This tab is context sensitive, which means that depending on what you're looking at, the target of your SQL queries might be different. The SQL tab appears above all pages inside of phpMyAdmin. If you are making significant changes, it is recommended that you make a backup before you begin. Always double check any destructive commands (such as DROP) to make sure it is acting upon the items you intend it to act upon. Trash Bin: Removes the query from the history log.Be careful when executing SQL queries, because it will do whatever you tell it to do (and not necessarily what you want it to do).New Tab (plus icon): Runs the query in a new tab.Edit (pencil icon): Overwrite text in the editor with a query on the selected table.Of particular note is the Actions column, which enables you to do the following: The Query History tab, as the name implies, shows a history of all previously run queries and conveys basic information, such as success/failure, start time, duration, progress (if still running), and so on. The CTAS button is used to materialize a query to a singular table in order to avoid complex joins or aggregations that can affect performance. In the SQL Lab section, select the Allow CREATE TABLE AS field.In order to use this feature, it must be enabled: The Create Table As (CTAS) feature enables you to create a new table based on a SQL query. If you wish to transfer it back to the chart Explore page, just select Explore as described above. From here, you can further refine or change the SQL code. The underlying SQL code of the chart will now appear in the SQL Editor. To do this, from the chart's Explore page, select the triple bar icon and, in the sub-menu, select Run in SQL Lab. You may also wish to view the underlying SQL code of a current chart in the SQL Editor. If you wish to overvwrite an existing dataset, then select the Overwrite existing field, select the drop-down to view and select a dataset or enter a name to search. The chart Explore page appears featuring the newly-saved virtual dataset. In the Save as new field, enter a new name for the virtual dataset, if needed, and then select Save & Explore. The Save or Overwrite Dataset window appears. To use this tool, from the SQL Editor, run a query and view in the Results tab. Alternatively, you can overwrite an existing dataset. ![]() The Explore tool enables you to save your query as a virtual dataset and then continue exploring in the chart Explore page. You should define all the parameters referenced in the query in a valid JSON document. Unsubmitted Query: A query will not even be submitted to the database if it is missing required parameters.You can either modify the query accordingly or remove the column from the query. Bad Reference: A query can fail because it is referencing a column and/or table that no longer exists in the datasource.There are a number of query errors that can occur due to a misalignment between your query and the database. To avoid the accidental selection of Select * From with a table comprised of millions of rows, which could halt the database.Limiting the number of rows prevents long-running queries in the database and,.It is an unnecessary overhead to bring in a lot of data from the database.Queries limit the number of rows that are retrieved from the database.A query could timeout if it did not return values from the database (the default waiting time is 6 hours) or if the web server request timed out.Even if the SQL Editor has several queries, only one query result will be showed (the last one).Some items to keep in mind when running queries in the SQL Editor: ![]()
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