Generate Elastic Search Index Mapping Quickly with this helper class see examples on how to use it
Project description
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Elastic Search Mapping Generator
what is Elastic Search Mapping Generator ?
- For the past few months, i have been working on elastic search. I notice that it's hard to generate dynamic Query for elastic search it would be great if we had a class that can generate these complex queries. that's the reason I published an open-source library on PyPI that can generate these queries for youÂ
- Link : https://pypi.org/project/elasticsearchquerygenerator/
- Similar approach i wanted to create something that can generate elastic search mapping as well
documentation :
- UML Diagram
Constructor:
* number_of_shards: default shards is 1
* number_of_replicas: default is 0
add_feilds(feild_name=None,type=None,index=True,keywords=True):
- This is main method which does most of work for you
type:
- Type can be text for full text search see link for more details https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html
index : Default value is True
- The index option controls whether field values are indexed. It accepts true or false and defaults to true. Fields that are not indexed are not queryable. https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-index.html
keywords : Default value is True
- Read more https://www.elastic.co/guide/en/elasticsearch/reference/current/keyword.html
- if you dont want keywords set this to False
Installation
pip install elasticsearchmappinggenerator
Usage
Schema
{
"first_name":"Soumil ",
"last_name":"Shah"
}
def main():
_helper = ElasticMappingGenerator(number_of_replicas=1,number_of_shards=20)
_helper.add_feilds(feild_name='first_name', type='text', index=True, keywords=False)
_helper.add_feilds(feild_name='last_name', type='text', index=True)
query = _helper.complete_mappings()
print(json.dumps(query, indent=3))
if __name__ == '__main__':
main()
Output :
{
"settings": {
"index": {
"number_of_shards": 20,
"number_of_replicas": 1
}
},
"mappings": {
"properties": {
"name": {
"properties": {
"first_name": {
"type": "text",
"index": true
},
"last_name": {
"type": "text",
"index": true,
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
}
Generating Nested Schema
{
"name":
{
"first_name":"Soumil ",
"last_name":"Shah"
}
}
def main():
_helper = ElasticMappingGenerator(number_of_replicas=1,number_of_shards=20)
_helper.add_feilds(feild_name='name.first_name', type='text', index=True, keywords=False)
_helper.add_feilds(feild_name='name.last_name', type='text', index=True)
query = _helper.complete_mappings()
print(json.dumps(query, indent=3))
if __name__ == '__main__':
main()
output
{
"settings": {
"index": {
"number_of_shards": 20,
"number_of_replicas": 1
}
},
"mappings": {
"properties": {
"name": {
"properties": {
"first_name": {
"type": "text",
"index": true
},
"last_name": {
"type": "text",
"index": true,
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
}
i would be adding more examples and making it better and better
Authors
Soumil Nitin Shah
- Excellent experience of building scalable and high-performance Software Applications combining distinctive skill sets in Internet of Things (IoT), Machine Learning and Full Stack Web Development in Python.
Bachelor in Electronic Engineering | Masters in Electrical Engineering | Master in Computer Engineering |
- Website : https://soumilshah.herokuapp.com
- Github: https://github.com/soumilshah1995
- Linkedin: https://www.linkedin.com/in/shah-soumil/
- Blog: https://soumilshah1995.blogspot.com/
- Youtube : https://www.youtube.com/channel/UC_eOodxvwS_H7x2uLQa-svw?view_as=subscriber
- Facebook Page : https://www.facebook.com/soumilshah1995/
- Email : shahsoumil519@gmail.com
License
This project is licensed under the MIT License - see the LICENSE.md file for details
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