--- title: Reindexing Search slug: /how-to-guides/admin-guide/Reindexing-Search --- # Reindexing Search If you are encountering any of the following issues: - Mismatch in counts of Data Assets. - Data not appearing. - Errors such as `shards_exception`. - Problems with the search mechanism. - Empty results in the Explore section. - Missing lineage information. Perform the reindexing process described below. ### Reindex {% partial file="/v1.7/deployment/reindex.md" /%} **Note:** If you continue to experience issues, consider `re-installing` the search application. ## Configuration Parameters for Reindexing This document provides detailed descriptions and best practices for configuring the reindexing process parameters. Proper configuration ensures efficient and reliable reindexing while minimizing potential system bottlenecks. {% image src="/images/v1.7/deployment/upgrade/reindex.png" alt="Reindex Configuration" /%} ### 1. `recreateIndex` **Description**: Determines whether to recreate the index from scratch during the reindexing process. Setting this to `true` will drop the existing index and create a new one. **Best Practice**: Use this option with caution. Set it to `true` only when you need a clean slate, such as after significant changes to your data model or during data migration. For routine updates, keep it `false` to preserve the existing index. ### 2. `batchSize` **Description**: Defines the maximum number of events sent in a single batch during reindexing. The default value is `100`. **Best Practice**: Adjust the batch size based on system capabilities and event size. A larger batch size improves throughput but may increase memory usage and processing time. Monitor performance and fine-tune accordingly. ### 3. `payLoadSize` **Description**: Specifies the maximum payload size (in bytes) for events sent in a batch. Default: `104,857,600 bytes` (100 MB). **Best Practice**: Ensure the payload size is within your system’s handling capacity. If memory issues or timeouts occur, reduce this value to improve stability. ### 4. `producerThreads` **Description**: Indicates the number of threads used for producing events during reindexing. Default: `10`. **Best Practice**: Balance the number of threads with system CPU and I/O capacity. Increasing this number can improve throughput but may lead to contention if set too high. ### 5. `maxConcurrentRequests` **Description**: Specifies the maximum number of concurrent requests sent to the search index at any given time. Default: `100`. **Best Practice**: Tune this value based on the indexing server’s capacity. Too many concurrent requests can overwhelm the server, leading to failures or slowdowns. ### 6. `maxRetries` **Description**: Specifies the maximum number of retry attempts for failed requests. Default: `3 retries`. **Best Practice**: Keep this value reasonable to avoid excessive load during failures. Analyze failure patterns to optimize this setting. ### 7. `initialBackoff` **Description**: Defines the initial backoff time (in milliseconds) before retrying a failed request. Default: `1000 ms` (1 second). **Best Practice**: Start with the default value. Increase it if failures occur frequently due to server overload or network issues. ### 8. `maxBackoff` **Description**: Specifies the maximum backoff time (in milliseconds) for retries. Default: `10,000 ms` (10 seconds). **Best Practice**: Set this value to align with your application’s latency tolerance. A longer backoff can reduce system load during peak times but may slow recovery from errors. ### 9. `queueSize` **Description**: Defines the internal queue size used for reindexing operations. Default: `100`. **Best Practice**: Adjust the queue size based on expected load and available memory resources. A larger queue can handle spikes in processing but requires more memory. ## Example Configuration for Best Practices For high-performance systems, consider the following values as a starting point: ```json { "batchSize": 300, "queueSize": 500, "producerThreads": 20, "maxConcurrentRequests": 500 } ``` Monitor system performance and adjust these parameters to optimize throughput and resource usage.