#
# This file contains possible attribute/value pairs for configuring Splunk's processing
# properties via props.conf.
#
# Props.conf is commonly used for:
#
# * Configuring linebreaking for multiline events.
# * Setting up character set encoding.
# * Allowing processing of binary files.
# * Configuring timestamp recognition.
# * Configuring event segmentation.
# * Overriding Splunk's automated host and source type matching. You can use props.conf to:
# * Configure advanced (regex-based) host and source type overrides.
# * Override source type matching for data from a particular source.
# * Set up rule-based source type recognition.
# * Rename source types.
# * Anonymizing certain types of sensitive incoming data, such as credit card or social
# security numbers, using sed scripts.
# * Routing specific events to a particular index, when you have multiple indexes.
# * Creating new index-time field extractions, including header-based field extractions.
# NOTE: We do not recommend adding to the set of fields that are extracted at index time
# unless it is absolutely necessary because there are negative performance implications.
# * Defining new search-time field extractions. You can define basic search-time field
# extractions entirely through props.conf. But a transforms.conf component is required if
# you need to create search-time field extractions that involve one or more of the following:
# * Reuse of the same field-extracting regular expression across multiple sources,
# source types, or hosts.
# * Application of more than one regex to the same source, source type, or host.
# * Delimiter-based field extractions (they involve field-value pairs that are
# separated by commas, colons, semicolons, bars, or something similar).
# * Extraction of multiple values for the same field (multivalued field extraction).
# * Extraction of fields with names that begin with numbers or underscores.
# * Setting up lookup tables that look up fields from external sources.
# * Creating field aliases.
#
# NOTE: Several of the above actions involve a corresponding transforms.conf configuration.
#
# You can find more information on these topics by searching the Splunk documentation
# (http://docs.splunk.com/Documentation/Splunk).
#
# There is a props.conf in $SPLUNK_HOME/etc/system/default/. To set custom configurations,
# place a props.conf in $SPLUNK_HOME/etc/system/local/. For help, see
# props.conf.example.
#
# You can enable configurations changes made to props.conf by typing the following search string
# in Splunk Web:
#
# | extract reload=T
#
# To learn more about configuration files (including precedence) please see the documentation
# located at http://docs.splunk.com/Documentation/Splunk/latest/Admin/Aboutconfigurationfiles
#
# For more information about using props.conf in conjunction with distributed Splunk
# deployments, see the Distributed Deployment Manual.
# GLOBAL SETTINGS
# Use the [default] stanza to define any global settings.
# * You can also define global settings outside of any stanza, at the top of the file.
# * Each conf file should have at most one default stanza. If there are multiple default
# stanzas, attributes are combined. In the case of multiple definitions of the same
# attribute, the last definition in the file wins.
# * If an attribute is defined at both the global level and in a specific stanza, the
# value in the specific stanza takes precedence.
[<spec>]
* This stanza enables properties for a given <spec>.
* A props.conf file can contain multiple stanzas for any number of different <spec>.
* Follow this stanza name with any number of the following attribute/value pairs, as appropriate
for what you want to do.
* If you do not set an attribute for a given <spec>, the default is used.
<spec> can be:
1. <sourcetype>, the source type of an event.
2. host::<host>, where <host> is the host, or host-matching pattern, for an event.
3. source::<source>, where <source> is the source, or source-matching pattern, for an event.
4. rule::<rulename>, where <rulename> is a unique name of a source type classification rule.
5. delayedrule::<rulename>, where <rulename> is a unique name of a delayed source type
classification rule.
These are only considered as a last resort before generating a new source type based on the
source seen.
**[<spec>] stanza precedence:**
For settings that are specified in multiple categories of matching [<spec>] stanzas,
[host::<host>] settings override [<sourcetype>] settings. Additionally,
[source::<source>] settings override both [host::<host>] and
[<sourcetype>] settings.
**Considerations for Windows file paths:**
When you specify Windows-based file paths as part of a [source::<source>] stanza, you must
escape any backslashes contained within the specified file path.
Example: [source::c:\\path_to\\file.txt]
**[<spec>] stanza patterns:**
When setting a [<spec>] stanza, you can use the following regex-type syntax:
... recurses through directories until the match is met.
* matches anything but / 0 or more times.
| is equivalent to 'or'
( ) are used to limit scope of |.
Example: [source::....(?<!tar.)(gz|tgz)]
**[source::<source>] and [host::<host>] stanza match language:**
Match expressions must match the entire name, not just a substring. If you are familiar
with regular expressions, match expressions are based on a full implementation of PCRE with the
translation of ..., * and . Thus . matches a period, * matches non-directory separators,
and ... matches any number of any characters.
For more information see the wildcards section at:
http://docs.splunk.com/Documentation/Splunk/latest/Data/Specifyinputpathswithwildcards
**[<spec>] stanza pattern collisions:**
Suppose the source of a given input matches multiple [source::<source>] patterns. If the
[<spec>] stanzas for these patterns each supply distinct settings, Splunk applies all of these
settings.
However, suppose two [<spec>] stanzas supply the same setting. In this case, Splunk chooses
the value to apply based on the ASCII order of the patterns in question.
For example, take this source:
source::az
and the following colliding patterns:
[source::...a...]
sourcetype = a
[source::...z...]
sourcetype = z
In this case, the settings provided by the pattern [source::...a...] take precedence over those
provided by [source::...z...], and sourcetype ends up with "a" as its value.
