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fix: Public URLs
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‎pages/data-migration/json.mdx‎

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@@ -247,23 +247,23 @@ The same approach works for S3 files when proper credentials are provided.
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{<h3 className="custom-header">JSONL files</h3>}
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- [`people_nodes.jsonl`](https://s3.eu-west-1.amazonaws.com/download.memgraph.com/asset/docs/people_nodes.jsonl) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
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- [`people_nodes.jsonl`](https://download.memgraph.com/asset/docs/people_nodes.jsonl) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
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```jsonl
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{"id": 100, "name": "Daniel", "age": 30, "city": "London"}
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{"id": 101, "name": "Alex", "age": 15, "city": "Paris"}
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{"id": 102, "name": "Sarah", "age": 17, "city": "London"}
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{"id": 103, "name": "Mia", "age": 25, "city": "Zagreb"}
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{"id": 104, "name": "Lucy", "age": 21, "city": "Paris"}
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```
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- [`restaurants_nodes.jsonl`](https://s3.eu-west-1.amazonaws.com/download.memgraph.com/asset/docs/restaurants_nodes.jsonl) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
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- [`restaurants_nodes.jsonl`](https://download.memgraph.com/asset/docs/restaurants_nodes.jsonl) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
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```jsonl
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{"id": 200, "name": "Mc Donalds", "menu": "Fries;BigMac;McChicken;Apple Pie"}
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{"id": 201, "name": "KFC", "menu": "Fried Chicken;Fries;Chicken Bucket"}
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{"id": 202, "name": "Subway", "menu": "Ham Sandwich;Turkey Sandwich;Foot-long"}
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{"id": 203, "name": "Dominos", "menu": "Pepperoni Pizza;Double Dish Pizza;Cheese filled Crust"}
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```
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- [`people_relationships.jsonl`](https://s3.eu-west-1.amazonaws.com/download.memgraph.com/asset/docs/people_relationships.jsonl) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
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- [`people_relationships.jsonl`](https://download.memgraph.com/asset/docs/people_relationships.jsonl) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
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```jsonl
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{"first_person": 100, "second_person": 102, "met_in": 2014}
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{"first_person": 103, "second_person": 101, "met_in": 2021}
@@ -273,7 +273,7 @@ The same approach works for S3 files when proper credentials are provided.
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{"first_person": 101, "second_person": 102, "met_in": 2017}
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{"first_person": 100, "second_person": 103, "met_in": 2001}
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```
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- [`restaurants_relationships.jsonl`](https://s3.eu-west-1.amazonaws.com/download.memgraph.com/asset/docs/restaurants_relationships.parquet) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
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- [`restaurants_relationships.jsonl`](https://download.memgraph.com/asset/docs/restaurants_relationships.jsonl) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
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```jsonl
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{"PERSON_ID": 100, "REST_ID": 200, "liked": true}
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{"PERSON_ID": 103, "REST_ID": 201, "liked": false}
@@ -293,15 +293,15 @@ The same approach works for S3 files when proper credentials are provided.
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for each row with properties based on the parsed row values:
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```cypher
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LOAD JSONL FROM "people_nodes.jsonl"
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LOAD JSONL FROM "https://download.memgraph.com/asset/docs/people_nodes.jsonl"
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AS row
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CREATE (n:Person {id: row.id, name: row.name, age: row.age, city: row.city});
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```
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In the same manner, the following query will create a new node for each restaurant:
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```cypher
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LOAD JSONL FROM "restaurants_nodes.jsonl" AS row
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LOAD JSONL FROM "https://download.memgraph.com/asset/docs/restaurants_nodes.jsonl" AS row
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CREATE (n:Restaurant {id: row.id, name: row.name, menu: row.menu});
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```
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The following query will create relationships between the people nodes:
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```cypher
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LOAD JSONL FROM "people_relationships.jsonl" AS row
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LOAD JSONL FROM "https://download.memgraph.com/asset/docs/people_relationships.jsonl" AS row
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MATCH (p1:Person {id: row.first_person})
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MATCH (p2:Person {id: row.second_person})
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CREATE (p1)-[f:IS_FRIENDS_WITH]->(p2)
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The following query will create relationships between people and restaurants where they ate:
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```cypher
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LOAD JSONL FROM "restaurants_relationships.jsonl" AS row
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LOAD JSONL FROM "https://download.memgraph.com/asset/docs/restaurants_relationships.jsonl" AS row
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MATCH (p1:Person {id: row.PERSON_ID})
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MATCH (re:Restaurant {id: row.REST_ID})
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CREATE (p1)-[ate:ATE_AT]->(re)

