Operate HBase clusters at Scale

Presented by Florentin Dubois & Kevin Georges at SysadminDays #8 (https://sysadmindays.fr)

Transcript

1. Operate HBase clusters at scale with a monitoring goal 1 </> by Metrics with
2. @sysadmindays @ovh 2 Kevin Georges Engineering manager @0xd33d33
3. @sysadmindays @ovh 3 Florentin Dubois Software engineer @FlorentinDUBOIS
4. @sysadmindays @ovh 4 OVHcloud
5. @sysadmindays @ovh 5 OVH
6. @sysadmindays @ovh 6 OVH Presience
7. What are we doing? 7
8. @sysadmindays @ovh 8 Metrics Data Platform
9. @sysadmindays @ovh 9 Metrics Data Platform 432.000.000.000 data points / jour
10. @sysadmindays @ovh 10 Metrics Data Platform 10 To / j
11. @sysadmindays @ovh 11 Metrics Data Platform 5.000.000 dp/s
12. @sysadmindays @ovh 12 Metrics Data Platform 500.000.000 series
13. Our Infrastructure 13
14. @sysadmindays @ovh 14 2 regions
15. @sysadmindays @ovh 15 Our clusters size BHS: • 30 nodes • 400 TB • 120 Mbps GRA: • 150 nodes • 2 PB • 1.1 Gbps
16. @sysadmindays @ovh 16 Warp 10
17. @sysadmindays @ovh 17 Warp 10 on top of HBase
18. Warp10 Egress Warp10 Directory Warp10 Store @sysadmindays @ovh 18 Our cluster architecture Region server + Datanode Region server + Datanode Region server + Datanode Region server + Datanode Warp10 Ingress Warp10 Store Kafka Warp10 Directory Warp10 Egress
19. @sysadmindays @ovh 19 Our real cluster architecture
20. @sysadmindays @ovh 20 Manage multiple hardware configurations
21. @sysadmindays @ovh 21 Hardware pitfalls Be sure how much controlers matches the number of disk & sata ports Be sure that your network link can handle your disk IO capacity Be sure of threads distributions, (IRQ, NUMA surprises,ingest+processing+gc+...)
22. What’s Apache HBase? 22
23. @sysadmindays @ovh 23 What’s Apache HBase? #KeyValue
24. @sysadmindays @ovh 24 What’s Apache HBase? #SortedColumnStor e
25. @sysadmindays @ovh 25 What’s Apache HBase? #ColumnStore
26. @sysadmindays @ovh 26 What’s Apache HBase? #ColumnStore
27. @sysadmindays @ovh 27 What’s Apache HBase? #Columnar?
28. @sysadmindays @ovh 28 What’s Apache HBase? #ColumnStore
29. @sysadmindays @ovh 29 What’s Apache HBase? #ColumnStore
30. @sysadmindays @ovh 30 What’s Apache HBase? #ColumnStore
31. Use cases 31
32. @sysadmindays @ovh 32 Use cases families • Billing ……………………………………...……….... (e.g. bill on maximum consumption in a month) • Monitoring …………………………………………….…………………... (APM, infrastructure,appliances,...) • IoT ………………………………………………………….……………….... (Manage devices, operator integration, ...) • Geo Location …………………………………………………………………...………………... (manage localized fleets)
33. @sysadmindays @ovh 33 Use cases • DC Temperature/Elec/Cooling map • Pay as you go billing (PCI/IPLB) • GSCAN • Monitoring • ML Model scoring (Anti-Fraude) • Pattern Detection for medical applications
34. Detect errors 34
35. @sysadmindays @ovh 35 Extract errors from logs
36. @sysadmindays @ovh 36 Tailor Forward logs and extract metrics!
37. @sysadmindays @ovh 37 Monitoring JVM
38. @sysadmindays @ovh 38 Documentation
39. JVM GC The good, the bad and the ugly 39
40. @sysadmindays @ovh 40 The good
41. @sysadmindays @ovh 41 The bad
42. @sysadmindays @ovh 42 … and the ugly #java #jdk11 #zgc
43. @sysadmindays @ovh 43 Monitoring HBase
44. @sysadmindays @ovh 44 Number of open regions
45. @sysadmindays @ovh 45 Queues length
46. @sysadmindays @ovh 46 Number of read and write requests
47. @sysadmindays @ovh 47 Preserve data locality
48. @sysadmindays @ovh 48 Host health
49. Pokédex 49 Inventory all animals.
50. @sysadmindays @ovh 50 Merging all data sources
51. @sysadmindays @ovh 51 Global visualization
52. @sysadmindays @ovh 52 Correlate information
53. Sacha 53 The best tamer!
54. @sysadmindays @ovh 54 An awesome command line tool
55. @sysadmindays @ovh 55 Retrieving bare informations
56. @sysadmindays @ovh 56 Create region map
57. @sysadmindays @ovh 57 Move region to another region server
58. @sysadmindays @ovh 58 Drain regions of the region server
59. @sysadmindays @ovh 59 Managing multiple hardware profiles
60. @sysadmindays @ovh 60 Balance the cluster
61. Tips & tricks 61
62. @sysadmindays @ovh 62 Xreceiver ERROR org.apache.hadoop.dfs.DataNode: DatanodeRegistration(...): DataXceiver: java.io.IOException: xceiverCount 258 exceeds the limit of concurrent xcievers 256 HDFS
63. @sysadmindays @ovh 63 Xreceiver ERROR org.apache.hadoop.dfs.DataNode: DatanodeRegistration(...): DataXceiver: java.io.IOException: xceiverCount 258 exceeds the limit of concurrent xcievers 256 HDFS INFO org.apache.hadoop.dfs.DFSClient: Exception in createBlockOutputStream java.io.IOException: Could not read from stream INFO org.apache.hadoop.dfs.DFSClient: Abandoning block blk_-546... WARN org.apache.hadoop.dfs.DFSClient: DataStreamer Exception: java.io.IOException: Unable to create new block. WARN org.apache.hadoop.dfs.DFSClient: Error Recovery for block blk_-546.. bad dn[0] FATAL org.apache.hadoop.hbase.regionserver.Flusher: Replay of hlog required. Forcing server shutdown HBASE
64. @sysadmindays @ovh 64 Xreceiver if (curXceiverCount > dataXceiverServer.maxXceiverCount) { throw new IOException(“xceiverCount ” + curXceiverCount + ” exceeds the limit of concurrent xcievers “ + dataXceiverServer.maxXceiverCount); }
65. @sysadmindays @ovh 65 Xreceiver if (curXceiverCount > dataXceiverServer.maxXceiverCount) { throw new IOException(“xceiverCount ” + curXceiverCount + ” exceeds the limit of concurrent xcievers “ + dataXceiverServer.maxXceiverCount); }
66. @sysadmindays @ovh 66 Ipc queue HBASE
67. @sysadmindays @ovh 67 Hardware pitfalls Be sure how much controlers matches the number of disk & sata ports Be sure that your network link can handle your disk IO capacity Be sure of threads distributions, (IRQ, NUMA surprises,ingest+processing+gc+...)
68. @sysadmindays @ovh 68 Hardware pitfalls Be sure how much controlers matches the number of disk & sata ports Be sure that your network link can handle your disk IO capacity Be sure of threads distributions, (IRQ, NUMA surprises,ingest+processing+gc+...)
69. What we achieved! 69
70. @sysadmindays @ovh 70 5 million puts/s
71. @sysadmindays @ovh 71 ...
72. Thanks! 72