Splunk Enterprise version 7.2 is no longer supported as of April 30, 2021. See the Splunk Software Support Policy for details. For information about upgrading to a supported version, see How to upgrade Splunk Enterprise.
This documentation does not apply to the most recent version of Splunk® Enterprise.
For documentation on the most recent version, go to the latest release.
props.conf
The following are the spec and example files for props.conf.
props.conf.spec
# Version 7.2.5 # # This file contains possible setting/value pairs for configuring Splunk # software's processing properties via props.conf. # # Props.conf is commonly used for: # # * Configuring line breaking for multi-line events. # * Setting up character set encoding. # * Allowing processing of binary files. # * Configuring timestamp recognition. # * Configuring event segmentation. # * Overriding 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, settings are combined. In the case of
# multiple definitions of the same setting, the last definition in the
# file wins.
# * If a setting 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 setting/value
pairs, as appropriate for what you want to do.
* If you do not set an setting 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
or equivalently, matches any number of characters.
* matches anything but the path separator 0 or more times.
The path separator is '/' on unix, or '\' on windows.
Intended to match a partial or complete directory or filename.
| is equivalent to 'or'
( ) are used to limit scope of |.
\\ = matches a literal backslash '\'.
Example: [source::....(?<!tar.)(gz|bz2)]
This matches any file ending with '.gz' or '.bz2', provided this is not
preceded by 'tar.', so tar.bz2 and tar.gz would not be matched.
**[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 search the Splunk documentation for "specify input paths with wildcards".
**[<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 software applies all of these settings.
However, suppose two [<spec>] stanzas supply the same setting. In this case,
Splunk software 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 setting/value pairs for props.conf, and their
# default values, are:
#******************************************************************************
priority = <number>
* Overrides the default ASCII ordering of matching stanza names
# International characters and character encoding.
CHARSET = <string>
* When set, Splunk software 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 software 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 software automatically
detects, see the online documentation.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* Defaults to ASCII.
Line breaking
# Use the following settings to define the length of a line.
TRUNCATE = <non-negative integer>
* 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>
* Specifies a regex that determines how the raw text stream is broken into
initial events, before line merging takes place. (See the SHOULD_LINEMERGE
setting, 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 software 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 software that this text comes
between lines.
* NOTE: You get a significant boost to processing speed when you use
LINE_BREAKER to delimit multi-line events (as opposed to using
SHOULD_LINEMERGE to reassemble individual lines into multi-line 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
documentation. Search the documentation for "configure event line breaking"
for details.
** 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 multi-line events.
* Defaults to 100 (bytes).
# Use the following settings to specify how multi-line events are handled.
SHOULD_LINEMERGE = [true|false]
* When set to true, Splunk software combines several lines of data into a single
multi-line event, based on the following configuration settings.
* Defaults to true.
# When SHOULD_LINEMERGE is set to true, use the following settings to
# define how Splunk software builds multi-line events.
BREAK_ONLY_BEFORE_DATE = [true|false]
* When set to true, Splunk software 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 software 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
software creates a new event for the next input line.
* Splunk software 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 software
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
software does not break the last event before the current line.
* Defaults to empty.
MAX_EVENTS = <integer>
* Specifies the maximum number of input lines to add to any event.
* Splunk software breaks after the specified number of lines are read.
* Defaults to 256 (lines).
# Use the following settings to handle better load balancing from UF.
# Please note the EVENT_BREAKER properties are applicable for Splunk Universal
# Forwarder instances only.
EVENT_BREAKER_ENABLE = [true|false]
* When set to true, Splunk software will split incoming data with a
light-weight chunked line breaking processor so that data is distributed
fairly evenly amongst multiple indexers. Use this setting on the UF to
indicate that data should be split on event boundaries across indexers
especially for large files.
* Defaults to false
# Use the following to define event boundaries for multi-line events
# For single-line events, the default settings should suffice
EVENT_BREAKER = <regular expression>
* When set, Splunk software will use the setting to define an event boundary at
the end of the first matching group instance.
