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Message type: E = Error
Message class: HCSKW_ANALYZER - Messages for Access to Static KW
Message number: 102
Message text: Wait terminated due to timeout
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HCSKW_ANALYZER102
- Wait terminated due to timeout ?The SAP error message HCSKW_ANALYZER102: Wait terminated due to timeout typically occurs in the context of the SAP HANA database, particularly when using the HANA Cloud Services or when performing certain operations that involve long-running queries or processes. This error indicates that a specific operation or query has exceeded the allowed time limit for execution, leading to a timeout.
Causes:
- Long-Running Queries: The query being executed may be complex or involve large datasets, causing it to take longer than the configured timeout period.
- Resource Contention: High resource usage on the database server (CPU, memory, I/O) can lead to delays in query execution.
- Locking Issues: If other transactions are holding locks on the resources needed by your query, it may lead to waiting and eventually timing out.
- Network Latency: If the query involves remote data access or if there are network issues, it may contribute to longer execution times.
- Configuration Settings: The timeout settings for the database or the specific session may be set too low for the operations being performed.
Solutions:
- Optimize Queries: Review and optimize the SQL queries to ensure they are efficient. Use appropriate indexes, avoid unnecessary joins, and limit the amount of data processed.
- Increase Timeout Settings: If the operation legitimately requires more time, consider increasing the timeout settings in the database configuration or session settings.
- Monitor Resource Usage: Use monitoring tools to check the resource usage of the HANA database. If the system is under heavy load, consider scaling up resources or optimizing other running processes.
- Check for Locks: Use the HANA Studio or SQL commands to check for locks that may be affecting your query. Resolve any locking issues if possible.
- Batch Processing: If processing large datasets, consider breaking the operation into smaller batches to reduce execution time.
- Network Optimization: Ensure that the network connection to the database is stable and has sufficient bandwidth.
Related Information:
If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance, providing them with detailed logs and context around the error.
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