HDFS is built around the idea that the most efficient data processing pattern is a write once, read-many-times pattern.
Can I have any real time example how the HDFS write once and ready many times? I wanted to understand this core concepts in deep.
1
There are 1 best solutions below
Related Questions in HADOOP
- new thread blocks main thread
- Extracting viewCount & SubscriberCount from YouTube API V3 for a given channel, where channelID does not equal userID
- Display images on Django Template Site
- Difference between list() and dict() with generators
- How can I serialize a numpy array while preserving matrix dimensions?
- Protractor did not run properly when using browser.wait, msg: "Wait timed out after XXXms"
- Why is my program adding int as string (4+7 = 47)?
- store numpy array in mysql
- how to omit the less frequent words from a dictionary in python?
- Update a text file with ( new words+ \n ) after the words is appended into a list
Related Questions in HDFS
- new thread blocks main thread
- Extracting viewCount & SubscriberCount from YouTube API V3 for a given channel, where channelID does not equal userID
- Display images on Django Template Site
- Difference between list() and dict() with generators
- How can I serialize a numpy array while preserving matrix dimensions?
- Protractor did not run properly when using browser.wait, msg: "Wait timed out after XXXms"
- Why is my program adding int as string (4+7 = 47)?
- store numpy array in mysql
- how to omit the less frequent words from a dictionary in python?
- Update a text file with ( new words+ \n ) after the words is appended into a list
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
HDFS applications need a write-once-read-many access model for files. A file once created, written, and closed need not be changed. This assumption simplifies data coherency issues and enables high throughput data access. A MapReduce application or a web crawler application fits perfectly with this model. (Source: HDFS Design)
HDFS is built around the idea that files are rarely updated. Rather, they are read as data for some calculation, and possibly additional data is appended to files from time to time. For example, an airline reservation system would not be suitable for a DFS, even if the data were very large, because the data is changed so frequently. (Source: Mining of Massive Datasets)
Also see Why HDFS is write once and read multiple times?