dimension 5150

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Mondrian series (5)-deep dimension, level and level (3)-Level Display and multi-level structure

timestamp. The default value is numeric, because the primary key column is generally of the numerical type. If the types are different, Mondrian needs to know the correct type to generate an SQL statement. For example, a string value will generate a statement that contains single quotes: Where productsku = '2017-456-aaa' 2. Multi-level structure A dimension can contain more than one level: Note that the first level has no name. By def

6 VC Dimension

1 definition of the VC dimensionVC dimension is actually the sample capacity before the first break point. The standard definition is: For a hypothetical space, if there are n samples can be assumed in the space of the H by all possible 2 of the n-th form of separation, it is said that the hypothetical space can be divided into n samples, assuming that the space VC is the maximum number of samples it can be scattered n. If any number of samples have f

Advanced Techniques for optimizing data warehouses Using Dimension objects

In Oracle Data Warehouse (OLAP), MVIEW, Query Rewrite, and Dimension are very important optimization methods, I don't want to repeat the previous two here, mainly to experience the role of dimension. To play the role of a dimension, we still need to use the previous two. below is the simplest example of a dimension tab

The shift in thinking is far more valuable than simply lifting the operational dimension

experience and insights, but also let me have some different thinking about operation. I think the shift in operational dimension is far more valuable than the mere lifting of operational technology. I think that, in a research and development team, to remove the business requirements to achieve the level of things, the other is the scope of operations, this category of things in essence is in the software lifecycle of the operation of the maintenan

Java uses recursive and cyclic methods to implement the Cartesian Product algorithm example of an unknown dimension set.

Java uses recursive and cyclic methods to implement the Cartesian Product algorithm example of an unknown dimension set. This example describes how Java implements Cartesian product of an unknown dimension set based on recursion and loops. We will share this with you for your reference. The details are as follows: What is Cartesian product? In mathematics, the Cartesian product of two sets of X and Y, also

To set the form size and display position using the dimension class and the Point class

Importjavax.swing.*;Importjava.awt.*; Public classss1{ Public Static voidMain (string[] args) {JFrame F=NewJFrame ("graphical interface");//Dimension d=NewDimension ();//Create a Dimension objectD.setsize (466,150);//Specify component SizeF.setsize (d);//Set Component SizeF.setbackground (Color.White);//set the background to whitePoint p=NewPoint (300,200);//Specify the outer top and outer left margin of th

How do I hide the dimensions of a dimension in a CAD drawing?

How do I hide the dimensions of a dimension in a CAD drawing? We in the design of the Japanese Chong, will be in each CAD drawing of the content to do some labeling to the landline number, but when we hand over to the customer to view the CAD drawings, sometimes need to hide the dimensions of the CAD drawing? How exactly do you do that? Let's teach you how to hide the dimensions in the drawing in the Quick CAD Editor Standard Edition. Want to know the

Keycolumns,namecolumn and ValueColumn of dimension attributes

Each attribute of a dimension has Keycolumns,namecolumn and ValueColumn1, how to understand Keycolumns,namecolumn and valuecolumn? There are different identity columns for a row of records, but the same row of records is identified.For the type of int, occupy small storage space, easy aggregation, suitable for primary key, but difficult to read;Data of type char, easy to read, suitable as name Column;For a specific type of data, its value must be able

Using the Javadate class Data Warehouse dimension table

Using the Javadate class Data Warehouse dimension tableDate Category:, returns the number of milliseconds for a relative date. Accurate to milliseconds. However, the internationalization and sub-timezone display of dates is not supported.The date class began to evolve from the Java Development Package (JDK) 1.0, when it included only a few ways to get or set the various parts of a date data. Like months, days, and years. These methods have now been cr

Advanced Techniques for optimizing data warehouses Using Dimension objects

ExploitationDimensionAdvanced Techniques for optimizing Data Warehouses Author:Anysql.netDuring reprinting, be sure to mark the original source and author information in the form of hyperlinks.Link:Http://www.anysql.net/Oracle/Oracle_Olap_dimension.html InOracleIn the data warehouse (OLAP), the materialized view (mview), query rewrite (query rewrite) andDimension(Dimension) is a very important optimization method. I don't want to repeat

