Merge remote-tracking branch 'origin/master' into update-changelog-for-0.10.0

This commit is contained in:
Troy McConaghy 2017-04-18 16:15:43 +02:00
commit b691d7da45
69 changed files with 1361 additions and 481 deletions

2
.gitignore vendored
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@ -78,7 +78,7 @@ ntools/one-m/ansible/ansible.cfg
# Just in time documentation
docs/server/source/schema
docs/server/source/drivers-clients/samples
docs/server/source/http-samples
# Terraform state files
# See https://stackoverflow.com/a/41482391

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@ -145,6 +145,13 @@ Once you accept and submit the CLA, we'll email you with further instructions. (
Someone will then merge your branch or suggest changes. If we suggest changes, you won't have to open a new pull request, you can just push new code to the same branch (on `origin`) as you did before creating the pull request.
### Tip: Upgrading All BigchainDB Dependencies
Over time, your versions of the Python packages used by BigchainDB will get out of date. You can upgrade them using:
```text
pip install --upgrade -e .[dev]
```
## Quick Links
* [BigchainDB Community links](https://www.bigchaindb.com/community)

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@ -59,6 +59,10 @@ config = {
'workers': None, # if none, the value will be cpu_count * 2 + 1
'threads': None, # if none, the value will be cpu_count * 2 + 1
},
'wsserver': {
'host': os.environ.get('BIGCHAINDB_WSSERVER_HOST') or 'localhost',
'port': int(os.environ.get('BIGCHAINDB_WSSERVER_PORT', 9985)),
},
'database': _database_map[
os.environ.get('BIGCHAINDB_DATABASE_BACKEND', 'rethinkdb')
],

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@ -96,6 +96,10 @@ def run_configure(args, skip_if_exists=False):
val = conf['server'][key]
conf['server'][key] = input_on_stderr('API Server {}? (default `{}`): '.format(key, val), val)
for key in ('host', 'port'):
val = conf['wsserver'][key]
conf['wsserver'][key] = input_on_stderr('WebSocket Server {}? (default `{}`): '.format(key, val), val)
for key in database_keys:
val = conf['database'][key]
conf['database'][key] = input_on_stderr('Database {}? (default `{}`): '.format(key, val), val)

33
bigchaindb/events.py Normal file
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@ -0,0 +1,33 @@
from enum import Enum
from multiprocessing import Queue
class EventTypes(Enum):
BLOCK_VALID = 1
BLOCK_INVALID = 2
class Event:
def __init__(self, event_type, event_data):
self.type = event_type
self.data = event_data
class EventHandler:
def __init__(self, events_queue):
self.events_queue = events_queue
def put_event(self, event, timeout=None):
# TODO: handle timeouts
self.events_queue.put(event, timeout=None)
def get_event(self, timeout=None):
# TODO: handle timeouts
return self.events_queue.get(timeout=None)
def setup_events_queue():
# TODO: set bounds to the queue
return Queue()

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@ -8,3 +8,7 @@ class CriticalDoubleSpend(BigchainDBError):
class CriticalDoubleInclusion(BigchainDBError):
"""Data integrity error that requires attention"""
class CriticalDuplicateVote(BigchainDBError):
"""Data integrity error that requires attention"""

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@ -41,9 +41,11 @@ SUBSCRIBER_LOGGING_CONFIG = {
'level': logging.INFO,
},
'file': {
'class': 'logging.FileHandler',
'class': 'logging.handlers.RotatingFileHandler',
'filename': join(DEFAULT_LOG_DIR, 'bigchaindb.log'),
'mode': 'w',
'maxBytes': 209715200,
'backupCount': 5,
'formatter': 'file',
'level': logging.INFO,
},

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@ -13,6 +13,7 @@ from bigchaindb import backend
from bigchaindb.backend.changefeed import ChangeFeed
from bigchaindb.models import Block
from bigchaindb import Bigchain
from bigchaindb.events import EventHandler, Event, EventTypes
logger = logging.getLogger(__name__)
@ -22,8 +23,11 @@ logger_results = logging.getLogger('pipeline.election.results')
class Election:
"""Election class."""
def __init__(self):
def __init__(self, events_queue=None):
self.bigchain = Bigchain()
self.event_handler = None
if events_queue:
self.event_handler = EventHandler(events_queue)
def check_for_quorum(self, next_vote):
"""
@ -42,6 +46,7 @@ class Election:
next_block = self.bigchain.get_block(block_id)
result = self.bigchain.block_election(next_block)
self.handle_block_events(result, block_id)
if result['status'] == self.bigchain.BLOCK_INVALID:
return Block.from_dict(next_block)
@ -67,9 +72,21 @@ class Election:
self.bigchain.write_transaction(tx)
return invalid_block
def handle_block_events(self, result, block_id):
if self.event_handler:
if result['status'] == self.bigchain.BLOCK_UNDECIDED:
return
elif result['status'] == self.bigchain.BLOCK_INVALID:
event_type = EventTypes.BLOCK_INVALID
elif result['status'] == self.bigchain.BLOCK_VALID:
event_type = EventTypes.BLOCK_VALID
def create_pipeline():
election = Election()
event = Event(event_type, self.bigchain.get_block(block_id))
self.event_handler.put_event(event)
def create_pipeline(events_queue=None):
election = Election(events_queue=events_queue)
election_pipeline = Pipeline([
Node(election.check_for_quorum),
@ -84,8 +101,8 @@ def get_changefeed():
return backend.get_changefeed(connection, 'votes', ChangeFeed.INSERT)
def start():
pipeline = create_pipeline()
def start(events_queue=None):
pipeline = create_pipeline(events_queue=events_queue)
pipeline.setup(indata=get_changefeed())
pipeline.start()
return pipeline

View File

@ -3,7 +3,8 @@ import multiprocessing as mp
import bigchaindb
from bigchaindb.pipelines import vote, block, election, stale
from bigchaindb.web import server
from bigchaindb.events import setup_events_queue
from bigchaindb.web import server, websocket_server
logger = logging.getLogger(__name__)
@ -25,6 +26,13 @@ BANNER = """
def start():
logger.info('Initializing BigchainDB...')
# Create the events queue
# The events queue needs to be initialized once and shared between
# processes. This seems the best way to do it
# At this point only the election processs and the event consumer require
# this queue.
events_queue = setup_events_queue()
# start the processes
logger.info('Starting block')
block.start()
@ -36,12 +44,18 @@ def start():
stale.start()
logger.info('Starting election')
election.start()
election.start(events_queue=events_queue)
# start the web api
app_server = server.create_server(bigchaindb.config['server'])
p_webapi = mp.Process(name='webapi', target=app_server.run)
p_webapi.start()
logger.info('WebSocket server started')
p_websocket_server = mp.Process(name='ws',
target=websocket_server.start,
args=(events_queue,))
p_websocket_server.start()
# start message
logger.info(BANNER.format(bigchaindb.config['server']['bind']))

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@ -1,6 +1,7 @@
import collections
from bigchaindb.common.schema import SchemaValidationError, validate_vote_schema
from bigchaindb.exceptions import CriticalDuplicateVote
from bigchaindb.common.utils import serialize
from bigchaindb.common.crypto import PublicKey
@ -33,7 +34,8 @@ class Voting:
n_voters = len(eligible_voters)
eligible_votes, ineligible_votes = \
cls.partition_eligible_votes(votes, eligible_voters)
results = cls.count_votes(eligible_votes)
by_voter = cls.dedupe_by_voter(eligible_votes)
results = cls.count_votes(by_voter)
results['block_id'] = block['id']
results['status'] = cls.decide_votes(n_voters, **results['counts'])
results['ineligible'] = ineligible_votes
@ -60,38 +62,29 @@ class Voting:
return eligible, ineligible
@classmethod
def count_votes(cls, eligible_votes):
def dedupe_by_voter(cls, eligible_votes):
"""
Throw a critical error if there is a duplicate vote
"""
by_voter = {}
for vote in eligible_votes:
pubkey = vote['node_pubkey']
if pubkey in by_voter:
raise CriticalDuplicateVote(pubkey)
by_voter[pubkey] = vote
return by_voter
@classmethod
def count_votes(cls, by_voter):
"""
Given a list of eligible votes, (votes from known nodes that are listed
as voters), produce the number that say valid and the number that say
invalid.
* Detect if there are multiple votes from a single node and return them
in a separate "cheat" dictionary.
* Votes must agree on previous block, otherwise they become invalid.
note:
The sum of votes returned by this function does not necessarily
equal the length of the list of votes fed in. It may differ for
example if there are found to be multiple votes submitted by a
single voter.
invalid. Votes must agree on previous block, otherwise they become invalid.
"""
prev_blocks = collections.Counter()
cheat = []
malformed = []
# Group by pubkey to detect duplicate voting
by_voter = collections.defaultdict(list)
for vote in eligible_votes:
by_voter[vote['node_pubkey']].append(vote)
for pubkey, votes in by_voter.items():
if len(votes) > 1:
cheat.append(votes)
continue
vote = votes[0]
for vote in by_voter.values():
if not cls.verify_vote_schema(vote):
malformed.append(vote)
continue
@ -111,7 +104,6 @@ class Voting:
'n_valid': n_valid,
'n_invalid': len(by_voter) - n_valid,
},
'cheat': cheat,
'malformed': malformed,
'previous_block': prev_block,
'other_previous_block': dict(prev_blocks),

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@ -5,6 +5,9 @@ import logging
from flask import jsonify, request
from bigchaindb import config
logger = logging.getLogger(__name__)
@ -21,3 +24,8 @@ def make_error(status_code, message=None):
def base_url():
return '%s://%s/' % (request.environ['wsgi.url_scheme'],
request.environ['HTTP_HOST'])
def base_ws_uri():
"""Base websocket uri."""
return 'ws://{host}:{port}'.format(**config['wsserver'])

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@ -1,8 +1,6 @@
"""This module provides the blueprint for the blocks API endpoints.
For more information please refer to the documentation on ReadTheDocs:
- https://docs.bigchaindb.com/projects/server/en/latest/drivers-clients/
http-client-server-api.html
For more information please refer to the documentation: http://bigchaindb.com/http-api
"""
from flask import current_app
from flask_restful import Resource, reqparse

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@ -4,8 +4,9 @@ import flask
from flask_restful import Resource
import bigchaindb
from bigchaindb.web.views.base import base_url
from bigchaindb.web.views.base import base_url, base_ws_uri
from bigchaindb import version
from bigchaindb.web.websocket_server import EVENTS_ENDPOINT
class RootIndex(Resource):
@ -30,16 +31,18 @@ class RootIndex(Resource):
class ApiV1Index(Resource):
def get(self):
api_root = base_url() + 'api/v1/'
websocket_root = base_ws_uri() + EVENTS_ENDPOINT
docs_url = [
'https://docs.bigchaindb.com/projects/server/en/v',
version.__version__,
'/drivers-clients/http-client-server-api.html',
'/http-client-server-api.html',
]
return {
return flask.jsonify({
'_links': {
'docs': ''.join(docs_url),
'self': api_root,
'statuses': api_root + 'statuses/',
'transactions': api_root + 'transactions/',
'streams_v1': websocket_root,
},
}
})

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@ -1,8 +1,6 @@
"""This module provides the blueprint for the statuses API endpoints.
For more information please refer to the documentation on ReadTheDocs:
- https://docs.bigchaindb.com/projects/server/en/latest/drivers-clients/
http-client-server-api.html
For more information please refer to the documentation: http://bigchaindb.com/http-api
"""
from flask import current_app
from flask_restful import Resource, reqparse

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@ -1,8 +1,6 @@
"""This module provides the blueprint for some basic API endpoints.
For more information please refer to the documentation on ReadTheDocs:
- https://docs.bigchaindb.com/projects/server/en/latest/drivers-clients/
http-client-server-api.html
For more information please refer to the documentation: http://bigchaindb.com/http-api
"""
import logging

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@ -1,8 +1,6 @@
"""This module provides the blueprint for the votes API endpoints.
For more information please refer to the documentation on ReadTheDocs:
- https://docs.bigchaindb.com/projects/server/en/latest/drivers-clients/
http-client-server-api.html
For more information please refer to the documentation: http://bigchaindb.com/http-api
"""
from flask import current_app
from flask_restful import Resource, reqparse

