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© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop  Present  –  Open  Enterprise  Hadoop
Yifeng  Jiang
Solutions  ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
自己紹介
蒋  逸峰  (Yifeng  Jiang)
•  Solutions  Engineer  @  Hortonworks  Ja...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Ageda
•  Hadoop  Core  Updates
•  Data  Access  in  Hadoop
•  Hadoop  ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop Present
Enterprise Ready Hadoop
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoopコミュニティのアクティビティ
Number  of  Issues  Resolved Number  of  Line  of...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Open  Leadership
Code  Contributed  in  2014  by  Organization
Hortonw...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
専門家集団: 開発に深く携わるコア・メンバーにより構成
沿革
2011年6月:
Yahoo! で初代の Hadoop 開発を手がけたアーキテ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Data Platform 2.2 Stack
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop Core
HDFS + YARN: Data Operating System
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS
Scalable & Efficient Data Lake Storage
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS: more Efficient Data Lake Storage
•  HDFS  NFS  Gateway
–  Mount ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Storage Growth Challenges
• Some cluster storage need grows very fast
...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Archival Storage Scenario
Data Usage
Hot - Less than 7 days with very ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Archival Storage for Cost Efficiency
Scale Storage independently from ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS Storage Architecture - Before
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS Storage Architecture - Now
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Storage Policy: SSD & Hot
SSD
SSD
SSD
SSD
SSD
SSD
SSD
SSD
SSD
DISK
DIS...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Storage  Policy:  実際にやってみる
Ambariにて、HDFS  Configuration  Groups  作成
•  ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Storage Policyを設定してみる
$ hdfs dfs -mkdir /hbase

$ hdfs dfsadmin -setSt...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS: Next Step
•  Erasure  Code  GA
•  Ozone:  an  object  store  in ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
YARN
Extends Hadoop into Data OS
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Recap: What’s YARN
Cluster Resource Management
•  Resource sharing
–  ...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Storm Storm
StormStorm
Exclusive Node Labels enable Isolated Partition...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Spark Spark
SparkSpark
Non-Exclusive Node Labels
S
App
Spark
Configure...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Working with Labels
Ambari YARN Guided Configuration: Enable node labe...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
YARN: Next Step
Disk & network isolation
•  Just isolation – enforce e...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Data Access Innovation
SQL, Spark, Stream Processing, Search
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hive:  Enterprise  SQL  at  Hadoop  Scale
Native transactions
•  Deliv...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hive: Next Step
SQL Enhancement
•  Transactions: BEGIN, COMMIT, ROLLBA...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Spark Features – HDP 2.3.x & Spark 1.3.1
Supported
•  Spark Core
•  ML...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Resource Management
YARN for multi-tenant, diverse workloads with pred...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Ease of Use
Apache Zeppelin for interactive notebooks
Metadata & Gover...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Platform Innovation for Data Access
An integrated scalable platform
fo...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Security
End to End Security in Hadoop
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Five Security Requirements
Authentication
Kerberos
Authorization Audit...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDFS
Fully Secure Flow –End to End Security
HiveServer 2
A B C
KDC
Use...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Ranger:  Central Security Administration
37
•  Table/column
access con...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop Management
Ambari: Hadoop for Everyone, 100% Open Source
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
What’s Apache Ambari?
100% open source
operational platform to
provisi...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Apache Ambari Mission
Easy	
  opera,on	
  at	
  
scale	
  
Large	
  sc...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Ambari 2.1 HDP Stack High Availability
HDP Stack Mode Ambari 2.0 Ambar...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Install Wizard
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Guided Configs for HDFS
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Guided Configs for YARN & MapReduce
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Enable Features in YARN
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Cluster Dashboard
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Service Dashboard
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Service Manage - HDFS
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Host Manage
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Monitor & Alert
Email
SNMP
Notifications
Script new
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
User Views – HDFS File View
Files View
Browse HDFS file system.
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
User Views – YARN CS, Tez
Capacity Scheduler View
Browse + manage YARN...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
User Views – Pig, Hive
Pig View
Author and execute Pig
Scripts.
Hive V...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Summary
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Open  Enterprise  Hadoop
Hadoop/YARN-powered data operating system
100...
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Thank  you
Yifeng  Jiang,  Solutions  Engineer,  Hortonworks
@uprush
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Hadoop Present - Open Enterprise Hadoop

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Hadoop current status overview, what is Open Enterprise Hadoop.