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>
* If set, Splunk software 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 software 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 128 (characters).
TIME_FORMAT = <strptime-style format>
* 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>
* 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.
* If the event was forwarded, and the forwarder-indexer connection is using
the 6.0+ forwarding protocol, use the timezone provided by the forwarder.
* Otherwise, use the timezone of the system that is running splunkd.
* Defaults to empty.
TZ_ALIAS = <key=value>[,<key=value>]...
* Provides Splunk software 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 software
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 in the past, from the current date as
provided by input layer(For e.g. forwarder current time, or modtime for files),
that an extracted date can be valid. Splunk software still indexes events
with dates older than MAX_DAYS_AGO with the timestamp of the last acceptable
event. If no such acceptable event exists, new events with timestamps older
than MAX_DAYS_AGO will use the current timestamp.
* For example, if MAX_DAYS_AGO = 10, Splunk software applies the timestamp
of the last acceptable event to events with extracted timestamps older
than 10 days in the past. If no acceptable event exists, Splunk software
applies the current timestamp.
* 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 as
provided by input layer(For e.g. forwarder current time, or modtime for
files), that an extracted date can be valid. Splunk software still indexes
events with dates more than MAX_DAYS_HENCE in the future with the timestamp
of the last acceptable event. If no such acceptable event exists, new events
with timestamps after MAX_DAYS_HENCE will use the current timestamp.
* For example, if MAX_DAYS_HENCE = 3, Splunk software applies the timestamp of
the last acceptable event to events with extracted timestamps more than 3
days in the future. If no acceptable event exists, Splunk software applies
the current timestamp.
* 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>
* This setting prevents Splunk software from rejecting events with timestamps
that are out of order.
* Do not use this setting to filter events because Splunk software uses
complicated heuristics for time parsing.
* Splunk software warns you if an event timestamp is more than <integer>
seconds BEFORE the previous timestamp and does not have the same time
format as the majority of timestamps from the source.
* After Splunk software throws the warning, it only rejects an event if it
cannot apply a timestamp to the event (for example, if Splunk software
cannot recognize the time of the event.)
* 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>
* This setting prevents Splunk software from rejecting events with timestamps
that are out of order.
* Do not use this setting to filter events because Splunk software uses
complicated heuristics for time parsing.
* Splunk software warns you if an event timestamp is more than <integer>
seconds AFTER the previous timestamp and does not have the same time format
as the majority of timestamps from the source.
* After Splunk software throws the warning, it only rejects an event if it
cannot apply a timestamp to the event (for example, if Splunk software
cannot recognize the time of the event.)
* 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.
ADD_EXTRA_TIME_FIELDS = [true|false]
* This setting controls whether or not the following keys will be automatically
generated and indexed with events:
date_hour, date_mday, date_minute, date_month, date_second, date_wday,
date_year, date_zone, timestartpos, timeendpos, timestamp.
* These fields are never required, and may be turned off as desired.
* Defaults to true and is enabled for most data sources.
Structured Data Header Extraction and configuration
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
# These special string delimiters, which are single ASCII characters,
# can be used in the settings that follow, which state
# "You can use the delimiters for structured data header extraction with
# this setting."
#
# You can only use a single delimiter for any setting.
# It is not possible to configure multiple delimiters or characters per
# setting.
#
# Example of using the delimiters:
#
# FIELD_DELIMITER=space
# * Tells Splunk software to use the space character to separate fields
# in the specified source.
# space - Space separator (separates on a single space)
# tab / \t - Tab separator
# fs - ASCII file separator
# gs - ASCII group separator
# rs - ASCII record separator
# us - ASCII unit separator
#\xHH - HH is two heaxadecimal digits to use as a separator
Example : \x14 - select 0x14 as delimiter
# none - (Valid for FIELD_QUOTE and HEADER_FIELD_QUOTE only)
null termination character separator
# whitespace / ws - (Valid for FIELD_DELIMITER and
HEADER_FIELD_DELIMITER only)
treats any number of spaces and tabs as a
single delimiter
INDEXED_EXTRACTIONS = <CSV|TSV|PSV|W3C|JSON|HEC>
* Tells Splunk software the type of file and the extraction and/or parsing
method Splunk software should use on the file.
