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• Please retrieve information from AWS

• Then configure the profile on .aws/config
  • Remember to delete previous credentials

[default]
output=json

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You have to do 2 things in order to allow your container to access your host's postgresql database

1. Make your postgresql listen to an external ip address
2. Let this client ip (your docker container) access your postgresql database with a given user

Obs: By "Host" here I mean "the server where docker is running on".

Make your postgresql listen to an external ip address

Find your postgresql.conf (in case you don't know where it is)

$ sudo find / -type f -name postgresql.conf

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# Reference
# https://github.com/Delgan/loguru/issues/302

from logging import __file__, Handler, LogRecord, currentframe
from sys import stdout, stderr

class InterceptHandler(Handler):
    def emit(self, record: LogRecord):
        # Get corresponding Loguru level if it exists
        try:

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-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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# PROS: Easy to use in CRUDs
# CONS: Invalid autocompletion

from inspect import isclass

from pydantic import BaseModel, create_model
from pydantic_core import SchemaSerializer, SchemaValidator


def omit(*fields):

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-- Reference
-- https://stackoverflow.com/questions/46470030/postgresql-index-size-and-value-number

SELECT
  i.relname "Table Name"
  , indexrelname "Index Name"
  , pg_size_pretty(pg_total_relation_size(relid)) As "Total Size"
  , pg_size_pretty(pg_indexes_size(relid)) as "Total Size of all Indexes"
  , pg_size_pretty(pg_relation_size(relid)) as "Table Size"
  , pg_size_pretty(pg_relation_size(indexrelid)) "Index Size"

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#!/bin/bash

icon_name="$1"
icon_directory="/usr/share/icons"

find "$icon_directory" -name "*$icon_name*"

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import subprocess
import IPython
import duckdb

def main(log_group):
    def process_log_entry(timestamp, log_group, log_entry):
        conn.execute(
            "INSERT INTO cloudwatch_logs (timestamp, log_group, log_entry) VALUES (?, ?, ?)",
            [timestamp, log_group, log_entry],
        )

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import subprocess
import IPython
import psycopg2


def main(log_group):
    def process_log_entry(timestamp, log_group, log_entry):
        cursor.execute(
            "INSERT INTO cloudwatch_logs (timestamp, log_group, log_entry) VALUES (%s, %s, %s)",
            (timestamp, log_group, log_entry)

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"""Creating thread safe and managed sessions using SQLAlchemy.

The sessions that are created are expected to be:
- thread safe
- handle committing
- handle rolling back on errors
- handle session removal/releasing once context or thread is closed.

Author: Nitish Reddy Koripalli
License: MIT