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

846 lines
28 KiB
C
Raw Normal View History

Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
/*-------------------------------------------------------------------------
*
* nbtdedup.c
* Deduplicate items in Postgres btrees.
*
* Portions Copyright (c) 1996-2020, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
*
* IDENTIFICATION
* src/backend/access/nbtree/nbtdedup.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "access/nbtree.h"
#include "access/nbtxlog.h"
#include "miscadmin.h"
#include "utils/rel.h"
static bool _bt_do_singleval(Relation rel, Page page, BTDedupState state,
OffsetNumber minoff, IndexTuple newitem);
static void _bt_singleval_fillfactor(Page page, BTDedupState state,
Size newitemsz);
#ifdef USE_ASSERT_CHECKING
static bool _bt_posting_valid(IndexTuple posting);
#endif
/*
* Deduplicate items on a leaf page. The page will have to be split by caller
* if we cannot successfully free at least newitemsz (we also need space for
* newitem's line pointer, which isn't included in caller's newitemsz).
*
* The general approach taken here is to perform as much deduplication as
* possible to free as much space as possible. Note, however, that "single
* value" strategy is sometimes used for !checkingunique callers, in which
* case deduplication will leave a few tuples untouched at the end of the
* page. The general idea is to prepare the page for an anticipated page
* split that uses nbtsplitloc.c's "single value" strategy to determine a
* split point. (There is no reason to deduplicate items that will end up on
* the right half of the page after the anticipated page split; better to
* handle those if and when the anticipated right half page gets its own
* deduplication pass, following further inserts of duplicates.)
*
* This function should be called during insertion, when the page doesn't have
* enough space to fit an incoming newitem. If the BTP_HAS_GARBAGE page flag
* was set, caller should have removed any LP_DEAD items by calling
* _bt_vacuum_one_page() before calling here. We may still have to kill
* LP_DEAD items here when the page's BTP_HAS_GARBAGE hint is falsely unset,
* but that should be rare. Also, _bt_vacuum_one_page() won't unset the
* BTP_HAS_GARBAGE flag when it finds no LP_DEAD items, so a successful
* deduplication pass will always clear it, just to keep things tidy.
*/
void
_bt_dedup_one_page(Relation rel, Buffer buf, Relation heapRel,
IndexTuple newitem, Size newitemsz, bool checkingunique)
{
OffsetNumber offnum,
minoff,
maxoff;
Page page = BufferGetPage(buf);
BTPageOpaque opaque;
Page newpage;
OffsetNumber deletable[MaxIndexTuplesPerPage];
BTDedupState state;
int ndeletable = 0;
Size pagesaving = 0;
bool singlevalstrat = false;
int nkeyatts = IndexRelationGetNumberOfKeyAttributes(rel);
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
/*
* We can't assume that there are no LP_DEAD items. For one thing, VACUUM
* will clear the BTP_HAS_GARBAGE hint without reliably removing items
* that are marked LP_DEAD. We don't want to unnecessarily unset LP_DEAD
* bits when deduplicating items. Allowing it would be correct, though
* wasteful.
*/
opaque = (BTPageOpaque) PageGetSpecialPointer(page);
minoff = P_FIRSTDATAKEY(opaque);
maxoff = PageGetMaxOffsetNumber(page);
for (offnum = minoff;
offnum <= maxoff;
offnum = OffsetNumberNext(offnum))
{
ItemId itemid = PageGetItemId(page, offnum);
if (ItemIdIsDead(itemid))
deletable[ndeletable++] = offnum;
}
if (ndeletable > 0)
{
_bt_delitems_delete(rel, buf, deletable, ndeletable, heapRel);
/*
* Return when a split will be avoided. This is equivalent to
* avoiding a split using the usual _bt_vacuum_one_page() path.
*/
if (PageGetFreeSpace(page) >= newitemsz)
return;
/*
* Reconsider number of items on page, in case _bt_delitems_delete()
* managed to delete an item or two
*/
minoff = P_FIRSTDATAKEY(opaque);
maxoff = PageGetMaxOffsetNumber(page);
}
/* Passed-in newitemsz is MAXALIGNED but does not include line pointer */
newitemsz += sizeof(ItemIdData);
/*
* By here, it's clear that deduplication will definitely be attempted.
