不爲也 比不能也

I remember a couple years ago I was at a convention talking to folks about Elasticsearch or Lucene and one of them said something like "Everyone knows that if you really want to search fast you need to just use term queries." He was certainly right about term queries being fast but I really wanted to run some numbers and see just how right he was. And that felt like a good time to write a blog p..

As the project manager of stagemonitor, an open source performance monitoring tool, I've recently been looking for a database to replace the cool-but-aging Graphite Time Series DataBase (TSDB) as the backend. TSDBs are specialised packages for storing (performance) metric data, like the response time of your app or the CPU utilisation of a server. Ultimately, we were looking for a datastore that..

A little over a year ago I described how to maximize indexing throughput with Elasticsearch, but a lot has changed since then so here I explain the changes that affect indexing performance in Elasticsearch 2.0.0.약 1년전, Elasticsearch에서 처리량을 최대화하는 방법에 대해 설명한 적이 있다. 그런데, 그때에 비해 많은 것이 변경되어, 여기에서 Elasticsearch 2.0.0 에서 index 성능에 영향을 미치는 변경 사항에 대해 설명한다.Store throttling is now automaticPrior to 2.0.0, ..

Like every other software out there, Elasticsearch provides some insight into what's happening with its internals while running. This is an informative process and can reveal quickly if something bad happened (in the form of an error message), or it can decisively determine the cause of a performance issue or why the cluster is behaving in a way users might not like.다른 모든 SW와 마찬가지로, Elasticsearc..

UPDATE: This article refers to our hosted Elasticsearch offering by an older name, Found. Please note that Found is now known as Elastic Cloud.이 게시물은 기존에 Found라는 이름으로 제공된 Elasticsearch 서비스에 관한 것이다. Found은 이제 Elasticsearch Cloud로 알려져 있다.In this article we'll investigate the files written to the data directory by various parts of Elasticsearch. We will look at node, index and shard level files and..

Welcome Back! Last time on Intro to Aggregations, we explored the basic concepts of aggregations and how to start using them. We toyed with simple bucket and metric aggregations, which gave us simple analytics.지난 번에 Intro to Aggregations에서, aggregation의 기본 개념과 사용방법을 살펴보았다. 간단한 bucket과 metric을 다루었는데, 이는 간단한 analytic을 제공했다.Today, we are going to learn about sub-aggregations. The most powerful feat..

Many people are familiar with Elasticsearch for its search functionality. And while it is excellent at search, many organizations are using Elasticsearch for an entirely different purpose: analytics.많은 이들이 search 기능에 대해서는 Elasticsearch에 익숙하다. search에는 탁월하지만, 많은 조직에서는 전혀 다른 목적인 analytic(분석)을 위해 Elasticsearch를 사용하고 있다.Beneath the surface of Elasticsearch is a powerful analytics engine, waiting to ..

UPDATE: This article refers to our hosted Elasticsearch offering by an older name, Found. Please note that Found is now known as Elastic Cloud.이 게시물은 기존에 Found라는 이름으로 제공된 Elasticsearch 서비스에 관한 것이다. Found은 이제 Elasticsearch Cloud로 알려져 있다.The previous article in this series, Elasticsearch from the Bottom Up, covered essential data structures within a single shard. In this article, we will look at t..

UPDATE: This article refers to our hosted Elasticsearch offering by an older name, Found. Please note that Found is now known as Elastic Cloud.이 게시물은 기존에 Found라는 이름으로 제공된 Elasticsearch 서비스에 관한 것이다. Found은 이제 Elasticsearch Cloud로 알려져 있다.As much as we love Elasticsearch, at Found we've seen customers crash their clusters in numerous ways. Mostly due to simple misunderstandings and usually the fixe..

Running Elasticsearch 2.0? Check out this updated post about performance considerations for Elasticsearch 2.0 indexing. Elasticsearch 2.0을 운영 중이라면? Elasticsearch 2.0 indexing에 대한 성능 고려 사항에서 update된 post를 확인해 보자. Elasticsearch users have delightfully diverse use cases, ranging from appending tiny log-line documents to indexing Web-scale collections of large documents, and maximizing indexing thro..