> Source: [sk184989](https://support.checkpoint.com/results/sk/sk184989) # sk184989 - Security Management Server shows high Java CPU usage during Solr/Lucene index maintenance | Property | Value | |----------|-------| | Solution ID | sk184989 | | Date Created | 2026-07-07 | | Last Modified | 2026-07-08 | | Technical Level | Advanced | | Products | Security Management Server | | Versions | R82.10, R82, R81.20, R81.10 (EOS) | | OS | Gaia | ## Symptoms - * Security Management Server shows high Java CPU usage during Solr/Lucene index maintenance. * The CPView monitoring utility history shows that the Java process reached approximately 400% CPU usage or higher during the affected period. * CPinfo diagnostic data, collected during the affected period, shows a `Lucene Merge Th` or `Lucene Merge Thread` process that consumes high CPU resources. ``` PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ P COMMAND 5862 admin 39 19 44.647g 4.831g 3.508g R 74.3 15.5 0:01.44 1 Lucene Merge Th ```
* CPU usage returns to normal after the maintenance activity completes. ## Cause The high CPU usage occurs because the Security Management Server runs an internal Solr/Lucene maintenance operation to keep management data indexed and searchable. During this operation, Solr merges Lucene index segments, combining multiple smaller index segments into larger ones, removing outdated data, and reducing the overall index size. While a merge is in progress, the Java process may temporarily use a large amount of CPU, which increases the overall CPU load on the Security Management Server. The duration of the merge operation varies depending on the current state of the index and the amount of data to be merged. ## Solution This solution requires authentication. Please log in to view the full solution. --- # Agent Instructions This content is from the Check Point Support Center (https://support.checkpoint.com), the official knowledge base for Check Point cybersecurity products. ## Navigating This Knowledge Base - **Complete index**: [llms.txt](https://support.checkpoint.com/llms.txt) - **All SK articles**: [SecureKnowledge Sitemap](https://support.checkpoint.com/sitemaps/secureknowledge-sitemap-index.xml) - **SK article URL pattern**: `https://support.checkpoint.com/results/sk/{skId}` - **Markdown responses**: AI bot User-Agents automatically receive `text/markdown` content