16988198748

Committed 15 Aug 2025 10:31AM UTC coverage: 87.744% (+0.03%) from 87.718%

Build # 16988198748

Build Type

Pull #4180

github

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web-flow

Commit Message

Merge 3b547aaf1 into 7a89e7fa1

Pull Request Pull Request #4180: feat: Support more datafusion features

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/vortex-datafusion/src/persistent/source.rs

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright the Vortex contributors

use std::any::Any;
use std::fmt::Formatter;
use std::sync::{Arc, Weak};

use dashmap::DashMap;
use datafusion::arrow::datatypes::SchemaRef;
use datafusion::common::{Result as DFResult, Statistics};
use datafusion::config::ConfigOptions;
use datafusion::datasource::physical_plan::{FileOpener, FileScanConfig, FileSource};
use datafusion::datasource::schema_adapter::{DefaultSchemaAdapterFactory, SchemaAdapterFactory};
use datafusion::physical_expr::schema_rewriter::{
    DefaultPhysicalExprAdapterFactory, PhysicalExprAdapterFactory,
};
use datafusion::physical_expr::{PhysicalExprRef, conjunction};
use datafusion::physical_plan::filter_pushdown::{
    FilterPushdownPropagation, PushedDown, PushedDownPredicate,
};
use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet;
use datafusion::physical_plan::{DisplayFormatType, PhysicalExpr};
use object_store::ObjectStore;
use object_store::path::Path;
use vortex::error::VortexExpect as _;
use vortex::file::VORTEX_FILE_EXTENSION;
use vortex::layout::LayoutReader;
use vortex::metrics::VortexMetrics;

use super::cache::VortexFileCache;
use super::metrics::PARTITION_LABEL;
use super::opener::VortexFileOpener;
use crate::convert::exprs::can_be_pushed_down;

/// A config for [`VortexFileOpener`]. Used to create [`DataSourceExec`] based physical plans.
///
/// [`DataSourceExec`]: datafusion::datasource::source::DataSourceExec
#[derive(Clone)]
pub struct VortexSource {
    pub(crate) file_cache: VortexFileCache,
    pub(crate) predicate: Option<PhysicalExprRef>,
    pub(crate) batch_size: Option<usize>,
    pub(crate) projected_statistics: Option<Statistics>,
    /// This is the file schema the table expects, which is the table's schema without partition columns, and **not** the file's physical schema.
    pub(crate) arrow_file_schema: Option<SchemaRef>,
    pub(crate) schema_adapter_factory: Option<Arc<dyn SchemaAdapterFactory>>,
    pub(crate) expr_adapter_factory: Option<Arc<dyn PhysicalExprAdapterFactory>>,
    pub(crate) metrics: VortexMetrics,
    _unused_df_metrics: ExecutionPlanMetricsSet,
    /// Shared layout readers, the source only lives as long as one scan.
    ///
    /// Sharing the readers allows us to only read every layout once from the file, even across partitions.
    layout_readers: Arc<DashMap<Path, Weak<dyn LayoutReader>>>,
}

impl VortexSource {
    pub(crate) fn new(file_cache: VortexFileCache, metrics: VortexMetrics) -> Self {
        Self {
            file_cache,
            metrics,
            predicate: None,
            batch_size: None,
            projected_statistics: None,
            arrow_file_schema: None,
            schema_adapter_factory: None,
            expr_adapter_factory: None,
            _unused_df_metrics: Default::default(),
            layout_readers: Arc::new(DashMap::default()),
        }
    }

    /// Sets a [`PhysicalExprAdapterFactory`] for the [`VortexSource`].
    /// Currently, this must be provided in order to filter columns in files that have a different data type from the unified table schema.
    ///
    /// This factory will take precedence when opening files over instances provided by the [`FileScanConfig`].
    pub fn with_expr_adapter_factory(
        &self,
        expr_adapter_factory: Arc<dyn PhysicalExprAdapterFactory>,
    ) -> Arc<dyn FileSource> {
        let mut source = self.clone();
        source.expr_adapter_factory = Some(expr_adapter_factory);
        Arc::new(source)
    }
}

impl FileSource for VortexSource {
    fn create_file_opener(
        &self,
        object_store: Arc<dyn ObjectStore>,
        base_config: &FileScanConfig,
        partition: usize,
    ) -> Arc<dyn FileOpener> {
        let partition_metrics = self
            .metrics
            .child_with_tags([(PARTITION_LABEL, partition.to_string())].into_iter());

        let batch_size = self
            .batch_size
            .vortex_expect("batch_size must be supplied to VortexSource");

        let expr_adapter = self
            .expr_adapter_factory
            .as_ref()
            .or(base_config.expr_adapter_factory.as_ref());
        let schema_adapter = self.schema_adapter_factory.as_ref();

        // This match is here to support the behavior defined by [`ListingTable`], see https://github.com/apache/datafusion/issues/16800 for more details.
        let (expr_adapter_factory, schema_adapter_factory) = match (expr_adapter, schema_adapter) {
            (Some(expr_adapter), Some(schema_adapter)) => {
                (Some(expr_adapter.clone()), schema_adapter.clone())
            }
            (Some(expr_adapter), None) => (
                Some(expr_adapter.clone()),
                Arc::new(DefaultSchemaAdapterFactory) as _,
            ),
            (None, Some(schema_adapter)) => {
                // If no `PhysicalExprAdapterFactory` is specified, we only use the provided `SchemaAdapterFactory`
                (None, schema_adapter.clone())
            }
            (None, None) => (
                Some(Arc::new(DefaultPhysicalExprAdapterFactory) as _),
                Arc::new(DefaultSchemaAdapterFactory) as _,
            ),
        };

        let projection = base_config.file_column_projection_indices().map(Arc::from);

        let opener = VortexFileOpener {
            object_store,
            projection,
            filter: self.predicate.clone(),
            expr_adapter_factory,
            schema_adapter_factory,
            partition_fields: base_config.table_partition_cols.clone(),
            logical_schema: base_config.file_schema.clone(),
            file_cache: self.file_cache.clone(),
            batch_size,
            limit: base_config.limit,
            metrics: partition_metrics,
            layout_readers: self.layout_readers.clone(),
        };

        Arc::new(opener)
    }

    fn as_any(&self) -> &dyn Any {
        self
    }

    fn with_batch_size(&self, batch_size: usize) -> Arc<dyn FileSource> {
        let mut source = self.clone();
        source.batch_size = Some(batch_size);
        Arc::new(source)
    }

    fn with_schema(&self, schema: SchemaRef) -> Arc<dyn FileSource> {
        let mut source = self.clone();
        source.arrow_file_schema = Some(schema);
        Arc::new(source)
    }

    fn with_projection(&self, _config: &FileScanConfig) -> Arc<dyn FileSource> {
        Arc::new(self.clone())
    }

    fn with_statistics(&self, statistics: Statistics) -> Arc<dyn FileSource> {
        let mut source = self.clone();
        source.projected_statistics = Some(statistics);
        Arc::new(source)
    }

    fn metrics(&self) -> &ExecutionPlanMetricsSet {
        &self._unused_df_metrics
    }

    fn statistics(&self) -> DFResult<Statistics> {
        let statistics = self
            .projected_statistics
            .clone()
            .vortex_expect("projected_statistics must be set");

        if self.predicate.is_some() {
            Ok(statistics.to_inexact())
        } else {
            Ok(statistics)
        }
    }

    fn file_type(&self) -> &str {
        VORTEX_FILE_EXTENSION
    }

    fn fmt_extra(&self, t: DisplayFormatType, f: &mut Formatter) -> std::fmt::Result {
        match t {
            DisplayFormatType::Default | DisplayFormatType::Verbose => {
                if let Some(ref predicate) = self.predicate {
                    write!(f, ", predicate: {predicate}")?;
                }
            }
            // Use TreeRender style key=value formatting to display the predicate
            DisplayFormatType::TreeRender => {
                if let Some(ref predicate) = self.predicate {
                    writeln!(f, "predicate={predicate}")?;
                };
            }
        }
        Ok(())
    }

    fn try_pushdown_filters(
        &self,
        filters: Vec<Arc<dyn PhysicalExpr>>,
        _config: &ConfigOptions,
    ) -> DFResult<FilterPushdownPropagation<Arc<dyn FileSource>>> {
        let Some(schema) = self.arrow_file_schema.as_ref() else {
            return Ok(FilterPushdownPropagation::with_parent_pushdown_result(
                vec![PushedDown::No; filters.len()],
            ));
        };

