Revision 3924
Added by Aaron Marcuse-Kubitza over 12 years ago
join | ||
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22 | 22 |
+sys.argv[0]+' <map_0 map_1 [| '+sys.argv[0]+' map_2]... >out_map') |
23 | 23 |
|
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only_one = opts.env_flag('only_one', False, env_names) |
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# Uses only columns 0 and 1 of map_1 |
|
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map_1_core_only = opts.env_flag('map_1_core_only', False, env_names) |
|
25 | 27 |
# Turns off "No input mapping" errors |
26 | 28 |
quiet = opts.env_flag('quiet', False, env_names) |
27 | 29 |
try: _prog_name, map_1_path = sys.argv |
... | ... | |
33 | 35 |
reader = csv.reader(stream) |
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map_1_cols = reader.next() |
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for row in reader: |
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if map_1_core_only: row = row[:2] |
|
36 | 39 |
if row[0] != '': map_1.setdefault(row[0], []).append(row) |
37 | 40 |
stream.close() |
38 | 41 |
|
Also available in: Unified diff
join: Added map_1_core_only option that uses only columns 0 and 1 of map_1. This is useful for one-time refactoring joins where the Source column, mappings comments, etc. shouldn't be part of the datasource's via map (although they will be part of the autogenerated VegBIEN map)