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In today's blog, we learned how to construct and execute a SELECT query to fetch data from multiple databases using Navicat Premium's SQL Editor. You can be the results that there are actors who are stored in the A - L table, while some originate from the M - Z table: We'll SELECT actors whose IDs are between a certain range: Now that we know how to query two tables at a time, let's try out a similar query on our actors table. If you don't need to JOIN the tables on a common field, you can combine multiple SELECTs using the UNION operator: JOIN database2.table1 AS T2 ON T1.id = T2.id You can JOIN tables just as you normally would just be sure to fully qualify the table names by prepending the database name: The database prefix can also be employed to combine different databases within one SELECT statement's table list, as specified after the FROM keyword. db_name.tbl_name, to specify a database explicitly. Just as you can refer to a table within the default database as tbl_name in your SELECT statements, you can also prefix the table name with the database name, e.g. Here is their layout in the Navicat object pane: That will allow us to combine the two groups of names into one result set. I've created copies of the actors table and split its contents down the middle, so that names starting with A to L are in the first database and names starting with M to Z are in the other. As it happens, I've got a few copies of the Sakila Sample Database. We'll be needing a couple of tables, each within their own database. In today's blog, we'll learn how to construct and execute a SELECT query that will fetch data from multiple databases using navicat Premium's SQL Editor. Navicat is also compatible with most cloud databases, including Amazon RDS, Amazon Aurora, Amazon Redshift, Microsoft Azure, Oracle Cloud, Google Cloud, Alibaba Cloud, Tencent Cloud, MongoDB Atlas and Huawei Cloud. It's a database development, administration and management tool that allows you to simultaneously connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases.

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Doing so is made a lot easier by software that can accommodate multiple database connections. With Master-Slave topologies and modern practices such as Database sharding becoming increasingly ubiquitous, database administrators (DBAs) and developers are working with multiple databases more than ever before.

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