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@ -0,0 +1,174 @@
"""WebSocket server for the BigchainDB Event Stream API."""
# NOTE
#
# This module contains some functions and utilities that might belong to other
# modules. For now, I prefer to keep everything in this module. Why? Because
# those functions are needed only here.
#
# When we will extend this part of the project and we find that we need those
# functionalities elsewhere, we can start creating new modules and organizing
# things in a better way.
import json
import asyncio
import logging
import threading
from uuid import uuid4
import aiohttp
from aiohttp import web
from bigchaindb import config
from bigchaindb.events import EventTypes
logger = logging.getLogger(__name__)
POISON_PILL = 'POISON_PILL'
EVENTS_ENDPOINT = '/api/v1/streams/valid_tx'
def _put_into_capped_queue(queue, value):
"""Put a new item in a capped queue.
If the queue reached its limit, get the first element
ready and put the new one. Note that the first element
will be lost (that's the purpose of a capped queue).
Args:
queue: a queue
value: the value to put
"""
while True:
try:
queue.put_nowait(value)
except asyncio.QueueFull:
queue.get_nowait()
else:
return
def _multiprocessing_to_asyncio(in_queue, out_queue, loop):
"""Bridge between a synchronous multiprocessing queue
and an asynchronous asyncio queue.
Args:
in_queue (multiprocessing.Queue): input queue
out_queue (asyncio.Queue): output queue
"""
while True:
value = in_queue.get()
loop.call_soon_threadsafe(_put_into_capped_queue, out_queue, value)
class Dispatcher:
"""Dispatch events to websockets.
This class implements a simple publish/subscribe pattern.
"""
def __init__(self, event_source):
"""Create a new instance.
Args:
event_source: a source of events. Elements in the queue
should be strings.
"""
self.event_source = event_source
self.subscribers = {}
def subscribe(self, uuid, websocket):
"""Add a websocket to the list of subscribers.
Args:
uuid (str): a unique identifier for the websocket.
websocket: the websocket to publish information.
"""
self.subscribers[uuid] = websocket
@asyncio.coroutine
def publish(self):
"""Publish new events to the subscribers."""
while True:
event = yield from self.event_source.get()
str_buffer = []
if event == POISON_PILL:
return
if isinstance(event, str):
str_buffer.append(event)
elif event.type == EventTypes.BLOCK_VALID:
block = event.data
for tx in block['block']['transactions']:
asset_id = tx['id'] if tx['operation'] == 'CREATE' else tx['asset']['id']
data = {'block_id': block['id'],
'asset_id': asset_id,
'tx_id': tx['id']}
str_buffer.append(json.dumps(data))
for _, websocket in self.subscribers.items():
for str_item in str_buffer:
websocket.send_str(str_item)
@asyncio.coroutine
def websocket_handler(request):
"""Handle a new socket connection."""
logger.debug('New websocket connection.')
websocket = web.WebSocketResponse()
yield from websocket.prepare(request)
uuid = uuid4()
request.app['dispatcher'].subscribe(uuid, websocket)
while True:
# Consume input buffer
msg = yield from websocket.receive()
if msg.type == aiohttp.WSMsgType.ERROR:
logger.debug('Websocket exception: %s', websocket.exception())
return
def init_app(event_source, *, loop=None):
"""Init the application server.
Return:
An aiohttp application.
"""
dispatcher = Dispatcher(event_source)
# Schedule the dispatcher
loop.create_task(dispatcher.publish())
app = web.Application(loop=loop)
app['dispatcher'] = dispatcher
app.router.add_get(EVENTS_ENDPOINT, websocket_handler)
return app
def start(sync_event_source, loop=None):
"""Create and start the WebSocket server."""
if not loop:
loop = asyncio.get_event_loop()
event_source = asyncio.Queue(maxsize=1024, loop=loop)
bridge = threading.Thread(target=_multiprocessing_to_asyncio,
args=(sync_event_source, event_source, loop),
daemon=True)
bridge.start()
app = init_app(event_source, loop=loop)
aiohttp.web.run_app(app,
host=config['wsserver']['host'],
port=config['wsserver']['port'])

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@ -2,7 +2,7 @@ version: '2'
services:
mdb:
image: mongo:3.4.1
image: mongo:3.4.3
ports:
- "27017"
command: mongod --replSet=bigchain-rs
@ -28,7 +28,7 @@ services:
- /data
command: "true"
bdb:
bdb-rdb:
build:
context: .
dockerfile: Dockerfile-dev
@ -50,7 +50,7 @@ services:
- "9984"
command: bigchaindb start
bdb-mdb:
bdb:
build:
context: .
dockerfile: Dockerfile-dev

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@ -53,7 +53,7 @@ At a high level, one can communicate with a BigchainDB cluster (set of nodes) us
</style>
<div class="buttondiv">
<a class="button" href="http://docs.bigchaindb.com/projects/server/en/latest/drivers-clients/http-client-server-api.html">HTTP API Docs</a>
<a class="button" href="http://bigchaindb.com/http-api">HTTP API Docs</a>
</div>
<div class="buttondiv">
<a class="button" href="http://docs.bigchaindb.com/projects/py-driver/en/latest/index.html">Python Driver Docs</a>

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@ -1,21 +1,21 @@
# Terminology
There is some specialized terminology associated with BigchainDB. To get started, you should at least know what what we mean by a BigchainDB *node*, *cluster* and *consortium*.
There is some specialized terminology associated with BigchainDB. To get started, you should at least know the following:
## Node
## BigchainDB Node
A **BigchainDB node** is a machine or set of closely-linked machines running RethinkDB/MongoDB Server, BigchainDB Server, and related software. (A "machine" might be a bare-metal server, a virtual machine or a container.) Each node is controlled by one person or organization.
A **BigchainDB node** is a machine or set of closely-linked machines running RethinkDB/MongoDB Server, BigchainDB Server, and related software. Each node is controlled by one person or organization.
## Cluster
## BigchainDB Cluster
A set of BigchainDB nodes can connect to each other to form a **cluster**. Each node in the cluster runs the same software. A cluster contains one logical RethinkDB datastore. A cluster may have additional machines to do things such as cluster monitoring.
A set of BigchainDB nodes can connect to each other to form a **BigchainDB cluster**. Each node in the cluster runs the same software. A cluster contains one logical RethinkDB/MongoDB datastore. A cluster may have additional machines to do things such as cluster monitoring.
## Consortium
## BigchainDB Consortium
The people and organizations that run the nodes in a cluster belong to a **consortium** (i.e. another organization). A consortium must have some sort of governance structure to make decisions. If a cluster is run by a single company, then the "consortium" is just that company.
The people and organizations that run the nodes in a cluster belong to a **BigchainDB consortium** (i.e. another organization). A consortium must have some sort of governance structure to make decisions. If a cluster is run by a single company, then the "consortium" is just that company.
**What's the Difference Between a Cluster and a Consortium?**

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@ -269,7 +269,7 @@ def main():
ctx['block_list'] = pretty_json(block_list)
base_path = os.path.join(os.path.dirname(__file__),
'source/drivers-clients/samples')
'source/http-samples')
if not os.path.exists(base_path):
os.makedirs(base_path)

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@ -18,7 +18,7 @@ pip install awscli
## Create an AWS Access Key
The next thing you'll need is an AWS access key. If you don't have one, you can create one using the [instructions in the AWS documentation](http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSGettingStartedGuide/AWSCredentials.html). You should get an access key ID (e.g. AKIAIOSFODNN7EXAMPLE) and a secret access key (e.g. wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY).
The next thing you'll need is AWS access keys (access key ID and secret access key). If you don't have those, see [the AWS documentation about access keys](https://docs.aws.amazon.com/general/latest/gr/aws-sec-cred-types.html#access-keys-and-secret-access-keys).
You should also pick a default AWS region name (e.g. `eu-central-1`). That's where your cluster will run. The AWS documentation has [a list of them](http://docs.aws.amazon.com/general/latest/gr/rande.html#ec2_region).

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@ -1,5 +0,0 @@
#########
Consensus
#########
.. automodule:: bigchaindb.consensus

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@ -0,0 +1,101 @@
# Run BigchainDB with Docker On Mac
**NOT for Production Use**
Those developing on Mac can follow this document to run BigchainDB in docker
containers for a quick dev setup.
Running BigchainDB on Mac (Docker or otherwise) is not officially supported.
Support is very much limited as there are certain things that work differently
in Docker for Mac than Docker for other platforms.
Also, we do not use mac for our development and testing. :)
This page may not be up to date with various settings and docker updates at
all the times.
These steps work as of this writing (2017.Mar.09) and might break in the
future with updates to Docker for mac.
Community contribution to make BigchainDB run on Docker for Mac will always be
welcome.
## Prerequisite
Install Docker for Mac.
## (Optional) For a clean start
1. Stop all BigchainDB and RethinkDB/MongoDB containers.
2. Delete all BigchainDB docker images.
3. Delete the ~/bigchaindb_docker folder.
## Pull the images
Pull the bigchaindb and other required docker images from docker hub.
```text
docker pull bigchaindb/bigchaindb:master
docker pull [rethinkdb:2.3|mongo:3.4.1]
```
## Create the BigchainDB configuration file on Mac
```text
docker run \
--rm \
--volume $HOME/bigchaindb_docker:/data \
bigchaindb/bigchaindb:master \
-y configure \
[mongodb|rethinkdb]
```
To ensure that BigchainDB connects to the backend database bound to the virtual
interface `172.17.0.1`, you must edit the BigchainDB configuration file
(`~/bigchaindb_docker/.bigchaindb`) and change database.host from `localhost`
to `172.17.0.1`.
## Run the backend database on Mac
From v0.9 onwards, you can run RethinkDB or MongoDB.
We use the virtual interface created by the Docker daemon to allow
communication between the BigchainDB and database containers.
It has an IP address of 172.17.0.1 by default.
You can also use docker host networking or bind to your primary (eth)
interface, if needed.
### For RethinkDB backend
```text
docker run \
--name=rethinkdb \
--publish=28015:28015 \
--publish=8080:8080 \
--restart=always \
--volume $HOME/bigchaindb_docker:/data \
rethinkdb:2.3
```
### For MongoDB backend
```text
docker run \
--name=mongodb \
--publish=27017:27017 \
--restart=always \
--volume=$HOME/bigchaindb_docker/db:/data/db \
--volume=$HOME/bigchaindb_docker/configdb:/data/configdb \
mongo:3.4.1 --replSet=bigchain-rs
```
### Run BigchainDB on Mac
```text
docker run \
--name=bigchaindb \
--publish=9984:9984 \
--restart=always \
--volume=$HOME/bigchaindb_docker:/data \
bigchaindb/bigchaindb \
start
```

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@ -1,25 +0,0 @@
# Example RethinkDB Storage Setups
## Example Amazon EC2 Setups
We have some scripts for [deploying a _test_ BigchainDB cluster on AWS](../clusters-feds/aws-testing-cluster.html). Those scripts include command sequences to set up storage for RethinkDB.
In particular, look in the file [/deploy-cluster-aws/fabfile.py](https://github.com/bigchaindb/bigchaindb/blob/master/deploy-cluster-aws/fabfile.py), under `def prep_rethinkdb_storage(USING_EBS)`. Note that there are two cases:
1. **Using EBS ([Amazon Elastic Block Store](https://aws.amazon.com/ebs/)).** This is always an option, and for some instance types ("EBS-only"), it's the only option.
2. **Using an "instance store" volume provided with an Amazon EC2 instance.** Note that our scripts only use one of the (possibly many) volumes in the instance store.
There's some explanation of the steps in the [Amazon EC2 documentation about making an Amazon EBS volume available for use](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-using-volumes.html).
You shouldn't use an EC2 "instance store" to store RethinkDB data for a production node, because it's not replicated and it's only intended for temporary, ephemeral data. If the associated instance crashes, is stopped, or is terminated, the data in the instance store is lost forever. Amazon EBS storage is replicated, has incremental snapshots, and is low-latency.
## Example Using Amazon EFS
TODO
## Other Examples?
TODO
Maybe RAID, ZFS, ... (over EBS volumes, i.e. a DIY Amazon EFS)

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@ -8,9 +8,10 @@ This is a page of notes on the ports potentially used by BigchainDB nodes and th
Assuming you aren't exposing the RethinkDB web interface on port 8080 (or any other port, because [there are more secure ways to access it](https://www.rethinkdb.com/docs/security/#binding-the-web-interface-port)), there are only three ports that should expect unsolicited inbound traffic:
1. **Port 22** can expect inbound SSH (TCP) traffic from the node administrator (i.e. a small set of IP addresses).
2. **Port 9984** can expect inbound HTTP (TCP) traffic from BigchainDB clients sending transactions to the BigchainDB HTTP API.
3. If you're using RethinkDB, **Port 29015** can expect inbound TCP traffic from other RethinkDB nodes in the RethinkDB cluster (for RethinkDB intracluster communications).
4. If you're using MongoDB, **Port 27017** can expect inbound TCP traffic from other nodes.
1. **Port 9984** can expect inbound HTTP (TCP) traffic from BigchainDB clients sending transactions to the BigchainDB HTTP API.
1. **Port 9985** can expect inbount WebSocket traffic from BigchainDB clients.
1. If you're using RethinkDB, **Port 29015** can expect inbound TCP traffic from other RethinkDB nodes in the RethinkDB cluster (for RethinkDB intracluster communications).
1. If you're using MongoDB, **Port 27017** can expect inbound TCP traffic from other nodes.
All other ports should only get inbound traffic in response to specific requests from inside the node.
@ -59,6 +60,11 @@ If Gunicorn and the reverse proxy are running on the same server, then you'll ha
You may want to have Gunicorn and the reverse proxy running on different servers, so that both can listen on port 9984. That would also help isolate the effects of a denial-of-service attack.
## Port 9985
Port 9985 is the default port for the [BigchainDB WebSocket Event Stream API](../websocket-event-stream-api.html).
## Port 28015
Port 28015 is the default port used by RethinkDB client driver connections (TCP). If your BigchainDB node is just one server, then Port 28015 only needs to listen on localhost, because all the client drivers will be running on localhost. Port 28015 doesn't need to accept inbound traffic from the outside world.