To override this default ASCII ordering, use the priority key:
[source::...a...]
sourcetype = a
priority = 5
[source::...z...]
sourcetype = z
priority = 10
Assigning a higher priority to the second stanza causes sourcetype to have the value "z".
**Case-sensitivity for [<spec>] stanza matching:**
By default, [source::<source>] and [<sourcetype>] stanzas match in a case-sensitive manner,
while [host::<host>] stanzas match in a case-insensitive manner. This is a convenient default,
given that DNS names are case-insensitive.
To force a [host::<host>] stanza to match in a case-sensitive manner use the "(?-i)" option in
its pattern.
For example:
[host::foo]
FIELDALIAS-a = a AS one
[host::(?-i)bar]
FIELDALIAS-b = b AS two
The first stanza will actually apply to events with host values of "FOO" or
"Foo" . The second stanza, on the other hand, will not apply to events with
host values of "BAR" or "Bar".
**Building the final [<spec>] stanza:**
The final [<spec>] stanza is built by layering together (1) literal-matching stanzas (stanzas
which match the string literally) and (2) any regex-matching stanzas, according to the value of
the priority field.
If not specified, the default value of the priority key is:
* 0 for pattern-matching stanzas.
* 100 for literal-matching stanzas.
NOTE: Setting the priority key to a value greater than 100 causes the pattern-matched [<spec>]
stanzas to override the values of the literal-matching [<spec>] stanzas.
The priority key can also be used to resolve collisions between [<sourcetype>] patterns and
[host::<host>] patterns. However, be aware that the priority key does *not* affect precedence
across <spec> types. For example, [<spec>] stanzas with [source::<source>] patterns take
priority over stanzas with [host::<host>] and [<sourcetype>] patterns, regardless of their
respective priority key values.
#******************************************************************************
# The possible attributes/value pairs for props.conf, and their
# default values, are:
#******************************************************************************
# International characters and character encoding.
CHARSET = <string>
* 로그의 문자열에 대한 설정.
* 기본값은 ASCII임.
* When set, Splunk assumes the input from the given [<spec>] is in the specified encoding.
* Can only be used as the basis of [<sourcetype>] or [source::<spec>], not [host::<spec>].
* A list of valid encodings can be retrieved using the command "iconv -l" on most *nix systems.
* If an invalid encoding is specified, a warning is logged during initial configuration and
further input from that [<spec>] is discarded.
* If the source encoding is valid, but some characters from the [<spec>] are not valid in the
specified encoding, then the characters are escaped as hex (for example, "\xF3").
* When set to "AUTO", Splunk attempts to automatically determine the character encoding and
convert text from that encoding to UTF-8.
* For a complete list of the character sets Splunk automatically detects, see the online
documentation.
* Defaults to ASCII.
#******************************************************************************
# Line breaking
#******************************************************************************
# Use the following attributes to define the length of a line.
TRUNCATE = <non-negative integer>
* 한 줄의 최대 bytes 설정.
* 기본 10,000 bytes 이며, 0으로 설정 시 trunacation하지 않음.
* Change the default maximum line length (in bytes).
* Although this is in bytes, line length is rounded down when this would
otherwise land mid-character for multi-byte characters.
* Set to 0 if you never want truncation (very long lines are, however, often a sign of
garbage data).
* Defaults to 10000 bytes.
LINE_BREAKER = <regular expression>
* 한 줄의 마지막 형태를 regex로 설정.
* 이벤트의 정규화를 통해 각 이벤트에 대한 구분 설정 가능.
* Specifies a regex that determines how the raw text stream is broken into initial events,
before line merging takes place. (See the SHOULD_LINEMERGE attribute, below)
* Defaults to ([\r\n]+), meaning data is broken into an event for each line, delimited by
any number of carriage return or newline characters.
* The regex must contain a capturing group -- a pair of parentheses which
defines an identified subcomponent of the match.
* Wherever the regex matches, Splunk considers the start of the first
capturing group to be the end of the previous event, and considers the end
of the first capturing group to be the start of the next event.
* The contents of the first capturing group are discarded, and will not be
present in any event. You are telling Splunk that this text comes between
lines.
* NOTE: You get a significant boost to processing speed when you use LINE_BREAKER to delimit
multiline events (as opposed to using SHOULD_LINEMERGE to reassemble individual lines into
multiline events).
* When using LINE_BREAKER to delimit events, SHOULD_LINEMERGE should be set
to false, to ensure no further combination of delimited events occurs.
* Using LINE_BREAKER to delimit events is discussed in more detail in the web
documentation at the following url:
http://docs.splunk.com/Documentation/Splunk/latest/Data/indexmulti-lineevents
** Special considerations for LINE_BREAKER with branched expressions **
When using LINE_BREAKER with completely independent patterns separated by
pipes, some special issues come into play.
EG. LINE_BREAKER = pattern1|pattern2|pattern3
Note, this is not about all forms of alternation, eg there is nothing
particular special about
example: LINE_BREAKER = ([\r\n])+(one|two|three)
where the top level remains a single expression.
A caution: Relying on these rules is NOT encouraged. Simpler is better, in
both regular expressions and the complexity of the behavior they rely on.
If possible, it is strongly recommended that you reconstruct your regex to
have a leftmost capturing group that always matches.
It may be useful to use non-capturing groups if you need to express a group
before the text to discard.
