docs: add Rust compaction tuning example

docs/web/maintenance/compaction.mdx

@@ -12,7 +12,7 @@ availability:
     background, and `optimize()` is not available there.
 ---
 
-import { PyStorageCompactionTuning, PyStorageRebuildVectorIndex } from '/snippets/doc_storage_examples.mdx';
+import { PyStorageCompactionTuning, PyStorageRebuildVectorIndex, RsStorageCompactionTuning } from '/snippets/doc_storage_examples.mdx';
 
 Every write commits a new table version, and versions accumulate: small files
 from frequent appends, superseded files from updates and deletes, and rows added
@@ -111,8 +111,8 @@ until the first supported release is confirmed.
 
 ### Tune compaction for wide rows {#tune-wide-rows}
 
-For an existing local Python table, derive a fragment row target from the
-expected row size. This example uses rows averaging 1 KiB and a 64 KiB fragment
+For an existing local table, derive a fragment row target from the expected
+row size. These examples use rows averaging 1 KiB and a 64 KiB fragment
 target; choose sizes for your workload. Smaller scan batches and one compaction
 task at a time can also reduce memory use.
 
@@ -120,8 +120,18 @@ task at a time can also reduce memory use.
     <CodeBlock filename="Python" language="Python" icon="python">
     {PyStorageCompactionTuning}
     </CodeBlock>
+    <CodeBlock filename="Rust" language="Rust" icon="rust">
+    {RsStorageCompactionTuning}
+    </CodeBlock>
 </CodeGroup>
 
+The Rust example runs compaction only. Run pruning and index optimization
+separately when needed; Python's `optimize()` includes those steps.
+
+TypeScript's `optimize()` does not currently expose the fragment row target,
+scan batch size, or compaction thread count. These tuning examples apply to
+Python and Rust local tables.
+
 Planning remains row based. The row target bounds later passes after existing
 oversized fragments have been rewritten; the first pass rewrites those
 fragments whole, so peak memory can exceed the target. `max_bytes_per_file`

docs/web/snippets/doc_storage_examples.mdx

@@ -4,3 +4,5 @@ export const PyStorageCompactionTuning = "from lancedb import CompactionOptions\
 
 export const PyStorageRebuildVectorIndex = "from lancedb.index import IvfFlat\n\ntable.create_index(\n    \"vector\",\n    config=IvfFlat(distance_type=\"l2\", num_partitions=4),\n    replace=True,\n)\n";
 
+export const RsStorageCompactionTuning = "use lancedb::table::{CompactionOptions, OptimizeAction};\n\nlet desired_fragment_bytes: usize = 64 * 1024;\nlet average_row_bytes: usize = 1024; // Estimate from representative rows.\nlet options = CompactionOptions {\n    target_rows_per_fragment: (desired_fragment_bytes / average_row_bytes).max(1),\n    batch_size: Some(16),\n    num_threads: Some(1),\n    ..Default::default()\n};\ntable\n    .optimize(OptimizeAction::Compact {\n        options,\n        remap_options: None,\n    })\n    .await?;\n";
+