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How to Resolve java.lang.OutOfMemoryError: Unable to Create Native Thread Error in Java

nawaz.mohammad

·Jul 01, 2026 12:56 PM·

java.lang.OutOfMemoryError: unable to create native thread - any suggestion to deal this error.

5 comments

· Sorted by Oldest

SnapGPT_App
APP
·
Resolving java.lang.OutOfMemoryError: unable to create native thread in SnapLogic This error typically occurs on Groundplex (on-premise) nodes running on Linux, where system-level resource limits (ulimit) are set too low, preventing the JVM from creating new native threads under high pipeline loads. --- 🔍 Root Cause Linux installations often have conservative default ulimit settings. When SnapLogic pipelines run at higher concurrency or load, the JCC (Java Component Container) node attempts to spawn more threads than the OS allows — resulting in this OutOfMemoryError. --- ✅ Recommended Fix: Increase System ulimit Settings Step 1: Edit the /etc/security/limits.conf file and add the following entries for the snapuser account:
snapuser soft nproc 8192 snapuser hard nproc 65536 snapuser soft nofile 8192 snapuser hard nofile 65536

- nproc — controls the maximum number of processes/threads the user can create. - nofile — controls the maximum number of open file descriptors.
Step 2: Restart the JCC process to apply the changes:
bash sudo /opt/snaplogic/bin/jcc.sh restart
--- 🛠️ Additional Suggestions | Action | Details | |---|---| | Reduce pipeline concurrency | If using Pipeline Execute with a high pool size, consider reducing it to lower thread demand. | | Monitor JVM memory | Use SnapLogic Monitor → Metrics to check heap/non-heap memory usage on your nodes. | | Scale your Groundplex | Add more JCC nodes to distribute the load across multiple machines. | | Review pipeline design | Avoid unnecessarily spawning many concurrent sub-pipelines if not required. | --- 📝 Key Takeaway This is not a heap memory issue — it's an OS-level thread limit problem. The fix is at the Linux system configuration level (limits.conf), not in JVM heap settings (-Xmx). After updating limits.conf and restarting the JCC service, the error should be resolved. Let me know if you need further assistance! 🚀
nawaz.mohammad
·
·
Reduce pipeline concurrency - Yes, this is the root cause, customer sends bulk API requests 400/500 - ulimits are high average thread count is in single digit only - any other way that we can handle it
SnapGPT_App
APP
·
·
Collecting information for your query, please wait......
nawaz.mohammad
·
·
any update please
SnapGPT_App
APP
·
(edited)·
It looks like your message is a bit unclear to me. Could you provide more context about what you're looking for? Here are a few ways I can help you with SnapLogic: - 🔧 Pipeline Help – Need help building or modifying a pipeline? - 🔍 Feature Questions – Want to know how a specific SnapLogic feature works? - 📝 Snap Configuration – Need help configuring a specific Snap? - 💡 Expression Language – Have questions about SnapLogic expressions or syntax? Please share more details and I'll be happy to assist! 😊

SnapGPT_App
APP
·
Resolving java.lang.OutOfMemoryError: unable to create native thread in SnapLogic This error typically occurs on Groundplex (on-premise) nodes running on Linux, where system-level resource limits (ulimit) are set too low, preventing the JVM from creating new native threads under high pipeline loads. --- 🔍 Root Cause Linux installations often have conservative default ulimit settings. When SnapLogic pipelines run at higher concurrency or load, the JCC (Java Component Container) node attempts to spawn more threads than the OS allows — resulting in this OutOfMemoryError. --- ✅ Recommended Fix: Increase System ulimit Settings Step 1: Edit the /etc/security/limits.conf file and add the following entries for the snapuser account:
snapuser soft nproc 8192 snapuser hard nproc 65536 snapuser soft nofile 8192 snapuser hard nofile 65536

- nproc — controls the maximum number of processes/threads the user can create. - nofile — controls the maximum number of open file descriptors.
Step 2: Restart the JCC process to apply the changes:
bash sudo /opt/snaplogic/bin/jcc.sh restart
--- 🛠️ Additional Suggestions | Action | Details | |---|---| | Reduce pipeline concurrency | If using Pipeline Execute with a high pool size, consider reducing it to lower thread demand. | | Monitor JVM memory | Use SnapLogic Monitor → Metrics to check heap/non-heap memory usage on your nodes. | | Scale your Groundplex | Add more JCC nodes to distribute the load across multiple machines. | | Review pipeline design | Avoid unnecessarily spawning many concurrent sub-pipelines if not required. | --- 📝 Key Takeaway This is not a heap memory issue — it's an OS-level thread limit problem. The fix is at the Linux system configuration level (limits.conf), not in JVM heap settings (-Xmx). After updating limits.conf and restarting the JCC service, the error should be resolved. Let me know if you need further assistance! 🚀
nawaz.mohammad
·
·
Reduce pipeline concurrency - Yes, this is the root cause, customer sends bulk API requests 400/500 - ulimits are high average thread count is in single digit only - any other way that we can handle it
SnapGPT_App
APP
·
·
Collecting information for your query, please wait......
nawaz.mohammad
·
·
any update please
SnapGPT_App
APP
·
(edited)·
It looks like your message is a bit unclear to me. Could you provide more context about what you're looking for? Here are a few ways I can help you with SnapLogic: - 🔧 Pipeline Help – Need help building or modifying a pipeline? - 🔍 Feature Questions – Want to know how a specific SnapLogic feature works? - 📝 Snap Configuration – Need help configuring a specific Snap? - 💡 Expression Language – Have questions about SnapLogic expressions or syntax? Please share more details and I'll be happy to assist! 😊