def test_get_function_set_2(conn):
clear_database(conn)
with closing(conn.cursor()) as cursor:
entitytype = get_dummy_entitytype(cursor, 42, "dummy_type")
src_datasource = get_dummy_datasource(cursor, 3, "dummy-src-1")
dst_datasource = get_dummy_datasource(cursor, 4, "dummy-src-2")
args = 14, "test_set", [1, 2, 3], [3], 42, 900, 4, entitytype.id, 900, None, []
add_function_set(cursor, *args)
function_set = get_function_set(cursor, 14)
eq_(function_set.name, 'test_set')
def test_get_function_set_2(conn):
with closing(conn.cursor()) as cursor:
reset_db(cursor)
conn.commit()
with closing(conn.cursor()) as cursor:
entitytype = get_dummy_entitytype(cursor, "dummy_type")
src_datasource = get_dummy_datasource(cursor, "dummy-src-1")
dst_datasource = get_dummy_datasource(cursor, "dummy-src-2")
args = ("test_set", "", [1, 2, 3], [src_datasource.id], entitytype.id,
"900", dst_datasource.id, entitytype.id, "900", None, [], None, True)
function_set = add_function_set(cursor, *args)
function_set = get_function_set(cursor, function_set.id)
eq_(function_set.name, 'test_set')
def test_run_hr(conn):
with closing(conn.cursor()) as cursor:
reset_db(cursor)
conn.commit()
source_granularity = create_granularity("900")
dest_granularity = create_granularity("3600")
with closing(conn.cursor()) as cursor:
source_datasource = get_dummy_datasource(cursor, "dummy-src-5")
dest_datasource = get_dummy_datasource(cursor, "dummy-transform-src")
dest_entitytype = get_dummy_entitytype(cursor, "dummy_type_aggregate")
function_mapping = add_function_mapping(cursor, "sum", ["counter_a"], "sum_a")
partition_size = 86400
trendstore_1 = TrendStore3(source_datasource, dest_entitytype,
source_granularity, partition_size, "table")
trendstore_1.create(cursor)
dest_trendstore = TrendStore3(dest_datasource, dest_entitytype,
dest_granularity, partition_size, "table")
dest_trendstore.create(cursor)
function_set_qtr = add_function_set(cursor, "test_set_agg", "",
[function_mapping.id], [source_datasource.id], dest_entitytype.id,
source_granularity.name, dest_datasource.id, dest_entitytype.id,
dest_granularity.name, None, ["entity_id"], None, True)
conn.commit()
transaction = store_modified_at(trendstore_1, source_1_1, modified_a)
transaction.run(conn)
transaction = store_modified_at(trendstore_1, source_1_2, modified_b)
transaction.run(conn)
transaction = store_modified_at(trendstore_1, source_1_3, modified_a)
transaction.run(conn)
transaction = store_modified_at(trendstore_1, source_1_4, modified_a)
transaction.run(conn)
logging.debug("source_1")
logging.debug(unlines(render_datapackage(source_1_1)))
processed_max_modified = None
minerva_context = MinervaContext(conn, conn)
transformation = Transformation(function_set_qtr, dest_timestamp)
transformation.execute(minerva_context)
columns = map(Column, ["entity_id", "sum_a"])
dest_partition = dest_trendstore.partition(dest_timestamp)
result_table = dest_partition.table()
query = result_table.select(columns)
with closing(conn.cursor()) as cursor:
query.execute(cursor)
logging.debug(unlines(render_result(cursor)))
query.execute(cursor)
row = cursor.fetchone()
eq_(row[1], 21)
def test_run(conn):
with closing(conn.cursor()) as cursor:
reset_db(cursor)
conn.commit()
minerva_context = MinervaContext(conn, conn)
source_granularity = create_granularity("900")
dest_granularity = create_granularity("900")
with closing(conn.cursor()) as cursor:
source_datasource_1 = get_dummy_datasource(cursor, "dummy-src-1")
source_datasource_2 = get_dummy_datasource(cursor, "dummy-src-2")
dest_datasource = get_dummy_datasource(cursor, "dummy-transform-src")
entitytype = get_dummy_entitytype(cursor, dummy_type_name)
partition_size = 86400
trendstore_1 = TrendStore(
source_datasource_1, entitytype, source_granularity,
partition_size, "table")
trendstore_1.create(cursor)
trendstore_2 = TrendStore(
source_datasource_2, entitytype, source_granularity,
partition_size, "table")
trendstore_2.create(cursor)
result_trendstore = TrendStore(
dest_datasource, entitytype, dest_granularity, partition_size,
"table")
result_trendstore.create(cursor)
function_mappings = [
add_function_mapping(cursor, None, ["counter_a"], "identity_a"),
add_function_mapping(cursor, None, ["counter_b"], "identity_b"),
add_function_mapping(cursor, None, ["counter_c"], "identity_c"),
