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A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.
Database designers that use a surrogate key as the primary key for every table will run into the occasional scenario where they need to automatically retrieve the database-generated primary key from an SQL INSERT statement for use in other SQL statements. Most systems do not allow SQL INSERT statements to return row data. Therefore, it becomes ...
Plain text files usually contain one record per line. [2]Examples of flat files include /etc/passwd and /etc/group on Unix-like operating systems. Another example of a flat file is a name-and-address list with the fields Name, Address and Phone Number.
Copy the table to a wiki sandbox: In Calc select the table. Copy directly from it, and then paste into the visual editor, or if that does not work, into a blank visual editor table where the first header cell has been selected. It may take up to a minute. If there is a problem, then paste into Excel2Wiki first, and copy the wikitext.
Instead of converting a database dump file to many pieces of static HTML, one can also use a dynamic HTML generator. Browsing a wiki page is just like browsing a Wiki site, but the content is fetched and converted from a local dump file on request from the browser.
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.
What was missing was the SQL parser that could convert those calls from their text form into the C-interface used in Jet. To solve this, MS partnered with PageAhead Software to use their existing query processor, SIMBA. SIMBA was used as a parser above Jet's C library, turning Jet into an SQL database.
In particular, advanced query engines often leverage each orientation's advantages, and convert from one orientation to the other as part of their execution. As an example, an Apache Spark query may read data from Apache Parquet (column-oriented) load it into Spark internal in-memory format (row-oriented)