use vortex_array::ArrayRef;
use vortex_array::Canonical;
use vortex_array::ExecutionCtx;
use vortex_array::IntoArray;
use vortex_array::arrays::PrimitiveArray;
use vortex_array::arrays::primitive::PrimitiveArrayExt;
use vortex_compressor::estimate::CompressionEstimate;
use vortex_compressor::estimate::EstimateVerdict;
use vortex_compressor::scheme::ChildSelection;
use vortex_compressor::scheme::DescendantExclusion;
use vortex_error::VortexResult;
use vortex_sparse::Sparse;
use vortex_sparse::SparseExt as _;
use crate::ArrayAndStats;
use crate::CascadingCompressor;
use crate::CompressorContext;
use crate::Scheme;
use crate::SchemeExt;
use crate::schemes::integer::IntDictScheme;
use crate::schemes::integer::SparseScheme as IntSparseScheme;
#[derive(Debug, Copy, Clone, PartialEq, Eq)]
pub struct NullDominatedSparseScheme;
impl Scheme for NullDominatedSparseScheme {
fn scheme_name(&self) -> &'static str {
"vortex.string.sparse"
}
fn matches(&self, canonical: &Canonical) -> bool {
canonical.dtype().is_utf8()
}
fn num_children(&self) -> usize {
1
}
fn descendant_exclusions(&self) -> Vec<DescendantExclusion> {
vec![
DescendantExclusion {
excluded: IntSparseScheme.id(),
children: ChildSelection::All,
},
DescendantExclusion {
excluded: IntDictScheme.id(),
children: ChildSelection::All,
},
]
}
fn expected_compression_ratio(
&self,
data: &ArrayAndStats,
_compress_ctx: CompressorContext,
exec_ctx: &mut ExecutionCtx,
) -> CompressionEstimate {
let len = data.array_len() as f64;
let stats = data.varbinview_stats(exec_ctx);
let value_count = stats.value_count();
if value_count == 0 {
return CompressionEstimate::Verdict(EstimateVerdict::Skip);
}
if stats.null_count() as f64 / len > 0.9 {
return CompressionEstimate::Verdict(EstimateVerdict::Ratio(len / value_count as f64));
}
CompressionEstimate::Verdict(EstimateVerdict::Skip)
}
fn compress(
&self,
compressor: &CascadingCompressor,
data: &ArrayAndStats,
compress_ctx: CompressorContext,
exec_ctx: &mut ExecutionCtx,
) -> VortexResult<ArrayRef> {
let sparse_encoded = Sparse::encode(data.array(), None, exec_ctx)?;
if let Some(sparse) = sparse_encoded.as_opt::<Sparse>() {
let indices = sparse
.patches()
.indices()
.clone()
.execute::<PrimitiveArray>(exec_ctx)?
.narrow(exec_ctx)?;
let compressed_indices = compressor.compress_child(
&indices.into_array(),
&compress_ctx,
self.id(),
0,
exec_ctx,
)?;
Sparse::try_new(
compressed_indices,
sparse.patches().values().clone(),
sparse.len(),
sparse.fill_scalar().clone(),
)
.map(|a| a.into_array())
} else {
Ok(sparse_encoded)
}
}
}