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https://github.com/quentin-js/kestra-demo
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
https://github.com/quentin-js/kestra-demo
Last synced: about 2 months ago
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Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
- Host: GitHub
- URL: https://github.com/quentin-js/kestra-demo
- Owner: quentin-js
- License: apache-2.0
- Fork: true (kestra-io/kestra)
- Created: 2023-02-28T13:36:52.000Z (over 1 year ago)
- Default Branch: develop
- Last Pushed: 2023-02-28T14:03:18.000Z (over 1 year ago)
- Last Synced: 2024-07-12T03:33:30.212Z (2 months ago)
- Homepage: https://kestra.io
- Size: 8.88 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
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README
Infinitely scalable open source orchestration & scheduling platform.
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## Demo
Play with our [demo app](https://demo.kestra.io)!
## What is Kestra ?
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
- 🔀 **Any kind of workflow**: Workflows can start simple and progress to more complex systems with branching, parallel, dynamic tasks, flow dependencies
- 🎓 **Easy to learn**: Flows are in simple, descriptive language defined in YAML—you don't need to be a developer to create a new flow.
- 🔣 **Easy to extend**: Plugins are everywhere in Kestra, many are available from the Kestra core team, but you can create one easily.
- 🆙 **Any triggers**: Kestra is event-based at heart—you can trigger an execution from API, schedule, detection, events
- 💻 **A rich user interface**: The built-in web interface allows you to create, run, and monitor all your flows—no need to deploy your flows, just edit them.
- ⏩ **Enjoy infinite scalability**: Kestra is built around top cloud native technologies—scale to millions of executions stress-free.
**Example flow:**
```yaml
id: my-first-flow
namespace: my.company.teams
inputs:
- type: FILE
name: uploaded
description: A Csv file to be uploaded through API or UI
tasks:
- id: archive
type: io.kestra.plugin.gcp.gcs.Upload
description: Archive the file on Google Cloud Storage bucket
from: "{{ inputs.uploaded }}"
to: "gs://my_bucket/archives/{{ execution.id }}.csv"
- id: csvReader
type: io.kestra.plugin.serdes.csv.CsvReader
from: "{{ inputs.uploaded }}"
- id: fileTransform
type: io.kestra.plugin.scripts.nashorn.FileTransform
description: This task will anonymize the contactName with a custom nashorn script (javascript over jvm). This show that you able to handle custom transformation or remapping in the ETL way
from: "{{ outputs.csvReader.uri }}"
script: |
if (row['contactName']) {
row['contactName'] = "*".repeat(row['contactName'].length);
}
- id: avroWriter
type: io.kestra.plugin.serdes.avro.AvroWriter
description: This file will convert the file from Kestra internal storage to avro. Again, we handling ETL since the conversion is done by Kestra before loading the data in BigQuery. This allow you to have some control before loading and to reject wrong data as soon as possible.
from: "{{ outputs.fileTransform.uri }}"
schema: |
{
"type": "record",
"name": "Root",
"fields":
[
{ "name": "contactTitle", "type": ["null", "string"] },
{ "name": "postalCode", "type": ["null", "long"] },
{ "name": "entityId", "type": ["null", "long"] },
{ "name": "country", "type": ["null", "string"] },
{ "name": "region", "type": ["null", "string"] },
{ "name": "address", "type": ["null", "string"] },
{ "name": "fax", "type": ["null", "string"] },
{ "name": "email", "type": ["null", "string"] },
{ "name": "mobile", "type": ["null", "string"] },
{ "name": "companyName", "type": ["null", "string"] },
{ "name": "contactName", "type": ["null", "string"] },
{ "name": "phone", "type": ["null", "string"] },
{ "name": "city", "type": ["null", "string"] }
]
}
- id: load
type: io.kestra.plugin.gcp.bigquery.Load
description: Simply load the generated from avro task to BigQuery
avroOptions:
useAvroLogicalTypes: true
destinationTable: kestra-prd.demo.customer_copy
format: AVRO
from: "{{outputs.avroWriter.uri }}"
writeDisposition: WRITE_TRUNCATE
- id: aggregate
type: io.kestra.plugin.gcp.bigquery.Query
description: Aggregate some data from loaded files
createDisposition: CREATE_IF_NEEDED
destinationTable: kestra-prd.demo.agg
sql: |
SELECT k.categoryName, p.productName, c.companyName, s.orderDate, SUM(d.quantity) AS quantity, SUM(d.unitPrice * d.quantity * r.exchange) as totalEur
FROM `kestra-prd.demo.salesOrder` AS s
INNER JOIN `kestra-prd.demo.orderDetail` AS d ON s.entityId = d.orderId
INNER JOIN `kestra-prd.demo.customer` AS c ON c.entityId = s.customerId
INNER JOIN `kestra-prd.demo.product` AS p ON p.entityId = d.productId
INNER JOIN `kestra-prd.demo.category` AS k ON k.entityId = p.categoryId
INNER JOIN `kestra-prd.demo.rates` AS r ON r.date = DATE(s.orderDate) AND r.currency = "USD"
GROUP BY 1, 2, 3, 4
timePartitioningField: orderDate
writeDisposition: WRITE_TRUNCATE
```
## Getting Started
To get a local copy up and running, please follow these steps.
