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GROUP BY (SQL)
A GROUP BY statement in SQL specifies that a SQL SELECT statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group. The result of a query using a GROUP BY statement contains one row for each group. This implies constraints on the columns that can appear in the associated SELECT clause. As a general rule, the SELECT clause may only contain columns with a unique value per group. This includes columns that appear in the GROUP BY clause as well as aggregates resulting in one value per group. Examples Returns a list of Department IDs along with the sum of their sales for the date of January 1, 2000. SELECT DeptID, SUM(SaleAmount) FROM Sales WHERE SaleDate = '01-Jan-2000' GROUP BY DeptID In the following example one can ask "How many ''units'' were sold in each ''region'' for every ''ship date?''": The following code returns the data of the above pi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Select (SQL)
The SQL SELECT statement returns a result set of rows, from one or more tables. A SELECT statement retrieves zero or more rows from one or more database tables or database views. In most applications, SELECT is the most commonly used data manipulation language (DML) command. As SQL is a declarative programming language, SELECT queries specify a result set, but do not specify how to calculate it. The database translates the query into a " query plan" which may vary between executions, database versions and database software. This functionality is called the " query optimizer" as it is responsible for finding the best possible execution plan for the query, within applicable constraints. The SELECT statement has many optional clauses: * SELECT list is the list of columns or SQL expressions to be returned by the query. This is approximately the relational algebra projection operation. * AS optionally provides an alias for each column or expression in the SELECT list. Thi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Aggregate Function
In database management, an aggregate function or aggregation function is a function where multiple values are processed together to form a single summary statistic. Common aggregate functions include: * Average (i.e., arithmetic mean) * Count * Maximum * Median * Minimum * Mode * Range * Sum Others include: * Nanmean (mean ignoring NaN values, also known as "nil" or "null") * Stddev Formally, an aggregate function takes as input a set, a multiset (bag), or a list from some input domain and outputs an element of an output domain . The input and output domains may be the same, such as for SUM, or may be different, such as for COUNT. Aggregate functions occur commonly in numerous programming languages, in spreadsheets, and in relational algebra. The listagg function, as defined in the SQL:2016 standard aggregates data from multiple rows into a single concatenated string. In the entity relationship diagram, aggregation is represented as seen in Figure 1 with a rectang ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Pivot Table
A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other statistics. A pivot table is the outcome of the statistical processing of tabularized raw data and can be used for decision-making. Although ''pivot table'' is a generic term, Microsoft held a trademark on the term in the United States from 1994 to 2020. History In their book ''Pivot Table Data Crunching'', Bill Jelen and Mike Alexander refer to Pito Salas as the "father of pivot tables". While working on a concept for a new program that would eventually become Lotus Improv, Salas noted that spreadsheets have patterns of data. A tool that could help the user recognize these patterns would help to build advanced data models quickly. With ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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1999
1999 was designated as the International Year of Older Persons. Events January * January 1 – The euro currency is established and the European Central Bank assumes its full powers. * January 3 – The Mars Polar Lander is launched by NASA. * January 25 – The 6.2 1999 Colombia earthquake, Colombia earthquake hits western Colombia, killing at least 1,900 people. February * February 7 – Abdullah II of Jordan, Abdullah II inherits the throne of Jordan, following the death of his father King Hussein of Jordan, Hussein. * February 11 – Pluto moves along its eccentric orbit further from the Sun than Neptune. It had been nearer than Neptune since 1979, and will become again in 23rd century, 2231. * February 12 – U.S. President Bill Clinton is acquitted in Impeachment of Bill Clinton, impeachment proceedings in the United States Senate. * February 16 ** In Uzbekistan, an apparent 1999 Tashkent bombings, assassination attempt against President Isl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Aggregate Function
In database management, an aggregate function or aggregation function is a function where multiple values are processed together to form a single summary statistic. Common aggregate functions include: * Average (i.e., arithmetic mean) * Count * Maximum * Median * Minimum * Mode * Range * Sum Others include: * Nanmean (mean ignoring NaN values, also known as "nil" or "null") * Stddev Formally, an aggregate function takes as input a set, a multiset (bag), or a list from some input domain and outputs an element of an output domain . The input and output domains may be the same, such as for SUM, or may be different, such as for COUNT. Aggregate functions occur commonly in numerous programming languages, in spreadsheets, and in relational algebra. The listagg function, as defined in the SQL:2016 standard aggregates data from multiple rows into a single concatenated string. In the entity relationship diagram, aggregation is represented as seen in Figure 1 with a rectang ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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SQL Keywords
Structured Query Language (SQL) (pronounced ''S-Q-L''; or alternatively as "sequel") is a domain-specific language used to manage data, especially in a relational database management system (RDBMS). It is particularly useful in handling structured data, i.e., data incorporating relations among entities and variables. Introduced in the 1970s, SQL offered two main advantages over older read–write APIs such as ISAM or VSAM. Firstly, it introduced the concept of accessing many records with one single command. Secondly, it eliminates the need to specify ''how'' to reach a record, i.e., with or without an index. Originally based upon relational algebra and tuple relational calculus, SQL consists of many types of statements, which may be informally classed as sublanguages, commonly: Data query Language (DQL), Data Definition Language (DDL), Data Control Language (DCL), and Data Manipulation Language (DML). The scope of SQL includes data query, data manipulation (ins ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |