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We end this hour with an update on the school shooting in Newtown, Connecticut. Here's what we know. In total, 28 people are confirmed dead, including the gunman. And NPR has confirmed his identity. He was Adam Lanza, 20 years old. That's according to federal law enforcement officials. Earlier today, his brother Ryan was taken in for questioning. Ryan Lanza is not believed to be involved in the shootings.
The violence began at some point after nine o'clock this morning. The alleged shooter walked in to Sandy Hook Elementary, killing six adults and 20 children. Another adult was killed before the rampage at the Lanza family home. Among the dead was the gunman's mother, but we have not yet confirmed whether she died in that home or at the school.
CORNISH: Earlier today, President Obama addressed the tragedy, shedding tears as he spoke.
PRESIDENT BARACK OBAMA: As a country, we have been through this too many times, whether it's an elementary school in Newtown, or a shopping mall in Oregon, or a temple in Wisconsin, or a movie theater in Aurora, or a street corner in Chicago, these neighborhoods are our neighborhoods, and these children are our children. And we're going to have to come together and take meaningful action to prevent more tragedies like this regardless of the politics.
This evening, Michelle and I will do what I know every parent in America will do, which is hug our children a little tighter and we'll tell them that we love them and we'll remind each other how deeply we love one another. But there are families in Connecticut who cannot do that tonight and they need all of us right now. In the hard days to come, that community needs us to be at our best as Americans and I will do everything in my power as president to help.
CORNISH: President Obama speaking today at the White House.
SIEGEL: This is ALL THINGS CONSIDERED from NPR News. Transcript provided by NPR, Copyright NPR.

subset: commoncrawl


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Заголовок: How do I find topics I'm interested in?
Ссылка на текущую версию на английском языке: https://stackoverflow.com/help/interesting-topics
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Apply for the Conversation to Action Grant!
November 16 - 20, 2020 | On the Table
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1 pm
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Due to the pandemic, we will be hosting On the Table 2020 virtually. Hopin.to is the virtual platform we have chosen to offer an intimate online experience similar to an in-person discussion. Similar to Zoom, Hopin has multiple interactive areas that are optimized for connecting and engaging.
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On the Table is a one of a kind opportunity to bring people of diverse backgrounds together to have meaningful conversations about topics that are important to the community. This community-wide initiative seeks to explore the ways in which we have the power to collaborate to make our community stronger, safer, and more dynamic.
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text:
King James Version
1Kings 10
1 And when the queen of Sheba heard of the fame of Solomon concerning the name of the LORD, she came to prove him with hard questions.
2 And she came to Jerusalem with a very great train, with camels that bare spices, and very much gold, and precious stones: and when she was come to Solomon, she communed with him of all that was in her heart.
3 And Solomon told her all her questions: there was not any thing hid from the king, which he told her not.
4 And when the queen of Sheba had seen all Solomon's wisdom, and the house that he had built,
5 And the meat of his table, and the sitting of his servants, and the attendance of his ministers, and their apparel, and his cupbearers, and his ascent by which he went up unto the house of the LORD; there was no more spirit in her.
6 And she said to the king, It was a true report that I heard in mine own land of thy acts and of thy wisdom.
7 Howbeit I believed not the words, until I came, and mine eyes had seen it: and, behold, the half was not told me: thy wisdom and prosperity exceedeth the fame which I heard.
8 Happy are thy men, happy are these thy servants, which stand continually before thee, and that hear thy wisdom.
9 Blessed be the LORD thy God, which delighted in thee, to set thee on the throne of Israel: because the LORD loved Israel for ever, therefore made he thee king, to do judgment and justice.
10 And she gave the king an hundred and twenty talents of gold, and of spices very great store, and precious stones: there came no more such abundance of spices as these which the queen of Sheba gave to king Solomon.
11 And the navy also of Hiram, that brought gold from Ophir, brought in from Ophir great plenty of almug trees, and precious stones.
12 And the king made of the almug trees pillars for the house of the LORD, and for the king's house, harps also and psalteries for singers: there came no such almug trees, nor were seen unto this day.
