vespa-engine/vespa

Support feeding from Spark

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#9,158 opened on Apr 23, 2019

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 (6 comments) (0 reactions) (0 assignees)Java (4,948 stars) (561 forks)batch import
enhancementgood first issue

Description

Today, the Hadoop integration tools for Vespa support Hadoop and Pig for feeding and querying Vespa. The Pig feeder is a thin wrapper around the Vespa HTTP client.

We should support feeding directly from Spark as well, to avoid Spark pipelines having to write to HDFS and run another Pig job for the actual feeding. Similarly to the Pig feeder, this could be implemented as a thin wrapper around the HTTP client.

Contributor guide

Tech stack
javarest api
Domain
backenddata
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Familiarity with SparkUnderstanding of Vespa HTTP clientJava development experience
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Review the existing Hadoop integration in the vespa hadoop directory and the Vespa HTTP client documentation. Identify the key components used in the Pig feeder wrapper and adapt them for Spark. Consider how to handle data ingestion in parallel and error handling. Look at comments in the issue for any additional requirements or constraints.
Support feeding from Spark · vespa-engine/vespa#9158 | Good First Issue