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| 1 | +# Index recommendations on SQL Statistics |
| 2 | +Last Update: February 2024 |
| 3 | + |
| 4 | +Original author: maryliag |
| 5 | + |
| 6 | +This document provides an overview of how Index Recommendations are |
| 7 | +used for statement statistics. How frequent they're generated and how they're |
| 8 | +stored. This document doesn't focus on the generation itself. For more information |
| 9 | +on the index recommendation generation, check its [RFC](https://github.com/cockroachdb/cockroach/blob/master/docs/RFCS/20211112_index_recommendation.md). |
| 10 | + |
| 11 | +Table of contents: |
| 12 | + |
| 13 | +- [Overview](#overview) |
| 14 | +- [Cache](#cache) |
| 15 | +- [Cluster Settings](#cluster-settings) |
| 16 | +- [Console](#console) |
| 17 | + |
| 18 | +## Overview |
| 19 | +When a statement is executed, we want to calculate index recommendations for it, in |
| 20 | +case there are better indexes that can improve its execution. Generating an index |
| 21 | +recommendation is a costly operation, so we don't want to generate it on each execution. |
| 22 | +At the same time, generating frequent index recommendations for the same plan would |
| 23 | +likely generate the same results (unless there is a big increase/decrease in rows affected |
| 24 | +by the query). |
| 25 | +With this in mind, we use a cache to store the latest index recommendation for the most |
| 26 | +recent statement fingerprints, avoiding a new generation on each execution. |
| 27 | + |
| 28 | +The value of the recommendation can be found on the column `index_recommendation` |
| 29 | +as a `STRING[] NOT NULL` on: |
| 30 | +- `system.statement_statistics` |
| 31 | +- `crdb_internal.statement_statistics` |
| 32 | +- `crdb_internal_statement_statistics_persisted` |
| 33 | + |
| 34 | +When recording a statement, it calls the function `ShouldGenerateIndexRecommendation`. |
| 35 | +This function returns true if there was no index recommendation generated for the |
| 36 | +statement fingerprint in the past hour and there was at least 5 executions |
| 37 | +(`minExecCount`) of it. |
| 38 | +We don't generate index recommendations for statement fingerprints with 5 or fewer |
| 39 | +executions because we don't want to perform a heavy operation[^1] for a statement that |
| 40 | +is barely executed. |
| 41 | + |
| 42 | +Index recommendations for the SQL Statistics system are only generated for DML |
| 43 | +statements that are not internal. |
| 44 | + |
| 45 | +It then calls `UpdateIndexRecommendations`. This function can make two types of updates: |
| 46 | +1. A new index recommendation was generated: it updates the value on the cache and |
| 47 | +reset the last update time and the execution count. |
| 48 | +2. No index recommendation was generated: increase the counter of execution count. The |
| 49 | +counter is only increased if less than 5, since that is the count we care about. If the |
| 50 | +value is already greater than 5, no need to keep updating. |
| 51 | + |
| 52 | +If a recommendation is generated for a new fingerprint, and we reached the limit |
| 53 | +on the cache of how much we can store, it will try to remove any entries that have |
| 54 | +the last update value older than 24hrs (`timeThresholdForDeletion`). It also needs |
| 55 | +to be at least 5 minutes (`timeBetweenCleanups`) between cleanups (to avoid cases where |
| 56 | +a lot of new fingerprints are created and could cause contention on the cache). If the |
| 57 | +limit has reached and has been less the `timeBetweenCleanups` or no data older than |
| 58 | +24hrs can be deleted, new entries won't be added to the cache. |
| 59 | + |
| 60 | +## Cache |
| 61 | +The Index Recommendation cache is a mutex map with corresponding info: |
| 62 | +- Key (indexRecKey): statement fingerprint, database, plan hash |
| 63 | +- Value (indexRecInfo): last generated timestamp, recommendations, execution count |
| 64 | + |
| 65 | +## Cluster Settings |
| 66 | +There are 2 cluster settings controlling this system: |
| 67 | +- `sql.metrics.statement_details.index_recommendation_collection.enabled`: |
| 68 | +enable/disable if the system will generate index recommendations. This is a safety |
| 69 | +measure in case there is a performance degradation on this feature, and it can be |
| 70 | +disabled. Default value is `true`. |
| 71 | +- `sql.metrics.statement_details.max_mem_reported_idx_recommendations`: |
| 72 | +defines the maximum number of reported index recommendations info we store in the |
| 73 | +cache defined previously. Default value is `5000`. |
| 74 | + |
| 75 | +## Console |
| 76 | +This information can be seen in a few different places: |
| 77 | +- Statement Details page (Explain Plan tab): on the table on the page, there is a |
| 78 | +column for `Insights`. If a row shows that there are insights for that particular |
| 79 | +plan, when clicking on it, it will display the recommendation. |
| 80 | +- Insights (Workload): Any Insights with type `Suboptimal Plan` can be selected and |
| 81 | +the index recommendation will be displayed on its details page. |
| 82 | +- Insights (Schema): It will list the latest index recommendation per fingerprint. |
| 83 | + |
| 84 | +All options above will display a button to create/alter/drop the index directly |
| 85 | +from the Console UI. |
| 86 | + |
| 87 | +[^1]: The cost of generating index recommendations is highly variable. Index recommendations are generated by: |
| 88 | +1. Analyzing the query to find "hypothetical indexes" that may improve the performance of the query. |
| 89 | +2. Running the query optimizer as if the hypothetical indexes actually exist. |
| 90 | +3. Any hypothetical index in the final query plan becomes an index recommendation. |
| 91 | + |
| 92 | +Step 1 is not picky. Its goal is to cover all possible indexes that might help. |
| 93 | +In general, the number of hypothetical indexes grows with the number of filtered columns |
| 94 | +in the query. |
| 95 | +Step 2 can be fast for simple queries (<1ms), but the cost of optimization grows with |
| 96 | +the number of joins, filters, and columns (>1s). |
| 97 | +If Step 1 adds many hypothetical indexes, Step 2 will take longer because there are more query plans to explore. |
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