13 And king Solomon gave unto the queen of Sheba all her desire, whatsoever she asked, beside that which Solomon gave her of his royal bounty. So she turned and went to her own country, she and her servants.
14 Now the weight of gold that came to Solomon in one year was six hundred threescore and six talents of gold,
15 Beside that he had of the merchantmen, and of the traffick of the spice merchants, and of all the kings of Arabia, and of the governors of the country.
16 And king Solomon made two hundred targets of beaten gold: six hundred shekels of gold went to one target.
17 And he made three hundred shields of beaten gold; three pound of gold went to one shield: and the king put them in the house of the forest of Lebanon.
18 Moreover the king made a great throne of ivory, and overlaid it with the best gold.
19 The throne had six steps, and the top of the throne was round behind: and there were stays on either side on the place of the seat, and two lions stood beside the stays.
20 And twelve lions stood there on the one side and on the other upon the six steps: there was not the like made in any kingdom.
21 And all king Solomon's drinking vessels were of gold, and all the vessels of the house of the forest of Lebanon were of pure gold; none were of silver: it was nothing accounted of in the days of Solomon.
22 For the king had at sea a navy of Tharshish with the navy of Hiram: once in three years came the navy of Tharshish, bringing gold, and silver, ivory, and apes, and peacocks.
23 So king Solomon exceeded all the kings of the earth for riches and for wisdom.
24 And all the earth sought to Solomon, to hear his wisdom, which God had put in his heart.
25 And they brought every man his present, vessels of silver, and vessels of gold, and garments, and armour, and spices, horses, and mules, a rate year by year.
26 And Solomon gathered together chariots and horsemen: and he had a thousand and four hundred chariots, and twelve thousand horsemen, whom he bestowed in the cities for chariots, and with the king at Jerusalem.
27 And the king made silver to be in Jerusalem as stones, and cedars made he to be as the sycomore trees that are in the vale, for abundance.
28 And Solomon had horses brought out of Egypt, and linen yarn: the king's merchants received the linen yarn at a price.
29 And a chariot came up and went out of Egypt for six hundred shekels of silver, and an horse for an hundred and fifty: and so for all the kings of the Hittites, and for the kings of Syria, did they bring them out by their means.


text: RESERVATIONS REQUIRED TEXT (646) 470-8121 Meet new people, make friends, and learn to make smart financial decisions so you can get out of the rat race. You'll will meet Real Estate Investors that are playing CashFlow in REAL LIFE! This board game teaches people how to think like a successful real estate investor or business owner. It brings out your investment style and shows you why you are successful or not. Learn how to get onto the fast track where your money works for you instead of you working for your money. Cashflow 101 is an educational board game that teaches accounting, finance, and investing at the same time. Use this game to practice real world investing with play money. RSVP to come play at our Real Estate Investor office, receive the full address of our location, and have fun learning how to better your finances in real LIFE. If you want to enjoy a fun evening while learning this is the place to be. RESERVATIONS REQUIRED TEXT (646) 470-8121 For more information about our future events check out


text:
The following are the spec and example files for props.conf
# Version 9.0.4 # # This file contains possible setting/value pairs for configuring Splunk # software's processing properties through 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 (regular expression-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: Do not add 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 regular expression (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) 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.
# 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 a 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. Match expressions are based on a full implementation of Perl-compatible regular expressions (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 actually applies to events with host values of "FOO" or "Foo" . The second stanza, on the other hand, does 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. * Default (on Windows machines): AUTO * Default (otherwise): UTF-8
Line breaking
# Use the following settings to define the length of a line. TRUNCATE = <non-negative integer> * 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). * Default: 10000 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.) * 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 are not 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. * Default: ([\r\n]+) (Data is broken into an event for each line, delimited by any number of carriage return or newline characters.) ** 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. For instance, there is nothing particularly special about example: LINE_BREAKER = ([\r\n])+(one|two|three) where the top level remains a single expression. 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, reconstruct your regex to have a leftmost capturing group that always matches. It might be useful to use non-capturing groups if you need to express a group before the text to discard. Example: LINE_BREAKER = (?:one|two)([\r\n]+) * This matches 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 is 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 is considered the linebreak. 3: If no capturing group is part of the match, the linebreaker assumes 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 occurs 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> * The number of bytes before the end of the raw data chunk to which Splunk software should apply the 'LINE_BREAKER' regex. * 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) where Splunk software applies the LINE_BREAKER regex. * You might want to increase this value from its default if you are dealing with especially large or multi-line events. * Default: 100 # Use the following settings to specify how multi-line events are handled. SHOULD_LINEMERGE = <boolean> * Whether or not to combine several lines of data into a single multiline event, based on the configuration settings listed in this subsection. * When you set this to "true", Splunk software combines several lines of data into a single multi-line event, based on values you configure in the following settings. * When you set this to "false", Splunk software does not combine lines of data into multiline events. * Default: 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 = <boolean> * Whether or not to create a new event if a new line with a date is encountered in the data stream. * When you set this 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. * Default: 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. * Default: empty string MUST_BREAK_AFTER = <regular expression> * When set, Splunk software creates a new event for the next input line only if the regular expression matches the current line. * It is possible for the software to break before the current line if another rule matches. * Default: empty string 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. * Default: empty string 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. * Default: empty string MAX_EVENTS = <integer> * The maximum number of input lines to add to any event. * Splunk software breaks after it reads the specified number of lines. * Default: 256 ROUTE_EVENTS_OLDER_THAN = <non-negative integer>[s|m|h|d] * If set, AggregatorProcessor routes events older than 'ROUTE_EVENTS_OLDER_THAN' to nullQueue after timestamp extraction. * Default: no default # Use the following settings to handle better load balancing from UF. # NOTE: The EVENT_BREAKER properties are applicable for Splunk Universal # Forwarder instances only. EVENT_BREAKER_ENABLE = <boolean> * Whether or not a universal forwarder (UF) uses the 'ChunkedLBProcessor' data processor to improve distribution of events to receiving indexers for a given source type. * When set to true, a UF splits incoming data with a light-weight chunked line breaking processor ('ChunkedLBProcessor') so that data is distributed fairly evenly amongst multiple indexers. * When set to false, a UF uses standard load-balancing methods to send events to indexers. * Use this setting on a UF to indicate that data should be split on event boundaries across indexers, especially for large files. * This setting is only valid on universal forwarder instances. * Default: 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> * A regular expression that specifies the event boundary for a universal forwarder to use to determine when it can send events to an indexer. * The regular expression must contain a capturing group (a pair of parentheses that defines an identified sub-component of the match.) * When the UF finds a match, it considers the first capturing group to be the end of the previous event, and the end of the capturing group to be the beginning of the next event. * At this point, the forwarder can then change the receiving indexer based on these event boundaries. * This setting is only active if you set 'EVENT_BREAKER_ENABLE' to "true", only works on universal forwarders, and works best with multiline events. * Default: "([\r\n]+)" LB_CHUNK_BREAKER = <regular expression> * A regular expression that specifies the event boundary for a universal forwarder to use to determine when it can send events to an indexer. * The regular expression must contain a capturing group (a pair of parentheses that defines an identified sub-component of the match.) * When the UF finds a match, it considers the first capturing group to be the end of the previous event, and the end of the capturing group to be the beginning of the next event. * Splunk software discards the contents of the first capturing group. This content will not be present in any event, as Splunk software considers this text to come between lines. * At this point, the forwarder can then change the receiving indexer based on these event boundaries. * This is only used if [httpout] is configured in outputs.conf * Default: ([\r\n]+) LB_CHUNK_BREAKER_TRUNCATE = <non-negative integer> * The maximum length of data chunk sent by LB_CHUNK_BREAKER, in bytes. * Although this is in bytes, length is rounded down when this would otherwise land mid-character for multi-byte characters. * Default: 2000000
Timestamp extraction configuration
