wiedld commented on code in PR #11444:
URL: https://github.com/apache/datafusion/pull/11444#discussion_r1678713488
##########
datafusion/common/src/config.rs:
##########
@@ -1874,4 +2042,193 @@ mod tests {
let parsed_metadata = table_config.parquet.key_value_metadata;
assert_eq!(parsed_metadata.get("key_dupe"), Some(&Some("B".into())));
}
+
+ #[cfg(feature = "parquet")]
+ mod test_conversion_from_session_to_writer_props {
+ use super::super::*;
+ use parquet::{basic::Compression, file::properties::EnabledStatistics};
+
+ const COL_NAME: &str = "configured";
+
+ /// Take the column defaults provided in [`ParquetOptions`], and
generate a non-default col config.
+ fn column_options_with_non_defaults(
+ src_col_defaults: &ParquetOptions,
+ ) -> ColumnOptions {
+ ColumnOptions {
+ compression: Some("zstd(22)".into()),
+ dictionary_enabled:
src_col_defaults.dictionary_enabled.map(|v| !v),
+ statistics_enabled: Some("page".into()),
+ max_statistics_size: Some(72),
+ encoding: Some("RLE".into()),
+ bloom_filter_enabled: Some(true),
+ bloom_filter_fpp: Some(0.72),
+ bloom_filter_ndv: Some(72),
+ }
+ }
+
+ fn parquet_options_with_non_defaults() -> ParquetOptions {
+ let defaults = ParquetOptions::default();
+ let writer_version = if defaults.writer_version.eq("1.0") {
+ "2.0"
+ } else {
+ "1.0"
+ };
+
+ ParquetOptions {
+ data_pagesize_limit: 42,
+ write_batch_size: 42,
+ writer_version: writer_version.into(),
+ compression: Some("zstd(22)".into()),
+ dictionary_enabled:
Some(!defaults.dictionary_enabled.unwrap_or(false)),
+ dictionary_page_size_limit: 42,
+ statistics_enabled: Some("chunk".into()),
+ max_statistics_size: Some(42),
+ max_row_group_size: 42,
+ created_by: "wordy".into(),
+ column_index_truncate_length: Some(42),
+ data_page_row_count_limit: 42,
+ encoding: Some("BYTE_STREAM_SPLIT".into()),
+ bloom_filter_on_write: !defaults.bloom_filter_on_write,
+ bloom_filter_fpp: Some(0.42),
+ bloom_filter_ndv: Some(42),
+
+ // not in WriterProperties, but itemizing here to not skip
newly added props
+ enable_page_index: Default::default(),
+ pruning: Default::default(),
+ skip_metadata: Default::default(),
+ metadata_size_hint: Default::default(),
+ pushdown_filters: Default::default(),
+ reorder_filters: Default::default(),
+ allow_single_file_parallelism: Default::default(),
+ maximum_parallel_row_group_writers: Default::default(),
+ maximum_buffered_record_batches_per_stream: Default::default(),
+ bloom_filter_on_read: Default::default(),
+ }
+ }
+
+ fn extract_column_options(
+ props: &WriterProperties,
+ col: ColumnPath,
+ ) -> ColumnOptions {
+ let bloom_filter_default_props =
props.bloom_filter_properties(&col);
+
+ ColumnOptions {
+ bloom_filter_enabled:
Some(bloom_filter_default_props.is_some()),
+ encoding: props.encoding(&col).map(|s| s.to_string()),
+ dictionary_enabled: Some(props.dictionary_enabled(&col)),
+ compression: match props.compression(&col) {
+ Compression::ZSTD(lvl) => {
+ Some(format!("zstd({})", lvl.compression_level()))
+ }
+ _ => None,
+ },
+ statistics_enabled: Some(
+ match props.statistics_enabled(&col) {
+ EnabledStatistics::None => "none",
+ EnabledStatistics::Chunk => "chunk",
+ EnabledStatistics::Page => "page",
+ }
+ .into(),
+ ),
+ bloom_filter_fpp: bloom_filter_default_props.map(|p| p.fpp),
+ bloom_filter_ndv: bloom_filter_default_props.map(|p| p.ndv),
+ max_statistics_size: Some(props.max_statistics_size(&col)),
+ }
+ }
+
+ /// For testing only, take a single write's props and convert back
into the session config.
+ /// (use identity to confirm correct.)
+ fn session_config_from_writer_props(
+ props: &WriterProperties,
+ ) -> TableParquetOptions {
+ let default_col = ColumnPath::from("col doesn't have specific
config");
+ let default_col_props = extract_column_options(props, default_col);
+
+ let configured_col = ColumnPath::from(COL_NAME);
+ let configured_col_props = extract_column_options(props,
configured_col);
+
+ let key_value_metadata = props
+ .key_value_metadata()
+ .map(|pairs| {
+ HashMap::from_iter(
+ pairs
+ .iter()
+ .cloned()
+ .map(|KeyValue { key, value }| (key, value)),
+ )
+ })
+ .unwrap_or_default();
+
+ TableParquetOptions {
+ global: ParquetOptions {
+ // global options
+ data_pagesize_limit: props.dictionary_page_size_limit(),
+ write_batch_size: props.write_batch_size(),
+ writer_version: format!("{}.0",
props.writer_version().as_num()),
+ dictionary_page_size_limit:
props.dictionary_page_size_limit(),
+ max_row_group_size: props.max_row_group_size(),
+ created_by: props.created_by().to_string(),
+ column_index_truncate_length:
props.column_index_truncate_length(),
+ data_page_row_count_limit:
props.data_page_row_count_limit(),
+
+ // global options which set the default column props
+ encoding: default_col_props.encoding,
+ compression: default_col_props.compression,
+ dictionary_enabled: default_col_props.dictionary_enabled,
+ statistics_enabled: default_col_props.statistics_enabled,
+ max_statistics_size: default_col_props.max_statistics_size,
+ bloom_filter_on_write: default_col_props
+ .bloom_filter_enabled
+ .unwrap_or_default(),
+ bloom_filter_fpp: default_col_props.bloom_filter_fpp,
+ bloom_filter_ndv: default_col_props.bloom_filter_ndv,
+
+ // not in WriterProperties
+ enable_page_index: Default::default(),
+ pruning: Default::default(),
+ skip_metadata: Default::default(),
+ metadata_size_hint: Default::default(),
+ pushdown_filters: Default::default(),
+ reorder_filters: Default::default(),
+ allow_single_file_parallelism: Default::default(),
+ maximum_parallel_row_group_writers: Default::default(),
+ maximum_buffered_record_batches_per_stream:
Default::default(),
+ bloom_filter_on_read: Default::default(),
+ },
+ column_specific_options: HashMap::from([(
+ COL_NAME.into(),
+ configured_col_props,
+ )]),
+ key_value_metadata,
+ }
+ }
+
+ #[test]
Review Comment:
I had to make [a slight
change](https://github.com/apache/datafusion/pull/11444/commits/ad9f695b69336fa7e1cab8cba7e59587428c2a2e)
to avoid a test regression in the sqllogictests.
That^^ change (to avoid test regression) also brings us further from the
matching-default-behaviors between the extern parquet vs datafusion. I [added
more
tests](https://github.com/apache/datafusion/pull/11444/commits/ab950c56142084384df466fa949ee7a1eac70f6d)
to demonstrate this divergence.
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