BigQuery Types
The BigQuery destination (v3.0.0 and later) supports most Apache Arrow (opens in a new tab) types. The following table shows the supported types and how they are mapped to BigQuery data types (opens in a new tab).
| Arrow Column Type | Supported? | BigQuery Type |
|---|---|---|
| Binary | ✅ Yes | BYTES |
| Boolean | ✅ Yes | BOOL |
| Date32 | ✅ Yes | DATE |
| Date64 | ✅ Yes | DATE |
| Decimal | ❌ No | |
| Dense Union | ❌ No | |
| Dictionary | ❌ No | |
| Duration[ms] | ✅ Yes | INT64 |
| Duration[ns] | ✅ Yes | INT64 |
| Duration[s] | ✅ Yes | INT64 |
| Duration[us] | ✅ Yes | INT64 |
| Fixed Size List | ❌ No | |
| Float16 | ❌ No | |
| Float32 | ✅ Yes | FLOAT64 |
| Float64 | ✅ Yes | FLOAT64 |
| Inet | ✅ Yes | STRING |
| Int8 | ✅ Yes | INT64 |
| Int16 | ✅ Yes | INT64 |
| Int32 | ✅ Yes | INT64 |
| Int64 | ✅ Yes | INT64 |
| Interval[DayTime] | ✅ Yes | RECORD<days: INT64, milliseconds: INT64> |
| Interval[MonthDayNano] | ✅ Yes | RECORD<months: INT64, days: int64, nanoseconds: int64> |
| Interval[Month] | ✅ Yes | RECORD<months: INT64> |
| JSON | ✅ Yes | JSON |
| Large Binary | ✅ Yes | BYTES |
| Large List | ❌ No | |
| Large String | ✅ Yes | STRING |
| List | ✅ Yes | (Repeated column) † |
| MAC | ✅ Yes | STRING |
| Map | ❌ No | |
| String | ✅ Yes | STRING |
| Struct | ✅ Yes | RECORD |
| Timestamp[ms] | ✅ Yes | TIMESTAMP |
| Timestamp[ns] | ✅ Yes | RECORD<timestamp: TIMESTAMP, nanoseconds: INT64> |
| Timestamp[s] | ✅ Yes | TIMESTAMP |
| Timestamp[us] | ✅ Yes | TIMESTAMP |
| UUID | ✅ Yes | STRING |
| Uint8 | ✅ Yes | INT64 |
| Uint16 | ✅ Yes | INT64 |
| Uint32 | ✅ Yes | INT64 |
| Uint64 | ✅ Yes | NUMERIC |
| Union | ❌ No |
Notes
† Repeated columns in BigQuery do not support null values. Right now, if an array contains null values, these null values will be dropped when writing to BigQuery. Also, because we use REPEATED columns to represent lists, lists of lists are not supported right now.