DATETIME_CONFIG = [<filename relative to $SPLUNK_HOME> | CURRENT | NONE] * Specifies which file configures the timestamp extractor, which identifies timestamps from the event text. * This setting 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" sets 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" leaves the event time set to whatever time was selected by the input layer * For data sent by Splunk forwarders over the Splunk-to-Splunk protocol, the input layer is the time that was selected on the forwarder by its input behavior (as below). * For file-based inputs (monitor, batch) the time chosen is the modification timestamp on the file being read. * For other inputs, the time chosen is 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. * For more information on 'DATETIME_CONFIG' and datetime.xml, see "Configure advanced timestamp recognition with datetime.xml" in the Splunk Documentation. * Default: /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 is used for timestamp extraction. * If the 'TIME_PREFIX' cannot be found in the event text, timestamp extraction does not occur. * Default: empty string MAX_TIMESTAMP_LOOKAHEAD = <integer> * The number of 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 is 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). * Default: 128 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. * Default: empty string DETERMINE_TIMESTAMP_DATE_WITH_SYSTEM_TIME = <boolean> * Whether or not the Splunk platform uses the current system time to determine the date of an event timestamp that has no date. * If set to "true", the platform uses the system time to determine the date for an event that has a timestamp without a date. * If the future event has a timestamp that is less than three hours later than the current system time, then the platform presumes that the timestamp date for that event is the current date. * Otherwise, it presumes that the timestamp date is in the future, and uses the previous day's date instead. * If set to "false", the platform uses the last successfully-parsed timestamp to determine the timestamp date for the event. * Default: false 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 uses the version 6.0 and higher forwarding protocol, use the timezone provided by the forwarder. * Otherwise, use the timezone of the system that is running splunkd. * Default: empty string 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 the '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) * Default: not set MAX_DAYS_AGO = <integer> * The maximum number of days in the past, from the current date as provided by the input layer (For example 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' uses 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. * If your data is older than 2000 days, increase this setting. * Highest legal value: 10951 (30 years). * Default: 2000 (5.48 years). MAX_DAYS_HENCE = <integer> * The maximum number of days in the future, from the current date as provided by the 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' 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. * NOTE: False positives are less likely with a smaller window. Change with caution. * Highest legal value: 10950 (30 years). * Default: 2 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. Splunk software uses complicated heuristics for time parsing. * Splunk software warns you if an event timestamp is more than 'MAX_DIFF_SECS_AGO' 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.) * 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 only considers the hour. (No one second granularity for this purpose.) * Highest legal value: 2147483646 (68.1 years). * Defaults: 3600 (one hour). 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. Splunk software uses complicated heuristics for time parsing. * Splunk software warns you if an event timestamp is more than 'MAX_DIFF_SECS_HENCE' 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.) * If your timestamps are wildly out of order, or you have logs that are written less than once a week, consider increasing this value. * Highest legal value: 2147483646 (68.1 years). * Default: 604800 (one week). ADD_EXTRA_TIME_FIELDS = [none | subseconds | all | <boolean>] * Whether or not Splunk software automatically generates and indexes the following keys 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. * If set to "none" (or false), all indextime data about the timestamp is stripped out. This removes the above fields but also removes information about the sub-second timestamp granularity. When events are searched, only the second-granularity timestamp is returned as part of the "_time" field. * If set to "subseconds", the above fields are stripped out but the data about subsecond timestamp granularity is left intact. * If set to "all" (or true), all of the indextime fields from the time parser are included. * Default: true (Enabled for most data sources.)
Structured Data Header Extraction and configuration
Field extraction configuration
NOTE: If this is your first time configuring field extractions in props.conf, review the following information first. Additional information is also available in the Getting Data In Manual in the Splunk Documentation. 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. Create additions to the default set of indexed fields ONLY 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 checks 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 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?** This is 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 * See the RULESET-<class> setting for additional index-time transformation options. RULESET-<class> = <string> * This setting is used to perform index-time transformations, such as filtering, routing, and masking. * A <class> is a unique string that identifies the name of a ruleset. * Supply one or more transform stanza names as values for this setting. A transform stanza name is the name of a stanza in the transforms.conf file where you define your data transformations. * Use a comma-separated list to apply multiple transform stanzas to a single RULESET extraction. Each transform stanza is applied in the order defined in the list. * Use the REST endpoint: /services/data/ingest/rulesets to configure this setting. * This setting is nearly identical to the TRANSFORMS-<class> setting, with the following exceptions: * If a RULESET is configured for a particular data stream on both indexers and heavy forwarders, the processor processes the RULESET on both Splunk platform instances. This is different from TRANSFORMS, which the processor ignores on an indexer if it has already been processed on the heavy forwarder. * If a data source matches both a TRANSFORMS and a RULESET, the processor applies the TRANSFORMS setting before the RULESET setting. * Default: empty string RULESET_DESC-<class> = <string> * Description of 'RULESET-' to help users understand what a specific 'RULESET-' index-time field extraction does. For example: RULESET_DESC-drop_debug_logs = Describes the 'RULESET-drop_debug_logs' field transform. 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: Disables field extraction for the host, source, or source type. * auto_escaped: Extracts fields/value pairs separated by equal signs and honors \" and \\ as escaped sequences within quoted values. For example: field="value with \"nested\" quotes" * multi: Invokes the 'multikv' search command, which extracts fields from table-formatted events. * xml : Automatically extracts fields from XML data. * json: Automatically extracts fields from JSON data. * Setting to 'none' can ensure that one or more custom field extractions are not overridden by automatic field/value extraction for a particular host, source, or source type. You can also use 'none' to increase search performance by disabling extraction for common but nonessential fields. * The 'xml' and 'json' modes do not extract any fields when used on data that isn't of the correct format (JSON or XML). * If you set 'KV_MODE = json' for a source type, do not also set 'INDEXED_EXTRACTIONS = JSON' for the same source type. This causes the Splunk software to extract the json fields twice: once at index time and again at search time. * When KV_MODE is set to 'auto' or 'auto_escaped', automatic JSON field extraction can take place alongside other automatic field/value extractions. To disable JSON field extraction when 'KV_MODE' is set to 'auto' or 'auto_escaped', add 'AUTO_KV_JSON = false' to the stanza. * Default: auto 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 spent by PCRE when running patterns that do 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. * Default: 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 spent by PCRE when running patterns that do 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 = <boolean> * Used only for search-time field extractions. * Specifies whether to extract fields from JSON data when 'KV_MODE' is set to 'auto' or 'auto_escaped'. * To disable automatic extraction of fields from JSON data when 'KV_MODE' is set to 'auto' or 'auto_escaped', set 'AUTO_KV_JSON = false'. * Setting 'AUTO_KV_JSON = false' when 'KV_MODE' is set to 'none', 'multi', 'json', or 'xml' has no effect. * Default: true KV_TRIM_SPACES = <boolean> * 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 typically inserts the term into the search string without its embedded spaces. * The limitations are not specific to this feature. Any embedded spaces behave this way. * The Splunk search language and included commands respect the spaces. * Default: true CHECK_FOR_HEADER = <boolean> * 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. * Causes 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 does 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. * Default: 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] * No default. 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. For example, a search expression of <new_field_name>=<value> also finds events that match <orig_field_name>=<value>. * <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. For example, a single <orig_field_name> may have multiple <new_field_name>s as long as all of the <new_field_name>s are distinct. * Example of a valid configuration: FIELDALIAS-vendor = vendor_identifier AS vendor_id \ vendor_identifier AS vendor_name * You can include multiple field alias renames in the same stanza. * Avoid applying the same alias field name to multiple original field names as a single alias cannot refer to multiple original source fields. Each alias can map to only one source field. If you attempt to create two field aliases that map two separate <orig_field_name>s onto the same <new_field_name>, only one of the aliases takes effect, not both. * For example, if you attempt to run the following configuration, which maps two <orig_field_name>s to the same <new_field_name>, only one of the aliases takes effect, not both. The following definition demonstrates an invalid configuration: FIELDALIAS-foo = userID AS user loginID AS user * 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. * No default. 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" is 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. * No default. 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 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) are 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> = [...] * No default.
Binary file configuration
NO_BINARY_CHECK = <boolean> * When set to true, Splunk software processes binary files. * Can only be used on the basis of [<sourcetype>], or [source::<source>], not [host::<host>]. * Default: 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 historical behavior of trimming all null bytes when Splunk software runs on Windows. * 'auto' is currently a synonym for true but may be extended to be sensitive to the charset selected (i.e. 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. * Default (on *nix machines): false * Default (on Windows machines): true
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. * Default: 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 need to edit the Splunk Web UI.
