connectors | Connectors for capturing data from external data sources | Pub Sub library

 by   estuary Go Version: Current License: Non-SPDX

kandi X-RAY | connectors Summary

kandi X-RAY | connectors Summary

connectors is a Go library typically used in Messaging, Pub Sub applications. connectors has no bugs, it has no vulnerabilities and it has low support. However connectors has a Non-SPDX License. You can download it from GitHub.

This repo hosts development for connectors for use with Flow. The source-* connectors all implement the Airbyte spec. Flow uses the Airbyte protocol for capturing data from external systems. Source connectors in this repo can (at least theoretically) be used with either Flow or Airbyte, or anything else that uses the Airbyte protocol. The materialize-* connectors all implement the Flow Materialize gRPC protocol, and only work with Flow. All connectors in this repository are dual licensed under MIT or Apache 2.0 at your discretion.
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              connectors has a low active ecosystem.
              It has 24 star(s) with 3 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 50 open issues and 185 have been closed. On average issues are closed in 93 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of connectors is current.

            kandi-Quality Quality

              connectors has 0 bugs and 0 code smells.

            kandi-Security Security

              connectors has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              connectors code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              connectors 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

              connectors releases are not available. You will need to build from source code and install.

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            connectors Key Features

            No Key Features are available at this moment for connectors.

            connectors Examples and Code Snippets

            No Code Snippets are available at this moment for connectors.

            Community Discussions

            QUESTION

            Cloud Function Module Terraform
            Asked 2022-Apr-11 at 12:26

            I am comparatively new to terraform and trying to create a working module which can spin up multiple cloud functions at once. The part which is throwing error for me is where i am dynamically calling event trigger. I have written a rough code below. Can someone please suggest what i am doing wrong?

            Main.tf

            ...

            ANSWER

            Answered 2022-Apr-11 at 10:15

            Your event_trigger is in n. Thus, your event_trigger should be:

            Source https://stackoverflow.com/questions/71824671

            QUESTION

            Microsoft Teams App Connector - Configure Screen won't load in-line in modal anymore
            Asked 2022-Mar-17 at 16:30

            We are developing a MS Teams application (using incoming webhooks to deliver messages from our SaaS app into Teams) and have noticed that when creating new connectors using the MS Connectors Developer Dashboard (https://outlook.office.com/connectors/publish) the connector install process no longer functions as it used to.

            Up until about a week ago, the connector install process involved the connector configuration page being loaded as an iframe within the teams app install modal. This is exactly as described and expected in the MS docs here: https://docs.microsoft.com/en-us/microsoftteams/platform/webhooks-and-connectors/how-to/connectors-creating

            This install process should look like this: Working connector

            Currently, when creating connectors, the resulting install flow looks like this. (Notice how it no longer renders configuration screen in iframe, but instead links to it): Broken connector

            I have diff'ed the application manifest and confirmed the only difference in setup is the connector ID. I've also double checked that all the connector fields (valid domains, configuration URLs etc.) are exactly as before. The change seems to be on Microsoft side. My old connectors created earlier this month continue to work OK

            My question is, what is this new install flow that I'm seeing and why is it suddenly showing up now? How can I tell Teams to go back to using the old install flow for my new connectors.

            Other details that may be relevant:

            • I've tried creating connectors in two separate MS Office accounts, both work the same way
            • The app is NOT yet published, I'm testing locally by uploading and approving within our company's Teams account
            • I've confirmed the configuration endpoint is viewable from the outside world and have found now network errors in the teams app that would explain it failing to load.
            ...

            ANSWER

            Answered 2022-Mar-17 at 16:30

            Microsoft Teams support were able to confirm that there was an issue and that it was resolved and rolled out on March 15 2022. I have since confirmed that I am able to create and install teams apps.

            Thank you to Meghana for keeping me in the loop about progress.

