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airbyte | Airbyte is an opensource EL platform that helps you replicate your data in your warehouses, lakes and databases.

 by   airbytehq Java Version: v0.36.2-alpha License: Non-SPDX

 by   airbytehq Java Version: v0.36.2-alpha License: Non-SPDX

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kandi X-RAY | airbyte Summary

airbyte is a Java library typically used in Big Data, Docker, Kafka, Spark applications. airbyte has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However airbyte has a Non-SPDX License. You can install using 'pip install airbyte' or download it from GitHub, PyPI.
Data integration made simple, secure and extensible. The new open-source standard to sync data from applications, APIs & databases to warehouses, lakes & other destinations. Airbyte is on a mission to make data integration pipelines a commodity. Here's a list of our connectors with their health status.
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • airbyte has a medium active ecosystem.
  • It has 6468 star(s) with 1236 fork(s). There are 121 watchers for this library.
  • There were 10 major release(s) in the last 6 months.
  • There are 2520 open issues and 3415 have been closed. On average issues are closed in 31 days. There are 217 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of airbyte is v0.36.2-alpha
airbyte Support
Best in #Java
Average in #Java
airbyte Support
Best in #Java
Average in #Java

quality kandi Quality

  • airbyte has no bugs reported.
airbyte Quality
Best in #Java
Average in #Java
airbyte Quality
Best in #Java
Average in #Java

securitySecurity

  • airbyte has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
airbyte Security
Best in #Java
Average in #Java
airbyte Security
Best in #Java
Average in #Java

license License

  • airbyte has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
airbyte License
Best in #Java
Average in #Java
airbyte License
Best in #Java
Average in #Java

buildReuse

  • airbyte releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
airbyte Reuse
Best in #Java
Average in #Java
airbyte Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed airbyte and discovered the below as its top functions. This is intended to give you an instant insight into airbyte implemented functionality, and help decide if they suit your requirements.

  • Launch the worker app .
  • Create and populate the actor .
  • Auto disable connection disable .
  • Parse integration configuration options .
  • Populate actor OAuth parameter .
  • Gets the field definition .
  • Write the given list of standard source definitions .
  • Gets the replication runnable .
  • Copies the secrets from the source object to the destination .
  • Replies a replica replication .

airbyte Key Features

Built for extensibility: Adapt an existing connector to your needs or build a new one with ease.

Optional normalized schemas: Entirely customizable, start with raw data or from some suggestion of normalized data.

Full-grade scheduler: Automate your replications with the frequency you need.

Real-time monitoring: We log all errors in full detail to help you understand.

Incremental updates: Automated replications are based on incremental updates to reduce your data transfer costs.

Manual full refresh: Sometimes, you need to re-sync all your data to start again.

Debugging autonomy: Modify and debug pipelines as you see fit, without waiting.

Quick start

copy iconCopydownload iconDownload
git clone https://github.com/airbytehq/airbyte.git
cd airbyte
docker-compose up

Implementing Docusign Authentication using Requests

copy iconCopydownload iconDownload
Send_an_API_request(url, request_details, etc):
   access_token = Get_access_token(user_id);
   api_results = send_api_request(access_token, url, request_details, etc)
   return api_results;

Get_access_token(user_id):
    (access_token, expire_time) = database_lookup(user_id);
    # if access_token is about to expire or we don't have one,
    # create a new access_token and store it
    if (
        ((current_time + 10minutes) > expire_time)
        or
        (access_token is null)
       ):
        # Make a new JWT request
        jwt = make_jwt(user_id);
        signed_jwt = sign(jwt, private_key)
        (access_token, expire_sec) = send_jwt_request(signed_jwt)
        database_store (user_id, access_token, current_time + expire_sec)
    return access_token

Invalid resource manager ID in primary checkpoint record

copy iconCopydownload iconDownload
...
    spec:
      containers:
        - name: airbyte-db-container
          image: airbyte/db
          command: ["sh"]
          args: ["-c", "while true; do echo $(date -u) >> /tmp/run.log; sleep 5; done"]
...
kubectl exec -it -n airbyte airbyte-db-xxxx -- sh
# dry-run first
pg_resetwal --dry-run /var/lib/postgresql/data/pgdata
pg_resetwal /var/lib/postgresql/data/pgdata
Write-ahead log reset
-----------------------
...
    spec:
      containers:
        - name: airbyte-db-container
          image: airbyte/db
          command: ["sh"]
          args: ["-c", "while true; do echo $(date -u) >> /tmp/run.log; sleep 5; done"]
...
kubectl exec -it -n airbyte airbyte-db-xxxx -- sh
# dry-run first
pg_resetwal --dry-run /var/lib/postgresql/data/pgdata
pg_resetwal /var/lib/postgresql/data/pgdata
Write-ahead log reset
-----------------------
...
    spec:
      containers:
        - name: airbyte-db-container
          image: airbyte/db
          command: ["sh"]
          args: ["-c", "while true; do echo $(date -u) >> /tmp/run.log; sleep 5; done"]
...
kubectl exec -it -n airbyte airbyte-db-xxxx -- sh
# dry-run first
pg_resetwal --dry-run /var/lib/postgresql/data/pgdata
pg_resetwal /var/lib/postgresql/data/pgdata
Write-ahead log reset
-----------------------
...
    spec:
      containers:
        - name: airbyte-db-container
          image: airbyte/db
          command: ["sh"]
          args: ["-c", "while true; do echo $(date -u) >> /tmp/run.log; sleep 5; done"]
...
kubectl exec -it -n airbyte airbyte-db-xxxx -- sh
# dry-run first
pg_resetwal --dry-run /var/lib/postgresql/data/pgdata
pg_resetwal /var/lib/postgresql/data/pgdata
Write-ahead log reset

