Jdbc_streaming filter plugin v1.0.1

edit
  • Plugin version: v1.0.1
  • Released on: 2017-06-23
  • Changelog

For other versions, see the overview list.

To learn more about Logstash, see the Logstash Reference.

Getting help

edit

For 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

edit

This filter executes a SQL query and store the result set in the field specified as target. It will cache the results locally in an LRU cache with expiry

For example you can load a row based on an id from in the event

filter {
  jdbc_streaming {
    jdbc_driver_library => "/path/to/mysql-connector-java-5.1.34-bin.jar"
    jdbc_driver_class => "com.mysql.jdbc.Driver"
    jdbc_connection_string => ""jdbc:mysql://localhost:3306/mydatabase"
    jdbc_user => "me"
    jdbc_password => "secret"
    statement => "select * from WORLD.COUNTRY WHERE Code = :code"
    parameters => { "code" => "country_code"}
    target => "country_details"
  }
}

Jdbc_streaming Filter Configuration Options

edit

This plugin supports the following configuration options plus the Common options described later.

Also see Common options for a list of options supported by all filter plugins.

 

cache_expiration

edit
  • Value type is number
  • Default value is 5.0

The minimum number of seconds any entry should remain in the cache, defaults to 5 seconds A numeric value, you can use decimals for example { "cache_expiration" => 0.25 } If there are transient jdbc errors the cache will store empty results for a given parameter set and bypass the jbdc lookup, this merges the default_hash into the event, until the cache entry expires, then the jdbc lookup will be tried again for the same parameters Conversely, while the cache contains valid results any external problem that would cause jdbc errors, will not be noticed for the cache_expiration period.

cache_size

edit
  • Value type is number
  • Default value is 500

The maximum number of cache entries are stored, defaults to 500 entries The least recently used entry will be evicted

default_hash

edit
  • Value type is hash
  • Default value is {}

Define a default object to use when lookup fails to return a matching row. ensure that the key names of this object match the columns from the statement

jdbc_connection_string

edit
  • This is a required setting.
  • Value type is string
  • There is no default value for this setting.

JDBC connection string

jdbc_driver_class

edit
  • This is a required setting.
  • Value type is string
  • There is no default value for this setting.

JDBC driver class to load, for example "oracle.jdbc.OracleDriver" or "org.apache.derby.jdbc.ClientDriver"

jdbc_driver_library

edit
  • Value type is path
  • There is no default value for this setting.

Tentative of abstracting JDBC logic to a mixin for potential reuse in other plugins (input/output) This method is called when someone includes this module Add these methods to the base given. JDBC driver library path to third party driver library.

jdbc_password

edit
  • Value type is password
  • There is no default value for this setting.

JDBC password

jdbc_user

edit
  • Value type is string
  • There is no default value for this setting.

JDBC user

jdbc_validate_connection

edit
  • Value type is boolean
  • Default value is false

Connection pool configuration. Validate connection before use.

jdbc_validation_timeout

edit
  • Value type is number
  • Default value is 3600

Connection pool configuration. How often to validate a connection (in seconds)

parameters

edit
  • Value type is hash
  • Default value is {}

Hash of query parameter, for example { "id" => "id_field" }

statement

edit
  • This is a required setting.
  • Value type is string
  • There is no default value for this setting.

Statement to execute. To use parameters, use named parameter syntax, for example "SELECT * FROM MYTABLE WHERE ID = :id"

tag_on_default_use

edit
  • Value type is array
  • Default value is ["_jdbcstreamingdefaultsused"]

Append values to the tags field if no record was found and default values were used

tag_on_failure

edit
  • Value type is array
  • Default value is ["_jdbcstreamingfailure"]

Append values to the tags field if sql error occured

target

edit
  • This is a required setting.
  • Value type is string
  • There is no default value for this setting.

Define the target field to store the extracted result(s) Field is overwritten if exists

use_cache

edit
  • Value type is boolean
  • Default value is true

Enable or disable caching, boolean true or false, defaults to true

Common options

edit

These configuration options are supported by all filter plugins:

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 {
      jdbc_streaming {
        add_field => { "foo_%{somefield}" => "Hello world, from %{host}" }
      }
    }
    # You can also add multiple fields at once:
    filter {
      jdbc_streaming {
        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 {
      jdbc_streaming {
        add_tag => [ "foo_%{somefield}" ]
      }
    }
    # You can also add multiple tags at once:
    filter {
      jdbc_streaming {
        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.

  • Value type is string
  • There is no default value for this setting.

Add a unique ID to the plugin configuration. If no ID is specified, Logstash will generate one. It is strongly recommended to set this ID in your configuration. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 jdbc_streaming filters. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

    filter {
      jdbc_streaming {
        id => "ABC"
      }
    }

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 {
      jdbc_streaming {
        remove_field => [ "foo_%{somefield}" ]
      }
    }
    # You can also remove multiple fields at once:
    filter {
      jdbc_streaming {
        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 {
      jdbc_streaming {
        remove_tag => [ "foo_%{somefield}" ]
      }
    }
    # You can also remove multiple tags at once:
    filter {
      jdbc_streaming {
        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.