corwinjoy commented on code in PR #16351: URL: https://github.com/apache/datafusion/pull/16351#discussion_r2168085502
##########
docs/source/user-guide/configs.md:
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@@ -81,6 +81,8 @@ Environment variables are read during `SessionConfig`
initialisation so they mus
| 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.file_decryption_properties |
NULL | Optional file decryption properties
|
Review Comment:
Thanks! Docs added to `docs/source/user-guide/cli/datasources.md` which
explains parquet specific options and gives an example.
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