![]() But in practice a view does or should exist, in which case using that (or creating the view, if needed), with GROUP BY, is pretty natural. Test performance if this is important.įor a one-off, I'd probably use the subselect, if a view of the joined tables didn't already exist. Which to choose? Performance should be comparable, but it's possible a weakness in the query optimizer could lead to one being favored over the other. Project.project_manager, project_status.project_status GROUP BY project.projectID, project.project_title, project.end_date, You'll have to group by all the non-aggregated (in general this will be all the fields you select from your project table), then apply an aggregate function (sum) to your detail attributes (invoice_net and total_order). SQL JOIN, GROUP BY on three tables to get totals (SELECT sum(order.total_order) FROM order WHERE order.projectID = project.projectID) (SELECT sum(invoice.invoice_net) FROM invoice WHERE invoice.projectID = project.projectID), You're select might look something like (untested): SELECT I have to assume they contain a ProjectID attribute. You don't describe the invoice or order tables. You didn't provide sample data or even enough of your DB schema for an answer to provide the exact SQL you need. Select based on order table where x would be the project id from the first select SELECT sum(total_order) Select based on invoice table where x would be the project id from the first select SELECT sum(invoice_net) WHERE project.project_statusID BETWEEN 1 AND 12 ON project.project_statusID=project_status.project_statusID Select based on project table SELECT project.projectID, project.project_title, project.end_date, project.project_manager, project_status.project_status Is it a nested select I need to search for, or another concept? I know how to get all the values individually, however I haven't figured out how to get the Sum value of orders/invoices into the project data row. I have a select statement based on the project table which picks off the fields stored in this table, however I would also like the sum value of invoices for a particular project and the sum value of orders for a particular project. The DB facade provides methods for each type of query: select, update, insert, delete, and statement.I'm working with SQLite and have 3 tables, project, invoice and order. Once you have configured your database connection, you may run queries using the DB facade. It is up to you to decide if this is the desired behavior for your application. This ensures that any data written during the request cycle can be immediately read back from the database during that same request. If the sticky option is enabled and a "write" operation has been performed against the database during the current request cycle, any further "read" operations will use the "write" connection. ![]() The sticky option is an optional value that can be used to allow the immediate reading of records that have been written to the database during the current request cycle. When multiple values exist in the host configuration array, a database host will be randomly chosen for each request. The database credentials, prefix, character set, and all other options in the main mysql array will be shared across both connections. ![]() So, in this case, 192.168.1.1 will be used as the host for the "read" connection, while 192.168.1.3 will be used for the "write" connection. You only need to place items in the read and write arrays if you wish to override the values from the main mysql array. The rest of the database options for the read and write connections will be merged from the main mysql configuration array. The read and write keys have array values containing a single key: host. Note that three keys have been added to the configuration array: read, write and sticky. After the database has been created, you may easily configure your environment variables to point to this database by placing the absolute path to the database in the DB_DATABASE environment variable: You can create a new SQLite database using the touch command in your terminal: touch database/database.sqlite. SQLite databases are contained within a single file on your filesystem. However, you are free to modify your database configuration as needed for your local database. Examples for most of Laravel's supported database systems are provided in this file.īy default, Laravel's sample environment configuration is ready to use with Laravel Sail, which is a Docker configuration for developing Laravel applications on your local machine. ![]() Most of the configuration options within this file are driven by the values of your application's environment variables. In this file, you may define all of your database connections, as well as specify which connection should be used by default. ![]() The configuration for Laravel's database services is located in your application's config/database.php configuration file. ![]()
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