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  1. Preface
  2. Part 1: Introduction to Google BigQuery connectors
  3. Part 2: Data Integration with Google BigQuery V2 Connector
  4. Part 3: Data Integration with Google BigQuery Connector

Google BigQuery Connectors

Google BigQuery Connectors

Google BigQuery and transformation data types

Google BigQuery and transformation data types

The following table describes the data types that
Data Integration
supports for Google BigQuery sources and targets:
Google BigQuery Data Type
Transformation Data Type
Range and Description for the Transformation Data Type
BOOLEAN
String
1 to 104,857,600 characters.
Boolean True or False values.
Default precision is 5.
DATE
Date/Time
Date values. Google BigQuery Connector uses the following format:
DD-MM-YYYY
Minimum value: 1/1/1970
Maximum value: 30/12/9999
Precision 29, scale 9
DATETIME
Date/Time
Jan 1, 0001 A.D. to Dec 31, 9999 A.D.
(precision to the nanosecond)
Default precision 29, scale 9
Google BigQuery Connector supports YYYY format for the year.
FLOAT
Double
Precision 15, scale 0
INTEGER
BigInt
-9,223,372,036,854,775,808 to 9,223,372,036,854,775,807
Precision 19, scale 0
RECORD
String
1 to 104,857,600 characters
Default precision is 255. You can increase the value up to 104857600 characters.
NUMERIC
Decimal
Default precision 28, scale 10
Though the Fields tab shows the scale as 10, Google BigQuery supports scale upto 9.
STRING
String
1 to 104,857,600 characters
Default precision is 255. You can increase the value up to 104857600 characters.
BYTE
Byte
1 to 104,857,600 bytes
TIME
Date/Time
Time values.
(precision to the nanosecond)
Precision 29, scale 9
TIMESTAMP
Date/Time
Jan 1, 0001 A.D. to Dec 31, 9999 A.D.
(precision to the nanosecond)
Precision 29, scale 9
Google BigQuery Connector supports YYYY format for the year.
When you write data of the Timestamp data type from a Google BigQuery source object, certain Timestamp values written to the target show a difference by a few milliseconds from the value in the source.

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