Overall, the organization is straightforward. One downside of this client is that it is specific to PostgreSQL, making it less likely to be useful on the next project. You’ll have syntax highlighting and autocompletion of table and column names, making it easy to crank out queries. For example, navigating to a table generates a query for the first 1,000 items by default. I found it to be less of a database viewer and more of a query building tool. If you are mostly looking to write queries, SQLPro for Postgres could be a great fit. Support for multiple database management systems: I just want one client for all of my projects.Content and structure: Shows me what I need to know.Navigation: Easy to switch between tables and queries.To save you the trouble of downloading and testing them for yourself, I’m going to walk through of a few of the best. After experimenting with a few database clients (SQLPro, Postico, and TablePlus), we quickly noticed that some are better for our needs than others. On my current project, we’re constantly investigating data, switching from table to table, and writing queries with our PostgreSQL database. Please feel free to raise issues or submit PRs on the MultiQuery GitHub site.When development relies on database interaction, few things are more frustrating than a database client that gets in the way. they could be totally different database schemas, but all have an “Audit” table that has “AuditType” and “AuditDate” columns). They don’t even have to have the same schema they just need query compatibility (i.e. This is a useful utility if you need to run a query against multiple databases. In theory, you could run an UPDATE or DELETE query if you used an account with too much access – and you should ensure you don’t deploy this into a situation where it could be accessed by an unauthorised user and used to siphon out large volumes of personal data. read-only access to non-sensitive data) to ensure the tool is not used to export personal information, sensitive data, or change the data in the database. You should use a SQL account with limited permissions (i.e. The input and output files Least privilege The output file will have a column for each of the fields in the field list, plus an extra one to tell you the data source for each row. In the above example the drive letter is c. The only argument to pass to mq is the drive letter. ![]() The input file goes in c:\Temp\mq\input.json and the output.csv gets written to the same location (you can set a different drive letter if you wish, see below). The query configuration is just a simple JSON file that takes the SQL query, the target fields, and a list of connection strings. I haven’t tested how far you can stretch this in terms of volumes of data, but it worked for my scenario. The records are yielded back as enumerable data, which means the rows fly out straight into the file without having to load all records into memory at once. Under the hood, it uses plain old connections and commands. NET 6 app, called MultiQuery, that takes in a query configuration and aggregates the data from all databases into a single CSV output file. The application had an install per customer but an occasional requirement to query the whole dataset.Īfter manually getting data from each of these databases once, the next time I needed the data, I decided it was time to apply some automation. ![]() The schema was very similar across all the databases, but each database was on a virtual machine on the network and had its own data. I was working on an issue where I needed to get data from about twenty database instances.
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