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6.4.5.6 Reading Audit Log Files
The audit log plugin supports user-defined functions that provide an SQL interface for reading JSON-format audit log files. (This capability does not apply to log files written in other formats.)
When the audit log plugin initializes and is configured for JSON
logging, it uses the directory containing the current audit log
file as the location to search for readable audit log files. The
plugin determines the file location, base name, and suffix from
the value of the audit_log_file
system variable, then looks for files with names that match the
following pattern, where [...]
indicates
optional file name parts:
basename[.timestamp].suffix[.gz][[.pwd_id].enc]
If a file name ends with .enc
, the file is
encrypted and reading its unencrypted contents requires a
decryption password obtained from the keyring. The audit log
plugin determines the keyring ID of the decryption password as
follows:
If
.enc
is preceded bypwd_id
, the keyring ID isaudit_log-
.pwd_id
If
.enc
is not preceded bypwd_id
, the file has an old name from before audit log encryption password history was implemented. The keyring ID isaudit_log
.
For more information about encrypted audit log files, see Encrypting Audit Log Files.
The plugin ignores files that have been renamed manually and do
not match the pattern, and files that were encrypted with a
password no longer available in the keyring. The plugin opens
each remaining candidate file, verifies that the file actually
contains JSON
audit events, and
sorts the files using the timestamps from the first event of
each file. The result is a sequence of files that are subject to
access using the log-reading user-defined functions (UDFs):
audit_log_read()
reads events from the audit log or closes the reading process.audit_log_read_bookmark()
returns a bookmark for the most recently written audit log event. This bookmark is suitable for passing toaudit_log_read()
to indicate where to begin reading.
audit_log_read()
takes an optional
JSON
string argument, and the
result returned from a successful call to either function is a
JSON
string.
To use the functions to read the audit log, follow these principles:
Call
audit_log_read()
to read events beginning from a given position or the current position, or to close reading:To initialize an audit log read sequence, pass an argument that indicates the position at which to begin. One way to do so is to pass the bookmark returned by
audit_log_read_bookmark()
:To continue reading from the current position in the sequence, call
audit_log_read()
with no position specified:To explicitly close the read sequence, pass a
JSON
null
argument:It is unnecessary to close reading explicitly. Reading is closed implicitly when the session ends or a new read sequence is initialized by calling
audit_log_read()
with an argument that indicates the position at which to begin.
A successful call to
audit_log_read()
to read events returns aJSON
string containing an array of audit events:If the final value of the returned array is not a
JSON
null
value, there are more events following those just read andaudit_log_read()
can be called again to read more of them.If the final value of the returned array is a
JSON
null
value, there are no more events left to be read in the current read sequence.
Each non-
null
array element is an event represented as aJSON
hash. For example:[ { "timestamp": "2020-05-18 13:39:33", "id": 0, "class": "connection", "event": "connect", ... }, { "timestamp": "2020-05-18 13:39:33", "id": 1, "class": "general", "event": "status", ... }, { "timestamp": "2020-05-18 13:39:33", "id": 2, "class": "connection", "event": "disconnect", ... }, null ]
For more information about JSON-format audit events, see JSON Audit Log File Format.
An
audit_log_read()
call to read events that does not specify a position produces an error under any of these conditions:A read sequence has not yet been initialized by passing a position to
audit_log_read()
.There are no more events left to be read in the current read sequence; that is,
audit_log_read()
previously returned an array ending with aJSON
null
value.The most recent read sequence has been closed by passing a
JSON
null
value toaudit_log_read()
.
To continue reading events in these cases, it is necessary to initialize a new read sequence by calling
audit_log_read()
with an argument that specifies a position.
To specify a position to
audit_log_read()
, pass a bookmark,
which is a JSON
hash containing
timestamp
and id
elements
that uniquely identify a particular event. Here is an example
bookmark, obtained by calling the
audit_log_read_bookmark()
function:
+-------------------------------------------------+ | audit_log_read_bookmark() | +-------------------------------------------------+ | { "timestamp": "2020-05-18 21:03:44", "id": 0 } | +-------------------------------------------------+
Passing the current bookmark to
audit_log_read()
initializes event
reading beginning at the bookmark position:
+-----------------------------------------------------------------------+ | audit_log_read(audit_log_read_bookmark()) | +-----------------------------------------------------------------------+ | [ {"timestamp":"2020-05-18 22:41:24","id":0,"class":"connection", ... | +-----------------------------------------------------------------------+
The argument to audit_log_read()
is optional. If present, it can be a
JSON
null
value to close the read sequence, or a
JSON
hash containing optional
items that indicate a read position and how much to read. The
following items are significant (other items are ignored):
timestamp
,id
: The position within the audit log of the first event to read. If the position is omitted from the argument, reading continues from the current position. Thetimestamp
andid
items together comprise a bookmark that uniquely identify a particular event. If anaudit_log_read()
argument includes either item, it must include both to completely specify a position or an error occurs.max_array_length
: The maximum number of events to read from the log. If this item is omitted, the default is to read to the end of the log or until the read buffer is full, whichever comes first.
A JSON
string returned from
either log-reading function can be manipulated as necessary.
Suppose that a call to obtain a bookmark produces this value:
+-------------------------------------------------+ | @mark | +-------------------------------------------------+ | { "timestamp": "2020-05-18 16:10:28", "id": 2 } | +-------------------------------------------------+
Calling audit_log_read()
with that
argument can return multiple events. To limit
audit_log_read()
to reading at
most N
events, add to the string a
max_array_length
item with that value. For
example, to read a single event, modify the string as follows:
+----------------------------------------------------------------------+ | @mark | +----------------------------------------------------------------------+ | {"id": 2, "timestamp": "2020-05-18 16:10:28", "max_array_length": 1} | +----------------------------------------------------------------------+
The modified string, when passed to
audit_log_read()
, produces a
result containing at most one event, no matter how many are
available.
To read a specific number of events beginning at the current
position, pass a JSON
hash that
includes a max_array_length
value but no
position. This statement invoked repeatedly returns five events
each time until no more events are available:
Prior to MySQL 8.0.19, string return values from audit log UDFs
are binary strings. To use a binary string with functions that
require a nonbinary string (such as functions that manipulate
JSON
values), convert it to a
nonbinary string. For example, before passing a bookmark to
JSON_SET()
, convert it to
utf8mb4
as follows:
That statement can be used even for MySQL 8.0.19 and higher; for those versions, it is essentially a no-op and is harmless.
To set a limit on the number of bytes that
audit_log_read()
reads, set the
audit_log_read_buffer_size
system variable. As of MySQL 8.0.12, this variable has a default
of 32KB and can be set at runtime. Each client should set its
session value of
audit_log_read_buffer_size
appropriately for its use of
audit_log_read()
.
Each call to audit_log_read()
returns as many available events as fit within the buffer size.
Events that do not fit within the buffer size are skipped and
generate warnings. Given this behavior, consider these factors
when assessing the proper buffer size for an application:
There is a tradeoff between number of calls to
audit_log_read()
and events returned per call:With a smaller buffer size, calls return fewer events, so more calls are needed.
With a larger buffer size, calls return more events, so fewer calls are needed.
With a smaller buffer size, such as the default size of 32KB, there is a greater chance that events will exceed the buffer size and be skipped.
Prior to MySQL 8.0.12,
audit_log_read_buffer_size
has
a default of 1MB, affects all clients, and can be changed only
at server startup.
For additional information about audit log-reading functions, see Audit Log Functions.
Document created the 26/06/2006, last modified the 26/10/2018
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