use std::{any::Any, sync::Arc};
use crate::{
datasources::{
exon_listing_table_options::{
ExonIndexedListingOptions, ExonListingConfig, ExonListingOptions,
},
hive_partition::filter_matches_partition_cols,
ExonFileType,
},
physical_plan::{
file_scan_config_builder::FileScanConfigBuilder, infer_region,
object_store::pruned_partition_list,
},
};
use arrow::datatypes::{Field, SchemaRef};
use async_trait::async_trait;
use datafusion::{
catalog::Session,
datasource::{
file_format::file_compression_type::FileCompressionType, physical_plan::FileScanConfig,
TableProvider,
},
error::Result as DataFusionResult,
logical_expr::{TableProviderFilterPushDown, TableType},
physical_plan::ExecutionPlan,
prelude::Expr,
};
use exon_bigwig::value_batch_reader::SchemaBuilder;
use exon_common::TableSchema;
use futures::TryStreamExt;
use noodles::core::Region;
use super::scanner::Scanner;
#[derive(Debug, Clone)]
pub struct ListingTableOptions {
file_extension: String,
table_partition_cols: Vec<Field>,
indexed: bool,
regions: Vec<Region>,
}
impl Default for ListingTableOptions {
fn default() -> Self {
Self::new()
}
}
#[async_trait]
impl ExonListingOptions for ListingTableOptions {
fn table_partition_cols(&self) -> &[Field] {
&self.table_partition_cols
}
fn file_extension(&self) -> &str {
&self.file_extension
}
async fn create_physical_plan(
&self,
conf: FileScanConfig,
) -> datafusion::error::Result<Arc<dyn ExecutionPlan>> {
let scan = Scanner::new(conf.clone());
Ok(Arc::new(scan))
}
}
#[async_trait]
impl ExonIndexedListingOptions for ListingTableOptions {
fn indexed(&self) -> bool {
self.indexed
}
fn regions(&self) -> &[Region] {
&self.regions
}
async fn create_physical_plan_with_regions(
&self,
conf: FileScanConfig,
regions: Vec<Region>,
) -> datafusion::error::Result<Arc<dyn ExecutionPlan>> {
let region = regions.first().unwrap();
let scan = Scanner::new(conf.clone()).with_some_region_filter(Some(region.clone()));
Ok(Arc::new(scan))
}
}
impl ListingTableOptions {
pub fn new() -> Self {
let file_extension =
ExonFileType::BigWigValue.get_file_extension(FileCompressionType::UNCOMPRESSED);
Self {
file_extension,
table_partition_cols: Vec::new(),
indexed: false,
regions: Vec::new(),
}
}
pub fn with_table_partition_cols(self, table_partition_cols: Vec<Field>) -> Self {
Self {
table_partition_cols,
..self
}
}
pub fn infer_schema(&self) -> datafusion::error::Result<TableSchema> {
let mut schema_builder = SchemaBuilder::default();
schema_builder.add_partition_fields(self.table_partition_cols.clone());
Ok(schema_builder.build())
}
}
#[derive(Debug, Clone)]
pub struct ListingTable<T> {
table_schema: TableSchema,
config: ExonListingConfig<T>,
}
impl<T> ListingTable<T> {
pub fn new(config: ExonListingConfig<T>, table_schema: TableSchema) -> Self {
Self {
table_schema,
config,
}
}
}
#[async_trait]
impl<T: ExonIndexedListingOptions + 'static> TableProvider for ListingTable<T> {
fn as_any(&self) -> &dyn Any {
self
}
fn schema(&self) -> SchemaRef {
Arc::clone(&self.table_schema.table_schema())
}
fn table_type(&self) -> TableType {
TableType::Base
}
fn supports_filters_pushdown(
&self,
filters: &[&Expr],
) -> DataFusionResult<Vec<TableProviderFilterPushDown>> {
Ok(filters
.iter()
.map(|f| match f {
Expr::ScalarFunction(scalar) => {
if scalar.name() == "bigwig_region_filter" {
TableProviderFilterPushDown::Exact
} else {
filter_matches_partition_cols(f, self.config.options.table_partition_cols())
}
}
_ => filter_matches_partition_cols(f, self.config.options.table_partition_cols()),
})
.collect())
}
async fn scan(
&self,
state: &dyn Session,
projection: Option<&Vec<usize>>,
filters: &[Expr],
limit: Option<usize>,
) -> DataFusionResult<Arc<dyn ExecutionPlan>> {
let url = if let Some(url) = self.config.inner.table_paths.first() {
url
} else {
return Err(datafusion::error::DataFusionError::Execution(
"No object store URL found".to_string(),
));
};
let object_store = state.runtime_env().object_store(url.object_store())?;
let file_list = pruned_partition_list(
&object_store,
self.config.inner.table_paths.first().unwrap(),
filters,
self.config.options.file_extension(),
self.config.options.table_partition_cols(),
)
.await?
.try_collect::<Vec<_>>()
.await?;
let file_schema = self.table_schema.file_schema()?;
let file_scan_config =
FileScanConfigBuilder::new(url.object_store(), file_schema, vec![file_list])
.projection_option(projection.cloned())
.limit_option(limit)
.table_partition_cols(self.config.options.table_partition_cols().to_vec())
.build();
let regions = filters
.iter()
.map(|f| {
if let Expr::ScalarFunction(s) = f {
let r = infer_region::infer_region_from_udf(s, "bigwig_region_filter")?;
Ok(r)
} else {
Ok(None)
}
})
.collect::<crate::Result<Vec<_>>>()?
.into_iter()
.flatten()
.collect::<Vec<_>>();
if regions.is_empty() {
let plan = self
.config
.options
.create_physical_plan(file_scan_config)
.await?;
Ok(plan)
} else if regions.len() == 1 {
tracing::info!(
"Creating physical plan with region: {:?}",
regions.first().unwrap()
);
let plan = self
.config
.options
.create_physical_plan_with_regions(file_scan_config.clone(), regions.to_vec())
.await?;
Ok(plan)
} else {
let mut plans = Vec::new();
for region in regions {
let plan = self
.config
.options
.create_physical_plan_with_regions(file_scan_config.clone(), vec![region])
.await?;
plans.push(plan);
}
let plan = datafusion::physical_plan::union::UnionExec::new(plans);
Ok(Arc::new(plan))
}
}
}