![]() See Section 5.14 for a description of the general mechanism behind this. To drop a schema including all contained objects, use: To drop a schema if it's empty (all objects in it have been dropped), use: So to create a table in the new schema, use: If you write a database name, it must be the same as the database you are connected to. tableĬan be used too, but at present this is just for pro forma compliance with the SQL standard. (For brevity we will speak of tables only, but the same ideas apply to other kinds of named objects, such as types and functions.)Īctually, the even more general syntax database. This works anywhere a table name is expected, including the table modification commands and the data access commands discussed in the following chapters. To create or access objects in a schema, write a qualified name consisting of the schema name and table name separated by a dot: schema. The editor can filter and sort the column values.To create a schema, use the CREATE SCHEMA command. Using DbSchema you can open and edit Gbyte large CSV files. Creating new collections or fields using DbSchema will implement the schema validation rules in the database.ĭbSchema can import the data into the database from various formats, like CSV, XLSX, XLS, and XML files. ![]() The virtual foreign keys are saved to the model file and not implemented in the database.ĭbSchema can visualize the MongoDB databases as diagrams, implement validation rules, write native MongoDB queries, and explore the data. They are used for the design and by the Data Explorer or Query Builder. If the database lacks foreign keys, you can create virtual foreign keys. The engine allows to automate all kinds of processes, like schema reverse-engineer or schema deployment, generate HTML5 documentation, execute database queries, etc. Compare the schema model with any database, merge the differences in the model or commit them in the database, or generate SQL diff scripts.ĭbSchema includes a Java Groovy script engine, which can execute Java scripts with access to DbSchema API. The DbSchema model holds its image of the schema, separate from the database. The sheets can be run on a stand-alone server. The designer can create dynamic HTML pages where you can combine charts, master-details tables and input fields. The editor can automate different DbSchema processes using Java Groovy scripts, with access to DbSchema API.ĭbSchema includes a flexible reports designer for the Web. The SQL Editor features syntax highlighting and text auto-completion, query & script execution, graphical explain plan. The random data generator can generate test data using predefined patterns and reverse regular expressions. Testing software or queries may require a large volume of test data. If you have less experience with SQL, you may use the Visual Query Builder to compose queries with different joins, filters, grouping, and ordering. Exploring data in one table will show the matching records in the cascading tables. The design can be converted to a physical design by applying data type and naming conversions.Įxplore and edit the data from multiple tables based on foreign keys or virtual foreign keys. ![]() The conceptual and logical designs are database-independent and can use many-to-many, one-to-one relationships. The documentation is using an interactive diagram image, where you can read the comments as mouse-over tooltips. Using DbSchema, you can organize the tables in multiple layouts, add comments, and generate HTML5 or PDF documentation. Even if you are not an SQL expert, you will be able to create new tables, columns, or foreign keys, explore the data from multiple tables, create reports or generate test data.Ĭomplex databases need good documentation. Using DbSchema, you will interact with the database using the mouse. Visual tools can help developers, database administrators, and decision-makers to query, explore and manage the data.ĭbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google, and more. DbSchema is a universal database designer for out-of-the-box schema management and documentation, sharing the schema in the team, and deploying on different databases.
0 Comments
Leave a Reply. |