Data Compaction Job

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Over the time iceberg tables could slow down and require to run data compaction to clean up tables. IOMETE provides built-in job to run data compactions for each table. This job triggers the next iceberg processes:

1. ExpireSnapshots Maintenance - Expire Snapshots
2. Delete Orphan Files - See Maintenance - Delete Orphan Files
3. Rewrite Data Files - See Maintenance - Rewrite Data Files
4. Rewrite Manifests - See Maintenance

To enable data compaction spark job follow the next steps:

1. In the left sidebar menu choose Spark Jobs
2. Create new job
3. Fill the form with below values:

Field Name	Value
Schedule (example will run job every Sunday at 12:00, feel free to change the value)	0 12 * * SUN
Docker Image	iomete/iomete_data_compaction:0.2.0
Main application file	local:///app/driver.py
Main class	Leave empty
Instance: Size (ICU) (feel free to increase)	2

See example screenshot below

Github

We've created initial job for data-compaction which will be enough in most cases. Feel free to fork and create new data compaction image based on your company requirements. View in Github