add_function_mapping(cursor, "add", ["counter_a", "counter_b"], "add_a_b"),
add_function_mapping(cursor, "multiply", ["counter_a", "300"], "a_times_300")]
function_mapping_ids = [fm.id for fm in function_mappings]
function_set_qtr = add_function_set(cursor, "test_set", "", function_mapping_ids,
[source_datasource_1.id, source_datasource_2.id], entitytype.id, source_granularity.name, dest_datasource.id, entitytype.id,
dest_granularity.name, None, [], None, True)
entities = map(partial(get_or_create_entity, cursor), dns)
conn.commit()
source_1 = create_source_1(source_granularity, entities)
def store_modified_at(trendstore, datapackage, modified):
def set_modified(state):
state["modified"] = modified
partition = trendstore.partition(datapackage.timestamp)
set_modified_action = UpdateState(set_modified)
copy_from = CopyFrom(k(partition), k(datapackage))
return DbTransaction(set_modified_action, copy_from)
transaction = store_modified_at(trendstore_1, source_1, modified_a)
transaction.run(conn)
source_2 = create_source_2(source_granularity, entities)
transaction = store_modified_at(trendstore_2, source_2, modified_a)
transaction.run(conn)
result_partition = result_trendstore.partition(timestamp)
result_table = result_partition.table()
conn.commit()
logging.debug("source_1")
logging.debug(unlines(render_datapackage(source_1)))
logging.debug("source_2")
logging.debug(unlines(render_datapackage(source_2)))
dest_timestamp = timestamp
transformation = Transformation(function_set_qtr, dest_timestamp)
transformation.execute(minerva_context)
columns = map(Column, ["entity_id", "identity_a", "identity_b", "add_a_b", "a_times_300"])
query = result_table.select(columns)
with closing(conn.cursor()) as cursor:
query.execute(cursor)
logging.debug(unlines(render_result(cursor)))
src_table_1 = trendstore_1.partition(timestamp).table()
query = src_table_1.select(Call("max", Column("modified")))
query.execute(cursor)
src1_max_modified = first(cursor.fetchone())
src_table_2 = trendstore_2.partition(timestamp).table()
query = src_table_2.select(Call("max", Column("modified")))
query.execute(cursor)
src2_max_modified = first(cursor.fetchone())
query = modified_table.select(Column("end")).where_(Eq(Column("table_name"), result_table.name))
query.execute(cursor)
query = state_table.select(Column("processed_max_modified")).where_(Eq(Column("function_set_id")))
query.execute(cursor, (function_set_qtr.id,))
processed_max_modified = first(cursor.fetchone())
eq_(max(src1_max_modified, src2_max_modified), processed_max_modified)
def test_run(conn):
clear_database(conn)
plugin = load_plugin()
minerva_context = MinervaContext(conn, conn)
instance = plugin(minerva_context)
job_id = 67
description = {
"function_set_id": 42,
"dest_timestamp": timestamp.isoformat(),
"processed_max_modified": "2012-12-11 14:03:29+01:00"}
config = {}
job = instance.create_job(job_id, description, config)
assert_not_equal(job, None)
dest_granularity = 900
function_mapping_table = Table("transform", "function_mapping")
with closing(conn.cursor()) as cursor:
state_table.truncate().execute(cursor)
function_set_table.truncate(cascade=True).execute(cursor)
source_datasource_1 = get_dummy_datasource(cursor, "dummy-src-1")
source_datasource_2 = get_dummy_datasource(cursor, "dummy-src-2")
dest_datasource = get_dummy_datasource(cursor, "dummy-transform-src")
dest_entitytype = get_dummy_entitytype(cursor, "dummy_type_standard")
function_mapping_table.truncate().execute(cursor)
get_function_mapping(cursor, 1, None, ["counter_a"], "identity_a")
get_function_mapping(cursor, 2, None, ["counter_b"], "identity_b")
get_function_mapping(cursor, 3, None, ["counter_c"], "identity_c")
get_function_mapping(cursor, 4, "add", ["counter_a", "counter_b"], "add_a_b")
get_function_mapping(cursor, 5, "multiply", ["counter_a", "300"], "a_times_300")
get_function_set(cursor, 42, "test_set", [1, 2, 3, 4, 5], [3, 4], 42, 900, 6,
dest_entitytype.id, dest_granularity, None, [], True)
args = 1, "unittest", "transform", ""
add_job_source(cursor, *args)
size = 233
job_source_id = 1
args = job_id, "transform", "", size, "2012-12-11 14:34:00", None, None, None, job_source_id, "running"
add_job(cursor, *args)
args = 42, description["dest_timestamp"], description["processed_max_modified"], "2012-12-11 13:03:00", job_id
add_state(cursor, *args)
table_name = "dummy-src-1_dummy_type_standard_qtr_20121211"