* Initialize deduplication state.
*
* It would be possible for maxpostingsize (limit on posting list tuple
* size) to be set to one third of the page. However, it seems like a
* good idea to limit the size of posting lists to one sixth of a page.
* That ought to leave us with a good split point when pages full of
* duplicates can be split several times.
*/
state = (BTDedupState) palloc(sizeof(BTDedupStateData));
state->deduplicate = true;
state->nmaxitems = 0;
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
state->maxpostingsize = Min(BTMaxItemSize(page) / 2, INDEX_SIZE_MASK);
/* Metadata about base tuple of current pending posting list */
state->base = NULL;
state->baseoff = InvalidOffsetNumber;
state->basetupsize = 0;
/* Metadata about current pending posting list TIDs */
state->htids = palloc(state->maxpostingsize);
state->nhtids = 0;
state->nitems = 0;
/* Size of all physical tuples to be replaced by pending posting list */
state->phystupsize = 0;
/* nintervals should be initialized to zero */
state->nintervals = 0;
/* Determine if "single value" strategy should be used */
if (!checkingunique)
singlevalstrat = _bt_do_singleval(rel, page, state, minoff, newitem);
/*
* Deduplicate items from page, and write them to newpage.
*
* Copy the original page's LSN into newpage copy. This will become the
* updated version of the page. We need this because XLogInsert will
* examine the LSN and possibly dump it in a page image.
*/
newpage = PageGetTempPageCopySpecial(page);
PageSetLSN(newpage, PageGetLSN(page));
/* Copy high key, if any */
if (!P_RIGHTMOST(opaque))
{
ItemId hitemid = PageGetItemId(page, P_HIKEY);
Size hitemsz = ItemIdGetLength(hitemid);
IndexTuple hitem = (IndexTuple) PageGetItem(page, hitemid);
if (PageAddItem(newpage, (Item) hitem, hitemsz, P_HIKEY,
false, false) == InvalidOffsetNumber)
elog(ERROR, "deduplication failed to add highkey");
}
for (offnum = minoff;
offnum <= maxoff;
offnum = OffsetNumberNext(offnum))
{
ItemId itemid = PageGetItemId(page, offnum);
IndexTuple itup = (IndexTuple) PageGetItem(page, itemid);
Assert(!ItemIdIsDead(itemid));
if (offnum == minoff)
{
/*
* No previous/base tuple for the data item -- use the data item
* as base tuple of pending posting list
*/
_bt_dedup_start_pending(state, itup, offnum);
}
else if (state->deduplicate &&
_bt_keep_natts_fast(rel, state->base, itup) > nkeyatts &&
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
_bt_dedup_save_htid(state, itup))
{
/*
* Tuple is equal to base tuple of pending posting list. Heap
* TID(s) for itup have been saved in state.
*/
}
else
{
/*
* Tuple is not equal to pending posting list tuple, or
* _bt_dedup_save_htid() opted to not merge current item into
* pending posting list for some other reason (e.g., adding more
* TIDs would have caused posting list to exceed current
* maxpostingsize).
*
* If state contains pending posting list with more than one item,
* form new posting tuple, and actually update the page. Else
* reset the state and move on without modifying the page.
*/
pagesaving += _bt_dedup_finish_pending(newpage, state);
if (singlevalstrat)
{
/*
* Single value strategy's extra steps.
*
* Lower maxpostingsize for sixth and final large posting list
* tuple at the point where 5 maxpostingsize-capped tuples
* have either been formed or observed.
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
*
* When a sixth maxpostingsize-capped item is formed/observed,
* stop merging together tuples altogether. The few tuples
* that remain at the end of the page won't be merged together
* at all (at least not until after a future page split takes
* place).
