jdbc_streaming

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}" }
      }
    }
[source,ruby]
    # 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.

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}" ]
      }
    }
[source,ruby]
    # 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).

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.

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

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

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.

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 grok filters. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

output {
 stdout {
   id => "my_plugin_id"
 }
}

JDBC connection string

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

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

JDBC user

Connection pool configuration. Validate connection before use.

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

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

Call the filter flush method at regular interval. Optional.

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}" ]
      }
    }
[source,ruby]
    # 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.

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}" ]
      }
    }
[source,ruby]
    # 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.

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

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

Append values to the tags field if sql error occured

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

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