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When data is ingested with the push api, the same time series data must be added to the online store and the offline store (bigquery).
Current Behavior
When calling the Push API with the BigQuery Offline Store, if the timestamp field exists, the pyarrow timestamp unit in the code defaults to us (microsecond).
However, when bigquery load_table is executed, the timestamp column operates in ns (nano second), so the unit is inconsistent.
Because there is a time difference of 1000 times, bigquery actually inputs 1/1000 times the time, so if you put the current time, the old time of the 1970s is entered.
Steps to reproduce
After creating Bigquery Push Source with timestamp field, call Push API (w/ONLINE_AND_OFFLINE).
Specifications
Version:
Platform:
Subsystem: BigQuery
Possible Solution
When converting to pyarrow schema, the time unit is input according to the offline store.
The text was updated successfully, but these errors were encountered:
Expected Behavior
When data is ingested with the push api, the same time series data must be added to the online store and the offline store (bigquery).
Current Behavior
When calling the Push API with the BigQuery Offline Store, if the timestamp field exists, the pyarrow timestamp unit in the code defaults to us (microsecond).
However, when bigquery load_table is executed, the timestamp column operates in ns (nano second), so the unit is inconsistent.
Because there is a time difference of 1000 times, bigquery actually inputs 1/1000 times the time, so if you put the current time, the old time of the 1970s is entered.
Steps to reproduce
After creating Bigquery Push Source with timestamp field, call Push API (w/ONLINE_AND_OFFLINE).
Specifications
Possible Solution
When converting to pyarrow schema, the time unit is input according to the offline store.
The text was updated successfully, but these errors were encountered: