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#elasticsearch

8 posts

8 Jun

Palantir 14 min read

Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale. The following is a guest contribution to the Foundations series from the Gotham Core Platform organization, which builds and maintains the bedrock for mission-critical applications within the Gotham ecosystem. This blog post by Kevin Liang, a backend developer based…

elasticsearchpalantir-foundationsinfrastructure-softwarepalantirpalantirtech

5 Feb 2024

Praveen Kumar 2 min read

How we optimized legacy top hits aggregation query time from 500ms to ~50ms. We are using an elastic search on the search listings page to filter listings based on user filters and some complex aggregation logic. Problem Statement: Our legacy aggregation query was taking approximately 500ms for city-level SRP ( Search Results Page) and approximately 200-300ms for city locality pages.…

performancequery-optimizationelasticsearch

27 Jul 2023

23 May 2023

Driven by Code 6 min read

By: Grace Diep TrueCar’s vehicle inventory data flow is powered by an extensive technology stack. The Apache Hadoop ecosystem, along with Spark and HBase, is used for processing vehicles from the feeds of more than ten thousand dealer partners on the TrueCar network. Output data then moves through an Amazon Kinesis stream and finally gets stored in Elasticsearch and Redshift.…

elasticsearchlistingsquerystringfilteringvehicles

1 Mar 2023

Driven by Code 7 min read

By: Kyler Stole TrueCar’s Model Search offers a search results page (SRP) for virtual vehicle models. Combinable filters help you narrow down your vehicle needs to specific models that have what you want. This page was actually preceded by Vehicle Rankings pages, which also filter down models but then rank the results using TrueCar’s proprietary scoring system. When we ported…

aggregationfiltersruby-on-railselasticsearchperformance

2 May 2019

7 min read

In this post we are going to manage nested objects of a document indexed with Elasticsearch. The nested type is a specialised version of the object datatype that allows arrays of objects to be indexed in a way that they can be queried independently of each other. – Nested datatype - Official Elasticsearch reference Prerequisites To follow this post you…

elasticsearchopensourcescriptshow-tonested objects

13 Apr 2018

18 Jun 2013