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
*/
if (state->nmaxitems == 5)
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
_bt_singleval_fillfactor(page, state, newitemsz);
else if (state->nmaxitems == 6)
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
{
state->deduplicate = false;
singlevalstrat = false; /* won't be back here */
}
}
/* itup starts new pending posting list */
_bt_dedup_start_pending(state, itup, offnum);
}
}
/* Handle the last item */
pagesaving += _bt_dedup_finish_pending(newpage, state);
/*
* If no items suitable for deduplication were found, newpage must be
* exactly the same as the original page, so just return from function.
*
* We could determine whether or not to proceed on the basis the space
* savings being sufficient to avoid an immediate page split instead. We
* don't do that because there is some small value in nbtsplitloc.c always
* operating against a page that is fully deduplicated (apart from
* newitem). Besides, most of the cost has already been paid.
*/
if (state->nintervals == 0)
{
/* cannot leak memory here */
pfree(newpage);
pfree(state->htids);
pfree(state);
return;
}
/*
* By here, it's clear that deduplication will definitely go ahead.
*
* Clear the BTP_HAS_GARBAGE page flag in the unlikely event that it is
* still falsely set, just to keep things tidy. (We can't rely on
* _bt_vacuum_one_page() having done this already, and we can't rely on a
* page split or VACUUM getting to it in the near future.)
*/
if (P_HAS_GARBAGE(opaque))
{
BTPageOpaque nopaque = (BTPageOpaque) PageGetSpecialPointer(newpage);
nopaque->btpo_flags &= ~BTP_HAS_GARBAGE;
}
START_CRIT_SECTION();
PageRestoreTempPage(newpage, page);
MarkBufferDirty(buf);
/* XLOG stuff */
if (RelationNeedsWAL(rel))
{
XLogRecPtr recptr;
xl_btree_dedup xlrec_dedup;
xlrec_dedup.nintervals = state->nintervals;
XLogBeginInsert();
XLogRegisterBuffer(0, buf, REGBUF_STANDARD);
XLogRegisterData((char *) &xlrec_dedup, SizeOfBtreeDedup);
/*
* The intervals array is not in the buffer, but pretend that it is.
* When XLogInsert stores the whole buffer, the array need not be
* stored too.
*/
XLogRegisterBufData(0, (char *) state->intervals,
state->nintervals * sizeof(BTDedupInterval));
recptr = XLogInsert(RM_BTREE_ID, XLOG_BTREE_DEDUP);
PageSetLSN(page, recptr);
}
END_CRIT_SECTION();
/* Local space accounting should agree with page accounting */
Assert(pagesaving < newitemsz || PageGetExactFreeSpace(page) >= newitemsz);
/* cannot leak memory here */
pfree(state->htids);
pfree(state);
}
/*
* Create a new pending posting list tuple based on caller's base tuple.
*
* Every tuple processed by deduplication either becomes the base tuple for a
* posting list, or gets its heap TID(s) accepted into a pending posting list.
* A tuple that starts out as the base tuple for a posting list will only
* actually be rewritten within _bt_dedup_finish_pending() when it turns out
* that there are duplicates that can be merged into the base tuple.
*/
void
_bt_dedup_start_pending(BTDedupState state, IndexTuple base,
OffsetNumber baseoff)
{
Assert(state->nhtids == 0);
Assert(state->nitems == 0);
Assert(!BTreeTupleIsPivot(base));
/*
* Copy heap TID(s) from new base tuple for new candidate posting list
* into working state's array
*/
if (!BTreeTupleIsPosting(base))
{
memcpy(state->htids, &base->t_tid, sizeof(ItemPointerData));
state->nhtids = 1;
state->basetupsize = IndexTupleSize(base);
}
else
{
int nposting;
nposting = BTreeTupleGetNPosting(base);
memcpy(state->htids, BTreeTupleGetPosting(base),
sizeof(ItemPointerData) * nposting);
state->nhtids = nposting;
/* basetupsize should not include existing posting list */
state->basetupsize = BTreeTupleGetPostingOffset(base);
}
/*
* Save new base tuple itself -- it'll be needed if we actually create a
* new posting list from new pending posting list.
