Orchestrate API for Ruby
Ruby client interface for the Orchestrate.io REST API.
Getting Started
The Orchestrate Gem provides two interfaces currently, the method client and the object client. The method client is a solid but basic interface that provides a single entry point to an Orchestrate Application. The object client uses the method client under the hood, and maps Orchestrate's domain objects (Collections, KeyValues, etc) to Ruby classes, and is still very much in progress. This guide will show you how to use both.
Object client use
Setup the Application and a Collection
app = Orchestrate::Application.new(api_key)
users = app[:users]
Changing Data centers
By default, the host data center is AWS US East (https://api.orchestrate.io). To use another data center, such as AWS EU West, then you must initialize the client with the host URL http://api.aws-eu-west-1.orchestrate.io/.
host = "https://api.aws-eu-west-1.orchestrate.io/"
app = Orchestrate::Application.new(api_key, host)
Store some KeyValues, List them
users[:joe] = { "name" => "Joe" } # PUTs joe, returns the input, as per Ruby convention on #[]=
users.set(:jack, { "name" => "Jack" }) # PUTs jack, returns a KeyValue
users.create(:jill, { "name" => "Jill" }) # PUT-If-Absent jill, returns a KeyValue
users << { "name" => "Unknown" } # POSTs the body, returns a KeyValue
users.map {|user| [user.key, user.ref]} # enumerates over ALL items in collection
Manipulate KeyValues
jill = users[:jill]
jill[:name] # "Jill"
jill[:location] = "On the Hill"
jill.value # { "name" => "Jill", "location" => "On the Hill" }
jill.save # PUT-If-Match, updates ref
Manipulate KeyValues with PATCH
jill.merge({location: "Under the Hill"}) # Updates jill by merging given partial value into existing value
# Patch Operations
jill.add('favorite_sibling', 'Jack').update # adds new field/value pair to jill
jill.remove('favorite_sibling').update # removes given field/value pair from jill
jill.replace('on_the_hill', false).update # replaces given field with given value
jill.move('name', 'first_name').update # moves given field's value to new field
jill.copy('first_name', 'full_name').update # copies given field's value to another field
jill.increment('age', 1).update # increments given field (must have numeric value) by provided amount
jill.decrement('years_to_live', 1).update # decrements given field (must have numeric value) by provided amount
jill.test('full_name', 'Jill').update # tests equality of existing field/value pair with given field/value
# Patch Operations can be chained together to perform multiple updates to a KeyValue item
jill.add('favorite_food', 'Pizza').remove('years_to_live').update()
Searching, Sorting for KeyValues
users.search("name:Jill").find # returns users with name "Jill"
users.search("name:Jill").order(:created_at).find # returns users with name "Jill" in ascending order
The order
method accepts multiple arguments, allowing you to sort search results based multiple parameters. When providing multiple field names to sort by each even-numbered argument must be either :asc
or :desc
.
users.search("location: Portland").order(:name, :asc, :rank, :desc).find
By default, odd-numbered arguments will be sorted in ascending order.
