def run_middle_out(self):
relationships = database_helper.get_fk_relationships(
self.__all_tables, self.__source_conn)
order = get_topological_order_by_tables(relationships,
self.__all_tables)
order = list(order)
database_helper.run_query(
f'CREATE SCHEMA IF NOT EXISTS {self.temp_schema}',
self.__destination_conn)
# randomly sample the targets, per their target percentage
targets = compute_targets(config_reader.get_target_table(), order)
print('Beginning subsetting with these direct targets: ' +
str(targets))
start_time = time.time()
for t in targets:
columns_query = self.__columns_to_copy(t, relationships)
q = f'SELECT {columns_query} FROM "{schema_name(t)}"."{table_name(t)}" WHERE random() < {targets[t]/100}'
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q,
table_name(t), schema_name(t))
print(f'Direct target tables completed in {time.time()-start_time}s')
# greedily grab as many downstream rows as the target strata can support
downstream_tables = compute_downstream_tables(
config_reader.get_target_table(), order)
print('Beginning greedy downstream subsetting with these tables: ' +
str(downstream_tables))
start_time = time.time()
processed_tables = set(targets.keys())
for t in downstream_tables:
self.__subset_greedily(t, processed_tables, relationships)
processed_tables.add(t)
print(f'Greedy subsettings completed in {time.time()-start_time}s')
# use subset_via_parents to get all supporting rows according to existing needs
upstream_tables = list(
reversed(
compute_upstream_tables(config_reader.get_target_table(),
order)))
print('Beginning upstream subsetting with these tables: ' +
str(upstream_tables))
start_time = time.time()
for t in upstream_tables:
self.subset_via_parents(t, relationships)
print(f'Upstream subsetting completed in {time.time()-start_time}s')
def run_downward(self, scalePercent):
relationships = database_helper.get_fk_relationships(
self.__all_tables, self.__source_conn)
order = get_topological_order_by_tables(relationships,
self.__all_tables)
order = list(reversed(order))
database_helper.run_query(
'CREATE SCHEMA IF NOT EXISTS {}'.format(self.temp_schema),
self.__destination_conn)
if len(order) == 0:
return
passthrough_tables = self.__get_passthrough_tables(order)
sampled_tables = self.__get_sampled_tables(order, passthrough_tables)
if len(sampled_tables) == 0:
return
for t in sampled_tables:
columns_query = self.__columns_to_copy(t, relationships)
q = 'SELECT {} FROM "{}"."{}" WHERE random() < {}'.format(
columns_query, schema_name(t), table_name(t),
scalePercent / 100)
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q,
table_name(t), schema_name(t))
for t in passthrough_tables:
#copy passthrough tables directly to new database
q = 'SELECT * FROM "{}"."{}"'.format(schema_name(t), table_name(t))
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q,
table_name(t), schema_name(t))
for c in range(1, len(order)):
for t in order[c]:
if t in passthrough_tables:
continue
self.subset_via_parents(t, relationships)
database_helper.run_query(
'DROP SCHEMA IF EXISTS {} CASCADE'.format(self.temp_schema),
self.__destination_conn)
def run_downward(self):
relationships = database_helper.get_fk_relationships(
self.__source_conn)
order = TopoOrderer().get_topological_order_by_tables(relationships)
order = list(reversed(order))
database_helper.run_query(
f'CREATE SCHEMA IF NOT EXISTS {self.temp_schema}',
self.__destination_conn)
if len(order) == 0:
return
passthrough_tables = self.__get_passthrough_tables(order)
sampled_tables = self.__get_sampled_tables(order, passthrough_tables)
if len(sampled_tables) == 0:
return
for t in sampled_tables:
columns_query = self.__columns_to_copy(t, relationships)
q = f'SELECT {columns_query} FROM "{self.schema}"."{t}" WHERE random() < {self.scalePercent/100}'
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q, t,
self.schema)
for t in passthrough_tables:
#copy passthrough tables directly to new database
q = f'SELECT * FROM "{self.schema}"."{t}"'
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q, t,
self.schema)
for c in range(1, len(order)):
for t in order[c]:
if t in passthrough_tables:
continue
self.subset_via_parents(t, relationships)
database_helper.run_query(
f'DROP SCHEMA IF EXISTS {self.temp_schema} CASCADE',
self.__destination_conn)
def run_middle_out(self):
relationships = database_helper.get_fk_relationships(
self.__all_tables, self.__source_conn)
disconnected_tables = compute_disconnected_tables(
config_reader.get_target_table(), self.__all_tables, relationships)
connected_tables = [
table for table in self.__all_tables
if table not in disconnected_tables
]
order = get_topological_order_by_tables(relationships,
connected_tables)
order = list(order)
database_helper.run_query(
'CREATE SCHEMA IF NOT EXISTS {}'.format(self.temp_schema),
self.__destination_conn)
# randomly sample the targets, per their target percentage
targets = compute_targets(config_reader.get_target_table(), order)
print('Beginning subsetting with these direct targets: ' +
str(targets))
start_time = time.time()
for t in targets:
columns_query = self.__columns_to_copy(t, relationships)
q = 'SELECT {} FROM "{}"."{}" WHERE random() < {}'.format(
columns_query, schema_name(t), table_name(t), targets[t] / 100)
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q,
table_name(t), schema_name(t))
print('Direct target tables completed in {}s'.format(time.time() -
start_time))
# greedily grab as many downstream rows as the target strata can support
downstream_tables = compute_downstream_tables(
config_reader.get_target_table(), order)
print('Beginning greedy downstream subsetting with these tables: ' +
str(downstream_tables))
start_time = time.time()
processed_tables = set(targets.keys())
for t in downstream_tables:
self.__subset_greedily(t, processed_tables, relationships)
processed_tables.add(t)
print('Greedy subsettings completed in {}s'.format(time.time() -
start_time))
# use subset_via_parents to get all supporting rows according to existing needs
upstream_tables = list(
reversed(
compute_upstream_tables(config_reader.get_target_table(),
order)))
print('Beginning upstream subsetting with these tables: ' +
str(upstream_tables))
start_time = time.time()
for t in upstream_tables:
self.subset_via_parents(t, relationships)
print('Upstream subsetting completed in {}s'.format(time.time() -
start_time))
# get all the data for tables in disconnected components (i.e. pass those tables through)
print(
"Beginning pass-through of tables disconnected from the main component: "
+ str(disconnected_tables))
start_time = time.time()
for t in disconnected_tables:
q = 'SELECT * FROM "{}"."{}"'.format(schema_name(t), table_name(t))
database_helper.copy_rows(self.__source_conn,
self.__destination_conn, q,
table_name(t), schema_name(t))
print('Disconnected tables completed in {}s'.format(time.time() -
start_time))
# clean out the temp schema
database_helper.run_query(
'DROP SCHEMA IF EXISTS {} CASCADE;'.format(self.temp_schema),
self.__destination_conn)