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Malicious npm Package Targets Solana Developers and Hijacks Funds
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
Control PostgreSQL using thread(s).
import threadingpg
controller = threadingpg.Controller()
controller.connect(dbname='database_name', user='user_name', password='password', port=5432)
# ...
controller.close()
import threadingpg
controller = threadingpg.Pool(dbname='database_name', user='user_name', password='password', port=5432)
# ...
controller.close()
import threadingpg
class MyTable(threadingpg.Table):
table_name="mytable"
index = threadingpg.Column(data_type=threadingpg.types.serial)
name = threadingpg.Column(data_type=threadingpg.types.varchar())
# or
class MyTable(threadingpg.Table):
def __init__(self) -> None:
self.index = threadingpg.Column(data_type=threadingpg.types.serial)
self.name = threadingpg.Column(data_type=threadingpg.types.varchar())
super().__init__("mytable") # important position
mytable = MyTable()
controller.create_table(mytable)
controller.drop_table(mytable)
class MyRow(threadingpg.Row):
def __init__(self, name:str=None) -> None:
self.name = name
mytable = MyTable()
myrow = MyRow("my_row")
controller.insert_row(mytable, myrow)
# or
controller.insert_dict(mytable, {"name":"my_row"})
mytable = MyTable()
column_name_list, rows = controller.select(mytable)
for row in rows:
myrow = MyRow()
myrow.set_data(column_name_list, row)
print(f"output: {myrow.name}") # output: my_row
mytable = MyTable()
myrow = MyRow("update_my_row")
condition_equal_0 = threadingpg.condition.Equal(mytable.index, 0)
controller.update_row(mytable, myrow, condition_equal_0)
mytable = MyTable()
delete_condition = threadingpg.condition.Equal(mytable.index, 5)
controller.delete_row(mytable, delete_condition)
mytable = MyTable()
condition_equal_1 = threadingpg.condition.Equal(mytable.index, 1)
condition_equal_2 = threadingpg.condition.Equal(mytable.index, 2)
condition_equal_3 = threadingpg.condition.Equal(mytable.index, 3)
conditions = threadingpg.condition.Or(condition_equal_1, condition_equal_2, condition_equal_3)
column_name_list, rows = controller.select(mytable, where=conditions)
mytable = MyTable()
orderby_index = threadingpg.condition.OrderBy(mytable.index)
orderby_name = threadingpg.condition.OrderBy(mytable.name, True)
orderby_conditions = threadingpg.condition.And(orderby_index, orderby_name)
column_name_list, rows = controller.select(mytable, order_by=orderby_conditions)
Need delay each function.
mytable = MyTable()
channel_name = "mych"
trigger_name = "mytr"
function_name = "myfn"
listner = threadingpg.TriggerListner()
# implement 'notify = listner.notify_queue.get()'
listner.connect(dbname=dbname, user=user, password=password, port=5432)
listner.create_function(function_name, channel_name)
listner.create_trigger(mytable, trigger_name, function_name)
listner.start_listening()
listner.listen_channel(channel_name)
# ...
listner.unlisten_channel(channel_name)
listner.stop_listening()
FAQs
Simple control 'psycopg2'(PostgreSQL).
We found that threadingpg demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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