PostgreSQL Interview Questions for Beginners

Postgres or simply known as Postgresql in the SQL world is one of the widely and popularly used for Object-Relational Database Management System that is used mainly in large web applications. It is one of the open-source object-relational database systems which also powerful. It provides additional and substantial power by incorporating four basic concepts in such a way that the user can extend the system without any problem. It extends and uses the SQL language that is combined with various features to safely scale and store the intricate data workloads.

 Following are some of the major features of Postgresql :

1. Object-relational database
2. Supports major Operating systems
3. Support Extensibility for SQL and Complex SQL queries
4. Nested transactions
5. Flexible API and Database validation
6. Multi-version concurrency control (MVCC) and Procedural languages
7. WAL and Client server
8. Table inheritance & Asynchronous replication

 There are new, different data-types supported by Postgresql. Following are those data-types:

• UUID
• Numeric types
• Boolean
• Character types
• Temporal types
• Geometric primitives
• Arbitrary precision numeric
• XML
• Arrays etc.

Users can also create their indexes and get them indexed.

Following are some of the advantages of PostgreSQL :

• Stable
• Reliable
• Extensible
• Easy to learn
• Open source
• Designed for High Volume Environments
• Cross Platform
• Better Support
• Flexible

A string constant in PostgreSQL is a sequence of some character that is bounded by single quotes (').

Example

'This is a string Constant'

Multi-version concurrency control or MVCC in PostgreSQL is used to avoid unnecessary locking of the database. This removes the time lag for the user to log into his database. This feature or time lag occurs when someone else is accessing the content. All the transactions are kept as a record.

Indices of PostgreSQL are inbuilt functions or methods like GIST Indices, hash table and B-tree (Binary tree) which can be used by the user to scan the index in a backward manner. Users can also define their indices of PostgreSQL.

Tokens in PostgreSQL are the building blocks of any source code. They are known to comprise many of the special character symbols. These can be regarded as constants, quoted identifiers, other identifiers, and keywords. Tokens which are keywords consist of pre-defined SQL commands and meanings. Identifiers are used to represent variable names like columns, tables, etc.

Table partitioning in PostgreSQL is the process of splitting a large table into smaller pieces. A partitioned table is a logical structure used to divide a large table into smaller pieces called partitions.

Before you can have access to the database, you must be able to start the database server. The server program of the database is called Postgres. The Postgres program must know where to find the data it is supposed to use. This is done with the -D option. Thus, the simplest way to start the server is:

1. /usr/local/etc/rc.d/010.pgsql.sh start
2. /usr/local/etc/rc.d/PostgreSQL start

It is a free open source GUI tool PostgreSQL database administration tool for Windows, Mac OS X, and Linux system. It is used for information retrieval, development, testing, and ongoing maintenance of Databases.

PostgreSQL Cube Root Operator (||/) is used to get the cube root of a number.

Example

SELECT ||/40 AS "Cube Root of 40";

Use change column type statement with ALTER TABLE command to change a column type in PostgreSQL.

Example

ALTER TABLE table_name
ALTER COLUMN column_name [SET DATA] TYPE new_data_type;

It is not that hard as it seems. To get your statistics updated in PostgreSQL a special function called explicit ‘vacuum’ call is made. The method to do is to create a Vacuum where the option of Analyze is used to update statistics in Postgresql

VACUUM ANALYZE;

is the syntax.

The expression ‘NoSQL’ encompasses a wide collection of implementations which are part of the non-relational database. This includes tiny embedded databases such as TokyoCabinet, massive bunched data processing platforms such as Hadoop and everything in between. In short, it’s practically impossible to comment on the range comprised by NoSQL as a typical class.

Choosing between the non-relational and relational databases is also quite commonly debated as both have existed alongside each other for over forty years. In fact, users should opt for the features, community support and implementation of the database according to their current application needs. Additionally, use of multiple various databases for sizeable projects is becoming more of a norm than a trend. Moreover, the users of PostgreSQL are no exception.

The origin of PostgreSQL dates back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has more than 30 years of active development on the core platform. It runs on all the major operating systems and has been ACID-compliant since 2001. It also has add-on like PostGIS database extender. In MAC OS Postgresql is the default database. Michel Stonebraker is Father of Postgresql who has started the Post Ingres project for supporting Contemporary Database systems.PostgreSQL’s developers pronounce PostgreSQL as It is abbreviated as Postgres because of ubiquitous support for the SQL Standard among most relational databases.PostgreSQL, originally called Postgres, was created at UCB by a computer science professor named Michael Stonebraker, who went on to become the CTO of Informix Corporation.

Stonebraker started Postgres in 1986 as a followup project to its predecessor, Ingres, now owned by Computer Associates. The name Postgres thus plays off of its predecessor (as in “after Ingres”). Ingres, developed from 1977 to 1985, had been an exercise in creating a database system according to classic RDBMS theory.  Postgres, developed in 1986-1994, was a project meant to break new ground in database concepts such as exploration of “object-relational” technologies. An enterprise-class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write-ahead logging for fault tolerance.

• Phantom read: A transaction that re-executes a query, returning a set of rows that satisfy a search condition and then finds that the set of rows that have been satisfying the condition has changed due to another recently-committed transaction.
• Non-repeatable read: A transaction that re-reads the data that it has previously read and then finds that data has already been modified by another transaction (that committed since the initial read).
• Dirty read : A transaction when reads data that is written by a concurrent uncommitted transaction is the dirty read.

• Phppgadmin
• Psql
• Pgadmin

Out of these, phppgadmin is the most popular one. Most of these tools are front-end administration tools and web-based interfaces.

Difference between clustered index and non clustered index

• Cluster index is an index type that is used to sort table data rows on the basis of their key values. In RDBMS primary key allows us to create a clustered index based on that specific column.
• A non-clustered index (or regular b-tree index) is an index where the order of the rows does not match the physical order of the actual data. It is instead ordered by the columns that make up the index.