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* https://github.com/yandex/ClickHouse



### Drivers e conncetors
* https://github.com/yandex/clickhouse-jdbc
* https://github.com/DmitryBe/clickhouse-spark-connector

### UI
* https://github.com/smi2/tabix.ui

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import pandas as pd
pd.set_option('display.float_format', lambda x: '%.3f' % x)

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%pyspark

import os
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import StringIO
import matplotlib

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#!/bin/bash

# works with a file called VERSION in the current directory,
# the contents of which should be a semantic version number
# such as "1.2.3"

# this script will display the current version, automatically
# suggest a "minor" version update, and ask for input to use
# the suggestion, or a newly entered value.

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# The API enforces the following rate limits per API key on usage:
#
# Allows one simultaneous request
# 60 requests/minute
# 150 requests/hour
# 1000 requests/day

# The API will return a 429 response code when a rate limit is exceeded.
# You should reduce your rate of requests and retry throttled requests after the
# specified time.

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Sys.setenv(SPARK_HOME = "/usr/local/spark-1.5.2/")
library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib")))

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# The API enforces the following rate limits per API key on usage:
#
# Allows one simultaneous request
# 60 requests/minute
# 150 requests/hour
# 1000 requests/day

# The API will return a 429 response code when a rate limit is exceeded.
# You should reduce your rate of requests and retry throttled requests after the
# specified time.

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module Realtime

  class PusherWrapper
    attr_reader :socket

    def initialize
      Pusher.app_id = '<<app ID>>'
      Pusher.key = '<<app key>>'
      Pusher.secret = '<<secret key>>'