CSV - Comma separated value format
TSV - Tab-separated value format
PSV - pipe "|" separated value format
W3C - W3C Extended Extended Log File Format
JSON - JavaScript Object Notation format
HEC - Interpret file as a stream of JSON events in the same format
as the HTTP Event Collector input.
* These settings default the values of the remaining settings to the
appropriate values for these known formats.
* Keep in mind that the HTTP Event Collector format allows the event
to override many details on a per-event basis, such as the destination
index. It should be only used to read data which is known to be
well-formatted and safe, such as data output by locally written tools.
* Defaults to unset.
METRICS_PROTOCOL = <STATSD|COLLECTD_HTTP>
* Tells Splunk software which protocol the incoming metric data is using:
STATSD - Supports statsd protocol, in the following format:
<metric name>:<value>|<metric type>
Use STATSD-DIM-TRANSFORMS setting to manually extract
dimensions for the above format. Splunk software auto-extracts
dimensions when the data has "#" as dimension delimiter
as shown below:
<metric name>:<value>|<metric type>|#<dim1>:<val1>,
<dim2>:<val2>...
COLLECTD_HTTP - This is data from the write_http collectd plugin being parsed
as streaming JSON docs with the _value living in "values" array
and the dimension names in "dsnames" and the metric type
(for example, counter vs gauge) is derived from "dstypes".
* Defaults to unset, for event (non-metric) data.
STATSD-DIM-TRANSFORMS = <statsd_dim_stanza_name1>,<statsd_dim_stanza_name2>..
* Used only when METRICS_PROTOCOL is set as statsd
* A comma separated list of transforms stanza names which are used to extract
dimensions from statsd metric data.
* Optional for sourcetype which has only one transforms stanza for extracting
dimensions and the stanza name is the same as that of sourcetype's name.
METRIC-SCHEMA-TRANSFORMS = <metric-schema:stanza_name>[,<metric-schema:stanza_name>]...
* NOTE: This setting is valid only for index-time field extractions.
You can set up the TRANSFORMS field extraction configuration to create
index-time field extractions. The Splunk platform always applies
METRIC-SCHEMA-TRANSFORMS after index-time field extraction takes place.
* Optional.
* A comma-separated list of metric-schema stanza names from transforms.conf
that the Splunk platform uses to create multiple metrics from index-time
field extractions of a single log event.
* Default: empty
PREAMBLE_REGEX = <regex>
* Some files contain preamble lines. This setting specifies a regular
expression which allows Splunk software 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.
HEADER_FIELD_LINE_NUMBER = <integer>
* Tells Splunk software the line number of the line within the file that
contains the header fields. If set to 0, Splunk software attempts to
locate the header fields within the file automatically.
* The default value is set to 0.
FIELD_DELIMITER = <character>
* Tells Splunk software which character delimits or separates fields in the
specified file or source.
* You can use the delimiters for structured data header extraction with
this setting.
HEADER_FIELD_DELIMITER = <character>
* Tells Splunk software which character delimits or separates header fields in
the specified file or source.
* You can use the delimiters for structured data header extraction with
this setting.
FIELD_QUOTE = <character>
* Tells Splunk software the character to use for quotes in the specified file
or source.
* You can use the delimiters for structured data header extraction with
this setting.
HEADER_FIELD_QUOTE = <character>
* Specifies the character to use for quotes in the header of the
specified file or source.
* You can use the delimiters for structured data header extraction with
this setting.
TIMESTAMP_FIELDS = [ <string>,..., <string>]
* Some CSV and structured files have their timestamp encompass multiple
fields in the event separated by delimiters. This setting tells Splunk
software to specify all such fields which constitute the timestamp in a
comma-separated fashion.
