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Add a note on using write disposition in Weaviate #623

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Sep 12, 2023
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Add a note on using write disposition in Weaviate #623

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Add a note on using write disposition in Weaviate
burnash Sep 12, 2023
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close the caution block
burnash Sep 12, 2023
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11 changes: 9 additions & 2 deletions docs/website/docs/dlt-ecosystem/destinations/weaviate.md
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---
title: Weaviate
description: Weaviate is an open source vector database that can be used as a destination in the DLT.
description: Weaviate is an open source vector database that can be used as a destination in dlt.
keywords: [weaviate, vector database, destination, dlt]
---

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### Merge

The [merge](../../general-usage/incremental-loading.md) disposition merges the data from the resource with the data in the destination.
The [merge](../../general-usage/incremental-loading.md) write disposition merges the data from the resource with the data in the destination.
For `merge` disposition you would need to specify a `primary_key` for the resource:

```python
Expand All @@ -161,6 +161,13 @@ info = pipeline.run(

Internally dlt will use `primary_key` (`document_id` in the example above) to generate a unique identifier ([UUID](https://weaviate.io/developers/weaviate/manage-data/create#id)) for each object in Weaviate. If the object with the same UUID already exists in Weaviate, it will be updated with the new data. Otherwise, a new object will be created.


:::caution

If you are using the merge write disposition, you must set it from the first run of your pipeline, otherwise the data will be duplicated in the database on subsequent loads.

:::

### Append

This is the default disposition. It will append the data to the existing data in the destination ignoring the `primary_key` field.
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