EG. LINE_BREAKER = (?:one|two)([\r\n]+)
* This will match the text one, or two, followed by any amount of newlines
or carriage returns. The one-or-two group is non-capturing via the ?:
prefix and will be skipped by LINE_BREAKER.
* A branched expression can match without the first capturing group matching,
so the line breaker behavior becomes more complex.
Rules:
1: If the first capturing group is part of a match, it is considered the
linebreak, as normal.
2: If the first capturing group is not part of a match, the leftmost
capturing group which is part of a match will be considered the linebreak.
3: If no capturing group is part of the match, the linebreaker will assume
that the linebreak is a zero-length break immediately preceding the match.
Example 1: LINE_BREAKER = end(\n)begin|end2(\n)begin2|begin3
* A line ending with 'end' followed a line beginning with 'begin' would
match the first branch, and the first capturing group would have a match
according to rule 1. That particular newline would become a break
between lines.
* A line ending with 'end2' followed by a line beginning with 'begin2'
would match the second branch and the second capturing group would have a
match. That second capturing group would become the linebreak according
to rule 2, and the associated newline would become a break between lines.
* The text 'begin3' anywhere in the file at all would match the third
branch, and there would be no capturing group with a match. A linebreak
would be assumed immediately prior to the text 'begin3' so a linebreak
would be inserted prior to this text in accordance with rule 3.
This means that a linebreak will occur before the text 'begin3' at any
point in the text, whether a linebreak character exists or not.
Example 2: Example 1 would probably be better written as follows. This is
not equivalent for all possible files, but for most real files
would be equivalent.
LINE_BREAKER = end2?(\n)begin(2|3)?
LINE_BREAKER_LOOKBEHIND = <integer>
* When there is leftover data from a previous raw chunk, LINE_BREAKER_LOOKBEHIND indicates the
number of bytes before the end of the raw chunk (with the next chunk concatenated) that
Splunk applies the LINE_BREAKER regex. You may want to increase this value from its default
if you are dealing with especially large or multiline events.
* Defaults to 100 (bytes).
# Use the following attributes to specify how multiline events are handled.
SHOULD_LINEMERGE = [true|false]
* 다수 라인(multiline)의 이벤트를 위한 설정.
* true일 경우 LINE_BREAKER 옵션에 따라 하나의 이벤트를 인식함.
* When set to true, Splunk combines several lines of data into a single multiline event, based
on the following configuration attributes.
* Defaults to true.
# When SHOULD_LINEMERGE is set to true, use the following attributes to define how Splunk builds
# multiline events.
BREAK_ONLY_BEFORE_DATE = [true|false]
* When set to true, Splunk creates a new event only if it encounters a new line with a date.
* Note, when using DATETIME_CONFIG = CURRENT or NONE, this setting is not meaningful, as
timestamps are not identified.
* Defaults to true.
BREAK_ONLY_BEFORE = <regular expression>
* When set, Splunk creates a new event only if it encounters a new line that matches the
regular expression.
* Defaults to empty.
MUST_BREAK_AFTER = <regular expression>
* When set and the regular expression matches the current line, Splunk creates a new event for
the next input line.
* Splunk may still break before the current line if another rule matches.
* Defaults to empty.
MUST_NOT_BREAK_AFTER = <regular expression>
* When set and the current line matches the regular expression, Splunk does not break on any
subsequent lines until the MUST_BREAK_AFTER expression matches.
* Defaults to empty.
MUST_NOT_BREAK_BEFORE = <regular expression>
* When set and the current line matches the regular expression, Splunk does not break the
last event before the current line.
* Defaults to empty.
MAX_EVENTS = <integer>
* 다수 라인(multiline)의 이벤트의 경우 최대 라인 수를 설정.
* 기본값은 256 (lines)임.
* Specifies the maximum number of input lines to add to any event.
* Splunk breaks after the specified number of lines are read.
* Defaults to 256 (lines).
#******************************************************************************
# Timestamp extraction configuration
#******************************************************************************
DATETIME_CONFIG = <filename relative to $SPLUNK_HOME>
* Specifies which file configures the timestamp extractor, which identifies timestamps from the
event text.
* This configuration may also be set to "NONE" to prevent the timestamp extractor from running
or "CURRENT" to assign the current system time to each event.
* "CURRENT" will set the time of the event to the time that the event was merged from lines, or
worded differently, the time it passed through the aggregator processor.
* "NONE" will leave the event time set to whatever time was selected by the input layer
* For data sent by splunk forwarders over the splunk protocol, the input layer will be the time
that was selected on the forwarder by its input behavior (as below).
* For file-based inputs (monitor, batch) the time chosen will be the modification timestamp on
the file being read.
* For other inputs, the time chosen will be the current system time when the event is read from
the pipe/socket/etc.
* Both "CURRENT" and "NONE" explicitly disable the per-text timestamp identification, so
the default event boundary detection (BREAK_ONLY_BEFORE_DATE = true) is likely to not work as
desired. When using these settings, use SHOULD_LINEMERGE and/or the BREAK_ONLY_* , MUST_BREAK_*
settings to control event merging.
* Defaults to /etc/datetime.xml (for example, $SPLUNK_HOME/etc/datetime.xml).
TIME_PREFIX = <regular expression>
* Time 필드 혹은 Time 정보의 Prefix regex를 설정.
* If set, splunk scans the event text for a match for this regex in event text before attempting
to extract a timestamp.
* The timestamping algorithm only looks for a timestamp in the text following the end of the
first regex match.