*
* Must maintain physical size of all existing tuples (including line
* pointer overhead) so that we can calculate space savings on page.
*/
state->nitems = 1;
state->base = base;
state->baseoff = baseoff;
state->phystupsize = MAXALIGN(IndexTupleSize(base)) + sizeof(ItemIdData);
/* Also save baseoff in pending state for interval */
state->intervals[state->nintervals].baseoff = state->baseoff;
}
/*
* Save itup heap TID(s) into pending posting list where possible.
*
* Returns bool indicating if the pending posting list managed by state now
* includes itup's heap TID(s).
*/
bool
_bt_dedup_save_htid(BTDedupState state, IndexTuple itup)
{
int nhtids;
ItemPointer htids;
Size mergedtupsz;
Assert(!BTreeTupleIsPivot(itup));
if (!BTreeTupleIsPosting(itup))
{
nhtids = 1;
htids = &itup->t_tid;
}
else
{
nhtids = BTreeTupleGetNPosting(itup);
htids = BTreeTupleGetPosting(itup);
}
/*
* Don't append (have caller finish pending posting list as-is) if
* appending heap TID(s) from itup would put us over maxpostingsize limit.
*
* This calculation needs to match the code used within _bt_form_posting()
* for new posting list tuples.
*/
mergedtupsz = MAXALIGN(state->basetupsize +
(state->nhtids + nhtids) * sizeof(ItemPointerData));
if (mergedtupsz > state->maxpostingsize)
{
/*
* Count this as an oversized item for single value strategy, though
* only when there are 50 TIDs in the final posting list tuple. This
* limit (which is fairly arbitrary) avoids confusion about how many
* 1/6 of a page tuples have been encountered/created by the current
* deduplication pass.
*
* Note: We deliberately don't consider which deduplication pass
* merged together tuples to create this item (could be a previous
* deduplication pass, or current pass). See _bt_do_singleval()
* comments.
*/
if (state->nhtids > 50)
state->nmaxitems++;
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
return false;
}
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
/*
* Save heap TIDs to pending posting list tuple -- itup can be merged into
* pending posting list
*/
state->nitems++;
memcpy(state->htids + state->nhtids, htids,
sizeof(ItemPointerData) * nhtids);
state->nhtids += nhtids;
state->phystupsize += MAXALIGN(IndexTupleSize(itup)) + sizeof(ItemIdData);
return true;
}
/*
* Finalize pending posting list tuple, and add it to the page. Final tuple
* is based on saved base tuple, and saved list of heap TIDs.
*
* Returns space saving from deduplicating to make a new posting list tuple.
* Note that this includes line pointer overhead. This is zero in the case
* where no deduplication was possible.
*/
Size
_bt_dedup_finish_pending(Page newpage, BTDedupState state)
{
OffsetNumber tupoff;
Size tuplesz;
Size spacesaving;
Assert(state->nitems > 0);
Assert(state->nitems <= state->nhtids);
Assert(state->intervals[state->nintervals].baseoff == state->baseoff);
tupoff = OffsetNumberNext(PageGetMaxOffsetNumber(newpage));
if (state->nitems == 1)
{
/* Use original, unchanged base tuple */
tuplesz = IndexTupleSize(state->base);
if (PageAddItem(newpage, (Item) state->base, tuplesz, tupoff,
false, false) == InvalidOffsetNumber)
elog(ERROR, "deduplication failed to add tuple to page");
spacesaving = 0;
}
else
{
IndexTuple final;
/* Form a tuple with a posting list */
final = _bt_form_posting(state->base, state->htids, state->nhtids);
tuplesz = IndexTupleSize(final);
Assert(tuplesz <= state->maxpostingsize);
/* Save final number of items for posting list */
state->intervals[state->nintervals].nitems = state->nitems;
Assert(tuplesz == MAXALIGN(IndexTupleSize(final)));
if (PageAddItem(newpage, (Item) final, tuplesz, tupoff, false,
false) == InvalidOffsetNumber)
elog(ERROR, "deduplication failed to add tuple to page");
pfree(final);
spacesaving = state->phystupsize - (tuplesz + sizeof(ItemIdData));
/* Increment nintervals, since we wrote a new posting list tuple */
state->nintervals++;
Assert(spacesaving > 0 && spacesaving < BLCKSZ);
}
/* Reset state for next pending posting list */
state->nhtids = 0;
state->nitems = 0;
state->phystupsize = 0;
return spacesaving;
}
/*
* Determine if page non-pivot tuples (data items) are all duplicates of the
* same value -- if they are, deduplication's "single value" strategy should
* be applied. The general goal of this strategy is to ensure that
* nbtsplitloc.c (which uses its own single value strategy) will find a useful
* split point as further duplicates are inserted, and successive rightmost
* page splits occur among pages that store the same duplicate value. When
* the page finally splits, it should end up BTREE_SINGLEVAL_FILLFACTOR% full,
* just like it would if deduplication were disabled.
