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Varchar fields can be of any size up to a limit, which varies by databases: an Oracle 11g database has a limit of 4000 bytes, [1] a MySQL 5.7 database has a limit of 65,535 bytes (for the entire row) [2] and Microsoft SQL Server 2008 has a limit of 8000 bytes (unless varchar(max) is used, which has a maximum storage capacity of 2 gigabytes).
Reserved words in SQL and related products In SQL:2023 [3] In IBM Db2 13 [4] In Mimer SQL 11.0 [5] In MySQL 8.0 [6] In Oracle Database 23c [7] In PostgreSQL 16 [1] In Microsoft SQL Server 2022 [2]
Paste any list (text and/or numbers) into Excel2Wiki. Click "convert". Copy and paste the table wikitext into the wikitext editor. Save. Do further editing in VE. For example; add more columns, or copy the column and paste it into other tables.
Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. [5]
LAMP—Linux Apache MySQL Perl; LAMP—Linux Apache MySQL PHP; LAMP—Linux Apache MySQL Python; LAN—Local Area Network; LBA—Logical Block Addressing; LB—Load Balancer; LCD—Liquid Crystal Display; LCR—Least Cost Routing; LCOS—Liquid Crystal On Silicon; LDAP—Lightweight Directory Access Protocol; LE—Logical Extents; LED—Light ...
Note (3): "For other than InnoDB storage engines, MySQL Server parses and ignores the FOREIGN KEY and REFERENCES syntax in CREATE TABLE statements. The CHECK clause is parsed but ignored by all storage engines." [73] Note (4): Support for Unicode is new in version 10.0. Note (5): MySQL provides GUI interface through MySQL Workbench.
Because both orientations represent the same data, it is possible to convert a row-oriented dataset to a column-oriented dataset and vice versa at the expense of compute. In particular, advanced query engines often leverage each orientation's advantages, and convert from one orientation to the other as part of their execution.
In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)