adamantnz

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adamantnz

gh stack-approve

Approve every open pull request in a GitHub stack with one command.

gh stack can link, sync, and merge. It cannot approve. After you have reviewed every layer, this submits gh pr review --approve on each open PR in the stack.

Install

Requires gh and jq.

adamantnz

> aws events describe-rule --name "airflow-start-scheduler-service" --profile test
{
    "Name": "airflow-start-scheduler-service",
    "Arn": "arn:aws:events:<region>:<accountid>:rule/airflow-start-scheduler-service",
    "ScheduleExpression": "cron(0/5 * * * ? *)",
    "State": "ENABLED",
    "Description": "runs 'airflow scheduler --run-duration 300' on airflow server every 300 seconds to ensure scheduler is always running"
}

adamantnz

import airflow
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
from pathlib import Path
import boto3


# dag methods

adamantnz

import os

# this is in the global scope so will run each time the file is parsed :( 
folder = "my_folder"
if not os.path.exists(folder):
    os.makedirs(folder)

def create_folder(folder):
    # this will only run when the method is explicitly called, much better! :)
    if not os.path.exists(folder):

adamantnz

import airflow
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
from pathlib import Path


print(
    """This print is in the global state, so it will print this string 

adamantnz

/* 
    Dynamically creates Redshift "alter column" SQL for AWS "Cost and Usage Reports" based on the "tagmapping" data 
    Note: Redshift column names are case-sensitive so the first query renames the duplicate usertags (if any)
*/
update awsbillingYYYYMM_tagmapping
    set usertag = b.usertag || '_' || cast(sequence as varchar)
from awsbillingYYYYMM_tagmapping a
inner join (
    select row_number() over (
            partition by lower(usertag) order by usertag desc

adamantnz

from datetime import date, datetime, timedelta
import json
import boto3
from botocore.exceptions import ClientError
import os

ddbRegion = os.environ['AWS_DEFAULT_REGION']
now = datetime.now().strftime("-%Y-%m-%d-%H-%M-%S")
backupRetention = 7

adamantnz

get-content -tail 10 -wait -path (Get-ChildItem -Path C:\logs\...\ | Sort-Object LastAccessTime -Descending | Select-Object -First 1).FullName

adamantnz

/* show running queries */
select pid, user_name, starttime, query
from stv_recents
where lower(status) = 'running';

/* show recent completed queries */
select pid, user_name, starttime, query
from stv_recents
where lower(status) = 'done'
order by starttime desc;