        let mut source = self.clone();

        let filters = filters
            .into_iter()
            .map(|expr| {
                if can_be_pushed_down(&expr, schema) {
                    PushedDownPredicate::supported(expr)
                } else {
                    PushedDownPredicate::unsupported(expr)
                }
            })
            .collect::<Vec<_>>();

        if filters
            .iter()
            .all(|p| matches!(p.discriminant, PushedDown::No))
        {
            return Ok(FilterPushdownPropagation::with_parent_pushdown_result(
                vec![PushedDown::No; filters.len()],
            ));
        }

        let supported = filters
            .iter()
            .filter_map(|p| match p.discriminant {
                PushedDown::Yes => Some(&p.predicate),
                PushedDown::No => None,
            })
            .cloned();

        let predicate = match source.predicate {
            Some(predicate) => conjunction(std::iter::once(predicate).chain(supported)),
            None => conjunction(supported),
        };
        source.predicate = Some(predicate);

        let pushdown_propagation = if source.predicate.clone().is_some() {
            FilterPushdownPropagation::with_parent_pushdown_result(
                filters.iter().map(|f| f.discriminant).collect(),
            )
            .with_updated_node(Arc::new(source) as _)
        } else {
            FilterPushdownPropagation::with_parent_pushdown_result(vec![
                PushedDown::No;
                filters.len()
            ])
        };

        Ok(pushdown_propagation)
    }

    fn repartitioned(
        &self,
        target_partitions: usize,
        repartition_file_min_size: usize,
        output_ordering: Option<datafusion::physical_expr::LexOrdering>,
        config: &FileScanConfig,
    ) -> DFResult<Option<FileScanConfig>> {
        if config.file_compression_type.is_compressed() || config.new_lines_in_values {
            return Ok(None);
        }

        let repartitioned_file_groups_option =
            datafusion::datasource::physical_plan::FileGroupPartitioner::new()
                .with_target_partitions(target_partitions)
                .with_repartition_file_min_size(repartition_file_min_size)
                .with_preserve_order_within_groups(output_ordering.is_some())
                .repartition_file_groups(&config.file_groups);

        if let Some(repartitioned_file_groups) = repartitioned_file_groups_option {
            let mut source = config.clone();
            source.file_groups = repartitioned_file_groups;
            return Ok(Some(source));
        }
        Ok(None)
    }

    fn with_schema_adapter_factory(
        &self,
        factory: Arc<dyn SchemaAdapterFactory>,
    ) -> DFResult<Arc<dyn FileSource>> {
        let mut source = self.clone();
        source.schema_adapter_factory = Some(factory);
        Ok(Arc::new(source))
    }

    fn schema_adapter_factory(&self) -> Option<Arc<dyn SchemaAdapterFactory>> {
        None
    }
}

1	// SPDX-License-Identifier: Apache-2.0
2	// SPDX-FileCopyrightText: Copyright the Vortex contributors
3
4	use std::any::Any;
5	use std::fmt::Formatter;
6	use std::sync::{Arc, Weak};
7
8	use dashmap::DashMap;
9	use datafusion::arrow::datatypes::SchemaRef;
10	use datafusion::common::{Result as DFResult, Statistics};
11	use datafusion::config::ConfigOptions;
12	use datafusion::datasource::physical_plan::{FileOpener, FileScanConfig, FileSource};
13	use datafusion::datasource::schema_adapter::{DefaultSchemaAdapterFactory, SchemaAdapterFactory};
14	use datafusion::physical_expr::schema_rewriter::{
15	DefaultPhysicalExprAdapterFactory, PhysicalExprAdapterFactory,
16	};
17	use datafusion::physical_expr::{PhysicalExprRef, conjunction};
18	use datafusion::physical_plan::filter_pushdown::{
19	FilterPushdownPropagation, PushedDown, PushedDownPredicate,
20	};
21	use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet;
22	use datafusion::physical_plan::{DisplayFormatType, PhysicalExpr};
23	use object_store::ObjectStore;
24	use object_store::path::Path;
25	use vortex::error::VortexExpect as _;
26	use vortex::file::VORTEX_FILE_EXTENSION;
27	use vortex::layout::LayoutReader;
28	use vortex::metrics::VortexMetrics;
29
30	use super::cache::VortexFileCache;
31	use super::metrics::PARTITION_LABEL;
32	use super::opener::VortexFileOpener;
33	use crate::convert::exprs::can_be_pushed_down;
34
35	/// A config for [`VortexFileOpener`]. Used to create [`DataSourceExec`] based physical plans.
36	///
37	/// [`DataSourceExec`]: datafusion::datasource::source::DataSourceExec
38	#[derive(Clone)]
39	pub struct VortexSource {
40	pub(crate) file_cache: VortexFileCache,
41	pub(crate) predicate: Option<PhysicalExprRef>,
42	pub(crate) batch_size: Option<usize>,
43	pub(crate) projected_statistics: Option<Statistics>,
44	/// This is the file schema the table expects, which is the table's schema without partition columns, and not the file's physical schema.
45	pub(crate) arrow_file_schema: Option<SchemaRef>,
46	pub(crate) schema_adapter_factory: Option<Arc<dyn SchemaAdapterFactory>>,
47	pub(crate) expr_adapter_factory: Option<Arc<dyn PhysicalExprAdapterFactory>>,
48	pub(crate) metrics: VortexMetrics,
49	_unused_df_metrics: ExecutionPlanMetricsSet,
50	/// Shared layout readers, the source only lives as long as one scan.
51	///
52	/// Sharing the readers allows us to only read every layout once from the file, even across partitions.
53	layout_readers: Arc<DashMap<Path, Weak<dyn LayoutReader>>>,
54	}
55
56	impl VortexSource {
57	pub(crate) fn new(file_cache: VortexFileCache, metrics: VortexMetrics) -> Self {	360✔
58	Self {	360✔
59	file_cache,	360✔
60	metrics,	360✔
61	predicate: None,	360✔
62	batch_size: None,	360✔
63	projected_statistics: None,	360✔
64	arrow_file_schema: None,	360✔
65	schema_adapter_factory: None,	360✔
66	expr_adapter_factory: None,	360✔
67	_unused_df_metrics: Default::default(),	360✔
68	layout_readers: Arc::new(DashMap::default()),	360✔
69	}	360✔
70	}	360✔
71
72	/// Sets a [`PhysicalExprAdapterFactory`] for the [`VortexSource`].
73	/// Currently, this must be provided in order to filter columns in files that have a different data type from the unified table schema.
74	///
75	/// This factory will take precedence when opening files over instances provided by the [`FileScanConfig`].
NEW 76	pub fn with_expr_adapter_factory(	×
NEW 77	&self,	×
NEW 78	expr_adapter_factory: Arc<dyn PhysicalExprAdapterFactory>,	×
NEW 79	) -> Arc<dyn FileSource> {	×
UNCOV 80	let mut source = self.clone();	×
NEW 81	source.expr_adapter_factory = Some(expr_adapter_factory);	×
NEW 82	Arc::new(source)	×
UNCOV 83	}	×
84	}
85
86	impl FileSource for VortexSource {
87	fn create_file_opener(	484✔
88	&self,	484✔
89	object_store: Arc<dyn ObjectStore>,	484✔