* For example, if TIME_PREFIX is set to "abc123", only text following the first occurrence of the
text abc123 will be used for timestamp extraction.
* If the TIME_PREFIX cannot be found in the event text, timestamp extraction will not occur.
* Defaults to empty.
MAX_TIMESTAMP_LOOKAHEAD = <integer>
* Specifies how far (in characters) into an event Splunk should look for a timestamp.
* This constraint to timestamp extraction is applied from the point of the TIME_PREFIX-set location.
* For example, if TIME_PREFIX positions a location 11 characters into the event, and
MAX_TIMESTAMP_LOOKAHEAD is set to 10, timestamp extraction will be constrained to characters
11 through 20.
* If set to 0, or -1, the length constraint for timestamp recognition is
effectively disabled. This can have negative performance implications which
scale with the length of input lines (or with event size when LINE_BREAKER
is redefined for event splitting).
* Defaults to 150 (characters).
TIME_FORMAT = <strptime-style format>
* 실제 Time 정보의 형태를 설정.
* Specifies a strptime format string to extract the date.
* strptime is an industry standard for designating time formats.
* For more information on strptime, see "Configure timestamp recognition" in
the online documentation.
* TIME_FORMAT starts reading after the TIME_PREFIX. If both are specified, the TIME_PREFIX
regex must match up to and including the character before the TIME_FORMAT date.
* For good results, the <strptime-style format> should describe the day of the year and the
time of day.
* Defaults to empty.
TZ = <timezone identifier>
* 해당 Time이 어떠한 Timezone인지 설정.
* The algorithm for determining the time zone for a particular event is as follows:
* If the event has a timezone in its raw text (for example, UTC, -08:00), use that.
* If TZ is set to a valid timezone string, use that.
* Otherwise, use the timezone of the system that is running splunkd.
* Defaults to empty.
TZ_ALIAS = <key=value>[,<key=value>]...
* Provides splunk admin-level control over how timezone strings extracted from events are
interpreted.
* For example, EST can mean Eastern (US) Standard time, or Eastern (Australian) Standard time.
There are many other three letter timezone acronyms with many expansions.
* There is no requirement to use TZ_ALIAS if the traditional Splunk default mappings for these
values have been as expected. For example, EST maps to the Eastern US by default.
* Has no effect on TZ value; this only affects timezone strings from event text, either from
any configured TIME_FORMAT, or from pattern-based guess fallback.
* The setting is a list of key=value pairs, separated by commas.
* The key is matched against the text of the timezone specifier of the event, and the value is the
timezone specifier to use when mapping the timestamp to UTC/GMT.
* The value is another TZ specifier which expresses the desired offset.
* Example: TZ_ALIAS = EST=GMT+10:00 (See props.conf.example for more/full examples)
* Defaults to unset.
MAX_DAYS_AGO = <integer>
* Specifies the maximum number of days past, from the current date, that an extracted date
can be valid.
* For example, if MAX_DAYS_AGO = 10, Splunk ignores dates that are older than 10 days ago.
* Defaults to 2000 (days), maximum 10951.
* IMPORTANT: If your data is older than 2000 days, increase this setting.
MAX_DAYS_HENCE = <integer>
* Specifies the maximum number of days in the future from the current date that an extracted
date can be valid.
* For example, if MAX_DAYS_HENCE = 3, dates that are more than 3 days in the future are ignored.
* The default value includes dates from one day in the future.
* If your servers have the wrong date set or are in a timezone that is one day ahead, increase
this value to at least 3.
* Defaults to 2 (days), maximum 10950.
* IMPORTANT:False positives are less likely with a tighter window, change with caution.
MAX_DIFF_SECS_AGO = <integer>
* If the event's timestamp is more than <integer> seconds BEFORE the previous timestamp, only
accept the event if it has the same exact time format as the majority of timestamps from the
source.
* IMPORTANT: If your timestamps are wildly out of order, consider increasing this value.
* Note: if the events contain time but not date (date determined another way, such as from a
filename) this check will only consider the hour. (No one second granularity for this purpose.)
* Defaults to 3600 (one hour), maximum 2147483646.
MAX_DIFF_SECS_HENCE = <integer>
* If the event's timestamp is more than <integer> seconds AFTER the previous timestamp, only
accept the event if it has the same exact time format as the majority of timestamps from the
source.
* IMPORTANT: If your timestamps are wildly out of order, or you have logs that are written
less than once a week, consider increasing this value.
* Defaults to 604800 (one week), maximum 2147483646.
#******************************************************************************
# Structured Data Header Extraction and configuration
#******************************************************************************
INDEXED_EXTRACTIONS = < CSV|W3C|TSV|PSV >
* Specifies Splunk the type of file and the extraction and/or parsing method Splunk should use
on the file.
* The default value is set to CSV.
PREAMBLE_REGEX = <regex>
* Some files contain preamble lines. This attribute specifies a regular expression which
allows Splunk to ignore these preamble lines, based on the pattern specified.
FIELD_HEADER_REGEX = <regex>
* A regular expression that specifies a pattern for prefixed headers. Note that the actual header
starts after the pattern and it is not included in the header field.
* Special characters are supported in this attribute.
HEADER_FIELD_LINE_NUMBER = <integer>
* Specifies Splunk the line number of the line within the file that contains the header fields.
If set to 0, Splunk attempts to locate the header fields within the file automatically.
* The default value is set to 0.
