rawes is an elasticsearch driver for Python. It provides a small level of abstraction above the requests library - enough abstraction to be useful, but not so much to obscure elasticsearch's great native api
- elasticsearch native API support
- Python 3 support
- gzip over HTTP support
- HTTPS support
- Thrift support
$ pip install rawes
Create a connection to elasticsearch
import rawes
es = rawes.Elastic('localhost:9200')
Search for a document
es.get('tweets/tweet/_search', data={
'query' : {
'match_all' : {}
}
})
The rawes.Elastic constructor takes the following parameters (defaults shown):
rawes.Elastic(
url='http://localhost:9200', # Protocol, host, and port of elasticsearch service. Can be a list of hosts.
# Valid protocols: http, https, thrift
# Default protocol is http, unless port is in range 9500-9600, then thrift
# Default ports: http=9200, https=443, thrift=9500
timeout=30, # Timeout in seconds,
**kwrgs # http(s) only: additional parameters you wish to pass
# to the python 'requests' library (for example, basic auth)
)
Constructor examples:
es = rawes.Elastic() # will connect to: http://localhost:9200
es = rawes.Elastic('https://localhost') # will connect to: https://localhost:443
es = rawes.Elastic('thrift://localhost') # will connect to: thrift://localhost:9500
es = rawes.Elastic('https://example.org:8443', auth=('user','pass')) # https with basic auth connection to: https://example.org:8443
es = rawes.Elastic(['http://host1:9200', 'http://host2:9200', 'http://host3:9200']) # Each call will be issued to a different host, default is RoundRobin strategy
An instance of rawes.Elastic ('es' in this case) has methods for get, post, put, delete, and head (for each http verb). Each method takes the following parameters (defaults shown):
es.get(
path='', # http URL path
data='', # http body. can be either a string or a python dictionary (will automatically be converted to JSON)
params={}, # http URL params passed as a python dictionary
headers={}, # http headers as a python dictionary
**kwargs # additional parameters you wish to pass to the python 'requests' library or the thrift RestRequest
# Examples: headers, basic auth
)
Create a new document in the twitter index of type tweet with id 1
es.put('tweets/tweet/1', data={
'user' : 'dwnoble',
'post_date' : '2012-8-27T08:00:30Z',
'message' : 'Tweeting about elasticsearch'
})
es.put('blogs/post/2', data={
'user' : 'dan',
'post_date' : '2012-8-27T09:30:03Z',
'title' : 'Elasticsearch',
'body' : 'Blogging about elasticsearch'
})
Search for a document, specifying http params
es.get('tweets/tweet/_search', data={
'query' : {
'match_all' : {}
}
}, params= {
'size': 2
})
Search for a document with a JSON string
es.get('tweets,blogs/_search', data="""
{
"query" : {
"match_all" : {}
}
}
""")
Update a document
es.put('someindex/sometype/123', data={
'value' : 100,
'other' : 'stuff'
})
es.post('someindex/sometype/123/_update', data={
'script' : 'ctx._source.value += value',
'params' : {
'value' : 50
}
})
Delete a document
es.delete('tweets/tweet/1')
Bulk load
bulk_body = '''
{"index" : {}}
{"key":"value1"}
{"index" : {}}
{"key":"value2"}
{"index" : {}}
{"key":"value3"}
'''
es.post('someindex/sometype/_bulk', data=bulk_body)
bulk_list = [
{"index" : {}},
{"key":"value4"},
{"index" : {}},
{"key":"value5"},
{"index" : {}},
{"key":"value6"}
]
# Remember to include the trailing \n character for bulk inserts
bulk_body_2 = '\n'.join(map(json.dumps, bulk_list))+'\n'
es.post('someindex/sometype/_bulk', data=bulk_body_2)
Instead of setting the first argument of a es.<http verb> call to the HTTP URL path, you can also use python attributes and item accessors to build up the url path. For example:
es.post('tweets/tweet/', data={
'user' : 'dwnoble',
'post_date' : '2012-8-27T09:15:59',
'message' : 'More tweets about elasticsearch'
})
Becomes:
es.tweets.tweet.post(data={
'user' : 'dwnoble',
'post_date' : '2012-8-27T09:15:59',
'message' : 'More tweets about elasticsearch'
})
Or using item accessors ([] notation). This can be useful for characters that are not allowed in python attributes:
es['tweets']['tweet'].post(data={
'user' : 'dwnoble',
'post_date' : '2012-8-27T09:15:59',
'message' : 'More tweets about elasticsearch'
})
More examples:
Searching the "tweets" index for documents of type "tweets"
es.tweets.tweet._search.get(data={'query' : {'match_all' : {} }})
Searching the "tweets" and "blogs" index for documents of any type using a JSON strings
es['tweets,blogs']._search.get(data='{"query" : {"match_all" : {}}}')
By default, rawes will encode datetimes (timezone required!) to UTC ISO8601 strings with 'second' precision before handing the JSON off to elasticsearch. If elasticsearch has no mapping defined, this will result in the default mapping of 'dateOptionalTime.' Timezones are required for this automatic serialization: you may want to use a python module like python-dateutil (Python 2.x only) or pytz to make your life easier.