users.search("location: Portland").order(:name).find # returns users in ascending order by name
users.search("location: Portland").order(:name, :asc, :rank, :desc, :created_at).find # :created_at argument defaults to :asc
Geo Queries
# Create a Collection object
cafes = app[:cafes]
# Find cafes near a given geographic point
cafes.near(:location, 12.56, 19.443, 4, 'mi').find # returns cafes in a 4 mile radius of given latitude, longitude
# Sort nearby cafes by distance
cafes.near(:location, 12.56, 19.443, 4, 'mi').order(:distance).find # returns nearby cafes in ascending order (closest to farthest)
# Find cafes in a given area using a bounding box
cafes.in(:location, {north:12.5, east:57, south:12, west:56}).find # returns all cafes within specified bounding box
Aggregate Functions
# Statistical Aggregate
products.search("*").aggregate # Start the search query and aggregate param builder
.stats("price") # statistics on the price field for products matching the query
.find # return SearchResults object to execute our query
.each_aggregate # return enumerator for iterating over each aggregate result
# Range Aggregate
products.search("*").aggregate # Start the search query and aggregate param builder
.range("num_sold") # set field for range function
.below(99) # count items with num_sold value below 99
.between(1, 10) # count items with num_sold value between 1 & 10
.above(5) # count items with num_sold value above 5
.find # return SearchResults object to execute our query
.each_aggregate # return enumerator for iterating over each aggregate result
# Distance Aggregate
cafes.near(:location, 12, 19, 4, 'mi').aggregate # Start the near search query and aggregate param builder
.distance("location") # set field for distance function
.below(3) # count cafes within 3 miles of given geographic point
.between(3, 4) # count cafes between 3 and 4 miles of given geographic point
.above(1) # count cafes beyond 1 mile of given geographic point
.find # return SearchResults object to execute our query
.each_aggregate # return enumerator for iterating over each aggregate result
# Time-Series Aggregate
# Accepted intervals are: year, quarter, month, week, day, and hour
comments.search("*").aggregate # Start the near search query and aggregate param builder
.time_series("posted", "day") # get count of comments posted by day
.time_zone("+1100") # set a specific time zone
.find # return SearchResults object to execute our query
.each_aggregate # return enumerator for iterating over each aggregate result
# Multiple Aggregate Functions
products.search("*").aggregate # Start the search query and aggregate param builder
.stats("price") # statistics on the price field for products matching the query
.range("num_sold") # set field for range function
.below(99) # count items with num_sold value below 99
.find # return SearchResults object to execute our query
.each_aggregate # return enumerator for iterating over each aggregate result
Events
steve = users['Steve']
# create new events
steve.events['wall_post'] << { text: "Hello!" }
steve.events['activities'] << { text: "first post" }
# search for events
users.search('first post').kinds('event').find
# search for 'wall_post' events
users.search('Hello').kinds('event').types('wall_post').find
Method Client use
Create a Client
# method client
client = Orchestrate::Client.new(api_key)
# EU data center
host = "https://api.aws-eu-west-1.orchestrate.io/"
client = Orchestrate::Client.new(api_key, host)
Query Collections, Keys and Values
# method client
client.put(:users, :jane, {"name"=>"Jane"}) # PUTs jane, returns API::ItemResponse
jack = client.get(:users, :jack) # GETs jack, returns API::ItemResponse
client.delete(:users, :jack, jack.ref) # DELETE-If-Match, returns API::Response
client.list(:users) # LIST users, returns API::CollectionResposne
Manipulate KeyValues with PATCH
# Give a set of operations to manipulate a given key
# Operations are executed in sequential order
ops = [
{ "op" => "add", "path" => "nimble", "value" => true }, # adds new field/value pair
{ "op" => "remove", "path" => "nimble" }, # removes given field/value pair
{ "op" => "replace", "path" => "quick", "value" => true }, # replaces given field with given value
{ "op" => "move", "from" => "name", "path" => "first_name" }, # moves given field's value to new field
{ "op" => "copy", "from" => "city", "path" => "home_town" }, # copies given field's value to another field
{ "op" => "inc", "path" => "age", "value" => 1 }, # increment a numeric value at a given path
{ "op" => "inc", "path" => "age", "value" => -1 }, # pass a negative number to decrement a numeric value
{ "op" => "test", "path" => "first_name", "value" => "Jack" }, # tests equality of existing field/value pair with given field/value
]
client.patch(:users, :jack, ops)
# Merge partial values into existing key
client.patch_merge(:users, :jack, { favorite_food: "Donuts" })
Search Collections
client.search(:users, "location:Portland") # search 'users' collection for items with a location of 'Portland'
Sorting Collections
client.search(:users, "location:Portland", { sort: "value.name:desc" }) # returns items sorted by a field name in descending order
client.search(:users, "location:Portland", { sort: "value.name:asc" }) # returns items sorted by a field name in ascending order
client.search(:users, "location:Portland", { sort: "value.name.last:asc,value.name.first:asc" }) # returns items sorted primarily by last name, but whenever two users have an identical last name, the results will be sorted by first name as well.
