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应伯尼的要求，我试图将其浓缩为一个更简单的例子：

我有一个 CSV 文件，其中包含一个月份，其中星期几是列标题：

Monday,Tuesday,Wednesday,Thursday,Friday,Saturday,Sunday
1,2,3,4,5,6,7
8,9,10,11,12,13,14
15,16,17,18,19,20,21
22,23,24,25,26,27,28

在命令行中，我创建了一个 SQLite 表，天数：

sqlite> CREATE TABLE days(
   ...> Monday int,
   ...> Tuesday int,
   ...> Wednesday int,
   ...> Thursday int,
   ...> Friday int,
   ...> Saturday int,
   ...> Sunday int
   ...> );

尝试从 csv 导入数据时，我得到以下信息：

sqlite> .import example.csv days
Error: example.csv line 1: expected 7 columns of data but found 1

如何将此 csv 文件导入数据库，以便识别每个新行？谢谢！

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3 回答 3

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在执行 .import 命令之前，您需要包含以下行：

.separator ,

这告诉导入命令查找分隔符（在本例中为逗号）。

您可以在此处找到有关 sqlite 命令行命令的更多信息：http ://www.sqlite.org/sqlite.html

于 2013-07-14T16:43:47.563 回答
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SQLite shell 相当繁琐。当前版本不包含行标题，其行为在标准 (RFC 4180) 和常见做法之间存在差异。即将发布的 3.8 版本将包含行标题。

由于您使用的是 Python，您可能会发现APSW Shell很有用（披露：我是作者）。您可以像 SQLite shell 一样从命令行使用它，也可以通过编程方式使用它，包括添加您自己的命令。

值得注意的是，它有一个自动导入命令，可以计算出所有内容，包括标题、分隔符、数据类型等。

sqlite> .help autoimport

.autoimport FILENAME ?TABLE?  Imports filename creating a table and
                              automatically working out separators and data
                              types (alternative to .import command)

The import command requires that you precisely pre-setup the table and schema,
and set the data separators (eg commas or tabs).  In many cases this information
can be automatically deduced from the file contents which is what this command
does.  There must be at least two columns and two rows.

If the table is not specified then the basename of the file will be used.

Additionally the type of the contents of each column is also deduced - for
example if it is a number or date.  Empty values are turned into nulls.  Dates
are normalized into YYYY-MM-DD format and DateTime are normalized into ISO8601
format to allow easy sorting and searching.  4 digit years must be used to
detect dates.  US (swapped day and month) versus rest of the world is also
detected providing there is at least one value that resolves the ambiguity.

Care is taken to ensure that columns looking like numbers are only treated as
numbers if they do not have unnecessary leading zeroes or plus signs.  This is
to avoid treating phone numbers and similar number like strings as integers.

This command can take quite some time on large files as they are effectively
imported twice.  The first time is to determine the format and the types for
each column while the second pass actually imports the data.
于 2013-07-15T03:54:14.730 回答
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查看 termsql，它是为类似目的而设计的工具。有了它，您的任务将非常轻松。

手册：http ://tobimensch.github.io/termsql/

检查页面底部的示例。那里有一个用于 CSV 导入，并检查不同的选项是什么。

项目：https ://github.com/tobimensch/termsql

于 2014-12-03T01:38:01.277 回答