When it comes to analyzing large datasets in real-time, OLAP (Online Analytical Processing) databases play a crucial role. Elasticsearch and SingleStore are two popular options that have gained significant traction in recent years. In this blog post,...
When it comes to data storage and retrieval, two popular options emerge: MongoDB and Elasticsearch. But while they both play a crucial role in modern applications, they excel in different areas. This blog post will delve into their key distinctions a...
Filebeat is a lightweight log shipper from the Elastic Stack used to collect and forward logs from various sources. While it doesn't natively parse JSON data within log lines, you can configure it to handle JSON logs and send them for further process...
Streamlining Log Parsing with Filebeat Dissect In log management, efficiently extracting valuable insights from raw log data is important. Filebeat, a part of the Elastic Stack, offers the dissect processor as a powerful tool to achieve this objectiv...
In the preceding article, we explored Logstash's capability to ingest logs from a file. In this subsequent integration discussion, we will examine the comprehensive end-to-end integration process for handling logs. This process involves the local sto...
Continuing on some of the previous similiar integrations with Elasticsearch, Python and Spring. In this we will simply connect to Elasticsearch via NodeJS. Pre-requistes: NodeJS - You can download from https://nodejs.org/en/download ElasticSearch - 7...
Spring Boot 2.X and ElasticSearch 7.X
Ingesting Data via plain text Lets create a data-source via Native Index: curl --location 'http://localhost:8888/druid/indexer/v1/task' \ --header 'Content-Type: application/json' \ --data '{ "type": "index", "spec": { "dataSchema": { "...
Let's explore another feature of Elasticsearch, where you can build new fields based on currently available fields. For Example, if you have fields named first_name and second_name but in the response, you need a field named full_name. You can simply...