Commit c1afd175, which added support for rootdescend verification to
amcheck, added only minimal regression test coverage. Address this by
making sure that rootdescend verification is run on a multi-level index.
In passing, simplify some of the regression tests that exercise
multi-level nbtree page deletion.
Both issues spotted while rereviewing coverage of the nbtree patch
series using gcov.
Teach contrib/amcheck's bt_index_parent_check() function to take
advantage of the uniqueness property of heapkeyspace indexes in support
of a new verification option: non-pivot tuples (non-highkey tuples on
the leaf level) can optionally be re-found using a new search for each,
that starts from the root page. If a tuple cannot be re-found, report
that the index is corrupt.
The new "rootdescend" verification option is exhaustive, and can
therefore make a call to bt_index_parent_check() take a lot longer.
Re-finding tuples during verification is mostly intended as an option
for backend developers, since the corruption scenarios that it alone is
uniquely capable of detecting seem fairly far-fetched.
For example, "rootdescend" verification is much more likely to detect
corruption of the least significant byte of a key from a pivot tuple in
the root page of a B-Tree that already has at least three levels.
Typically, only a few tuples on a cousin leaf page are at risk of
"getting overlooked" by index scans in this scenario. The corrupt key
in the root page is only slightly corrupt: corrupt enough to give wrong
answers to some queries, and yet not corrupt enough to allow the problem
to be detected without verifying agreement between the leaf page and the
root page, skipping at least one internal page level. The existing
bt_index_parent_check() checks never cross more than a single level.
Author: Peter Geoghegan
Reviewed-By: Heikki Linnakangas
Discussion: https://postgr.es/m/CAH2-Wz=yTWnVu+HeHGKb2AGiADL9eprn-cKYAto4MkKOuiGtRQ@mail.gmail.com
Make nbtree treat all index tuples as having a heap TID attribute.
Index searches can distinguish duplicates by heap TID, since heap TID is
always guaranteed to be unique. This general approach has numerous
benefits for performance, and is prerequisite to teaching VACUUM to
perform "retail index tuple deletion".
Naively adding a new attribute to every pivot tuple has unacceptable
overhead (it bloats internal pages), so suffix truncation of pivot
tuples is added. This will usually truncate away the "extra" heap TID
attribute from pivot tuples during a leaf page split, and may also
truncate away additional user attributes. This can increase fan-out,
especially in a multi-column index. Truncation can only occur at the
attribute granularity, which isn't particularly effective, but works
well enough for now. A future patch may add support for truncating
"within" text attributes by generating truncated key values using new
opclass infrastructure.
Only new indexes (BTREE_VERSION 4 indexes) will have insertions that
treat heap TID as a tiebreaker attribute, or will have pivot tuples
undergo suffix truncation during a leaf page split (on-disk
compatibility with versions 2 and 3 is preserved). Upgrades to version
4 cannot be performed on-the-fly, unlike upgrades from version 2 to
version 3. contrib/amcheck continues to work with version 2 and 3
indexes, while also enforcing stricter invariants when verifying version
4 indexes. These stricter invariants are the same invariants described
by "3.1.12 Sequencing" from the Lehman and Yao paper.
A later patch will enhance the logic used by nbtree to pick a split
point. This patch is likely to negatively impact performance without
smarter choices around the precise point to split leaf pages at. Making
these two mostly-distinct sets of enhancements into distinct commits
seems like it might clarify their design, even though neither commit is
particularly useful on its own.
The maximum allowed size of new tuples is reduced by an amount equal to
the space required to store an extra MAXALIGN()'d TID in a new high key
during leaf page splits. The user-facing definition of the "1/3 of a
page" restriction is already imprecise, and so does not need to be
revised. However, there should be a compatibility note in the v12
release notes.
Author: Peter Geoghegan
Reviewed-By: Heikki Linnakangas, Alexander Korotkov
Discussion: https://postgr.es/m/CAH2-WzkVb0Kom=R+88fDFb=JSxZMFvbHVC6Mn9LJ2n=X=kS-Uw@mail.gmail.com
The previous tacit assumption that index_form_tuple() hides differences
in the TOAST state of its input datums was wrong. Normalize input
varlena datums by decompressing compressed values, and forming a new
index tuple for fingerprinting using uncompressed inputs. The final
normalized representation may actually be compressed once again within
index_form_tuple(), though that shouldn't matter. When the original
tuple is found to have no datums that are compressed inline, fingerprint
the original tuple directly.