FIELD_DELIMITER = <character>
* Specifies Splunk which character delimits or separates fields in the specified file or source.
* Special characters are supported in this attribute.
FIELD_QUOTE = <character>
* Specifies Splunk the character to use for quotes in the specified file or source.
* Special characters are supported in this attribute.
TIMESTAMP_FIELDS = [ <string>,..., <string>]
* Some CSV and structured files have their timestamp encompass multiple fields in the event
separated by delimiters. This attribue tells Splunk to specify all such fields which
constitute the timestamp in a comma-separated fashion.
* If not specified, splunk tries to automatically extract the timestamp of the event.
FIELD_NAMES = [ <string>,..., <string>]
* Some CSV and structured files might have missing headers. This attribute tells Splunk to
specify the header field names directly.
#******************************************************************************
# Field extraction configuration
#******************************************************************************
NOTE: If this is your first time configuring field extractions in props.conf, review
the following information first.
There are three different "field extraction types" that you can use to configure field
extractions: TRANSFORMS, REPORT, and EXTRACT. They differ in two significant ways: 1) whether
they create indexed fields (fields extracted at index time) or extracted fields (fields
extracted at search time), and 2), whether they include a reference to an additional component
called a "field transform," which you define separately in transforms.conf.
**Field extraction configuration: index time versus search time**
Use the TRANSFORMS field extraction type to create index-time field extractions. Use the
REPORT or EXTRACT field extraction types to create search-time field extractions.
NOTE: Index-time field extractions have performance implications. Creating additions to
Splunk's default set of indexed fields is ONLY recommended in specific circumstances.
Whenever possible, extract fields only at search time.
There are times when you may find that you need to change or add to your set of indexed
fields. For example, you may have situations where certain search-time field extractions are
noticeably impacting search performance. This can happen when the value of a search-time
extracted field exists outside of the field more often than not. For example, if you commonly
search a large event set with the expression company_id=1 but the value 1 occurs in many
events that do *not* have company_id=1, you may want to add company_id to the list of fields
extracted by Splunk at index time. This is because at search time, Splunk will want to check
each instance of the value 1 to see if it matches company_id, and that kind of thing slows
down performance when you have Splunk searching a large set of data.
Conversely, if you commonly search a large event set with expressions like company_id!=1
or NOT company_id=1, and the field company_id nearly *always* takes on the value 1, you
may want to add company_id to the list of fields extracted by Splunk at index time.
For more information about index-time field extraction, search the documentation for
"index-time extraction." For more information about search-time field extraction, search
the online documentation for "search-time extraction."
**Field extraction configuration: field transforms vs. "inline" (props.conf only) configs**
The TRANSFORMS and REPORT field extraction types reference an additional component called
a field transform, which you define separately in transforms.conf. Field transforms contain
a field-extracting regular expression and other attributes that govern the way that the
transform extracts fields. Field transforms are always created in conjunction with field
extraction stanzas in props.conf; they do not stand alone.
The EXTRACT field extraction type is considered to be "inline," which means that it does
not reference a field transform. It contains the regular expression that Splunk uses to
extract fields at search time. You can use EXTRACT to define a field extraction entirely
within props.conf--no transforms.conf component is required.
**Search-time field extractions: Why use REPORT if EXTRACT will do?**
It's a good question. And much of the time, EXTRACT is all you need for search-time field
extraction. But when you build search-time field extractions, there are specific cases that
require the use of REPORT and the field transform that it references. Use REPORT if you want
to:
* Reuse the same field-extracting regular expression across multiple sources, source
types, or hosts. If you find yourself using the same regex to extract fields across
several different sources, source types, and hosts, set it up as a transform, and then
reference it in REPORT extractions in those stanzas. If you need to update the regex
you only have to do it in one place. Handy!
* Apply more than one field-extracting regular expression to the same source, source
type, or host. This can be necessary in cases where the field or fields that you want
to extract from a particular source, source type, or host appear in two or more very
different event patterns.
* Use a regular expression to extract fields from the values of another field (also
referred to as a "source key").
* Set up delimiter-based field extractions. Useful if your event data presents
field-value pairs (or just field values) separated by delimiters such as commas,
spaces, bars, and so on.
* Configure extractions for multivalued fields. You can have Splunk append additional
values to a field as it finds them in the event data.
* Extract fields with names beginning with numbers or underscores. Ordinarily, Splunk's
key cleaning functionality removes leading numeric characters and underscores from
field names. If you need to keep them, configure your field transform to turn key
cleaning off.
* Manage formatting of extracted fields, in cases where you are extracting multiple fields,
or are extracting both the field name and field value.
**Precedence rules for TRANSFORMS, REPORT, and EXTRACT field extraction types**
* For each field extraction, Splunk takes the configuration from the highest precedence
configuration stanza (see precedence rules at the beginning of this file).
* If a particular field extraction is specified for a source and a source type, the field
extraction for source wins out.
* Similarly, if a particular field extraction is specified in ../local/ for a <spec>, it
overrides that field extraction in ../default/.
TRANSFORMS-<class> = <transform_stanza_name>, <transform_stanza_name2>,...
* 데이터 변경을 위한 TRANSFORMS 클래스 설정.
* 해당 설정의 transform_stanza_name은 transforms.conf에 정의되어야 함.
* Used for creating indexed fields (index-time field extractions).
* <class> is a unique literal string that identifies the namespace of the field you're extracting.
