module provides functions that allow you to
verify the logical consistency of the structure of relations. If the
structure appears to be valid, no error is raised.
The functions verify various
structure of the representation of particular relations. The
correctness of the access method functions behind index scans and
other important operations relies on these invariants always
holding. For example, certain functions verify, among other things,
that all B-Tree pages have items in
for B-Tree indexes on
, index tuples should be in
collated lexical order). If that particular invariant somehow fails
to hold, we can expect binary searches on the affected page to
incorrectly guide index scans, resulting in wrong answers to SQL
Verification is performed using the same procedures as those used by index scans themselves, which may be user-defined operator class code. For example, B-Tree index verification relies on comparisons made with one or more B-Tree support function 1 routines. See Section 38.15.3 for details of operator class support functions.
functions may only be used by superusers.
bt_index_check(index regclass, heapallindexed boolean) returns void
bt_index_checktests that its target, a B-Tree index, respects a variety of invariants. Example usage:
test=# SELECT bt_index_check(index => c.oid, heapallindexed => i.indisunique), c.relname, c.relpages FROM pg_index i JOIN pg_opclass op ON i.indclass = op.oid JOIN pg_am am ON op.opcmethod = am.oid JOIN pg_class c ON i.indexrelid = c.oid JOIN pg_namespace n ON c.relnamespace = n.oid WHERE am.amname = 'btree' AND n.nspname = 'pg_catalog' -- Don't check temp tables, which may be from another session: AND c.relpersistence != 't' -- Function may throw an error when this is omitted: AND c.relkind = 'i' AND i.indisready AND i.indisvalid ORDER BY c.relpages DESC LIMIT 10; bt_index_check | relname | relpages ----------------+---------------------------------+---------- | pg_depend_reference_index | 43 | pg_depend_depender_index | 40 | pg_proc_proname_args_nsp_index | 31 | pg_description_o_c_o_index | 21 | pg_attribute_relid_attnam_index | 14 | pg_proc_oid_index | 10 | pg_attribute_relid_attnum_index | 9 | pg_amproc_fam_proc_index | 5 | pg_amop_opr_fam_index | 5 | pg_amop_fam_strat_index | 5 (10 rows)
This example shows a session that performs verification of the 10 largest catalog indexes in the database " test " . Verification of the presence of heap tuples as index tuples is requested for the subset that are unique indexes. Since no error is raised, all indexes tested appear to be logically consistent. Naturally, this query could easily be changed to call
bt_index_checkfor every index in the database where verification is supported.
AccessShareLockon the target index and the heap relation it belongs to. This lock mode is the same lock mode acquired on relations by simple
bt_index_checkdoes not verify invariants that span child/parent relationships, but will verify the presence of all heap tuples as index tuples within the index when
true. When a routine, lightweight test for corruption is required in a live production environment, using
bt_index_checkoften provides the best trade-off between thoroughness of verification and limiting the impact on application performance and availability.
bt_index_parent_check(index regclass, heapallindexed boolean) returns void
bt_index_parent_checktests that its target, a B-Tree index, respects a variety of invariants. Optionally, when the
true, the function verifies the presence of all heap tuples that should be found within the index, and that there are no missing downlinks in the index structure. The checks that can be performed by
bt_index_parent_checkare a superset of the checks that can be performed by
bt_index_parent_checkcan be thought of as a more thorough variant of
bt_index_parent_checkalso checks invariants that span parent/child relationships.
bt_index_parent_checkfollows the general convention of raising an error if it finds a logical inconsistency or other problem.