*
* We expect that affected workloads will require _several_ single value
* strategy deduplication passes (over a page that only stores duplicates)
* before the page is finally split. The first deduplication pass should only
* find regular non-pivot tuples. Later deduplication passes will find
* existing maxpostingsize-capped posting list tuples, which must be skipped
* over. The penultimate pass is generally the first pass that actually
* reaches _bt_singleval_fillfactor(), and so will deliberately leave behind a
* few untouched non-pivot tuples. The final deduplication pass won't free
* any space -- it will skip over everything without merging anything (it
* retraces the steps of the penultimate pass).
*
* Fortunately, having several passes isn't too expensive. Each pass (after
* the first pass) won't spend many cycles on the large posting list tuples
* left by previous passes. Each pass will find a large contiguous group of
* smaller duplicate tuples to merge together at the end of the page.
*
* Note: We deliberately don't bother checking if the high key is a distinct
* value (prior to the TID tiebreaker column) before proceeding, unlike
* nbtsplitloc.c. Its single value strategy only gets applied on the
* rightmost page of duplicates of the same value (other leaf pages full of
* duplicates will get a simple 50:50 page split instead of splitting towards
* the end of the page). There is little point in making the same distinction
* here.
*/
static bool
_bt_do_singleval(Relation rel, Page page, BTDedupState state,
OffsetNumber minoff, IndexTuple newitem)
{
int nkeyatts = IndexRelationGetNumberOfKeyAttributes(rel);
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
ItemId itemid;
IndexTuple itup;
itemid = PageGetItemId(page, minoff);
itup = (IndexTuple) PageGetItem(page, itemid);
if (_bt_keep_natts_fast(rel, newitem, itup) > nkeyatts)
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
{
itemid = PageGetItemId(page, PageGetMaxOffsetNumber(page));
itup = (IndexTuple) PageGetItem(page, itemid);
if (_bt_keep_natts_fast(rel, newitem, itup) > nkeyatts)
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
return true;
}
return false;
}
/*
* Lower maxpostingsize when using "single value" strategy, to avoid a sixth
* and final maxpostingsize-capped tuple. The sixth and final posting list
* tuple will end up somewhat smaller than the first five. (Note: The first
* five tuples could actually just be very large duplicate tuples that
* couldn't be merged together at all. Deduplication will simply not modify
* the page when that happens.)
*
* When there are six posting lists on the page (after current deduplication
* pass goes on to create/observe a sixth very large tuple), caller should end
* its deduplication pass. It isn't useful to try to deduplicate items that
* are supposed to end up on the new right sibling page following the
* anticipated page split. A future deduplication pass of future right
* sibling page might take care of it. (This is why the first single value
* strategy deduplication pass for a given leaf page will generally find only
* plain non-pivot tuples -- see _bt_do_singleval() comments.)