View File

@ -10,10 +10,10 @@ Appendices
install-os-level-deps
install-latest-pip
run-with-docker
docker-on-mac
json-serialization
cryptography
the-Bigchain-class
consensus
pipelines
backend
commands
@ -21,6 +21,7 @@ Appendices
generate-key-pair-for-ssh
firewall-notes
ntp-notes
example-rethinkdb-storage-setups
rethinkdb-reqs
rethinkdb-backup
licenses
install-with-lxd

View File

@ -24,7 +24,7 @@ deserialize(serialize(data)) == data
True
```
Since BigchainDB performs a lot of serialization we decided to use [python-rapidjson](https://github.com/kenrobbins/python-rapidjson)
Since BigchainDB performs a lot of serialization we decided to use [python-rapidjson](https://github.com/python-rapidjson/python-rapidjson)
which is a python wrapper for [rapidjson](https://github.com/miloyip/rapidjson) a fast and fully RFC complient JSON parser.
```python

View File

@ -1,6 +1,6 @@
# Backing Up & Restoring Data
# Backing Up and Restoring Data
There are several ways to backup and restore the data in a BigchainDB cluster.
This page was written when BigchainDB only worked with RethinkDB, so its focus is on RethinkDB-based backup. BigchainDB now supports MongoDB as a backend database and we recommend that you use MongoDB in production. Nevertheless, some of the following backup ideas are still relevant regardless of the backend database being used, so we moved this page to the Appendices.
## RethinkDB's Replication as a form of Backup

View File

@ -1,20 +1,8 @@
# Production Node Requirements
# RethinkDB Requirements
Note: This section will be broken apart into several pages, e.g. NTP requirements, RethinkDB requirements, BigchainDB requirements, etc. and those pages will add more details.
[The RethinkDB documentation](https://rethinkdb.com/docs/) should be your first source of information about its requirements. This page serves mostly to document some of its more obscure requirements.
## OS Requirements
* RethinkDB Server [will run on any modern OS](https://www.rethinkdb.com/docs/install/). Note that the Fedora package isn't officially supported. Also, official support for Windows is fairly recent ([April 2016](https://rethinkdb.com/blog/2.3-release/)).
* BigchainDB Server requires Python 3.4+ and Python 3.4+ [will run on any modern OS](https://docs.python.org/3.4/using/index.html).
* BigchaindB Server uses the Python `multiprocessing` package and [some functionality in the `multiprocessing` package doesn't work on OS X](https://docs.python.org/3.4/library/multiprocessing.html#multiprocessing.Queue.qsize). You can still use Mac OS X if you use Docker or a virtual machine.
The BigchainDB core dev team uses recent LTS versions of Ubuntu and recent versions of Fedora.
We don't test BigchainDB on Windows or Mac OS X, but you can try.
* If you run into problems on Windows, then you may want to try using Vagrant. One of our community members ([@Mec-Is](https://github.com/Mec-iS)) wrote [a page about how to install BigchainDB on a VM with Vagrant](https://gist.github.com/Mec-iS/b84758397f1b21f21700).
* If you have Mac OS X and want to experiment with BigchainDB, then you could do that [using Docker](../appendices/run-with-docker.html).
RethinkDB Server [will run on any modern OS](https://www.rethinkdb.com/docs/install/). Note that the Fedora package isn't officially supported. Also, official support for Windows is fairly recent ([April 2016](https://rethinkdb.com/blog/2.3-release/)).
## Storage Requirements
@ -28,6 +16,20 @@ For RethinkDB's failover mechanisms to work, [every RethinkDB table must have at
As for the read & write rates, what do you expect those to be for your situation? It's not enough for the storage system alone to handle those rates: the interconnects between the nodes must also be able to handle them.
**Storage Notes Specific to RethinkDB**
* The RethinkDB storage engine has a number of SSD optimizations, so you _can_ benefit from using SSDs. ([source](https://www.rethinkdb.com/docs/architecture/))
* If you have an N-node RethinkDB cluster and 1) you want to use it to store an amount of data D (unique records, before replication), 2) you want the replication factor to be R (all tables), and 3) you want N shards (all tables), then each BigchainDB node must have storage space of at least R×D/N.
* RethinkDB tables can have [at most 64 shards](https://rethinkdb.com/limitations/). What does that imply? Suppose you only have one table, with 64 shards. How big could that table be? It depends on how much data can be stored in each node. If the maximum amount of data that a node can store is d, then the biggest-possible shard is d, and the biggest-possible table size is 64 times that. (All shard replicas would have to be stored on other nodes beyond the initial 64.) If there are two tables, the second table could also have 64 shards, stored on 64 other maxed-out nodes, so the total amount of unique data in the database would be (64 shards/table)×(2 tables)×d. In general, if you have T tables, the maximum amount of unique data that can be stored in the database (i.e. the amount of data before replication) is 64×T×d.
* When you set up storage for your RethinkDB data, you may have to select a filesystem. (Sometimes, the filesystem is already decided by the choice of storage.) We recommend using a filesystem that supports direct I/O (Input/Output). Many compressed or encrypted file systems don't support direct I/O. The ext4 filesystem supports direct I/O (but be careful: if you enable the data=journal mode, then direct I/O support will be disabled; the default is data=ordered). If your chosen filesystem supports direct I/O and you're using Linux, then you don't need to do anything to request or enable direct I/O. RethinkDB does that.
<p style="background-color: lightgrey;">What is direct I/O? It allows RethinkDB to write directly to the storage device (or use its own in-memory caching mechanisms), rather than relying on the operating system's file read and write caching mechanisms. (If you're using Linux, a write-to-file normally writes to the in-memory Page Cache first; only later does that Page Cache get flushed to disk. The Page Cache is also used when reading files.)</p>
* RethinkDB stores its data in a specific directory. You can tell RethinkDB _which_ directory using the RethinkDB config file, as explained below. In this documentation, we assume the directory is `/data`. If you set up a separate device (partition, RAID array, or logical volume) to store the RethinkDB data, then mount that device on `/data`.
## Memory (RAM) Requirements

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@ -25,7 +25,7 @@ docker run \
--interactive \
--rm \
--tty \
--volume "$HOME/bigchaindb_docker:/data" \
--volume $HOME/bigchaindb_docker:/data \
bigchaindb/bigchaindb \
-y configure \
[mongodb|rethinkdb]
@ -45,7 +45,7 @@ Let's analyze that command:
`$HOME/bigchaindb_docker` to the container directory `/data`;
this allows us to have the data persisted on the host machine,
you can read more in the [official Docker
documentation](https://docs.docker.com/engine/tutorials/dockervolumes/#/mount-a-host-directory-as-a-data-volume)
documentation](https://docs.docker.com/engine/tutorials/dockervolumes)
* `bigchaindb/bigchaindb` the image to use. All the options after the container name are passed on to the entrypoint inside the container.
* `-y configure` execute the `configure` sub-command (of the `bigchaindb`
command) inside the container, with the `-y` option to automatically use all the default config values
@ -76,13 +76,13 @@ docker run \
--publish=172.17.0.1:28015:28015 \
--publish=172.17.0.1:58080:8080 \
--restart=always \
--volume "$HOME/bigchaindb_docker:/data" \
--volume $HOME/bigchaindb_docker:/data \
rethinkdb:2.3
```
<!-- Don't hyperlink http://172.17.0.1:58080/ because Sphinx will fail when you do "make linkcheck" -->
You can also access the RethinkDB dashboard at
[http://172.17.0.1:58080/](http://172.17.0.1:58080/)
You can also access the RethinkDB dashboard at http://172.17.0.1:58080/
#### For MongoDB
@ -95,7 +95,7 @@ be owned by this user in the host.
If there is no owner with UID 999, you can create the corresponding user and
group.
`groupadd -r --gid 999 mongodb && useradd -r --uid 999 -g mongodb mongodb`
`useradd -r --uid 999 mongodb` OR `groupadd -r --gid 999 mongodb && useradd -r --uid 999 -g mongodb mongodb` should work.
```text
@ -156,3 +156,4 @@ docker build --tag local-bigchaindb .
```
Now you can use your own image to run BigchainDB containers.

View File

@ -157,7 +157,7 @@ Step 5: Create the Config Map - Optional
This step is required only if you are planning to set up multiple
`BigchainDB nodes
<https://docs.bigchaindb.com/en/latest/terminology.html#node>`_.
<https://docs.bigchaindb.com/en/latest/terminology.html>`_.
MongoDB reads the local ``/etc/hosts`` file while bootstrapping a replica set
to resolve the hostname provided to the ``rs.initiate()`` command. It needs to
@ -268,7 +268,7 @@ Step 7: Initialize a MongoDB Replica Set - Optional
This step is required only if you are planning to set up multiple
`BigchainDB nodes
<https://docs.bigchaindb.com/en/latest/terminology.html#node>`_.
<https://docs.bigchaindb.com/en/latest/terminology.html>`_.
Login to the running MongoDB instance and access the mongo shell using:
@ -315,7 +315,7 @@ Step 8: Create a DNS record - Optional
This step is required only if you are planning to set up multiple
`BigchainDB nodes
<https://docs.bigchaindb.com/en/latest/terminology.html#node>`_.
<https://docs.bigchaindb.com/en/latest/terminology.html>`_.
**Azure.** Select the current Azure resource group and look for the ``Public IP``
resource. You should see at least 2 entries there - one for the Kubernetes
@ -426,9 +426,8 @@ on the cluster and query the internal DNS and IP endpoints.
$ kubectl run -it toolbox -- image <docker image to run> --restart=Never --rm
There is a generic image based on alpine:3.5 with the required utilities
hosted at Docker Hub under ``bigchaindb/toolbox``.
The corresponding Dockerfile is `here
<https://github.com/bigchaindb/bigchaindb/k8s/toolbox/Dockerfile>`_.
hosted at Docker Hub under `bigchaindb/toolbox <https://hub.docker.com/r/bigchaindb/toolbox/>`_.
The corresponding Dockerfile is in the bigchaindb/bigchaindb repository on GitHub, at `https://github.com/bigchaindb/bigchaindb/blob/master/k8s/toolbox/Dockerfile <https://github.com/bigchaindb/bigchaindb/blob/master/k8s/toolbox/Dockerfile>`_.
You can use it as below to get started immediately:

View File

@ -81,4 +81,4 @@ where, as before, `<key-name>` must be replaced.
## Next Steps
You could make changes to the Ansible playbook (and the resources it uses) to make the node more production-worthy. See [the section on production node assumptions, components and requirements](../nodes/index.html).
You could make changes to the Ansible playbook (and the resources it uses) to make the node more production-worthy. See [the section on production node assumptions, components and requirements](../production-nodes/index.html).

View File

@ -53,7 +53,7 @@ on the node and mark it as unscheduleable
kubectl drain $NODENAME
There are `more details in the Kubernetes docs <https://kubernetes.io/docs/admin/cluster-management/#maintenance-on-a-node>`_,
There are `more details in the Kubernetes docs <https://kubernetes.io/docs/concepts/cluster-administration/cluster-management/#maintenance-on-a-node>`_,
including instructions to make the node scheduleable again.
To manually upgrade the host OS,
@ -82,13 +82,13 @@ A typical upgrade workflow for a single Deployment would be:
$ KUBE_EDITOR=nano kubectl edit deployment/<name of Deployment>
The `kubectl edit <https://kubernetes.io/docs/user-guide/kubectl/kubectl_edit/>`_
command opens the specified editor (nano in the above example),
The ``kubectl edit`` command
opens the specified editor (nano in the above example),
allowing you to edit the specified Deployment *in the Kubernetes cluster*.
You can change the version tag on the Docker image, for example.
Don't forget to save your edits before exiting the editor.
The Kubernetes docs have more information about
`updating a Deployment <https://kubernetes.io/docs/user-guide/deployments/#updating-a-deployment>`_.
`Deployments <https://kubernetes.io/docs/concepts/workloads/controllers/deployment/>`_ (including updating them).
The upgrade story for the MongoDB StatefulSet is *different*.

View File

@ -1,6 +1,6 @@
# Deploy a Testing Cluster on AWS
# Deploy a RethinkDB-Based Testing Cluster on AWS
This section explains a way to deploy a cluster of BigchainDB nodes on Amazon Web Services (AWS) for testing purposes.
This section explains a way to deploy a _RethinkDB-based_ cluster of BigchainDB nodes on Amazon Web Services (AWS) for testing purposes.
## Why?

View File

@ -5,6 +5,5 @@ Clusters
:maxdepth: 1
set-up-a-cluster
backup
aws-testing-cluster

View File

@ -3,7 +3,9 @@
This section is about how to set up a BigchainDB cluster where each node is operated by a different operator. If you want to set up and run a testing cluster on AWS (where all nodes are operated by you), then see [the section about that](aws-testing-cluster.html).
## Initial Checklist
## Initial Questions
There are many questions that must be answered before setting up a BigchainDB cluster. For example:
* Do you have a governance process for making consortium-level decisions, such as how to admit new members?
* What will you store in creation transactions (data payload)? Is there a data schema?
@ -15,14 +17,12 @@ This section is about how to set up a BigchainDB cluster where each node is oper
The consortium must decide some things before setting up the initial cluster (initial set of BigchainDB nodes):
1. Who will operate a node in the initial cluster?
2. What will the replication factor be? (It must be 3 or more for [RethinkDB failover](https://rethinkdb.com/docs/failover/) to work.)
3. Which node will be responsible for sending the commands to configure the RethinkDB database?
1. Who will operate each node in the initial cluster?
2. What will the replication factor be? (It should be 3 or more.)
3. Who will deploy the first node, second node, etc.?
Once those things have been decided, each node operator can begin setting up their BigchainDB (production) node.
Once those things have been decided, the cluster deployment process can begin. The process for deploying a production node is outlined in [the section on production nodes](../production-nodes/index.html).
Each node operator will eventually need two pieces of information from all other nodes:
1. Their RethinkDB hostname, e.g. `rdb.farm2.organization.org`
2. Their BigchainDB public key, e.g. `Eky3nkbxDTMgkmiJC8i5hKyVFiAQNmPP4a2G4JdDxJCK`
Every time a new BigchainDB node is added, every other node must update their [BigchainDB keyring](../server-reference/configuration.html#keyring) (one of the BigchainDB configuration settings): they must add the public key of the new node.
To secure communications between BigchainDB nodes, each BigchainDB node can use a firewall or similar, and doing that will require additional coordination.

View File

@ -25,9 +25,16 @@ The (single) output of a threshold condition can be used as one of the inputs of
When one creates a condition, one can calculate its fulfillment length (e.g.
96). The more complex the condition, the larger its fulfillment length will be.
A BigchainDB federation can put an upper limit on the complexity of the
conditions, either directly by setting an allowed maximum fulfillment length,
or indirectly by setting a maximum allowed transaction size which would limit
conditions, either directly by setting a maximum allowed fulfillment length,
or
`indirectly <https://github.com/bigchaindb/bigchaindb/issues/356#issuecomment-288085251>`_
by :ref:`setting a maximum allowed transaction size <Enforcing a Max Transaction Size>`
which would limit
the overall complexity accross all inputs and outputs of a transaction.
Note: At the time of writing, there was no configuration setting
to set a maximum allowed fulfillment length,
so the only real option was to
:ref:`set a maximum allowed transaction size <Enforcing a Max Transaction Size>`.
If someone tries to make a condition where the output of a threshold condition feeds into the input of another “earlier” threshold condition (i.e. in a closed logical circuit), then their computer will take forever to calculate the (infinite) “condition URI”, at least in theory. In practice, their computer will run out of memory or their client software will timeout after a while.

View File

@ -23,7 +23,9 @@ Start RethinkDB using:
$ rethinkdb
```
You can verify that RethinkDB is running by opening the RethinkDB web interface in your web browser. It should be at [http://localhost:8080/](http://localhost:8080/).
You can verify that RethinkDB is running by opening the RethinkDB web interface in your web browser. It should be at http://localhost:8080/
<!-- Don't hyperlink http://localhost:8080/ because Sphinx will fail when you do "make linkcheck" -->
To run BigchainDB Server, do:
```text
@ -87,28 +89,28 @@ Start RethinkDB:
docker-compose up -d rdb
```
The RethinkDB web interface should be accessible at <http://localhost:58080/>.
The RethinkDB web interface should be accessible at http://localhost:58080/.
Depending on which platform, and/or how you are running docker, you may need
to change `localhost` for the `ip` of the machine that is running docker. As a
dummy example, if the `ip` of that machine was `0.0.0.0`, you would access the
web interface at: <http://0.0.0.0:58080/>.
web interface at: http://0.0.0.0:58080/.
Start a BigchainDB node:
```bash
docker-compose up -d bdb
docker-compose up -d bdb-rdb
```
You can monitor the logs:
```bash
docker-compose logs -f bdb
docker-compose logs -f bdb-rdb
```
If you wish to run the tests:
```bash
docker-compose run --rm bdb py.test -v -n auto
docker-compose run --rm bdb-rdb py.test -v -n auto
```
### Docker with MongoDB
@ -128,19 +130,19 @@ $ docker-compose port mdb 27017
Start a BigchainDB node:
```bash
docker-compose up -d bdb-mdb
docker-compose up -d bdb
```
You can monitor the logs:
```bash
docker-compose logs -f bdb-mdb
docker-compose logs -f bdb
```
If you wish to run the tests:
```bash
docker-compose run --rm bdb-mdb py.test -v --database-backend=mongodb
docker-compose run --rm bdb py.test -v --database-backend=mongodb
```
### Accessing the HTTP API

