The power of docker compose

README.md

How easy is to quick test and prototype

Nowadays docker compose is getting life so much easy for developers.

Let's say I want to quickly test some python code on elasticsearch... I just need to have a compose file like the one below, and then from the same directory:

docker-compose up -d
docker-compose exec py ash

$ pip install --upgrade ipython elasticsearch
[...]

$ ipython

In [1]: from elasticsearch import Elasticsearch

In [2]: el = Elasticsearch([{'host': 'el'}]) # connect to the other container

In [3]: el.index(index='myindex', doc_type='doc', body={'test': 'hello one'})
Out[3]:
{'_index': 'myindex',
 '_type': 'doc',
 '_id': 'UE978mMBWF94z-2fd4x_',
 '_version': 1,
 'result': 'created',
 '_shards': {'total': 2, 'successful': 1, 'failed': 0},
 '_seq_no': 0,
 '_primary_term': 1}

In [4]: el.index(index='myindex', doc_type='doc', body={'test': 'hello two'})
Out[4]:
{'_index': 'myindex',
 '_type': 'doc',
 '_id': 'UU978mMBWF94z-2fhIy0',
 '_version': 1,
 'result': 'created',
 '_shards': {'total': 2, 'successful': 1, 'failed': 0},
 '_seq_no': 0,
 '_primary_term': 1}

In [5]: el.search(index='myindex', size=10000, body={"query": {'match_all' : {}}
   ...: })
Out[5]:
{'took': 103,
 'timed_out': False,
 '_shards': {'total': 5, 'successful': 5, 'skipped': 0, 'failed': 0},
 'hits': {'total': 2,
  'max_score': 1.0,
  'hits': [{'_index': 'myindex',
    '_type': 'doc',
    '_id': 'UE978mMBWF94z-2fd4x_',
    '_score': 1.0,
    '_source': {'test': 'hello one'}},
   {'_index': 'myindex',
    '_type': 'doc',
    '_id': 'UU978mMBWF94z-2fhIy0',
    '_score': 1.0,
    '_source': {'test': 'hello two'}}]}}

And finally to clean up correctly the resources:

# 1. stop containers
# 2. remove containers
# 3. remove networks from compose
# 4. remove volumes from compose
docker-compose down -v

docker-compose.yml

version: '3'
services:
 el:
   image: docker.elastic.co/elasticsearch/elasticsearch:6.2.4
 py:
   image: python:3.6.5-alpine3.6
   command: sleep 1234567890

# ## uncomment here to have your current directory code accessible inside the python container
# volumes:
#   - .:/tmp/code