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#Sqlite command line script install
#Sqlite command line script password
#Sqlite command line script series
#Sqlite command line script download

gz, then the database can be restored with the following command: Rsync -a /path/to/redmine/files /path/to/backup/filesįor example if you have a gziped dump file with the name. usr/bin/mysqldump -u -p | gzip > /path/to/backup/db/redmine_`date +%Y-%m-%d`.gz Here is a simple shell script that can be used for daily backups (assuming you're using a MySQL database): Be sure to check the setting in config/configuration.yml to avoid making a useless backup. WARNING: attachments_storage_path may point to a different directory other than files/. You can copy the contents of this directory to another location to easily back it up. Backing up attachments ¶Īll file uploads are stored in attachments_storage_path (defaults to the files/ directory). You can determine the file name of SQLite database by looking at config/database.yml. SQLite databases are all contained in a single file, so you can back them up by copying the file to another location.

#Sqlite command line script password

The pg_dump command will prompt you to enter the password when necessary. may not be required depending on your installation of the database. You can find, , and in the file config/database.yml. usr/bin/pg_dump -U -h -Fc -file=redmine.sqlc The pg_dump command can be used to backup the contents of a PostgreSQL database to a text file. You can find, ,, and in the file config/database.yml. usr/bin/mysqldump -u -p -h > /path/to/backup/db/redmine.sql The mysqldump command can be used to backup the contents of your MySQL database to a text file.

Attachments (stored in the files directory under the installation directory by default).

#Sqlite command line script download

or just download Qsqlite.py to your pythonista file directory, and then run it.

#Sqlite command line script install

on pythonista, using stash, and then: pip3 install qsqlite, and then you can using it on stash by enter: qsqlite.Summary: With sqlite's powerful sql syntax and high performance, Qsqlite hopes to enable you to efficiently use the power of sqlite and sql syntax to quickly organize, analyze, aggregation, and show result and collaborate with Excel by exporting/importing csv files when needed to achieve greater efficiency.

#Sqlite command line script series

A python libray Can be imported using: from Qsqlite import Qexec, for use in python or jupyter/ipython ipynb notebooks using Qexec(cmds) calls, cmds can be a string with newlines,including a series of commands or a command.

Job server can be defined by scripts to achieve regular data cleaning, data aggregation, analysis, report generation, and output as local files or send emails to share the results.

The web server can be scripted to enable data query and data insertion operations to facilitate the interaction of data statistics and analysis results in a browser-based.

A Web Server and Job Server that can provide web or scheduled task processing backend services based on a database.

The graphs are saved inline in the output html file, so that only a single html file can be sent to show all the graphs in their entirety.

Support for formatting the output syntax of select results, to facilitate the generation of formatted reports.

Support extended loop/lend with nested support for loop statements, which is convenient for some operations that can't be handled by sql statements.

Provides sql statement-based scripting capabilities, allowing you to automate batch operations and output the results to an html file.

A script interpreter that can write script files to batch and automate a series of operations to achieve data processing, analysis, and report output.

Provide a series of extended sqlite functions, supporting regular operations, text-based sum operations, Chinese ID recognition, and other extended functions.

Draw graphs with the data obtained by select statement, such as: scatter, line, histogram (distribution), violin graph (based on data distribution).

Load csv or json data, or export select results to csv file.

Support sqlite and sqlite memory database (:memory:), support mysql database, copy whole mysql database to sqlite, copy tables between different sqlite databases.

General sqlite operations (just like the sqlite cmd tools) can be easily manipulated using sql statements.

A command line tool to interactively manipulate sqlite or mysql databases for fast data processing, analysis, statistics, and graphical presentation.