stack es text-structure find-structure cli command

elastic stack es text-structure find-structure [options]
		

Find the structure of a text file.

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--charset string

The text's character set. It must be a character set that is supported by the JVM that Elasticsearch uses. For example, UTF-8, UTF-16LE, windows-1252, or EUC-JP. If this parameter is not specified, the structure finder chooses an appropriate character set.

--column-names string

If you have set format to delimited, you can specify the column names in a comma-separated list. If this parameter is not specified, the structure finder uses the column names from the header row of the text. If the text does not have a header role, columns are named "column1", "column2", "column3", for example.

Repeatable: pass --column-names multiple times to supply more than one value

--delimiter string

If you have set format to delimited, you can specify the character used to delimit the values in each row. Only a single character is supported; the delimiter cannot have multiple characters. By default, the API considers the following possibilities: comma, tab, semi-colon, and pipe (|). In this default scenario, all rows must have the same number of fields for the delimited format to be detected. If you specify a delimiter, up to 10% of the rows can have a different number of columns than the first row.

--ecs-compatibility string

The mode of compatibility with ECS compliant Grok patterns. Use this parameter to specify whether to use ECS Grok patterns instead of legacy ones when the structure finder creates a Grok pattern. Valid values are disabled and v1. This setting primarily has an impact when a whole message Grok pattern such as %{CATALINALOG} matches the input. If the structure finder identifies a common structure but has no idea of meaning then generic field names such as path, ipaddress, field1, and field2 are used in the grok_pattern output, with the intention that a user who knows the meanings rename these fields before using it.

--explain

If this parameter is set to true, the response includes a field named explanation, which is an array of strings that indicate how the structure finder produced its result. If the structure finder produces unexpected results for some text, use this query parameter to help you determine why the returned structure was chosen.

--format enum

The high level structure of the text. Valid values are ndjson, xml, delimited, and semi_structured_text. By default, the API chooses the format. In this default scenario, all rows must have the same number of fields for a delimited format to be detected. If the format is set to delimited and the delimiter is not set, however, the API tolerates up to 5% of rows that have a different number of columns than the first row.

Values: ndjson, xml, delimited, semi_structured_text

--grok-pattern string

If you have set format to semi_structured_text, you can specify a Grok pattern that is used to extract fields from every message in the text. The name of the timestamp field in the Grok pattern must match what is specified in the timestamp_field parameter. If that parameter is not specified, the name of the timestamp field in the Grok pattern must match "timestamp". If grok_pattern is not specified, the structure finder creates a Grok pattern.

--has-header-row

If you have set format to delimited, you can use this parameter to indicate whether the column names are in the first row of the text. If this parameter is not specified, the structure finder guesses based on the similarity of the first row of the text to other rows.

--line-merge-size-limit number

The maximum number of characters in a message when lines are merged to form messages while analyzing semi-structured text. If you have extremely long messages you may need to increase this, but be aware that this may lead to very long processing times if the way to group lines into messages is misdetected.

--lines-to-sample number

The number of lines to include in the structural analysis, starting from the beginning of the text. The minimum is 2. If the value of this parameter is greater than the number of lines in the text, the analysis proceeds (as long as there are at least two lines in the text) for all of the lines. NOTE: The number of lines and the variation of the lines affects the speed of the analysis. For example, if you upload text where the first 1000 lines are all variations on the same message, the analysis will find more commonality than would be seen with a bigger sample. If possible, however, it is more efficient to upload sample text with more variety in the first 1000 lines than to request analysis of 100000 lines to achieve some variety.

--quote string

If you have set format to delimited, you can specify the character used to quote the values in each row if they contain newlines or the delimiter character. Only a single character is supported. If this parameter is not specified, the default value is a double quote ("). If your delimited text format does not use quoting, a workaround is to set this argument to a character that does not appear anywhere in the sample.

--should-trim-fields

If you have set format to delimited, you can specify whether values between delimiters should have whitespace trimmed from them. If this parameter is not specified and the delimiter is pipe (|), the default value is true. Otherwise, the default value is false.

--should-parse-recursively

If the format is ndjson, you can specify whether to parse nested JSON objects recursively. The nested objects are parsed to a maximum depth equal to the default value of the index.mapping.depth.limit setting. Anything beyond that depth is parsed as an object type field. For formats other than ndjson, this parameter is ignored.

--timeout string

The maximum amount of time that the structure analysis can take. If the analysis is still running when the timeout expires then it will be stopped.

--timestamp-field string

The name of the field that contains the primary timestamp of each record in the text. In particular, if the text were ingested into an index, this is the field that would be used to populate the @timestamp field. If the format is semi_structured_text, this field must match the name of the appropriate extraction in the grok_pattern. Therefore, for semi-structured text, it is best not to specify this parameter unless grok_pattern is also specified. For structured text, if you specify this parameter, the field must exist within the text. If this parameter is not specified, the structure finder makes a decision about which field (if any) is the primary timestamp field. For structured text, it is not compulsory to have a timestamp in the text.

--timestamp-format string

The Java time format of the timestamp field in the text. Only a subset of Java time format letter groups are supported: * a

• d
• dd
• EEE
• EEEE
• H
• HH
• h
• M
• MM
• MMM
• MMMM
• mm
• ss
• XX
• XXX
• yy
• yyyy
• zzz Additionally S letter groups (fractional seconds) of length one to nine are supported providing they occur after ss and separated from the ss by a ., , or :. Spacing and punctuation is also permitted with the exception of ?, newline and carriage return, together with literal text enclosed in single quotes. For example, MM/dd HH.mm.ss,SSSSSS 'in' yyyy is a valid override format. One valuable use case for this parameter is when the format is semi-structured text, there are multiple timestamp formats in the text, and you know which format corresponds to the primary timestamp, but you do not want to specify the full grok_pattern. Another is when the timestamp format is one that the structure finder does not consider by default. If this parameter is not specified, the structure finder chooses the best format from a built-in set. If the special value null is specified the structure finder will not look for a primary timestamp in the text. When the format is semi-structured text this will result in the structure finder treating the text as single-line messages.

--text-files string[]

Repeatable: pass --text-files multiple times to supply more than one value

--input-file string

path to a JSON file to use as command input

--dry-run

validate all inputs and exit without performing any action (preview changes without applying them)

--json

output as JSON