Building and analyzing queries are tasks common to both database administrators (DBAs) and developers. The processes can take up a substantial portion of an individual’s time.
However, there are ways to be more productive while reducing the complexity of supporting multi-platform environments.
Editing and analyzing queries make up a large part of a database team’s responsibilities. Whether developing new code, testing alternate techniques, or troubleshooting performance issues, the ability to efficiently analyze queries is essential.
Aqua Data Studio is a robust, yet cost-effective solution for editing queries and analyzing their undertaking query analysis.
Query Analyzer allows developers to connect to a supported database platform and take advantage of its enhanced functionality to edit and analyze queries. The Query Analyzer takes the place of a database vendor’s command-line interface and lets users directly enter and execute queries. The features that streamline the process of editing queries include:
- Customizable syntax-highlighting;
- Advanced scripting charts;
- Statement formatting;
- Source code beautification;
- Server and client-side comments.
Using Aqua Data Studio’s source control clients, the differences between current edits and a source control repository are displayed immediately while code is being typed. The flexibility of the tool is demonstrated by the variety of ways query results can be displayed. The formats available include:
- Formatted text results which are cleared after each query is executed;
- Oracle DBMS_OUTPUT which uses the Oracle facility for printing messages from a query;
- Grid results which can be sorted, searched, saved, and printed;
- Pivot grid results;
- Execution plans that can be displayed with detailed statistics regarding the statements execution cost;
- Client statistics that display execution statistics for the given statement or script.
Once you have executed a query, the results can be saved in a variety of formats for later use or pasted into another window or application. The choices of data formats include:
- Delimited data saved as a series of delimited data rows;
- A series of INSERT SQL statements;
- XML documents;
- HTML documents;
- Excel worksheets.
The versatility of the Query Analyzer gives database teams a powerful method of investigating queries as they are being developed to avoid errors and improve team productivity.
Building queries is another activity regularly practiced by database developers. They need tools that facilitate this endeavor and streamline the process. Once again, Aqua Data Studio fits the bill by providing versatile and powerful query building capabilities.
The Visual Query Builder is designed to simplify SQL query building with the ability to drag and drop multiple tables, views, and their columns to generate SQL statements. The intelligent interface bases the SQL statements it creates on the current database schema, tables, views, and columns. It offers a time-saving and efficient method of building queries across the database environment.
Once connected to a data source, the Visual Query Builder provides an intuitive interface that simplifies the process of developing complex queries. The tool uses query SELECT decks as the basis for query building which gives developers a large degree of freedom for rearranging statement elements within a query. Multi-database queries can be created for platforms, like MySQL and SQL Server, that support them.
Work can be saved in Query Builder files so they can be shared with other users. Combined with the Query Analyzer, the Visual Query Builder gives a database team the necessary tools to ensure their SQL statements are efficient and effective.
Unified Multi-Platform Support
The multi-platform nature of Aqua Data Studio makes the functionality of its query analyzing and building tools even more impressive. Support for over 40 database platforms from a unified platform greatly improves productivity for the whole team. This means that there is only one tool to learn and reduces the need for swapping tools to address multiple databases.
In addition to its use in building and analyzing queries, Aqua Data Studio provides teams with other productivity-enhancing features. The tool can be used to reverse engineer databases to create entity-relationship (ER) diagrams.
Connecting to the diverse supported databases enables DBAs to perform many management tasks across platforms from a single tool. Data visualizations and dashboards can be developed to help communicate the insights contained in enterprise data to all stakeholders. It’s a great tool for database teams working in multi-platform environments.