Category: Druid

Review the 10th Druid Meetup in Seoul, Korea

Last night was the Druid meetup day in Seoul! More than 50 Druid developers and users gathered to discuss opinions and have a meaningful time together. It was the event that most people attended so far. We are so happy for about it. Below is materials of last night sessions. Running TPC-H on Druid from…
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White paper of Druid optimized for Metatron

We happily introduce a white paper of Druid optimized version for Metatron! In the paper, we briefly tell you the background of original Druid development and characteristics of the Druid. Then we summarize performance test results of the original Druid. Lastly, we introduce Metatron and the optimized Druid. Refer to an attachment file for the…
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Running TPC-H using SQL in Druid

Since 2016, there have been frequent requests to run SQL in the druid. As a result, Apache Druid introduced it as a experimental feature (http://druid.io/docs/latest/querying/sql). Using it, we improve the function to support more powerful SQL than original’s. Here you can download the Metatron engine powered by Druid here. Built-in SQL in Apache Druid Apache…
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Monitoring Metatron system through Graphite

Graphite, a time series database optimized for time series data collection, is a pretty attractive tool for gathering system metrics. Druid is supporting Graphite emmiter extension in it. This extension emits druid metrics to a graphite carbon server. Detailed configuration information is linked here. This article describes how to monitor the Metatron system log using…
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Introduction to Map Analysis

It takes a long time to introduce metatron’s Map analysis. Druid’s metatron distribution now supports a variety of location-based analyzes. Upcoming releases will include some experimental features. We plan to release the completed version in 3.1.0 scheduled for January 2019, starting with the introduction of 3.0.5 from the upcoming release. We share a simple design…
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Evaluation on Druid

Evaluation on the Druid’s performance Since the Druid aims for real-time search data store, performance evaluation focuses on two aspects: – Query latency – Ingestion latency Minimizing consumed time on query processing and data ingestion is the key to being ‘real-time’. Following is the evaluations on Druid by Druid developers and SK Telecom. This paper…
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Indexing and searching full text data with Druid

gis.csv By default, Druid can load and search text data in a dimension. However, if the length of the text is long, it has a search performance issue and there is a limit to the complex text search like a search engine. How do you search for data that has eight or fewer words between…
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Metatron distributed Druid

Metatron implements distributed in-memory engine based on Druid which is a high-performance, column-oriented, distributed data store. It supports users can discover insights from data intuitively and query for the massive volume of data. Adaptation of Druid Technology Why choose Druid? Metatron needed an end-to-end solution that enables management of the whole process of data analysis…
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