            Source https://stackoverflow.com/questions/70947309

            QUESTION

            How to add custom component to Elyra's list of available airflow operators?
            Asked 2022-Feb-21 at 15:16

            Trying to make my own component based on KubernetesPodOperator. I am able to define and add the component to the list of components but when trying to run it, I get:

            Operator 'KubernetesPodOperator' of node 'KubernetesPodOperator' is not configured in the list of available operators. Please add the fully-qualified package name for 'KubernetesPodOperator' to the AirflowPipelineProcessor.available_airflow_operators configuration.

            and error:

            ...

            ANSWER

            Answered 2022-Feb-21 at 15:16

            The available_airflow_operators list is a configurable trait in Elyra. You’ll have to add the fully-qualified package name for the KubernetesPodOperator to this list in order for it to create the DAG correctly.

            To do so, generate a config file from the command line with jupyter elyra --generate-config. Open the created file and add the following line (you can add it under the PipelineProcessor(LoggingConfigurable) heading if you prefer to keep the file organized):

            Source https://stackoverflow.com/questions/71113714

            QUESTION

            Unexpected microsoft external search aggregation values
            Asked 2022-Feb-18 at 16:34

            We have an Microsoft Search instance for crawling one custom app : https://docs.microsoft.com/en-us/microsoftsearch/connectors-overview

            Query & display is working as expected but aggregation provides wrong results

            query JSON : https://graph.microsoft.com/v1.0/search/query

            select title + submitter and aggregation on submitter

            ...

            ANSWER

            Answered 2022-Feb-18 at 16:34

            Rootcause has been identified as submitter property wasn't created with flag refinable

            Source https://stackoverflow.com/questions/70960445

            QUESTION

            GCP Dataproc - cluster creation failing when using connectors.sh in initialization-actions
            Asked 2022-Feb-01 at 20:01

            I'm creating a Dataproc cluster, and it is timing out when i'm adding the connectors.sh in the initialization actions.

            here is the command & error

            ...

            ANSWER

            Answered 2022-Feb-01 at 20:01

            It seems you are using an old version of the init action script. Based on the documentation from the Dataproc GitHub repo, you can set the version of the Hadoop GCS connector without the script in the following manner:

            Source https://stackoverflow.com/questions/70944833

            QUESTION

            Dataproc Cluster creation is failing with PIP error "Could not build wheels"
            Asked 2022-Jan-24 at 13:04

            We use to spin cluster with below configurations. It used to run fine till last week but now failing with error ERROR: Failed cleaning build dir for libcst Failed to build libcst ERROR: Could not build wheels for libcst which use PEP 517 and cannot be installed directly

            ...

            ANSWER

            Answered 2022-Jan-19 at 21:50

            Seems you need to upgrade pip, see this question.

            But there can be multiple pips in a Dataproc cluster, you need to choose the right one.

            1. For init actions, at cluster creation time, /opt/conda/default is a symbolic link to either /opt/conda/miniconda3 or /opt/conda/anaconda, depending on which Conda env you choose, the default is Miniconda3, but in your case it is Anaconda. So you can run either /opt/conda/default/bin/pip install --upgrade pip or /opt/conda/anaconda/bin/pip install --upgrade pip.

            2. For custom images, at image creation time, you want to use the explicit full path, /opt/conda/anaconda/bin/pip install --upgrade pip for Anaconda, or /opt/conda/miniconda3/bin/pip install --upgrade pip for Miniconda3.

            So, you can simply use /opt/conda/anaconda/bin/pip install --upgrade pip for both init actions and custom images.

            Source https://stackoverflow.com/questions/70743642

            QUESTION

            Facing Issue with DataprocCreateClusterOperator (Airflow 2.0)
            Asked 2022-Jan-04 at 22:26

            I'm trying to migrate from airflow 1.10 to Airflow 2 which has a change of name for some operators which includes - DataprocClusterCreateOperator. Here is an extract of the code.

            ...

            ANSWER

            Answered 2022-Jan-04 at 22:26

            It seems that in this version the type of metadata parameter is no longer dict. From the docs:

            metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

            Try with:

            Source https://stackoverflow.com/questions/70423687

            QUESTION

            SF system tables for "credit usage"
            Asked 2021-Dec-10 at 09:54

            Do we have any system tables in Snowflake which gives us the credit usage information like : a. Warehouse level b. Account level, etc..

