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dongjoon pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new ec4f380 [SPARK-55079] Log `Java Version`
ec4f380 is described below
commit ec4f380d2e937e42430f1e5b2c1f20cf356e0044
Author: Dongjoon Hyun <[email protected]>
AuthorDate: Sat Jan 17 13:00:23 2026 +0900
[SPARK-55079] Log `Java Version`
### What changes were proposed in this pull request?
This PR aims to log `Java Version` during starting.
### Why are the changes needed?
To help the log analysis of `Spark Operator` by embedding Java Version
explicitly into the logs.
### Does this PR introduce _any_ user-facing change?
No behavior change.
### How was this patch tested?
Manual review.
**BEFORE**
```
$ kubectl logs spark-kubernetes-operator-8dc69d96f-lpxk8 | head -n3
Starting Operator...
26/01/17 03:23:10 INFO o.a.s.k.o.SparkOperator Configuring operator with
50 reconciliation threads.
```
**AFTER**
```
$ kubectl logs spark-kubernetes-operator-8dc69d96f-lpxk8 | head -n3
Starting Operator...
26/01/17 03:23:09 INFO o.a.s.k.o.SparkOperator Java Version: 25.0.1+8-LTS
26/01/17 03:23:10 INFO o.a.s.k.o.SparkOperator Configuring operator with
50 reconciliation threads.
```
### Was this patch authored or co-authored using generative AI tooling?
No.
Closes #459 from dongjoon-hyun/SPARK-55079.
Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
---
.../src/main/java/org/apache/spark/k8s/operator/SparkOperator.java | 1 +
1 file changed, 1 insertion(+)
diff --git
a/spark-operator/src/main/java/org/apache/spark/k8s/operator/SparkOperator.java
b/spark-operator/src/main/java/org/apache/spark/k8s/operator/SparkOperator.java
index 4893383..e29db70 100644
---
a/spark-operator/src/main/java/org/apache/spark/k8s/operator/SparkOperator.java
+++
b/spark-operator/src/main/java/org/apache/spark/k8s/operator/SparkOperator.java
@@ -283,6 +283,7 @@ public class SparkOperator {
* @param args Command line arguments (not used).
*/
public static void main(String[] args) {
+ log.info("Java Version: " + Runtime.version().toString());
SparkOperator sparkOperator = new SparkOperator();
for (Operator operator : sparkOperator.registeredOperators) {
operator.start();
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