Elasticsearch (R)Evolution — You Know, for Search...
A presentation at Voxxed Days Athens in in Athens, Greece by Philipp Krenn
(R) Evolution Philipp Krenn 44444444 @xeraa
Revolution
https://db-engines.com/en/ranking
https://www.reddit.com/r/SQL/comments/7i828i/ms_sql_query_is_too_complex/
Who uses Elasticsearch?
Infrastructure | Developer Advocate
http://thedudeabides.com/articles/ the_birth_of_compass
Terms Cluster, Node, Index, Shard, Document, ID
$ curl http: //localhost:9200 {
"name" : "elasticsearch1" ,
"cluster_name" : "docker-cluster" ,
"cluster_uuid" : "l6wfwv8XSniiI_Fx6qqrcw" ,
"version" : {
"number" : "5.6.9" ,
"build_hash" : "877a590" ,
"build_date" : "2018-04-12T16:25:14.838Z" ,
"build_snapshot" : false ,
"lucene_version" : "6.6.1" },
"tagline" : "You Know, for Search" }
$ curl http: //localhost:9200 {
"name" : "elasticsearch1" ,
"cluster_name" : "docker-cluster" ,
"cluster_uuid" : "l6wfwv8XSniiI_Fx6qqrcw" ,
"version" : {
"number" : "5.6.9" ,
"build_hash" : "877a590" ,
"build_date" : "2018-04-12T16:25:14.838Z" ,
"build_snapshot" : false ,
"lucene_version" : "6.6.1" },
"tagline" : "You Know, for Search" }
Evolution
Questions: https://sli.do/xeraa Answers: https://twitter.com/xeraa
Strictness * 5.0 * Demo
Bootstrap Checks https://www.elastic.co/guide/en/elasticsearch/ reference/current/bootstrap-checks.html
Parameters & Configs
Rolling Upgrades * 6.0 * Demo
Floodstage Watermark * 6.0 * Demo
Low 85% High 90% Floodstage 95%
Sequence Numbers * 6.0 * Demo
63 bits ought to be enough for anyone.
Tradeoff index.translog.retention.size: 512MB index.translog.retention.age: 12h
Cross Datacenter Replication 6.x or 7.x
Types * 5.6 to 8.0 * Demo
Why Data types Sparsity Scoring
How 5.6 opt-in single type 6.x single type 7.x type optional in API 8.x no more types https://www.elastic.co/guide/en/elasticsearch/reference/current/ removal-of-types.html#_schedule_for_removal_of_mapping_types
Automatic Queue Resizing 6.0
Reject and Retry Instead of Long Queues thread_pool.search.target_response_rate: 2s Serving 50 requests/s Queue size:
Adaptive Replica Selection 6.1 (enabled by default in 7.0)
Pick Best Shard Exponentially Weighted Moving Average (EWMA) Piggyback on responses to coordinating node
Shrink & Split * 4 5.0 444 6.1 * Demo
Shrink Combine shards by a factor
Split Split into a factor of number_of_routing_shards Not required in 7.0+
Shards 7.0
Default: 1 shard per index Oversharding
Benchmarks ∞
Rally https://elasticsearch-benchmarks.elastic.co
Conclusion
Strictness Rolling Upgrades Floodstage Watermark Sequence Numbers Types
Automatic Queue Resizing Adaptive Replica Selection Shrink & Split Default Shard Number
https://www.meetup.com/Greece-Elastic/ Monday 19:00, The Cube Athens
Questions? Philipp Krenn 4444444 @xeraa
Elasticsearch is a distributed, RESTful search and analytics engine built on top of Apache Lucene. After the initial release in 2010 it has become the most widely used full-text search engine, but it is not stopping there.
The revolution happened and now it is time for evolution. We dive into the following questions:
- How did leniency help the initial adoption, but why and how do we lean more on strictness today?
- How can upgrades be improved to avoid any downtime even when changing major versions?
- How can new resiliency features improve recovery scenarios and add totally new features?
- Why are types finally disappearing and how are we are trying to avoid the upgrade pain as much as possible?
- What are examples for some clever performance improvements?
- How can you shrink and (finally) split shards in a highly efficient way?
Attendees learn both about new and upcoming features as well as the motivation and engineering challenges behind them.
Video
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