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Hadoop Present - Open Enterprise Hadoop

  1. 1. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop  Present  –  Open  Enterprise  Hadoop Yifeng  Jiang Solutions  Engineer,  Hortonworks,  inc. July  26,  2015  
  2. 2. © Hortonworks Inc. 2011 – 2015. All Rights Reserved 自己紹介 蒋  逸峰  (Yifeng  Jiang) •  Solutions  Engineer  @  Hortonworks  Japan •  HBase  book  author •  ⽇日本に来て10年年経ちました… •  趣味は⼭山登り •  Twitter:  @uprush
  3. 3. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Ageda •  Hadoop  Core  Updates •  Data  Access  in  Hadoop •  Hadoop  Security •  Hadoop  Management
  4. 4. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop Present Enterprise Ready Hadoop
  5. 5. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoopコミュニティのアクティビティ Number  of  Issues  Resolved Number  of  Line  of  Code  Increased http://ajisakaa.blogspot.jp
  6. 6. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Open  Leadership Code  Contributed  in  2014  by  Organization Hortonworks
  7. 7. © Hortonworks Inc. 2011 – 2015. All Rights Reserved 専門家集団: 開発に深く携わるコア・メンバーにより構成 沿革 2011年6月: Yahoo! で初代の Hadoop 開発を手がけたアーキテクト、デベロッパー、 オペレータ 24名によって創立 2014年12月: 社員数600を超えるHadoopの専門家集団に成長 Apache Project Committers PMC Members Hadoop 27 21 Pig 5 5 Hive 18 6 Tez 16 15 HBase 6 4 Phoenix 4 4 Accumulo 2 2 Storm 3 2 Slider 11 11 Falcon 5 3 Flume 1 1 Sqoop 1 1 Ambari 36 28 Oozie 3 2 Zookeeper 2 1 Knox 13 3 Ranger 11 n/a TOTAL 164 109
  8. 8. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hortonworks Data Platform 2.2 Stack
  9. 9. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop Core HDFS + YARN: Data Operating System
  10. 10. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS Scalable & Efficient Data Lake Storage
  11. 11. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS: more Efficient Data Lake Storage •  HDFS  NFS  Gateway –  Mount  HDFS  path •  Erasure  Coding  (under  dev) –  Reduce  storage  cost  from  3x  to  1.4x •  Tiered  Storage –  DataNode  becomes  collection  of  tiered  storages –  DISK,  SSD,  RAM,  ARCHIVAL
  12. 12. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Storage Growth Challenges • Some cluster storage need grows very fast – High volumes of data – More users and new use cases to Hadoop • Only way to grow storage is add more nodes Page 12Architecting the Future of Big Data Cluster Storage and Compute Capacity Cluster Storage Utilization Compute Utilization
  13. 13. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Archival Storage Scenario Data Usage Hot - Less than 7 days with very high usage Warm – Less than 1 month and used ~20 times per month Cold – Less than 3 months and used 5 times per month Frozen - 3 months to 7 years and used approximately 2 times per year Ebay 0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 0 10 20 30 40 50 60 70 80 Temperature of Data Hadoop   TIME (Data Age) FrequencyofDataUsage(perMonth) Cold Data Hot Data Warm Data Cold Data
  14. 14. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Archival Storage for Cost Efficiency Scale Storage independently from Compute. Archival Storage Tier •  Deploy storage dense hardware nodes •  Utilize storage policies for datasets: •  Hot, Warm, Cold •  Achieve ~4x lower price point per GB Cluster Storage Capacity Cluster Storage Utilization Compute Utilization Cluster Compute Capacity
  15. 15. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS Storage Architecture - Before
  16. 16. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS Storage Architecture - Now
  17. 17. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Storage Policy: SSD & Hot SSD SSD SSD SSD SSD SSD SSD SSD SSD DISK DISK DISK DISK DISK DISK HDP Cluster A DISK DISK DISK A A SSD All replicas on SSDDataSet A (e.g., HBase) Hot All replicas on DISK DataSet B (others) B B B I2.8x I2.8x I2.8x d2.8x d2.8x d2.8x
  18. 18. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Storage  Policy:  実際にやってみる Ambariにて、HDFS  Configuration  Groups  作成 •  I2⽤用グループ •  D2⽤用グループ Ambariにて、GroupsごとにDataNodeストレージタイプ、パスを定義 dfs.datanode.data.dir を下記に設定 •  I2  group:  [SSD]/hadoop/hdfs/data1,[SSD]/hadoop/hdfs/data2,… •  D2  group:  [DISK]/hadoop/hdfs/data1,[DISK]/hadoop/hdfs/data2,… HDFS再起動
  19. 19. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Storage Policyを設定してみる $ hdfs dfs -mkdir /hbase $ hdfs dfsadmin -setStoragePolicy /hbase ALL_SSD Set storage policy ALL_SSD on /hbase $ hdfs dfsadmin -getStoragePolicy /ssd The storage policy of /ssd: BlockStoragePolicy{ALL_SSD:12, storageTypes=[SSD], creationFallbacks=[DISK], replicationFallbacks=[DISK]} HBaseのデータをすべてSSD(i2)に保存 •  /hbase  配下を  ALL_̲SSD  に設定
