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Support setting logicalTypes in scema, e.g.:
var floatAvroSchema = avro.MustParseSchema(`{ "type": "record", "name": "FloatRecord", "fields": [ { "name": "time", "type": "long", "logicalType": "timestamp-micros"}, { "name": "value", "type": "double"} ] }`)
Cutrrently, when parsed, the "logicalType" key is dropped, as there is no field for it in SchemaField.
"logicalType"
SchemaField
This is useful e.g. when importing data to Google BigQuery with --use_avro_logical_types: https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-avro#logical_types
--use_avro_logical_types
The text was updated successfully, but these errors were encountered:
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Support setting logicalTypes in scema, e.g.:
Cutrrently, when parsed, the
"logicalType"
key is dropped, as there is no field for it inSchemaField
.This is useful e.g. when importing data to Google BigQuery with
--use_avro_logical_types
:https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-avro#logical_types
The text was updated successfully, but these errors were encountered: