Skip to main content

Data Structures


Highlight the ones you know

Data types[edit]

Primitive types[edit]

Composite types or Non-primitive type[edit]

Abstract data types[edit]

Some properties of abstract data types:
StructureOrderUnique
Listyesno
Associative arraynoyes
Setnoyes
Multisetnono

Linear data structures[edit]

A data structure is said to be linear if its elements form a sequence.

Arrays[edit]

Types of Lists[edit]

Trees[edit]

Binary trees[edit]

B-trees[edit]

Heaps[edit]

Trees[edit]

In these data structures each tree node compares a bit slice of key values.

Multiway trees[edit]

Space-partitioning trees[edit]

These are data structures used for space partitioning or binary space partitioning.

Application-specific trees[edit]

Hashes[edit]

Graphs[edit]

Comments

Popular posts from this blog

Microservices Design patterns

What are microservices? Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of services that are Highly maintainable and testable Loosely coupled Independently deployable Organized around business capabilities Owned by a small team The microservice architecture enables the rapid, frequent and reliable delivery of large, complex applications. It also enables an organization to evolve its technology stack. You are developing a server-side enterprise application. It must support a variety of different clients including desktop browsers, mobile browsers and native mobile applications. The application might also expose an API for 3rd parties to consume. It might also integrate with other applications via either web services or a message broker. The application handles requests (HTTP requests and messages) by executing business logic; accessing a database; exchanging messages with other systems; and returni...

GraphQL

What is GraphQL  API Standard invented & open-sourced by Facebook Alternative to  REST API  enables declarative data fetching  exposes single endpoint & responds to queries How it works?  Why Graphql? Improvises performance by reducing the data that is to be transferred over the internet Variety of different frontend frameworks and platforms on client-side Fast development speed & expectation for rapid feature development Why Graphql is better than REST? Flexibility & efficient  No more over /under fetching of data Over fetching : Under fetching: Insightful analytics  Schema serves as contract between client and server CORE CONCEPTS : SDL :SCHEMA DEFINITION LANGUAGE Writing Data with mutations 3 kinds of mutations creating new data updating existing data deleting existing data

Jackson

<dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId> jackson-core </artifactId> <version>2.9.6</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId> jackson-annotations </artifactId> <version>2.9.6</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId> jackson-databind </artifactId> <version>2.9.6</version> </dependency> CBOR encoded data with Jackson <dependency> <groupId>com.fasterxml.jackson.dataformat</groupId> <artifactId>jackson-dataformat-cbor</artifactId> <version>2.9.6</version> </dependency> In order to read and write MessagePack encoded data <dependency> <groupId>org.msgpack</groupId> <artifactId>jackson-dataformat-msgp...