Good day

We are trying to load a big table from on-premises to AWS Kinesis.

At some point during the initial full load, we get the following errors and the table is reloaded.

03449616: 2026-04-14T07:05:29 [TARGET_LOAD ]E: Failed to produce kinesis message with record id <663349006> to partition <0> in stream 'xxx'. : Encountered network error when sending http request [1022601] (queue_utils.c:120)
03449616: 2026-04-14T07:05:29 [TARGET_LOAD ]E: Failed to send message [1022601] (queue_utils.c:1877)
03449616: 2026-04-14T07:05:29 [TARGET_LOAD ]E: Failed to produce message. [1022601] (queue_load.c:74)
03449544: 2026-04-14T07:05:29 [TASK_MANAGER ]I: Task error notification received from subtask 1, thread 1, status 1022601 (replicationtask.c:3653)
03449616: 2026-04-14T07:05:29 [TARGET_LOAD ]E: Error executing data handler [1022601] (streamcomponent.c:2034)
03449616: 2026-04-14T07:05:29 [TASK_MANAGER ]E: Stream component failed at subtask 1, component st_1_xxx [1022601] (subtask.c:1506)
03449616: 2026-04-14T07:05:29 [TARGET_LOAD ]E: Stream component 'st_1_xxx' terminated [1022601] (subtask.c:1675)
03449544: 2026-04-14T07:05:33 [TASK_MANAGER ]I: Subtask #1 ended (replicationtask_util.c:591)
03449544: 2026-04-14T07:05:33 [TASK_MANAGER ]I: Reloading table 14 because subtask #1 finished with error (replicationtask.c:2761)

I've already added the following internal parameters:
resultsWaitMaxTimes : 3000
resultsWaitTimeoutMS : 2500

Task settings: Commit rate during full load = 150000

There is no throttling on the Kinesis side.

I suspect it might be either a break in the network or slow response.

Running Qlik Replicate V2025.5.0.134 on Microsoft Windows Server 2019 Standard

Any suggestions on what other parameters I can set to do retries / wait longer, instead of reloading from start?

Thanx

Hi Team,

We're trying to get a Qlik Replicator connector up to write to Big Query.

Our SA credentials that QR exists in project_x; while the dataset which we're trying to write to exists in project_y.

The SA have the correct permissions to write to project_y.

How can I configure the task and endpoint to write to project_y when by default it is trying to write to a dataset in project_x?

Hi everyone,

I'm encountering a compilation error when trying to use the tIcebergOutput component in a Talend Job (Job Name: Talend_AWS).

The Problem: The Job fails to build/run with a ProcessorException. Upon inspecting the generated Java code, I found that a local variable named schemaArray is being declared multiple times within the same method, causing a "Duplicate local variable" error.

Steps taken:

• I checked the "Code" tab in Talend and confirmed that schemaArray is indeed duplicated in the generated source.

• I tried to refresh the schema and propagate changes again, but the issue persists.

Has anyone encountered this bug with the Iceberg components? Is there a known workaround?

Hi community,

When publishing job artifacts to TMC using the cloud-publisher Maven plugin, the artifact version label in TMC is auto-incremented based on TMC's internal counter regardless of the version defined in the generated pom. For example, assuming last published version of a job is 26.1.8, a job with pom version 26.2.0 gets published as 26.1.9 in TMC because previous versions of the same artifact were published earlier.

This makes it impossible to differentiate between Studio job versions in TMC because deploying ipca_dimensions_25.4 and ipca_dimensions_26.2 both publish under the same artifact name ipca_dimensions with sequential counters, making 25.4 appear newer than 26.2 if deployed after it.

Is there any way to control the artifact version label when publishing via the cloud-publisher Maven plugin?

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A Picture is worth a thousand words as they say.

As you can see below, I have published sheets, so the only options should be 'Make Private' or 'Duplicate'.

In this instance, I have 'Open and Edit' still, even though they're Public sheets.

This is Qlik SaaS / Cloud.

Bonjour,

Je cherche une solution pour envoyer un fichier via une requête REST API avec Talend.

 L’API attend soit :

• un envoi en binaire (application/octet-stream)
• soit un multipart/form-data avec un champ file

 Question :
Quel composant ou quelle approche recommandez-vous pour gérer ce type d’envoi de fichier dans Talend ?

Merci d’avance pour vos retours