marhan

#!/bin/bash

# Script to simplify the release flow.
# 1) Fetch the current release version
# 2) Increase the version (major, minor, patch)
# 3) Add a new git tag
# 4) Push the tag

# Parse command line options.
while getopts ":Mmpd" Option

marhan

FROM gradle:6.3-jdk11

# Install Docker client
ARG DOCKER_VERSION=19.03.8
RUN curl -fsSL https://download.docker.com/linux/static/stable/`uname -m`/docker-$DOCKER_VERSION.tgz | tar --strip-components=1 -xz -C /usr/local/bin docker/docker

# Install Kubectl
RUN curl -LfsO https://storage.googleapis.com/kubernetes-release/release/v1.18.0/bin/linux/amd64/kubectl \
    && chmod +x ./kubectl \
    && mv ./kubectl /usr/local/bin/kubectl

marhan

# Markus Bash Prompt, inspired by "Sexy Prompt"

if tput setaf 1 &> /dev/null; then
    if [[ $(tput colors) -ge 256 ]] 2>/dev/null; then
      MAGENTA=$(tput setaf 9)
      ORANGE=$(tput setaf 172)
      GREEN=$(tput setaf 190)
      PURPLE=$(tput setaf 141)
      WHITE=$(tput setaf 0)
    else

marhan

version: '3'

services:

  zeppelin:
    build: ./zeppelin/docker
    image: zeppelin:latest
    ports:
      - 10000:8080
    volumes:

marhan

var account = spark.read
  .format("jdbc")
  .option("url", "jdbc:postgresql://localhost:5432/zeppelin")
  .option("dbtable", "public.account")
  .option("user", "zeppelin")
  .option("password", "zeppelin")
  .option("driver", "org.postgresql.Driver")
  .load()

marhan

account.write
  .format("jdbc")
  .option("url", "jdbc:postgresql://localhost:5432/zeppelin")
  .option("dbtable", "public.account")
  .option("user", "zeppelin")
  .option("password", "zeppelin")
  .option("driver", "org.postgresql.Driver")
  .mode("overwrite")
  .save

marhan

val filesPath = "/Volumes/Volume/bank-account-files/*.csv"

import org.apache.spark.sql.types.{StructType, StructField, StringType, DecimalType};

val customSchema = StructType( Array( StructField("Buchung", StringType, true), 
                                      StructField("Wert", StringType, true),
                                      StructField("Verwendungszweck", StringType, true),
                                      StructField("Betrag", StringType, true) ))

val df = sqlContext.read.format("com.databricks.spark.csv").

marhan

#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 715915264 bytes for committing reserved memory.
# Possible reasons:
#   The system is out of physical RAM or swap space
#   In 32 bit mode, the process size limit was hit
# Possible solutions:
#   Reduce memory load on the system
#   Increase physical memory or swap space
#   Check if swap backing store is full

marhan

.DS_Store
.DocumentRevisions-V100
.Spotlight-V100
.TemporaryItems
.Trashes
.com.apple.timemachine.donotpresent
.fseventsd
_gsdata_

marhan

#!/bin/bash
rsync -avzi \
--delete --delete-excluded --force-delete --progress \
--exclude-from /Volumes/MyData/backup-excluded.txt \
/Volumes/MyData/ /Volumes/Backup/MyData/