Skip to main content

Background Processes - Oracle Architecture

SMON - System Monitor 

Performs recovery after instance failure, monitor temporary segments and extents clean those temporary extents and segments. 

PMON - Process Monitor

Failed process resources in shared server architecture monitor and restart any failed dispatcher or server process. 

DBWn - Database Writer

Database Writer process writes new or changed data blocks into the data-files which are in the buffer cache. 

LGWR - Log Writer

Log writer is in change of REDO Log buffer management log writer is one of most active processes until log writer success data commit will not be completed.

ARCn - Archive Process


Copies REDO Logs to one or more destinations.

CKPT - Checkpoint Process

This helps to reduce the amount of time required for instance recovery. During checkpoint updates the header of the control file and data-files to reflect the last successful System Changed Number (SCN) This automatically starts every time the redo log switch occurs. 

RECO - Recover Process

This handles the failures of distributed transactions.

 

Comments

Popular posts from this blog

Scraping HTML Content using Python

To Scrape Data using python we are using BeautifulSoup python Package !pip install beautifulsoup4 As a first step we have to import the packages and html page that we need to scrape. In here I have used some static HTML content which was customized to scrape the data. #imports import requests from bs4 import BeautifulSoup #html HTML Sample Doing Data Science with Python Doing Data Science with Python Author: Eranda Kodagoda This will help to perform various data science activitied using python Modules Title Duration in minutes Getting Started 20 Setting Up Environment 40 Extracting Data 30 Exploring and Processing Data 45 Building Productive Model 45 To View the HTML using beautifulsoup we can use below code-lines and execute on python executor from IPython.core.display import display, HTML display(HTML(html_string)) To Print the HTML using beautifulsoup we can use below code-lines and execute on python executor ps=Be...

Basics of Data Science with Python

About Data Science with Python From this module I will post some interesting posts about Data science and how to gather information and process them using Python and for that I will be using below softwares  Python 3.6 Anaconda Jupyter Notebook PyCharm by JetBrains In the posts I will include fundamentals of Python  programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. And In the posts I will be doing a simple Data Challange which is available on Kaggle and I will provide the URL's to the github repo which I will be posting the whole module once it finished. In Future I will be post some articles related to Applied Data Science with Python: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python

Selenium WebDriver Cheat Sheet

Below are some important code samples for those who are willing to learn Selenium automation. Driver Initialization WebDriver driver ; driver = new ChromeDriver() ; driver = new FirefoxDriver() ; driver = new SafariDriver() ; driver = new InternetExplorerDriver() ; driver = new EdgeDriver() ; // Driver Profiling //Firefox //Load Firefox System. setProperty ( "webdriver.firefox.bin" , "path/to/driver" ) ; FirefoxProfile profile = new FirefoxProfile() ; //load with add-on File file = new File( "path/to/add-on" ) ; profile.addExtension(file) ; //profile settings (setting up desired capabilities) DesiredCapabilities capabilities= new DesiredCapabilities() ; capabilities.setCapability(FirefoxDriver. PROFILE , profile) ; WebDriver driver = new RemoteWebDriver(capabilities) ; //Chrome Options System. setProperty ( "webdriver.chrome.driver" , "/path/to/chrome/driver" ) ; ChromeOptions options = new ChromeOption...