Presented by: Jeremy Carroll, Pinterest

1. Operations
Jeremy Carroll
Operations Engineer
HBaseCon 2013

2. We help people discover things they love
and inspire them to do those things…

3. HBase in Production
Overview
• All running on Amazon Web Services
• 5 production clusters and growing
• Mix SSD and SATA clusters
• Billions of page views per month

4. With lots of patches
Designing for EC2
• CDH 4.2.x
• HDFS-3912
• HBase 0.94.7
• HBASE-8284
• One zone per cluster / no rack locality
• RegionServers - Ephemeral disk only
• Redundant clusters for availability
• HDFS-4721 • HDFS-3703 • HDFS-9503
• HBASE-8389• HBASE-8434 • HBASE-7878

5. Configuration
Cluster Setup
• Managed splitting w/pre split tables
• Bloom filters for pretty much everything
• Manual / Rolling major compactions
• Reverse DNS on EC2
• 3 ZooKeepers in quorum
• 1 NameNode / Sec-NameNode / Master
• 1 EBS volume for fsImage / 1 Elastic IP
• 10-50 nodes per cluster

6. Fact-driven “Fry” method using Puppet
Provisioning
• User-data passed in to drive config management
• Repackaged modifications to HDFS / HBase
• Ubuntu .deb packages created with FPM
• Synced to S3, nodes configured with s3-apt plugin
• Mount + format ephemerals on boot
• Ext4 / nodiratime / nodealloc / lazy_itable_init

7. ---- HBASE MODULE ----
class { 'hbase':
cluster => 'feeds_e',
namenode => 'ec2-xxx-xxx-xxx-xxx.compute-1.amazonaws.com',
zookeeper_quorum => 'zk1,zk2,zk3',
hbase_site_opts => {
'hbase.replication' => true,
'hbase.snapshot.enabled' => true,
'hbase.snapshot.region.timeout' => '35000',
'replication.sink.client.ops.timeout' => '20000',
'replication.sink.client.retries.number' => '3',
'replication.source.size.capacity' => '4194304',
'replication.source.nb.capacity' => '100',
...
}
}
---- FACT BASED VARIABLES ----
$hbase_heap_size = $ec2_instance_type ? {
'hi1.4xlarge' => '24000',
'm2.2xlarge' => '24000',
'm2.xlarge' => '11480',
'm1.xlarge' => '11480',
'm1.large' => '6500',
...
}
Puppet Module

8. Designed for EC2
Service Monitoring
• Wounded (dying) vs Operational
• High value metrics first
• Overall health
• Alive / dead nodes
• Service up/down
• Fsck / Blocks / % Space
• Replication status
• Regions needing splits
• fsImage checkpoint
• Zookeeper quorum
• Synthetic transactions (get / put)
• Queues (flush / compaction / rpc)
• Latency (client / filesystem)

9. Designed for EC2
Service Monitoring

10. Instrumentation
Metrics
• OpenTSDB for high cardinality metrics
• Per region stats collection
• tCollector
• RegionServer HTTP JMX
• HBase REST
• GangliaContext for hadoop-metrics

11. OpenTSDB
Table RegionServer Region
Slicing and Dicing

12. Using R
Tables
Regions
StoreFiles

13. Tuning Performance
Compaction
+Logs

14. Operational Intelligence
Dashboards

15. S3 + HBase Snapshots
Backups
• Full NameNode backup every 60 mins
• EBS Volume as an name.dir for crash recovery
• HBase snapshots + ExportSnapShot

16. Additional Tuning
Solid State Clusters
• Lower block size down from 32k
• Something a lot smaller. 8-16k
• Placement groups for 10Gb networking
• Increase DFSBandwidthPerSec
• Kernel tuning for TCP
• Compaction threads
• Disk elevator to noop

17. Process
Planning for Launch
• Pyres queue asynchronous reads / writes
• Allows for tuning a system before it goes live
• Tuning
• Schema
• Hot spots
• Compaction
• Canary roll out to new users
• 10% -> 30% -> 80% -> 100%

18. Pssstt. We’re hiring