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1 de 21
•
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WILL
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WON’T
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From: ttgtmedia.com
• Large joins taking up memory
• Working size exceeds the hardware limits
• Full text search & NLP
• Write-write conflicts
• Database Replication
• Full page cache
From: Google
• Shard? What is it?
• Primary shard vs. Replica shard
• Shard Overallocation
“
”
Elasticsearch provides the ability to subdivide your index into
multiple pieces called shards. Each shard is in itself a fully-
functional and independent "index" that can be hosted on any
node in the cluster.
•
•
P1 R1 R2
• Can be stored on any node in a cluster
• Independent Index
• Distributed
• Parallelize operations
• A copy of primary shard
• In case failover
• Never resides on a same node as the
original shard
• Scaling search volume
https://www.youtube.com/watch?v=WLiVjAELUaU
By Scott Davis
• Preventing to spend expensive SQL queries to a
relational database with several joins and conditions.
• Or using Elasticsearch as a primary data storage
From Spryker.com
From ONGR.io
From ONGR.io
• Normal Load Condition
(0-5 clients per 5 minutes | 1 dyno)
• Peak Load Condition
(0-100 clients per 5 minutes | 1 dyno)
• Extra Scaling Up Load Condition
(0-600 clients per 5 minutes | 10 dyno)
www.8bitrockr.com
Project Manager
Senior Front-end Developer
Senior PHP Developer
8Bit Rockstars Co., LTD.
L08 – R01, Vincom Center
72 Le Thanh Ton, Ben Nghe,
District 1, HCMC, VN

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TechTalk #13 Grokking: Scaling and supercharging your online business models with Elasticsearch

Notas del editor

  1. An index can potentially store a large amount of data that can exceed the hardware limits of a single node. For example, a single index of a billion documents taking up 1TB of disk space may not fit on the disk of a single node or may be too slow to serve search requests from a single node alone.
  2. https://www.youtube.com/watch?v=WLiVjAELUaU