- 'postgres' user is superuser
# https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html | |
$dlurl = "https://awscli.amazonaws.com/AWSCLIV2.msi" | |
$installerPath = Join-Path $env:TEMP (Split-Path $dlurl -Leaf) | |
$ProgressPreference = 'SilentlyContinue' | |
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12 | |
Invoke-WebRequest $dlurl -OutFile $installerPath | |
Start-Process -FilePath msiexec -Args "/i $installerPath /passive" -Verb RunAs -Wait | |
Remove-Item $installerPath | |
$env:Path += ";C:\Program Files\Amazon\AWSCLIV2" |
#!/usr/bin/env bash | |
set -e | |
function usage() { | |
set -e | |
cat <<EOM | |
##### ecs-run ##### | |
Simple script for running tasks on Amazon Elastic Container Service | |
One of the following is required: | |
Required arguments: |
#!/usr/bin/env python3 | |
import argparse | |
import boto3 | |
import json | |
import os | |
from datetime import datetime | |
parser = argparse.ArgumentParser( |
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.idea |
# Drop these functions into your ~/.bashrc or ~/.bash_profile, wherever you keep your bashy goodness. | |
# Usage: cd to directory you want to serve up, fire one of these commands, navigate to http://0.0.0.0:{port number here} | |
# Start an HTTP server from a directory, optionally specifying the port | |
function serverpy() { | |
local port="${1:-8000}" | |
open "http://localhost:${port}/" | |
# Set the default Content-Type to `text/plain` instead of `application/octet-stream` | |
# And serve everything as UTF-8 (although not technically correct, this doesnβt break anything for binary files) | |
python -c $'import SimpleHTTPServer;\nmap = SimpleHTTPServer.SimpleHTTPRequestHandler.extensions_map;\nmap[""] = "text/plain";\nfor key, value in map.items():\n\tmap[key] = value + ";charset=UTF-8";\nSimpleHTTPServer.test();' "$port" |
Code for Keras plays catch blog post
python qlearn.py
- Generate figures
#Ambari API - Run all Service Checks In order to check the status and stability of your cluster it makes sense to run the service checks that are included in Ambari. Usually each Ambari Service provides its own service check, but their might be services that wont include any service check at all. To run a service check you have to select the service (e.g. HDFS) in Ambari and click "Run Service Check" in the "Actions" dropdown menu.
Service Checks can be started via the Ambari API and it is also possible to start all available service checks with a single API command. To bulk run these checks it is necessary to use the same API/method that is used to trigger a rolling restart of Datanodes (request_schedules). The "request_schedules" API starts all defined commands in the specified order, its even possible to specify a pause between the commands.
Available Service Checks:
Service Name | service_name | Command |
---|---|---|
HDFS | HDFS | HDFS_SERVICE_CHECK |