superelasticsearch is utility library that extends a particular version of elasticsearch library to provide some more utility functions on top of it to make using Elasticsearch even easier.
This compatibility table indicates compatibility of SuperElasticsearch with the versions of elasticsearch-py and Elasticsearch. This only means that we have tested SuperElasticsearch with these versions of Elasticsearch and the official Elasticsearch Python client. It may actually work with newer releases. If such is the case, please feel free to updated this table by opening a pull request.
| Elasticsearch | elasticsearch-py | SuperElasticsearch | Release date |
|---|---|---|---|
| 1.7.2 | 1.7.0 | 0.1.0 | Oct 6, 2015 |
superelasticsearch is nothing but a sub-class of the Elasticsearch Python client. It closely follows the API design as the Elasticsearch client library does.
SuperElasticsearch provides a few additional APIs that are sugar coated to simplify using Elasticsearch in Python. These additional APIs are listed as follows:
Iterated search allows you to perform scroll API with ease and helps you reduce
code, especially where you might want to use it in a loop. Iterated search
returns a generator which can be iterated in a loop to get docs in returned by
every Scroll API call. The best part is that the Scroll ID of every scroll is
handled by the itersearch API.
from superelasticsearch import SuperElasticsearch
client = SuperElasticsearch(hosts=['localhost:9200'])
for doc in client.itersearch(index='test_index', doc_type'tweets',
scroll='10m'):
# do something with doc here
pass
Elasitcsearch's Bulk API is extremely helpful but has different semantics. Using Bulk API means manual handling of all the differences in naming of parameters, manual construction of the complex bulk body and all the errors and debugging challenges that come as extra work in the process.
SuperElasticsearch provides a simpler Bulk API that enables you to use Bulk API in a non-bulk fashion.
Example:
from superelasticsearch import SuperElasticsearch
client = SuperElasticsearch(hosts=['localhost:9200'])
bulk = client.bulk_operation()
bulk.index(index='test_index_1', doc_type='test_doc_type',
body=dict(key1='val1'))
bulk.delete(index='test_index_2', doc_type='test_doc_type',
id=123)
bulk.update(index='test_index_3', doc_type='test_doc_type',
id=456, body={
'script': 'ctx._source.count += count',
'params': {
'count': 1
}
})
resp = bulk.execute()
SuperElasticsearch's Bulk Operations do all the book keeping of individual operations that you perform, properly serialize those operations to Bulk APIs requirements and executes the request.
This project is licensed under MIT License.
Copyright (c) 2013 Wingify Software Pvt. Ltd.
See LICENSE.md.