View File

@ -14,18 +14,16 @@ community projects listed below.
.. toctree::
:maxdepth: 1
http-client-server-api
websocket-event-stream-api
The Python Driver <https://docs.bigchaindb.com/projects/py-driver/en/latest/index.html>
Transaction CLI <https://docs.bigchaindb.com/projects/cli/en/latest/>
Community Driven Libraries and Tools
Community-Driven Libraries and Tools
------------------------------------
Please note that some of these projects may be work in progress, but may
nevertheless be very useful.
* `Javascript transaction builder <https://github.com/sohkai/js-bigchaindb-quickstart>`_
* `Haskell transaction builder <https://github.com/libscott/bigchaindb-hs>`_
* `Haskell transaction builder <https://github.com/bigchaindb/bigchaindb-hs>`_
* `Go driver <https://github.com/zbo14/envoke/blob/master/bigchain/bigchain.go>`_
* `Java driver <https://github.com/mgrand/bigchaindb-java-driver>`_

View File

@ -22,7 +22,7 @@ or ``https://example.com:9984``
then you should get an HTTP response
with something like the following in the body:
.. literalinclude:: samples/index-response.http
.. literalinclude:: http-samples/index-response.http
:language: http
@ -35,7 +35,7 @@ or ``https://example.com:9984/api/v1/``,
then you should get an HTTP response
that allows you to discover the BigchainDB API endpoints:
.. literalinclude:: samples/api-index-response.http
.. literalinclude:: http-samples/api-index-response.http
:language: http
@ -58,12 +58,12 @@ Transactions
**Example request**:
.. literalinclude:: samples/get-tx-id-request.http
.. literalinclude:: http-samples/get-tx-id-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-tx-id-response.http
.. literalinclude:: http-samples/get-tx-id-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -110,12 +110,12 @@ Transactions
**Example request**:
.. literalinclude:: samples/get-tx-by-asset-request.http
.. literalinclude:: http-samples/get-tx-by-asset-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-tx-by-asset-response.http
.. literalinclude:: http-samples/get-tx-by-asset-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -139,12 +139,12 @@ Transactions
**Example request**:
.. literalinclude:: samples/post-tx-request.http
.. literalinclude:: http-samples/post-tx-request.http
:language: http
**Example response**:
.. literalinclude:: samples/post-tx-response.http
.. literalinclude:: http-samples/post-tx-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -227,12 +227,12 @@ Statuses
**Example request**:
.. literalinclude:: samples/get-statuses-tx-request.http
.. literalinclude:: http-samples/get-statuses-tx-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-statuses-tx-valid-response.http
.. literalinclude:: http-samples/get-statuses-tx-valid-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -250,17 +250,17 @@ Statuses
**Example request**:
.. literalinclude:: samples/get-statuses-block-request.http
.. literalinclude:: http-samples/get-statuses-block-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-statuses-block-invalid-response.http
.. literalinclude:: http-samples/get-statuses-block-invalid-response.http
:language: http
**Example response**:
.. literalinclude:: samples/get-statuses-block-valid-response.http
.. literalinclude:: http-samples/get-statuses-block-valid-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -298,12 +298,12 @@ Blocks
**Example request**:
.. literalinclude:: samples/get-block-request.http
.. literalinclude:: http-samples/get-block-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-block-response.http
.. literalinclude:: http-samples/get-block-response.http
:language: http
@ -353,12 +353,12 @@ Blocks
**Example request**:
.. literalinclude:: samples/get-block-txid-request.http
.. literalinclude:: http-samples/get-block-txid-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-block-txid-response.http
.. literalinclude:: http-samples/get-block-txid-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -384,12 +384,12 @@ Votes
**Example request**:
.. literalinclude:: samples/get-vote-request.http
.. literalinclude:: http-samples/get-vote-request.http
:language: http
**Example response**:
.. literalinclude:: samples/get-vote-response.http
.. literalinclude:: http-samples/get-vote-response.http
:language: http
:resheader Content-Type: ``application/json``
@ -406,7 +406,7 @@ Determining the API Root URL
When you start BigchainDB Server using ``bigchaindb start``,
an HTTP API is exposed at some address. The default is:
`http://localhost:9984/api/v1/ <http://localhost:9984/api/v1/>`_
``http://localhost:9984/api/v1/``
It's bound to ``localhost``,
so you can access it from the same machine,

View File

@ -8,9 +8,11 @@ BigchainDB Server Documentation
introduction
quickstart
cloud-deployment-templates/index
nodes/index
production-nodes/index
dev-and-test/index
server-reference/index
http-client-server-api
websocket-event-stream-api
drivers-clients/index
clusters-feds/index
data-models/index

View File

@ -1,10 +0,0 @@
Production Node Assumptions, Components & Requirements
======================================================
.. toctree::
:maxdepth: 1
node-assumptions
node-components
node-requirements
setup-run-node

View File

@ -1,13 +0,0 @@
# Production Node Assumptions
If you're not sure what we mean by a BigchainDB *node*, *cluster*, *consortium*, or *production node*, then see [the section in the Introduction where we defined those terms](../introduction.html#some-basic-vocabulary).
We make some assumptions about production nodes:
1. **Each production node is set up and managed by an experienced professional system administrator (or a team of them).**
2. Each production node in a cluster is managed by a different person or team.
Because of the first assumption, we don't provide a detailed cookbook explaining how to secure a server, or other things that a sysadmin should know. (We do provide some [templates](../cloud-deployment-templates/index.html), but those are just a starting point.)

