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 (561 forks)batch import
enhancementgood first issue

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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

Research direction
Study the existing Hadoop and Pig integration code to understand how they wrap the Vespa HTTP client, then implement a similar Spark DataSource or Foreach writer for Spark.
Tech stack
java
Domain
backenddatabase
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
JavaGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60