as_tibble.shard_row_groups

Materialize a row-groups handle into a data.frame/tibble

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

as_tibble.shard_row_groups function

<dl><dt>x</dt>
<dd>A <code>shard_row_groups</code> handle.</dd>
<dt>max_bytes</dt>
<dd>Accepted for API consistency; currently unused for row-groups.</dd>
<dt>...</dt>
<dd>Reserved for future extensions.</dd></dl>

Arguments

Materialize a row-groups handle into a data.frame/tibble — as_tibble.shard_row_groups

<dl>

<dt>x</dt>
<dd>A <code>shard_row_groups</code> handle.</dd>


<dt>max_bytes</dt>
<dd>Accepted for API consistency; currently unused for row-groups.</dd>


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

</dl>

as_tibble.shard_row_groups: Materialize a row-groups handle into a data.frame/tibble

Description

Usage

Value

Arguments