| import requests | |
| ARANGODB_ERRORS_FILE = "https://raw.githubusercontent.com/arangodb/arangodb/refs/heads/devel/lib/Basics/errors.dat" # noqa: E501 | |
| def generate_section(line, output): | |
| text = line[3:].strip() | |
| print("#" * (len(text) + 4), file=output) | |
| print(f"# {text} #", file=output) | |
| print("#" * (len(text) + 4) + "\n", file=output) |
| # Check inputs | |
| if (-not $setup) { $setup = "cluster" } | |
| if (-not $license) { $license = "enterprise" } | |
| if (-not $version) { $version = "3.12" } | |
| # Determine image name | |
| if ($license -eq "community") { | |
| $image_name = "arangodb" | |
| } elseif ($license -eq "enterprise") { | |
| $image_name = "enterprise" |
| # This script gathers all the pages of a manual and merges them into a PDF. | |
| # You'll need to play a bit with inspect-element in order to figure out the format the correct url, | |
| # but it should be easy to adapt it to any manual. | |
| # This script is specifically for https://www.manua.ls/audi/q3-2018/manual. | |
| # Their url format is https://www.manua.ls/viewer/{manual-id}/{page-number}/bg{page-number-hex}.png | |
| # Example: https://www.manua.ls/viewer/668006/100/bg64.png | |
| # Enjoy! | |
| import requests | |
| from tqdm import tqdm | |
| from PIL import Image |
| export ARANGODB_PATH="$HOME/arangodb" | |
| # Continue process listening on port | |
| function portcont() { | |
| kill -SIGCONT $(portpid "$1") | |
| } | |
| # Kill process listening on port | |
| function portkill() { | |
| kill -9 $(portpid "$1") |
| # importing libraries | |
| import pathlib | |
| import sys | |
| import speech_recognition as sr | |
| import os | |
| from pydub import AudioSegment | |
| from pydub.silence import split_on_silence | |
| # create a speech recognition object | |
| r = sr.Recognizer() |
| import arango | |
| import time | |
| url = f"http://localhost:8530" | |
| client = arango.ArangoClient(hosts=url) | |
| db = client.db(name="_system") | |
| print(db.version()) | |
| if not db.has_collection('x'): | |
| db.create_collection('x') |
This is in response to issue #18900.
It shows how to set up an arangodb cluster with 3 agents, 2 coordinators and 3 db severs, using docker-compose. This
is not the way I would set up a cluster in production, but it is ok for testing the cluster functionality. I recommend
checking out the official documentation,
especially Using the ArangoDB Starter.
docker-compose.yml
version: '3.7'
| # Script for parsing mealplans and generating a shopping list | |
| # python mealplan.py mealplan.txt > list.txt | |
| import sys | |
| import re | |
| def get_lines(file): | |
| names = ['Alex', 'Lucia'] |
| #!/bin/bash | |
| if [ $# -eq 0 ]; then | |
| proc="$(ps aux | grep arangod | grep -v grep)" | |
| else | |
| proc="$(ps aux | grep arangod | grep -v grep | grep $1)" | |
| fi | |
| echo "$proc" > ps.txt |
| #!/bin/bash | |
| # create build directory | |
| mkdir -p build | |
| # run cmake | |
| (cd build && cmake \ | |
| -DCMAKE_CXX_COMPILER="clang++" \ | |
| -DCMAKE_C_COMPILER="clang" \ | |
| -DCMAKE_BUILD_TYPE=RelWithDebInfo \ |