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Hadoop 1.x vs 2

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Rommel Garcia
Rommel Garcia

There's a big shift in both at the architecture and api level from Hadoop 1 vs Hadoop 2, particularly YARN and we had our first meetup to talk about this (http://www.meetup.com/Atlanta-YARN-User-Group/) on 10/13/2013.

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Hadoop 1.x vs Hadoop 2 Rommel Garcia Solutions Engineer - Big Data Hortonworks
Transition To Big Data Relational Dimensional (EDW) Big Data
Data Explosion
3 Design Dimensions
Key Hadoop Data Types Sentiment Clickstream Sensor/Machine Geographic Server Logs Text
Hadoop is NOT ESB NoSQL HPC Relational Real-time The “Jack of all Trades”
Hadoop 1 Limited up to 4,000 nodes per cluster O(# of tasks in a cluster) JobTracker bottleneck - resource management, job scheduling and monitoring Only has one namespace for managing HDFS Map and Reduce slots are static Only job to run is MapReduce
Hadoop 1 - Basics BBBB CCCC AAAA AAAA AAAA AAAA BBBB CCCC CCCC BBBB MapReduce (Computation Framework) HDFS (Storage Framework)
Hadoop 1 - Reading Files Rack1 Rack2 Rack3 RackN read file (fsimage/edit) Hadoop Client NameNode SNameNode return DNs, block ids, etc. DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT checkpoint heartbeat/ block reportread blocks
Hadoop 1 - Writing Files Rack1 Rack2 Rack3 RackN request write (fsimage/edit) Hadoop Client NameNode SNameNode return DNs, etc. DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT checkpoint block report write blocks replication pipelining
Hadoop 1 - Running Jobs Rack1 Rack2 Rack3 RackN Hadoop Client JobTracker DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT submit job deploy job part 0part 0part 0part 0 map reduce shuffle
Hadoop 1 - Security UsersUsersUsersUsers FF II RR EE WW AA LL LL LDAP/AD Client Node/ Spoke Server KDC Hadoop Cluster authN/authZ service request block token delegate token * block token is for accessing data * delegate token is for running jobs Encryption PluginEncryption Plugin
Hadoop 1 - APIs org.apache.hadoop.mapreduce.Partitioner org.apache.hadoop.mapreduce.Mapper org.apache.hadoop.mapreduce.Reducer org.apache.hadoop.mapreduce.Job
Hadoop 2 Potentially up to 10,000 nodes per cluster O(cluster size) Supports multiple namespace for managing HDFS Efficient cluster utilization (YARN) MRv1 backward and forward compatible Any apps can integrate with Hadoop Beyond Java
Hadoop 2 - Basics
Hadoop 2 - Reading Files (w/ NN Federation) (w/ NN Federation) Rack1 Rack2 Rack3 RackN read file fsimage/edit copy Hadoop Client NN1/ns1 SNameNode per NN return DNs, block ids, etc. DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM checkpoint register/ heartbeat/ block report read blocks fs sync Backup NN per NN checkpoint NN2/ns2 NN3/ns3 NN4/ns4 or ns1 ns2 ns3 ns4 dn1, dn2 dn1, dn3 dn4, dn5 dn4, dn5 Block Pools
Hadoop 2 - Writing Files Rack1 Rack2 Rack3 RackN request write Hadoop Client return DNs, etc. DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM write blocks replication pipelining fsimage/edit copy NN1/ns1 SNameNode per NN checkpoint block report fs sync Backup NN per NN checkpoint NN2/ns2 NN3/ns3 NN4/ns4 or
Hadoop 2 - Running Jobs RackN NodeManager NodeManager NodeManager Rack2 NodeManager NodeManager NodeManager Rack1 NodeManager NodeManager NodeManager C2.1 C1.4 AM2 C2.2 C2.3 AM1 C1.3 C1.2 C1.1 Hadoop Client 1 Hadoop Client 2 create app2 submit app1 submit app2 create app1 ASM Scheduler queues ASM Containers NM ASM Scheduler Resources .......negotiates....... .......reports to....... .......partitions....... ResourceManager status report
Hadoop 2 - Security FF II RR EE WW AA LL LL LDAP/AD Knox Gateway Cluster KDC Hadoop Cluster Enterprise/ Cloud SSO Provider JDBC ClientJDBC Client REST ClientREST Client FF II RR EE WW AA LL LL DMZ Browser(HUE)Browser(HUE) Native Hive/HBase EncryptionNative Hive/HBase Encryption
Hadoop 2 - APIs org.apache.hadoop.yarn.api.ApplicationClientProtocol org.apache.hadoop.yarn.api.ApplicationMasterProtocol org.apache.hadoop.yarn.api.ContainerManagementProtoc ol
Resources http://hortonworks.com/products/hortonworks-sandbox/ http://hortonworks.com/products/hdp-2/ http://hortonworks.com/resources/ http://hadoopsummit.org/san-jose/
Hadoop Summit 2014
Thank you! www.linkedin.com/in/rommelgarcia twitter.com/rommelgarcia rgarcia@hortonworks.com Hortonworks

