logging.yaml¶
The logging.yaml
file defines all custom log file formats, filters,
and processing options.
Important
This configuration file replaces the XML based logs_xml.config, as well as the Lua based logging.config from past Traffic Server releases. If you are upgrading from a Traffic Server release which used either the XML or the Lua configuration file format, and you have created custom log formats, filters, and destinations, you will need to update those settings to this format.
Log Definitions¶
Custom logs are configured by the combination of three key elements: a format, an optional filter, and a log destination.
A format defines how log lines will appear (as well as whether the logs using the format will be event logs or summary logs).
A filter defines what events do, and what events don’t, make it into the logs employing the filter.
A log defines where the record of events or summaries ends up.
Formats¶
Custom logging formats may be provided directly to a log definition, or they
may be defined as a reusable variable in your logging.yaml
for ease
of reference, particularly when you may have more than one log using the same
format. Which approach you use is entirely up to you, though it’s strongly
recommended to create an explicit format object if you intend to reuse the same
format for multiple log files.
Custom formats are defined by choosing a name
to identify the given logging
format, and a format
string, which defines the output format string for
every event. An optional interval
attribute can be specified to define the
aggregation interval for summary logs.
# A one-line-per-event format that just prints event timestamps.
formats:
- name: myformat
format: '%<cqtq>'
# An aggregation/summary format that prints the last event timestamp from
# the interval along with the total count of events in the same interval.
# (Doing so every 30 seconds.)
formats:
- name: mysummaryformat
format: '%<LAST(cqtq)> %<COUNT(*)>'
interval: 30
You may define as many and as varied a collection of format objects as you desire.
Format Specification¶
The format specification provided as the required format
attribute of the
objects listed in formats
is a simple string, containing whatever mixture
of logging field variables and literal characters meet your needs. Logging
fields are discussed in great detail in the Log Fields
section.
Flexible enough to not only emulate the logging formats of most other proxy and
HTTP servers, but also to provide even finer detail than many of them, the
logging fields are very easy to use. Within the format string, logging fields
are indicated by enclosing their name within angle brackets (<
and >
),
preceded by a percent symbol (%
). For example, returning to the altogether
too simple format shown earlier, the following format string:
'%<cqtq>'
Defines a format in which nothing but the value of the logging field cqtq is interpolated for each event’s entry in the log. We could include some literal characters in the log output by updating the format specification as so:
'Event received at %<cqtq>'
Because the string “Event received at ” (including the trailing space) is just
a bunch of characters, not enclosed in %<...>
, it is repeated verbatim in
the logging output.
Multiple logging fields may of course be used:
'%<cqtq> %<chi> %<cqhm> %<cqtx>'
Each logging field is separately enclosed in its own percent-brace set.
There are a small number of logging fields which extend this simple format, primarily those dealing with request and response headers. Instead of defining a separate logging field name for every single possible HTTP header (an impossible task, given that arbitrary vendor/application headers may be present in both requests and responses), there are instead single logging fields for each of the major stages of an event lifecycle that permit access to named headers, such as:
'%<{User-Agent}cqh>'
Which emits to the log the value of the client request’s User-Agent
HTTP
header. Other stages of the event lifecycle have similar logging fields:
pqh
(proxy requests), ssh
(origin server responses), and psh
(proxy responses).
You will find a complete listing of the available fields in Log Fields.
Aggregation Interval¶
Every format may be given an optional interval
value, specified as the
number of seconds over which events destined for a log using the format are
aggregated and summarized. Logs which use formats containing an aggregation
interval do not behave like regular logs, with a single line for every event.
Instead, they emit a single line only every interval-seconds.
These types of logs are described in more detail in Summary Logs.
Formats have no interval by default, and will generate event-based logs unless given one.
Filters¶
Two different type of filters are available: accept
and reject
. They
may be used, optionally, to accept or reject logging for matching events.
Filter objects are created by assigning them a name
to be used later to
refer to the filter, as well as an action
(either accept
or
reject
). Accept
and reject
filters require a condition
against
which to match all events. The condition
fields must be in the following
format:
<field> <operator> <value>
For example, the following snippet defines a filter that matches all POST requests:
filters:
- name: postfilter
action: accept
condition: cqhm MATCH POST
Filter Fields¶
The log fields have already been discussed in the Formats section above. For a reference to the available log field names, see Log Fields. Unlike with the log format specification, you do not wrap the log field names in any additional markup.
