在表中转换多个值时,我遇到了一个奇怪的问题。
我有一个数据的table,如下所示:
+-------------+--------------+-------------+
| id | name | category_id |
+=============+==============+=============+
| 1 | Horse | 5 |
+-------------+--------------+-------------+
| 2 | Cow | 5 |
+-------------+--------------+-------------+
| 3 | Pig | 2 |
+-------------+--------------+-------------+
| 4 | Chicken | 3 |
+-------------+--------------+-------------+然后我发现category_id是这样的:
# find the item category id
items_cat_id = etl.values(table, 'category_id')然后像这样循环数据,以便将上面的category_id转换为目标类别id:
for item in items_cat_id:
"""
fetch target mongo collection.
source_name is the category name to look up in the target,
if we get a match convert the table category_id value to
the mongo id.
"""
target_category_id = target_db.collection.find_one({ 'name': source_name })
converted_table = etl.convert(table, 'category_id',
lambda _: target_category_id.get('_id'),
where=lambda x: x.category_id == item)我似乎只得到了这个:
+-------------+--------------+-----------------------------+
| id | name | category_id |
+=============+==============+=============================+
| 1 | Horse | 5 |
+-------------+--------------+-----------------------------+
| 2 | Cow | 5 |
+-------------+--------------+-----------------------------+
| 3 | Pig | 2 |
+-------------+--------------+-----------------------------+
| 4 | Chicken | QnicP3f4njL54HRqu |
+-------------+--------------+-----------------------------+当它应该是
+-------------+--------------+-----------------------------+
| id | name | category_id |
+=============+==============+=============================+
| 1 | Horse | 5 |
+-------------+--------------+-----------------------------+
| 2 | Cow | 5 |
+-------------+--------------+-----------------------------+
| 3 | Pig | yrDku5Yqkc2MKZZkD |
+-------------+--------------+-----------------------------+
| 4 | Chicken | QnicP3f4njL54HRqu |
+-------------+--------------+-----------------------------+有什么建议吗?
发布于 2019-12-19 20:55:22
etl.convert()在items_cat_id上创建一个新表,每次迭代都来自同一个未更改的源table。因此,在每个结果中只更改一行。修改代码如下:
for x in y:
table = etl.convert(table, ...)现在你总是在处理最后的结果。
https://stackoverflow.com/questions/47083575
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