‎pages/data-migration/parquet.mdx‎

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@@ -288,7 +288,7 @@ single label or relationships of a single type.
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{<h3 className="custom-header">Parquet files</h3>}
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- [`people_nodes.parquet`](s3://download.memgraph.com/asset/docs/people_nodes.parquet) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
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- [`people_nodes.parquet`](https://download.memgraph.com/asset/docs/people_nodes.parquet) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
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```parquet
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id,name,age,city
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100,Daniel,30,London
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103,Mia,25,Zagreb
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104,Lucy,21,Paris
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```
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- [`restaurants_nodes.parquet`](s3://download.memgraph.com/asset/docs/restaurants_nodes.parquet) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
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- [`restaurants_nodes.parquet`](https://download.memgraph.com/asset/docs/restaurants_nodes.parquet) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
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```parquet
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id,name,menu
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200,Mc Donalds,Fries;BigMac;McChicken;Apple Pie
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203,Dominos,Pepperoni Pizza;Double Dish Pizza;Cheese filled Crust
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```
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- [`people_relationships.parquet`](s3://download.memgraph.com/asset/docs/people_relationships.parquet) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
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- [`people_relationships.parquet`](https://download.memgraph.com/asset/docs/people_relationships.parquet) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
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```parquet
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first_person,second_person,met_in
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100,102,2014
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101,102,2017
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100,103,2001
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```
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- [`restaurants_relationships.parquet`](s3://download.memgraph.com/asset/docs/restaurants_relationships.parquet) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
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- [`restaurants_relationships.parquet`](https://download.memgraph.com/asset/docs/restaurants_relationships.parquet) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
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```parquet
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PERSON_ID,REST_ID,liked
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100,200,true
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for each row with properties based on the parsed row values:
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```cypher
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LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/people_nodes.parquet" AS row
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LOAD PARQUET FROM "https://download.memgraph.com/asset/docs/people_nodes.parquet" AS row
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CREATE (n:Person {id: row.id, name: row.name, age: row.age, city: row.city});
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```
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In the same manner, the following query will create new nodes for each restaurant:
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```cypher
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LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/restaurants_nodes.parquet" AS row
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LOAD PARQUET FROM "https://download.memgraph.com/asset/docs/restaurants_nodes.parquet" AS row
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CREATE (n:Restaurant {id: row.id, name: row.name, menu: row.menu});
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```
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The following query will create relationships between the people nodes:
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```cypher
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LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/people_relationships.parquet" AS row
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LOAD PARQUET FROM "https://download.memgraph.com/asset/docs/people_relationships.parquet" AS row
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MATCH (p1:Person {id: row.first_person})
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MATCH (p2:Person {id: row.second_person})
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CREATE (p1)-[f:IS_FRIENDS_WITH]->(p2)
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The following query will create relationships between people and restaurants where they ate:
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```cypher
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LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/restaurants_relationships.parquet" AS row
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LOAD PARQUET FROM "https://download.memgraph.com/asset/docs/restaurants_relationships.parquet" AS row
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MATCH (p1:Person {id: row.PERSON_ID})
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MATCH (re:Restaurant {id: row.REST_ID})
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CREATE (p1)-[ate:ATE_AT]->(re)

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