Normalization avoids false positive reports of corruption in certain
cases. For example, the executor can apply toasting with some inline
compression to an entire heap tuple because its input has a single
external TOAST pointer. Varlena datums for other attributes that are
not particularly good candidates for inline compression can be
compressed in the heap tuple in passing, without the representation of
the same values in index tuples ever receiving concomitant inline
compression.
Add a test case to recreate the issue in a simpler though less realistic
way: by exploiting differences in pg_attribute.attstorage between heap
and index relations.
This bug was discovered by me during testing of an upcoming set of nbtree
enhancements. It was also independently reported by Andreas Kunert, as
bug #15597. His test case was rather more realistic than the one I
ended up using.
Bug: #15597
Discussion: https://postgr.es/m/CAH2-WznrVd9ie+TTJ45nDT+v2nUt6YJwQrT9SebCdQKtAvfPZw@mail.gmail.com
Discussion: https://postgr.es/m/15597-294e5d3e7f01c407@postgresql.org
Backpatch: 11-, where heapallindexed verification was introduced.
Also use palloc0() for main amcheck state, and adjust a few comments.
Somehow I pushed old version of patch in commit
4eaf7eaccb, so commit the difference.
Peter Geoghegan
This patch introduces INCLUDE clause to index definition. This clause
specifies a list of columns which will be included as a non-key part in
the index. The INCLUDE columns exist solely to allow more queries to
benefit from index-only scans. Also, such columns don't need to have
appropriate operator classes. Expressions are not supported as INCLUDE
columns since they cannot be used in index-only scans.
Index access methods supporting INCLUDE are indicated by amcaninclude flag
in IndexAmRoutine. For now, only B-tree indexes support INCLUDE clause.
In B-tree indexes INCLUDE columns are truncated from pivot index tuples
(tuples located in non-leaf pages and high keys). Therefore, B-tree indexes
now might have variable number of attributes. This patch also provides
generic facility to support that: pivot tuples contain number of their
attributes in t_tid.ip_posid. Free 13th bit of t_info is used for indicating
that. This facility will simplify further support of index suffix truncation.
The changes of above are backward-compatible, pg_upgrade doesn't need special
handling of B-tree indexes for that.
Bump catalog version
Author: Anastasia Lubennikova with contribition by Alexander Korotkov and me
Reviewed by: Peter Geoghegan, Tomas Vondra, Antonin Houska, Jeff Janes,
David Rowley, Alexander Korotkov
Discussion: https://www.postgresql.org/message-id/flat/56168952.4010101@postgrespro.ru
Add a new, optional, capability to bt_index_check() and
bt_index_parent_check(): check that each heap tuple that should have an
index entry does in fact have one. The extra checking is performed at
the end of the existing nbtree checks.
This is implemented by using a Bloom filter data structure. The
implementation performs set membership tests within a callback (the same
type of callback that each index AM registers for CREATE INDEX). The
Bloom filter is populated during the initial index verification scan.
Reusing the CREATE INDEX infrastructure allows the new verification
option to automatically benefit from the heap consistency checks that
CREATE INDEX already performs. CREATE INDEX does thorough sanity
checking of HOT chains, so the new check actually manages to detect
problems in heap-only tuples.
Author: Peter Geoghegan
Reviewed-By: Pavan Deolasee, Andres Freund
Discussion: https://postgr.es/m/CAH2-Wzm5VmG7cu1N-H=nnS57wZThoSDQU+F5dewx3o84M+jY=g@mail.gmail.com
The previous coding of the test was vulnerable against autovacuum
triggering work on one of the tables in check_btree.sql.
For the purpose of the test it's entirely sufficient to check for
locks taken by the current process, so add an appropriate restriction.
While touching the test, expand it to also check for locks on the
underlying relations, rather than just the indexes.
Reported-By: Tom Lane
Discussion: https://postgr.es/m/30354.1489434301@sss.pgh.pa.us
This is the beginning of a collection of SQL-callable functions to
verify the integrity of data files. For now it only contains code to
verify B-Tree indexes.
This adds two SQL-callable functions, validating B-Tree consistency to
a varying degree. Check the, extensive, docs for details.
The goal is to later extend the coverage of the module to further
access methods, possibly including the heap. Once checks for
additional access methods exist, we'll likely add some "dispatch"
functions that cover multiple access methods.
Author: Peter Geoghegan, editorialized by Andres Freund
Reviewed-By: Andres Freund, Tomas Vondra, Thomas Munro,
Anastasia Lubennikova, Robert Haas, Amit Langote
Discussion: CAM3SWZQzLMhMwmBqjzK+pRKXrNUZ4w90wYMUWfkeV8mZ3Debvw@mail.gmail.com