  20. 20. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS: Next Step •  Erasure  Code  GA •  Ozone:  an  object  store  in  HDFS HDFS-7285 HDFS-7240
  21. 21. © Hortonworks Inc. 2011 – 2015. All Rights Reserved YARN Extends Hadoop into Data OS
  22. 22. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Recap: What’s YARN Cluster Resource Management •  Resource sharing –  Capacity scheduler –  Fair Sharing: pluggable queue policies new •  Isolation –  Memory, CPU –  Node labels new •  Workload types –  Batch, interactive, in-memory
  23. 23. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Storm Storm StormStorm Exclusive Node Labels enable Isolated Partitions S App Storm Configure Partitions Storm B App Exclusive Labels enforce Isolation S S nodes labels S S HDP 2.2
  24. 24. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Spark Spark SparkSpark Non-Exclusive Node Labels S App Spark Configure non- exclusive labels Spark B App Schedule if free capacity S S nodes labels S S B YARN-3214 HDP 2.3
  25. 25. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Working with Labels Ambari YARN Guided Configuration: Enable node labels YARN CLI: Create and assign labels ResourceManager UI: View Node Labels in Cluster Capacity Scheduler View: Define workload management policy with labels $ yarn rmadmin -addToClusterNodeLabels ”spark(exclusive=false)” $ yarn cluster -list-node-labels $ yarn rmadmin -replaceLabelsOnNode ”node5=spark”
  26. 26. © Hortonworks Inc. 2011 – 2015. All Rights Reserved YARN: Next Step Disk & network isolation •  Just isolation – enforce equal sharing of Disk and Network I/O across containers running on node •  Current in technical preview of HDP 2.3 •  Disk resource: Local Disk Iops… not HDFS read/writes •  Network resource: Outbound only bandwidth (mbits/sec) YARN-2619 YARN-2140
  27. 27. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Data Access Innovation SQL, Spark, Stream Processing, Search
  28. 28. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hive:  Enterprise  SQL  at  Hadoop  Scale Native transactions •  Delivered: Insert, Update, Delete Performance: 100x faster •  ORC File •  Hive on Tez •  Cost Based Optimizer •  Vertorized SQL engine 28
  29. 29. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hive: Next Step SQL Enhancement •  Transactions: BEGIN, COMMIT, ROLLBACK •  SQL 2011 Analytics Performance •  Sub-second response: LLAP, HBase as metastore, etc. Apache  Hiveの今とこれから
  30. 30. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Spark Features – HDP 2.3.x & Spark 1.3.1 Supported •  Spark Core •  MLlib •  Spark on YARN •  Kerberos •  Ambari support Tech Preview •  SparkSQL* •  Spark Streaming •  DataFrame •  Spark ML Pipeline API Unsupported •  GraphX •  BlinkDB •  Spark Standalone/ Mesos
  31. 31. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Resource Management YARN for multi-tenant, diverse workloads with predictable SLAs Tiered Memory Storage HDFS in-memory tier – External BlockStore for RDD Cache SparkSQL & Hive for SQL Interop with modern Metastore/HS2, optimized ORC support, advanced analytics e.g. Geospatial Spark & NoSQL Deep integration with HBase via DataSources/Catalyst for Predicate/Aggregate Pushdown Connect The Dots – Algorithms to Use-Cases Higher-level ML Abstractions – E.g. OneVsRest Validation, tuning, pipeline assembly... e.g. GeoSpatial Spark and Hadoop – How Can We Do Better? Storage YARN: Data Operating System Governance Security Operations Resource Management
  32. 32. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Ease of Use Apache Zeppelin for interactive notebooks Metadata & Governance Apache Atlas for metadata & Apache Falcon support for Spark pipelines Security & Operations Apache Ranger managed authorization and deployment/ management via Apache Ambari Deployable Anywhere Linux, Windows, on-premises or cloud Self-Service Spark in the Cloud Easy launch of Data Science clusters via Cloudbreak and Ambari – for Azure, AWS, GCP, OpenStack, Docker Spark and Hadoop – How Can We Do Better? Storage YARN: Data Operating System Governance Security Operations Resource Management
  33. 33. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Platform Innovation for Data Access An integrated scalable platform for data access powered by HDP •  Limitless storage •  Deep analytics •  Real-time access