System Dimension and level

If the system is regarded as a multi-dimensional object, the UML class diagram, sequence diagram, state diagram, and use case diagram are the views created for the system in different dimensions. In addition to the differences between dimensions, this view also has different levels (granularity) under the same dimension. For example, package digoal is a view with a higher level (coarse granularity) than class digoal. The system is multidimensional and

ML: Descending dimension algorithm-PCA

PCA (Principal Component analysis) is also known as the Karhunin-low transformation (Karhunen-loeve Transform), a technique used to explore high-dimensional data structures. PCA is often used for exploration and visualization of high-dimensional datasets. can also be used for data compression, data preprocessing and so on. PCA can synthesize high-dimensional variables that may have correlations as linear independent low-dimensional variables called principal components (principal component). The

PCA method in descending dimension algorithm

1 Principal component Analysis(Principal Component ANALYSIS,PCA)2 linear discriminant Analysis(Linear discriminant analysis, LDA)Research backgroundIntroduction to basic knowledgeIntroduction to the Classic methodSummary discussionThe question is raisedGeographic systems are complex systems with multiple elements. In the study of geography, multivariate problems are often encountered. Too many variables will undoubtedly increase the difficulty and complexity of the analysis problem, and in many

Operation Dimension 85 Rules _ Server Other

1. Capacity first, optimization second-this rule takes effect when a failure occurs. When you are down, do not study any optimizations, restore the device first. 2. Keep all the records that can be captured--take PostgresQL as an example, including WAL files, slony replication, snapshot technology, DB version based on the hard disk (included with the snapshot) 3. Do not introduce more problems because of optimization. Usually the things we do when we solve the problem turn into the burden of t

The development direction of automatic operation and dimension _ operation and maintenance automation

only makes the resources no longer waste, but also makes the expansion of business adjustment becomes easier and more cost-effective, and indeed greatly simplifies the traditional sense of operation and maintenance, is the future of small and medium internet companies to develop an important trend. At this time, the operation of the focus will be shifted to the platform architecture selection and optimization, operations need to pay more attention to business characteristics and related to the

Operation Dimension PK Performance

Year came a load-balanced manufacturers to do product training, looked at other people's things, in comparison to their own things, ashamed. Smoking Gap and colleagues chat, they saw the manufacturer's products, said not to think that there is more novelty, nothing more than a brand of standardized products on the market, but in my opinion, not only see their own shortcomings, but also see a lot of domestic network equipment manufacturers between the PK point of misunderstanding. What makes me f

Custom dimension rollup to achieve average balance of balances

In the article "using calculated members to achieve the daily average", we achieved the average of the balance by establishing a calculation member, so as to guarantee the dimension of the bus structure! The disadvantage of this method, of course, is that many computational members need to be set up, and the efficiency of the calculated members is poor. In this section, we use the custom rollup method of the dimen

Generate a Time dimension table in MySQL

Tags: MySQL Time dimension table Data WarehouseGenerate a Time dimension table in MySQLUsing the MySQL common date function to generate time dimension tables is the most efficient, simplest, and requires no other tools to support. The resulting results are shown for example:# time Spanset @d0 = "2012-01-01"; SET @d1 = "2012-12-31"; SET @date = date_sub (@d0, Inte

Notes when creating a Multidimensional Dataset dimension

An important difference between multidimensional data and two-dimensional data in common relational databases is that there are some additional Dimension, that is, adding more conditions to data display. Therefore, the dimension concept in a multi-dimensional dataset is It is very important that we have recently reached the Data Warehouse. It may be said that the data mart is more spec

Share dimension tables between data warehouses (marketplaces)

Some people often ask a question: do fact tables and dimension tables must be in a database? Why is there such a problem? As we mentioned, if the data warehouse is large enough, it may be split into so-called data mart. Generally, the division is based on the so-called different business modules, such as personnel management, sales management, and financial management. Some people often ask a question: do fact tables and

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