* If not specified, Splunk software tries to automatically extract the
timestamp of the event.
FIELD_NAMES = [ <string>,..., <string>]
* Some CSV and structured files might have missing headers. This setting
tells Splunk software to specify the header field names directly.
MISSING_VALUE_REGEX = <regex>
* Tells Splunk software the placeholder to use in events where no value is
present.
JSON_TRIM_BRACES_IN_ARRAY_NAMES = <bool>
* Tell the json parser not to add the curly braces to array names.
* Note that enabling this will make json index-time extracted array field names
inconsistent with spath search processor's naming convention.
* For a json document containing the following array object, with trimming
enabled a indextime field 'mount_point' will be generated instead of the
spath consistent field 'mount_point{}'
"mount_point": ["/disk48","/disk22"]
* Defaults to false.
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 the 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 software at index time.
This is because at search time, Splunk software 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 software 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 settings 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 software 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.
* 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 software
append additional values to a field as it finds them in the event data.
* Extract fields with names beginning with numbers or underscores.
Ordinarily, the 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 software 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>,...
* 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 software 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 software 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>]
* 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.
* dotall (?s) and multi-line (?m) modifiers are added in front of the regex.
So internally, the regex becomes (?ms)<regex>.
* 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> has the following restrictions:
* It can only contain alphanumeric characters and underscore
(a-z, A-Z, 0-9, and _).
* It must already exist as a field that has either been extracted at
index time or has been derived from an EXTRACT-<class> configuration
whose <class> ASCII value is *higher* than the configuration in which
you are attempting to extract the field. For example, if you
have an EXTRACT-ZZZ configuration that extracts <src_field>, then
you can only use 'in <src_field>' in an EXTRACT configuration with
a <class> of 'aaa' or lower, as 'aaa' is lower in ASCII value
than 'ZZZ'.
* It cannot be a field that has been derived from a transform field
extraction (REPORT-<class>), an automatic key-value field extraction
(in which you configure the KV_MODE setting to be something other
than 'none'), a field alias, a calculated field, or a lookup,
as these operations occur after inline field extractions (EXTRACT-
<class>) in the search time operations sequence.
* 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 software doesn't try to match <string> to a field name.
KV_MODE = [none|auto|auto_escaped|multi|json|xml]
* 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).
MATCH_LIMIT = <integer>
* Only set in props.conf for EXTRACT type field extractions.
For REPORT and TRANSFORMS field extractions, set this in transforms.conf.
* Optional. Limits the amount of resources that will be spent by PCRE
when running patterns that will not match.
* Use this to set an upper bound on how many times PCRE calls an internal
function, match(). If set too low, PCRE may fail to correctly match a pattern.
* Defaults to 100000
DEPTH_LIMIT = <integer>
* Only set in props.conf for EXTRACT type field extractions.
For REPORT and TRANSFORMS field extractions, set this in transforms.conf.
* Optional. Limits the amount of resources that are spent by PCRE
when running patterns that will not match.
* Use this to limit the depth of nested backtracking in an internal PCRE
function, match(). If set too low, PCRE might fail to correctly match a pattern.
* Default: 1000
AUTO_KV_JSON = [true|false]
* Used for search-time field extractions only.
* Specifies whether to try json extraction automatically.
* Defaults to true.
KV_TRIM_SPACES = true|false
* Modifies the behavior of KV_MODE when set to auto, and auto_escaped.
* Traditionally, automatically identified fields have leading and trailing
whitespace removed from their values.
* Example event: 2014-04-04 10:10:45 myfield=" apples "
would result in a field called 'myfield' with a value of 'apples'.
* If this value is set to false, then external whitespace then this outer
space is retained.
* Example: 2014-04-04 10:10:45 myfield=" apples "
would result in a field called 'myfield' with a value of ' apples '.
* The trimming logic applies only to space characters, not tabs, or other
whitespace.
