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Merged
merged 1 commit into from
Feb 12, 2025
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@piyush-zlai piyush-zlai commented Feb 12, 2025

Summary

While running our Flink jobs we do see periodic restarts as we're low on direct memory. Direct mem is required by Kafka consumer clients as well as BigTable's client sdk. Flink's default seems to be 0 bytes. Bumping this a bit to 1G seems to result in the jobs running without restarting every hour.

Before:
Screenshot 2025-02-11 at 4 24 30 PM

After:
Screenshot 2025-02-11 at 9 16 48 AM

Checklist

  • Added Unit Tests
  • Covered by existing CI
  • Integration tested
  • Documentation update

Summary by CodeRabbit

  • New Features
    • Improved memory allocation for job processing, allocating additional off-heap memory to enhance performance and reliability for applications with high memory demands.

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coderabbitai bot commented Feb 12, 2025

Walkthrough

A new configuration property is introduced in the buildFlinkJob method of the DataprocSubmitter class. The change sets the off-heap memory for tasks to "1G" without altering error handling, control flow, or other functionalities related to job submission, monitoring, and cancellation.

Changes

File Path Summary
cloud_gcp/.../DataprocSubmitter.scala Added taskmanager.memory.task.off-heap.size set to "1G" in the buildFlinkJob method

Sequence Diagram(s)

sequenceDiagram
    participant C as Client
    participant D as DataprocSubmitter
    participant F as Flink Config
    C->>D: Submit Flink job
    D->>F: Build job configuration (off-heap = "1G")
    F-->>D: Return configuration
    D-->>C: Confirm job submission
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Possibly related PRs

Suggested reviewers

  • nikhil-zlai
  • tchow-zlai

Poem

Off-heap memory now set to "1G",
A tweak in code so crisp and free.
Flink jobs fire with optimized might,
In streamlined steps, they take flight.
Cheers to progress in every byte!
🎉🚀

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Reviewing files that changed from the base of the PR and between dfc8f31 and 50e924f.

📒 Files selected for processing (1)
  • cloud_gcp/src/main/scala/ai/chronon/integrations/cloud_gcp/DataprocSubmitter.scala (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (3)
  • GitHub Check: scala_compile_fmt_fix
  • GitHub Check: non_spark_tests
  • GitHub Check: enforce_triggered_workflows
🔇 Additional comments (1)
cloud_gcp/src/main/scala/ai/chronon/integrations/cloud_gcp/DataprocSubmitter.scala (1)

136-137: LGTM! Well-documented memory configuration.

The addition of 1G off-heap memory aligns with the PR objective to address direct memory issues for Kafka and key-value store operations.


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@piyush-zlai piyush-zlai merged commit 9eac6a7 into main Feb 12, 2025
6 checks passed
@piyush-zlai piyush-zlai deleted the piyush/bump_flink_tm_mem branch February 12, 2025 23:27
kumar-zlai pushed a commit that referenced this pull request Apr 25, 2025
## Summary
While running our Flink jobs we do see periodic restarts as we're low on
direct memory. Direct mem is required by Kafka consumer clients as well
as BigTable's client sdk. Flink's default seems to be [0
bytes](https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/deployment/config/).
Bumping this a bit to 1G seems to result in the jobs running without
restarting every hour.

Before:
![Screenshot 2025-02-11 at 4 24
30 PM](https://github.com/user-attachments/assets/75f88687-9ecf-4fc4-b89c-e863be3ee1ff)

After:
![Screenshot 2025-02-11 at 9 16
48 AM](https://github.com/user-attachments/assets/bc66aa0a-1b92-4b46-a78d-0c70168288d7)


## Checklist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [X] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **New Features**
- Improved memory allocation for job processing, allocating additional
off-heap memory to enhance performance and reliability for applications
with high memory demands.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
kumar-zlai pushed a commit that referenced this pull request Apr 29, 2025
## Summary
While running our Flink jobs we do see periodic restarts as we're low on
direct memory. Direct mem is required by Kafka consumer clients as well
as BigTable's client sdk. Flink's default seems to be [0
bytes](https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/deployment/config/).
Bumping this a bit to 1G seems to result in the jobs running without
restarting every hour.

Before:
![Screenshot 2025-02-11 at 4 24
30 PM](https://github.com/user-attachments/assets/75f88687-9ecf-4fc4-b89c-e863be3ee1ff)

After:
![Screenshot 2025-02-11 at 9 16
48 AM](https://github.com/user-attachments/assets/bc66aa0a-1b92-4b46-a78d-0c70168288d7)


## Checklist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [X] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **New Features**
- Improved memory allocation for job processing, allocating additional
off-heap memory to enhance performance and reliability for applications
with high memory demands.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
chewy-zlai pushed a commit that referenced this pull request May 15, 2025
## Summary
While running our Flink jobs we do see periodic restarts as we're low on
direct memory. Direct mem is required by Kafka consumer clients as well
as BigTable's client sdk. Flink's default seems to be [0
bytes](https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/deployment/config/).
Bumping this a bit to 1G seems to result in the jobs running without
restarting every hour.

Before:
![Screenshot 2025-02-11 at 4 24
30 PM](https://github.com/user-attachments/assets/75f88687-9ecf-4fc4-b89c-e863be3ee1ff)

After:
![Screenshot 2025-02-11 at 9 16
48 AM](https://github.com/user-attachments/assets/bc66aa0a-1b92-4b46-a78d-0c70168288d7)


## Checklist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [X] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **New Features**
- Improved memory allocation for job processing, allocating additional
off-heap memory to enhance performance and reliability for applications
with high memory demands.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
chewy-zlai pushed a commit that referenced this pull request May 15, 2025
## Summary
While running our Flink jobs we do see periodic restarts as we're low on
direct memory. Direct mem is required by Kafka consumer clients as well
as BigTable's client sdk. Flink's default seems to be [0
bytes](https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/deployment/config/).
Bumping this a bit to 1G seems to result in the jobs running without
restarting every hour.

Before:
![Screenshot 2025-02-11 at 4 24
30 PM](https://github.com/user-attachments/assets/75f88687-9ecf-4fc4-b89c-e863be3ee1ff)

After:
![Screenshot 2025-02-11 at 9 16
48 AM](https://github.com/user-attachments/assets/bc66aa0a-1b92-4b46-a78d-0c70168288d7)


## Checklist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [X] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **New Features**
- Improved memory allocation for job processing, allocating additional
off-heap memory to enhance performance and reliability for applications
with high memory demands.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
chewy-zlai pushed a commit that referenced this pull request May 16, 2025
## Summary
While running our Flink jobs we do see periodic restarts as we're low on
direct memory. Direct mem is required by Kafka consumer clients as well
as BigTable's client sdk. Flink's default seems to be [0
bytes](https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/deployment/config/).
Bumping this a bit to 1G seems to result in the jobs running without
restarting every hour.

Before:
![Screenshot 2025-02-11 at 4 24
30 PM](https://github.com/user-attachments/assets/75f88687-9ecf-4fc4-b89c-e863be3ee1ff)

After:
![Screenshot 2025-02-11 at 9 16
48 AM](https://github.com/user-attachments/assets/bc66aa0a-1b92-4b46-a78d-0c70168288d7)


## Cheour clientslist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [X] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **New Features**
- Improved memory allocation for job processing, allocating additional
off-heap memory to enhance performance and reliability for applications
with high memory demands.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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3 participants