Csv filter plugin
editCsv filter plugin
edit- Plugin version: v3.0.4
- Released on: 2017-06-23
- Changelog
Getting Help
editFor questions about the plugin, open a topic in the Discuss forums. For bugs or feature requests, open an issue in Github. For the list of Elastic supported plugins, please consult the Elastic Support Matrix.
Description
editThe CSV filter takes an event field containing CSV data, parses it, and stores it as individual fields (can optionally specify the names). This filter can also parse data with any separator, not just commas.
Csv Filter Configuration Options
editThis plugin supports the following configuration options plus the Common Options described later.
Setting | Input type | Required |
---|---|---|
No |
||
No |
||
No |
||
No |
||
No |
||
No |
||
No |
||
No |
||
No |
Also see Common Options for a list of options supported by all filter plugins.
autodetect_column_names
edit- Value type is boolean
-
Default value is
false
Define whether column names should be auto-detected from the header column or not. Defaults to false.
autogenerate_column_names
edit- Value type is boolean
-
Default value is
true
Define whether column names should autogenerated or not. Defaults to true. If set to false, columns not having a header specified will not be parsed.
columns
edit- Value type is array
-
Default value is
[]
Define a list of column names (in the order they appear in the CSV,
as if it were a header line). If columns
is not configured, or there
are not enough columns specified, the default column names are
"column1", "column2", etc. In the case that there are more columns
in the data than specified in this column list, extra columns will be auto-numbered:
(e.g. "user_defined_1", "user_defined_2", "column3", "column4", etc.)
convert
edit- Value type is hash
-
Default value is
{}
Define a set of datatype conversions to be applied to columns. Possible conversions are integer, float, date, date_time, boolean
Example:
filter { csv { convert => { "column1" => "integer" "column2" => "boolean" } } }
quote_char
edit- Value type is string
-
Default value is
"\""
Define the character used to quote CSV fields. If this is not specified
the default is a double quote "
.
Optional.
separator
edit- Value type is string
-
Default value is
","
Define the column separator value. If this is not specified, the default
is a comma ,
. If you want to define a tabulation as a separator, you need
to set the value to the actual tab character and not \t
.
Optional.
skip_empty_columns
edit- Value type is boolean
-
Default value is
false
Define whether empty columns should be skipped. Defaults to false. If set to true, columns containing no value will not get set.
Common Options
editThe following configuration options are supported by all filter plugins:
Setting | Input type | Required |
---|---|---|
No |
||
No |
||
No |
||
No |
||
No |
||
No |
||
No |
add_field
edit- Value type is hash
-
Default value is
{}
If this filter is successful, add any arbitrary fields to this event.
Field names can be dynamic and include parts of the event using the %{field}
.
Example:
filter { PLUGIN_NAME { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" } } }
# You can also add multiple fields at once: filter { PLUGIN_NAME { add_field => { "foo_%{somefield}" => "Hello world, from %{host}" "new_field" => "new_static_value" } } }
If the event has field "somefield" == "hello"
this filter, on success,
would add field foo_hello
if it is present, with the
value above and the %{host}
piece replaced with that value from the
event. The second example would also add a hardcoded field.
add_tag
edit- Value type is array
-
Default value is
[]
If this filter is successful, add arbitrary tags to the event.
Tags can be dynamic and include parts of the event using the %{field}
syntax.
Example:
filter { PLUGIN_NAME { add_tag => [ "foo_%{somefield}" ] } }
# You can also add multiple tags at once: filter { PLUGIN_NAME { add_tag => [ "foo_%{somefield}", "taggedy_tag"] } }
If the event has field "somefield" == "hello"
this filter, on success,
would add a tag foo_hello
(and the second example would of course add a taggedy_tag
tag).
enable_metric
edit- Value type is boolean
-
Default value is
true
Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.
id
edit- Value type is string
- There is no default value for this setting.
Add a unique ID
to the plugin instance, this ID
is used for tracking
information for a specific configuration of the plugin.
output { stdout { id => "ABC" } }
If you don’t explicitely set this variable Logstash will generate a unique name.
periodic_flush
edit- Value type is boolean
-
Default value is
false
Call the filter flush method at regular interval. Optional.
remove_field
edit- Value type is array
-
Default value is
[]
If this filter is successful, remove arbitrary fields from this event. Fields names can be dynamic and include parts of the event using the %{field} Example:
filter { PLUGIN_NAME { remove_field => [ "foo_%{somefield}" ] } }
# You can also remove multiple fields at once: filter { PLUGIN_NAME { remove_field => [ "foo_%{somefield}", "my_extraneous_field" ] } }
If the event has field "somefield" == "hello"
this filter, on success,
would remove the field with name foo_hello
if it is present. The second
example would remove an additional, non-dynamic field.
remove_tag
edit- Value type is array
-
Default value is
[]
If this filter is successful, remove arbitrary tags from the event.
Tags can be dynamic and include parts of the event using the %{field}
syntax.
Example:
filter { PLUGIN_NAME { remove_tag => [ "foo_%{somefield}" ] } }
# You can also remove multiple tags at once: filter { PLUGIN_NAME { remove_tag => [ "foo_%{somefield}", "sad_unwanted_tag"] } }
If the event has field "somefield" == "hello"
this filter, on success,
would remove the tag foo_hello
if it is present. The second example
would remove a sad, unwanted tag as well.