Created
May 9, 2022 03:57
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| import time | |
| from queue import Queue | |
| from threading import Thread | |
| table_list = [ | |
| "table1", | |
| "table2", | |
| "table3", | |
| "table4", | |
| "table5", | |
| "table6", | |
| "table7", | |
| "table8", | |
| "table9", | |
| "table10", | |
| ] | |
| q = Queue() | |
| num_of_parallel_tasks = 4 | |
| for table in table_list: | |
| q.put(table) | |
| def load_table(table): | |
| print(f"Loading {table}") | |
| time.sleep(10) | |
| # Write your spark code here | |
| print(f"{table} loaded") | |
| def run_tasks(function, q): | |
| while not q.empty(): | |
| value = q.get() | |
| function(value) | |
| q.task_done() | |
| for i in range(num_of_parallel_tasks): | |
| t = Thread(target=run_tasks, args=(load_table, q)) | |
| t.daemon = True | |
| t.start() | |
| q.join() |
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