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Hadoop 1.x vs 2

  • 1. Hadoop 1.x vs Hadoop 2 Rommel Garcia Solutions Engineer - Big Data Hortonworks
  • 2. Transition To Big Data Relational Dimensional (EDW) Big Data
  • 5. Key Hadoop Data Types Sentiment Clickstream Sensor/Machine Geographic Server Logs Text
  • 7. Hadoop 1 Limited up to 4,000 nodes per cluster O(# of tasks in a cluster) JobTracker bottleneck - resource management, job scheduling and monitoring Only has one namespace for managing HDFS Map and Reduce slots are static Only job to run is MapReduce
  • 8. Hadoop 1 - Basics BBBB CCCC AAAA AAAA AAAA AAAA BBBB CCCC CCCC BBBB MapReduce (Computation Framework) HDFS (Storage Framework)
  • 9. Hadoop 1 - Reading Files Rack1 Rack2 Rack3 RackN read file (fsimage/edit) Hadoop Client NameNode SNameNode return DNs, block ids, etc. DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT checkpoint heartbeat/ block reportread blocks
  • 10. Hadoop 1 - Writing Files Rack1 Rack2 Rack3 RackN request write (fsimage/edit) Hadoop Client NameNode SNameNode return DNs, etc. DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT checkpoint block report write blocks replication pipelining
  • 11. Hadoop 1 - Running Jobs Rack1 Rack2 Rack3 RackN Hadoop Client JobTracker DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT DN | TT submit job deploy job part 0part 0part 0part 0 map reduce shuffle
  • 12. Hadoop 1 - Security UsersUsersUsersUsers FF II RR EE WW AA LL LL LDAP/AD Client Node/ Spoke Server KDC Hadoop Cluster authN/authZ service request block token delegate token * block token is for accessing data * delegate token is for running jobs Encryption PluginEncryption Plugin
  • 13. Hadoop 1 - APIs org.apache.hadoop.mapreduce.Partitioner org.apache.hadoop.mapreduce.Mapper org.apache.hadoop.mapreduce.Reducer org.apache.hadoop.mapreduce.Job
  • 14. Hadoop 2 Potentially up to 10,000 nodes per cluster O(cluster size) Supports multiple namespace for managing HDFS Efficient cluster utilization (YARN) MRv1 backward and forward compatible Any apps can integrate with Hadoop Beyond Java
  • 15. Hadoop 2 - Basics
  • 16. Hadoop 2 - Reading Files (w/ NN Federation) (w/ NN Federation) Rack1 Rack2 Rack3 RackN read file fsimage/edit copy Hadoop Client NN1/ns1 SNameNode per NN return DNs, block ids, etc. DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM checkpoint register/ heartbeat/ block report read blocks fs sync Backup NN per NN checkpoint NN2/ns2 NN3/ns3 NN4/ns4 or ns1 ns2 ns3 ns4 dn1, dn2 dn1, dn3 dn4, dn5 dn4, dn5 Block Pools
  • 17. Hadoop 2 - Writing Files Rack1 Rack2 Rack3 RackN request write Hadoop Client return DNs, etc. DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM DN | NM write blocks replication pipelining fsimage/edit copy NN1/ns1 SNameNode per NN checkpoint block report fs sync Backup NN per NN checkpoint NN2/ns2 NN3/ns3 NN4/ns4 or
  • 18. Hadoop 2 - Running Jobs RackN NodeManager NodeManager NodeManager Rack2 NodeManager NodeManager NodeManager Rack1 NodeManager NodeManager NodeManager C2.1 C1.4 AM2 C2.2 C2.3 AM1 C1.3 C1.2 C1.1 Hadoop Client 1 Hadoop Client 2 create app2 submit app1 submit app2 create app1 ASM Scheduler queues ASM Containers NM ASM Scheduler Resources .......negotiates....... .......reports to....... .......partitions....... ResourceManager status report
  • 19. Hadoop 2 - Security FF II RR EE WW AA LL LL LDAP/AD Knox Gateway Cluster KDC Hadoop Cluster Enterprise/ Cloud SSO Provider JDBC ClientJDBC Client REST ClientREST Client FF II RR EE WW AA LL LL DMZ Browser(HUE)Browser(HUE) Native Hive/HBase EncryptionNative Hive/HBase Encryption
  • 20. Hadoop 2 - APIs org.apache.hadoop.yarn.api.ApplicationClientProtocol org.apache.hadoop.yarn.api.ApplicationMasterProtocol org.apache.hadoop.yarn.api.ContainerManagementProtoc ol