Geo Queries
# Find cafes near a given geographic point
coords = {
lat: 12.56,
lon: 19.443,
dist: '4mi' # Define size of search radius for NEAR query
}
query = "value.location:NEAR:{lat:#{coords.lat} lon:#{coords.lon} dist:#{coords.dist}}"
client.search(:cafes, query) # returns cafes in a 4 mile radius of given latitude, longitude
# Using the previous coords & query,
# sort results by distance
client.search(:cafes, query, {
sort: 'value.location:distance:asc'
})
# Find cafes in a given area using a bounding box
query = "value:IN:{ north:12.5 east:57 south:12 west:56 }"
client.search(:cafes, query)
Aggregate Functions
# Statistical Aggregate
query = "*"
= {
aggregate: "value.price:stats" # get statistics for price across all items in the collection
}
response = client.search(:products, query, )
response.aggregates # return aggregate results
# Range Aggregate
query = "*"
= {
# count items with num_sold below 99, in between 1 & 10, and above 5
aggregate: "value.num_sold:range:*~99:1~10:5~*"
}
response = client.search(:products, query, )
response.aggregates # return aggregate results
# Distance Aggregate
coords = {
lat: 12.56,
lon: 19.443,
dist: '4mi' # Define size of search radius for NEAR query
}
= {
# count cafes near give geographic point within 3 miles, between 3 and 4 miles, and beyond 1 mile
aggregate: "value.location:distance:*~3:3~4:1~*"
}
# Distance Aggregates require a near clause in the search query
query = "value.location:NEAR:{lat:#{coords.lat} lon:#{coords.lon} dist:#{coords.dist}}"
response = client.search(:cafes, query, )
response.aggregates # return aggregate results
# Time-Series Aggregate
# Accepted intervals are: year, quarter, month, week, day, and hour
= {
# get count of comments posted by day
aggregate: "value.posted:time_series:day"
}
query = "*"
response = client.search(:comments, query, )
response.aggregates # return aggregate results
# Time-Series Aggregate with Time Zone
= {
# get count of comments posted by day
aggregate: "value.posted:time_series:day:+1100"
}
query = "*"
response = client.search(:comments, query, )
response.aggregates # return aggregate results
# Multiple Aggregate Functions
= {
# multiple aggregate params are separated by commas
aggregate: "value.price:stats,value.num_sold:stats,value.num_sold:range:*~99:1~10:5~*"
}
query = "*"
response = client.search(:products, query, )
response.aggregates # return aggregate results
Examples and Documentation
There are more examples and documentation in Orchestrate's API Documentation and the rdoc.
Swapping out the HTTP back end
This gem uses Faraday for its HTTP needs -- and Faraday allows you to change the underlying HTTP client used. The Orchestrate client defaults to net-http-persistent for speed on repeat requests without having to resort to a compiled library. You can easily swap in Typhoeus which uses libcurl to enable fast, parallel requests, or EventMachine HTTP to use a non-blocking, callback-based interface. Examples are below.
You may use Faraday's test
adapter to stub out calls to the Orchestrate API in your tests. See tests/test_helper.rb
and the tests in tests/orchestrate/api/*_test.rb
for examples.
Parallel HTTP requests
If you're using a Faraday back end that enables parallelization, such as Typhoeus, EM-HTTP-Request, or EM-Synchrony you can use Orchestrate::Client#in_parallel
to fire off multiple requests at once. If your Faraday back end does not support this, the method will still work as expected, but Faraday will output a warning to STDERR and the requests will be performed in series.