View File

@ -1,23 +0,0 @@
# Production Node Components
A BigchainDB node must include, at least:
* BigchainDB Server and
* RethinkDB Server.
When doing development and testing, it's common to install both on the same machine, but in a production environment, it may make more sense to install them on separate machines.
In a production environment, a BigchainDB node should have several other components, including:
* nginx or similar, as a reverse proxy and/or load balancer for the Gunicorn server(s) inside the node
* An NTP daemon running on all machines running BigchainDB code, and possibly other machines
* A RethinkDB proxy server
* A RethinkDB "wire protocol firewall" (in the future: this component doesn't exist yet)
* Scalable storage for RethinkDB (e.g. using RAID)
* Monitoring software, to monitor all the machines in the node
* Configuration management agents (if you're using a configuration managment system that uses agents)
* Maybe more
The relationship between these components is illustrated below.
![Components of a node](../_static/Node-components.png)

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@ -1,193 +0,0 @@
# Set Up and Run a Cluster Node
This is a page of general guidelines for setting up a production node. It says nothing about how to upgrade software, storage, processing, etc. or other details of node management. It will be expanded more in the future.
## Get a Server
The first step is to get a server (or equivalent) which meets [the requirements for a BigchainDB node](node-requirements.html).
## Secure Your Server
The steps that you must take to secure your server depend on your server OS and where your server is physically located. There are many articles and books about how to secure a server. Here we just cover special considerations when securing a BigchainDB node.
There are some [notes on BigchainDB-specific firewall setup](../appendices/firewall-notes.html) in the Appendices.
## Sync Your System Clock
A BigchainDB node uses its system clock to generate timestamps for blocks and votes, so that clock should be kept in sync with some standard clock(s). The standard way to do that is to run an NTP daemon (Network Time Protocol daemon) on the node. (You could also use tlsdate, which uses TLS timestamps rather than NTP, but don't: it's not very accurate and it will break with TLS 1.3, which removes the timestamp.)
NTP is a standard protocol. There are many NTP daemons implementing it. We don't recommend a particular one. On the contrary, we recommend that different nodes in a cluster run different NTP daemons, so that a problem with one daemon won't affect all nodes.
Please see the [notes on NTP daemon setup](../appendices/ntp-notes.html) in the Appendices.
## Set Up Storage for RethinkDB Data
Below are some things to consider when setting up storage for the RethinkDB data. The Appendices have a [section with concrete examples](../appendices/example-rethinkdb-storage-setups.html).
We suggest you set up a separate storage "device" (partition, RAID array, or logical volume) to store the RethinkDB data. Here are some questions to ask:
* How easy will it be to add storage in the future? Will I have to shut down my server?
* How big can the storage get? (Remember that [RAID](https://en.wikipedia.org/wiki/RAID) can be used to make several physical drives look like one.)
* How fast can it read & write data? How many input/output operations per second (IOPS)?
* How does IOPS scale as more physical hard drives are added?
* What's the latency?
* What's the reliability? Is there replication?
* What's in the Service Level Agreement (SLA), if applicable?
* What's the cost?
There are many options and tradeoffs. Don't forget to look into Amazon Elastic Block Store (EBS) and Amazon Elastic File System (EFS), or their equivalents from other providers.
**Storage Notes Specific to RethinkDB**
* The RethinkDB storage engine has a number of SSD optimizations, so you _can_ benefit from using SSDs. ([source](https://www.rethinkdb.com/docs/architecture/))
* If you want a RethinkDB cluster to store an amount of data D, with a replication factor of R (on every table), and the cluster has N nodes, then each node will need to be able to store R×D/N data.
* RethinkDB tables can have [at most 64 shards](https://rethinkdb.com/limitations/). For example, if you have only one table and more than 64 nodes, some nodes won't have the primary of any shard, i.e. they will have replicas only. In other words, once you pass 64 nodes, adding more nodes won't provide more storage space for new data. If the biggest single-node storage available is d, then the most you can store in a RethinkDB cluster is < 64×d: accomplished by putting one primary shard in each of 64 nodes, with all replica shards on other nodes. (This is assuming one table. If there are T tables, then the most you can store is < 64×d×T.)
* When you set up storage for your RethinkDB data, you may have to select a filesystem. (Sometimes, the filesystem is already decided by the choice of storage.) We recommend using a filesystem that supports direct I/O (Input/Output). Many compressed or encrypted file systems don't support direct I/O. The ext4 filesystem supports direct I/O (but be careful: if you enable the data=journal mode, then direct I/O support will be disabled; the default is data=ordered). If your chosen filesystem supports direct I/O and you're using Linux, then you don't need to do anything to request or enable direct I/O. RethinkDB does that.
<p style="background-color: lightgrey;">What is direct I/O? It allows RethinkDB to write directly to the storage device (or use its own in-memory caching mechanisms), rather than relying on the operating system's file read and write caching mechanisms. (If you're using Linux, a write-to-file normally writes to the in-memory Page Cache first; only later does that Page Cache get flushed to disk. The Page Cache is also used when reading files.)</p>
* RethinkDB stores its data in a specific directory. You can tell RethinkDB _which_ directory using the RethinkDB config file, as explained below. In this documentation, we assume the directory is `/data`. If you set up a separate device (partition, RAID array, or logical volume) to store the RethinkDB data, then mount that device on `/data`.
## Install RethinkDB Server
If you don't already have RethinkDB Server installed, you must install it. The RethinkDB documentation has instructions for [how to install RethinkDB Server on a variety of operating systems](https://rethinkdb.com/docs/install/).
## Configure RethinkDB Server
Create a RethinkDB configuration file (text file) named `instance1.conf` with the following contents (explained below):
```text
directory=/data
bind=all
direct-io
# Replace node?_hostname with actual node hostnames below, e.g. rdb.examples.com
join=node0_hostname:29015
join=node1_hostname:29015
join=node2_hostname:29015
# continue until there's a join= line for each node in the cluster
```
* `directory=/data` tells the RethinkDB node to store its share of the database data in `/data`.
* `bind=all` binds RethinkDB to all local network interfaces (e.g. loopback, Ethernet, wireless, whatever is available), so it can communicate with the outside world. (The default is to bind only to local interfaces.)
* `direct-io` tells RethinkDB to use direct I/O (explained earlier). Only include this line if your file system supports direct I/O.
* `join=hostname:29015` lines: A cluster node needs to find out the hostnames of all the other nodes somehow. You _could_ designate one node to be the one that every other node asks, and put that node's hostname in the config file, but that wouldn't be very decentralized. Instead, we include _every_ node in the list of nodes-to-ask.
If you're curious about the RethinkDB config file, there's [a RethinkDB documentation page about it](https://www.rethinkdb.com/docs/config-file/). The [explanations of the RethinkDB command-line options](https://rethinkdb.com/docs/cli-options/) are another useful reference.
See the [RethinkDB documentation on securing your cluster](https://rethinkdb.com/docs/security/).
## Install Python 3.4+
If you don't already have it, then you should [install Python 3.4+](https://www.python.org/downloads/).
If you're testing or developing BigchainDB on a stand-alone node, then you should probably create a Python 3.4+ virtual environment and activate it (e.g. using virtualenv or conda). Later we will install several Python packages and you probably only want those installed in the virtual environment.
## Install BigchainDB Server
First, [install the OS-level dependencies of BigchainDB Server (link)](../appendices/install-os-level-deps.html).
With OS-level dependencies installed, you can install BigchainDB Server with `pip` or from source.
### How to Install BigchainDB with pip
BigchainDB (i.e. both the Server and the officially-supported drivers) is distributed as a Python package on PyPI so you can install it using `pip`. First, make sure you have an up-to-date Python 3.4+ version of `pip` installed:
```text
pip -V
```
If it says that `pip` isn't installed, or it says `pip` is associated with a Python version less than 3.4, then you must install a `pip` version associated with Python 3.4+. In the following instructions, we call it `pip3` but you may be able to use `pip` if that refers to the same thing. See [the `pip` installation instructions](https://pip.pypa.io/en/stable/installing/).
On Ubuntu 16.04, we found that this works:
```text
sudo apt-get install python3-pip
```
That should install a Python 3 version of `pip` named `pip3`. If that didn't work, then another way to get `pip3` is to do `sudo apt-get install python3-setuptools` followed by `sudo easy_install3 pip`.
You can upgrade `pip` (`pip3`) and `setuptools` to the latest versions using:
```text
pip3 install --upgrade pip setuptools
pip3 -V
```
Now you can install BigchainDB Server (and officially-supported BigchainDB drivers) using:
```text
pip3 install bigchaindb
```
(If you're not in a virtualenv and you want to install bigchaindb system-wide, then put `sudo` in front.)
Note: You can use `pip3` to upgrade the `bigchaindb` package to the latest version using `pip3 install --upgrade bigchaindb`.
### How to Install BigchainDB from Source
If you want to install BitchainDB from source because you want to use the very latest bleeding-edge code, clone the public repository:
```text
git clone git@github.com:bigchaindb/bigchaindb.git
python setup.py install
```
## Configure BigchainDB Server
Start by creating a default BigchainDB config file:
```text
bigchaindb -y configure rethinkdb
```
(There's documentation for the `bigchaindb` command is in the section on [the BigchainDB Command Line Interface (CLI)](bigchaindb-cli.html).)
Edit the created config file:
* Open `$HOME/.bigchaindb` (the created config file) in your text editor.
* Change `"server": {"bind": "localhost:9984", ... }` to `"server": {"bind": "0.0.0.0:9984", ... }`. This makes it so traffic can come from any IP address to port 9984 (the HTTP Client-Server API port).
* Change `"keyring": []` to `"keyring": ["public_key_of_other_node_A", "public_key_of_other_node_B", "..."]` i.e. a list of the public keys of all the other nodes in the cluster. The keyring should _not_ include your node's public key.
For more information about the BigchainDB config file, see [Configuring a BigchainDB Node](configuration.html).
## Run RethinkDB Server
Start RethinkDB using:
```text
rethinkdb --config-file path/to/instance1.conf
```
except replace the path with the actual path to `instance1.conf`.
Note: It's possible to [make RethinkDB start at system startup](https://www.rethinkdb.com/docs/start-on-startup/).
You can verify that RethinkDB is running by opening the RethinkDB web interface in your web browser. It should be at `http://rethinkdb-hostname:8080/`. If you're running RethinkDB on localhost, that would be [http://localhost:8080/](http://localhost:8080/).
## Run BigchainDB Server
After all node operators have started RethinkDB, but before they start BigchainDB, one designated node operator must configure the RethinkDB database by running the following commands:
```text
bigchaindb init
bigchaindb set-shards numshards
bigchaindb set-replicas numreplicas
```
where:
* `bigchaindb init` creates the database within RethinkDB, the tables, the indexes, and the genesis block.
* `numshards` should be set to the number of nodes in the initial cluster.
* `numreplicas` should be set to the database replication factor decided by the consortium. It must be 3 or more for [RethinkDB failover](https://rethinkdb.com/docs/failover/) to work.
Once the RethinkDB database is configured, every node operator can start BigchainDB using:
```text
bigchaindb start
```

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@ -0,0 +1,12 @@
Production Nodes
================
.. toctree::
:maxdepth: 1
node-assumptions
node-components
node-requirements
setup-run-node
reverse-proxy-notes

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@ -0,0 +1,16 @@
# Production Node Assumptions
Be sure you know the key BigchainDB terminology:
* [BigchainDB node, BigchainDB cluster and BigchainDB consortum](https://docs.bigchaindb.com/en/latest/terminology.html)
* [dev/test node, bare-bones node and production node](../introduction.html)
We make some assumptions about production nodes:
1. Production nodes use MongoDB, not RethinkDB.
1. Each production node is set up and managed by an experienced professional system administrator or a team of them.
1. Each production node in a cluster is managed by a different person or team.
You can use RethinkDB when building prototypes, but we don't advise or support using it in production.
We don't provide a detailed cookbook explaining how to secure a server, or other things that a sysadmin should know. (We do provide some [templates](../cloud-deployment-templates/index.html), but those are just a starting point.)

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# Production Node Components
A production BigchainDB node must include:
* BigchainDB Server
* MongoDB Server 3.4+ (mongod)
* Scalable storage for MongoDB
It could also include several other components, including:
* NGINX or similar, to provide authentication, rate limiting, etc.
* An NTP daemon running on all machines running BigchainDB Server or mongod, and possibly other machines
* **Not** MongoDB Automation Agent. It's for automating the deployment of an entire MongoDB cluster, not just one MongoDB node within a cluster.
* MongoDB Monitoring Agent
* MongoDB Backup Agent
* Log aggregation software
* Monitoring software
* Maybe more
The relationship between the main components is illustrated below. Note that BigchainDB Server must be able to communicate with the _primary_ MongoDB instance, and any of the MongoDB instances might be the primary, so BigchainDB Server must be able to communicate with all the MongoDB instances. Also, all MongoDB instances must be able to communicate with each other.
![Components of a production node](../_static/Node-components.png)

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@ -0,0 +1,17 @@
# Production Node Requirements
**This page is about the requirements of BigchainDB Server.** You can find the requirements of MongoDB, NGINX, your NTP daemon, your monitoring software, and other [production node components](node-components.html) in the documentation for that software.
## OS Requirements
BigchainDB Server requires Python 3.4+ and Python 3.4+ [will run on any modern OS](https://docs.python.org/3.4/using/index.html), but we recommend using an LTS version of [Ubuntu Server](https://www.ubuntu.com/server) or a similarly server-grade Linux distribution.
_Don't use macOS_ (formerly OS X, formerly Mac OS X), because it's not a server-grade operating system. Also, BigchaindB Server uses the Python multiprocessing package and [some functionality in the multiprocessing package doesn't work on Mac OS X](https://docs.python.org/3.4/library/multiprocessing.html#multiprocessing.Queue.qsize).
## General Considerations
BigchainDB Server runs many concurrent processes, so more RAM and more CPU cores is better.
As mentioned on the page about [production node components](node-components.html), every machine running BigchainDB Server should be running an NTP daemon.