* NOTE: Splunk Web currently has limitations with displaying and
interactively clicking on fields that have leading or trailing
whitespace. Field values with leading or trailing spaces may not look
distinct in the event viewer, and clicking on a field value will typically
insert the term into the search string without its embedded spaces.
* These warts are not specific to this feature. Any such embedded spaces
will behave this way.
* The Splunk search language and included commands will respect the spaces.
* Defaults to true.
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 software picks a suitable header line to
use for extracting field names.
* 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.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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 software 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 back
references, 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]
FIELDALIAS-<class> = (<orig_field_name> AS|ASNEW <new_field_name>)+
* Use FIELDALIAS configurations to apply aliases to a field. This lets you
search for the original field using one or more alias field names.
* <orig_field_name> is the original name of the field. It is not removed by
this configuration.
* <new_field_name> is the alias to assign to the <orig_field_name>.
* You can create multiple aliases for the same field.
* You can include multiple field alias renames in the same stanza.
* Avoid applying the same alias field name to multiple original field names.
* If you must do this, set it up as a calculated field (an EVAL-* statement)
that uses the 'coalesce' function to create a new field that takes the
value of one or more existing fields. This method lets you be explicit
about ordering of input field values in the case of NULL fields. For
example: EVAL-ip = coalesce(clientip,ipaddress)
* The following is true if you use AS in this configuration:
* If the alias field name <new_field_name> already exists, the Splunk
software replaces its value with the value of <orig_field_name>.
* If the <orig_field_name> field has no value or does not exist, the
<new_field_name> is removed.
* The following is true if you use ASNEW in this configuration:
* If the alias field name <new_field_name> already exists, the Splunk
software does not change it.
* If the <orig_field_name> field has no value or does not exist, the
<new_field_name> is kept.
* Field aliasing is performed at search time, after field extraction, but
before calculated fields (EVAL-* statements) and lookups.
This means that:
* Any field extracted at search time can be aliased.
* You can specify a lookup based on a field alias.
* You cannot alias a calculated field.
EVAL-<fieldname> = <eval statement>
* Use this to automatically run the <eval statement> and assign the value of
the output to <fieldname>. This creates a "calculated field."
* When multiple EVAL-* statements are specified, they behave as if they are
* run in parallel, rather than in any particular sequence.
For example say you have two statements: EVAL-x = y*2 and EVAL-y=100. In
this case, "x" will be assigned the original value of "y * 2," not the
value of "y" after it is set to 100.
* Splunk software processes calculated fields after field extraction and
field aliasing but before lookups. This means that:
* You can use a field alias in the eval statement for a calculated
field.
* You cannot use a field added through a lookup in an eval statement for a
calculated field.
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 software 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 software
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 output field 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).
* Splunk software processes lookups after it processes field extractions,
field aliases, and calculated fields (EVAL-* statements). This means that you
can use extracted fields, aliased fields, and calculated fields to specify
lookups. But you can't use fields discovered by lookups in the
configurations of extracted fields, aliased fields, or calculated fields.
* The LOOKUP- prefix is actually case-insensitive. Acceptable variants include:
LOOKUP_<class> = [...]
LOOKUP<class> = [...]
lookup_<class> = [...]
lookup<class> = [...]
Binary file configuration
NO_BINARY_CHECK = [true|false]
* When set to true, Splunk software 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).
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
detect_trailing_nulls = [auto|true|false]
* When enabled, Splunk software tries to avoid reading in null bytes at
the end of a file.
* When false, Splunk software assumes 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 encodings)
* This feature was introduced to work around programs which foolishly
preallocate their log files with nulls and fill in data later. The
well-known case is Internet Information Server.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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 software checksum of the first and last 256 bytes of a file. When it finds matches, Splunk software 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 software to index the entire file for each detected change. * Important: this option is only valid for [source::<source>] stanzas. * This setting applies at input time, when data is first read by Splunk software, such as on a forwarder that has configured inputs acquiring the data. * Defaults to endpoint_md5. initCrcLength = <integer> * See documentation in inputs.conf.spec.
