alamb commented on code in PR #21110: URL: https://github.com/apache/datafusion/pull/21110#discussion_r3011559126
##########
docs/source/user-guide/configs.md:
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@@ -112,6 +112,7 @@ The following configuration settings are available:
| datafusion.execution.parquet.allow_single_file_parallelism |
true | (writing) Controls whether DataFusion will attempt
to speed up writing parquet files by serializing them in parallel. Each column
in each row group in each output file are serialized in parallel leveraging a
maximum possible core count of n_files*n_row_groups*n_columns.
|
| datafusion.execution.parquet.maximum_parallel_row_group_writers | 1
| (writing) By default parallel parquet writer is tuned
for minimum memory usage in a streaming execution plan. You may see a
performance benefit when writing large parquet files by increasing
maximum_parallel_row_group_writers and
maximum_buffered_record_batches_per_stream if your system has idle cores and
can tolerate additional memory usage. Boosting these values is likely
worthwhile when writing out already in-memory data, such as from a cached data
frame.
|
| datafusion.execution.parquet.maximum_buffered_record_batches_per_stream | 2
| (writing) By default parallel parquet writer is tuned
for minimum memory usage in a streaming execution plan. You may see a
performance benefit when writing large parquet files by increasing
maximum_parallel_row_group_writers and
maximum_buffered_record_batches_per_stream if your system has idle cores and
can tolerate additional memory usage. Boosting these values is likely
worthwhile when writing out already in-memory data, such as from a cached data
frame.
|
+| datafusion.execution.parquet.use_content_defined_chunking |
NULL | (writing) EXPERIMENTAL: Enable content-defined
chunking (CDC) when writing parquet files. When `Some`, CDC is enabled with the
given options; when `None` (the default), CDC is disabled. When CDC is enabled,
parallel writing is automatically disabled since the chunker state must persist
across row groups.
|
Review Comment:
why is it marked "Experimental"?
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