github-actions[bot] closed issue #8809: Make iceberg an idempotent sink for
Spark like delta lake
URL: https://github.com/apache/iceberg/issues/8809
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to t
github-actions[bot] commented on issue #8809:
URL: https://github.com/apache/iceberg/issues/8809#issuecomment-2401026895
This issue has been closed because it has not received any activity in the
last 14 days since being marked as 'stale'
--
This is an automated message from the Apache Gi
github-actions[bot] commented on issue #8809:
URL: https://github.com/apache/iceberg/issues/8809#issuecomment-2367034174
This issue has been automatically marked as stale because it has been open
for 180 days with no activity. It will be closed in next 14 days if no further
activity occurs.
paulpaul1076 commented on issue #8809:
URL: https://github.com/apache/iceberg/issues/8809#issuecomment-1759723529
@RussellSpitzer provided this code which achieves the same:
```
foreachBatch (batch_df, batch_id) => {
val lastBatch =
Spark3Util.loadIcebergTable(spark,"db.timezo
paulpaul1076 opened a new issue, #8809:
URL: https://github.com/apache/iceberg/issues/8809
### Feature Request / Improvement
Delta lake has an interesting feature which you can read about here:
https://docs.delta.io/latest/delta-streaming.html#idempotent-table-writes-in-foreachbatch
