bf4

class DatabaseController < ApplicationController
  def database_dump
    database = Rails.configuration.database_configuration[Rails.env]["database"]
    send_file_headers!(:type => 'application/octet-stream', :filename => "#{database}_#{Time.now.to_s(:human)}.backup")

    pipe = IO.popen("pg_dump '#{database}' -F c")
    stream = response.stream
    while (line = pipe.read(1024)) # per https://gist.github.com/njakobsen/6257887#gistcomment-1238467
      stream.write line
      Thread.pass # per https://gist.github.com/njakobsen/6257887#gistcomment-1235792

bf4

#!/usr/bin/env bash

# Created by Benjamin Fleischer 2019
# Distributed under the MIT license
# 
# Usage:
#  MINUTE_RANGES="0...10 30...40" ./clock echo 'we done it'
#  DEBUG=true MINUTE_RANGES="0...10 30...40" ./clock echo 'we done it'
main() {
  local ranges

bf4

require './lib/adsjdbc-10.10.0.28.jar'
java_import java.sql.Driver
java_import java.sql.DriverManager
java_import 'com.extendedsystems.jdbc.advantage.ADSDriver'

class AdsAdapter

  def initialize(connect_string)
    @connect_string = connect_string
  end

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{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "description": "JSON:API Schema",
  "type": "object",
  "properties": {
    "link": { "$ref": "file://schemata/link.json#" },
    "meta": { "$ref": "file://schemata/meta.json#" }
  }
}

bf4

A collection of Linux commands and concepts I tend to forget

bf4

Step 0. Install Docker

Step 1. For your chosen project, decide where you want to store your notebooks and files in a workingfolder.

Step 2. Open that folder in the terminal cd workingfolder

Step 3. Run this command

docker run -it --rm -v $PWD:/home/jovyan/work -p 8888:8888 jupyter/all-spark-notebook

bf4

What

A technique for writing parsers.

Why

• Easy to understand
• Generally applicable
• Full power of the programming language at your disposal
• Declarative

bf4

Table of contents

• Concepts
• Reads
  • Basic Setup
  • Filtering
  • Custom Filtering
  • Sorting
  • Custom Sorting

bf4

module AMS
  module V09
    class Serializer < ActiveModel::Serializer

       def serializable_hash(adapter_options = nil,
                             options = {},
                             adapter_instance = self.class.serialization_adapter_instance)
         object.nil? ? nil : super
       end
    end

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  # Finds and yields relations in batches. Adapted from record.find_in_batches since that yields
  # arrays and we want to operate on relationships.
  # Adapted from:
  #   https://github.com/rails/rails/blob/4-2-stable/activerecord/lib/active_record/relation/batches.rb#L98-L115
  def find_in_batches(target, batch_size: default_batch_size, start: nil)
    relation = target
    if logger && (target.arel.orders.present? || target.arel.taken.present?)
      logger.warn("Scoped order and limit are ignored, it's forced to be batch order and batch size")
    end
    relation = relation.reorder(target.send(:batch_order)).limit(batch_size)