File checksum configuration
CHECK_METHOD = [endpoint_md5|entire_md5|modtime] * Set CHECK_METHOD to "endpoint_md5" to have Splunk software perform a 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 to "entire_md5" to use the checksum of the entire file. * Set CHECK_METHOD to "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. * 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. * Default: endpoint_md5 initCrcLength = <integer> * See documentation in inputs.conf.spec.
Small file settings
PREFIX_SOURCETYPE = <boolean> * 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*" retrieves "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. * Default: 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 are not be applied to forwarded data. * For log files read locally, data from log files matching <source> is assigned the specified source type. * Default: empty string # 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 renamed sourcetype only uses the search-time configuration for the target sourcetype. Field extractions (REPORTS/EXTRACT) for this stanza sourcetype are ignored. * Default: empty string invalid_cause = <string> * Can only be set for a [<sourcetype>] stanza. * If invalid_cause is set, the Tailing code (which handles uncompressed logfiles) does not read the data, but hands it off to other components or throws 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. * Default: empty string is_valid = <boolean> * 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. * Default: true force_local_processing = <boolean> * Forces a universal forwarder to process all data tagged with this sourcetype locally before forwarding it to the indexers. * Data with this sourcetype is processed by the linebreaker, aggerator, and the regexreplacement processors in addition to the existing utf8 processor. * Note that switching this property potentially increases the cpu and memory consumption of the forwarder. * Applicable only on a universal forwarder. * Default: 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. * Default: empty string 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. * Default: empty string LEARN_SOURCETYPE = <boolean> * 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. * Default: true LEARN_MODEL = <boolean> * 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 source code, 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. * Default: true termFrequencyWeightedDist = <boolean> * Whether or not the Splunk platform calculates distance between files by using the frequency at which unique terms appear in those files. * The Splunk platform calculates file "distance", or how similar one file is to another, by analyzing patterns that it finds within each file. * When this setting is the default of "false", the platform determines the file distance by using the number of unique terms that each file shares with another. This is the legacy behavior. * To instead have the platform use the frequency in which those terms occur within a file to determine its distance from another file, set this to "true". This is a more accurate representation of file distance. * Default: 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 software is 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. * Default: 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 = <boolean> * 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 * Default: 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. * Default: <empty>
Internal settings
# NOT YOURS. DO NOT SET. _actions = <string> * Internal field used for user-interface control of objects. * Default: "new,edit,delete". pulldown_type = <boolean> * Internal field used for user-interface control of source types. * Default: 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: not set
Sourcetype Category and Descriptions
description = <string> * Field used to describe the sourcetype. Does not affect indexing behavior. * Default: not set category = <string> * Field used to classify sourcetypes for organization in the front end. Case sensitive. Does not affect indexing behavior. * Default: not set
# Version 9.0.4 # # 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 data from a .Z archive [preprocess-Z] invalid_cause = archive is_valid = False LEARN_MODEL = false [source::....Z(.\d+)?] unarchive_cmd = gzip -cd - sourcetype = preprocess-Z NO_BINARY_CHECK = true # 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
procmon-filters.conf | pubsub.conf |
This documentation applies to the following versions of Splunk® Enterprise: 9.0.4


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The eviction moratorium has left many investors collecting little to no rent due to the guidelines set down by the CDC. But what do you do when your tenants aren't paying up? Regrettably, as the order drags on, many investment property owners can no longer afford to take the loss. Most property owners turn to the more traditional style of listing a property when they are getting ready to sell real estate, without any thought to other options. When already facing not collecting rent, considering all the steps to prep the property to make it market-ready can feel overwhelming financially. Should you find yourself in this position, we will explore how to sell your Stockton investment property when your tenants aren't paying up.
Real Estate Agent
Attracting the average investor to a listing in the real estate market is extremely difficult, if not nearly impossible if you are trying to sell your Stockton investment property when your tenants aren't paying. The fact that your tenants protected under the order is not something that will go unnoticed, so be prepared to be completely forthright regarding your tenant's current status, regarding the order. An issue with listings are the inevitable showings, which means arrangements with tenants to show your investment property. Be prepared to cover the expenses for photography, marketing as well as repairs and updating the property on both the interior and exterior. Added to this are commissions and fees associated with real estate agents.
