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sample docker compose

version: '3'
services:
  blob-consumer:
    container_name: article-blob-consumer-container-compose
    image: blob-consumer-image:1.0
    build:
 context: .

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• codepoint The Unicode standard describes how characters are represented by code points. A code point is an integer value, usually denoted in base 16. In the standard, a code point is written using the notation U+12CA to mean the character with value 0x12ca (4,810 decimal). The Unicode standard contains a lot of tables listing characters and their corresponding code points:

  U+12CA is a codepoint, which represents some particular character;

• A Unicode string is a sequence of code points, which are numbers from 0 through 0x10FFFF (1,114,111 decimal). This sequence needs to be represented as a set of bytes (meaning, values from 0 through 255) in memory. The rules for translating a Unicode string into a sequence of bytes are called an encoding.

• A character is represented on a screen or on paper by a set of graphical elements that’s called a glyph. The glyph for an uppercase A, for example, is two diagonal strokes and a horizontal stroke, though the exact details will depend on the font being used.

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class YoutubExtension {
    def featureName
}


class YoutubePlugin implements Plugin<Project>{

    @Override
    void apply(Project target) {

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apply from: 'plugins.gradle'


ext {
    dependencies_version = [
            dropwizard: [
                    core: '1.3.1'
            ]
    ]
}

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// imports a couple of java tasks
apply plugin: "java"

// List available tasks in the shell
> gradle tasks

// A Closure that configures the sourceSets Task
// Sets the main folder as Source folder (where the compiler is looking up the .java files)
sourceSets {
  main.java.srcDir "src/main"

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xpath 3.1 example

[
        for $result in //supplierAssortment
        return
        map {

           'articleCode': let $article_code := $result//articleCode/string()
                          return xs:integer($article_code),

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Contents

.. toctree::
   :caption: Table of Contents
   :name: mastertoc
   :maxdepth: 2

Components

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create a jupyter.conf supervisor setting file

[program:jupyter]
command = /home/ubuntu/virtual_envs/kaggle/bin/jupyter notebook --no-browser --config=/home/ubuntu/.jupyter/jupyter_notebook_config.py
environment=PATH="/home/ubuntu/virtual_envs/kaggle/bin:%(ENV_PATH)s"
directory = /home/ubuntu/ml
user = ubuntu
autostart = true
autorestart = true

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__author__ = 'pavan.tummalapalli'


import mysql.connector.pooling
import logging


class MySQLPool:
    """
    create a pool, when connect to mysql, which will decrease the time spent in

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Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196