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Use of the Flume log Collection framework

Flume is a distributed, reliable, and highly available system for collecting, aggregating, and transferring massive logs. Flume can collect files, socket packets, files, folders, kafka and other forms of source data, and output the collected data (sink) to many external storage systems such as HDFS, hbase, Hive, and Kafka. For the general...

Flume distributed log Collection system

Apache Flume is a distributed, highly available data collection system. It collects data from different data sources and sends it to the storage system after aggregation. It is usually used to collect log data. Flume is available in NG and OG (prior to 1.0) versions. NG has been completely refactored from OG and is currently the most widely used version. The following...

Description Description Spark Shuffle memory usage

When using Spark to perform calculations, we often encounter jobs that are Out Of Memory(OOM), and most Of them occur in Shuffle. In Spark Shuffle, which specific areas use more memory and may result in OOM? To this end, this paper will focus on the above...

Distributed Advanced (21) Introduction to Flume fundamentals

The overall development process of Hadoop business: It can be seen from the business development flow chart of Hadoop that data collection is a very important and inevitable step in the business process of big data. (3) It has high scalability. That is, when the amount of data increases, you can expand horizontally by adding nodes. Open source logging systems, including Facebook's...

Flume is in favor of big data practices

Flume is a distributed, highly reliable, scalable data acquisition service. Flume has been playing the role of a stable and reliable "porter" of log data in the great big data business. This paper mainly describes the application practice of Youzan Big data department in Flume, and also intersperses some of our understanding of Flume. Understand Flume's reliability for event delivery...

Introduction to Apache Flume

Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating, and moving large amounts of log data from many different sources into a centralized data store. Flume is not only used for log data. Because the data source can be customized, Flume can be used to transmit a large amount of event data, including not only network traffic data, social media generation...

How to choose between Kafka and Flume

This article has participated in the good article call order activity, click to see: back end, big front end double track submission, 20,000 yuan prize pool for you to challenge! . First, let's take a look at what Kafka is. In the architecture of big data, data collection and transmission is a very important link

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