oracle olap cube

OLAP options in Oracle9 I Database Release 2 introduce the analysis workspace and truly integrate the relational and multidimensional data types in the same Database. So far, the only way for developers and DBAs to use the analytic workspace is to use command line API calls to manually build them. However, with the latest Analytic Workspace Manager (AWM) version, you can better utilize the multidimensional features in

One of the previous articles-the Data warehouse multidimensional data model already provides a brief description of the definition and structure of an overly-dimensional model, as well as the concept of the fact table and the dimension table (Dimension table). Multidimensional data model, as a new logical model, gives the new organization and storage form of data, and the advantage of the analysis is the effective operation and processing based on the model, which is

analysis, and is of high performance (still dependent on design).The SQL Server integration Service, which is used primarily to extract data incrementally from the original database (SQL Server/oracle/mysql/xml/excel, etc.), is cleaned, consolidated, and evaluated and loaded into the Data warehouse. The integration project can run as a job on a regular basis in SQL Server agent.SQL Server Analysis Service, which is used primarily to analyze data in a

The topic of today's blog is: parameter linkage solution. Environment: Data Warehouse + OLAP (cube) + Reporting Service. Effect: multiple parameters (1, 2 ,......) Achieve interaction. First, let's talk about the principle. A data warehouse consists of fact tables and dimensions. I understand that fact tables are actually a table composed of multiple dimensions related to a topic and the values of these dim

information in the analytic workspace. Analytic workspace is an interface required for user session interaction with the Oracle OLAP engine. It is also a container for dimension and cube objects. In Oracle OLAP, the analytic workspace concept is similar to the schema in th

(multidimensional OLAP) based on a multidimensional data organization. The core of multidimensional data organization, that is, MOLAP uses multidimensional arrays to store data. Multidimensional data in the storage will form a "cubic block (cube)" Structure, in MOLAP "cubic block" of "rotation", "cut", "slice" is the main technology to produce multidimensional data reports. HOLAP represents an

I have some experiences in using Oracle OLAP recently. Take a note: Oracle data warehouse has many implementation methods. I know two methods: One is ROLAP, which is based on fact table and dimension table. These tables are based on relational Tables, that is, general partition tables. Based on these partition tables, materialized view and partition are added, t

Oracle OLAP FunctionsThis topic has been used a lot recently. I have summarized it. Syntax: function_name (,,...)Over () OLAP function Syntax: 1. The function itself is used to operate the data in the window. 2. Partitioning clause is used Div: eq (0)> Div: eq (3)> table: eq (2)> tbody: eq (0)> TR: eq (0)> TD: eq (0)> Div: eq (0)> # Content: eq (0)> Br:

Label:After the Oracle 10g R2 was installed, the alert log was found to have the following error when starting the database: Database Characterset is UTF8 Replication_dependency_tracking turned off (no async multimaster replication found) Warning:aq_tm_processes is set to 0. System operation might be adversely affected. Fri APR 24 13:48:03 2015 in FILE/U01/APP/ORACLE/ADMIN/EPPS/UDUMP/EPPS_ORA_24778.TRC

Oracle was originally designed to be transaction-based, so it won't be authentic in terms of processing analyticdb. Recent developments in Oracle-related technologies have gradually adapted to OLAP needs. 1 partition technology 2 compression technology 3 index organization Table 4 blocks 5 parallel technology 6 memory result set. The original

During the project, we often encounter issues that are summarized by departments and personnel. It is quite convenient to handle such problems in Oracle! The following describes the instances encountered in the project: The query statement is as follows: Select f_sys_getsectnamebysectid (A. sectionid) as sectname,-- A. sectionid,F_sys_employinfo_getnamebyno (A. buyerid) as name,Sum (C. ratio) as llratio,Sum (B. ratio) as lratio,Sum (A. ratio) as ra

, excluding totals. Used in the same way as rollup and cube, are placed in group by. For example, it is necessary to count the total of working mother and department separately: [SQL]View PlainCopy Select Base,dept,sum (sal) from emp2 Group by grouping sets (base,dept); The result is: Equivalent to [SQL]View PlainCopy Select Base,null,sum (sal) from emp2 Group by base,null UnionAll Select null,dept,s

Oracle basic command: group by cube (Field List );The CUBE command generates different permutation and Combination Based on the field list, and generates statistical summary based on each combination result.For example: group by cube (city, job, age); shows the result of the permutation and combination: 1) city, job, a

Oracle grouping function rollup, cubeRollup (Field 1, Field 2 ):Cube (Field 1, Field 2 ):Rollup (col1, col2 ,...) and cube (col1, col2 ,...) the usage difference lies in the cube in the record set summarized by rollup, and the summary of fields such as col2 is also added;Www.2cto.com ROLLUP only summarizes the first pa

by Rollup (Deptno,job); 5, grouping_id The return value of grouping_id () is actually the binary vector of the Grouping () value of each column in the parameter, and if Grouping (a) =1,grouping (b) = 1, then the return value of grouping_id (A, B) is the binary 11, Turn into 10 and the binary is 3. The parameter can be multiple, but must be a column that appears in group by. The query results are as follows: Query statements Select Deptno,job,sum (SAL), grouping (DEPTNO) a,grouping (Job) b,gr

Extended rollup, cube, and groupingsets of groupby in Oracle In addition to the basic usage, Oracle group by has three extended usage types: rollup, cube, and grouping sets, which are described as follows: 1. rollup For the database table emp, assume that the two fields are a, B, and c. If group by rollup (a, B) is use

The difference between rollup and cube in Oracle GROUP by:Oracle's GROUP BY statement supports rollup and cube statements in addition to the most basic syntax.In the case of rollup (a, B, c), group by IS performed on (a, B, c), then group by (A, B), then (a) group by, and finally group by operations on the whole table;In the case of group by

1. Oracle ROLLUP and CUBE usage in addition to the most basic syntax, Oracle group by statements also support ROLLUP and CUBE statements. For Group by ROLLUP (A, B, C), group by is performed on (A, B, C), and then group by is performed on (A, B, then perform group by for (A) And then perform group by for the entire tab

MANAGER 2450ACCOUNTING President 5000As can be seen from the above: cube is more granular than rollup's presentation.At this time, suppose another person came running to say: He does not need so thin data, only need to summarize the data, can use grouping sets:---GROUPING sets Group select To_char (b.hiredate, ' yyyy ') hire_year,a.dname,b.job, SUM (SAL) sum_salfrom dept a,emp b WHERE A.deptno = B.deptnogroup by GROUPING sets (T

(DEPTNO) a,grouping (Job) b from the EMP GROUP by Rollup (Deptno,job);5, grouping_idThe return value of grouping_id () is actually a binary vector of the Grouping () value of each column in the parameter. Assuming grouping (a) =1,grouping (b) = 1, the return value of grouping_id (A, a) is the binary 11. Turn into 10 and the binary is 3.The number of parameters can be multiple, but must be a column that appears in group by.Query results such as the following:Query statementsSelect Deptno,job,sum