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Posted to user@spark.apache.org by Saurabh Gulati <sa...@fedex.com.INVALID> on 2022/08/19 12:42:23 UTC

Re: [EXTERNAL] Re: Spark streaming

You can also try out https://debezium.io/documentation/reference/0.10/connectors/mysql.html
________________________________
From: Ajit Kumar Amit <aj...@gmail.com>
Sent: 19 August 2022 14:30
To: sandra sukumaran <sa...@gmail.com>
Cc: user@spark.apache.org <us...@spark.apache.org>
Subject: [EXTERNAL] Re: Spark streaming

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https://github.com/allwefantasy/spark-binlog<https://urldefense.com/v3/__https://github.com/allwefantasy/spark-binlog__;!!BL9GA0TyTA!actkW_0ZhxHTImtHaWtPiApgCD3oISkeTDvhezK35qIcodH-PjmcOxZ9BCpVfZxXdhNi9ciMkltEEY7C5_QtFQ$>

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On 19 Aug 2022, at 5:45 PM, sandra sukumaran <sa...@gmail.com> wrote:


Dear Sir,



     Is there any possible method to fetch MySQL database bin log, with the help of spark streaming.
    Kafka streaming is not applicable in this case.



Thanks and regards
Sandra

Re: [EXTERNAL] Re: Spark streaming

Posted by sandra sukumaran <sa...@gmail.com>.

Thanks, I'll try it out.

On Fri, 19 Aug 2022, 6:12 pm Saurabh Gulati, <sa...@fedex.com>
wrote:

> You can also try out
> https://debezium.io/documentation/reference/0.10/connectors/mysql.html
> ------------------------------
> *From:* Ajit Kumar Amit <aj...@gmail.com>
> *Sent:* 19 August 2022 14:30
> *To:* sandra sukumaran <sa...@gmail.com>
> *Cc:* user@spark.apache.org <us...@spark.apache.org>
> *Subject:* [EXTERNAL] Re: Spark streaming
>
> *Caution! This email originated outside of FedEx. Please do not open
> attachments or click links from an unknown or suspicious origin*.
> https://github.com/allwefantasy/spark-binlog
> <https://urldefense.com/v3/__https://github.com/allwefantasy/spark-binlog__;!!BL9GA0TyTA!actkW_0ZhxHTImtHaWtPiApgCD3oISkeTDvhezK35qIcodH-PjmcOxZ9BCpVfZxXdhNi9ciMkltEEY7C5_QtFQ$>
>
> Sent from my iPhone
>
> On 19 Aug 2022, at 5:45 PM, sandra sukumaran <sa...@gmail.com>
> wrote:
>
> 
> Dear Sir,
>
>
>
>      Is there any possible method to fetch MySQL database bin log, with
> the help of spark streaming.
>     Kafka streaming is not applicable in this case.
>
>
>
> Thanks and regards
> Sandra
>
>