使用以下命令安装csvkit之后
$ sudo -HE pip install --upgrade -e git+git://github.com/wireservice/csvkit.git@master#egg=csvkit
,并尝试如下导入.csv
:
csvsql --db mysql://root:root@127.0.0.1:3306/jira_test --insert --table bugs_temp --no-constraints --overwrite --create-if-not-exists --no-inference --blanks bugs_temp.csv
我遇到以下错误
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_2".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_3".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_4".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_5".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_6".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_7".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_8".
/usr/local/lib/python2.7/dist-packages/agate/utils.py:292: DuplicateColumnWarning: Column name "0" already exists in Table. Column will be renamed to "0_9".
(in table 'bugs_temp', column 'ESS-3146'): VARCHAR requires a length on dialect mysql
答案 0 :(得分:0)
(此答案可能有些不完整。我没有使用csvsql
的经验,因此我将其作为Wiki。)
depends上的csvkit
agate-sql
,depends上的sqlalchemy
。
sqlalchemy
包含this line of code:
"VARCHAR requires a length on dialect %s" % self.dialect.name
似乎“ 您需要为所有字符串指定长度”,并引用this answer。
这意味着您不能使用--no-constraints
选项:
--no-constraints Generate a schema without length limits or null
checks. Useful when sampling big tables.
请参见https://csvkit.readthedocs.io/en/latest/scripts/csvsql.html