Search and bulk-update asset metadata in Atlan using the Python SDK

Steps

1. Install pyatlan via pip install pyatlan; instantiate an AtlanClient using your Atlan workspace URL and a personal access token (PAT) obtained from the Atlan Profile > API Tokens page
2. Build a search query using FluentSearch with conditions such as .where(Asset.TYPE_NAME.eq('Table')) and .where(Asset.STATUS.eq(EntityStatus.ACTIVE)); chain .page_size(100) for efficient batch retrieval and call .execute() to get an AssetStream
3. Iterate over the result stream and for each asset build an update payload: call the asset type class (e.g., Table.updater(qualified_name=..., name=...)) then set attributes like .user_description or custom metadata via .set_custom_metadata(attr_id='...', value='...')
4. Accumulate updates in a Batch object (client.asset.save(assets)) using the MERGE strategy to preserve existing custom metadata fields not included in your update payload; submit the batch when it reaches your chosen threshold (e.g., 100 assets)
5. Confirm the updates by re-fetching a sample of assets and inspecting the modified fields, or check the Atlan audit log for the updated asset's qualified name to verify the change timestamp