  34. 34. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Security End to End Security in Hadoop
  35. 35. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Five Security Requirements Authentication Kerberos Authorization Audit Encryption HDP  2.3 Security  support RANGER HDFS Hadoop  Security   Overview
  36. 36. © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDFS Fully Secure Flow –End to End Security HiveServer 2 A B C KDC Use Hive ST, submit query Hive gets Namenode (NN) service ticket 6.Hive creates map reduce using NN ST Ranger 3.Knox gets service ticket for Hive 4.Knox calls as proxy user 1.Original request w/user id/password Client gets query result SSL O/JDBC Client SSL SASL SSL SSL SSL LDAP 2.Knox Authenticates user/pass Ranger Sync users/groups from LDAP 5. Ranger AuthZ Apache Knox Apache Knox
  37. 37. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Ranger:  Central Security Administration 37 •  Table/column access control •  Audit logging •  Flexible definition Control group/ user permissions
  38. 38. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop Management Ambari: Hadoop for Everyone, 100% Open Source
  39. 39. © Hortonworks Inc. 2011 – 2015. All Rights Reserved What’s Apache Ambari? 100% open source operational platform to provision, manage and monitor Hadoop clusters
  40. 40. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Apache Ambari Mission Easy  opera,on  at   scale   Large  scale  cluster  install,  manage  and  monitor   Efficient  and  scale  at  scale   Easy  to  extend  with   community   Innovate  with  community   Integrate  with  enterprise  so:ware   Accelerate  new  feature  and  adop=on   Centralized   management  for   the  whole  Hadoop   stack     Access  point  for  all  Hadoop  users,  not  just  cluster  management   Easy  of  use  
  41. 41. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Ambari 2.1 HDP Stack High Availability HDP Stack Mode Ambari 2.0 Ambari 2.1 HDFS: NameNode HDP 2.0+ Active/ Standby YARN: ResourceManager HDP 2.1+ Active/ Standby HBase: HBaseMaster HDP 2.1+ Multi-master Hive: HiveServer2 HDP 2.1+ Multi-instance Hive: Hive Metastore HDP 2.1+ Multi-instance Hive: WebHCat Server HDP 2.1+ Multi-instance Oozie: Oozie Server HDP 2.1+ Multi-instance Storm: Nimbus Server HDP 2.3 Multi-instance Ranger: AdminServer HDP 2.3 Multi-instance
  42. 42. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Install Wizard
  43. 43. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Guided Configs for HDFS
  44. 44. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Guided Configs for YARN & MapReduce
  45. 45. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Enable Features in YARN
  46. 46. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Cluster Dashboard
  47. 47. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Service Dashboard
  48. 48. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Service Manage - HDFS
  49. 49. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Host Manage
  50. 50. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Monitor & Alert Email SNMP Notifications Script new
  51. 51. © Hortonworks Inc. 2011 – 2015. All Rights Reserved User Views – HDFS File View Files View Browse HDFS file system.
  52. 52. © Hortonworks Inc. 2011 – 2015. All Rights Reserved User Views – YARN CS, Tez Capacity Scheduler View Browse + manage YARN queues Tez View View information related to Tez jobs that are executing on the cluster.
  53. 53. © Hortonworks Inc. 2011 – 2015. All Rights Reserved User Views – Pig, Hive Pig View Author and execute Pig Scripts. Hive View Author, execute and debug Hive queries.
  54. 54. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Summary
  55. 55. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Open  Enterprise  Hadoop Hadoop/YARN-powered data operating system 100% open source, multi-tenant data platform for any application, any data set, anywhere. Built on a centralized architecture of shared enterprise services •  Scalable  tiered  storage •  Resource  and  workload  management •  Trusted  data  governance  &  metadata  management •  Consistent  operations •  Comprehensive  security •  Developer  APIs  and  tools YARN: data operating system Governance Security Operations Resource management Data access: batch, interactive, real-time Storage Commodity Appliance Cloud
  56. 56. © Hortonworks Inc. 2011 – 2015. All Rights Reserved Thank  you Yifeng  Jiang,  Solutions  Engineer,  Hortonworks @uprush

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