Open Source App For Casual Data Exploration In Sql

Open Source App For Casual Data Exploration In Sql

Import your data from CSV, Excel, Microsoft SQL Server, PostgreSQL, and MySQL. Then use a Jupyter-style notebook interface for exploraGrosir Notebook Medan Harga Notebook Medan tory queries, and write stored

procedures for reusable logic. SQL Notebook is powered by an extended SQLite

engine, supporting both standard SQL queries and SQL Notebook-specific commands and functions.

Download SQL Notebook


2022-05-07 – Version 1.2.0 is released. Choosing column types during CSV/XLS import has been improved

with optional auto-detection and Toko Notebook Medan Jual Notebook Medan the ability to change types for multiple selected columns at once. Non-public

schemas in PostgreSQL can now be imported.

2022-03-04 – Version 1.1.0 is released. This version includes SQLite 3.38 providing improved JSON functionality. New

functions for cryptographic hashes, fuzzy matching, and statistical aggregates from Anton Zhiyanov’s sqlean library are now built-in. Additional SQLite

extensions can be loaded with the load_extension function.

2021-12-16 – Version 1.0.1 is released. This release adds support for Windows 7 and 8.

2021-12-13 – SQL Notebook version 1.0.0 has been released. This is the first stable release. All aspects

of SQL Notebook have been improved compared to version 0.6.0.

Easily import and export data

CSV and Excel files can be imported into the notebook as local tables. A graphical import wizard and

IMPORT script commands are both available.

Microsoft SQL Server, PostgreSQL, and MySQL tables can be linked into the notebook and queried interchangeably

with local tables. Create a live, real-time link to the server for access to up-to-date data, or copy a snapshot of

the data into your notebook for faster queries.

Tables and scripts can be exported in CSV format.

Run quick queries or write sophisticated scripts

SQL Notebook offers three user interfaces for running SQL queries: pages, scripts, and the console.

Pages offer a simple notebook interface, combining documentation and executable

code in the same document. Each page contains a series of query and text blocks. Use query blocks to run exploratory

SQL queries, embedding the results on the page. Use text blocks to document your findings. When your data changes,

re-execute all query blocks at the push of a button.

Scripts are akin to stored

procedures in other SQL databases. Write a series of SQL queries to be executed in order, with support for local

variables, parameters, throwing and catching errors, and imperative control flow. Execute your script standalone by

pressing F5, or call it from another halaman or script using EXECUTE.

The console is available for quick throwaway queries at any time by pressing Ctrl+` (that’s the

backtick or tilde key). It collapses to a tab at the bottom of the window. Console results are not saved.

Use familiar programming constructs

Users with prior SQL or other programming language experience will feel right at home in SQL Notebook. The

integrated SQLite engine provides support for standard SQL queries like SELECT and INSERT. SQL

Notebook adds additional procedural programming elements similar to those found in T-SQL and PL/pgSQL, such as DECLARE and EXECUTE.

SELECTCASEWHEN value % 3 = 0 AND value % 5 = 0THEN ‘FizzBuzz’WHEN value % 3 = 0THEN ‘Fizz’WHEN value % lima = 0THEN ‘Buzz’ELSE valueENDFROM GENERATE_SERIES(1, 100);

Distributor Notebook Medan Learn more in the documentation:

Variables: DECLARE • SET

Control flow: IF • FOR •


Error handling: THROW • TRY

Stored procedures: EXECUTE

Access a rich library of built-in functionality

SQL Notebook is a “batteries included” solution to everyday data analysis needs. A wide variety of functionality

is immediately available out of the box. SQL Notebook provides additional commands and functions for data exploration

beyond those provided by SQLite.

— Parse CSV and other types of files on-the-fly

SELECT * FROM READ_CSV(‘C:\MyData.csv’);

— Import data files into new or existing tables

IMPORT XLS ‘C:\Workbook.xls’ WORKSHEET ‘Sheet2’ INTO my_table;

— Manipulate dates and times with familiar built-in functions

SELECT *, DATEADD(‘day’, -1, date_col) AS previous_day FROM my_table;

— Access the filesystem

SELECT filename FROM LIST_FILES(‘C:\’) WHERE extension IN (‘.csv’, ‘.xls’);

Learn more in the documentation:

Full-featured import and export statements: IMPORT CSV •


Quick functions for reading files: LIST_FILES • READ_CSV • READ_FILE •


Date and time handling: DATEPART • DATEADD • DATEDIFF • GETDATE



Extensive application help is just an “F1” away

A fully searchable in-application help system is ready to answer your questions. Press F1 to view the index of

help documents, or enter a keyword into the “Search Help” box in the upper-right corner of the SQL Notebook window.

Both SQLite and SQL Notebook documentation is included. Every available statement and function is documented.

The documentation is also available online.

It’s free!

SQL Notebook is open source perangkat lunak available free of charge under the popular MIT license. For more information,

open the Help sajian and click the “License information” menu item.

Download SQL Notebook now!

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