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The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL , PostgreSQL , SQLite , MS Access (map), and Microsoft SQL Server . Data can also be imported from CSV and Tab-Separated files or spreadsheets ( Microsoft Excel , OpenOffice.org Calc , Gumeric , Google Docs ).
Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.
Populate the recordset by opening it and passing the desired table name or SQL statement as a parameter to open function. Do all the desired searching/processing on the fetched data. Commit the changes you made to the data (if any) by using Update or UpdateBatch methods. Close the recordset; Close the connection
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).
Wizard-driven tool for import of data from ODBC-databases; Backup Tool for performing unattended backups. Backups may be compressed and optionally stored as a file-per-table as well as identified with a timestamp. "SQL Scheduler and Reporting Tool" - a tool for scheduling and automating execution of any sequence of SQL statements.
According to a related Microsoft FAQ, [2] "Providers like ADO.NET which can run on top of OLE DB will not support OLE DB once the latter is deprecated", but the same answer in the FAQ states that the original post relates only to the OLE DB provider for SQL Server, so the position of OLE DB itself remains unclear. The same FAQ states that ODBC ...
SQL statements are used to perform tasks such as insert data to a database, delete or update data in a database, or retrieve data from a database. Though database systems use SQL, they also have their own additional proprietary extensions that are usually only used on their system.
A relational database management system uses SQL MERGE (also called upsert) statements to INSERT new records or UPDATE or DELETE existing records depending on whether condition matches. It was officially introduced in the SQL:2003 standard, and expanded [citation needed] in the SQL:2008 standard.