Flatten json string in BigQuery

copy iconCopydownload iconDownload
select _airbyte_ab_id, _airbyte_emitted_at, 
  json_value(employee, '$.employeeNumber') employeeNumber,
  json_value(employee, '$.firstName') firstName,
  json_value(employee, '$.lastName') lastName
from your_table,
unnest(json_extract_array(_airbyte_data, '$.employees')) employee         
-----------------------
select _airbyte_ab_id, _airbyte_emitted_at, 
  md5(employee) employee_hash,
  json_value(field, "$.id") key,
  regexp_extract(employee, r'"' || json_value(field, "$.id") || '":"(.*?)"') value
from your_table,
unnest(json_extract_array(_airbyte_data, '$.employees')) employee,
unnest(json_extract_array(_airbyte_data, '$.fields')) field       

Community Discussions

Trending Discussions on airbyte
  • Implementing Docusign Authentication using Requests
  • Invalid resource manager ID in primary checkpoint record
  • Flatten json string in BigQuery
  • Clickhouse jdbc schema [Airbyte integration]
Trending Discussions on airbyte

QUESTION

Implementing Docusign Authentication using Requests

Asked 2022-Feb-25 at 12:00

I'm creating an Airbyte connector for Docusign's E-signature Rest API.

Part of the process of implementing a connector is to write an authentication routine that extends the AuthBase class from requests.auth.

The issue is that Docusign does not support refresh tokens for JWT grants. According to the docusign documentation:

The access token granted by JWT Grant expires after one hour, and no refresh token is provided. After the token expires, you must generate a new JWT and exchange it for a new access token.

You can reuse most of the old assertion, just modifying the IAT and EXP values and updating the signature, then submit the updated JWT to get a new access token. Generally, apps that use JWT should get a new access token about 15 minutes before their existing one expires.

However, all of the examples in the "backend application flow" from this part of the requests documentation (which links to this page in the requests-authlib docs) only seem to allow an Auth2 workflow that includes a refresh token.

How can I work around this to make it so that, each time a refresh token expires, a new request is made (with updated IAT EXP, and signature)?

ANSWER

Answered 2022-Feb-25 at 12:00

Refresh tokens are a feature of the OAuth Authorization Code grant flow.

The Authorization Code grant flow requires a human to authenticate themself. The result is an 8 hour access token and a 30 day refresh token.

To obtain a new access token, either:

  • Ask the human to authenticate again
  • Or the app can use the refresh token to obtain a new access token. This can be done autonomously by the app, without bothering the human.

For the JWT grant flow, there is no human and no refresh token. Instead, the app simply re-runs the JWT grant flow and receive a new 1 hour access token.

When you re-do the JWT flow, create a new JWT (updated IAT, EXP, etc). Sign it with your private key, and send it to DocuSign to obtain a new access token.

The JWT operation is cheap enough to do once per hour per impersonated user. But you must cache the access token and not re-do the JWT grant flow for each API call...

Python authentication libraries

Most authentication libraries for most languages focus on the Authorization Code grant flow since that is the most commonly used OAuth flow.

But as you've pointed out, you're using the JWT flow. This means that you cannot use these libraries. Instead, you will need to roll your own. Good news is that it isn't too hard. Here's my pseudo code:

Send_an_API_request(url, request_details, etc):
   access_token = Get_access_token(user_id);
   api_results = send_api_request(access_token, url, request_details, etc)
   return api_results;

Get_access_token(user_id):
    (access_token, expire_time) = database_lookup(user_id);
    # if access_token is about to expire or we don't have one,
    # create a new access_token and store it
    if (
        ((current_time + 10minutes) > expire_time)
        or
        (access_token is null)
       ):
        # Make a new JWT request
        jwt = make_jwt(user_id);
        signed_jwt = sign(jwt, private_key)
        (access_token, expire_sec) = send_jwt_request(signed_jwt)
        database_store (user_id, access_token, current_time + expire_sec)
    return access_token

Added

Re:

[I need to] extend the AuthBase class from requests.auth

If the app's architecture requires you to extend the AuthBase class, then you will need to implement the JWT grant flow within the AuthBase class.

If the AuthBase class doesn't give you access to the data you need for the JWT grant flow, then a hack is to stuff the needed data into an available attribute such as the "refresh token."

Source https://stackoverflow.com/questions/71255162

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install airbyte

Here is a step-by-step guide showing you how to load data from an API into a file, all on your computer.

Support

We love contributions to Airbyte, big or small. See our Contributing guide on how to get started. Not sure where to start? We’ve listed some good first issues to start with. If you have any questions, please open a draft PR or visit our slack channel where the core team can help answer your questions.

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