90	base_config: &FileScanConfig,	484✔
91	partition: usize,	484✔
92	) -> Arc<dyn FileOpener> {	484✔
93	let partition_metrics = self	484✔
94	.metrics	484✔
95	.child_with_tags([(PARTITION_LABEL, partition.to_string())].into_iter());	484✔
96
97	let batch_size = self	484✔
98	.batch_size	484✔
99	.vortex_expect("batch_size must be supplied to VortexSource");	484✔
100
101	let expr_adapter = self	484✔
102	.expr_adapter_factory	484✔
103	.as_ref()	484✔
104	.or(base_config.expr_adapter_factory.as_ref());	484✔
105	let schema_adapter = self.schema_adapter_factory.as_ref();	484✔
106
107	// This match is here to support the behavior defined by [`ListingTable`], see https://github.com/apache/datafusion/issues/16800 for more details.
108	let (expr_adapter_factory, schema_adapter_factory) = match (expr_adapter, schema_adapter) {	484✔
NEW 109	(Some(expr_adapter), Some(schema_adapter)) => {	×
NEW 110	(Some(expr_adapter.clone()), schema_adapter.clone())	×
111	}
NEW 112	(Some(expr_adapter), None) => (	×
NEW 113	Some(expr_adapter.clone()),	×
NEW 114	Arc::new(DefaultSchemaAdapterFactory) as _,	×
NEW 115	),	×
NEW 116	(None, Some(schema_adapter)) => {	×
117	// If no `PhysicalExprAdapterFactory` is specified, we only use the provided `SchemaAdapterFactory`
NEW 118	(None, schema_adapter.clone())	×
119	}
120	(None, None) => (	484✔
121	Some(Arc::new(DefaultPhysicalExprAdapterFactory) as _),	484✔
122	Arc::new(DefaultSchemaAdapterFactory) as _,	484✔
123	),	484✔
124	};
125
126	let projection = base_config.file_column_projection_indices().map(Arc::from);	484✔
127
128	let opener = VortexFileOpener {	484✔
129	object_store,	484✔
130	projection,	484✔
131	filter: self.predicate.clone(),	484✔
132	expr_adapter_factory,	484✔
133	schema_adapter_factory,	484✔
134	partition_fields: base_config.table_partition_cols.clone(),	484✔
135	logical_schema: base_config.file_schema.clone(),	484✔
136	file_cache: self.file_cache.clone(),	484✔
137	batch_size,	484✔
138	limit: base_config.limit,	484✔
139	metrics: partition_metrics,	484✔
140	layout_readers: self.layout_readers.clone(),	484✔
141	};	484✔
142
143	Arc::new(opener)	484✔
144	}	484✔
145
146	fn as_any(&self) -> &dyn Any {	174✔
147	self	174✔
148	}	174✔
149
150	fn with_batch_size(&self, batch_size: usize) -> Arc<dyn FileSource> {	484✔
151	let mut source = self.clone();	484✔
152	source.batch_size = Some(batch_size);	484✔
153	Arc::new(source)	484✔
154	}	484✔
155
156	fn with_schema(&self, schema: SchemaRef) -> Arc<dyn FileSource> {	506✔
157	let mut source = self.clone();	506✔
158	source.arrow_file_schema = Some(schema);	506✔
159	Arc::new(source)	506✔
160	}	506✔
161
162	fn with_projection(&self, _config: &FileScanConfig) -> Arc<dyn FileSource> {	484✔
163	Arc::new(self.clone())	484✔
164	}	484✔
165
166	fn with_statistics(&self, statistics: Statistics) -> Arc<dyn FileSource> {	506✔
167	let mut source = self.clone();	506✔
168	source.projected_statistics = Some(statistics);	506✔
169	Arc::new(source)	506✔
170	}	506✔
171
172	fn metrics(&self) -> &ExecutionPlanMetricsSet {	1,142✔
173	&self._unused_df_metrics	1,142✔
174	}	1,142✔
175
176	fn statistics(&self) -> DFResult<Statistics> {	3,624✔
177	let statistics = self	3,624✔
178	.projected_statistics	3,624✔
179	.clone()	3,624✔
180	.vortex_expect("projected_statistics must be set");	3,624✔
181
182	if self.predicate.is_some() {	3,624✔
183	Ok(statistics.to_inexact())	1,318✔
184	} else {
185	Ok(statistics)	2,306✔
186	}
187	}	3,624✔
188
189	fn file_type(&self) -> &str {	×
190	VORTEX_FILE_EXTENSION	×
191	}	×
192
193	fn fmt_extra(&self, t: DisplayFormatType, f: &mut Formatter) -> std::fmt::Result {	×
194	match t {	×
195	DisplayFormatType::Default \| DisplayFormatType::Verbose => {
196	if let Some(ref predicate) = self.predicate {	×
