Clustering/HA. Introduction, Helium Capabilities, and Potential Lithium Enhancements.
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1 Clustering/HA Introduction, Helium Capabilities, and Potential Lithium Enhancements
2 Overview Introduction to Clustering Goals Terminology Functionality Helium Clustering Capabilities Potential Lithium Enhancements APP HA Use Cases Design With Clustering in Mind. 2
3 Why Cluster? 1) Fault Tolerance Replicate Data to Allow Recovery in the Event of a Failure 2) Scale Distribute Work Across Set of Available Controllers (Ideally) Keep Data and Execution of Operations on that Data on Same Controller 3
4 What is Needed For Clustering? Form and Maintain a Cluster of Controllers Divide and Replicate Data Among Members Fast & Safe Datastore API Remote Execution Cluster Status and Change Notifications Defined Network Partition Behavior Security 4
5 Discussion Outline 1) Cluster Configuration 2) Datastore Clustering & Sharding 3) Autonomous Data Replication 4) Distributed Execution Akka - Actor System (Framework) - Use Akka-Provided Services and Custom Actors Focus: Clustering Concepts Over Code. 5
6 1) Cluster Configuration Create/Delete Cluster Automatic Member Discovery and Management Track Member Reachability and Availability Cluster-Event Notifications Transport Config & Security Ports Authenticate Members Encrypt Data Exchange Define Cluster Leader For Simplified Team Interaction Other Configuration (Failure Detection Interval, etc.) Akka-Clustering - Define Members + Discovery - Tracks Membership (Failure Detector) - Transport Config (Netty) 6
7 1) Cluster Configuration Helium Static Team Configuration on Startup (akka.conf) Akka-Specific Cluster-Member Event Notifications Local APP Deployment Odd # Node Clusters Lithium (Potential Changes) Programmatic Team Configuration Dynamic Team Formation Generalize Cluster Events Team-Wide APP Deployment (Apache Karaf Clustering?) Even # Node Clusters Team Leader (IP, Role, etc.) Security Not Enabled Member Authentication + Encryption 7
8 LevelDB 2) Datastore Clustering & Sharding Datastore: Define Shard Define Sharding Strategy Transparent Replacement for In-Memory Datastore (Distributed) Transactions Data Change Notifications Persistence (Optional) Scalability Config APP 1 Controller X APP 1 Akka-Persistence Operational - Journaling / Snapshotting - Configurable Plugins (Flat File, LevelDB) 8
9 2) Datastore Clustering & Sharding Helium Static Shard Configuration (module.conf, module-shards.conf) Top-Level Module Sharding Strategy Shard Persistence (enabled/disabled) Single-Shard Transactions Lithium (Potential Changes) Programmatic Shard Configuration Finer-Grain Sharding (APP Defined) Finer-Grain Persistence Control (Node, Subtree, other?) Multi-Shard Transactions 9
10 LevelDB 3) Autonomous Data Replication Automatic Replication of Shards Re-replication on Failures Dynamic Configuration: Replication Level Shard Placement Consistency (R/W) Defined Network Partition Behavior (Quorum vs. Non-Quorum) Config APP 1 Controller Y (Replica) Controller X (Shard Primary) APP 1 Remote RPC Registry Operational Controller Z (Replica) RAFT Consensus - Actor-Based Implementation on Akka 10
11 RAFT Consensus in 60sec Goal: All Members of Cluster Agree on a Variable s Value. (e.g. Content of Operational Datastore Node(s)) 1) Leader Election 2) Data Replication RAFT Elects and Maintains a Leader (Shard) Leader Handles R/W Request and Replicates Data to Other Members ALL Reads/Writes Go Through Shard Leader (Strong Consistency) On Write a Quorum of Nodes Must be Written Before Write Completes Minority (Non-Quorum) Partition Could Continue Operating Reads Not Consistent With Majority Writes Lost When Partition Healed 11
12 3) Autonomous Data Replication Helium Static Shard Placement / Replication Levels (module-shards.conf) Don t Maintain Replication Level on Failure Lithium (Potential Changes) Programmatic Shard Placement and Replication Levels Re-replicate to Maintain Configuration (config & team-size permitting) Special Replication Levels (Full, Quorum) Strong Consistency (R/W Through Leader Only) Any Shard Can Be Elected Leader Suspend on Non-Quorum Network Partition Adjustable R/W Consistency (Per Query?, Shard?) Influence Shard Leader Election (Cluster Load Balancing) Support (R, W, R/W) on Non-Quorum & Merge on Network Heal? 12
13 4) Distributed Execution Location Transparency For RPCs Automatic Routing Remote RPC Registry Updates Execute Operation on Data Owner Akka-Remoting - Location Independence - Remote RPC Registry (Custom Actors) 13
14 4) Distributed Execution Helium Static Remote RPC Registry Update Interval (Gossip) Lithium (Potential Changes) Programmable Update Interval 14
15 APP HA Use Cases High-Availability Modes of Operation: 1) Active-Active 2) Active-Passive (aka Active-Standby) 15
16 Discussion / Q&A 16
17 Resources ODL Clustering DOCs: General Design Detailed Design Feature Summary RAFT Consensus Akka Contacts: Moiz Raja Raghurama Bhat Harman Singh Mark Mozolewski 17
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