Apache ApexArchitecture

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Apex Platform Overview

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Apache Malhar Library

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Native Hadoop Integration

• YARN is the resource manager

• HDFS used for storing any persistent state

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Application Programming Model

Directed Acyclic Graph (DAG)

A Stream is a sequence of data tuplesAn Operator takes one or more input streams, performs computations & emits one or more output streams

• Each Operator is YOUR custom business logic in java, or built-in operator from our open source library

• Operator has many instances that run in parallel and each instance in single-threaded

Directed Acyclic Graph (DAG) is made up of operations and streams

Filtered

Stream

Output Stream

Tuple Tuple

Filtered Stream

Enriched Stream

Enriched

Stream

er

Operator

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Operator

er

Operator

er

Operator

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Application Specification

Apex Engine

Core Features

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Partitioning and Scaling Out

• Operators can be dynamically scaled• Flexible Streams split• Parallel partitioning• MxN partitioning • Unifiers

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Advanced Windowing Support

Application window Sliding window and tumbling window Checkpoint window No artificial latency

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Stateful Fault Tolerance Supported out of the box

– Application state– Application master state– No data loss

Automatic recovery Lunch test Buffer server

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Processing Semantics At least once At most once Exactly once

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Data Locality Stream locality for placement of operators

– Rack local – Distributed deployment– Node local – Data does not traverse NIC– Container local – Data doesn’t need to be serialized– Thread local – Operators run in same thread

Data locality

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Dynamic Updates

Dynamic topology updates– Properties of operators can be changed– New operators can be added

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ResourcesApache Apex Community Page

Apache Apex LinkedIn Group

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Help Us Name the Apex MascotPoll on Meetup Page