CouchDB Interview Questions and Answers
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Best CouchDB Interview Questions and Answers
What took you here? Are you searching for CouchDB Interview Questions and Answers? Then you have landed at the right page. Here, we have compiled the most important top 30 CouchDB interview questions and answers which will assist you in brushing up your CouchDB intellect before attending an interview. Not every technical interview is hard or simple. We analyze the interviews perfectly and have framed you the top 30 CouchDB interview questions and answers which has been frequently asked by the interviewers. By practicing all these questions before attempting a face to face interview you will surely gain confidence over your skill.
All these top 30 CouchDB interview questions and answers are prepared in guidance with the top recruiters in this field. As the need for CouchDB experts are increasing every day, interviews are also conducted often to pick the right person for an organization. So, elevating your skill and preparing yourself to crack the interview is highly essential. These top 30 CouchDB interview questions and answers are perfect for both beginners and experienced to set up a successful career. We wish you all success in your career path.
CouchDB is a scheme-free, ad-hoc and document type database server with a flat address space which can be accessed with the help of RESTful JSON API.
MongoDB | CouchDB |
It supports TCP or IP custom protocol interface | It supports REST or HTTP interface |
Here, the database are collected in groups within a database | Here, documents are collected or gathered in a database |
Replication in MongoDB is like Master-Slave | Replication in CouchDB is like Master-Master |
The following facts will explain how CouchDB is unique from the other available databases:
- CouchDB is not actually a relational database.
- Also, CouchDB is not an object oriented database but it acts as a seamless persistence layer for all other object oriented programming languages
COUCH stands for Cluster of Unreliable Commodity Hardware which supports huge scalability and reliability in order to prevent hardware faults.
CouchDB reduces the development time and it allows the users to efficiently write a client side application which can directly connect with CouchDB without requiring any server side middle layer.
Yes, I am aware of CouchDB features while some are enlisted below:
- JSON documents
- RESTful interface
- N-Master replication
- Built for offline
- Replication filter
Initially, CouchDB was written with C++ programming language but as updates are now and then it has now shifted to an Erlang OTP Platform which is a functional programming language that focuses mainly on fault tolerance.
CouchDB Kit is mainly designed for python applications in order to effectively access and make use of CouchDB. With CouchDB kit, a user can easily manage the following – CouchDB server, document management, database and to view the access at ease.
In CouchDB, ETL is nothing but extracting, transforming and loading of data into a desired destination from any of the system that is of maximum utility. In ETL, the data integration process is carried out in 3 most important steps as listed below:
- Extracting – Here, the data will be initially detected and removed from the particular source.
- Transforming – Here, the removed data from the source will be transported to the defined destination.
- Loading – Here, the data will be loaded into the final target location in the format that is acceptable.
The common tools that are used in the ETL process are as follows:
- Cognos decision stream
- Oracle warehouse builder
- Business objects XI
- SAS business warehouse
- SAS enterprise ETL server
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PouchDB is one of the clients of CouchDB which allows similar function like switching between a local database and online CouchDB instance at ease without altering any of the application code while some of the difference associated between PouchDB and CouchDB are as follows:
View Collation – In a view query, CouchDB prefers ICU in order to arrange keys while PouchDB makes use of ASCII to order the keys.
View Offset – In view results, an offset property is returned by CouchDB while in PouchDB, the offset actually mirrors all the skip parameters apart from returning all the true offset values.
With the help of HTTP proxy that includes nginx, we can easily cater the loads but initially the GET loads will be catered across all the nodes and then it will direct the available PUT, POST and DELETE to the relevant master nodes without hassles.
The central component present in a multi-dimensional model to analyze all the measures accurately is called a fact in CouchDB.
The different types of facts are as follows:
- Addictive facts
- Semi-addictive facts
- Non-addictive facts
CouchDB is compatible with all POSIX platforms that include GNU, Linux and OS X. CouchDB actually do not support Windows but using the two methods listed below, we can install CouchDB in Windows too.
- Installation from binaries
- Installation from sources
A data processing unit that allows or supports multi-dimensional analysis is known as cubes in CouchDB which comprises of fact tables and dimensions that are extracted from the data warehouse.
OLAP is nothing but Online Analytics Processing while OLAP cubes are utilized for reporting that consists of huge volume of data on a multi-dimensional form.
Views are always read only and so it cannot update any documents or required database.
The syntax listed below can be used to get the list of design documents available:
startkey=”_design/”&endkey=”_designo”
CouchDB not used Mnesia for the following reasons:
- The storage limit of Mnesia is around 2 Gig per file.
- In case of power failure, Mnesia requires fix up cycle and validation.
- The process of replication in Mnesia is used in clustering while it cannot be preferred for distributed or disconnected edits.
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The syntax for replication in CouchDB is as follows:
POST /_replicate with a post body of
{“source”:”$source_database”
,
“target”:”$target_database”}
The CouchDB log files are stored in usr/local/var/log/couchdb/couch.log while this is the default location only for Linux or UNIX.
Actually, CouchDB makes use of Erlang binaries internally and it requires only UTB-8 data to enter into it for processing.
The reason behind IBM involvement with CouchDB and its community are as follows:
The code used is now Apache Licensed and does now come under GPL (General Public License).
Damien has been committed to contribute more and for long periods.
An optimistic concurrency model is preferred by CouchDB which allows users to share a document version in association with the recent updates and CouchDB also has the capability to reject documents that does not match the current version of the documents.
The main basic highlights of CouchDB are as follows:
- It can store only documents in the database
- Every document has a specific unit called fields that consist of key and value pairs
- Every document has a unique ID in order to find it at ease
- All the database are carried using REST type HTTP request
- The output response of CouchDB will always be in JSON format
The several HTTP request formats are as follows:
- GET
- POST
- HEAD
- PUT
- DELETE
- COPY
Both the internal API and data model of CouchDB maps with the REST or HTTP model and so all the other API would be generally identical with the HTTP.
Couchbase is an open-source, membase, NoSQL document-oriented database which can be used for interactive applications.
Erlang programming language and the open telecom platform are those preferred by cluster manager.
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