innodb_buffer_pool_size
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
innodb_buffer_pool_size has 23 facts recorded in Dontopedia across 4 references, with 4 live disagreements.
Mostly:rdf:type(4), has unit(3), has value(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasSettingHas Setting(2)
- Database Configuration
ex:database-configuration - Database Configuration
ex:database-configuration
hasParameterHas Parameter(1)
- Mysql Config Block
ex:mysql-config-block
Other facts (21)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | My Sql Configuration Setting | [1] |
| Rdf:type | Config Parameter | [2] |
| Rdf:type | My Sql Configuration Setting | [3] |
| Rdf:type | Config Parameter | [4] |
| Has Unit | G | [1] |
| Has Unit | Gigabyte Unit | [3] |
| Has Unit | G | [4] |
| Has Value | 1G | [2] |
| Has Value | One Gigabyte | [2] |
| Has Value | 1 | [4] |
| Affects | Data Caching | [3] |
| Affects | Memory Usage | [4] |
| Has Purpose | cache-frequently-accessed-data | [1] |
| Has Recommended Value | 1G | [1] |
| Requires Action | increase | [1] |
| Belongs in Section | Mysqld Section | [2] |
| Part of | Buffer Pool Config | [2] |
| Recommended Value | 1G | [3] |
| Purpose | ensure that frequently accessed data is cached in memory | [3] |
| Configured in Section | Mysqld Section | [3] |
| Targets | Frequently Accessed Data | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (4)
ctx:claims/beam/9ba8d202-48c9-428f-8f4a-96815627d3a0- full textbeam-chunktext/plain1 KB
doc:beam/9ba8d202-48c9-428f-8f4a-96815627d3a0Show excerpt
CREATE INDEX idx_document_id ON documents(document_id); ``` For a covering index: ```sql CREATE INDEX idx_covering ON documents(document_id, column1, column2, ...); ``` Replace `column1`, `column2`, etc., with the actual columns you need…
ctx:claims/beam/bbc02def-1ef9-49af-9fce-f28930a99f2e- full textbeam-chunktext/plain1 KB
doc:beam/bbc02def-1ef9-49af-9fce-f28930a99f2eShow excerpt
- **CPU**: Upgrade to a faster CPU if necessary. - **Memory**: Increase RAM to allow more data to be cached in memory. - **Disk I/O**: Use SSDs for faster read/write speeds. #### 6. Concurrency Management Manage concurrency to avoid conten…
ctx:claims/beam/80acad74-9ace-47e5-af3f-3272629f2c65- full textbeam-chunktext/plain1 KB
doc:beam/80acad74-9ace-47e5-af3f-3272629f2c65Show excerpt
Sometimes, rewriting the query can help MySQL use the index more effectively. Here are a few tips: 1. **Avoid Wildcard Selects**: Instead of selecting all columns (`*`), specify only the columns you need. This can reduce the amount of d…
ctx:claims/beam/cb1056c3-1ada-4dc2-81fc-efd623a7eb64
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