What's Evolving in Elasticsearch?

Elasticsearch team and tech leads give an overview of the changes already released in 5.x series, and a taste of the new features coming in 6.0.

Clinton Gormley l Elasticsearch Team Lead l Elastic
Simon Willnauer l Elasticsearch Tech Lead l Elastic

Transcript

1. Elastic 7 March 2017 @clintongormley & @s1m0nw What’s evolving in Elasticsearch Clinton Gormley & Simon Willnauer
2. 2 • Faster • Friendlier • Smaller • Smarter • Safer 26 October 2016 Elasticsearch 5.0.0
3. Throughput with one replica on two nodes, with auto-generated IDs Append-only indexing 3 0 8 15 23 30 v2.4.2 v5.2.1 master K docs/s
4. What’s new in 5.x?
5. Mappings
6. Range Fields & Queries
7. 7 What’s on at Elasticon tomorrow between 11am and 2pm?
9. 9 Wednesday 11am - 2pm
10. 10 Wednesday 11am - 2pm - INTERSECTS
11. 11 Wednesday 11am - 2pm - CONTAINS
12. 12 Wednesday 11am - 2pm - WITHIN
13. Keyword Normalizers
14. 14 { "city": { "type": "string", "index": "analyzed", "fields": { "city.keyword": { "type": "string", "index": "not_analyzed" } } } }
15. 15 { "city": { "type": "text" "fields": { "city.keyword": { "type": "keyword" } } } }
16. 16 { "city": { "type": "text" "fields": { "city.keyword": { "type": "keyword" } } } } Full text queries Full text analysis
17. 17 { "city": { "type": "text" "fields": { "city.keyword": { "type": "keyword" } } } } Keyword queries Aggregations Sorting
18. 18 { "city": { "type": "text" "fields": { "city.keyword": { "type": "keyword" } } } } No analysis
19. 19 San Francisco SAN FRANCISCO san francisco San franciscO
20. 20 San Francisco SAN FRANCISCO san francisco San franciscO san francisco Normalizer
21. Search & Aggregations
22. Multi-Word Synonyms
23. 23 NY NYC New York New York City } Synonyms
24. Phrase query: “NYC is OLD!”
25. 25 Synonym Filter: (ny|nyc|new), (is|york), (old,city)
26. 26 Synonym Filter: (ny|nyc|new), (is|york), (old,city)
27. 27 Synonym Filter: (ny|nyc|new), (is|york), (old,city) ny is old nyc new york city Synonym Graph Filter:
28. More Search Improvements
29. 29 Query Optimizations • Smarter query caching • Faster geo, range, and nested queries • Unified highlighter • Field collapsing • Cancellable searches • Partitioned term aggs
30. Operational Improvements
31. 31 When your cluster is RED… /_cat/allocation /_cat/indices /_cat/nodes /_cat/recovery /_cat/shards /_cluster/health /_cluster/state /{index}/_shard_stores /_cluster/settings /_node/stats /{index}/_settings /_node
32. 32 When your cluster is RED… /_cluster/allocation/explain
33. 33 /_cluster/allocation/explain … "allocate_explanation" : "cannot allocate because allocation is not permitted to any of the nodes”, … { "decider" : "filter", "decision" : "NO", "explanation" : "node does not match index setting [index.routing.allocation.include] filters [_name:\"non_existent_node\"]" } …
34. 34 /_cluster/allocation/explain … "unassigned_info" : { "reason" : "NODE_LEFT", "at" : "2017-01-04T18:03:28.464Z", "details" : "node_left[OIWe8UhhThCK0V5XfmdrmQ]", "last_allocation_status" : "no_valid_shard_copy" }, "can_allocate" : "no_valid_shard_copy", "allocate_explanation" : "cannot allocate because a previous copy of the primary shard existed but can no longer be found on the nodes in the cluster" …
35. 35 /_cluster/allocation/explain … "rebalance_explanation" : "cannot rebalance as no target node exists that can both allocate this shard and improve the cluster balance", "node_allocation_decisions" : [ { "node_id" : "oE3EGFc8QN-Tdi5FFEprIA", "node_name" : "node_t1", "transport_address" : "127.0.0.1:9401", "node_decision" : "worse_balance", "weight_ranking" : 1 } …
36. Java REST Client
37. 37 Java REST Client - behind the scenes • Came late to the party… • Isn’t nearly as extensive as the Transport Client • Should have been fixed years ago but hindsight is 20/20 • Maintaining a transport protocol based client causes a massive engineering overhead • It’s a “second” entry point into the system • Complicates distinguishing between clients and nodes
