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Magento 2.3 Community Edition Elastic cloud 7.0.1 integration - Mapping Issues
Magento2: What are the differences between Elasticsearch and Solr?Magento 2 CE and ElasticSearch integrationMagento 2 Commerce Enable Elastic SearchElasticsearch “illegal_argument_exception” when trying to search by string typeMagento 2 and ElasticSearch errors. Connection Failed. Test again?How to extend the built-in elastic search?Error Elasticsearch on reindexing - No handler for type [text] declared on field [search]Magento 2.3 : How to use Elastic search?How to limit the search index fields in Magento?Facing issue with elastic search in magento 2.3 cloud
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I have a project where i use magento 2.3 Community Edition and want to connect the elastic search Cloud (7.0.1). I selected Search Engine: "Elasticsearch 6.0+". The connection to the cloud ist working.
The index for the products is generated.
But there are two issues:
For each category there have been two additional attributes created:
The attributes are of the type string and contain the categoryname.
Why does Magento creates the index like this?
Is there a way to prevent this behaviour two have a more clear datamodel in the index?
Like only one attribute for categories with a list of categories.
My second question is:
I have a lot of fields in magento with the magento fieldtype "price". For example for width and height of the product.
These attributes are generated as type "string" in elastic and not as float or something similar.
This is lead to the problem that the layered navigation is throwing errors when trying to use this fields on sliders with a range.
Is there a way to get the correct field types in elastic?
magento2.3 elasticsearch
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Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I have a project where i use magento 2.3 Community Edition and want to connect the elastic search Cloud (7.0.1). I selected Search Engine: "Elasticsearch 6.0+". The connection to the cloud ist working.
The index for the products is generated.
But there are two issues:
For each category there have been two additional attributes created:
The attributes are of the type string and contain the categoryname.
Why does Magento creates the index like this?
Is there a way to prevent this behaviour two have a more clear datamodel in the index?
Like only one attribute for categories with a list of categories.
My second question is:
I have a lot of fields in magento with the magento fieldtype "price". For example for width and height of the product.
These attributes are generated as type "string" in elastic and not as float or something similar.
This is lead to the problem that the layered navigation is throwing errors when trying to use this fields on sliders with a range.
Is there a way to get the correct field types in elastic?
magento2.3 elasticsearch
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I have a project where i use magento 2.3 Community Edition and want to connect the elastic search Cloud (7.0.1). I selected Search Engine: "Elasticsearch 6.0+". The connection to the cloud ist working.
The index for the products is generated.
But there are two issues:
For each category there have been two additional attributes created:
The attributes are of the type string and contain the categoryname.
Why does Magento creates the index like this?
Is there a way to prevent this behaviour two have a more clear datamodel in the index?
Like only one attribute for categories with a list of categories.
My second question is:
I have a lot of fields in magento with the magento fieldtype "price". For example for width and height of the product.
These attributes are generated as type "string" in elastic and not as float or something similar.
This is lead to the problem that the layered navigation is throwing errors when trying to use this fields on sliders with a range.
Is there a way to get the correct field types in elastic?
magento2.3 elasticsearch
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I have a project where i use magento 2.3 Community Edition and want to connect the elastic search Cloud (7.0.1). I selected Search Engine: "Elasticsearch 6.0+". The connection to the cloud ist working.
The index for the products is generated.
But there are two issues:
For each category there have been two additional attributes created:
The attributes are of the type string and contain the categoryname.
Why does Magento creates the index like this?
Is there a way to prevent this behaviour two have a more clear datamodel in the index?
Like only one attribute for categories with a list of categories.
My second question is:
I have a lot of fields in magento with the magento fieldtype "price". For example for width and height of the product.
These attributes are generated as type "string" in elastic and not as float or something similar.
This is lead to the problem that the layered navigation is throwing errors when trying to use this fields on sliders with a range.
Is there a way to get the correct field types in elastic?
magento2.3 elasticsearch
magento2.3 elasticsearch
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked May 22 at 9:37
AndreasAndreas
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New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Andreas is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
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