BigQuery to Postgre execution failed on Dataflow workflow timestamp - postgresql

Question

Hi have this issue where am unsure how to get a proper start date for my query, I get the following error and am unsure how to go about fixing it. Can I get help on the time conversion format please?
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Workflow failed. Causes: S01:QueryTableStdSQL+Writing to DB/ParDo(_WriteToRelationalDBFn) failed., BigQuery execution failed., Error:
Message: No matching signature for operator >= for argument types: TIMESTAMP, INT64. Supported signature: ANY >= ANY at [1:1241]
HTTP Code: 400
My script main query looks like:
with beam.Pipeline(options=options) as p:
rows = p | 'QueryTableStdSQL' >> beam.io.Read(beam.io.BigQuerySource(use_standard_sql=True,
query = 'SELECT \
billing_account_id, \
service.id as service_id, \
service.description as service_description, \
sku.id as sku_id, \
sku.description as sku_description, \
usage_start_time, \
usage_end_time, \
project.id as project_id, \
project.name as project_description, \
TO_JSON_STRING(project.labels) \
as project_labels, \
project.ancestry_numbers \
as project_ancestry_numbers, \
TO_JSON_STRING(labels) as labels, \
TO_JSON_STRING(system_labels) as system_labels, \
location.location as location_location, \
location.country as location_country, \
location.region as location_region, \
location.zone as location_zone, \
export_time, \
cost, \
currency, \
currency_conversion_rate, \
usage.amount as usage_amount, \
usage.unit as usage_unit, \
usage.amount_in_pricing_units as \
usage_amount_in_pricing_units, \
usage.pricing_unit as usage_pricing_unit, \
TO_JSON_STRING(credits) as credits, \
invoice.month as invoice_month, \
cost_type, \
FROM `pprodjectID.bill_usage.gcp_billing_export_v1_xxxxxxxx` \
WHERE export_time >= 2020-01-01'))
source_config = relational_db.SourceConfiguration(
The date format on bigquery console
export_time
2018-01-25 01:18:55.637 UTC
usage_start_time
2018-01-24 21:23:10.643 UTC

Answer 1

You forgot to include as a string the time
WHERE export_time >= 2020-01-01
The above results Calc: 0+2020-01-01=2018 you should have
WHERE export_time >= "2020-01-01"