duplicates that enclose the delta-optimal split point. Return
* indnkeyatts rather than the true perfect penalty to make that
* happen. (If perfectpenalty was returned here then low cardinality
* composite indexes could have continual unbalanced splits.)
*
* Note that caller won't go through with a many duplicates split in
* rare cases where it looks like there are ever-decreasing insertions
* to the immediate right of the split point. This must happen just
* before a final decision is made, within _bt_bestsplitloc().
*/
return indnkeyatts;
}
/*
* Single value strategy is only appropriate with ever-increasing heap
* TIDs; otherwise, original default strategy split should proceed to
* avoid pathological performance. Use page high key to infer if this is
* the rightmost page among pages that store the same duplicate value.
* This should not prevent insertions of heap TIDs that are slightly out
* of order from using single value strategy, since that's expected with
* concurrent inserters of the same duplicate value.
*/
else if (state->is_rightmost)
*strategy = SPLIT_SINGLE_VALUE;
else
{
ItemId itemid;
IndexTuple hikey;
itemid = PageGetItemId(state->origpage, P_HIKEY);
hikey = (IndexTuple) PageGetItem(state->origpage, itemid);
perfectpenalty = _bt_keep_natts_fast(state->rel, hikey,
state->newitem);
if (perfectpenalty <= indnkeyatts)
*strategy = SPLIT_SINGLE_VALUE;
else
{
/*
* Have caller finish split using default strategy, since page
* does not appear to be the rightmost page for duplicates of the
* value the page is filled with
*/
}
}
return perfectpenalty;
}
/*
* Subroutine to locate leftmost and rightmost splits for current/default
* split interval. Note that it will be the same split iff there is only one
* split in interval.
*/
static void
_bt_interval_edges(FindSplitData *state, SplitPoint **leftinterval,
SplitPoint **rightinterval)
{
int highsplit = Min(state->interval, state->nsplits);
SplitPoint *deltaoptimal;
deltaoptimal = state->splits;
*leftinterval = NULL;
*rightinterval = NULL;
/*
* Delta is an absolute distance to optimal split point, so both the
* leftmost and rightmost split point will usually be at the end of the
* array
*/
for (int i = highsplit - 1; i >= 0; i--)
{
SplitPoint *distant = state->splits + i;
if (distant->firstrightoff < deltaoptimal->firstrightoff)
{
if (*leftinterval == NULL)
*leftinterval = distant;
}
else if (distant->firstrightoff > deltaoptimal->firstrightoff)
{
if (*rightinterval == NULL)
*rightinterval = distant;
}
else if (!distant->newitemonleft && deltaoptimal->newitemonleft)
{
/*
* "incoming tuple will become firstright" (distant) is to the
* left of "incoming tuple will become lastleft" (delta-optimal)
*/
Assert(distant->firstrightoff == state->newitemoff);
if (*leftinterval == NULL)
*leftinterval = distant;
}
else if (distant->newitemonleft && !deltaoptimal->newitemonleft)
{
/*
* "incoming tuple will become lastleft" (distant) is to the right
* of "incoming tuple will become firstright" (delta-optimal)
*/
Assert(distant->firstrightoff == state->newitemoff);
if (*rightinterval == NULL)
*rightinterval = distant;
}
else
{
/* There was only one or two splits in initial split interval */
Assert(distant == deltaoptimal);
if (*leftinterval == NULL)
*leftinterval = distant;
if (*rightinterval == NULL)
*rightinterval = distant;
}
if (*leftinterval && *rightinterval)
return;
}
Assert(false);
}
/*
* Subroutine to find penalty for caller's candidate split point.
*
* On leaf pages, penalty is the attribute number that distinguishes each side
* of a split. It's the last attribute that needs to be included in new high
* key for left page. It can be greater than the number of key attributes in
* cases where a heap TID will need to be appended during truncation.
*
* On internal pages, penalty is simply the size of the firstright tuple for
* the split (including line pointer overhead). This tuple will become the
* new high key for the left page.
*/
static inline int
_bt_split_penalty(FindSplitData *state, SplitPoint *split)
{
IndexTuple lastleft;
IndexTuple firstright;
if (!state->is_leaf)
{
ItemId itemid;
if (!split->newitemonleft &&
split->firstrightoff == state->newitemoff)
return state->newitemsz;
itemid = PageGetItemId(state->origpage, split->firstrightoff);
return MAXALIGN(ItemIdGetLength(itemid)) + sizeof(ItemIdData);
}
lastleft = _bt_split_lastleft(state, split);
firstright = _bt_split_firstright(state, split);
return _bt_keep_natts_fast(state->rel, lastleft, firstright);
}
/*
* Subroutine to get a lastleft IndexTuple for a split point
*/
static inline IndexTuple
_bt_split_lastleft(FindSplitData *state, SplitPoint *split)
{
ItemId itemid;
if (split->newitemonleft && split->firstrightoff == state->newitemoff)
return state->newitem;
itemid = PageGetItemId(state->origpage,
OffsetNumberPrev(split->firstrightoff));
return (IndexTuple) PageGetItem(state->origpage, itemid);
}
/*
* Subroutine to get a firstright IndexTuple for a split point
*/
static inline IndexTuple
_bt_split_firstright(FindSplitData *state, SplitPoint *split)
{
ItemId itemid;
if (!split->newitemonleft && split->firstrightoff == state->newitemoff)
return state->newitem;
itemid = PageGetItemId(state->origpage, split->firstrightoff);
return (IndexTuple) PageGetItem(state->origpage, itemid);
}