![]() ![]() ![]() Internal query used to get the pivot values: WHERE invoice_."BillingCountry" IN ('USA', 'United Kingdom', 'Canada') SUM(CASE WHEN invoice_."BillingCountry" = 'Canada' THEN invoice_."Total" END) AS "United Kingdom", SUM(CASE WHEN invoice_."BillingCountry" = 'United Kingdom' SUM(CASE WHEN invoice_."BillingCountry" = 'USA' SELECT CAST(strftime('%Y', invoice_."InvoiceDate") AS BIGINT) AS "Year", Stacked bar chart on pivot query with total annual sales in three selected countries. Here is the Annual Sales of Selected Countries demo query, generated under the Queries > Demo Queries > Chinook Tutorial > Crosstab Pivot Queries folder, in results mode:Īnd these are the two generated SQL queries in SQLite: first is an emulated PIVOT query, second was used internally to get the column header values for the cross-table. When Chinook is recognized as current database connection, by its table names, we have dozens of internal demos that can be specifically generated for this samples, in any supported database kind. We’ll be concerned here only with the Chinook Tutorial set, and we will cover the rest at the Employees sample. A popup opens up with all sorts of demo queries that can be automatically generated for you. In Data Xtractor, Visual Xtractor and Query Xtractor, in the Queries – Demo Queries folder, click on add demo queries. Transactions are recorded in the invoice and invoice line tables. billing – the store’s employees sell tracks to customers.Playlists can also group several tracks together. Albums have tracks, grouped by genre or media type. inventory – the database keeps information on albums produced by artists.The database keeps an inventory and tracks the sales from a small music store. There are several other ER model diagram automatically created as well. This Structural Model is automatically generated and open on screen once you connect to a Chinook sample database, from Data Xtractor or Model Xtractor. According to the copyright requirements, a license note is including in any Chinook script coming from this shared work. ![]() The open-source project was originally created by Luis Rocha, with scripts for SQL Server, SQL Server Compact, Oracle, MySQL, PostgreSQL, SQLite, and DB2, using real data from an iTunes library. It’s great for data modeling and many types of queries, including real-time analytics with data visualizations. They are installed by default in the C:/Program Files (x86)/XtractPro//samples setup folder, and replicated to your C:/Users//AppData/Local/Xtractor/samples user directory.Ĭhinook is a medium-size database typical to small businesses. In this tutorial, you have learned how to update data in the SQLite database from a Node.js application.All our products include SQL scripts and database files for the Chinook sample, for all supported database types. ![]() The output showed that one row has been updated which is correct. Row(s) updated: 1 Code language: JavaScript ( javascript ) To execute the UPDATE statement in the Node.js application, you call the run() method of the Database object: db.run(sql, params, function( err)`) To update data in a table, you use the UPDATE statement as follows: UPDATE table_name To update data in the SQLite database from a Node.js application, you use these steps:įor the demonstration, we will use the langs table in the sample.db database that we created in the previous tutorial. Summary: this tutorial shows you how to update data in the SQLite database from a Node.js application. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |