table_finalize.shard_table_buffer

Provides a parallel execution runtime for R that emphasizes
deterministic memory behavior and efficient handling of large shared inputs.
'shard' enables zero-copy parallel reads via shared/memory-mapped segments,
encourages explicit output buffers to avoid large result aggregation, and
supervises worker processes to mitigate memory drift via controlled recycling.
Diagnostics report peak memory usage, end-of-run memory return, and hidden
copy/materialization events to support reproducible performance benchmarking.

Bradley Buchsbaum

shard

Deterministic, Zero-Copy Parallel Execution for R

table_finalize.shard_table_buffer function

<dl><dt>target</dt>
<dd>A <code>shard_table_buffer</code>.</dd>
<dt>materialize</dt>
<dd><code>"never"</code>, <code>"auto"</code>, or <code>"always"</code>.</dd>
<dt>max_bytes</dt>
<dd>For <code>"auto"</code>, materialize only if estimated bytes &lt;= max_bytes.</dd>
<dt>...</dt>
<dd>Reserved for future extensions.</dd></dl>

Arguments

Finalize a table buffer — table_finalize.shard_table_buffer

<dl>

<dt>target</dt>
<dd>A <code>shard_table_buffer</code>.</dd>


<dt>materialize</dt>
<dd><code>"never"</code>, <code>"auto"</code>, or <code>"always"</code>.</dd>


<dt>max_bytes</dt>
<dd>For <code>"auto"</code>, materialize only if estimated bytes &lt;= max_bytes.</dd>


<dt>...</dt>
<dd>Reserved for future extensions.</dd>

</dl>

table_finalize.shard_table_buffer: Finalize a table buffer

Description

Usage

Value

Arguments