It’s not possible to identify the specific issues without further information or error messages. However, some possible reasons for poor query performance are:
- The text index is too large (as in the related question, where the total index size is 4GB), making queries slow.
- The index is not being used for the query, as in the related answer where the query planner output shows that the
TEXTstage is not being used. - The dataset is too large, and the query takes a long time to scan through it.
To optimize the index and improve query performance, some possible solutions are: - Consider removing or optimizing any indexes that are not being used or are redundant.
- Use
explain()to analyze the query plan and identify any possible issues with index usage, and adjust the index accordingly. - Use the pipeline framework instead of
find()when dealing with text search queries, as suggested in the related answer. - Consider sharding the dataset to distribute the load across multiple nodes and improve query performance.
However, since there is not enough information provided, the best course of action is to analyze the dataset and query performance using metrics and profiling tools to identify the specific cause of the issue.