Petr ee70da86c3 Stream BQ results to Parquet instead of loading into memory ... Replace to_arrow() (loads entire result into RAM) with to_arrow_iterable() (streams RecordBatches). Each batch is written directly to disk via ParquetWriter - constant memory regardless of table size. Prevents OOM on 8GB server for multi-million row tables.		2026-03-11 20:13:03 +01:00
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__init__.py	Add BigQuery data source adapter	2026-03-11 13:56:12 +01:00
adapter.py	Stream BQ results to Parquet instead of loading into memory	2026-03-11 20:13:03 +01:00
client.py	Stream BQ results to Parquet instead of loading into memory	2026-03-11 20:13:03 +01:00