[Feature Request]: Iceberg IO Hash Distribution Mode Support for Spark Based Runners

### What would you like to happen?

In Beam's latest release 2.74.0, Hash Distribution Mode and AutoSharding for ICEBERG IO WRITES were enabled via this [PR 38061](https://github.com/apache/beam/pull/38061).
This PR introduced a new transform WriteToPartitions (file WriteToPartitions.java, new in 2.74.0) and this file uses GroupIntoBatches Transform which is not supported in Spark Runners as Spark Runner does not support **@OnWindowExpiration** annotation (States and Timers) which is why i m unable to use the new feature in Spark Runner.

When i use SparkStructuredStreamingRunner, the code fails at [this line](https://github.com/apache/beam/blob/c01ceeab24c7cae7167dbc08b21529339659094f/runners/spark/src/main/java/org/apache/beam/runners/spark/structuredstreaming/translation/batch/ParDoTranslatorBatch.java#L91)

When i use SparkRunner, the code fails at [this line](https://github.com/apache/beam/blob/c01ceeab24c7cae7167dbc08b21529339659094f/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/TransformTranslator.java#L412)

Is there a workaround or solve for Spark Runner Users to use the "hash" distribution mode with "autoSharding" for Iceberg Writes using Beam.

### Issue Priority

Priority: 2 (default / most feature requests should be filed as P2)

### Issue Components

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