The other option to list your Stockton investment property when your tenants aren't paying is for sale by owner or FSBO. The most important information any buyer will be seeking is the monthly income realized from the investment. You will want to be fully prepared to share any arrangements you have already made with your tenants for partial payments, under the guidelines of the CDC order. By handling showings yourself, you also do not have to worry about tenants responding to questions that they really should not answer to a buyer's agent or their clients. This also eliminates your dealing with them asking you questions during showings in front of your tenants as well. One issue is having tenants that are home full-time because they are usually not working at all in many cases. This causes difficulty for tenants keeping a unit spotless, just in case there is a showing.
Direct Buyers
Ready for a quick, painless, and easy solution? Direct buyers typically close much faster than traditional transactions and purchase homes just as they are. This can mean thousands in savings to you with no updates required and no more repair bills to worry about! This also includes buying the property with full awareness of your tenants current standing under the order. Why not sell your Stockton investment property to a direct buyer when your tenants are not paying? Selling to a professional home buyer is extremely straight forward. They will layout every step of the process and usually have shortened, very clear contracts that are simple as-is purchase agreements. While offers are usually below market, this is for good reason! The buyer is taking on a tremendous risk by purchasing your house as-is, for your home may be more damaged than you realize! This lessens your exposure to legal risks, found in traditional real estate sales.
Leave all of your worries behind! Your best option? Sell your Stockton investment property to Carisa Buys Houses when your tenants are not paying. Sellers can expect quick, simple, stress-free transactions from Carisa Buys Houses. Give us a call or send us a message to discuss selling your investment property and the steps to receive your personalized, no-obligation offer. Call (209) 624-0070 today to learn more!


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OmanOman has an unemployment rate of 15.00% while Denmark has 4.90%
This entry contains the percent of the labor force that is without jobs.
CIA World Factbook
The number of deaths of infants under one year old in a given year per 1,000 live births in Oman is 14.00 while in Denmark it is 4.10.
This entry gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
CIA World Factbook
The life expectancy at birth in Oman is 74.97 while in Denmark it is 79.09.
This entry contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
CIA World Factbook
Per capita public and private health expenditures combined in Oman are $690.10 USD while Denmark spends $6,303.70 USD
This entry contains the per capita public and private health expenditure at purchase power parity using US Dollars. This figure combines government, personal, and employer spending on health care
World Health Organization
The GDP per capita in Oman is $29,800 while in Denmark it is $37,800
This entry shows GDP on a purchasing power parity basis divided by population as of 1 July for the same year. A nation's GDP at purchasing power parity (PPP) exchange rates is the sum value of all goods and services produced in the country valued at prices prevailing in the United States. This is the measure most economists prefer when looking at per-capita welfare and when comparing living conditions or use of resources across countries. The measure is difficult to compute, as a US dollar value has to be assigned to all goods and services in the country regardless of whether these goods and services have a direct equivalent in the United States (for example, the value of an ox-cart or non-US military equipment); as a result, PPP estimates for some countries are based on a small and sometimes different set of goods and services. In addition, many countries do not formally participate in the World Bank's PPP project that calculates these measures, so the resulting GDP estimates for these countries may lack precision. For many developing countries, PPP-based GDP measures are multiples of the official exchange rate (OER) measure. The differences between the OER- and PPP-denominated GDP values for most of the wealthy industrialized countries are generally much smaller.
CIA World Factbook
36 in every 100,000 people are currently imprisoned in Oman compared to 67 in Denmark
This entry contains the number of people in penal institutions, including pre-trial detainees. Comparability is hampered by differences in local practice, including whether psychiatrically ill offenders are under the authority of the prison administration. People held in a form of custody not under the authority of a prison administration are not included in this figure.
International Centre for Prison Studies
1.20 in every 100,000 people are murdered annually in Oman compared to 0.70 in Denmark
This entry contains the number of victims of an unlawful death purposefully inflicted on a person by another person. Data is originally sourced from either criminal justice or public health systems.
