This library enables your python applications to use GemFire as a datastore. (GemFire is a distributed key-value store. A short tutorial can be found at http://goo.gl/rF93fn). This library exposes Spring's CrudRepository like methods in an effort to simplify GemFire's APIs while still giving access to advanced GemFire features (details below).
Using pip installation is simple
$ sudo pip install gemfire-rest
or from source:
$ sudo python setup.py install
## Quick Start
1. Start the GemFire REST service by [following the instructions](http://gemfire.docs.pivotal.io/latest/userguide/index.html#gemfire_rest/setup_config.html)
2. Create a Region on the server (Region is a distributed ConcurrentMap in which GemFire stores the data).
gfsh>create region --name=orders --type=PARTITION
>>> from GemfireClient import *
>>> client = GemfireClient(hostname="localhost", port=8080)
>>> myRepo = client.create_repository("orders")
where the order object has an "id" instance variable. The library handles converting the object to/from json.
## API Reference
This library exercises [GemFire's REST APIs](http://gemfire.docs.pivotal.io/latest/userguide/index.html#gemfire_rest/book_intro.html) for enabling your python application to use GemFire as its datastore. To get started, we create a client by providing a hostname and port for an already running endpoint.
client = GemfireClient(hostname="localhost", port=8080)
For each type of Object that we want to store in GemFire, we create a repository (Please not that you will have to create a Region on the server with the same name as the repository).
orders = client.create_repository("orders")
The client provides a method to look up all the Regions that have been created on the server already:
GemfireClient also has methods for querying and function execution which we will see later.
Just like Spring's CrudRepository interface, the following methods are available on the Repository
save(entities) #saves one or more entities in GemFire
find(ids) #finds entities with the given ids
find_all() #returns all data in region
exists(id) #checks to see if an entity with the given id exists
delete(entities) #deletes the given entities from GemFire
delete_all() #deletes all data in the GemFire region
As the naming suggests, intention of these methods is pretty clear. One thing that needs to be highlighted here is that all entities need an identity; this library uses "id" instance variable as identity. So all entities that are stored in GemFire need to have an instance variable named "id".
For advanced operations, we also provide access to Region, which defines the following methods:
create(key, value) #will insert only if key does not exists
update(key, value) #will update only if the key exists
keys() # returns all keys in the region
compare_and_set(key, oldvalue, newvalue) #sets the key to newvalue only if current value is equal ot oldvalue
GemfireClient provides API for running ad-hoc [OQL queries](http://gemfire.docs.pivotal.io/latest/userguide/index.html#developing/querying_basics/chapter_overview.html) on the server.
adhoc_query(query_string) #OQL query string
For faster performance, you will want to run prepared OQL queries. GemfireClient provides the following APIs for this:
new_query(query_id, query_string) #registers and prepares the OQL query on the server
run_query(query_id, query_args) #runs the query with specified parameters
TODO: Brief introduction on what you do with files - including link to relevant help section.