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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]
Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...
Matches the ending position of the string or the position just before a string-ending newline. In line-based tools, it matches the ending position of any line. ( ) Defines a marked subexpression, also called a capturing group, which is essential for extracting the desired part of the text (See also the next entry, \n). BRE mode requires \( \). \n
Character (text, varchar, char) Binary; Date/time (timestamp/time with/without time zone, date, interval) Money; Enum; Bit strings; Text search type; Composite; HStore, an extension enabled key-value store within PostgreSQL [44] Arrays (variable-length and can be of any data type, including text and composite types) up to 1 GB in total storage size
JasperReports is an open source Java reporting tool that can write to a variety of targets, such as: screen, a printer, into PDF, [2] HTML, Microsoft Excel, RTF, ODT, comma-separated values (CSV), XSL, [2] or XML files.
CSV is a delimited text file that uses a comma to separate values (many implementations of CSV import/export tools allow other separators to be used; for example, the use of a "Sep=^" row as the first row in the *.csv file will cause Excel to open the file expecting caret "^" to be the separator instead of comma ","). Simple CSV implementations ...
An SQL select statement and its result. In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data.
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.