# SparkML workflow with xgboost are failing

**URL:** <https://community.sparkflows.ai/t/sparkml-workflow-with-xgboost-are-failing/354>\
**Category:** General\
**Created:** [August 7, 2026, 11:41am UTC](https://community.sparkflows.ai/t/sparkml-workflow-with-xgboost-are-failing/354 "2026-08-07T11:41:13Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![neeraj](https://avatars.discourse-cdn.com/v4/letter/n/e47c2d/32.png) [@neeraj](https://community.sparkflows.ai/u/neeraj)\
**Post date:** [August 7, 2026, 11:41am UTC](https://community.sparkflows.ai/t/sparkml-workflow-with-xgboost-are-failing/354/1 "2026-08-07T11:41:13Z")

</div>

## Problem

SparkML workflows using **XGBoost** may fail with the following error:

```auto
java.lang.Exception: Error: Failed to execute the workflow:
/tmp/libxgboost4j14342423119254343105.so: libgomp.so.1:
cannot open shared object file: No such file or directory

```

This indicates that the **GNU OpenMP runtime library (`libgomp.so.1`)** required by XGBoost is missing from the machine.

## Solution

Ensure that the `libgomp` package is installed on the machine where the SparkML workflow is executed.

### Ubuntu / Debian

Run:

```auto
sudo apt update
sudo apt install --reinstall libgomp1

```

### CentOS / RHEL

Run:

```auto
sudo yum install libgomp -y

```

For newer RHEL-based systems using `dnf`, you can also run:

```auto
sudo dnf install libgomp -y

```

## Verification

After installing the package, verify that `libgomp.so.1` is available:

```auto
ldconfig -p | grep libgomp

```

Expected output should contain an entry similar to:

```auto
libgomp.so.1 (libc6,x86-64) => /lib64/libgomp.so.1

```

Once `libgomp.so.1` is available, rerun the SparkML XGBoost workflow.