**Note:** <class> values do not have to follow field name syntax restrictions. You can use
characters other than a-z, A-Z, and 0-9, and spaces are allowed. <class> values are not subject
to key cleaning.
* <transform_stanza_name> is the name of your stanza from transforms.conf.
* Use a comma-separated list to apply multiple transform stanzas to a single TRANSFORMS
extraction. Splunk applies them in the list order. For example, this sequence ensures that
the [yellow] transform stanza gets applied first, then [blue], and then [red]:
[source::color_logs]
TRANSFORMS-colorchange = yellow, blue, red
REPORT-<class> = <transform_stanza_name>, <transform_stanza_name2>,...
* Used for creating extracted fields (search-time field extractions) that reference one or more
transforms.conf stanzas.
* <class> is a unique literal string that identifies the namespace of the field you're extracting.
**Note:** <class> values do not have to follow field name syntax restrictions. You can use
characters other than a-z, A-Z, and 0-9, and spaces are allowed. <class> values are not subject
to key cleaning.
* <transform_stanza_name> is the name of your stanza from transforms.conf.
* Use a comma-separated list to apply multiple transform stanzas to a single REPORT extraction.
Splunk applies them in the list order. For example, this sequence insures that the [yellow]
transform stanza gets applied first, then [blue], and then [red]:
[source::color_logs]
REPORT-colorchange = yellow, blue, red
EXTRACT-<class> = [<regex>|<regex> in <src_field>]
* 필드 추출에 대한 설정.
* Used to create extracted fields (search-time field extractions) that do not reference
transforms.conf stanzas.
* Performs a regex-based field extraction from the value of the source field.
* <class> is a unique literal string that identifies the namespace of the field you're extracting.
**Note:** <class> values do not have to follow field name syntax restrictions. You can use
characters other than a-z, A-Z, and 0-9, and spaces are allowed. <class> values are not subject
to key cleaning.
* The <regex> is required to have named capturing groups. When the <regex> matches, the named
capturing groups and their values are added to the event.
* Use '<regex> in <src_field>' to match the regex against the values of a specific field.
Otherwise it just matches against _raw (all raw event data).
* NOTE: <src_field> can only contain alphanumeric characters (a-z, A-Z, and 0-9).
* If your regex needs to end with 'in <string>' where <string> is *not* a field name, change
the regex to end with '[i]n <string>' to ensure that Splunk doesn't try to match <string>
to a field name.
KV_MODE = [none|auto|auto_escaped|multi|json|xml]
* Key-Value 모드를 설정.
* Used for search-time field extractions only.
* Specifies the field/value extraction mode for the data.
* Set KV_MODE to one of the following:
* none: if you want no field/value extraction to take place.
* auto: extracts field/value pairs separated by equal signs.
* auto_escaped: extracts fields/value pairs separated by equal signs and honors \" and \\
as escaped sequences within quoted values, e.g field="value with \"nested\" quotes"
* multi: invokes the multikv search command to expand a tabular event into multiple events.
* xml : automatically extracts fields from XML data.
* json: automatically extracts fields from JSON data.
* Setting to 'none' can ensure that one or more user-created regexes are not overridden by
automatic field/value extraction for a particular host, source, or source type, and also
increases search performance.
* Defaults to auto.
* The 'xml' and 'json' modes will not extract any fields when used on data that isn't of the
correct format (JSON or XML).
CHECK_FOR_HEADER = [true|false]
* Used for index-time field extractions only.
* Set to true to enable header-based field extraction for a file.
* If the file has a list of columns and each event contains a field value (without field name),
Splunk picks a suitable header line to use to for extracting field names.
* If the file has a list of columns and each event contains a field value (without a field
name), Splunk picks a suitable header line to use for field extraction.
* Can only be used on the basis of [<sourcetype>] or [source::<spec>], not [host::<spec>].
* Disabled when LEARN_SOURCETYPE = false.
* Will cause the indexed source type to have an appended numeral; for example, sourcetype-2,
sourcetype-3, and so on.
* The field names are stored in etc/apps/learned/local/props.conf.
* Because of this, this feature will not work in most environments where the
data is forwarded.
* Defaults to false.
SEDCMD-<class> = <sed script>
* Only used at index time.
* Commonly used to anonymize incoming data at index time, such as credit card or social
security numbers. For more information, search the online documentation for "anonymize
data."
* Used to specify a sed script which Splunk applies to the _raw field.
* A sed script is a space-separated list of sed commands. Currently the following subset of
sed commands is supported:
* replace (s) and character substitution (y).
* Syntax:
* replace - s/regex/replacement/flags
* regex is a perl regular expression (optionally containing capturing groups).
* replacement is a string to replace the regex match. Use \n for backreferences,
where "n" is a single digit.
* flags can be either: g to replace all matches, or a number to replace a specified
match.
* substitute - y/string1/string2/
* substitutes the string1[i] with string2[i]
LOOKUP-<class> = $TRANSFORM (<match_field> (AS <match_field_in_event>)?)+ (OUTPUT|OUTPUTNEW
(<output_field> (AS <output_field_in_event>)? )+ )?
* At search time, identifies a specific lookup table and describes how that lookup table should
be applied to events.
* <match_field> specifies a field in the lookup table to match on.
* By default Splunk looks for a field with that same name in the event to match with
(if <match_field_in_event> is not provided)
* You must provide at least one match field. Multiple match fields are allowed.