Small file settings
PREFIX_SOURCETYPE = [true|false]
* NOTE: this setting 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.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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.
* Is used by file-based inputs, at input time (when accessing logfiles) such
as on a forwarder, or indexer monitoring local files.
* sourcetype assignment settings on a system receiving forwarded Splunk data
will not be applied to forwarded data.
* For log files read locally, data from log files matching <source> is
assigned the specified source type.
* Defaults to empty.
# The following setting/value pairs can only be set for a stanza that
# begins with [<sourcetype>]:
rename = <string>
* Renames [<sourcetype>] as <string> at search time
* 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/EXTRACT) for this stanza sourcetype will be ignored.
* Defaults to empty.
invalid_cause = <string>
* Can only be set for a [<sourcetype>] stanza.
* If invalid_cause is set, the Tailing code (which handles uncompressed
logfiles) will not read the data, but hand it off to other components or
throw an error.
* Set <string> to "archive" to send the file to the archive processor
(specified in unarchive_cmd).
* When set to "winevt", this causes the file to be handed off to the
Event Log input processor.
* Set to any other string to throw an error in the splunkd.log if you are
running Splunklogger in debug mode.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* Defaults to empty.
is_valid = [true|false]
* Automatically set by invalid_cause.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* DO NOT SET THIS.
* Defaults to true.
force_local_processing = [true|false]
* Forces a universal forwarder to process all data tagged with this sourcetype
locally before forwarding it to the indexers.
* Data with this sourcetype will be processed via the linebreaker,
aggerator and the regexreplacement processors in addition to the existing
utf8 processor.
* Note that switching this property on will potentially increase the cpu
and memory consumption of the forwarder.
* Applicable only on a universal forwarder.
* Defaults to false.
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 software's automatic handling of archive files (tar,
tar.gz, tgz, tbz, tbz2, zip)
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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
software strips off the archive file's extension (.gz, bz etc) and lookup
another stanza to attempt to determine the sourcetype.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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).
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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 example to make a sourcetype) set LEARN_MODEL =
false.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* Defaults to true.
maxDist = <integer>
* Determines how different a source type model may be from the current file.
* The larger the maxDist value, the more forgiving Splunk software 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.
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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)
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
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".
* This setting applies at input time, when data is first read by Splunk
software, such as on a forwarder that has configured inputs acquiring the
data.
* 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. * This setting applies at input time, when data is first read by Splunk software, such as on a forwarder that has configured inputs acquiring the data. * Default to unset.
Sourcetype Category and Descriptions
description = <string> * Field used to describe the sourcetype. Does not affect indexing behavior. * Defaults to unset. category = <string> * Field used to classify sourcetypes for organization in the front end. Case sensitive. Does not affect indexing behavior. * Defaults to unset.
props.conf.example
# Version 7.2.5
#
# The following are example props.conf configurations. Configure properties for
# your data.
#
# To use one or more of these configurations, copy the configuration block into
# props.conf in $SPLUNK_HOME/etc/system/local/. You must restart Splunk to
# enable configurations.
#
# To learn more about configuration files (including precedence) please see the
# documentation located at
# http://docs.splunk.com/Documentation/Splunk/latest/Admin/Aboutconfigurationfiles
########
# Line merging settings
########
# The following example line-merges source data into multi-line events for
# apache_error sourcetype.
[apache_error]
SHOULD_LINEMERGE = True
########
# Settings for tuning
########
# The following example limits the amount of characters indexed per event from
# host::small_events.
[host::small_events]
