Core: Support Hadoop bulk delete API.#15436
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steveloughran wants to merge 2 commits intoapache:mainfrom
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Core: Support Hadoop bulk delete API.#15436steveloughran wants to merge 2 commits intoapache:mainfrom
steveloughran wants to merge 2 commits intoapache:mainfrom
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Reflection-based used of Hadoop 3.4.1+ BulkDelete API so that S3 object deletions can be done in pages of objects, rather than one at a time. * Configuration option "iceberg.hadoop.bulk.delete.enabled" to switch to bulk deletes.
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There's something else to consider here. Do we need full reflection given the method is available at compile time? Instead, only use the operations if enabled, catch link failures and report better. then there'd be spark tests where 4.0 and 4.1 verify the operation is there, 3.x expect failure when requested. |
Uses the API directly in iceberg-core, which is compiled at hadoop 3.4.3 But this is isolated to one class, org.apache.iceberg.hadoop.BulkDeleter, which is only loaded when bulk delete is enabled with "iceberg.hadoop.bulk.delete.enabled" There's no attempt at a graceful fallback. If it is enabled and not found, bulk delete will fail.
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Reflection-based used of Hadoop 3.4.1+ BulkDelete API so that S3 object deletions can be done in pages of objects, rather than one at a time.
Configuration option "iceberg.hadoop.bulk.delete.enabled" to switch to bulk deletes
This switch is on by default to help test through the spark versions and verify fallback.
In production it might be best if it not only off, but the code changed so if bulk delete wasn't available then there'd be no fallback, just an error "bulk delete requested but not available due to hadoop library too old".