columns = [
Column("entity_id"),
Column("timestamp", type_=SqlType("timestamp with time zone")),
Column("modified", type_=SqlType("timestamp with time zone")),
Column("counter_a"),
Column("counter_b")]
src_table_1 = Table("trend", table_name, columns=columns)
if table_exists(cursor, src_table_1):
src_table_1.drop().execute(cursor)
src_table_1.create().execute(cursor)
entities = map(partial(get_or_create_entity, cursor), dns)
source_1 = create_source_1(entities)
store(cursor, src_table_1, source_1)
table_name = "dummy-src-2_dummy_type_standard_qtr_20121211"
columns = [
Column("entity_id"),
Column("timestamp", type_=SqlType("timestamp with time zone")),
Column("modified", type_=SqlType("timestamp with time zone")),
Column("counter_c")]
src_table_2 = Table("trend", table_name, columns=columns)
if table_exists(cursor, src_table_2):
src_table_2.drop().execute(cursor)
src_table_2.create().execute(cursor)
source_2 = create_source_2(entities)
store(cursor, src_table_2, source_2)
result_table = Table("trend", "dummy-transform-src_dummy_type_standard_qtr_20121211")
if table_exists(cursor, result_table):
result_table.truncate().execute(cursor)
conn.commit()
print("source_1")
print(unlines(render_source(source_1)))
print("source_2")
print(unlines(render_source(source_2)))
job.execute()
columns = map(Column, ["entity_id", "identity_a", "identity_b", "add_a_b", "a_times_300"])
query = result_table.select(columns)
with closing(conn.cursor()) as cursor:
query.execute(cursor, args)
print(unlines(render_result(cursor)))
query = src_table_1.select(Call("max", Column("modified")))
query.execute(cursor)
src1_max_modified = first(cursor.fetchone())
query = src_table_2.select(Call("max", Column("modified")))
query.execute(cursor)
src2_max_modified = first(cursor.fetchone())
query = modified_table.select(Column("end")).where_(Eq(Column("table_name"), result_table.name))
query.execute(cursor)
query = state_table.select(Column("processed_max_modified")).where_(Eq(Column("function_set_id")))
query.execute(cursor, (42,))
processed_max_modified = first(cursor.fetchone())
eq_(max(src1_max_modified, src2_max_modified), processed_max_modified)
def test_run(conn):
clear_database(conn)
plugin = load_plugin()
minerva_context = MinervaContext(conn, conn)
instance = plugin(minerva_context)
job_id = 67
description = {
"function_set_id": 43,
"dest_timestamp": "2012-12-11 13:00:00",
"processed_max_modified": "2012-12-11 13:03:29",
}
config = {}
job = instance.create_job(job_id, description, config)
assert_not_equal(job, None)
dest_granularity = 3600
with closing(conn.cursor()) as cursor:
source_datasource_1 = get_dummy_datasource(cursor, 5, "dummy-src-5")
dest_datasource = get_dummy_datasource(cursor, 6, "dummy-transform-src")
dest_entitytype = get_dummy_entitytype(cursor, 45, "dummy_type_aggregate")
get_function_mapping(cursor, 11, "sum", ["counter_a"], "sum_a")
get_function_set(
cursor, 43, "test_set_agg", [11], [5], 45, 900, 6, dest_entitytype.id, dest_granularity, None, ["entity_id"]
)
args = 1, "unittest", "transform", ""
add_job_source(cursor, *args)
size = 233
job_source_id = 1
args = job_id, "transform", "", size, "2012-12-11 14:34:00", None, None, None, job_source_id, "running"
add_job(cursor, *args)
args = 43, description["dest_timestamp"], description["processed_max_modified"], "2012-12-11 13:03:00", job_id
add_state(cursor, *args)
table_name = "dummy-src-5_dummy_type_aggregate_qtr_20121211"
columns = [
Column("entity_id"),
Column("timestamp", type_=SqlType("timestamp with time zone")),
Column("modified", type_=SqlType("timestamp with time zone")),
Column("counter_a"),
Column("counter_b"),
]
table = Table("trend", table_name, columns=columns)
if table_exists(cursor, table):
table.drop().execute(cursor)
table.create().execute(cursor)
store(cursor, table, source_1)
result_table = Table("trend", "dummy-transform-src_dummy_type_aggregate_hr_20121207")
if table_exists(cursor, result_table):
result_table.truncate().execute(cursor)
conn.commit()
print("source_1")
print("\n".join(render_source(source_1)))
job.execute()
columns = map(Column, ["entity_id", "sum_a"])
query = result_table.select(columns)
with closing(conn.cursor()) as cursor:
query.execute(cursor, args)
print("\n".join(render_result(cursor)))
query.execute(cursor, args)
row = cursor.fetchone()
eq_(row[1], 21)