Filter Operators¶
The operators describe how to perform the matching in the filter rule, and may be any one of the following:
MATCH
True if the values of
field
andvalue
are identical. Case-sensitive.CASE_INSENSITIVE_MATCH
True if the values of
field
andvalue
are identical. Case-insensitive.CONTAIN
True if the value of
field
containsvalue
(i.e.value
is a substring of the contents offield
). Case-sensitive.CASE_INSENSITIVE_CONTAIN
True if the value of
field
containsvalue
(i.e.value
is a substring of the contents offield
). Case-insensitive.
Filter Values¶
The final component of a filter string specifies the value against which the name field will be compared.
For integer matches, all of the operators are effectively equivalent and require the field to be equal to the given integer. If you wish to match multiple integers, provide a comma separated list like this:
<field> <operator> 4,5,6,7
String matches work similarly to integer matches. Multiple matches are also supported via a comma separated list. For example:
<field> <operator> e1host,host2,hostz
For IP addresses, ranges may be specified by separating the first address and
the last of the range with a single -
dash, as 10.0.0.0-10.255.255.255
which gives the ranges for the 10/8 network. Other network notations are not
supported at this time.
Note
It may be tempting to attach multiple Filters to a log object reject multiple log fields (in lieu of providing a single comma separated list to a single Filter). Avoid this temptation and use a comma separated list of reject objects instead. Remember that you may not have multiple accept filter objects. Attaching multiple filters does the opposite of what you’d expect. If, for example, we had 2 accept log filters, each disjoint from the other, nothing will ever get logged on the given log object.
Logs¶
Up to this point, we’ve only described what events should be logged and what they should look like in the logging output. Now we define where those logs should be sent.
Three options currently exist for the type of logging output: ascii
,
binary
, and ascii_pipe
. Which type of logging output you choose
depends largely on how you intend to process the logs with other tools, and a
discussion of the merits of each is covered elsewhere, in
Deciding Between ASCII or Binary Output.
The following subsections cover the attributes you should specify when creating
your logging object. Only filename
and format
are required.
Name |
Type |
Description |
---|---|---|
filename |
string |
The name of the logfile relative to the default
logging directory (set with
|
format |
string |
a string with a valid named format specification. |
header |
string |
If present, emitted as the first line of each new log file. |
rolling_enabled |
see below |
Determines the type of log rolling to use (or
whether to disable rolling). Overrides
|
rolling_interval_sec |
number |
Interval in seconds between log file rolling.
Overrides
|
rolling_offset_hr |
number |
Specifies an hour (from 0 to 23) at which log
rolling is guaranteed to align. Only has an
effect if RollingIntervalSec is set to greater
than one hour. Overrides
|
rolling_size_mb |
number |
Size, in megabytes, at which log files are rolled. |
filters |
array of filters |
The optional list of filter objects which restrict the individual events logged. The array may only contain one accept filter. |
collation_hosts |
array of strings |
If present, one or more strings specifying the log collation hosts to which logs should be delivered, each in the form of “<ip>:<port>”. Log Collation for more information. NOTE: This is a deprecated feature, which will be removed in ATS v9.0.0. See the logging documentation (above) for more details. |
Enabling log rolling may be done globally in records.config
, or on a
per-log basis by passing appropriate values for the rolling_enabled
key. The
latter method may also be used to effect different rolling settings for
individual logs. The numeric values that may be passed are the same as used by
proxy.config.log.rolling_enabled
. For convenience and readability,
the following predefined variables may also be used in logging.yaml
:
- log.roll.none
Disable log rolling.
- log.roll.time
Roll at a certain time frequency, specified by RollingIntervalSec and RollingOffsetHr.
- log.roll.size
Roll when the size exceeds RollingSizeMb.
- log.roll.both
Roll when either the specified rolling time is reached or the specified file size is reached.
- log.roll.any
Roll the log file when the specified rolling time is reached if the size of the file equals or exceeds the specified size.
Examples¶
The following is an example of a format that collects information using three common fields:
formats:
- name: minimalfmt
format: '%<chi> : %<cqu> : %<pssc>'
The following is an example of a format that uses aggregate operators to produce a summary log:
formats:
- name: summaryfmt
format: '%<LAST(cqts)> : %<COUNT(*)> : %<SUM(psql)>'
interval: 10
The following is an example of a filter that will cause only REFRESH_HIT events to be logged:
filters:
- name: refreshhitfilter
action: accept
condition: pssc MATCH REFRESH_HIT
The following is an example of a log specification that creates a local log
file for the minimal format defined earlier. The log filename will be
minimal.log
because we select the ASCII logging format.
logs:
- mode: ascii
filename: minimal
format: minimalfmt
The following is an example of a log specification that creates a local log file using the summary format from earlier, and only includes events that matched the REFRESH_HIT filter we created.
logs:
- mode: ascii
filename: refreshhit_summary
format: summaryfmt
filters:
- refreshhitfilter