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# Using a Reverse Proxy
You may want to:
* rate limit inbound HTTP requests,
* authenticate/authorize inbound HTTP requests,
* block requests with an HTTP request body that's too large, or
* enable HTTPS (TLS) between your users and your node.
While we could have built all that into BigchainDB Server,
we didn't, because you can do all that (and more)
using a reverse proxy such as NGINX or HAProxy.
(You would put it in front of your BigchainDB Server,
so that all inbound HTTP requests would arrive
at the reverse proxy before *maybe* being proxied
onwards to your BigchainDB Server.)
For detailed instructions, see the documentation
for your reverse proxy.
Below, we note how a reverse proxy can be used
to do some BigchainDB-specific things.
You may also be interested in
[our NGINX configuration file template](https://github.com/bigchaindb/nginx_3scale/blob/master/nginx.conf.template)
(open source, on GitHub).
## Enforcing a Max Transaction Size
The BigchainDB HTTP API has several endpoints,
but only one of them, the `POST /transactions` endpoint,
expects a non-empty HTTP request body:
the transaction (JSON) being submitted by the user.
If you want to enforce a maximum-allowed transaction size
(discarding any that are larger),
then you can do so by configuring a maximum request body size
in your reverse proxy.
For example, NGINX has the `client_max_body_size`
configuration setting. You could set it to 15 kB
with the following line in your NGINX config file:
```text
client_max_body_size 15k;
```
For more information, see
[the NGINX docs about client_max_body_size](https://nginx.org/en/docs/http/ngx_http_core_module.html#client_max_body_size).
Note: By enforcing a maximum transaction size, you
[indirectly enforce a maximum crypto-conditions complexity](https://github.com/bigchaindb/bigchaindb/issues/356#issuecomment-288085251).
**Aside: Why 15 kB?**
Both [RethinkDB](https://rethinkdb.com/limitations/) and
[MongoDB have a maximum document size of 16 MB](https://docs.mongodb.com/manual/reference/limits/#limit-bson-document-size).
In BigchainDB, the biggest documents are the blocks.
A BigchainDB block can contain up to 1000 transactions,
plus some other data (e.g. the timestamp).
If we ignore the other data as negligible relative to all the transactions,
then a block of size 16 MB
will have an average transaction size of (16 MB)/1000 = 16 kB.
Therefore by limiting the max transaction size to 15 kB,
you can be fairly sure that no blocks will ever be
bigger than 16 MB.
Note: Technically, the documents that MongoDB stores aren't the JSON
that BigchainDB users think of; they're JSON converted to BSON.
Moreover, [one can use GridFS with MongoDB to store larger documents](https://docs.mongodb.com/manual/core/gridfs/).
Therefore the above calculation shoud be seen as a rough guide,
not the last word.

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# Set Up and Run a Cluster Node
This is a page of general guidelines for setting up a production BigchainDB node. Before continuing, make sure you've read the pages about production node [assumptions](node-assumptions.html), [components](node-components.html) and [requirements](node-requirements.html).
Note: These are just guidelines. You can modify them to suit your needs. For example, if you want to initialize the MongoDB replica set before installing BigchainDB, you _can_ do that. If you'd prefer to use Docker and Kubernetes, you can (and [we have a template](../cloud-deployment-templates/node-on-kubernetes.html)). We don't cover all possible setup procedures here.
## Security Guidelines
There are many articles, websites and books about securing servers, virtual machines, networks, etc. Consult those.
There are some [notes on BigchainDB-specific firewall setup](../appendices/firewall-notes.html) in the Appendices.
## Sync Your System Clock
A BigchainDB node uses its system clock to generate timestamps for blocks and votes, so that clock should be kept in sync with some standard clock(s). The standard way to do that is to run an NTP daemon (Network Time Protocol daemon) on the node.
MongoDB also recommends having an NTP daemon running on all MongoDB nodes.
NTP is a standard protocol. There are many NTP daemons implementing it. We don't recommend a particular one. On the contrary, we recommend that different nodes in a cluster run different NTP daemons, so that a problem with one daemon won't affect all nodes.
Please see the [notes on NTP daemon setup](../appendices/ntp-notes.html) in the Appendices.
## Set Up Storage for MongoDB
We suggest you set up a separate storage device (partition, RAID array, or logical volume) to store the data in the MongoDB database. Here are some questions to ask:
* How easy will it be to add storage in the future? Will I have to shut down my server?
* How big can the storage get? (Remember that [RAID](https://en.wikipedia.org/wiki/RAID) can be used to make several physical drives look like one.)
* How fast can it read & write data? How many input/output operations per second (IOPS)?
* How does IOPS scale as more physical hard drives are added?
* What's the latency?
* What's the reliability? Is there replication?
* What's in the Service Level Agreement (SLA), if applicable?
* What's the cost?
There are many options and tradeoffs.
Consult the MongoDB documentation for its recommendations regarding storage hardware, software and settings, e.g. in the [MongoDB Production Notes](https://docs.mongodb.com/manual/administration/production-notes/).
## Install and Run MongoDB
* [Install MongoDB 3.4+](https://docs.mongodb.com/manual/installation/). (BigchainDB only works with MongoDB 3.4+.)
* [Run MongoDB (mongod)](https://docs.mongodb.com/manual/reference/program/mongod/)
## Install BigchainDB Server
### Install BigchainDB Server Dependencies
Before you can install BigchainDB Server, you must [install its OS-level dependencies](../appendices/install-os-level-deps.html) and you may have to [install Python 3.4+](https://www.python.org/downloads/).
### How to Install BigchainDB Server with pip
BigchainDB is distributed as a Python package on PyPI so you can install it using `pip`. First, make sure you have an up-to-date Python 3.4+ version of `pip` installed:
```text
pip -V
```
If it says that `pip` isn't installed, or it says `pip` is associated with a Python version less than 3.4, then you must install a `pip` version associated with Python 3.4+. In the following instructions, we call it `pip3` but you may be able to use `pip` if that refers to the same thing. See [the `pip` installation instructions](https://pip.pypa.io/en/stable/installing/).
On Ubuntu 16.04, we found that this works:
```text
sudo apt-get install python3-pip
```
That should install a Python 3 version of `pip` named `pip3`. If that didn't work, then another way to get `pip3` is to do `sudo apt-get install python3-setuptools` followed by `sudo easy_install3 pip`.
You can upgrade `pip` (`pip3`) and `setuptools` to the latest versions using:
```text
pip3 install --upgrade pip setuptools
pip3 -V
```
Now you can install BigchainDB Server using:
```text
pip3 install bigchaindb
```
(If you're not in a virtualenv and you want to install bigchaindb system-wide, then put `sudo` in front.)
Note: You can use `pip3` to upgrade the `bigchaindb` package to the latest version using `pip3 install --upgrade bigchaindb`.
### How to Install BigchainDB Server from Source
If you want to install BitchainDB from source because you want to use the very latest bleeding-edge code, clone the public repository:
```text
git clone git@github.com:bigchaindb/bigchaindb.git
cd bigchaindb
python setup.py install
```
## Configure BigchainDB Server
Start by creating a default BigchainDB config file for a MongoDB backend:
```text
bigchaindb -y configure mongodb
```
(There's documentation for the `bigchaindb` command is in the section on [the BigchainDB Command Line Interface (CLI)](../server-reference/bigchaindb-cli.html).)
Edit the created config file by opening `$HOME/.bigchaindb` (the created config file) in your text editor:
* Change `"server": {"bind": "localhost:9984", ... }` to `"server": {"bind": "0.0.0.0:9984", ... }`. This makes it so traffic can come from any IP address to port 9984 (the HTTP Client-Server API port).
* Change `"keyring": []` to `"keyring": ["public_key_of_other_node_A", "public_key_of_other_node_B", "..."]` i.e. a list of the public keys of all the other nodes in the cluster. The keyring should _not_ include your node's public key.
* Ensure that `database.host` and `database.port` are set to the hostname and port of your MongoDB instance. (The port is usually 27017, unless you changed it.)
For more information about the BigchainDB config file, see the page about the [BigchainDB configuration settings](../server-reference/configuration.html).
## Get All Other Nodes to Update Their Keyring
All other BigchainDB nodes in the cluster must add your new node's public key to their BigchainDB keyring. Currently, the only way to get BigchainDB Server to "notice" a changed keyring is to shut it down and start it back up again (with the new keyring).
## Maybe Update the MongoDB Replica Set
**If this isn't the first node in the BigchainDB cluster**, then someone with an existing BigchainDB node (not you) must add your MongoDB instance to the MongoDB replica set. They can do so (on their node) using:
```text
bigchaindb add-replicas your-mongod-hostname:27017
```
where they must replace `your-mongod-hostname` with the actual hostname of your MongoDB instance, and they may have to replace `27017` with the actual port.
## Start BigchainDB
**Warning: If you're not deploying the first node in the BigchainDB cluster, then don't start BigchainDB before your MongoDB instance has been added to the MongoDB replica set (as outlined above).**
```text
# See warning above
bigchaindb start
```

View File

@ -16,12 +16,14 @@ For convenience, here's a list of all the relevant environment variables (docume
`BIGCHAINDB_DATABASE_PORT`<br>
`BIGCHAINDB_DATABASE_NAME`<br>
`BIGCHAINDB_DATABASE_REPLICASET`<br>
`BIGCHAINDB_DATABASE_CONNECTION_TIMEOUT`<br>
`BIGCHAINDB_DATABASE_MAX_TRIES`<br>
`BIGCHAINDB_SERVER_BIND`<br>
`BIGCHAINDB_SERVER_LOGLEVEL`<br>
`BIGCHAINDB_SERVER_WORKERS`<br>
`BIGCHAINDB_SERVER_THREADS`<br>
`BIGCHAINDB_CONFIG_PATH`<br>
`BIGCHAINDB_BACKLOG_REASSIGN_DELAY`<br>
`BIGCHAINDB_CONSENSUS_PLUGIN`<br>
`BIGCHAINDB_LOG`<br>
`BIGCHAINDB_LOG_FILE`<br>
`BIGCHAINDB_LOG_LEVEL_CONSOLE`<br>
@ -85,9 +87,18 @@ Note how the keys in the list are separated by colons.
```
## database.backend, database.host, database.port, database.name & database.replicaset
## database.*
The database backend to use (`rethinkdb` or `mongodb`) and its hostname, port and name. If the database backend is `mongodb`, then there's a fifth setting: the name of the replica set. If the database backend is `rethinkdb`, you *can* set the name of the replica set, but it won't be used for anything.
The settings with names of the form `database.*` are for the database backend
(currently either RethinkDB or MongoDB). They are:
* `database.backend` is either `rethinkdb` or `mongodb`.
* `database.host` is the hostname (FQDN) of the backend database.
* `database.port` is self-explanatory.
* `database.name` is a user-chosen name for the database inside RethinkDB or MongoDB, e.g. `bigchain`.
* `database.replicaset` is only relevant if using MongoDB; it's the name of the MongoDB replica set, e.g. `bigchain-rs`.
* `database.connection_timeout` is the maximum number of milliseconds that BigchainDB will wait before giving up on one attempt to connect to the database backend. Note: At the time of writing, this setting was only used by MongoDB; there was an open [issue to make RethinkDB use it as well](https://github.com/bigchaindb/bigchaindb/issues/1337).
* `database.max_tries` is the maximum number of times that BigchainDB will try to establish a connection with the database backend. If 0, then it will try forever.
**Example using environment variables**
```text
@ -96,6 +107,8 @@ export BIGCHAINDB_DATABASE_HOST=localhost
export BIGCHAINDB_DATABASE_PORT=27017
export BIGCHAINDB_DATABASE_NAME=bigchain
export BIGCHAINDB_DATABASE_REPLICASET=bigchain-rs
export BIGCHAINDB_DATABASE_CONNECTION_TIMEOUT=5000
export BIGCHAINDB_DATABASE_MAX_TRIES=3
```
**Default values**
@ -105,8 +118,10 @@ If (no environment variables were set and there's no local config file), or you
"database": {
"backend": "rethinkdb",
"host": "localhost",
"port": 28015,
"name": "bigchain",
"port": 28015
"connection_timeout": 5000,
"max_tries": 3
}
```
@ -115,24 +130,31 @@ If you used `bigchaindb -y configure mongodb` to create a default local config f
"database": {
"backend": "mongodb",
"host": "localhost",
"name": "bigchain",
"port": 27017,
"replicaset": "bigchain-rs"
"name": "bigchain",
"replicaset": "bigchain-rs",
"connection_timeout": 5000,
"max_tries": 3
}
```
## server.bind, server.workers & server.threads
## server.bind, server.loglevel, server.workers & server.threads
These settings are for the [Gunicorn HTTP server](http://gunicorn.org/), which is used to serve the [HTTP client-server API](../drivers-clients/http-client-server-api.html).
These settings are for the [Gunicorn HTTP server](http://gunicorn.org/), which is used to serve the [HTTP client-server API](../http-client-server-api.html).
`server.bind` is where to bind the Gunicorn HTTP server socket. It's a string. It can be any valid value for [Gunicorn's bind setting](http://docs.gunicorn.org/en/stable/settings.html#bind). If you want to allow IPv4 connections from anyone, on port 9984, use '0.0.0.0:9984'. In a production setting, we recommend you use Gunicorn behind a reverse proxy server. If Gunicorn and the reverse proxy are running on the same machine, then use 'localhost:PORT' where PORT is _not_ 9984 (because the reverse proxy needs to listen on port 9984). Maybe use PORT=9983 in that case because we know 9983 isn't used. If Gunicorn and the reverse proxy are running on different machines, then use 'A.B.C.D:9984' where A.B.C.D is the IP address of the reverse proxy. There's [more information about deploying behind a reverse proxy in the Gunicorn documentation](http://docs.gunicorn.org/en/stable/deploy.html). (They call it a proxy.)
`server.loglevel` sets the log level of Gunicorn's Error log outputs. See
[Gunicorn's documentation](http://docs.gunicorn.org/en/latest/settings.html#loglevel)
for more information.
`server.workers` is [the number of worker processes](http://docs.gunicorn.org/en/stable/settings.html#workers) for handling requests. If `None` (the default), the value will be (cpu_count * 2 + 1). `server.threads` is [the number of threads-per-worker](http://docs.gunicorn.org/en/stable/settings.html#threads) for handling requests. If `None` (the default), the value will be (cpu_count * 2 + 1). The HTTP server will be able to handle `server.workers` * `server.threads` requests simultaneously.
**Example using environment variables**
```text
export BIGCHAINDB_SERVER_BIND=0.0.0.0:9984
export BIGCHAINDB_SERVER_LOGLEVEL=debug
export BIGCHAINDB_SERVER_WORKERS=5
export BIGCHAINDB_SERVER_THREADS=5
```
@ -141,6 +163,7 @@ export BIGCHAINDB_SERVER_THREADS=5
```js
"server": {
"bind": "0.0.0.0:9984",
"loglevel": "debug",
"workers": 5,
"threads": 5
}
@ -150,6 +173,7 @@ export BIGCHAINDB_SERVER_THREADS=5
```js
"server": {
"bind": "localhost:9984",
"loglevel": "info",
"workers": null,
"threads": null
}
@ -169,21 +193,9 @@ export BIGCHAINDB_BACKLOG_REASSIGN_DELAY=30
"backlog_reassign_delay": 120
```
## consensus_plugin
The [consensus plugin](../appendices/consensus.html) to use.
**Example using an environment variable**
```text
export BIGCHAINDB_CONSENSUS_PLUGIN=default
```
**Example config file snippet: the default**
```js
"consensus_plugin": "default"
```
## log
The `log` key is expected to point to a mapping (set of key/value pairs)
holding the logging configuration.