ShareLockis required on the target index by
ShareLockis also acquired on the heap relation). These locks prevent concurrent data modification from
DELETEcommands. The locks also prevent the underlying relation from being concurrently processed by
VACUUM, as well as all other utility commands. Note that the function holds locks only while running, not for the entire transaction.
bt_index_parent_check's additional verification is more likely to detect various pathological cases. These cases may involve an incorrectly implemented B-Tree operator class used by the index that is checked, or, hypothetically, undiscovered bugs in the underlying B-Tree index access method code. Note that
bt_index_parent_checkcannot be used when Hot Standby mode is enabled (i.e., on read-only physical replicas), unlike
verification functions is
, an additional
phase of verification is performed against the table associated with
the target index relation. This consists of a
operation, which checks for the
presence of all hypothetical new index tuples against a temporary,
in-memory summarizing structure (this is built when needed during
the basic first phase of verification). The summarizing structure
every tuple found within the target
index. The high level principle behind
verification is that a new
index that is equivalent to the existing, target index must only
have entries that can be found in the existing structure.
significant overhead: verification will typically take several times
longer. However, there is no change to the relation-level locks
The summarizing structure is bound in size by
. In order to ensure that
there is no more than a 2% probability of failure to detect an
inconsistency for each heap tuple that should be represented in the
index, approximately 2 bytes of memory are needed per tuple. As
less memory is made available per tuple, the probability of missing
an inconsistency slowly increases. This approach limits the
overhead of verification significantly, while only slightly reducing
the probability of detecting a problem, especially for installations
where verification is treated as a routine maintenance task. Any
single absent or malformed tuple has a new opportunity to be
detected with each new verification attempt.
can be effective at detecting various types of
failure modes that
will always fail to catch. These include:
Structural inconsistencies caused by incorrect operator class implementations.
This includes issues caused by the comparison rules of operating system collations changing. Comparisons of datums of a collatable type like
textmust be immutable (just as all comparisons used for B-Tree index scans must be immutable), which implies that operating system collation rules must never change. Though rare, updates to operating system collation rules can cause these issues. More commonly, an inconsistency in the collation order between a master server and a standby server is implicated, possibly because the major operating system version in use is inconsistent. Such inconsistencies will generally only arise on standby servers, and so can generally only be detected on standby servers.
If a problem like this arises, it may not affect each individual index that is ordered using an affected collation, simply because indexed values might happen to have the same absolute ordering regardless of the behavioral inconsistency. See Section 23.1 and Section 23.2 for further details about how PostgreSQL uses operating system locales and collations.
Structural inconsistencies between indexes and the heap relations that are indexed (when
heapallindexedverification is performed).
There is no cross-checking of indexes against their heap relation during normal operation. Symptoms of heap corruption can be subtle.
Corruption caused by hypothetical undiscovered bugs in the underlying PostgreSQL access method code, sort code, or transaction management code.
Automatic verification of the structural integrity of indexes plays a role in the general testing of new or proposed PostgreSQL features that could plausibly allow a logical inconsistency to be introduced. Verification of table structure and associated visibility and transaction status information plays a similar role. One obvious testing strategy is to call
amcheckfunctions continuously when running the standard regression tests. See Section 33.1 for details on running the tests.
File system or storage subsystem faults where checksums happen to simply not be enabled.
amcheckexamines a page as represented in some shared memory buffer at the time of verification if there is only a shared buffer hit when accessing the block. Consequently,
amcheckdoes not necessarily examine data read from the file system at the time of verification. Note that when checksums are enabled,
amcheckmay raise an error due to a checksum failure when a corrupt block is read into a buffer.
Corruption caused by faulty RAM, or the broader memory subsystem.
PostgreSQL does not protect against correctable memory errors and it is assumed you will operate using RAM that uses industry standard Error Correcting Codes (ECC) or better protection. However, ECC memory is typically only immune to single-bit errors, and should not be assumed to provide absolute protection against failures that result in memory corruption.
heapallindexedverification is performed, there is generally a greatly increased chance of detecting single-bit errors, since strict binary equality is tested, and the indexed attributes within the heap are tested.
can only prove the presence of
corruption; it cannot prove its absence.
F.2.4. Repairing corruption
No error concerning corruption raised by
ever be a false positive.
errors in the event of conditions that, by definition, should never
happen, and so careful analysis of
errors is often required.
There is no general method of repairing problems that
detects. An explanation for the root cause of
an invariant violation should be sought.
may play a useful role in diagnosing
may not be effective in repairing corruption.