ElasticSearchLogger

Logger that dumps execution logs to ElasticSearch service.

Implements: CachedLogger, IReferenceable, IOpenable

Description

The ElasticSearchLogger class allows you to create loggers that dump execution logs to an ElasticSearch service.

Important points

  • Elasticsearch is a popular search index. It is often used to store and index execution logs by itself or as a part of ELK (ElasticSearch - Logstash - Kibana) stack.
  • Authentication is not supported in this version.

Configuration parameters

  • level: maximum log level to capture
  • source: source (context) name

connection(s):

  • discovery_key: (optional) a key to retrieve the connection from IDiscovery
  • protocol: connection protocol: http or https
  • host: host name or IP address
  • port: port number
  • uri: resource URI or connection string with all parameters in it

options:

  • interval: interval in milliseconds to save log messages (default: 10 seconds)
  • max_cache_size: maximum number of messages stored in this cache (default: 100)
  • index: ElasticSearch index name (default: “log”)
  • date_format: date format used to create the index name. Eg. log-YYYYMMDD (default: “YYYYMMDD”).
  • daily: True to create a new index every day by adding a date suffix to the index name (default: False)
  • reconnect: reconnect timeout in milliseconds (default: 60 sec)
  • timeout: invocation timeout in milliseconds (default: 30 sec)
  • max_retries: maximum number of retries (default: 3)
  • index_message: True to enable indexing for message object (default: False)
  • include_type_name: will create using a “typed” index compatible with ElasticSearch 6.x (default: false)

References

  • *:discovery:*:*:1.0 - (optional) IDiscovery services
  • *:context-info:*:*:1.0 - (optional) ContextInfo to detect the context id and specify the counter’s source.

Constructors

Creates a new instance of the logger.

ElasticSearchLogger()

Instance methods

close

Closes the component and frees used resources.

close(correlation_id: Optional[str])

  • correlation_id: Optional[str] - (optional) transaction id used to trace execution through the call chain.

configure

Closes the component and frees used resources.

configure(config: ConfigParams)

  • config: ConfigParams - configuration parameters to be set.

is_open

Checks if the component is open.

is_open(): bool

  • returns: bool - True if the component is open and False otherwise.

open

Opens the component.

open(correlation_id: Optional[str])

  • correlation_id: Optional[str] - (optional) transaction id used to trace execution through the call chain.

_save

Saves log messages from the cache.

_save(messages: List[LogMessage])

  • messages: List[LogMessage] - list with log messages

set_references

Sets references to dependent components.

set_references(references: IReferences)

  • messages: List[LogMessage] - references to locate the component’s dependencies.

Examples

logger = ElasticSearchLogger()
logger.configure(ConfigParams.from_tuples(
    "connection.protocol", "http",
    "connection.host", "localhost",
    "connection.port", 9200
))

try:
    logger.open("123")
except Exception as err:
    logger.error("123", err, "Error occured: {}", err.message)
    # do something

logger.debug("123", "Everything is OK.");