def test_store_alter_column(conn, dataset):
partition_size = 86400
trendstore = TrendStore(dataset.datasource, dataset.entitytype, dataset.granularity,
partition_size, "table")
with closing(conn.cursor()) as cursor:
trendstore.create(cursor)
conn.commit()
timestamp = dataset.datasource.tzinfo.localize(
datetime.datetime(2013, 4, 25, 11, 00))
trends = ["a", "b", "c"]
rows = [
(1234, [1, 2, 3]),
(2345, [4, 5, 6])]
datapackage = DataPackage(dataset.granularity, timestamp, trends, rows)
transaction = trendstore.store(datapackage)
transaction.run(conn)
table = trendstore.partition(timestamp).table()
condition = And(
Eq(Column("entity_id"), 2345),
Eq(Column("timestamp"), timestamp))
query = table.select(Column("c")).where_(condition)
with closing(conn.cursor()) as cursor:
query.execute(cursor)
c, = cursor.fetchone()
eq_(c, 6)
trends = ["a", "b", "c"]
rows = [
(2345, [4, 5, "2013-04-25 11:00:00"])]
datapackage = DataPackage(dataset.granularity, timestamp, trends, rows)
transaction = trendstore.store(datapackage)
transaction.run(conn)
with closing(conn.cursor()) as cursor:
query.execute(cursor)
c, = cursor.fetchone()
eq_(c, datetime.datetime(2013, 4, 25, 11, 0, 0))
class NormalSet(DataSet):
def load(self, cursor):
entitytype = name_to_entitytype(cursor, "materialize_dummytype001")
self.datasource = name_to_datasource(cursor,
"materialize_src_normal001")
view_datasource = name_to_datasource(cursor, "vmaterialize_normal001")
granularity = create_granularity('900')
self.timestamp = self.datasource.tzinfo.localize(
datetime.datetime(2013, 8, 26, 22, 0, 0))
trend_names = ["cntr"]
rows_small = [
(1234, (55,)),
(1235, (56,))]
self.small_datapackage = DataPackage(granularity, self.timestamp,
trend_names, rows_small)
rows_large = [
(1234, (55243444334,)),
(1235, (56242343242,))]
self.large_datapackage = DataPackage(granularity, self.timestamp,
trend_names, rows_large)
self.trendstore = TrendStore(self.datasource, entitytype, granularity,
86400, 'table')
self.trendstore.create(cursor)
partition = self.trendstore.partition(self.timestamp)
partition.create(cursor)
self.trendstore.check_columns_exist(trend_names, ["smallint"])(cursor)
modified = self.datasource.tzinfo.localize(datetime.datetime.now())
store_copy_from(cursor, partition.table(), self.small_datapackage,
modified)
mark_modified(cursor, partition.table(), self.timestamp, modified)
view_trendstore = TrendStore(view_datasource, entitytype, granularity,
0, 'view').create(cursor)
sql = (
"SELECT "
"entity_id, "
"timestamp, "
'cntr FROM {}').format(self.trendstore.base_table().render())
self.view = View(view_trendstore, sql).define(cursor).create(cursor)
def update_type(self, cursor):
self.trendstore.clear_timestamp(self.timestamp)(cursor)
names = ["cntr"]
types = ["bigint"]
self.trendstore.check_column_types(names, types)(cursor)
partition = self.trendstore.partition(self.timestamp)
modified = self.datasource.tzinfo.localize(datetime.datetime.now())
store_copy_from(cursor, partition.table(), self.large_datapackage,
modified)
def test_create_trendstore(conn, dataset):
partition_size = 3600
trendstore = TrendStore(dataset.datasource, dataset.entitytype,
dataset.granularity, partition_size, "table")
with closing(conn.cursor()) as cursor:
trendstore.create(cursor)
assert isinstance(trendstore, TrendStore)
assert trendstore.id is not None
def create_trendstore(self, datasource, entitytype, granularity):
partition_size = PARTITION_SIZES[str(granularity)]
trendstore = TrendStore(datasource, entitytype, granularity,
partition_size, 'table')
with closing(self.conn.cursor()) as cursor:
return trendstore.create(cursor)
def test_create_trendstore_with_children(conn, dataset):
partition_size = 3600
trendstore = TrendStore(dataset.datasource, dataset.entitytype,
dataset.granularity, partition_size, "table")
with closing(conn.cursor()) as cursor:
trendstore.create(cursor)
assert trendstore.id is not None
timestamp = dataset.datasource.tzinfo.localize(
datetime.datetime(2013, 5, 6, 14, 45))
partition = trendstore.partition(timestamp)
partition.create(cursor)
def test_check_column_types(self):
granularity = create_granularity("900")
partition_size = 3600
trendstore = TrendStore(self.datasource, self.entitytype, granularity, partition_size, "table")
with closing(self.conn.cursor()) as cursor:
trendstore.create(cursor)
column_names = ["counter1", "counter2"]
initial_data_types = ["smallint", "smallint"]
data_types = ["integer", "text"]
check_columns_exist = trendstore.check_columns_exist(column_names, initial_data_types)
check_columns_exist(cursor)
check_column_types = trendstore.check_column_types(column_names, data_types)
check_column_types(cursor)
def test_store_copy_from_missing_column(conn, dataset):
partition_size = 86400
trendstore = TrendStore(dataset.datasource, dataset.entitytype, dataset.granularity,
partition_size, "table")
with closing(conn.cursor()) as cursor:
trendstore.create(cursor)
conn.commit()
timestamp = dataset.datasource.tzinfo.localize(
datetime.datetime(2013, 4, 25, 9, 45))
trends = ["a", "b", "c"]
def make_row_x(index):
return (1234 + index, [1, 2, 3 + index])
rows = map(make_row_x, range(100))
datapackage = DataPackage(dataset.granularity, timestamp, trends, rows)
transaction = trendstore.store(datapackage)
transaction.run(conn)
# Store second part with one column extra
timestamp = dataset.datasource.tzinfo.localize(
datetime.datetime(2013, 4, 25, 10, 00))
trends = ["a", "b", "c", "d"]
def make_row_y(index):
return (1234 + index, [1, 2, 3, 4 + index])
rows = map(make_row_y, range(100))
datapackage = DataPackage(dataset.granularity, timestamp, trends, rows)
transaction = trendstore.store(datapackage)
transaction.run(conn)
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)
