BigData / Apache Parquet Interview Questions
How does Google BigQuery use Parquet-style columnar storage internally?
BigQuery uses Capacitor, its proprietary columnar format, which shares the same fundamental principles as Parquet: columnar layout, aggressive encoding, and embedded statistics. When you export from BigQuery or import into it, Parquet is the preferred external format.
Exporting BigQuery tables to Parquet:
bq extract \
--destination_format PARQUET \
--compression SNAPPY \
myproject:mydataset.mytable \
gs://my-bucket/export/*.parquet
Loading Parquet into BigQuery:
bq load \
--source_format=PARQUET \
myproject:mydataset.newtable \
gs://my-bucket/data/*.parquet
BigQuery can also query external Parquet tables via BigLake without loading — applying its own predicate pushdown against Parquet statistics in GCS.
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