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From Dnyaneshwar Pawar <>
Subject RE: High volume data with ExecuteSQL processor
Date Mon, 15 Oct 2018 05:36:53 GMT
Hi Koji,

As suggested, the "Max Rows Per Flow File" is not available for ExecuteSQL processor, its
available with QueryDatabaseTable processor. But we cannot use QueryDatabaseTable processor
as its not accepting upstream connections and we have requirement of accepting upstream connection
from other processors (e.g. HandleHTTPRequest processor). Please suggest how we can use ExecuteSQL
to process high volume data.

-----Original Message-----
From: Koji Kawamura <> 
Sent: Tuesday, September 25, 2018 5:59 AM
Subject: Re: High volume data with ExecuteSQL processor


Did you try setting 'Max Rows Per Flow File' at ExecuteSQL processor?
If the OOM happened when NiFi writes all results into a single FlowFile, then the property
can help breaking the result set into several FlowFiles to avoid that.

On Fri, Sep 21, 2018 at 3:56 PM Dnyaneshwar Pawar <>
> Hi,
> How to execute/process High volume data with ExecuteSQL processor:
> We tried to execute query for db2 database which has around 10 lakh 
> records. While executing this query
> we are getting OutOfMemory error and that request(flowfile) is stuck 
> in queue. When we restart nifi, it still stuck in queue and as soon as 
> we start nifi,
> we are again getting same error as it is stuck in queue. Is there any way to configure
retry for queue(connection to 2 processor).
> We also tried to change property for Flow File repository in 
> (nifi.flowfile.repository.implementation) to 
> 'org.apache.nifi.controller.repository.VolatileFlowFileRepository',
> This is removing flowfile in query while restarting nifi. But it has risk of data loss
in the event of power/machine failure for other processes.
> So please suggest how to execute high volume data query execution or any retry mechanism
available for queued flowfile.
> Regards,
> Dnyaneshwar Pawar
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