Default package

Get desktop application:
View/edit binary Protocol Buffers messages

Define a message type representing the rows in your table. The message cannot contain fields which are not present in the table.

• optional string customer_name = 1

• required int64 row_num = 2

  Use the required keyword for client-side validation of required fields.

• string first_name = 1

• string last_name = 2

• int64 age = 3

Define a message type representing the rows in your table. The message cannot contain fields which are not present in the table.

• optional bool bool_col = 1

  The following types map directly between protocol buffers and their corresponding BigQuery data types.

• optional bytes bytes_col = 2

• optional double float64_col = 3

• optional int64 int64_col = 4

• optional string string_col = 5

• optional int32 date_col = 6

  The following data types require some encoding to use. See the documentation for the expected data formats: https://cloud.google.com/bigquery/docs/write-api#data_type_conversion

• optional string datetime_col = 7

• optional string geography_col = 8

• optional string numeric_col = 9

• optional string bignumeric_col = 10

• optional string time_col = 11

• optional int64 timestamp_col = 12

• repeated int64 int64_list = 13

  Use a repeated field to represent a BigQuery ARRAY value.

• optional SampleData.SampleStruct struct_col = 14

  Use a nested message to encode STRUCT and ARRAY<STRUCT> values.

• repeated SampleData.SampleStruct struct_list = 15

• optional SampleData.RangeValue range_date = 16

  Range types, see: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#range_type

• required int64 row_num = 17

  Use the required keyword for client-side validation of required fields.

Used in: SampleData

• optional int32 start = 1

• optional int32 end = 2

Use a nested message to encode STRUCT column values. References to external messages are not allowed. Any message definitions must be nested within the root message representing row data.

Used in: SampleData

• optional int64 sub_int_col = 1