How to Create a Table in BigQuery
Last updated July 26, 2026 · By the SaturnSQL team
CREATE TABLE defines columns; add PARTITION BY on a DATE column so time-filtered queries scan less data. BigQuery bills by bytes scanned, so this directly cuts cost.
CREATE TABLE analytics.events
(
event_id STRING,
event_time TIMESTAMP,
event_date DATE,
user_id INT64,
event_type STRING
)
PARTITION BY event_date;Why partitioning matters for cost
BigQuery charges per byte scanned, not per query. Without a partition column, a query for last week's events still scans every row ever inserted. With PARTITION BY event_date and a filter like WHERE event_date >= '2026-07-19', it only reads that week's partitions.
Clustering for extra pruning
CLUSTER BY sorts data within each partition by the given columns, which helps queries that filter or aggregate on high-cardinality fields like user_id.
CREATE TABLE analytics.events
(
event_id STRING,
event_time TIMESTAMP,
event_date DATE,
user_id INT64,
event_type STRING
)
PARTITION BY event_date
CLUSTER BY user_id;Run this in SaturnSQL
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