# Structural differences and limitations with the Spark SDK

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**Required license:** Professional or Enterprise license.

Not available on Tonic Structural Cloud.
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## No automatic sensitivity scans

For a Spark SDK workspace, Structural does not automatically run sensitivity scans. You must [run the sensitivity scan manually](https://docs.tonic.ai/app/generation/identify-sensitive-data/running-the-structural-sensitivity-scan#sensitivity-scan-manual) or [set up scheduled sensitivity scans](https://docs.tonic.ai/app/generation/identify-sensitive-data/running-the-structural-sensitivity-scan#sensitivity-scan-schedule).

## No workspace inheritance <a href="#spark-sdk-tonic-differences-workspace-inheritance" id="spark-sdk-tonic-differences-workspace-inheritance"></a>

Spark SDK workspaces do not support workspace inheritance.

## Table mode limitations <a href="#spark-sdk-tonic-differences-table-modes" id="spark-sdk-tonic-differences-table-modes"></a>

You can only assign the De-Identify or Truncate table modes.

For Truncate mode, the table is ignored completely. The table does not exist in the destination database.

## Generator limitations <a href="#spark-sdk-tonic-differences-generators" id="spark-sdk-tonic-differences-generators"></a>

Spark SDK workspaces only support the following generators:

* Address
* Categorical
* Character Scramble
* Company Name
* Constant
* Continuous
* Custom Categorical
* Date Truncation
* Email
* HIPAA Address
* Integer Key
* JSON Mask
* MAC Address
* Name
* Noise Generator
* Null
* Random Hash
* Random Integer
* Random UUID
* Regex Mask
* SSN
* Struct Mask
* Timestamp Shift Generator
* UUID Key

## No subsetting <a href="#spark-sdk-tonic-differences-subsetting" id="spark-sdk-tonic-differences-subsetting"></a>

Spark SDK workspaces do not support subsetting.

## No upsert <a href="#spark-sdk-tonic-differences-upsert" id="spark-sdk-tonic-differences-upsert"></a>

Spark SDK workspaces do not support upsert.

## No output to a container repository <a href="#spark-sdk-tonic-limitations-containerization" id="spark-sdk-tonic-limitations-containerization"></a>

For Spark SDK workspaces, you cannot write the destination data to a container repository.