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| import sys | |
| fname1 = sys.argv[1] | |
| fname2 = sys.argv[2] | |
| first_dict = {} | |
| second_dict = {} | |
| fp1 = open(fname1) | |
| for line in fp1: | |
| items = line.strip().split("\t") | |
| path = items[0] | |
| flow = 0 | |
| if items[1] != "NULL": | |
| flow = int(items[1]) | |
| first_dict.update({path: flow}) | |
| fp1.close() | |
| fp2 = open(fname2) | |
| for line in fp2: | |
| items = line.strip().split("\t") | |
| path = items[0] | |
| flow = 0 | |
| if items[1] != "NULL": | |
| flow = int(items[1]) | |
| second_dict.update({path: flow}) | |
| fp2.close() | |
| ##check | |
| first_keys = set(first_dict.keys()) | |
| second_keys = set(second_dict.keys()) | |
| shared_keys = first_keys & second_keys | |
| first_only_keys = first_keys - second_keys | |
| second_only_keys = second_keys - first_keys | |
| for k in shared_keys: | |
| f_flow = first_dict[k] | |
| s_flow = second_dict[k] | |
| d_flow = s_flow - f_flow | |
| print("{0}\t{1}\t{2}\t{3}".format(k, f_flow, s_flow, d_flow)) | |
| for k in first_only_keys: | |
| f_flow = first_dict[k] | |
| print("{0}\t{1}\t{2}\t{3}".format(k, f_flow, 0, -f_flow)) | |
| for k in second_only_keys: | |
| s_flow = second_dict[k] | |
| print("{0}\t{1}\t{2}\t{3}".format(k, 0, s_flow, s_flow)) |
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该程序的输入为hadoop汇总的结果，格式为：
path\tsum(length)