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ELASTIC SEARCH
Contents 1. What is Elasticsearch
2. Advantages of
Elasticsearch
3. Basic Concepts
4. APIs
5. Mapping
6. Analysis
2
1.
What is
Elasticsearch
3
“
Elasticsearch is a distributed search and
analytics engine, open source, based on
apache lucene engine, schemaless, and
using REST API
4
2.
Advantages of
Elasticsearch
5
Advantages of
Elasticsearch
6
Analysis
Good
Scalability
Implement
search
(query)
Fast
Document
Oriented
(JSON
format)
Schemaless
3.
Basic
Concepts
7
Basic
Concepts
8
Concept
Cluster
Node
Shard
Replica
Near Real
Time
Index
Documents
9
4.
APIs
10
APIs
11
API
Documents
API
Aggregation
Search API
Cat API
Indices API
Cluster API
5.
Mappings
12
Mappings
13
Mappings is how the documents is stored and
indexed
Example:
6.
Analysis
14
Analysis
15
Tokenizer Token Filter
Character
Filter
Elasticsearch can be used to analyze data by
converting the text to tokens or terms.
Conclusion
16
Elasticsearch is a distributed search
and analytics engine that have fast
performance and good scalability
THANK YOU
17

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Introduction to elasticsearch

Editor's Notes

  1. Distributed search and analytics engine means that elasticsearch can be used for querying and for analysis data Schamaless because elasticsearch is nosql likes mongodb REST API with document oriented approach (JSON format)
  2. Good scalability because it’s easy if you want increase/upgrade your server Fast because it’s based on apache lucene which has good indexing capabilitiy
  3. Near real time means when you insert your data into the elasticsearch it’s automatically indexed and searchable
  4. Documents is inside shard, document is the data stored in elasticsearch Index is collection of documents with the same characteristic, index is identified by a name and the name is used when you going to CRUD it Shard is a cut part of index / index is a collection of shard. Shard is used to make elasticsearch have a good scalability because the shards are distributed evenly in all the node, not just in one place Replica is copy of shard incase shard has error, shutdown, etc Node is a server where the data is stored, indexed, and searched. Shard and replica are stored inside node Cluster is a collection of nodes and have a coordinator
  5. Cat API is used if you want to look into elasticsearch configuration/setting/state such as looking to your shards state, ip host used by elasticsearch, etc
  6. Tokens or terms means a word. For example when you convert to tokens or terms, the text is “I work at cocowork in tech department” the tokens are “I”, “work”, “at”, “cocowork”, “in”, “tech”, “department” Character filter means we can filter any character we want (removing it, modifying it, etc) Tokenizer means a method to make the text to tokens or tems Token filter means we can filter the token we want (lowercase it, uppercase, remove, etc)