airbyte | Data integration platform for ELT pipelines

 by   airbytehq Python Version: v0.50.4 License: Non-SPDX

kandi X-RAY | airbyte Summary

kandi X-RAY | airbyte Summary

airbyte is a Python 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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            kandi-support Support

              airbyte has a medium active ecosystem.
              It has 10896 star(s) with 2813 fork(s). There are 176 watchers for this library.
              There were 9 major release(s) in the last 12 months.
              There are 4146 open issues and 8821 have been closed. On average issues are closed in 101 days. There are 587 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of airbyte is v0.50.4

            kandi-Quality Quality

              airbyte has no bugs reported.

            kandi-Security Security

              airbyte has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-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.

            kandi-Reuse Reuse

              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.

            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 .
            Get all kandi verified functions for this library.

            airbyte Key Features

            No Key Features are available at this moment for airbyte.

            airbyte Examples and Code Snippets

            Output Schemas
            Javadot img1Lines of Code : 405dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            {
              "contacter": "Ai***te",
              "phonenumber": "+13*****5753",
              "license_no": "",
              "promotion_center_city": null,
              "balance": 10,
              "license_url": null,
              "timezone": "Etc/GMT+8",
              "reason": "",
              "telephone": "+14*****6785",
              "id": 70022380178427  
            Export Plain SQL files
            Javadot img2Lines of Code : 175dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            /tmp/workspace/${NORMALIZE_WORKSPACE}/build/run/airbyte_utils/models/generated/airbyte_tables//.sql
            
            #!/usr/bin/env bash
            docker cp airbyte-server:/tmp/workspace/${NORMALIZE_WORKSPACE}/build/run/airbyte_utils/models/generated/ models/
            
            find models
            
            mo  
            Step 5: Incremental Reads
            Javadot img3Lines of Code : 171dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            spec: 
              documentation_url: https://docs.airbyte.io/integrations/sources/exchangeratesapi
              connection_specification:
                $schema: http://json-schema.org/draft-07/schema#
                title: exchangeratesapi.io Source Spec
                type: object
                required:
                   

            Community Discussions

            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:

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

            QUESTION

            Invalid resource manager ID in primary checkpoint record
            Asked 2022-Feb-24 at 21:05

            I've update my Airbyte image from 0.35.2-alpha to 0.35.37-alpha. [running in kubernetes]

            When the system rolled out the db pod wouldn't terminate and I [a terrible mistake] deleted the pod. When it came back up, I get an error -

            ...

            ANSWER

            Answered 2022-Feb-24 at 21:05

            Warning - there is a potential for data loss

            This is a test system, so I wasn't concerned with keeping the latest transactions, and had no backup.

            First I overrode the container command to keep the container running but not try to start postgres.

            Source https://stackoverflow.com/questions/71258094

            QUESTION

            Flatten json string in BigQuery
            Asked 2022-Jan-30 at 22:17

            I have a custom Airbyte job that fails to normalize the data, so I need to do it manually. The following data is pulled from our HR system:

            ...

            ANSWER

            Answered 2022-Jan-30 at 21:31

            How to flatten the json into columns as the example above, using SQL in bigquery?

            Consider below approach

            Source https://stackoverflow.com/questions/70918897

            QUESTION

            Clickhouse jdbc schema [Airbyte integration]
            Asked 2021-Dec-29 at 11:47

            I'm really looking for and advice on how to set up data streaming between Oracle db (just for example) and Clickhouse database using Airbyte ETL tool.

            I've created the source and destination connectors and successfuly tested the connections but now I'm facing the issue in syncing the data. While the source is sending the data correctly, the destination (Clickhouse) JDBC driver requires the schema to accept those tables.

            So, I don't know how to retrieve this schema and where it should be stored. Maybe there're some means to create this schema, because when I inspect the log it displays such thing:

            So, basically, the error is connected with Exception in thread "main" java.lang.IllegalStateException: jdbc destinations must specify a schema.

            Please I will be really grateful for providing any means for resolving that issue!

            ...

            ANSWER

            Answered 2021-Dec-29 at 11:47

            I think use should try version 0.1.1 of ClickHouse destination. It fixes your issue https://github.com/airbytehq/airbyte/pull/8982

            Source https://stackoverflow.com/questions/70393058

            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.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/airbytehq/airbyte.git

          • CLI

            gh repo clone airbytehq/airbyte

          • sshUrl

            git@github.com:airbytehq/airbyte.git

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