When our department found clickhouse such a good data storage warehouse, after a period of exploratory testing, the online most of the data analysis related to the business migration to the Clickhouse. This article will show how we can access the Nginx log through Kafka to Clickhouse. Of course, other application logs can also refer to the following logic to acce
Clickhouse currently only supports deployment under Ubuntu, and there are relatively few documents in China>vi/etc/apt/sources.list#在最后一行追加#ubuntu16.04 using xenial:Deb Http://repo.yandex.ru/clickhouse/xenial Stable Main#ubuntu14.04 Using trusty:Deb Http://repo.yandex.ru/clickhouse/Trusty Stable Main#ubuntu12.04 using precise:Deb Http://repo.yandex.ru/
Objective
In the K8S resource audit and billing this piece, the container and the virtual machine have very big difference. The container is not easy to implement relative to the virtual machine.Resource metrics can be collected using Heapster or Prometheus. Before the article has introduced, Prometheus Storage bottleneck and query large data volume, easy to oom these two problems. So I chose the heapster. In addition, Heapster not only internally implemented a lot of aggregator and calculator,
use hangout to Kafka data for real-time cleaning writes Clickhouse
What is hangout
Hangout can be said to be a Java version of the Logstash, can be data collection, analysis and the analysis of the results written to the designated placeProject Address What is Clickhouse
Clickhouse is a database of data analysis, open source by YandexProject Address What is Ha
This is a creation in
Article, where the information may have evolved or changed.
Golang Driver for clickhouse column database
Key Features
Using native Clickhouse TCP client-server protocol
Compatible with Database/sql libraries
The load balance of rotation algorithm is realized.
Dsn
Username/password-auth credentials
Database-select the current default database
Read_timeout/wri
when used for post-analysis
Grafana read support, priority consideration
Need to support both read and write
Based on the above points, clickhouse satisfies our usage scenarios.Clickhouse is a high-performance, column-oriented database that supports rich analytic functions because it focuses on analysis.
The following are some of the official recommended usage scenarios for Clickhouse:
Web
source code, can support remote reading,Query matching that depends on whether the store supports regular expressions. The implementation of the next section will explain Prometheus-postgresql-adapter and how to achieve a adapter.Simultaneous support for remote read-write
Cortex from the Weave company, the entire structure of the Prometheus to do the upper package, using a lot of components. Slightly more complex.
InfluxDB Open source version does not support clustering. For large metr
threadsOccasionally, temporary threads are derived during the Proxysql run in order to send the KILL statement to the back end to kill the query thread on the backend server that is unresponsive to the query for a long time.In addition, the Ilbmariadbclient library uses some background threads to perform some specific asynchronous interaction tasks with the backend MySQL server.There are also modules, such as the built-in HTTP server, cluster, Clickhouse
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