38. 38 Java low-level HTTP client • Released in 5.0.0 • JSON strings only • Resilient, but not user friendly due to the lack of a higher level API
39. 39 Java high-level HTTP client • IDE friendly • Similar API to Transport Client - easy migration • Based on low-level REST client • Support CRUD & Search • Previews in 5.5 • Depends on elasticsearch-core
40. Tribe Node
41. 41 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Cluster R&D Master Nodes Data Node Data Node Data Node
42. 42 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node Cluster R&D Master Nodes Data Node Data Node Data Node tribe: t1: cluster.name: sales t2: cluster.name: r_and_d
43. 43 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node
44. 44 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client
45. 45 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Cluster State Cluster State
46. 46 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Cluster State Cluster State
47. 47 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State
48. 48 How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State Kibana
49. 49 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State Kibana
50. 50 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State Kibana Static Configuration tribe: t1: cluster.name: sales t2: cluster.name: r_and_d
51. 51 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Kibana Merged Cluster State Connections to All Nodes
52. 52 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Kibana Merged Cluster State Frequent cluster state updates
53. 53 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Kibana Merged Cluster State Index names must be unique
54. 54 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State Tribe Node Kibana No master node No index creation
55. 55 Problems With How the Tribe Node works Cluster Sales Master Nodes Data Node Data Node Data Node Tribe Node t1 Node Client Cluster R&D Master Nodes Data Node Data Node Data Node t2 Node Client Merged Cluster State Kibana Reduce results from many shards
56. The Tribe Node is Dead
57. Long Live Cross-Cluster Search!
58. Minimal viable solution to supersede tribe 58
59. Reduces the problem domain to query execution 59
60. Cluster related information is reduced to a namespace 60
61. 61 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Cluster R&D Master Nodes Data Node Data Node Data Node
62. 62 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Any node can perform cross-cluster search
63. 63 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Optional dedicated cross-cluster search cluster Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node
64. 64 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node PUT _cluster/settings { "transient": { "search.remote": { "sales.seeds": "10.0.0.1:9300", “r_and_d.seeds”: "10.1.0.1:9300" } } } Dynamic settings Optional dedicated cross-cluster search cluster
65. 65 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node No cluster state updates Optional dedicated cross-cluster search cluster
66. 66 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana Optional dedicated cross-cluster search cluster
67. 67 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana Can create indices Optional dedicated cross-cluster search cluster
68. 68 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana Optional dedicated cross-cluster search cluster
69. 69 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana Few lightweight connections Optional dedicated cross-cluster search cluster
70. 70 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana Index namespacing GET sales:*,r_and_d:logs*/_search { "query": { … } } Optional dedicated cross-cluster search cluster
71. 71 How Cross-Cluster search works Cluster Sales Master Nodes Data Node Data Node Data Node Master/Data Node Cluster R&D Master Nodes Data Node Data Node Data Node Master/Data Node Kibana With many shards Batched Reduce Phase Optional dedicated cross-cluster search cluster
72. Cross-Cluster Search v5.3.0
