Understanding Secondary Indexes and Coprocessor Solutions in HBase

This article explains the concept of secondary indexes in HBase, describes how coprocessors (including observers and endpoints) enable server‑side processing, compares coprocessor‑based solutions such as Apache Phoenix with non‑coprocessor approaches using Elasticsearch or Solr, and outlines their advantages and trade‑offs.

Big DataCoprocessorHBase

0 likes · 11 min read

Understanding Secondary Indexes and Coprocessor Solutions in HBase

DataFunTalk

Jun 28, 2019 · Databases

Deep Dive into Phoenix Index Creation, Maintenance, and SQL Compilation

This article provides a detailed technical analysis of Phoenix's native index creation and maintenance mechanisms, the underlying source code for index building, the role of coprocessors, and the complete SQL compilation pipeline from parsing to execution, highlighting how hints and optimizers influence index usage.

CoprocessorHBasePhoenix

0 likes · 26 min read

Deep Dive into Phoenix Index Creation, Maintenance, and SQL Compilation

Art of Distributed System Architecture Design

Apr 6, 2015 · Databases

Non‑Intrusive High‑Performance Complex Query Engine for HBase Using Secondary Multi‑Column Indexes

This article presents a non‑intrusive, high‑performance engine that adds secondary multi‑column indexes to Apache HBase, enabling efficient complex condition queries while preserving HBase's scalability, and details its principles, architecture, query API, index configuration, and practical trade‑offs.

CoprocessorHBaseNoSQL

0 likes · 18 min read

Non‑Intrusive High‑Performance Complex Query Engine for HBase Using Secondary Multi‑Column Indexes