Feature/9086 task offload sites parquetduckdb refresh to aws batch to reduce api service memory usage - #275
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utas-raymondng
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Sep 8, 2026
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Please kindly review comments
| id="refresh_task", | ||
| name="Repository data refresh task", | ||
| self._reload_task, | ||
| trigger=CronTrigger(hour="*/2", minute="0"), # Every 2 hours, on the hour |
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Is this the job of the batch scheduler rather than this app ?
| f""" | ||
| CREATE OR REPLACE TABLE {quote_ident(self.table)} AS | ||
| SELECT * FROM read_parquet('{self.backup_dataset}') | ||
| SELECT * FROM read_parquet('{self.snapshot_dataset}') |
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You should do
db.execute("INSTALL httpfs; LOAD httpfs;")
in your duckdb client init if you want to read s3 fast.
Also please use, duckdb can use a few optimization method internally to speed up the query
f"""
CREATE OR REPLACE VIEW {quote_ident(self.table)} AS
SELECT * FROM read_parquet('{self.snapshot_dataset}')
"""
in case the speed is not fast enough with single file parquet you should consider using partition hive and generate the parquet with time partition
…to feature/9086-task-offload-sites-parquetduckdb-refresh-to-aws-batch-to-reduce-api-service-memory-usage
…_dataset to reduce memory usage
utas-raymondng
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Sep 8, 2026
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There are few minor things that needs to address with another PR
| table = "test_mooring" | ||
| bucket = "test-bucket" | ||
| backup_bucket = "test-backup" | ||
| snapshot_bucket = "test-snapshot" |
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If this is test only setting you should put it in config-dev.yaml or config-test.yaml
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Offload the heavy Parquet DuckDB load for mooring/wave-buoy sites data from the this project to batch job, so the service only does a cheap reload from an S3 snapshot instead of the full heavy read.