            Requirement --> We have a requirement where there is a need to extract those information from SF via available SF connectors & orchestrate them as per the need of the client.

            Regards, Somen Swain

            ...

            ANSWER

            Answered 2021-Dec-10 at 07:44

            I think you need the WAREHOUSE_METERING_HISTORY Account Usage view

            Source https://stackoverflow.com/questions/70299994

            QUESTION

            Password masking only works for JDBC Connectors
            Asked 2021-Dec-03 at 06:17

            We have set our Kafka Connect to be able to read credentials from a file, instead of giving them directly in connector config. This is how a login part of connector config looks like:

            "connection.user": "${file:/kafka/pass.properties:username}",

            "connection.password": "${file:/kafka/pass.properties:password}",

            We also added these 2 lines to "connect-distributed.properties" file:

            config.providers=file

            config.providers.file.class=org.apache.kafka.common.config.provider.FileConfigProvider

            Mind that it works perfectly for JDBC connectors, so there is no problem with the pass.properties file. But for other connectors, such as couchbase, rabbitmq, s3 etc. it causes problems. All these connectors work fine when we give credentials directly but when we try to make Connect to read them from a file it gives some errors. What could be the reason? I don't see any JDBC specific configuration here.

            EDIT:

            An error about couchbase in connect.log:

            ...

            ANSWER

            Answered 2021-Dec-03 at 06:17

            Looks like the problem was quote marks in pass.properties file. The interesting thing is, even if credentials are typed with or without quote marks, JDBC connectors work well. Maybe the reason is it is the first line in the file but just a small possibility.

            So, do NOT use quote marks in your password files, even if some of the connectors work this way.

            Source https://stackoverflow.com/questions/70195687

            QUESTION

            SQL Server Data to Kafka in real time
            Asked 2021-Dec-02 at 03:08

            I would like to add real time data from SQL server to Kafka directly and I found there is a SQL server connector provided by https://debezium.io/docs/connectors/sqlserver/

            In the documentation, it says that it will create one topic for each table. I am trying to understand the architecture because I have 500 clients which means I have 500 databases and each of them has 500 tables. Does it mean that it will create 250000 topics or do I need separate Kafka Cluster for each client and each cluster/node will have 500 topics based on the number of tables in the database?

            Is it the best way to send SQL data to Kafka or should we send an event to Kafka queue through code whenever there is an insert/update/delete on a table?

            ...

            ANSWER

            Answered 2021-Dec-02 at 03:08

            With debezium you are stuck with one table to one topic mapping. However, there are creative ways to get around it.

            Based on the description, it looks like you have some sort of product that has SQL Server backend, and that has 500 tables. This product is being used by 500 or more clients and everyone has their own instance of the database.

            You can create a connector for one client and read all 500 tables and publish it to Kafka. At this point you will have 500 Kafka topics. You can route the data from all other database instances to the same 500 topics by creating separate connectors for each client / database instance. I am assuming that since this is a backend database for a product, the table names, schema names etc. are all same, and the debezium connector will generate same topic names for the tables. If that is not the case, you can use topic routing SMT.

            You can differentiate the data in Kafka by adding a few metadata columns in the topic. This can easily be done in the connector by adding SMTs. The metadata columns could be client_id, client_name or something else.

            As for your other question,

            Is it the best way to send SQL data to Kafka or should we send an event to Kafka queue through code whenever there is an insert/update/delete on a table?

            The answer is "it depends!". If it is a simple transactional application, I would simply write the data to the database and not worry about anything else.

            The answer is also dependent on why you want to deliver data to Kafka. If you are looking to deliver data / business events to Kafka to perform some downstream business processing requiring transactional integrity, and strict SLAs, writing the data from application may make sense. However, if you are publishing data to Kafka to make it available for others to use for analytical or any other reasons, using the K-Connect approach makes sense.

            There is a licensed alternative, Qlik Replicate, which is capable of something very similar.

            Source https://stackoverflow.com/questions/70097676

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