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how much time does it take to re-align identity graph

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Level 3

how much time does it take to re-align the identity graph, when a profile enabled individual profile dataset is dropped. when there are 1.2 million profiles are impacted.

 

also, when the same 1.2 million data is re-ingested into another profile enabled dataset (from the same schema) how much time does it take to re-align the identity graph and bring those 1.2 million identities back into the profiles.

 

we have a situation which requires to re-ingest the data and profile needs to re-built for those data.

 

Thanks

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Level 5

Hi, @itsMeTechy,

I imagine, from your question that you deleted and ingested the data one after the other without waiting. In this case, the processes will happen as following:

 

1. The platform will delete all the data from the dataset (generally very fast, few minutes)

2. Ingest all the data from the new dataset, also pretty fast. 

3. Re-evaluate all the profiles in the Profile Snapshot Dataset. As I understood, the data didn't really change, so the profiles will be the same, nevertheless, it does not mean that the profile fragments are going to be the same, thus in order to update the profiles you requiere a dataset evaluation. That takes 24h aprox. Generally, this happens every day at a certain hour depending on your configuration.

 

Also, it might happen that the platform will first delete all the profiles and then, in the next snapshot evaluation it will create them once again. Make sure to first enable a dataset to profile before ingesting all the data, otherwise it won't be qualified as profile data. 

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4 Replies

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Level 8

Hi @itsMeTechy ,

The time required depends on how the data is re-ingested, how the mapping is configured, and the current platform load among other factors. Rebuilding the profiles can take anywhere from a few hours to several days.

You can refer https://experienceleague.adobe.com/en/docs/platform-learn/tutorials/identities/understanding-identit...

Thanks,

Ankit

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Correct answer by
Level 5

Hi, @itsMeTechy,

I imagine, from your question that you deleted and ingested the data one after the other without waiting. In this case, the processes will happen as following:

 

1. The platform will delete all the data from the dataset (generally very fast, few minutes)

2. Ingest all the data from the new dataset, also pretty fast. 

3. Re-evaluate all the profiles in the Profile Snapshot Dataset. As I understood, the data didn't really change, so the profiles will be the same, nevertheless, it does not mean that the profile fragments are going to be the same, thus in order to update the profiles you requiere a dataset evaluation. That takes 24h aprox. Generally, this happens every day at a certain hour depending on your configuration.

 

Also, it might happen that the platform will first delete all the profiles and then, in the next snapshot evaluation it will create them once again. Make sure to first enable a dataset to profile before ingesting all the data, otherwise it won't be qualified as profile data. 

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Hi @itsMeTechy,

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Sukrity Wadhwa

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Level 2

@itsMeTechy 

Based on experience, the safest approach is to re-ingest the data ~24 hours after data deletion.

Why: When you delete a Profile-enabled dataset, AEP removes data from the Profile Store and also updates the Identity Graph. Those two operations aren’t perfectly simultaneous; the graph cleanup can lag. If you delete and re-ingest back-to-back, you can briefly see residual profile fragments (including the old datasetId) stitched to identities. Waiting for the next daily Profile Snapshot lets the platform finish cleanup before you rebuild.

 

Recommended sequence for 1.2M profiles:

  • Delete the source dataset.
  • Wait for the next Profile Snapshot to complete (~24h, time varies per sandbox/tenant).
  • Ensure the target dataset is enabled for Profile before ingesting. If you enable after ingest, you must re-ingest for data to count toward profiles.
  • Re-ingest the 1.2M records (same XDM schema/identity namespaces, confirm merge policy).
  • Profiles will re-stitch; near-real-time lookups can reflect updates quickly, while batch audiences/exports depend on the next daily evaluation/snapshot.