View File

@ -2,7 +2,9 @@ The WebSocket Event Stream API
==============================
.. important::
This is currently scheduled to be implemented in BigchainDB Server 0.10.
The WebSocket Event Stream runs on a different port than the Web API. The
default port for the Web API is `9984`, while the one for the Event Stream
is `9985`.
BigchainDB provides real-time event streams over the WebSocket protocol with
the Event Stream API.
@ -28,7 +30,7 @@ response contains a ``streams_<version>`` property in ``_links``::
{
"_links": {
"streams_v1": "ws://example.com:9984/api/v1/streams/"
"streams_v1": "ws://example.com:9985/api/v1/streams/"
}
}
@ -80,9 +82,9 @@ the transaction's ID, associated asset ID, and containing block's ID.
Example message::
{
"txid": "<sha3-256 hash>",
"assetid": "<sha3-256 hash>",
"blockid": "<sha3-256 hash>"
"tx_id": "<sha3-256 hash>",
"asset_id": "<sha3-256 hash>",
"block_id": "<sha3-256 hash>"
}

View File

@ -0,0 +1,13 @@
############################################################################
# This YAML file desribes a ConfigMap with a valid list of ':' separated #
# IP addresses (or 'all' for all IP addresses) that can connect to the #
# MongoDB instance. We only support the value 'all' currently. #
############################################################################
apiVersion: v1
kind: ConfigMap
metadata:
name: mongodb-whitelist
namespace: default
data:
allowed-hosts: "all"

View File

@ -0,0 +1,96 @@
###############################################################
# This config file runs nginx as a k8s deployment and exposes #
# it using an external load balancer. #
# This deployment is used as a front end to both BigchainDB #
# and MongoDB. #
###############################################################
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: ngx-instance-0-dep
spec:
replicas: 1
template:
metadata:
labels:
app: ngx-instance-0-dep
spec:
terminationGracePeriodSeconds: 10
containers:
- name: nginx-3scale
image: bigchaindb/nginx_3scale:0.1
# TODO(Krish): Change later to IfNotPresent
imagePullPolicy: Always
env:
- name: MONGODB_FRONTEND_PORT
value: $(NGX_INSTANCE_0_SERVICE_PORT_NGX_PUBLIC_MDB_PORT)
- name: MONGODB_BACKEND_HOST
value: mdb-instance-0.default.svc.cluster.local
- name: MONGODB_BACKEND_PORT
value: "27017"
- name: BIGCHAINDB_FRONTEND_PORT
value: $(NGX_INSTANCE_0_SERVICE_PORT_NGX_PUBLIC_BDB_PORT)
- name: BIGCHAINDB_BACKEND_HOST
value: bdb-instance-0.default.svc.cluster.local
- name: BIGCHAINDB_BACKEND_PORT
value: "9984"
- name: MONGODB_WHITELIST
valueFrom:
configMapKeyRef:
name: mongodb-whitelist
key: allowed-hosts
- name: DNS_SERVER
value: "10.0.0.10"
- name: NGINX_HEALTH_CHECK_PORT
value: "8888"
# TODO(Krish): use secrets for sensitive info
- name: THREESCALE_SECRET_TOKEN
value: "<Secret Token Here>"
- name: THREESCALE_SERVICE_ID
value: "<Service ID Here>"
- name: THREESCALE_VERSION_HEADER
value: "<Version Header Here>"
- name: THREESCALE_PROVIDER_KEY
value: "<Provider Key Here>"
- name: THREESCALE_FRONTEND_API_DNS_NAME
value: "<Frontend API FQDN Here>"
- name: THREESCALE_UPSTREAM_API_PORT
value: "<Upstream API Port Here>"
ports:
- containerPort: 27017
hostPort: 27017
name: public-mdb-port
protocol: TCP
- containerPort: 443
hostPort: 443
name: public-bdb-port
protocol: TCP
- containerPort: 8888
hostPort: 8888
name: health-check
protocol: TCP
- containerPort: 8080
hostPort: 8080
name: public-api-port
protocol: TCP
volumeMounts:
- name: https
mountPath: /usr/local/openresty/nginx/conf/ssl/
readOnly: true
resources:
limits:
cpu: 200m
memory: 768Mi
livenessProbe:
httpGet:
path: /
port: 8888
initialDelaySeconds: 15
timeoutSeconds: 10
restartPolicy: Always
volumes:
- name: https
secret:
secretName: certs
defaultMode: 0400

View File

@ -0,0 +1,13 @@
# Certificate data should be base64 encoded before embedding them here by using
# `cat cert.pem | base64 -w 0 > cert.pem.b64` and then copy the resulting
# value here. Same goes for cert.key.
# Ref: https://kubernetes.io/docs/concepts/configuration/secret/
apiVersion: v1
kind: Secret
metadata:
name: certs
type: Opaque
data:
cert.pem: <certificate data here>
cert.key: <key data here>

View File

@ -0,0 +1,29 @@
apiVersion: v1
kind: Service
metadata:
name: ngx-instance-0
namespace: default
labels:
name: ngx-instance-0
annotations:
# NOTE: the following annotation is a beta feature and
# only available in GCE/GKE and Azure as of now
# Ref: https://kubernetes.io/docs/tutorials/services/source-ip/
service.beta.kubernetes.io/external-traffic: OnlyLocal
spec:
selector:
app: ngx-instance-0-dep
ports:
- port: 443
targetPort: 443
name: ngx-public-bdb-port
protocol: TCP
- port: 8080
targetPort: 8080
name: ngx-public-3scale-port
protocol: TCP
- port: 27017
targetPort: 27017
name: ngx-public-mdb-port
protocol: TCP
type: LoadBalancer

View File

@ -54,6 +54,7 @@ tests_require = [
'pytest-mock',
'pytest-xdist',
'pytest-flask',
'pytest-aiohttp',
'tox',
] + docs_require
@ -76,6 +77,7 @@ install_requires = [
'multipipes~=0.1.0',
'jsonschema~=2.5.1',
'pyyaml~=3.12',
'aiohttp~=2.0',
]
setup(

