Skip to main content

Lightweight, agent-based, distributed scheduler

Project description

Cicada scheduler

License Code style: black

Centralized Distributed Scheduler

Overview

  • Cicada is best understood as a lightweight management layer between linux CRON and the end executables
  • It requires a central database for setting up and monitoring schedules
  • Schedules can be launched on any node that has registered itself to the database
  • Nodes act as agents pulling scheduling information from the database.

Advantages over using only CRON

  • A central log is kept of schedule executions and results
  • Offers some schedule dependance management
  • Non-running schedules can easily be moved from one node to another
  • Running schedules can easily be terminated

Execution flow diagram

Execution flow diagram

Setup Central Database

Verified on PostgreSQL versions 9.6 to 12.9

  1. Execute as postgres user setup/db_and_user.sql
  2. Change cicada user password
  3. Execute as cicada user setup/schema.sql

Database ERD

Database ERD

Setup Node

Verified on Ubuntu 18.04 and 20.04 LTS

Prerequisites

  • ntpd
  • cron
  • python3.8
# Install Cicada Scheduler
sudo mkdir -p /opt/cicada
sudo chown -R $USER:$USER /opt/cicada
cd /opt/cicada
DIR=$(pwd)

cd $DIR
git clone git@github.com:transferwise/cicada.git .
make python=python3.8

# Update the db_cicada section of the environmental config file
cp $DIR/config/example.yml $DIR/config/definitions.yml
vim $DIR/config/definitions.yml

# Register new Node in Database
$DIR/bin/cicada register_server

# Add linux CRON job to check central scheduler every minute
echo "* * * * * $DIR/venv/bin/python3 $DIR/venv/bin/cicada exec_server_schedules" | crontab

Administration

cli help

cicada --help

(Re)register a server to Cicada

cicada register_server

Add or Update a new schedule

cicada upsert_schedule --help

schedule_id             | Id of the schedule
schedule_description    | Schedule description and comments
server_id               | Id of the server where the schedule will run
schedule_order          | run order for the schedule. lowest is first. is_async jobs will be execute in parallel
is_async                | 0=Disabled 1=Enabled | is_async jobs execute in parallel
is_enabled              | 0=Disabled 1=Enabled
adhoc_execute           | 0=Disabled 1=Enabled | Execute at next minute, regardless of other settings
abort_running           | 0=Disabled 1=Enabled | If the job is running, it will be terminated as soon as possible
interval_mask           | When to execute the command | unix crontab (minute hour dom month dow)
first_run_date          | The schedule will not execute before this datetime
last_run_date           | The schedule will not execute after this datetime
exec_command            | Command to execute
parameters              | Parameters for exec_command
adhoc_parameters        | If specified, will override parameters for one run
schedule_group_id       | Optional field to help with schedule grouping

Launch a schedule once, as soon as possible

  • adhoc_execute is a one-time schedule modification.
  • As soon as adhoc_execution has been used, it is reset.
cicada upsert_schedule --schedule_id={schedule_id} --adhoc_execute={1}

Launch the next run of a schedule with different parameters

  • adhoc_parameters is a one-time schedule modification.
  • As soon as adhoc_parameters has been used, it is reset.
cicada upsert_schedule --schedule_id={schedule_id} ==adhoc_parameters={do something diffident}

Abort a running schedule

  • abort_running is a one-time schedule modification.
  • As soon as abort_running has been used, it is reset.
cicada upsert_schedule --schedule_id={schedule_id} --abort_running={1}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cicada-0.8.3.tar.gz (26.2 kB view details)

Uploaded Source

Built Distribution

cicada-0.8.3-py3-none-any.whl (23.1 kB view details)

Uploaded Python 3

File details

Details for the file cicada-0.8.3.tar.gz.

File metadata

  • Download URL: cicada-0.8.3.tar.gz
  • Upload date:
  • Size: 26.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for cicada-0.8.3.tar.gz
Algorithm Hash digest
SHA256 4f2a45b55ffc2e86101fae5b1d301c066b554e383badc9aa9e7b1a7feb572425
MD5 f6ecb55b95151788175ce794e1b87c04
BLAKE2b-256 956513c939c9699e245e8a482574779bd8e5eec056bc61f541e67f1506b23d14

See more details on using hashes here.

File details

Details for the file cicada-0.8.3-py3-none-any.whl.

File metadata

  • Download URL: cicada-0.8.3-py3-none-any.whl
  • Upload date:
  • Size: 23.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for cicada-0.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b5ba2d2a7deed6c97d4b8298ffca71983d09ad714817c2aaf003b574cd394f9a
MD5 6ea0e2ccb35a27bc47f35090b08b9691
BLAKE2b-256 c0a06ab3241c19d14e2fb8e7790330d7ba5832b886e90f7b965171b498c54332

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page