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https://github.com/archan937/clickhouse

A Ruby database driver for Clickhouse
https://github.com/archan937/clickhouse

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A Ruby database driver for Clickhouse

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# Clickhouse [![Build Status](https://travis-ci.org/archan937/clickhouse.svg?branch=master)](https://travis-ci.org/archan937/clickhouse) [![Code Climate](https://codeclimate.com/github/archan937/clickhouse/badges/gpa.svg)](https://codeclimate.com/github/archan937/clickhouse) [![Test Coverage](https://codeclimate.com/github/archan937/clickhouse/badges/coverage.svg)](https://codeclimate.com/github/archan937/clickhouse/coverage) [![Gem](https://img.shields.io/gem/v/clickhouse.svg)](https://rubygems.org/gems/clickhouse) [![Gem](https://img.shields.io/gem/dt/clickhouse.svg)](https://rubygems.org/gems/clickhouse)



A Ruby database driver for ClickHouse (also Clickhouse CLI and web GUI included).



## Introduction



[ClickHouse](https://clickhouse.yandex) is a high-performance column-oriented database management system developed by [Yandex](https://yandex.com/company) which operates Russia's most popular search engine.



> ClickHouse manages extremely large volumes of data in a stable and sustainable manner. It currently powers Yandex.Metrica, world’s second largest web analytics platform, with over 13 trillion database records and over 20 billion events a day, generating customized reports on-the-fly, directly from non-aggregated data. This system was successfully implemented at CERN’s LHCb experiment to store and process metadata on 10bn events with over 1000 attributes per event registered in 2011.



On June 15th 2016, [Yandex open-sourced their awesome project](https://news.ycombinator.com/item?id=11908254) giving the community a [powerful asset](https://clickhouse.yandex/benchmark.html) which can compete with the big players like [Google BigQuery](https://cloud.google.com/bigquery/) and [Amazon Redshift](http://docs.aws.amazon.com/redshift/latest/mgmt/welcome.html) with an important advantage: the client can use ClickHouse in its infrastructure and does not have to pay for the cloud ([read more](https://translate.google.com/translate?sl=ru&tl=en&js=y&prev=_t&hl=en&ie=UTF-8&u=https://habrahabr.ru/company/yandex/blog/303282/)).



![Using the Sinatra-based Clickhouse client web GUI](http://res.cloudinary.com/archan937/video/upload/c_scale,q_100,vc_h264:high,w_800/v1478425941/clickhouse.gif)



### Why use the HTTP interface and not the TCP interface?



Well, the developers of ClickHouse themselves [discourage](https://github.com/yandex/ClickHouse/issues/45#issuecomment-231194134) using the TCP interface.



> TCP transport is more specific, we don't want to expose details.

Despite we have full compatibility of protocol of different versions of client and server, we want to keep the ability to "break" it for very old clients. And that protocol is not too clean to make a specification.



### Why use the JSONCompact format and not the native format?



Despite of it being the most efficient format, using the native format is also [discouraged](https://clickhouse.yandex/reference_en.html#Native) by the ClickHouse developers.



> The most efficient format. Data is written and read by blocks in binary format. For each block, the number of rows, number of columns, column names and types, and parts of columns in this block are recorded one after another. In other words, this format is "columnar" - it doesn't convert columns to rows. This is the format used in the native interface for interaction between servers, for using the command-line client, and for C++ clients.

>

> You can use this format to quickly generate dumps that can only be read by the ClickHouse DBMS. It doesn't make sense to work with this format yourself.



## Installation



Run the following command to install `Clickhouse`:



    $ gem install "clickhouse"



## Usage



### Quick start



Require the Clickhouse gem.



```ruby

require "clickhouse"

```



Setup the logging output.



```ruby

require "logger"

Clickhouse.logger = Logger.new(STDOUT)

```



Establish the connection with the ClickHouse server (using the default config).



```ruby

Clickhouse.establish_connection

=> true

```



List databases and tables.



```ruby

Clickhouse.connection.databases

I, [2016-10-17T22:54:26.587401 #81829]  INFO -- :

  SQL (64.0ms)  SHOW DATABASES;

=> ["default", "system"]



Clickhouse.connection.tables

I, [2016-10-17T22:54:51.454012 #81829]  INFO -- :

  SQL (61.7ms)  SHOW TABLES;

=> []

```



Create tables.



```ruby

Clickhouse.connection.create_table("events") do |t|

  t.fixed_string :id, 16

  t.uint16       :year

  t.date         :date

  t.date_time    :time

  t.string       :event

  t.uint32       :user_id

  t.float32      :revenue

  t.engine       "MergeTree(date, (year, date), 8192)"

end

=> true



Clickhouse.connection.query "DESCRIBE TABLE events" # or Clickhouse.connection.describe_table "events"

=> #

```



Check if table exists.



```ruby

Clickhouse.connection.exists_table("events")

=> true

```



Insert data.



```ruby

Clickhouse.connection.insert_rows(events, :names => %w(id year date time event user_id revenue)) do |rows|

  rows << [

    "d91d1c90",

    2016,

    "2016-10-17",

    "2016-10-17 23:14:28",

    "click",

    1982,

    0.18

  ]

  rows << [

    "d91d2294",

    2016,

    "2016-10-17",

    "2016-10-17 23:14:41",

    "click",

    1947,

    0.203

  ]

end

=> true

