pip-services3-elasticsearch 3.1.3

ElasticSearch components for Pip.Services in Python

ElasticSearch components for Python

This module is a part of the Pip.Services polyglot microservices toolkit.

The Elasticsearch module contains logging components with data storage on the Elasticsearch server.

The module contains the following packages:

• Build - contains a factory for the construction of components
• Log - Logging components

Quick links:

• Configuration
• Logging
• Virtual memory configuration
• API Reference
• Change Log
• Get Help
• Contribute

Use

Install the Python package as

pip install pip-services3-elasticsearch

Microservice components shall perform logging usual way using CompositeLogger component. The CompositeLogger will get ElasticSearchLogger from references and will redirect log messages there among other destinations.

from pip_services3_commons.config import IConfigurable
from pip_services3_commons.refer import IReferenceable
from pip_services3_components.log import CompositeLogger


class MyComponent(IConfigurable, IReferenceable):
    def __init__(self):
        super(MyComponent, self).__init__()
        self.__logger = CompositeLogger()

    def configure(self, config):
        self.__logger.configure(config)

    def set_references(self, references):
        self.__logger.set_references(references)

    def my_method(self, correlation_id, param1):
        self.__logger.trace(correlation_id, 'Executed method mycomponent.mymethod')
        # ...

Configuration for your microservice that includes ElasticSearch logger may look the following way.

...
{{#if ELASTICSEARCH_ENABLED}}
- descriptor: pip-services:logger:elasticsearch:default:1.0
  connection:
    uri: {{{ELASTICSEARCG_SERVICE_URI}}}
    host: {{{ELASTICSEARCH_SERVICE_HOST}}}{{#unless ELASTICSEARCH_SERVICE_HOST}}localhost{{/unless}}
    port: {{ELASTICSEARCG_SERVICE_PORT}}{{#unless ELASTICSEARCH_SERVICE_PORT}}9200{{/unless}}\ 
{{/if}}
...

Develop

For development you shall install the following prerequisites:

• Python 3.7+
• Visual Studio Code or another IDE of your choice
• Docker

Install dependencies:

pip install -r requirements.txt

Run automated tests:

python test.py

Generate API documentation:

./docgen.ps1

Before committing changes run dockerized build and test as:

./build.ps1
./test.ps1
./clear.ps1

Configure the vm.max_map_count

sudo sysctl -w vm.max_map_count=262144

fixes:
max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

Typed vs Type-less indexes

ES version 7 stopped supporting "types" and encouraged a separation of disperate data into different indexes. By default, this version of pip-services3-elasticsearch-node will support 7.x type-less indexes. You can support to the 6.x "typed" approach by setting the include_type_name option to true. This allows it to work with either 6.x or 7.x ElasticSearch servers.

You can read more about how this is accomplished here

Contacts

The library is created and maintained by Sergey Seroukhov.

The documentation is written by:

• Mark Makarychev