I rephrase my question from yesterday because it was not very clear, I want to automatically add the data stored in SQL Server in Postgres, i.e. the data in Postgres is always the same as that in SQL Server, That is to say that if there is an update of data in SQL Server, those in Postgres are also updated.

Postgres is UI-bound and SQL Server is read-only for data retrieval.

My table structure for Postgres and SQL Server is like this :
id , description , price , title , views , inserted_at and updated_at.

I receive format of data like this from SQL Server and how I can to store this into Postgres:

QUERY OK source=“products” db=3.0ms queue=4.8ms idle=1400.1ms
SELECT p0.[id], p0.[description], p0.[price], p0.[title], p0.[views], p0.[inserted_at], p0.[updated_at] FROM [products] AS p0 []
[
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 2,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 3,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 4,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 5,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 6,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 7,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 8,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 9,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 10,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “taille haute”,
id: 11,
inserted_at: ~N[2022-03-22 00:00:00],
price: #Decimal<2.000000>,
title: “pantalon”,
updated_at: ~N[2022-03-23 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “Taille Xl”,
id: 13,
inserted_at: ~N[2022-03-23 00:00:00],
price: #Decimal<2.000000>,
title: “t-shirt”,
updated_at: ~N[2022-03-24 00:00:00],
views: 1
},
%SyncDb.Catalog.Product{
meta: #Ecto.Schema.Metadata<:loaded, “products”>,
description: “Taille X”,
id: 14,
inserted_at: ~N[2022-03-23 00:00:00],
price: #Decimal<3.000000>,
title: “short”,
updated_at: ~N[2022-03-24 00:00:00],
views: 1
}
]

Can someone help me because I don’t see how it works

Thanks!