Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add custom parent-child relationships example #1678

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Empty file.
Original file line number Diff line number Diff line change
@@ -0,0 +1,69 @@
"""
---
title: Load parent table records into child table
description: Learn how to integrate custom parent keys into child records
keywords: [parent child relationship, parent key]
---

This example demonstrates handling data with parent-child relationships using the `dlt` library.
You learn how to integrate specific fields (e.g., primary, foreign keys) from a parent record into each child record.

In this example, we'll explore how to:

- Add `parent_id` into each child record using `add_parent_id` function
- Use the [`add_map` function](https://dlthub.com/docs/api_reference/extract/resource#add_map) to apply this
custom logic to every record in the dataset

:::note important
Please note that dlt metadata, including `_dlt_id` and `_dlt_load_id`, will still be loaded into the tables.
:::
"""

from typing import List, Dict, Any, Generator
import dlt

# Define a dlt resource with write disposition to 'merge'
@dlt.resource(name="parent_with_children", write_disposition={"disposition": "merge"})
def data_source() -> Generator[List[Dict[str, Any]], None, None]:
# Example data
data = [
{
"parent_id": 1,
"parent_name": "Alice",
"children": [
{"child_id": 1, "child_name": "Child 1"},
{"child_id": 2, "child_name": "Child 2"},
],
},
{
"parent_id": 2,
"parent_name": "Bob",
"children": [{"child_id": 3, "child_name": "Child 3"}],
},
]

yield data

# Function to add parent_id to each child record within a parent record
def add_parent_id(record: Dict[str, Any]) -> Dict[str, Any]:
parent_id_key = "parent_id"
for child in record["children"]:
child[parent_id_key] = record[parent_id_key]
return record

if __name__ == "__main__":
# Create and configure the dlt pipeline
pipeline = dlt.pipeline(
pipeline_name="generic_pipeline",
destination="duckdb",
dataset_name="dataset",
)

# Run the pipeline
load_info = pipeline.run(
data_source()
.add_map(add_parent_id),
primary_key="parent_id"
)
# Output the load information after pipeline execution
print(load_info)
Original file line number Diff line number Diff line change
@@ -0,0 +1,78 @@

import pytest

from tests.utils import skipifgithubfork


"""
---
title: Load parent table records into child table
description: Learn how to integrate custom parent keys into child records
keywords: [parent child relationship, parent key]
---

This example demonstrates handling data with parent-child relationships using
the `dlt` library. You learn how to integrate specific fields (e.g., primary,
foreign keys) from a parent record into each child record.

In this example, we'll explore how to:

- Add `parent_id` into each child record using `add_parent_id` function
- Use the [`add_map` function](https://dlthub.com/docs/api_reference/extract/resource#add_map) to apply this
custom logic to every record in the dataset

:::note important
Please note that dlt metadata, including `_dlt_id` and `_dlt_load_id`, will still be loaded into the tables.
:::
"""

from typing import List, Dict, Any, Generator
import dlt

# Define a dlt resource with write disposition to 'merge'
@dlt.resource(name="parent_with_children", write_disposition={"disposition": "merge"})
def data_source() -> Generator[List[Dict[str, Any]], None, None]:
# Example data
data = [
{
"parent_id": 1,
"parent_name": "Alice",
"children": [
{"child_id": 1, "child_name": "Child 1"},
{"child_id": 2, "child_name": "Child 2"},
],
},
{
"parent_id": 2,
"parent_name": "Bob",
"children": [{"child_id": 3, "child_name": "Child 3"}],
},
]

yield data

# Function to add parent_id to each child record within a parent record
def add_parent_id(record: Dict[str, Any]) -> Dict[str, Any]:
parent_id_key = "parent_id"
for child in record["children"]:
child[parent_id_key] = record[parent_id_key]
return record

@skipifgithubfork
@pytest.mark.forked
def test_parent_child_relationship():
# Create and configure the dlt pipeline
pipeline = dlt.pipeline(
pipeline_name="generic_pipeline",
destination="duckdb",
dataset_name="dataset",
)

# Run the pipeline
load_info = pipeline.run(
data_source()
.add_map(add_parent_id),
primary_key="parent_id"
)
# Output the load information after pipeline execution
print(load_info)
Loading