------------------------------ ---------- P1 8320 P10 8624 P2 12112 P3 11856 P4 8800 P5 7904 P6 8256 P7 8016 P8 8272 P9 7840 PMAX 256 11 rows selected.
Use Quick refresh to refresh the materialized view ACC_VIEW.
execute dbms_mview.refresh('ACC_VIEW','F')
The 'F' parameter indicates a quick refresh. But if the table does not have music video logs, does it work?
After refresh, check the segment statistics of ACCOUNTS again. The result is as follows:
SUBOBJECT_N
Data Warehouse applications have the ability to capture large amounts of shared information from multiple decentralized departmental systems. They can effectively transform the original data of the organization into useful knowledge information, so the knowledge information can be used for strategic decision support to improve the enterprise benefit. With the hel
SAP smp-a neglected SAP data warehouse
(This is the first blog published by Xu Kun.Http://blog.xukun.com/)
It is often heard on various occasions, or even complained by customers in person.SAPBefore providingTechnical materialsIt's too tricky.N + nAfter that, I finally thought it would be more appropriate to write it down.J
I declare in advance that this article is intendedSAPUsers or partners. F
The previous article says Service Manger Management Server deployment process, the following will continue to introduce SCSM R2 another component Data Warehouse server deployment process
1, on the Service Manager installation media, double-click the "Setup.exe" file. 2. On the Service Manager installation media, double-click the "Setup.exe" file.
2. On the Product registration page, type the information
What is a data warehouse, and what is the difference between a databaseDataWarehouseis a subject-oriented (Subject oriented), integrated (integrate), A relatively stable (non-volatile), data collection that reflects historical changes (timeVariant) to support management decisions. (1) topic-oriented: Index data in the
The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Microsoft's Azure Data Warehouse is a distributed system based on the MPP architecture:Control node is responsible for managing the system and accepting requests from users, Compute node is responsible for computing.Currently, Azure Data Warehouse has landed in the country. You can use the new portal page to manage it,
Tags: loading HBA datasets Organization development int checked Storage sub Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions. (1) Topic-oriented: Index data
Findbyisbnequal (String ISBN);
➤not,isnot expression is not equal to List
a custom method
Spring data is powerful, but not necessarily completely covered by our needs, and in some cases we need a custom approach. to provide a custom method for a warehouse
1, we define a warehouse interface, which provides a way to define the customization.
Public interface Tes
The Data warehouse is usually the largest database within the enterprise. Building and managing systems is a big task that can quickly become unmanageable because of the incompatible input that many users provide. Improving the system's query performance is achievable, but must be carefully planned and followed by a visionary design and development phase. In this article, we will list some of the technologi
Oracle Data Warehouse creation tutorial. How to create a data warehouse, create an example, think of graduation design requirements, recently began Oracle's Warehouse modeling practice, detailed records of the graphical interface Oracle database 12C
Ix. Degradation DimensionsThis section discusses a technique called a degenerate dimension. This technology reduces the number of dimensions and simplifies the dimension Data Warehouse model. Simple patterns are easier to understand than complex and have better query performance. This dimension can be degraded when there is no data required for the
Tags: sqlAzure Documentation:https://docs.azure.cn/zh-cn/#pivot =productspanel=databasesSQL Data Warehouse Documentation:https://docs.azure.cn/zh-cn/sql-data-warehouse/Learn how to use SQL Data Warehouse, which combines SQL Server
1. With the production library, data changes are captured through the CDC, and data is saved to the Data warehouse through SSIS, and now it's time to build the cube SSAS for Data statistics analysis.2. After the local environment has built many dimensional datasets, how to p
different compression methods, so that the original disk on the large amount of IO overhead and CPU compression work to achieve a better tradeoff. The compression rate is approximately 90%. In addition, Vertica's write data and read data are separated, the read data in a compressed state exists on the disk, the written data
The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is only part of OLAP, not all. OLTP multi-index than OLAP, and the real-time requirements of hig
Objective
In the field of data warehousing, query performance is an important performance indicator for customers, whether in production systems or POC (Proof of Concept) performance tests. Good query performance lays the foundation for the efficient operation of various data warehouse applications. As for query performance, it is well known that the main perfor
I was the first time to install the orgal11g Data Warehouse, in the installation process, there are many problems. The installation process and the problem-solving solution are documented. If there is any shortage, please criticize the advice.1. Ensure that the orcal11g is installed in the system. Because of the limitations, I install both the server and the client on the local machine. The local environmen
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