View File

@ -68,20 +68,6 @@ The `pytest` command has many options. If you want to learn about all the things
You can also use [Docker Compose](https://docs.docker.com/compose/) to run all the tests.
#### With RethinkDB as the backend
First, start `RethinkDB` in the background:
```text
$ docker-compose up -d rdb
```
then run the tests using:
```text
$ docker-compose run --rm bdb py.test -v
```
#### With MongoDB as the backend
First, start `MongoDB` in the background:
@ -93,7 +79,7 @@ $ docker-compose up -d mdb
then run the tests using:
```text
$ docker-compose run --rm bdb-mdb py.test -v
$ docker-compose run --rm bdb py.test -v
```
If you've upgraded to a newer version of BigchainDB, you might have to rebuild
@ -103,8 +89,22 @@ the images before being able to run the tests. Run:
$ docker-compose build
```
#### With RethinkDB as the backend
First, start `RethinkDB` in the background:
```text
$ docker-compose up -d rdb
```
then run the tests using:
```text
$ docker-compose run --rm bdb-rdb py.test -v
```
to rebuild all the images (usually you only need to rebuild the `bdb` and
`bdb-mdb` images).
`bdb-rdb` images).
## Automated Testing of All Pull Requests

View File

@ -124,10 +124,39 @@ def test_bigchain_export_my_pubkey_when_pubkey_not_set(monkeypatch):
"This node's public key wasn't set anywhere so it can't be exported"
def test_bigchain_run_init_when_db_exists(mock_db_init_with_existing_db):
def test_bigchain_run_init_when_db_exists(mocker, capsys):
from bigchaindb.commands.bigchaindb import run_init
from bigchaindb.common.exceptions import DatabaseAlreadyExists
init_db_mock = mocker.patch(
'bigchaindb.commands.bigchaindb.schema.init_database',
autospec=True,
spec_set=True,
)
init_db_mock.side_effect = DatabaseAlreadyExists
args = Namespace(config=None)
run_init(args)
output_message = capsys.readouterr()[1]
print(output_message)
assert output_message == (
'The database already exists.\n'
'If you wish to re-initialize it, first drop it.\n'
)
def test__run_init(mocker):
from bigchaindb.commands.bigchaindb import _run_init
bigchain_mock = mocker.patch(
'bigchaindb.commands.bigchaindb.bigchaindb.Bigchain')
init_db_mock = mocker.patch(
'bigchaindb.commands.bigchaindb.schema.init_database',
autospec=True,
spec_set=True,
)
_run_init()
bigchain_mock.assert_called_once_with()
init_db_mock.assert_called_once_with(
connection=bigchain_mock.return_value.connection)
bigchain_mock.return_value.create_genesis_block.assert_called_once_with()
@patch('bigchaindb.backend.schema.drop_database')

View File

@ -199,3 +199,27 @@ def test_full_pipeline(b, user_pk):
tx_from_block = set([tx.id for tx in invalid_block.transactions])
tx_from_backlog = set([tx['id'] for tx in list(query.get_stale_transactions(b.connection, 0))])
assert tx_from_block == tx_from_backlog
def test_handle_block_events():
from bigchaindb.events import setup_events_queue, EventTypes
events_queue = setup_events_queue()
e = election.Election(events_queue=events_queue)
block_id = 'a' * 64
assert events_queue.qsize() == 0
# no event should be emitted in case a block is undecided
e.handle_block_events({'status': Bigchain.BLOCK_UNDECIDED}, block_id)
assert events_queue.qsize() == 0
# put an invalid block event in the queue
e.handle_block_events({'status': Bigchain.BLOCK_INVALID}, block_id)
event = e.event_handler.get_event()
assert event.type == EventTypes.BLOCK_INVALID
# put a valid block event in the queue
e.handle_block_events({'status': Bigchain.BLOCK_VALID}, block_id)
event = e.event_handler.get_event()
assert event.type == EventTypes.BLOCK_VALID

View File

@ -144,6 +144,8 @@ def test_autoconfigure_read_both_from_file_and_env(monkeypatch, request):
DATABASE_PORT = 4242
DATABASE_BACKEND = request.config.getoption('--database-backend')
SERVER_BIND = '1.2.3.4:56'
WSSERVER_HOST = '1.2.3.4'
WSSERVER_PORT = 57
KEYRING = 'pubkey_0:pubkey_1:pubkey_2'
file_config = {
@ -157,6 +159,8 @@ def test_autoconfigure_read_both_from_file_and_env(monkeypatch, request):
'BIGCHAINDB_DATABASE_PORT': str(DATABASE_PORT),
'BIGCHAINDB_DATABASE_BACKEND': DATABASE_BACKEND,
'BIGCHAINDB_SERVER_BIND': SERVER_BIND,
'BIGCHAINDB_WSSERVER_HOST': WSSERVER_HOST,
'BIGCHAINDB_WSSERVER_PORT': WSSERVER_PORT,
'BIGCHAINDB_KEYRING': KEYRING})
import bigchaindb
@ -198,6 +202,10 @@ def test_autoconfigure_read_both_from_file_and_env(monkeypatch, request):
'workers': None,
'threads': None,
},
'wsserver': {
'host': WSSERVER_HOST,
'port': WSSERVER_PORT,
},
'database': database,
'keypair': {
'public': None,

21
tests/test_events.py Normal file
View File

@ -0,0 +1,21 @@
def tests_event_handler():
from bigchaindb.events import (EventTypes, Event, EventHandler,
setup_events_queue)
# create and event
event_data = {'msg': 'some data'}
event = Event(EventTypes.BLOCK_VALID, event_data)
# create the events queue
events_queue = setup_events_queue()
# create event handler
event_handler = EventHandler(events_queue)
# push and event to the queue
event_handler.put_event(event)
# get the event from the queue
event_from_queue = event_handler.get_event()
assert event_from_queue.type == event.type
assert event_from_queue.data == event.data

View File

@ -9,14 +9,16 @@ from bigchaindb.pipelines import vote, block, election, stale
@patch.object(block, 'start')
@patch.object(vote, 'start')
@patch.object(Process, 'start')
def test_processes_start(mock_vote, mock_block, mock_election, mock_stale,
mock_process):
@patch('bigchaindb.events.setup_events_queue', spec_set=True, autospec=True)
def test_processes_start(mock_setup_events_queue, mock_process, mock_vote,
mock_block, mock_election, mock_stale):
from bigchaindb import processes
processes.start()
mock_vote.assert_called_with()
mock_block.assert_called_with()
mock_election.assert_called_with()
mock_stale.assert_called_with()
mock_process.assert_called_with()
mock_election.assert_called_once_with(
events_queue=mock_setup_events_queue.return_value)

View File

@ -1,7 +1,9 @@
import pytest
from unittest.mock import patch
from collections import Counter
from bigchaindb.core import Bigchain
from bigchaindb.exceptions import CriticalDuplicateVote
from bigchaindb.voting import Voting, INVALID, VALID, UNDECIDED
@ -37,24 +39,22 @@ def test_count_votes():
def verify_vote_schema(cls, vote):
return vote['node_pubkey'] != 'malformed'
voters = (['cheat', 'cheat', 'says invalid', 'malformed'] +
voters = (['says invalid', 'malformed'] +
['kosher' + str(i) for i in range(10)])
votes = [Bigchain(v).vote('block', 'a', True) for v in voters]
votes[2]['vote']['is_block_valid'] = False
votes[0]['vote']['is_block_valid'] = False
# Incorrect previous block subtracts from n_valid and adds to n_invalid
votes[-1]['vote']['previous_block'] = 'z'
assert TestVoting.count_votes(votes) == {
by_voter = dict(enumerate(votes))
assert TestVoting.count_votes(by_voter) == {
'counts': {
'n_valid': 9, # 9 kosher votes
'n_invalid': 4, # 1 cheat, 1 invalid, 1 malformed, 1 rogue prev block
# One of the cheat votes counts towards n_invalid, the other is
# not counted here.
# len(cheat) + n_valid + n_invalid == len(votes)
'n_invalid': 3, # 1 invalid, 1 malformed, 1 rogue prev block
},
'cheat': [votes[:2]],
'malformed': [votes[3]],
'malformed': [votes[1]],
'previous_block': 'a',
'other_previous_block': {'z': 1},
}
@ -70,7 +70,8 @@ def test_must_agree_prev_block():
votes = [Bigchain(v).vote('block', 'a', True) for v in voters]
votes[0]['vote']['previous_block'] = 'b'
votes[1]['vote']['previous_block'] = 'c'
assert TestVoting.count_votes(votes) == {
by_voter = dict(enumerate(votes))
assert TestVoting.count_votes(by_voter) == {
'counts': {
'n_valid': 2,
'n_invalid': 2,
@ -78,7 +79,6 @@ def test_must_agree_prev_block():
'previous_block': 'a',
'other_previous_block': {'b': 1, 'c': 1},
'malformed': [],
'cheat': [],
}
@ -230,8 +230,19 @@ def test_block_election(b):
'block_id': 'xyz',
'counts': {'n_valid': 2, 'n_invalid': 0},
'ineligible': [votes[-1]],
'cheat': [],
'malformed': [],
'previous_block': 'a',
'other_previous_block': {},
}
@patch('bigchaindb.voting.Voting.verify_vote_signature', return_value=True)
def test_duplicate_vote_throws_critical_error(b):
keyring = 'abc'
block = {'id': 'xyz', 'block': {'voters': 'ab'}}
votes = [{
'node_pubkey': c,
'vote': {'is_block_valid': True, 'previous_block': 'a'}
} for c in 'aabc']
with pytest.raises(CriticalDuplicateVote):
Voting.block_election(block, votes, keyring)

View File

@ -23,7 +23,7 @@ def test_api_root_endpoint(client):
def test_api_v1_endpoint(client):
res = client.get('/api/v1')
docs_url = ['https://docs.bigchaindb.com/projects/server/en/vtsttst',
'/drivers-clients/http-client-server-api.html',
'/http-client-server-api.html',
]
assert res.json == {
'_links': {
@ -31,5 +31,6 @@ def test_api_v1_endpoint(client):
'self': 'http://localhost/api/v1/',
'statuses': 'http://localhost/api/v1/statuses/',
'transactions': 'http://localhost/api/v1/transactions/',
'streams_v1': 'ws://localhost:9985/api/v1/streams/valid_tx',
}
}

View File

@ -0,0 +1,238 @@
import asyncio
import json
import queue
import random
import threading
import time
from unittest.mock import patch
import pytest
@pytest.fixture
def _block(b, request):
from bigchaindb.models import Transaction
total = getattr(request, 'param', 1)
transactions = [
Transaction.create(
[b.me],
[([b.me], 1)],
metadata={'msg': random.random()},
).sign([b.me_private])
for _ in range(total)
]
return b.create_block(transactions)
class MockWebSocket:
def __init__(self):
self.received = []
def send_str(self, s):
self.received.append(s)
@asyncio.coroutine
def test_bridge_sync_async_queue(loop):
from bigchaindb.web.websocket_server import _multiprocessing_to_asyncio
sync_queue = queue.Queue()
async_queue = asyncio.Queue(loop=loop)
bridge = threading.Thread(target=_multiprocessing_to_asyncio,
args=(sync_queue, async_queue, loop),
daemon=True)
bridge.start()
sync_queue.put('fahren')
sync_queue.put('auf')
sync_queue.put('der')
sync_queue.put('Autobahn')
result = yield from async_queue.get()
assert result == 'fahren'
result = yield from async_queue.get()
assert result == 'auf'
result = yield from async_queue.get()
assert result == 'der'
result = yield from async_queue.get()
assert result == 'Autobahn'
assert async_queue.qsize() == 0
@asyncio.coroutine
def test_put_into_capped_queue(loop):
from bigchaindb.web.websocket_server import _put_into_capped_queue
q = asyncio.Queue(maxsize=2, loop=loop)
_put_into_capped_queue(q, 'Friday')
assert q._queue[0] == 'Friday'
_put_into_capped_queue(q, "I'm")
assert q._queue[0] == 'Friday'
assert q._queue[1] == "I'm"
_put_into_capped_queue(q, 'in')
assert q._queue[0] == "I'm"
assert q._queue[1] == 'in'
_put_into_capped_queue(q, 'love')
assert q._queue[0] == 'in'
assert q._queue[1] == 'love'
@asyncio.coroutine
def test_capped_queue(loop):
from bigchaindb.web.websocket_server import _multiprocessing_to_asyncio
sync_queue = queue.Queue()
async_queue = asyncio.Queue(maxsize=2, loop=loop)
bridge = threading.Thread(target=_multiprocessing_to_asyncio,
args=(sync_queue, async_queue, loop),
daemon=True)
bridge.start()
sync_queue.put('we')
sync_queue.put('are')
sync_queue.put('the')
sync_queue.put('robots')
# Wait until the thread processes all the items
time.sleep(1)
result = yield from async_queue.get()
assert result == 'the'
result = yield from async_queue.get()
assert result == 'robots'
assert async_queue.qsize() == 0
@patch('threading.Thread')
@patch('aiohttp.web.run_app')
@patch('bigchaindb.web.websocket_server.init_app')
@patch('asyncio.get_event_loop', return_value='event-loop')
@patch('asyncio.Queue', return_value='event-queue')
def test_start_creates_an_event_loop(queue_mock, get_event_loop_mock,
init_app_mock, run_app_mock,
thread_mock):
from bigchaindb import config
from bigchaindb.web.websocket_server import start, _multiprocessing_to_asyncio
start(None)
thread_mock.assert_called_once_with(
target=_multiprocessing_to_asyncio,
args=(None, queue_mock.return_value, get_event_loop_mock.return_value),
daemon=True,
)
thread_mock.return_value.start.assert_called_once_with()
init_app_mock.assert_called_with('event-queue', loop='event-loop')
run_app_mock.assert_called_once_with(
init_app_mock.return_value,
host=config['wsserver']['host'],
port=config['wsserver']['port'],
)
@asyncio.coroutine
def test_websocket_string_event(test_client, loop):
from bigchaindb.web.websocket_server import init_app, POISON_PILL, EVENTS_ENDPOINT
event_source = asyncio.Queue(loop=loop)
app = init_app(event_source, loop=loop)
client = yield from test_client(app)
ws = yield from client.ws_connect(EVENTS_ENDPOINT)
yield from event_source.put('hack')
yield from event_source.put('the')
yield from event_source.put('planet!')
result = yield from ws.receive()
assert result.data == 'hack'
result = yield from ws.receive()
assert result.data == 'the'
result = yield from ws.receive()
assert result.data == 'planet!'
yield from event_source.put(POISON_PILL)
@asyncio.coroutine
@pytest.mark.parametrize('_block', (10,), indirect=('_block',), ids=('block',))
def test_websocket_block_event(b, _block, test_client, loop):
from bigchaindb import events
from bigchaindb.web.websocket_server import init_app, POISON_PILL, EVENTS_ENDPOINT
event_source = asyncio.Queue(loop=loop)
app = init_app(event_source, loop=loop)
client = yield from test_client(app)
ws = yield from client.ws_connect(EVENTS_ENDPOINT)
block = _block.to_dict()
block_event = events.Event(events.EventTypes.BLOCK_VALID, block)
yield from event_source.put(block_event)
for tx in block['block']['transactions']:
result = yield from ws.receive()
json_result = json.loads(result.data)
assert json_result['tx_id'] == tx['id']
# Since the transactions are all CREATEs, asset id == transaction id
assert json_result['asset_id'] == tx['id']
assert json_result['block_id'] == block['id']
yield from event_source.put(POISON_PILL)
@pytest.mark.skip('Processes are not stopping properly, and the whole test suite would hang')
@pytest.mark.genesis
def test_integration_from_webapi_to_websocket(monkeypatch, client, loop):
# XXX: I think that the `pytest-aiohttp` plugin is sparkling too much
# magic in the `asyncio` module: running this test without monkey-patching
# `asycio.get_event_loop` (and without the `loop` fixture) raises a:
# RuntimeError: There is no current event loop in thread 'MainThread'.
#
# That's pretty weird because this test doesn't use the pytest-aiohttp
# plugin explicitely.
monkeypatch.setattr('asyncio.get_event_loop', lambda: loop)
import json
import random
import aiohttp
from bigchaindb.common import crypto
from bigchaindb import processes
from bigchaindb.models import Transaction
# Start BigchainDB
processes.start()
loop = asyncio.get_event_loop()
import time
time.sleep(1)
ws_url = client.get('http://localhost:9984/api/v1/').json['_links']['streams_v1']
# Connect to the WebSocket endpoint
session = aiohttp.ClientSession()
ws = loop.run_until_complete(session.ws_connect(ws_url))
# Create a keypair and generate a new asset
user_priv, user_pub = crypto.generate_key_pair()
asset = {'random': random.random()}
tx = Transaction.create([user_pub], [([user_pub], 1)], asset=asset)
tx = tx.sign([user_priv])
# Post the transaction to the BigchainDB Web API
client.post('/api/v1/transactions/', data=json.dumps(tx.to_dict()))
result = loop.run_until_complete(ws.receive())
json_result = json.loads(result.data)
assert json_result['tx_id'] == tx.id