Note that these parallel modes are not thread-safe. If you are using the client in a threaded environment, you should use #dup
on your Orchestrate::Client
or Orchestrate::Application
to create per-thread instances.
method client
client = Orchestrate::Client.new(api_key) {|f| f.adapter :typhoeus }
responses = client.in_parallel do |r|
r[:list] = client.list(:my_collection)
r[:user] = client.get(:users, current_user_id)
r[:user_events] = client.list_events(:users, current_user_id, :notices)
end
# will return when all requests have completed
responses[:user] = #<Orchestrate::API::ItemResponse:0x00...>
object client
app = Orchestrate::Application.new(api_key) {|f| f.adapter :typhoeus }
app.in_parallel do
@items = app[:my_collection].each
@user = app[:users][current_user_id]
end
@items.take(5)
Note that values are not available inside of the in_parallel
block. The r[:list]
or @items
objects are placeholders for their future values and will be available after the in_parallel
block returns. Since take
and other enumerable methods normally attempt to access the value when called, you must convert the app[:my_collection]
to an Enumerator
with #each
and access them outside the parallel block.
You can, inside the parallel block, construct further iteration over your collection with Enumerable#lazy
like so:
app.in_parallel do
@items = app[:my_collection].each.lazy.take(5)
...
end
@items.force
Attempting to access the values inside the parallel block will raise an Orchestrate::ResultsNotReady
exception.
Lazy enumerators are not available by default in Ruby 1.9. Lazy enumerator results are not pre-fetched from orchestrate unless they are taken inside an #in_parallel
block, otherwise results are fetched when needed.
Using with Typhoeus
Typhoeus is backed by libcurl and enables parallelization.
require 'orchestrate'
require 'typhoeus/adapters/faraday'
client = Orchestrate::Client.new(api_key) do |conn|
conn.adapter :typhoeus
end
Using with EM-HTTP-Request
EM-HTTP-Request is an HTTP client for Event Machine. It enables callback support and parallelization.
require 'em-http-request'
client = Orchestrate::Client.new(api_key) do |conn|
conn.adapter :em_http
end
Using with EM-Synchrony
EM-Synchrony is a collection of utility classes for EventMachine to help untangle evented code. It enables parallelization.
require 'em-synchrony'
client = Orchestrate::Client.new(api_key) do |conn|
conn.adapter = f.adapter :em_synchrony
end
Release Notes
April 30, 2015: release 0.11.3
- Implement
Orchestrate::Search::TopValuesBuilder
to construct top values aggregates.
March 27, 2015: release 0.11.2
- Implement
Orchestrate::Search::QueryBuilder#kinds
to search events as well as KV items. - Implement
Orchestrate::Search::QueryBuilder#types
to search specific types of events.
February 17, 2015: release 0.11.1
- Implement
Search::TimeSeriesBuilder#time_zone
to designate time zone when calculating time series bucket boundaries.
January 7, 2015: release 0.11.0
- BACKWARDS-INCOMPATIBLE
Orchestrate::Collection
searches require#find
method at the end of the method call/chain. Example:users.search('foo').find
. - Implement
Orchestrate::Search
module, refactor functionality of priorOrchestrate::Collection::SearchResults
. - Implement results enumeration & request firing functionality in prior
Orchestrate::Collection::SearchResults
toOrchestrate::Search::Results
- Implement
Search::QueryBuilder
to constructCollection
search queries. - Implement
Search::AggregateBuilder
to construct aggregate params onCollection
search queries. - Implement
Search::StatsBuilder
,Search::RangeBuilder
,Search::DistanceBuilder
, &Search::TimeSeriesBuilder
to construct aggregate function clauses for aggregate params. - Implement
Search::AggregateResult
objects to repesent aggregate results returned fromCollection
search.
December 11, 2014: release 0.10.0
- BACKWARDS-INCOMPATIBLE Prior
KeyValue#update
&KeyValue#update!
renamed toKeyValue#set
&KeyValue#set!
.KeyValue#update
now used afterPATCH
operations to fire the request. - Implement
Collection#near
&Collection#in
, allowingCollection
to perform geo queries. - Implement
Client#patch
,Client#patch_merge
, allowingClient
to perform partial updates throughPATCH
requests. - Implement
KeyValue::OperationSet
, allowing a set ofPATCH
operations to be built byKeyValue
throughKeyValue#add
,KeyValue#remove
,KeyValue#replace
,KeyValue#move
,KeyValue#copy
,KeyValue#increment
,KeyValue#decrement
, &KeyValue#test
. TheKeyValue::OperationSet
is fired by ending the chain withKeyValue#update
. - Implement
KeyValue#merge
, allowingKeyValue
to merge partial values into existing keys throughPATCH
requests.
November 19, 2014: release 0.9.2
- Implement
SearchResults#order
, allowingCollection
object results to be sorted. - Implement Data Center choice on
Orchestrate::Client
andOrchestrate::Application
.
October 8, 2014: release 0.9.1
- Improvements to documentation.
September 1, 2014: release 0.9.0
- Implement
KeyValue#events
,EventList
andEvents
to access events associated with a KeyValue. - Removed
KeyValue#loaded
attr reader, it pointed to an instance variable no longer in use. Use#loaded?
instead.
August 6, 2014: release 0.8.1
- Implement
KeyValue#refs
,RefList
andRef
to access a KeyValue's Refs. - Refactor
Client
api accessors on Object client to internal#perform
methods.
July 24, 2014: release 0.8.0
- BACKWARDS-INCOMPATIBLE Fix #69,
Client
will url-escape path segments. If you have keys with slashes or spaces or other characters escaped byURI.escape
the client will now behave as expected, however if you've used these keys with this client before you may not be able to get to those old keys. - Fix #78, KeyValues are given an empty hash value by default, instead of nil.
- Change default value for
KeyValue#ref
to be false. On save, this will send anIf-None-Match
header instead of omitting the condition. - Revisited
#in_parallel
methods, improved documentation, tests for Enumerables on Object client, made sure behavior conforms. - Implement
KeyValue#update
and#update!
to update the value and save in one go. - Implement
Collection#stub
to instantiate a KeyValue without loading it, for access to Relations, Refs, Events, etc. - Implement
Collection#build
to provide a factory for unsaved KV items in a collection. - Implement
KeyValue#relation
for Graph / Relation queries on object client. - Implement
Collection#search
for Lucene queries on Collections via the object client.
July 1, 2014: release 0.7.0
- Fix #66 to make parallel mode work properly
- Switch the default Faraday adapter to the
net-http-persistent
gem, which in casual testing yields much better performance for sustained use. - Introduced the object client,
Orchestrate::Application
,Orchestrate::Collection
&Orchestrate::KeyValue
June 24, 2014: release 0.6.3
- Fix #55 to handle ping responses when unauthorized
June 24, 2014: release 0.6.2
- Fix #48 to remove trailing -gzip from Etag header for ref value.
- Custom
#to_s
and#inspect
methods for Client, Response classes. - Implement
If-Match
header for Client#purge - Implement Client#post for auto-generated keys endpoint
June 17, 2014: release 0.6.1
- Fix #43 for If-None-Match on Client#put
- Fix #46 for Client#ping
- License changed to ASLv2
June 16, 2014: release 0.6.0
- BACKWARDS-INCOMPATIBLE Reworked Client constructor to take API key and optional Faraday configuration block. See 9045ffc for details.
- Migrated documentation to YARD
- Provide basic response wrappers specific to generic request types.
- Raise Exceptions on error response from Orchestrate API.
- Remove custom logger in favor of the option to use Faraday middleware.
- Accept Time/Date objects for Timestamp arguments to Event-related methods.
May 29, 2014: release 0.5.1
- Fix problem with legacy code preventing gem from loading in some environments
May 21, 2014: release 0.5.0
Initial Port from @jimcar
- Uses Faraday HTTP Library as backend, with examples of alternate adapters
- Cleanup client method signatures