TRUNCATE = 256
# The following example turns off DATETIME_CONFIG (which can speed up indexing)
# from any path that ends in /mylogs/*.log.
#
# In addition, the default splunk behavior of finding event boundaries
# via per-event timestamps can't work with NONE, so we disable
# SHOULD_LINEMERGE, essentially declaring that all events in this file are
# single-line.
[source::.../mylogs/*.log]
DATETIME_CONFIG = NONE
SHOULD_LINEMERGE = false
########
# Timestamp extraction configuration
########
# The following example sets Eastern Time Zone if host matches nyc*.
[host::nyc*]
TZ = US/Eastern
# The following example uses a custom datetime.xml that has been created and
# placed in a custom app directory. This sets all events coming in from hosts
# starting with dharma to use this custom file.
[host::dharma*]
DATETIME_CONFIG = <etc/apps/custom_time/datetime.xml>
########
## Timezone alias configuration
########
# The following example uses a custom alias to disambiguate the Australian
# meanings of EST/EDT
TZ_ALIAS = EST=GMT+10:00,EDT=GMT+11:00
# The following example gives a sample case wherein, one timezone field is
# being replaced by/interpreted as another.
TZ_ALIAS = EST=AEST,EDT=AEDT
########
# Transform configuration
########
# The following example creates a search field for host::foo if tied to a
# stanza in transforms.conf.
[host::foo]
TRANSFORMS-foo=foobar
# The following stanza extracts an ip address from _raw
[my_sourcetype]
EXTRACT-extract_ip = (?<ip>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})
# The following example shows how to configure lookup tables
[my_lookuptype]
LOOKUP-foo = mylookuptable userid AS myuserid OUTPUT username AS myusername
# The following shows how to specify field aliases
FIELDALIAS-foo = user AS myuser id AS myid
########
# Sourcetype configuration
########
# The following example sets a sourcetype for the file web_access.log for a
# unix path.
[source::.../web_access.log]
sourcetype = splunk_web_access
# The following example sets a sourcetype for the Windows file iis6.log. Note:
# Backslashes within Windows file paths must be escaped.
[source::...\\iis\\iis6.log]
sourcetype = iis_access
# The following example extracts syslog events.
[syslog]
invalid_cause = archive
unarchive_cmd = gzip -cd -
# The following example learns a custom sourcetype and limits the range between
# different examples with a smaller than default maxDist.
[custom_sourcetype]
LEARN_MODEL = true
maxDist = 30
# rule:: and delayedrule:: configuration
# The following examples create sourcetype rules for custom sourcetypes with
# regex.
[rule::bar_some]
sourcetype = source_with_lots_of_bars
MORE_THAN_80 = ----
[delayedrule::baz_some]
sourcetype = my_sourcetype
LESS_THAN_70 = ####
########
# File configuration
########
# Binary file configuration
# The following example eats binary files from the sourcetype
# "imported_records".
[imported_records]
NO_BINARY_CHECK = true
# File checksum configuration
# The following example checks the entirety of every file in the web_access
# directory rather than skipping files that appear to be the same.
[source::.../web_access/*]
CHECK_METHOD = entire_md5
########
# Metric configuration
########
# A metric sourcetype of type statsd with 'regex_stanza1', 'regex_stanza2' to
# extract dimensions
[metric_sourcetype_name]
METRICS_PROTOCOL = statsd
STATSD-DIM-TRANSFORMS = regex_stanza1, regex_stanza2
#Convert a single log event into multiple metrics using METRIC-SCHEMA-TRANSFORMS
#and index time extraction feature.
[logtometrics]
METRIC-SCHEMA-TRANSFORMS = metric-schema:logtometrics
TRANSFORMS-group = extract_group
TRANSFORMS-name = extract_name
TRANSFORMS-max_size_kb = extract_max_size_kb
TRANSFORMS-current_size_kb = extract_current_size_kb
TRANSFORMS-current_size = extract_current_size
TRANSFORMS-largest_size = extract_largest_size
TRANSFORMS-smallest_size = extract_smallest_size
category = metrics
should_linemerge = false
Last modified on 05 April, 2019
| procmon-filters.conf | pubsub.conf |
This documentation applies to the following versions of Splunk® Enterprise: 7.2.5
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