我无法让 BigQuery 从 avro 文件正确加载时间戳。
avro 文件的日期列存储时间很长，逻辑类型为 timestamp-micros。根据文档，BigQuery 应将其存储为时间戳数据类型。我也尝试过 timestamp-millis 的逻辑类型。
数据存储在 avro 中，如下所示：
{'id': '<masked>', '<masked>': '<masked>', 'tm': 1553990400000, '<masked>': <masked>, '<masked>': <masked>, 'created': 1597056958864}
字段tm和created分别是 longs，2019-03-31T00:00:00Z和2020-08-10T11:50:58.986816592Z。
avro 的架构是
{"type":"record","name":"SomeMessage","namespace":"com.df",
"fields":
[{"name":"id","type":"string"},
{"name":"<masked>","type":"string"},
{"name":"tm","type":"long","logicalType":"timestamp-micros"},
{"name":"<masked>","type":"int"},
{"name":"<masked>","type":"float"},
{"name":"created","type":"long","logicalType":"timestamp-micros"}]}";
通过bq load导入 BigQuery 时，记录最终如下所示：
<masked> <masked> tm <masked> <masked> created
________________________________________________________________________________________________________
<masked> | <masked> | 1970-01-18 23:39:50.400 UTC | <masked> | <masked> | 1970-01-19 11:37:36.958864 UTC
________________________________________________________________________________________________________
使用的导入命令是：
bq load --source_format=AVRO --use_avro_logical_types some_dataset.some_table "gs://some-bucket/some.avro"
BigQuery 中的时间戳与 avro 中提供的实际值相去甚远。
有人对如何正确执行此操作有任何想法吗？