https://chrismckee.co.uk/creating-mounting-new-drives-in-ubuntu-azure/
There are at least three programs I know of that list device mount points: mount, df and lsblk:
| ref: refs/heads/main |
https://chrismckee.co.uk/creating-mounting-new-drives-in-ubuntu-azure/
There are at least three programs I know of that list device mount points: mount, df and lsblk:
| # Para correr Portainer con Data Local | |
| docker run -d -p 9000:9000 --restart always -v /var/run/docker.sock:/var/run/docker.sock -v /data-portainer:/data portainer/portainer | |
| docker run -d -v /data/rancher-mysql:/var/lib/mysql -p 8080:8080 -p 80:8080 --restart=unless-stopped rancher/server:latest |
| # Deshabilitar el firewall | |
| sudo ufw status verbose | |
| sudo ufw disable | |
| # Instalar Apache | |
| sudo apt -get install apache2 | |
| # Buscar paquetes actuales de mysql | |
| sudo apt-cache search mysql | grep mysql | more |
| Estos pasos son para instalar Dremio en Ubuntu | |
| ### Primero instalamos jre | |
| sudo apt-get update | |
| sudo apt-get install default-jre | |
| https://www.digitalocean.com/community/tutorials/instalar-java-en-ubuntu-con-apt-get-es | |
| #LINKS DE INSTALACION |
| # Mostrar | |
| defaults write com.apple.finder AppleShowAllFiles YES | |
| killall Finder /System/Library/CoreServices/Finder.app | |
| # Ocultar | |
| defaults write com.apple.finder AppleShowAllFiles NO | |
| killall Finder /System/Library/CoreServices/Finder.app |
Tener en cuenta que se puede leer con OpenCSVSerde http://docs.aws.amazon.com/athena/latest/ug/csv.html
| # Listar en databricks el archivo | |
| %fs ls dbfs:/databricks-datasets/online_retail/data-001/ | |
| # En databricks ya esta inicializado el objeto SparkSession pero sino se puede inicializar asi | |
| from pyspark.sql import SparkSession | |
| spark = SparkSession.builder.master("local").appName("Word Count").config("spark.some.config.option", "some-value").getOrCreate() | |
| # Leer CSV a un RDD | |
| path = "dbfs:/databricks-datasets/online_retail/data-001/data.csv" | |
| data = spark.read.csv(path) |