def test_store_raw_fractured_small(conn):
plugin = TrendPlugin(conn)
with closing(conn.cursor()) as cursor:
clear_database(cursor)
datasource = name_to_datasource(cursor, "test_source002")
conn.commit()
granularity = 3600
timestamp = "2012-04-19T11:00:00"
trend_names_part_1 = ["PART1_COUNTER1", "PART1_COUNTER2", "PART1_COUNTER3"]
raw_data_rows = [
("Network=dummy,Subnetwork=test,Element=1", ("1", "2", "3"))
]
plugin.store_raw(datasource, granularity, timestamp,
trend_names_part_1, raw_data_rows)
trend_names_part_2 = ["PART2_COUNTER1", "PART2_COUNTER2", "PART2_COUNTER3"]
raw_data_rows = [
("Network=dummy,Subnetwork=test,Element=1", ("4", "5", "6"))
]
plugin.store_raw(datasource, granularity, timestamp,
trend_names_part_2, raw_data_rows)
def test_store_raw_fractured_large(conn):
plugin = TrendPlugin(conn)
with closing(conn.cursor()) as cursor:
clear_database(cursor)
datasource = name_to_datasource(cursor, "test_source003")
conn.commit()
granularity = 3600
timestamp = "2012-04-19T11:00:00"
trend_names_part_1 = ["PART1_COUNTER1", "PART1_COUNTER2", "PART1_COUNTER3"]
dn_template = "Network=dummy,Subnetwork=test,Element={}"
raw_data_rows_part_1 = [(dn_template.format(i), ("1", "2", "3"))
for i in range(100)]
plugin.store_raw(datasource, granularity, timestamp,
trend_names_part_1, raw_data_rows_part_1)
trend_names_part_2 = ["PART2_COUNTER1", "PART2_COUNTER2", "PART2_COUNTER3"]
raw_data_rows_part_2 = [(dn_template.format(i), ("4", "5", "6"))
for i in range(100)]
plugin.store_raw(datasource, granularity, timestamp,
trend_names_part_2, raw_data_rows_part_2)
def test_store_raw1(conn):
plugin = TrendPlugin(conn)
with closing(conn.cursor()) as cursor:
clear_database(cursor)
datasource = name_to_datasource(cursor, "test_source001")
conn.commit()
granularity = 3600
timestamp = "2012-04-19T11:00:00"
trend_names = ["COUNTER1", "COUNTER2", "COUNTER3"]
rows = [
("Network=dummy,Subnetwork=test,Element=1", ("1", "2", "3"))
]
plugin.store_raw(datasource, granularity, timestamp, trend_names,
rows)