### Prerequisites
Make sure you have already installed:
- [Docker](https://docs.docker.com/engine/install/)
- [Docker Compose](https://docs.docker.com/compose/install/)
### Launch Kestra
- Download the compose file [here](https://github.com/kestra-io/kestra/blob/develop/docker-compose.yml) and save it with the name `docker-compose.yml`, for linux and macos, you can run `wget https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.yml`
- Run `docker-compose up -d`
- Open `http://localhost:8080` on your browser
- Follow [this tutorial](https://kestra.io/docs/getting-started/) to create your first flow.
- Read the [documentation](https://kestra.io/docs/) to understand how to
- [Develop your flows](https://kestra.io/docs/developer-guide/)
- [Deploy Kestra](https://kestra.io/docs/administrator-guide/)
- Use our [Terraform provider](https://kestra.io/docs/terraform/)
- Develop your [own plugins](https://kestra.io/docs/plugin-developer-guide/)
## Plugins
Kestra is built on a [plugin system](https://kestra.io/plugins/). You can find your plugin to interact with your provider; alternatively, you can follow [these steps](https://kestra.io/docs/plugin-developer-guide/) to develop your own plugin. Here are the official plugins that are available:
Airbyte
Amazon S3
Avro
Azure Blob Storage
Bash
Big Query
CSV
Cassandra
ClickHouse
DBT
Debezium MYSQL
Debezium Postgres
Debezium Microsoft SQL Server
DuckDb
ElasticSearch
Fivetran
Email
FTP
FTPS
Google Cloud Storage
Google Drive
Google Sheets
Groovy
Http
JSON
Jython
Kafka
Kubernetes
MQTT
Microsoft SQL Server
MongoDb
MySQL
Nashorn
Node
Open PGP
Oracle
Parquet
Apache Pinot
Postgres
Power BI
Apache Pulsar
Python
Redshift
Rockset
SFTP
ServiceNow
Singer
Slack
Snowflake
Soda
Spark
Tika
Trino
Vectorwise
XML
Vertex AI
Vertica
This list is growing quickly as we are actively building more plugins, and we welcome contributions!
## Community Support
Join our community if you need help, want to chat, or have any other questions for us:
- [GitHub](https://github.com/kestra-io/kestra/discussions) - Discussion forums and updates from the Kestra team
- [Twitter](https://twitter.com/kestra_io) - For all the latest Kestra news
- [Slack](https://api.kestra.io/v1/communities/slack/redirect) - Join the conversation! Get all the latest updates and chat with the devs
## Roadmap
See the [open issues](https://github.com/kestra-io/kestra/issues) for a list of proposed features (and known issues) or look at the [project board](https://github.com/orgs/kestra-io/projects/2).
## Developing locally & Contributing
We love contributions big or small, check out [our guide](https://github.com/kestra-io/kestra/blob/develop/.github/CONTRIBUTING.md) on how to get started.
See our [Plugin Developer Guide](https://kestra.io/docs/plugin-developer-guide/) for developing Kestra plugins.
## License
Apache 2.0 © [Kestra Technologies](https://kestra.io)