kafka-connect-bigquery | DEPRECATED

by wepay Java Version: 0.2.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | kafka-connect-bigquery Summary

kafka-connect-bigquery is a Java library typically used in Big Data, Neo4j, Kafka, Spark, Hadoop applications. kafka-connect-bigquery has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However kafka-connect-bigquery has 28 bugs. You can download it from GitHub, Maven.

This is an implementation of a sink connector from Apache Kafka to Google BigQuery, built on top of Apache Kafka Connect. For a comprehensive list of configuration options, see the Connector Configuration Wiki.

Support

Quality

Security

License

Reuse

Support

kafka-connect-bigquery has a low active ecosystem.

It has 148 star(s) with 121 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 50 open issues and 54 have been closed. On average issues are closed in 76 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kafka-connect-bigquery is 0.2.1

Quality

kafka-connect-bigquery has 28 bugs (0 blocker, 0 critical, 10 major, 18 minor) and 204 code smells.

Security

kafka-connect-bigquery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kafka-connect-bigquery code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

kafka-connect-bigquery is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

kafka-connect-bigquery releases are available to install and integrate.

Deployable package is available in Maven.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

kafka-connect-bigquery saves you 3267 person hours of effort in developing the same functionality from scratch.

It has 7018 lines of code, 426 functions and 65 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Runs the BQ load process
Deletes the given list of blobs
Returns a map of BCS buckets to batch - up
Check all active jobs
Start the sink
Starts a GCS LoadExecutor
Returns the schema manager
Returns a new instance of the SchemaRetriever
Put records in the sink
Initialize BigQuery based on configuration
Connects to the specified project using the specified credentials
Gets the table id
Write batch
Writes rows to table
Filter rows
Sends a request to BigQuery
Determines if a BigQuery error caused by a bug
Formats the errors into a human readable string
Validates that the properties are valid
Starts the connector
Converts a SinkRecord into a row id
Convert a SinkRecord to a BigQuery Row
Check if schema updates are allowed
Stops the current thread
This method returns a list of TaskConfigs that can be used to configure BigQuerySets
Called after the task is executed

Get all kandi verified functions for this library.

kafka-connect-bigquery Key Features

No Key Features are available at this moment for kafka-connect-bigquery.

kafka-connect-bigquery Examples and Code Snippets

No Code Snippets are available at this moment for kafka-connect-bigquery.

Community Discussions

Trending Discussions on kafka-connect-bigquery

kafka-connect-bigquery: Regex based syntax in "topics"

How to make the Kafka Connect BigQuery Sink Connector create one table per event type and not per topic?

Kafka Connect BigQuery Sink Connector requests incorrect subject names from the Schema Registry

Kafka Connect BigQuery Sink Connector requests non-existing key-subject names from the Schema Registry

kafka connect to Google BigQuery throws error java.lang.NoClassDefFoundError: org/apache/kafka/common/config/ConfigDef$CaseInsensitiveValidString

Kafka-connect docker image built as appuser - how to build it as root?

QUESTION

kafka-connect-bigquery: Regex based syntax in "topics"

Asked 2021-Jun-01 at 16:26

so I use kafka-connect-bigquery connector

Is it possible to use regular expression in "topics"?

For example I have two topics:

...

ANSWER

Answered 2021-Jun-01 at 16:26

You can whitelist Kafka topics based regex by replacing the topics property with topics.regex.

Ex.

Source https://stackoverflow.com/questions/67772761

QUESTION

How to make the Kafka Connect BigQuery Sink Connector create one table per event type and not per topic?

Asked 2021-May-05 at 08:10

I'm using confluentinc/kafka-connect-bigquery on our Kafka (Avro) events. On some topics, we have more than one event type, e.g., UserRegistered and UserDeleted are on the topic domain.user.

The subjects in our Schema Registry look as follows.

...

ANSWER

Answered 2021-May-05 at 08:10

I think you can use the SchemaNameToTopic Single Message Transform to do this. By setting the topic name as the schema name this will propagate through to the name given to the created BigQuery table.

Source https://stackoverflow.com/questions/67396035

QUESTION

Kafka Connect BigQuery Sink Connector requests incorrect subject names from the Schema Registry

Asked 2021-May-05 at 07:33

While trying to use confluentinc/kafka-connect-bigquery on our Kafka (Avro) events, I run into the following error:

...

ANSWER

Answered 2021-May-04 at 12:05

You need to set key.converter.key.subject.name.strategy & value.converter.value.subject.name.strategy to be io.confluent.kafka.serializers.subject.TopicRecordNameStrategy

Source https://stackoverflow.com/questions/67372061

QUESTION

Kafka Connect BigQuery Sink Connector requests non-existing key-subject names from the Schema Registry

Asked 2021-May-05 at 07:33

This is a follow-up question to that one: Kafka Connect BigQuery Sink Connector requests incorrect subject names from the Schema Registry

While trying to use confluentinc/kafka-connect-bigquery on our Kafka (Avro) events, I run into the following error:

...

ANSWER

Answered 2021-May-04 at 15:39

Ah, I need the following:

Source https://stackoverflow.com/questions/67387603

QUESTION

kafka connect to Google BigQuery throws error java.lang.NoClassDefFoundError: org/apache/kafka/common/config/ConfigDef$CaseInsensitiveValidString

Asked 2021-Mar-14 at 19:40

I am trying to stream from a Kafka topic to Google BigQuery. My connect-standalone.properties file is as follows:

...

ANSWER

Answered 2021-Mar-14 at 19:40

Thanks all.

I was using an older Kafka version.

I upgraded Kafka in the cluster from kafka_2.12-1.1.0 to the latest stable version kafka_2.12-2.7.0. I also upgraded zookeeper from zookeeper-3.4.6 to apache-zookeeper-3.6.2-bin version.

In addition in the run file I added the following:

Source https://stackoverflow.com/questions/66617141

QUESTION

Kafka-connect docker image built as appuser - how to build it as root?

Asked 2021-Mar-12 at 10:46

I am trying to build a Kafka-Connect image in Docker:

...

ANSWER

Answered 2021-Jan-15 at 12:00

I do something similar, when I need to create my own plugin to Kafka Connect but I don't exactly do it as root. Simply I put my jars in a place I have permission to write and just configure the plugins Environment Setting

something like this:

Source https://stackoverflow.com/questions/65734056

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

Vulnerabilities

No vulnerabilities reported

Install kafka-connect-bigquery

The latest releases are available in the GitHub release tab, or via tarballs in Maven central.
NOTE: You must have the Confluent Platform installed in order to run the example.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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