```



Query data.



```ruby

Clickhouse.connection.count :from => "events"

I, [2016-10-17T23:19:45.592602 #82196]  INFO -- :

  SQL (65.4ms)  SELECT COUNT(*)

FROM events;

=> 2



Clickhouse.connection.select_row :select => "COUNT(*), year, date, avg(revenue)", :from => "events", :group => "year, date"

I, [2016-10-17T23:22:47.340232 #82196]  INFO -- :

  SQL (67.7ms)  SELECT COUNT(*), year, date, avg(revenue)

FROM events

GROUP BY year, date;

=> [2, 2016, #, 0.1915000081062317]

```



### Connecting to a cluster



To connect to a cluster you only need to specify the URLs of the cluster servers in `:urls` of the configuration and that is it! The API of using Clickhouse stays the same.



```ruby

Clickhouse.establish_connection urls: %w(http://192.168.99.100:32809 http://192.168.99.100:32812 http://192.168.99.100:32815)

=> true



Clickhouse.connection.tables

I, [2016-10-21T11:56:47.375772 #63374]  INFO -- :

  SQL (6.2ms)  SHOW TABLES;

=> ["events"]

```



In case of a connection dropping out, Clickhouse will retry the request with another connection. The failed connection will also be removed from the connection pool.



```ruby

Clickhouse.establish_connection urls: %w(http://192.168.99.100:32809 http://192.168.99.100:1 http://192.168.99.100:32815)

=> true



Clickhouse.connection.pond.available.collect(&:url)

=> ["http://192.168.99.100:1", "http://192.168.99.100:32815", "http://192.168.99.100:32809"]



Clickhouse.connection.tables

I, [2016-10-21T12:11:55.974573 #63527]  INFO -- :

  SQL (7.1ms)  SHOW TABLES;

=> ["events"]



Clickhouse.connection.pond.available.collect(&:url)

=> ["http://192.168.99.100:32809", "http://192.168.99.100:32815"]

```



If all the connections failed, it will just return `nil`.



### Check out the tests



To see what more the `Clickhouse` gem has to offer, please take a look at the unit tests ( [test/unit/connection/test_query.rb](https://github.com/archan937/clickhouse/blob/master/test/unit/connection/test_query.rb) for instance).



## Using the Sinatra-based browser GUI and Thor-based CLI



As of `Clickhouse v0.1.8`, the gem is provided with both a Sinatra-based GUI and a Thor-based CLI. Starting either of them is very easy:



* `clickhouse s localhost:8123` - (the `s` stands for server as we know from `rails s`)

* `clickhouse c localhost:8123` - (the `c` stands for console as we know from `rails c`)



Multiple connections should be passed comma separated:



`clickhouse s https://myserver.com:8123,https://myserver.com:8124`



Use `clickhouse help` to:



```

$ clickhouse help server

Usage:

  clickhouse server [HOSTS]



Options:

  -p, [--port=N]

                             # Default: 1982

  -u, [--username=USERNAME]

  -P, [--password=PASSWORD]



Start a Sinatra server as ClickHouse client (HOSTS should be comma separated URIs)

```



## Using the console



As you probably already noticed, the `Clickhouse` repo is provided with a `script/console` file which you can use for development / testing purposes. Please note that you need to have a ClickHouse server running.



### Running a ClickHouse server on your Mac or Windows computer



Despite that the ClickHouse build is not intended to work on Mac OS X or Windows (only x86_64 with SSE 4.2 is supported), you can still run a ClickHouse server instance on both the operating systems using the [ClickHouse Server Docker Image](https://hub.docker.com/r/yandex/clickhouse-server/) hosted on [https://hub.docker.com/](Docker Hub).



The installation process is just a matter of two simple steps:



* Download and install [Kitematic](https://kitematic.com/) (Docker Toolbox) on your computer

* Install the [clickhouse-server](https://hub.docker.com/r/yandex/clickhouse-server/) container using Kitematic



Et voilà! Your ClickHouse server instance is up and running locally. Please make sure to use the proper IP address and port to connect with. You can find it at the container details within Kitematic (it is the `Access URL` corresponded with the `8123/tcp Docker port`).



### Example



    $ script/console

    Loading Clickhouse development environment (0.1.1)

    [1] pry(main)> connect! host: "192.168.99.100", port: 32770

    => true

    [2] pry(main)> conn.databases

    I, [2016-10-19T20:54:53.081388 #29847]  INFO -- :

      SQL (3.1ms)  SHOW DATABASES;

    => ["default", "system"]

    [3] pry(main)>



## Testing



Run the following command for testing:



    $ rake



You can also run a single test file:



    $ ruby test/unit/connection/test_query.rb



## Contact me



For support, remarks and requests, please mail me at [[email protected]](mailto:[email protected]).



## License



Copyright (c) 2016 Paul Engel, released under the MIT license



http://github.com/archan937 – http://twitter.com/archan937 – [email protected]



Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.