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db-to-sqlite-1.5
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مشاهده بیشترتوضیحات
CLI tool for exporting tables or queries from any SQL database to a SQLite file
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | db-to-sqlite-1.5 |
| نام | db-to-sqlite |
| نسخه کتابخانه | 1.5 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Simon Willison |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://datasette.io/tools/db-to-sqlite |
| آدرس اینترنتی | https://pypi.org/project/db-to-sqlite/ |
| مجوز | Apache License, Version 2.0 |
# db-to-sqlite
[](https://pypi.python.org/pypi/db-to-sqlite)
[](https://github.com/simonw/db-to-sqlite/releases)
[](https://github.com/simonw/db-to-sqlite/actions?query=workflow%3ATest)
[](https://github.com/simonw/db-to-sqlite/blob/main/LICENSE)
CLI tool for exporting tables or queries from any SQL database to a SQLite file.
## Installation
Install from PyPI like so:
pip install db-to-sqlite
If you want to use it with MySQL, you can install the extra dependency like this:
pip install 'db-to-sqlite[mysql]'
Installing the `mysqlclient` library on OS X can be tricky - I've found [this recipe](https://gist.github.com/simonw/90ac0afd204cd0d6d9c3135c3888d116) to work (run that before installing `db-to-sqlite`).
For PostgreSQL, use this:
pip install 'db-to-sqlite[postgresql]'
## Usage
```
Usage: db-to-sqlite [OPTIONS] CONNECTION PATH
Load data from any database into SQLite.
PATH is a path to the SQLite file to create, e.c. /tmp/my_database.db
CONNECTION is a SQLAlchemy connection string, for example:
postgresql://localhost/my_database
postgresql://username:passwd@localhost/my_database
mysql://root@localhost/my_database
mysql://username:passwd@localhost/my_database
More: https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls
Options:
--version Show the version and exit.
--all Detect and copy all tables
--table TEXT Specific tables to copy
--skip TEXT When using --all skip these tables
--redact TEXT... (table, column) pairs to redact with ***
--sql TEXT Optional SQL query to run
--output TEXT Table in which to save --sql query results
--pk TEXT Optional column to use as a primary key
--index-fks / --no-index-fks Should foreign keys have indexes? Default on
-p, --progress Show progress bar
--postgres-schema TEXT PostgreSQL schema to use
--help Show this message and exit.
```
For example, to save the content of the `blog_entry` table from a PostgreSQL database to a local file called `blog.db` you could do this:
db-to-sqlite "postgresql://localhost/myblog" blog.db \
--table=blog_entry
You can specify `--table` more than once.
You can also save the data from all of your tables, effectively creating a SQLite copy of your entire database. Any foreign key relationships will be detected and added to the SQLite database. For example:
db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all
When running `--all` you can specify tables to skip using `--skip`:
db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all \
--skip=django_migrations
If you want to save the results of a custom SQL query, do this:
db-to-sqlite "postgresql://localhost/myblog" output.db \
--output=query_results \
--sql="select id, title, created from blog_entry" \
--pk=id
The `--output` option specifies the table that should contain the results of the query.
## Using db-to-sqlite with PostgreSQL schemas
If the tables you want to copy from your PostgreSQL database aren't in the default schema, you can specify an alternate one with the `--postgres-schema` option:
db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all \
--postgres-schema my_schema
## Using db-to-sqlite with MS SQL
The best way to get the connection string needed for the MS SQL connections below is to use urllib from the Standard Library as below
params = urllib.parse.quote_plus(
"DRIVER={SQL Server Native Client 11.0};"
"SERVER=localhost;"
"DATABASE=my_database;"
"Trusted_Connection=yes;"
)
The above will resolve to
DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes
You can then use the string above in the odbc_connect below
mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes
mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+UID%3Dusername%3B+PWD%3Dpasswd
## Using db-to-sqlite with Heroku Postgres
If you run an application on [Heroku](https://www.heroku.com/) using their [Postgres database product](https://www.heroku.com/postgres), you can use the `heroku config` command to access a compatible connection string:
$ heroku config --app myappname | grep HEROKU_POSTG
HEROKU_POSTGRESQL_OLIVE_URL: postgres://username:password@ec2-xxx-xxx-xxx-x.compute-1.amazonaws.com:5432/dbname
You can pass this to `db-to-sqlite` to create a local SQLite database with the data from your Heroku instance.
You can even do this using a bash one-liner:
$ db-to-sqlite $(heroku config --app myappname | grep HEROKU_POSTG | cut -d: -f 2-) \
/tmp/heroku.db --all -p
1/23: django_migrations
...
17/23: blog_blogmark
[####################################] 100%
...
## Related projects
* [Datasette](https://github.com/simonw/datasette): A tool for exploring and publishing data. Works great with SQLite files generated using `db-to-sqlite`.
* [sqlite-utils](https://github.com/simonw/sqlite-utils): Python CLI utility and library for manipulating SQLite databases.
* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database.
## Development
To set up this tool locally, first checkout the code. Then create a new virtual environment:
cd db-to-sqlite
python3 -m venv venv
source venv/bin/activate
Or if you are using `pipenv`:
pipenv shell
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
This will skip tests against MySQL or PostgreSQL if you do not have their additional dependencies installed.
You can install those extra dependencies like so:
pip install -e '.[test_mysql,test_postgresql]'
You can alternative use `pip install psycopg2-binary` if you cannot install the `psycopg2` dependency used by the `test_postgresql` extra.
See [Running a MySQL server using Homebrew](https://til.simonwillison.net/homebrew/mysql-homebrew) for tips on running the tests against MySQL on macOS, including how to install the `mysqlclient` dependency.
The PostgreSQL and MySQL tests default to expecting to run against servers on localhost. You can use environment variables to point them at different test database servers:
- `MYSQL_TEST_DB_CONNECTION` - defaults to `mysql://root@localhost/test_db_to_sqlite`
- `POSTGRESQL_TEST_DB_CONNECTION` - defaults to `postgresql://localhost/test_db_to_sqlite`
The database you indicate in the environment variable - `test_db_to_sqlite` by default - will be deleted and recreated on every test run.
نیازمندی
| مقدار | نام |
|---|---|
| - | sqlalchemy |
| >=2.9.1 | sqlite-utils |
| - | click |
| - | mysqlclient |
| - | psycopg2 |
| - | pytest |
| - | pytest-timeout |
| - | pytest |
| - | mysqlclient |
| - | pytest |
| - | psycopg2 |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl db-to-sqlite-1.5:
pip install db-to-sqlite-1.5.whl
نصب پکیج tar.gz db-to-sqlite-1.5:
pip install db-to-sqlite-1.5.tar.gz