73. Batched Reduce Phase v5.4.0
74. v6 and beyond
75. Doc Values v2.x
76. 76 Doc Values • Columnar store • Fast access to a field’s value for many documents. • Used for aggregations, sorting, scripting, and some queries • Written to disk at index time. • Cached in the file-system cache
77. 77 Doc Values - Dense Values Segment 1 Docs Field 1 Field 2 1 One A 2 Two B 3 Three C Segment 2 Docs Field 1 Field 2 1 Four D
78. 78 Doc Values - Dense Values Segment 1 Docs Field 1 Field 2 1 One A 2 Two B 3 Three C Segment 2 Docs Field 1 Field 2 1 Four D Merged Segment 3 Docs Field 1 Field 2 1 One A 2 Two B 3 Three C 4 Four D
79. 79 Doc Values - Sparse Values Segment 1 Docs Field 1 Field 2 1 One A 2 Two B 3 Three C Segment 2 Docs Field 3 Field 4 Field 5 1 Foo Bar Baz
80. 80 Doc Values - Sparse Values Segment 1 Docs Field 1 Field 2 1 One A 2 Two B 3 Three C Segment 2 Docs Field 3 Field 4 Field 5 1 Foo Bar Baz Merged Segment 3 Docs Field 1 Field 2 Field 3 Field 4 Field 5 1 One A Null Null Null 2 Two B Null Null Null 3 Three C Null Null Null 4 Null Null Foo Bar Baz
81. Sparse Doc Values Lucene 7
82. Index Sorting Lucene 7
83. 83 Index sorting • Sort index by e.g. weight, recency, or popularity • Ultra-fast search - can terminate once enough hits found
84. 84 Index sorting • Sort index by e.g. weight, recency, or popularity • Ultra-fast search - can terminate once enough hits found • Even helps with total count and aggregations • Sort index by low cardinality terms - faster search • Better sparse index compression • Slower indexing, good for static indices
85. Sequence Numbers v6.0.0
86. 86 Sequence Numbers • Internal Feature • Every operation gets a sequence number • In 6.0: Fast replica recovery on active indices • Lays groundwork for: • Primary-Replica syncing when Primary fails • Cross Data-Centre Recovery • Changes API
87. Upgrading
88. Rolling Upgrades v6.0.0
89. 89 Rolling Upgrades • Upgrade from 5.latest to 6.latest, without a full cluster restart • Why now and not earlier? • Testing needs to be ready • The team and the code must be ready • Growing user-base and faster release cycles required less painful upgrades
90. 90 Rolling Upgrades • What is 5.latest? • It’s the latest release of 5.x that is GA once 6.0.0 goes GA • All 6.x releases will allow upgrading from that 5.x release • There might be subsequent 5.x releases that are also eligible for upgrades to 6.x
91. 91 Rolling Upgrades • Caveats: • If using security, must have TLS enabled • Reserve the right to require full cluster restart in the future - but only if absolutely necessary • All nodes must be upgraded to 5.latest in order to upgrade • Indices created in 2.x still need to be reindexed before upgrading to 6.x
93. Cross Major Version Search v6.0.0
94. 94 Cross Major Version Search v5.2.0 Kibana Master Nodes Data Node Data Node
95. 95 Cross Major Version Search v5.2.0 Kibana v6.0.0 Master Nodes Data Node Data Node Master Nodes Data Node Data Node
96. 96 Cross Major Version Search v5.2.0 Master Nodes Data Node Data Node v6.0.0 v5.latest Kibana Master Nodes Data Node Data Node
97. 97 Cross Major Version Search v5.2.0 Master Nodes Data Node Data Node v6.0.0 Kibana Master Nodes Data Node Cross Cluster Client v5.latest
98. Questions?
99. Other Talks You Should See 99 • “Get the Lay of the Lucene Land” 
 Adrien Grand - Wednesday • “Consensus and Replication in Elasticsearch” 
 Boaz Leskes, Jason Tedor, and Yannick Welsch - Wednesday • “Elasticsearch Search Improvements”
 Jim Firenczi, Lee Hinman, Nick Knize - Thursday • “Secure, Fast, and Painless”
 Nik Everett - Thursday
100. 100 More Questions? Visit us at the AMA
101. www.elastic.co
102. Except where otherwise noted, this work is licensed under http://creativecommons.org/licenses/by-nd/4.0/ Creative Commons and the double C in a circle are registered trademarks of Creative Commons in the United States and other countries. Third party marks and brands are the property of their respective holders. 102 Please attribute Elastic with a link to elastic.co