Oracle手工创建数据库的步骤
Oracle除自带的DBCA可以创建数据库以为,还有另外一种创建方法,就是手动创建数据库,也是作为DBA人员必须要掌握的。下面就介绍一
Oracle除自带的DBCA可以创建数据库以为,还有另外一种创建方法,就是手动创建数据库,也是作为DBA人员必须要掌握的。下面就介绍一下手动创建数据库的步骤:
手动创建数据库通常包含如下操作步骤:
1、确定新建数据库名称和实例名称;
2、确定数据库管理员的认证方式;
3、创建初始化参数文件;
4、创建实例;
5、连接并启动实例;
6、使用create database语句创建数据库;
7、创建附加的表空间;
8、运行脚本创建数据字典视图;
下面以创建一个名为“MYNEWDB”的数据库为例
1、确定数据库名称与实例名称;
DB_NAME=MYNEWDB
SID=MYNEWDB
2、确定数据库管理员的认证方式;
管理员的认证方式包括操作系统认证和口令认证两种,,本例采用操作系统认证
3、创建初始化参数文件;
Oracle提供的初始化参数样本文件位于$ORACLE_HOME/admin/sample/pfile目录中的initsmpl.ora
我们采用修改样本的方式,创建参数文件名为:initMYNEWDB.ora,存放在D:/oracle/ora92
/database/initMYNEWDB.ora,主要内容设置如下:
#共享服务器设置
dispatchers="(PROTOCOL=TCP)(SERVICE=MYNEWDBXDB)
#数据库实例名设置
instance=MYNEWDB
#安全与审计设置
remote_login_passwordfile=EXCLUSIVE
#排序区大小设置
pga_aggregate_target=25165824
sort_area_size=524288
#全局数据库名设置
db_domain=""
db_name=MYNEWDB
#控制文件设置
control_files=("D:/oracle/oradata/MYNEWDB/CONTROL01.CTL",
"D:/oracle/oradata/MYNEWDB/CONTROL02.CTL",
"D:/oracle/oradata/MYNEWDB/CONTROL03.CTL")
#SGA区设置
java_pool_size =33554432
large_pool_size=8388608
shared_pool_size=50331648
#游标与库缓存设置
open_cursors=300
#回退段和撤销表空间设置
undo_management=AUTO
undo_retention=10800
undo_tablespace=UNDOTBS
#诊断与跟踪信息设置
background_dump_dest=D:/oracle/admin/MYNEWDB/bdump
core_dump_dest=D:/oracle/admin/MYNEWDB/cdump
timed_statistics=TRUE
user_dump_dest=D:/oracle/admin/MYNEWDB/udump
#用户进程设置
processes=150
#缓冲区与数据库大小设置
db_block_size=8192
db_cache_size=25165824
db_file_multiblock_read_count=16
4、创建实例
选择“程序-->运行”,输入“cmd”命令,打开DOS界面
(1)将环境变量ORACLE_SID设置为“MYNEWDB”
C:/SET ORACLE_SID=MYNEWDB
(2)利用ORADIM命令创建MYNEWDB数据库
C:/ORADMIN -NEW -SID MYNEWDB -INTPWD MYNEWDB -STARTMODE MANUAL -PFILE D:/oracle/ora92
/database
注意:ORADMIN是Oracle提供的一个对实例进行管理的工具,可以创建、修改、删除、启动和关闭一个
实例,执行C:/ORADMIN HELP命令可以查看该命令的使用情况
5、连接并启动实例
C:/sqlplus /nolog
SQL>connect sys/mynewdb as sysdba;
SQL>startup nomount;
6、使用create database 语句创建数据库
SQL>CREATE DATABASE MYNEWDB
MAXINSTANCES 1
MAXLOGHISTORY 1
MAXLOGFILES 5
MAXLOGMEMBERS 5
MAXDATAFILES 100
DATAFILE 'D:/oracle/oradata/mynewdb/system.dbf' size 50M
UNDO TABLESPACE undotbs DATAFILE 'D:/oracle/oradata/mynewdb/undotbs.dbf' size 50M
AUTOEXTEND ON NEXT 5120K MAXSIZE UNLIMITED
DEFAULT TEMPORARY TABLESPACE tempts
CHARACTER SET US7ASCII
NATIONAL CHARACTER SET AL16UTF16
LOGFILE GROUP 1 ('D:/oracle/oradata/mynewdb/redo01.log') size 100M,
GROUP 2 ('D:/oracle/oradata/mynewdb/redo02.log') size 100M,
GROUP 3 ('D:/oracle/oradata/mynewdb/redo03.log') size 100M;
在执行create database 语句的同时,自动执行$ORACLE_HOME/rdbms/admin/sql.bsq脚本,创建SYSTEM
表空间和SYSTEM回退段、建立SYS和SYSTEM账号、建立数据字典基础表、建立数据字典索引、创建预定义角色等。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr

DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single

If you need to know how to use filtering with multiple criteria in Excel, the following tutorial will guide you through the steps to ensure you can filter and sort your data effectively. Excel's filtering function is very powerful and can help you extract the information you need from large amounts of data. This function can filter data according to the conditions you set and display only the parts that meet the conditions, making data management more efficient. By using the filter function, you can quickly find target data, saving time in finding and organizing data. This function can not only be applied to simple data lists, but can also be filtered based on multiple conditions to help you locate the information you need more accurately. Overall, Excel’s filtering function is a very practical

The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream

Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker

The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile

I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.
