不爲也 比不能也

Mapping types are going away. Elasticsearch 6.0 supports a single mapping type per index only, and it represents the first step on the way to removing types altogether.mapping type이 없어진다. Elasticsearch 6.0은 index 당 하나의 mapping type만 지원하며, 그것은 type을 완전히 제거하는 것의 첫 번째 단계이다.This blog post explains what types are, why we are removing them, how you can migrate your indices to a single type world, and ..

Elasticsearch 6.0 ships with two great improvements to help minimize index storage size. The best part about the improvements is they will require no special configuration changes or re-architectures, and in most cases will only require a simple upgrade and a newly created index. To illustrate the improvements, we’ll use Metricbeat, a lightweight tool for ingesting metrics into Elasticsearch.Ela..

Elasticsearch is a very versatile platform, that supports a variety of use cases, and provides great flexibility around data organisation and replication strategies. This flexibility can however sometimes make it hard to determine up-front how to best organize your data into indices and shards, especially if you are new to the Elastic Stack. While suboptimal choices will not necessarily cause pr..

In Elasticsearch 6.0 we’re introducing a new feature called Index Sorting. Users can now optimize Elasticsearch indexes to store documents on disk in a specific order. We’re very excited for Index Sorting, as it’s another useful tool in optimizing Elasticsearch performance! Elasticsearch 6.0 에서 Index Sorting 이라 불리는 새로운 기능을 도입하였다. 이제 사용자는 document를 disk에 특정 순서로 저장하여 Elasticsearch index를 최적화할 수 있다..

What If..."What if" questions are fun. "What if you had a time machine: when would you visit?" "What if you had one wish and it would come true: what would it be?" They're the types of hypothetical questions you can ask at a dinner party and get insights about what interests and motives somebody has if barriers were broken down. A few years ago at Elastic, we asked ourselves a "what if" that we ..

We often get questions about the order in which filters are executed, whether filters get executed before or after queries, etc. Those are indeed important questions: the recipe for quickly executing a query is often related to running the cheap bits before the expensive ones. You might have heard or read in the past that filters are executed before queries. While this statement is a good way to..

The idea of this article is to go over the capabilities of some of the features of Ingest node, which will be combined to parse a Comma Separated Value (CSV) file. We will go over what is an Ingest Node, what type of operations one can perform, and show a specific example starting from scratch to parse and display CSV data using the Elasticsearch and Kibana. 이 글의 목적은 CSV(Comma Separated Value) f..

If you are a frequent reader of this blog, you probably know that a lot of effort has already been put into making range queries faster. This time we are going to talk about recent improvements to the specific yet common case of range queries when they are used in conjunctions, ie. when they are ANDed with other queries.이 blog를 자주 접한 독자라면, 이미 range query를 더 빠르게 하기 위해 많은 노력을 했다는 것을 알 것이다. 이번에는 ra..

Elastic Cloud is on the tail end of eliminating a mix of memory issues that has caused problems for a lot of low-memory nodes, and in some rare cases even large nodes. Following the memory problems, we experienced connectivity issues on a handful of servers in eu-west-1 that affected any cluster with at least one node on these impacted servers.Elastic Cloud는 많은 memory가 작은 node와 일부 드문 경우에 큰 node에..

Elasticsearch provides failover capabilities by keeping multiple copies of your data in the cluster. In presence of network disruptions or failing nodes, changes might not make it to all the copies. This blog post showcases one of the internal mechanics of Elasticsearch to identify shard copies that are missing changes, providing an in-depth view on how two central components, the consensus modu..