def test_timestamp_filter_millisecond_granularity(self):
from google.cloud.bigtable import row_filters
end = datetime.datetime.now()
start = end - datetime.timedelta(minutes=60)
timestamp_range = row_filters.TimestampRange(start=start, end=end)
timefilter = row_filters.TimestampRangeFilter(timestamp_range)
row_data = self._table.read_rows(filter_=timefilter)
row_data.consume_all()
def filter_limit_timestamp_range(project_id, instance_id, table_id):
client = bigtable.Client(project=project_id, admin=True)
instance = client.instance(instance_id)
table = instance.table(table_id)
end = datetime.datetime(2019, 5, 1)
rows = table.read_rows(filter_=row_filters.TimestampRangeFilter(
row_filters.TimestampRange(end=end)))
for row in rows:
print_row(row)
def _TimestampToFilter(self, timestamp):
if timestamp == data_store.DataStore.ALL_TIMESTAMPS:
return None
if timestamp is None or timestamp == data_store.DataStore.NEWEST_TIMESTAMP:
# Latest value only
return row_filters.CellsColumnLimitFilter(1)
if isinstance(timestamp, tuple):
return row_filters.TimestampRangeFilter(
self._TimestampRangeFromTuple(timestamp))
raise data_store.Error("Invalid timestamp specification: %s." % timestamp)