*/
static void
_bt_singleval_fillfactor(Page page, BTDedupState state, Size newitemsz)
{
Size leftfree;
int reduction;
/* This calculation needs to match nbtsplitloc.c */
leftfree = PageGetPageSize(page) - SizeOfPageHeaderData -
MAXALIGN(sizeof(BTPageOpaqueData));
/* Subtract size of new high key (includes pivot heap TID space) */
leftfree -= newitemsz + MAXALIGN(sizeof(ItemPointerData));
/*
* Reduce maxpostingsize by an amount equal to target free space on left
* half of page
*/
reduction = leftfree * ((100 - BTREE_SINGLEVAL_FILLFACTOR) / 100.0);
if (state->maxpostingsize > reduction)
state->maxpostingsize -= reduction;
else
state->maxpostingsize = 0;
}
/*
* Build a posting list tuple based on caller's "base" index tuple and list of
* heap TIDs. When nhtids == 1, builds a standard non-pivot tuple without a
* posting list. (Posting list tuples can never have a single heap TID, partly
* because that ensures that deduplication always reduces final MAXALIGN()'d
* size of entire tuple.)
*
* Convention is that posting list starts at a MAXALIGN()'d offset (rather
* than a SHORTALIGN()'d offset), in line with the approach taken when
* appending a heap TID to new pivot tuple/high key during suffix truncation.
* This sometimes wastes a little space that was only needed as alignment
* padding in the original tuple. Following this convention simplifies the
* space accounting used when deduplicating a page (the same convention
* simplifies the accounting for choosing a point to split a page at).
*
* Note: Caller's "htids" array must be unique and already in ascending TID
* order. Any existing heap TIDs from "base" won't automatically appear in
* returned posting list tuple (they must be included in htids array.)
*/
IndexTuple
_bt_form_posting(IndexTuple base, ItemPointer htids, int nhtids)
{
uint32 keysize,
newsize;
IndexTuple itup;
if (BTreeTupleIsPosting(base))
keysize = BTreeTupleGetPostingOffset(base);
else
keysize = IndexTupleSize(base);
Assert(!BTreeTupleIsPivot(base));
Assert(nhtids > 0 && nhtids <= PG_UINT16_MAX);
Assert(keysize == MAXALIGN(keysize));
/* Determine final size of new tuple */
if (nhtids > 1)
newsize = MAXALIGN(keysize +
nhtids * sizeof(ItemPointerData));
else
newsize = keysize;
Assert(newsize <= INDEX_SIZE_MASK);
Assert(newsize == MAXALIGN(newsize));
/* Allocate memory using palloc0() (matches index_form_tuple()) */
itup = palloc0(newsize);
memcpy(itup, base, keysize);
itup->t_info &= ~INDEX_SIZE_MASK;
itup->t_info |= newsize;
if (nhtids > 1)
{
/* Form posting list tuple */
BTreeTupleSetPosting(itup, nhtids, keysize);
memcpy(BTreeTupleGetPosting(itup), htids,
sizeof(ItemPointerData) * nhtids);
Assert(_bt_posting_valid(itup));
}
else
{
/* Form standard non-pivot tuple */
itup->t_info &= ~INDEX_ALT_TID_MASK;
ItemPointerCopy(htids, &itup->t_tid);
Assert(ItemPointerIsValid(&itup->t_tid));
}
return itup;
}
/*
* Generate a replacement tuple by "updating" a posting list tuple so that it
* no longer has TIDs that need to be deleted.
*
* Used by VACUUM. Caller's vacposting argument points to the existing
* posting list tuple to be updated.
*
* On return, caller's vacposting argument will point to final "updated"
* tuple, which will be palloc()'d in caller's memory context.
*/
void
_bt_update_posting(BTVacuumPosting vacposting)
{
IndexTuple origtuple = vacposting->itup;
uint32 keysize,
newsize;
IndexTuple itup;
int nhtids;
int ui,
d;
ItemPointer htids;
nhtids = BTreeTupleGetNPosting(origtuple) - vacposting->ndeletedtids;
Assert(_bt_posting_valid(origtuple));
Assert(nhtids > 0 && nhtids < BTreeTupleGetNPosting(origtuple));
/*
* Determine final size of new tuple.
*
* This calculation needs to match the code used within _bt_form_posting()
* for new posting list tuples. We avoid calling _bt_form_posting() here
* to save ourselves a second memory allocation for a htids workspace.
*/
keysize = BTreeTupleGetPostingOffset(origtuple);
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
if (nhtids > 1)
newsize = MAXALIGN(keysize +
nhtids * sizeof(ItemPointerData));
else
newsize = keysize;
Assert(newsize <= INDEX_SIZE_MASK);
Assert(newsize == MAXALIGN(newsize));
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
/* Allocate memory using palloc0() (matches index_form_tuple()) */
itup = palloc0(newsize);
memcpy(itup, origtuple, keysize);
itup->t_info &= ~INDEX_SIZE_MASK;
itup->t_info |= newsize;
if (nhtids > 1)
{
/* Form posting list tuple */
BTreeTupleSetPosting(itup, nhtids, keysize);
htids = BTreeTupleGetPosting(itup);
}
else
{
/* Form standard non-pivot tuple */
itup->t_info &= ~INDEX_ALT_TID_MASK;
htids = &itup->t_tid;
}
ui = 0;
d = 0;
for (int i = 0; i < BTreeTupleGetNPosting(origtuple); i++)
{
if (d < vacposting->ndeletedtids && vacposting->deletetids[d] == i)
{
d++;
continue;
}
htids[ui++] = *BTreeTupleGetPostingN(origtuple, i);
}
Assert(ui == nhtids);
Assert(d == vacposting->ndeletedtids);
Assert(nhtids == 1 || _bt_posting_valid(itup));
Assert(nhtids > 1 || ItemPointerIsValid(&itup->t_tid));
Add deduplication to nbtree. Deduplication reduces the storage overhead of duplicates in indexes that use the standard nbtree index access method. The deduplication process is applied lazily, after the point where opportunistic deletion of LP_DEAD-marked index tuples occurs. Deduplication is only applied at the point where a leaf page split would otherwise be required. New posting list tuples are formed by merging together existing duplicate tuples. The physical representation of the items on an nbtree leaf page is made more space efficient by deduplication, but the logical contents of the page are not changed. Even unique indexes make use of deduplication as a way of controlling bloat from duplicates whose TIDs point to different versions of the same logical table row. The lazy approach taken by nbtree has significant advantages over a GIN style eager approach. Most individual inserts of index tuples have exactly the same overhead as before. The extra overhead of deduplication is amortized across insertions, just like the overhead of page splits. The key space of indexes works in the same way as it has since commit dd299df8 (the commit that made heap TID a tiebreaker column). Testing has shown that nbtree deduplication can generally make indexes with about 10 or 15 tuples for each distinct key value about 2.5X - 4X smaller, even with single column integer indexes (e.g., an index on a referencing column that accompanies a foreign key). The final size of single column nbtree indexes comes close to the final size of a similar contrib/btree_gin index, at least in cases where GIN's posting list compression isn't very effective. This can significantly improve transaction throughput, and significantly reduce the cost of vacuuming indexes. A new index storage parameter (deduplicate_items) controls the use of deduplication. The default setting is 'on', so all new B-Tree indexes automatically use deduplication where possible. This decision will be reviewed at the end of the Postgres 13 beta period. There is a regression of approximately 2% of transaction throughput with synthetic workloads that consist of append-only inserts into a table with several non-unique indexes, where all indexes have few or no repeated values. The underlying issue is that cycles are wasted on unsuccessful attempts at deduplicating items in non-unique indexes. There doesn't seem to be a way around it short of disabling deduplication entirely. Note that deduplication of items in unique indexes is fairly well targeted in general, which avoids the problem there (we can use a special heuristic to trigger deduplication passes in unique indexes, since we're specifically targeting "version bloat"). Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed. No bump in BTREE_VERSION, since the representation of posting list tuples works in a way that's backwards compatible with version 4 indexes (i.e. indexes built on PostgreSQL 12). However, users must still REINDEX a pg_upgrade'd index to use deduplication, regardless of the Postgres version they've upgraded from. This is the only way to set the new nbtree metapage flag indicating that deduplication is generally safe. Author: Anastasia Lubennikova, Peter Geoghegan Reviewed-By: Peter Geoghegan, Heikki Linnakangas Discussion: https://postgr.es/m/55E4051B.7020209@postgrespro.ru https://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
2020-02-26 22:05:30 +01:00
/* vacposting arg's itup will now point to updated version */
vacposting->itup = itup;
}
/*
* Prepare for a posting list split by swapping heap TID in newitem with heap
* TID from original posting list (the 'oposting' heap TID located at offset
* 'postingoff'). Modifies newitem, so caller should pass their own private
* copy that can safely be modified.
