blackhogz commented on a change in pull request #15485:
URL: https://github.com/apache/beam/pull/15485#discussion_r718240426



##########
File path: 
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java
##########
@@ -551,9 +548,9 @@ public static TableRow toTableRow(Row row) {
         return toTableRow((Row) fieldValue);
 
       case DATETIME:
-        return ((Instant) fieldValue)
-            .toDateTime(DateTimeZone.UTC)
-            .toString(BIGQUERY_TIMESTAMP_PRINTER);
+        org.joda.time.Instant jodaInstant = (org.joda.time.Instant) fieldValue;
+        java.time.Instant javaInstant = 
java.time.Instant.ofEpochMilli(jodaInstant.getMillis());
+        return BIGQUERY_TIMESTAMP_PRINTER.format(javaInstant);

Review comment:
       Thanks @TheNeuralBit . I'm working together with @amuletxheart and also 
looking to see if I can be of any help.
   
   With the opt-in flag, would this below approach be a reasonable venue to 
proceed?
   
   - add a `BigQueryIO.Write#allowTruncatedTimestamps()` method for explicit 
opt-in (i.e. default false)
   - pass the value to `BigQueryUtils.toTableRow()` as another parameter at the 
call site 
[here](https://github.com/apache/beam/blob/0111cff88025f0dc783a0890078b769139c8ae36/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L2687),
 and `BigQueryUtils.toTableSchema()` 
[here](https://github.com/apache/beam/blob/0111cff88025f0dc783a0890078b769139c8ae36/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L2690)
   - Update `BigQueryUtils.toTableSchema()` to only accept NanosInstant logical 
type if the `allowTruncatedTimestamps` parameter passed in is true. This should 
reject, i.e. error out, before any rows are processed, i.e. before 
formatFunction is triggered. In fact, with this, I'm thinking we don't even 
need to pass `allowTruncatedTimestamps` to `BigQueryUtils.toTableRow()` any 
more.
   
   Please let us know what do you think? @TheNeuralBit and other maintainers. 
Thanks a lot!




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