* <output_field> specifies a field in the lookup entry to copy into each matching event,
where it will be in the field <output_field_in_event>.
* If you do not specify an <output_field_in_event> value, Splunk uses <output_field>.
* A list of output fields is not required.
* If they are not provided, all fields in the lookup table except for the match fields (and
the timestamp field if it is specified) will be output for each matching event.
* If the output field list starts with the keyword "OUTPUTNEW" instead of "OUTPUT",
then each outputfield is only written out if it did not previous exist. Otherwise,
the output fields are always overridden. Any event that has all of the <match_field> values
but no matching entry in the lookup table clears all of the output fields.
NOTE that OUTPUTNEW behavior has changed since 4.1.x (where *none* of the output fields were
written to if *any* of the output fields previously existed)
* The LOOKUP- prefix is actually case-insensitive. Acceptable variants include:
LOOKUP_<class> = [...]
LOOKUP<class> = [...]
lookup_<class> = [...]
lookup<class> = [...]
FIELDALIAS-<class> = (<orig_field_name> AS <new_field_name>)+
* 필드 별칭 설정.
* Use this to apply aliases to a field. The original field is not removed. This just means
that the original field can be searched on using any of its aliases.
* You can create multiple aliases for the same field.
* <orig_field_name> is the original name of the field.
* <new_field_name> is the alias to assign to the field.
* You can include multiple field alias renames in the same stanza.
* Field aliasing is performed at search time, after field extraction, but before lookups.
This means that:
* Any field extracted at search time can be aliased.
* You can specify a lookup based on a field alias.
EVAL-<fieldname> = <eval statement>
* Use this to automatically run the <eval statement> and assign the
value of the output to <fieldname>. This feature is referred to as 'calculated fields'.
* When multiple EVAL-* statements are specified, they behave as if
they are run in parallel, rather than in any particular sequence.
This means that if you have e.g. EVAL-x=y*2, EVAL-y=100, x will be
assigned the original value of y * 2, not the value of y after it is set to 100.
* All field calculations will done after field aliasing but before lookups. This
means you can lookup based on the value of a calculated field
#******************************************************************************
# Binary file configuration
#******************************************************************************
NO_BINARY_CHECK = [true|false]
* 바이너리 파일에 대한 설정.
* 기본은 false로 바이너리 파일을 무시하게 됨.
* When set to true, Splunk processes binary files.
* Can only be used on the basis of [<sourcetype>], or [source::<source>], not [host::<host>].
* Defaults to false (binary files are ignored).
detect_trailing_nulls = [auto|true|false]
* When enabled, Splunk will try to avoid reading in null bytes at the end of a file.
* When false, splunk will assume that all the bytes in the file should be read and indexed.
* Set this value to false for UTF-16 and other encodings (CHARSET) values that
can have null bytes as part of the character text.
* Subtleties of 'true' vs 'auto':
* 'true' is the splunk-on-windows historical behavior of trimming all null bytes.
* 'auto' is currently a synonym for true but will be extended to be sensitive
to the charset selected (ie quantized for multi-byte encodings, and
disabled for unsafe variable-width encdings)
* This feature was introduced to work around programs which foolishly
pre-allocate their log files with nulls and fill in data later. The
well-known case is Internet Information Server.
* Defaults to false on *nix, true on windows.
#******************************************************************************
# Segmentation configuration
#******************************************************************************
SEGMENTATION = <segmenter>
* Specifies the segmenter from segmenters.conf to use at index time for the host,
source, or sourcetype specified by <spec> in the stanza heading.
* Defaults to indexing.
SEGMENTATION-<segment selection> = <segmenter>
* Specifies that Splunk Web should use the specific segmenter (from segmenters.conf) for the
given <segment selection> choice.
* Default <segment selection> choices are: all, inner, outer, raw. For more information
see the Admin Manual.
* Do not change the set of default <segment selection> choices, unless you have some overriding
reason for doing so. In order for a changed set of <segment selection> choices to appear in
Splunk Web, you will need to edit the Splunk Web UI.
#******************************************************************************
# File checksum configuration
#******************************************************************************
CHECK_METHOD = [endpoint_md5|entire_md5|modtime]
* Set CHECK_METHOD endpoint_md5 to have Splunk checksum of the first and last 256 bytes of a
file. When it finds matches, Splunk lists the file as already indexed and indexes only new
data, or ignores it if there is no new data.
* Set CHECK_METHOD = entire_md5 to use the checksum of the entire file.
* Set CHECK_METHOD = modtime to check only the modification time of the file.
* Settings other than endpoint_md5 cause Splunk to index the entire file for each detected
change.
* Defaults to endpoint_md5.
* Important: this option is only valid for [source::<source>] stanzas.
initCrcLength = <integer>
* See documentation in inputs.conf.spec.
#******************************************************************************
# Small file settings
#******************************************************************************
PREFIX_SOURCETYPE = [true|false]
* NOTE: this attribute is only relevant to the "[too_small]" sourcetype.
* Determines the source types that are given to files smaller than 100 lines, and are therefore
not classifiable.
* PREFIX_SOURCETYPE = false sets the source type to "too_small."
* PREFIX_SOURCETYPE = true sets the source type to "<sourcename>-too_small", where "<sourcename>"
is a cleaned up version of the filename.
* The advantage of PREFIX_SOURCETYPE = true is that not all small files are classified as
the same source type, and wildcard searching is often effective.
* For example, a Splunk search of "sourcetype=access*" will retrieve "access" files as well
as "access-too_small" files.
* Defaults to true.
#******************************************************************************
# Sourcetype configuration
#******************************************************************************
sourcetype = <string>
* Can only be set for a [source::...] stanza.
* Anything from that <source> is assigned the specified source type.
* Defaults to empty.
# The following attribute/value pairs can only be set for a stanza that begins
# with [<sourcetype>]:
rename = <string>
* Renames [<sourcetype>] as <string>
* With renaming, you can search for the [<sourcetype>] with sourcetype=<string>
* To search for the original source type without renaming it, use the field _sourcetype.
* Data from a a renamed sourcetype will only use the search-time configuration for the target
sourcetype. Field extractions (REPORTS/EXTRAXCT) for this stanza sourcetype will be ignored.
* Defaults to empty.
invalid_cause = <string>
* Can only be set for a [<sourcetype>] stanza.
* Splunk does not index any data with invalid_cause set.
* Set <string> to "archive" to send the file to the archive processor (specified in
unarchive_cmd).
* Set to any other string to throw an error in the splunkd.log if you are running
Splunklogger in debug mode.
* Defaults to empty.
is_valid = [true|false]
* Automatically set by invalid_cause.
* DO NOT SET THIS.
* Defaults to true.
unarchive_cmd = <string>
* Only called if invalid_cause is set to "archive".
* This field is only valid on [source::<source>] stanzas.
* <string> specifies the shell command to run to extract an archived source.
* Must be a shell command that takes input on stdin and produces output on stdout.
* Use _auto for Splunk's automatic handling of archive files (tar, tar.gz, tgz, tbz, tbz2, zip)
* Defaults to empty.
unarchive_sourcetype = <string>
* Sets the source type of the contents of the matching archive file. Use this field instead
of the sourcetype field to set the source type of archive files that have the following
extensions: gz, bz, bz2, Z.
* If this field is empty (for a matching archive file props lookup) Splunk strips off the
archive file's extension (.gz, bz etc) and lookup another stanza to attempt to determine the
sourcetype.
* Defaults to empty.
LEARN_SOURCETYPE = [true|false]
* Determines whether learning of known or unknown sourcetypes is enabled.
* For known sourcetypes, refer to LEARN_MODEL.
* For unknown sourcetypes, refer to the rule:: and delayedrule:: configuration (see below).
* Setting this field to false disables CHECK_FOR_HEADER as well (see above).
* Defaults to true.
LEARN_MODEL = [true|false]
* For known source types, the file classifier adds a model file to the learned directory.
* To disable this behavior for diverse source types (such as sourcecode, where there is no good
exemplar to make a sourcetype) set LEARN_MODEL = false.
* Defaults to false.
maxDist = <integer>
* Determines how different a source type model may be from the current file.
* The larger the maxDist value, the more forgiving Splunk will be with differences.
* For example, if the value is very small (for example, 10), then files of the specified
sourcetype should not vary much.
* A larger value indicates that files of the given source type can vary quite a bit.
* If you're finding that a source type model is matching too broadly, reduce its maxDist
value by about 100 and try again. If you're finding that a source type model is being too
restrictive, increase its maxDist value by about 100 and try again.
* Defaults to 300.
# rule:: and delayedrule:: configuration
MORE_THAN<optional_unique_value>_<number> = <regular expression> (empty)
LESS_THAN<optional_unique_value>_<number> = <regular expression> (empty)
An example:
[rule::bar_some]
sourcetype = source_with_lots_of_bars
# if more than 80% of lines have "----", but fewer than 70% have "####" declare this a
# "source_with_lots_of_bars"
MORE_THAN_80 = ----
LESS_THAN_70 = ####
A rule can have many MORE_THAN and LESS_THAN patterns, and all are required for the rule
to match.
#******************************************************************************
# Annotation Processor configured
#******************************************************************************
ANNOTATE_PUNCT = [true|false]
* Determines whether to index a special token starting with "punct::"
* The "punct::" key contains punctuation in the text of the event.
It can be useful for finding similar events
* If it is not useful for your dataset, or if it ends up taking
too much space in your index it is safe to disable it
* Defaults to true.
#******************************************************************************
# Header Processor configuration
#******************************************************************************
HEADER_MODE = <empty> | always | firstline | none
* Determines whether to use the inline ***SPLUNK*** directive to rewrite index-time fields.
* If "always", any line with ***SPLUNK*** can be used to rewrite index-time fields.
* If "firstline", only the first line can be used to rewrite index-time fields.
* If "none", the string ***SPLUNK*** is treated as normal data.
* If <empty>, scripted inputs take the value "always" and file inputs take the value "none".
* Defaults to <empty>.
#******************************************************************************
# Internal settings
#******************************************************************************
# NOT YOURS. DO NOT SET.
_actions = <string>
* Internal field used for user-interface control of objects.
* Defaults to "new,edit,delete".
pulldown_type = <bool>
* Internal field used for user-interface control of source types.
* Defaults to empty.
given_type = <string>
* Internal field used by the CHECK_FOR_HEADER feature to remember the original sourcetype.
* Default to unset.
'Splunk Configure > Configure Desc.' 카테고리의 다른 글
| limits.conf (0) | 2013.12.19 |
|---|---|
| transforms.conf (0) | 2013.12.19 |
| outputs.conf (0) | 2013.12.09 |
| inputs.conf (1) | 2013.12.09 |