*
* Returns new posting list tuple, which is palloc()'d in caller's context.
* This is guaranteed to be the same size as 'oposting'. Modified newitem is
* what caller actually inserts. (This happens inside the same critical
* section that performs an in-place update of old posting list using new
* posting list returned here.)
*
* While the keys from newitem and oposting must be opclass equal, and must
* generate identical output when run through the underlying type's output
* function, it doesn't follow that their representations match exactly.
* Caller must avoid assuming that there can't be representational differences
* that make datums from oposting bigger or smaller than the corresponding
* datums from newitem. For example, differences in TOAST input state might
* break a faulty assumption about tuple size (the executor is entitled to
* apply TOAST compression based on its own criteria). It also seems possible
* that further representational variation will be introduced in the future,
* in order to support nbtree features like page-level prefix compression.
*
* See nbtree/README for details on the design of posting list splits.
*/
IndexTuple
_bt_swap_posting(IndexTuple newitem, IndexTuple oposting, int postingoff)
{
int nhtids;
char *replacepos;
char *replaceposright;
Size nmovebytes;
IndexTuple nposting;
nhtids = BTreeTupleGetNPosting(oposting);
Assert(_bt_posting_valid(oposting));
Assert(postingoff > 0 && postingoff < nhtids);
/*
* Move item pointers in posting list to make a gap for the new item's
* heap TID. We shift TIDs one place to the right, losing original
* rightmost TID. (nmovebytes must not include TIDs to the left of
* postingoff, nor the existing rightmost/max TID that gets overwritten.)
*/
nposting = CopyIndexTuple(oposting);
replacepos = (char *) BTreeTupleGetPostingN(nposting, postingoff);
replaceposright = (char *) BTreeTupleGetPostingN(nposting, postingoff + 1);
nmovebytes = (nhtids - postingoff - 1) * sizeof(ItemPointerData);
memmove(replaceposright, replacepos, nmovebytes);
/* Fill the gap at postingoff with TID of new item (original new TID) */
Assert(!BTreeTupleIsPivot(newitem) && !BTreeTupleIsPosting(newitem));
ItemPointerCopy(&newitem->t_tid, (ItemPointer) replacepos);
/* Now copy oposting's rightmost/max TID into new item (final new TID) */
ItemPointerCopy(BTreeTupleGetMaxHeapTID(oposting), &newitem->t_tid);
Assert(ItemPointerCompare(BTreeTupleGetMaxHeapTID(nposting),
BTreeTupleGetHeapTID(newitem)) < 0);
Assert(_bt_posting_valid(nposting));
return nposting;
}
/*
* Verify posting list invariants for "posting", which must be a posting list
* tuple. Used within assertions.
*/
#ifdef USE_ASSERT_CHECKING
static bool
_bt_posting_valid(IndexTuple posting)
{
ItemPointerData last;
ItemPointer htid;
if (!BTreeTupleIsPosting(posting) || BTreeTupleGetNPosting(posting) < 2)
return false;
/* Remember first heap TID for loop */
ItemPointerCopy(BTreeTupleGetHeapTID(posting), &last);
if (!ItemPointerIsValid(&last))
return false;
/* Iterate, starting from second TID */
for (int i = 1; i < BTreeTupleGetNPosting(posting); i++)
{
htid = BTreeTupleGetPostingN(posting, i);
if (!ItemPointerIsValid(htid))
return false;
if (ItemPointerCompare(htid, &last) <= 0)
return false;
ItemPointerCopy(htid, &last);
}
return true;
}
#endif