United Nations Office on Drugs and Crime
The per capita consumption of electricity in Denmark is 6,026kWh while in Oman it is 4,758kWh
This entry consists of total electricity generated annually plus imports and minus exports, expressed in kilowatt-hours. The discrepancy between the amount of electricity generated and/or imported and the amount consumed and/or exported is accounted for as loss in transmission and distribution.
CIA World Factbook
Denmark consumes 1.2096 gallons of oil per day per capita while Oman consumes 1.2768
This entry is the total oil consumed in gallons per day (gal/day) divided by the population. The discrepancy between the amount of oil produced and/or imported and the amount consumed and/or exported is due to the omission of stock changes, refinery gains, and other complicating factors.
CIA World Factbook
The percentage of adults living with HIV/AIDS in Oman is 0.10% while in Denmark it is 0.20%. 100 people in Oman and 100 people in Denmark die from AIDS each year.
This entry gives an estimate of the percentage of adults (aged 15-49) living with HIV/AIDS. The adult prevalence rate is calculated by dividing the estimated number of adults living with HIV/AIDS at yearend by the total adult population at yearend.
CIA World Factbook
The annual number of births per 1,000 people in Oman is 24.47 while in Denmark it is 10.22.
This entry gives the average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
CIA World Factbook
With its 3,219,775 people, Oman is the 135th largest country in the world by population. It is the 71st largest country in the world by area with 309,500 square kilometers.
The inhabitants of the area of Oman have long prospered on Indian Ocean trade. In the late 18th century, a newly established sultanate in Muscat signed the first in a series of friendship treaties with Britain. Over time, Oman's dependence on British political and military advisors increased, but it never became a British colony. In 1970, QABOOS bin Said Al-Said overthrew his father, and he has since ruled as sultan. His extensive modernization program has opened the country to the outside world while preserving the longstanding close ties with the UK. Oman's moderate, independent foreign policy has sought to maintain good relations with all Middle Eastern countries. Inspired by the popular uprisings that swept the Middle East and North Africa beginning in January 2011, some Omanis began staging marches, demonstrations, and sit-ins calling mostly for more jobs and economic benefits and an end to corruption. In response to those protester demands, QABOOS in 2011 pledged to implement economic and political reforms, such as granting legislative and regulatory powers to the Majlis al-Shura and introducing unemployment benefits. Additionally, in August 2012, the Sultan announced a royal directive mandating the speedy implementation of a national job creation plan for thousands of public and private sector jobs. As part of the government's efforts to decentralize authority and allow greater citizen participation in local governance, Oman successfully conducted its first municipal council elections in December 2012. Announced by the Sultan in 2011, the municipal councils will have the power to advise the Royal Court on the needs of local districts across Oman's 11 governorates.
Check out the recommended reading list below for great sources of information on Oman


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There are typically 53 trains that operate daily from London to Manchester Piccadilly, with pre-booked tickets for this journey starting at £12.95.
Cheap Train Tickets from London to Manchester Piccadilly
If you buy a train ticket now for Thursday 11th July 2024 from London to Manchester Piccadilly, the average fare is around £32.70, but the cheapest tickets can be found for just £13.20.
Please note that fares are subject to change based on your search criteria. We kindly ask you to check the prices after searching for your desired routes.
London to Manchester Piccadilly Train Price FAQs
Q: How much does the train from London to Manchester Piccadilly cost?
A: Train tickets from London to Manchester Piccadilly cost as little as £12.95 if you book in advance, and the train fares are often higher when purchased on the day. Ticket prices also vary depending on the time of day, route, and class you book.
Q: What is the average train ticket price from London to Manchester Piccadilly?
A: The average ticket price from London to Manchester Piccadilly is £38.10. Please note that the average ticket price is subject to the railway service provider and the corresponding time, so the current data is for reference purposes only.
Q: How to get cheap train tickets from London to Manchester Piccadilly?
A: You can directly purchase tickets on TrainPal site, but we highly recommend buying them on our App (where you can find more ticket options and coupons!). Train ticket prices may vary depending on the departure time, so please purchase the appropriate ticket based on your actual needs.
Looking for more cheap train ticket ideas?
There are so many places all across the UK and Europe that you can travel to cheaply by train. Use the links below to find out more.