from datetime import datetime
from dateutil import tz
eastern_timezone = tz.gettz('America/New_York')
es.put('tweets/tweet/99', data={
'user' : 'dwnoble',
'post_date' : datetime(2012, 8, 27, 8, 0, 30, tzinfo=eastern_timezone),
'message' : 'Tweeting about elasticsearch'
})
es.get('tweets/tweet/99')['_source']['post_date']
# Returns:
u'2012-08-27T12:00:30Z'
Alternatively, you can specify a custom JSON encoder using the json_encoder parameter:
from datetime import datetime
from dateutil import tz
eastern_timezone = tz.gettz('America/New_York')
def encode_custom(obj):
if isinstance(obj, datetime):
return obj.astimezone(tz.tzutc()).strftime('%Y-%m-%d')
raise TypeError(repr(obj) + " is not JSON serializable")
es.put('tweets/tweet/445', data={
'user' : 'dwnoble',
'post_date' : datetime(2012, 11, 12, 9, 45, 45, tzinfo=eastern_timezone),
'message' : 'Tweeting about elasticsearch'
}, json_encoder=encode_custom)
es.get('tweets/tweet/445')['_source']['post_date']
# Returns:
u'2012-11-12'
Additionally, a default JSON encoder can be specified in the rawes.Elastic constructor:
import rawes
from datetime import datetime
from dateutil import tz
eastern_timezone = tz.gettz('America/New_York')
def encode_custom(obj):
if isinstance(obj, datetime):
return obj.astimezone(tz.tzutc()).strftime('%Y-%m-%d')
raise TypeError(repr(obj) + " is not JSON serializable")
es = rawes.Elastic("http://localhost:9200", json_encoder=encode_custom)
es.put('tweets/tweet/445', data={
'user' : 'dwnoble',
'post_date' : datetime(2012, 11, 12, 9, 45, 45, tzinfo=eastern_timezone),
'message' : 'Tweeting about elasticsearch'
})
es.get('tweets/tweet/445')['_source']['post_date']
# Returns:
u'2012-11-12'
Like with JSON encoding, a custom JSON decoder may be specified as well to parse elasticsearch results. A common use case here may be parsing ISO8601 dates to python datetime objects.
Index a document with a ISO8601 formatted date string:
import rawes
es = rawes.Elastic()
es.put('blogs/post/3', data={
'user' : 'dan',
'post_date' : '2013-7-04T23:14:53Z',
'title' : 'Elasticsearch 2',
'body' : 'More blogging about elasticsearch'
})
Define a custom JSON decoder:
import json
import pytz
import dateutil.parser
class Iso8601JsonDecoder(json.JSONDecoder):
"""
Automatically decode ISO8601 strings with key "post_date" to python datetime objects in UTC timezone
"""
def __init__(self):
json.JSONDecoder.__init__(self, object_hook=self.dict_to_object)
def dict_to_object(self, d):
for k,v in d.iteritems():
if k == "post_date":
d[k] = dateutil.parser.parse(v)
return d
iso8601_json_decoder = Iso8601JsonDecoder()
Now retrieve this document using our JSON decoder
es.get("blogs/post/3")["_source"]["post_date"]
# returns:
# u'2013-7-04T23:14:53Z'
es.get("blogs/post/3",json_decoder=iso8601_json_decoder.decode)["_source"]["post_date"]
# returns:
# datetime.datetime(2013, 7, 4, 23, 14, 53, tzinfo=tzutc())
es_default_decoder = rawes.Elastic(json_decoder=iso8601_json_decoder.decode)
es_default_decoder.get("blogs/post/3")["_source"]["post_date"]
# returns:
# datetime.datetime(2013, 7, 4, 23, 14, 53, tzinfo=tzutc())
As of version 0.5, the rawes.Elastic constructor throws a rawes.elastic_exception.ElasticException any time elasticsearch returns an http status code of 400 or greater.
from rawes.elastic_exception import ElasticException
es = rawes.Elastic('localhost:9200')
try:
es.get('invalid_index/invalid_type/123')
except ElasticException as e:
# since our index is invalid, this exception handler will run
print e.result
# prints: {u'status': 404, u'error': u'IndexMissingException[[invalid_index] missing]'}
print e.status_code
# prints: 404
Thrift is supported for Python 2.x versions only. Before thrift will work with rawes, you must install the thrift python module
$ pip install thrift
By default, connections on ports between 9500 and 9600 will use thrift
import rawes
es_thrift = rawes.Elastic('localhost:9500')
If you are using thrift on a non standard port, specify a 'thrift://' url
import rawes
es_thrift = rawes.Elastic('thrift://localhost:8500')
rawes supports connection pooling of elasticsearch hosts:
import rawes
es = rawes.Elastic(['http://host1:9200', 'http://host2:9200', 'http://host3:9200'])
The class cycles through these hosts in a round robin fashion with each request method call.
You can change the connection pool strategy, or other connection pool parameters, by passing options to the rawes.Elastic
constructor's connection_pool_kwargs
argument:
import rawes
es = rawes.Elastic(['http://host1:9200', 'http://host2:9200', 'http://host3:9200'], connection_pool_kwargs={
"selector_class" : rawes.connection_pool.RandomSelector
})
See rawes/connection_pool.py for details on all available parameters.
The conncetion pooling implementation used is from the elasticsearch-py project.
rawes' unit tests require the python thrift and mock modules to run:
$ pip install thrift
$ pip install mock
Run tests:
$ python -m unittest tests
Run tests for Python 3 (no thrift tests, no need to "pip install thrift")
$ python3 -m unittest tests.py3k
Apache 2.0 License