197	write!(f, ", predicate: {predicate}")?;	×
198	}	×
199	}
200	// Use TreeRender style key=value formatting to display the predicate
201	DisplayFormatType::TreeRender => {
202	if let Some(ref predicate) = self.predicate {	×
NEW 203	writeln!(f, "predicate={predicate}")?;	×
204	};	×
205	}
206	}
207	Ok(())	×
208	}	×
209
210	fn try_pushdown_filters(	350✔
211	&self,	350✔
212	filters: Vec<Arc<dyn PhysicalExpr>>,	350✔
213	_config: &ConfigOptions,	350✔
214	) -> DFResult<FilterPushdownPropagation<Arc<dyn FileSource>>> {	350✔
215	let Some(schema) = self.arrow_file_schema.as_ref() else {	350✔
216	return Ok(FilterPushdownPropagation::with_parent_pushdown_result(	×
217	vec![PushedDown::No; filters.len()],	×
218	));	×
219	};
220
221	let mut source = self.clone();	350✔
222
223	let filters = filters	350✔
224	.into_iter()	350✔
225	.map(\|expr\| {	350✔
226	if can_be_pushed_down(&expr, schema) {	134✔
227	PushedDownPredicate::supported(expr)	126✔
228	} else {
229	PushedDownPredicate::unsupported(expr)	8✔
230	}
231	})	134✔
232	.collect::<Vec<_>>();	350✔
233
234	if filters	350✔
235	.iter()	350✔
236	.all(\|p\| matches!(p.discriminant, PushedDown::No))	350✔
237	{
238	return Ok(FilterPushdownPropagation::with_parent_pushdown_result(	268✔
239	vec![PushedDown::No; filters.len()],	268✔
240	));	268✔
241	}	82✔
242
243	let supported = filters	82✔
244	.iter()	82✔
245	.filter_map(\|p\| match p.discriminant {	132✔
246	PushedDown::Yes => Some(&p.predicate),	126✔
247	PushedDown::No => None,	6✔
248	})	132✔
249	.cloned();	82✔
250
251	let predicate = match source.predicate {	82✔
NEW 252	Some(predicate) => conjunction(std::iter::once(predicate).chain(supported)),	×
253	None => conjunction(supported),	82✔
254	};
255	source.predicate = Some(predicate);	82✔
256
257	let pushdown_propagation = if source.predicate.clone().is_some() {	82✔
258	FilterPushdownPropagation::with_parent_pushdown_result(	82✔
259	filters.iter().map(\|f\| f.discriminant).collect(),	82✔
260	)
261	.with_updated_node(Arc::new(source) as _)	82✔
262	} else {
NEW 263	FilterPushdownPropagation::with_parent_pushdown_result(vec![	×
NEW 264	PushedDown::No;	×
NEW 265	filters.len()	×
266	])
267	};
268
269	Ok(pushdown_propagation)	82✔
270	}	350✔
271
272	fn repartitioned(	138✔
273	&self,	138✔
274	target_partitions: usize,	138✔
275	repartition_file_min_size: usize,	138✔
276	output_ordering: Option<datafusion::physical_expr::LexOrdering>,	138✔
277	config: &FileScanConfig,	138✔
278	) -> DFResult<Option<FileScanConfig>> {	138✔
279	if config.file_compression_type.is_compressed() \|\| config.new_lines_in_values {	138✔
NEW 280	return Ok(None);	×
281	}	138✔
282
283	let repartitioned_file_groups_option =	138✔
284	datafusion::datasource::physical_plan::FileGroupPartitioner::new()	138✔
285	.with_target_partitions(target_partitions)	138✔
286	.with_repartition_file_min_size(repartition_file_min_size)	138✔
287	.with_preserve_order_within_groups(output_ordering.is_some())	138✔
288	.repartition_file_groups(&config.file_groups);	138✔
289
290	if let Some(repartitioned_file_groups) = repartitioned_file_groups_option {	138✔
291	let mut source = config.clone();	44✔
292	source.file_groups = repartitioned_file_groups;	44✔
293	return Ok(Some(source));	44✔
294	}	94✔
295	Ok(None)	94✔
296	}	138✔
297
NEW 298	fn with_schema_adapter_factory(	×
NEW 299	&self,	×
NEW 300	factory: Arc<dyn SchemaAdapterFactory>,	×
NEW 301	) -> DFResult<Arc<dyn FileSource>> {	×
NEW 302	let mut source = self.clone();	×
NEW 303	source.schema_adapter_factory = Some(factory);	×
NEW 304	Ok(Arc::new(source))	×
NEW 305	}	×
306
NEW 307	fn schema_adapter_factory(&self) -> Option<Arc<dyn SchemaAdapterFactory>> {	×
NEW 308	None	×
NEW 309	}	×
310	}

vortex-data / vortex / 16988198748

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