Merge pull request #1894 from atlassian/issue/dev/ECO-1034_limit-number-of-threads-crowd-prepare-data

Use same number of threads as number of cores for data preparation

Author: vkavalenka80

app/util/api/crowd_clients.py

@@ -71,7 +71,7 @@ def search_users(i):
             return loop_users
 
         num_cores = cpu_count()
-        pool = ThreadPool(processes=num_cores*2)
+        pool = ThreadPool(processes=num_cores)
         loop_users_list = pool.map(search_users, [i for i in range(loop_count)])
         print("")  # new line
         users = [user for loop_users in loop_users_list for user in loop_users]