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So we’re running

ZooKeeper. Now What?
Camille Fournier, Rent the Runway
@skamille
Big Data. Big Systems.
• Outages
• Coordination
• Operational Complexity

Common Challenges
• Consistency guarantees

Common Deficiency
Storm uses Zookeeper for coordinating the cluster.
Zookeeper is not used for message passing, so the
load Storm places on Zookeeper is quite low

ZooKeeper in Storm
A centralized service for maintaining
configuration information, naming,
providing distributed synchronization,
and providing group services
•
•
•
•

Distributed, Consistent Data Store
Highly Available
High performance
Strictly ordered access

ZooKeeper
• Tolerates the loss of a minority ((n/2) – 1) of ensemble
members and still function

Highly Available
• All data is stored in memory
• Performance measured around 50,000

operations/second
• Particularly fast for read performance, built for readdominant workloads

High Performance
• Atomic Writes
• In the order you sent them
• Changes always seen in the order they occurred

• Reliable, no writes acked will be dropped

Strictly Ordered Access
leader
cli
cli

follower

follower

cli
cli

cli
cli

Basics: Cluster
Interactions
leader
cli
cli

follower

follower

cli
cli

cli
cli

Basics: Cluster
Interactions
leader
cli
cli

follower

cli
cli

cli
cli

Basics: Cluster
Interactions
cli

/a/b/myNode

/a/b
/a/b/d

/a
/a/c

Data Structure

/a/c/e000001
• Nodes can contain data, have children, or both
• Ephemeral nodes are associated with the session that
created them
• They cannot have children, and disappear when that
session ends
• Sequential nodes have an ever-increasing number
attached to them

Basics: Data Structure
client

leader

getData “/foo” true
client

client

Watches

return “mydata”

follower

follower
client

leader

client

follower

setData “/foo” “bar”
client

Watches

follower
client

leader

NOTIFICATION
client

follower

client

follower

Watches
client

leader

getData “/foo” true
client

client

Watches

return “bar”

follower

follower
• Set against data or path changes
• Ordered with respect to other events, other watches, and
asynchronous replies.
• A client will see a watch event for a node it is watching
before seeing the new data that corresponds to that node.
• The order of watch events corresponds to the order of the
updates as seen by the ZooKeeper service
• One time notifications; must be reset, changes can be
missed between notification and reset of the watch

Basics: Watches
• create
• delete
• setData

Basics: Creation API
• exists
• getData
• getChildren

Basics: Get/Watch API
• multi * new in 3.4
• sync

Basics: API
Service Management
Distributed Locking

Common Uses
• In Storm, ZooKeeper is the source of
communication between Nimbus and
Supervisors
• Nimbus finds Supervisors via ZooKeeper

Coordination
Find servers doing job “Products”
Encode as path in ZooKeeper:
/servers/products
Servers register as ephemeral nodes under this path
with details about location, other connection info

Discovery (Naming)
Read config from nodes
Watch nodes for config changes

Configuration
Shared Locks
Barriers and Latches
Leader Election
Two-Phase Commit

Locking
And Now, The Scary Part
The State Machine
NOPE
• Curator (Java)
• Kazoo (Python)
• Twitter Commons for Discovery

Recommended Clients
ZooKeeper Owns Your Availability

(maybe)

Be Aware
•
•
•
•
•
•

Thank you to @zaa for the format of the slide on watches
Tweet me! @skamille
Email me! camille@apache.org
Kazoo: http://kazoo.readthedocs.org/en/latest/
Curator: http://curator.incubator.apache.org/
Twitter commons: http://twitter.github.io/commons/

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So we're running Apache ZooKeeper. Now What? By Camille Fournier

Notes de l'éditeur

  1. Example of outage…Nodes Goes DownNetwork PartitionsDisk CorruptionCoordination: Task AssignmentOperational Complexity: Finding other cluster membersDynamic ConfigurationGroup Membership
  2. If you use the sync call before a read, ZooKeeper providesilnearizability for sync+read and write operations (this is true withcertain timing assumption made in ZooKeeper for efficiency).