8000 Upgrade Datafusion to v37.1.0 (#669) · datapythonista/datafusion-python@ee93cdd · GitHub
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Michael-J-WardMichael-J-Ward
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Upgrade Datafusion to v37.1.0 (apache#669)
* deps: upgrade datafusion to 37.1.0 * feat: re-implement SessionContext::tables The method was removed upstream but is used in many tests for `datafusion-python`. Ref: apache/datafusion#9627 * feat: upgrade dataframe write_parquet and write_json The options to write_parquet changed. write_json has a new argument that I defaulted to None. We can expose that config later. Ref: apache/datafusion#9382 * feat: impl new ExecutionPlanProperties for DatasetExec Ref: apache/datafusion#9346 * feat: add upstream variant and method params - `WindowFunction` and `AggregateFunction` have `null_treatment` options. - `ScalarValue` and `DataType` have new variants - `SchemaProvider::table` now returns a `Result` * lint: allow(deprecated) for make_scalar_function * feat: migrate functions.rs `datafusion` completed an Epic that ported many of the `BuiltInFunctions` enum to `SclarUDF`. I created new macros to simplify the port, and used these macros to refactor a few existing functions. Ref: apache/datafusion#9285 * fixme: commented out last failing test This is a bug upstream in datafusion FAILED datafusion/tests/test_functions.py::test_array_functions - pyo3_runtime.PanicException: range end index 9 out of range for slice of length 8 * chore: update Cargo.toml package info
1 parent 67d4cfb commit ee93cdd

13 files changed

+545
-325
lines changed

‎Cargo.lock

Lines changed: 195 additions & 130 deletions
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‎Cargo.toml

Lines changed: 11 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -17,10 +17,10 @@
1717

1818
[package]
1919
name = "datafusion-python"
20-
version = "36.0.0"
21-
homepage = "https://github.com/apache/arrow-datafusion-python"
22-
repository = "https://github.com/apache/arrow-datafusion-python"
23-
authors = ["Apache Arrow <dev@arrow.apache.org>"]
20+
version = "37.1.0"
21+
homepage = "https://datafusion.apache.org/python"
22+
repository = "https://github.com/apache/datafusion-python"
23+
authors = ["Apache DataFusion <dev@datafusion.apache.org>"]
2424
description = "Apache Arrow DataFusion DataFrame and SQL Query Engine"
2525
readme = "README.md"
2626
license = "Apache-2.0"
@@ -37,13 +37,13 @@ substrait = ["dep:datafusion-substrait"]
3737
tokio = { version = "1.35", features = ["macros", "rt", "rt-multi-thread", "sync"] }
3838
rand = "0.8"
3939
pyo3 = { version = "0.20", features = ["extension-module", "abi3", "abi3-py38"] }
40-
datafusion = { version = "36.0.0", features = ["pyarrow", "avro"] }
41-
datafusion-common = { version = "36.0.0", features = ["pyarrow"] }
42-
datafusion-expr = "36.0.0"
43-
datafusion-functions-array = "36.0.0"
44-
datafusion-optimizer = "36.0.0"
45-
datafusion-sql = "36.0.0"
46-
datafusion-substrait = { version = "36.0.0", optional = true }
40+
datafusion = { version = "37.1.0", features = ["pyarrow", "avro", "unicode_expressions"] }
41+
datafusion-common = { version = "37.1.0", features = ["pyarrow"] }
42+
datafusion-expr = "37.1.0"
43+
datafusion-functions-array = "37.1.0"
44+
datafusion-optimizer = "37.1.0"
45+
datafusion-sql = "37.1.0"
46+
datafusion-substrait = { version = "37.1.0", optional = true }
4747
prost = "0.12"
4848
prost-types = "0.12"
4949
uuid = { version = "1.8", features = ["v4"] }

‎datafusion/tests/test_functions.py

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -428,10 +428,10 @@ def py_flatten(arr):
428428
f.array_slice(col, literal(2), literal(4)),
429429
lambda: [arr[1:4] for arr in data],
430430
],
431-
[
432-
f.list_slice(col, literal(-1), literal(2)),
433-
lambda: [arr[-1:2] for arr in data],
434-
],
431+
# [
432+
# f.list_slice(col, literal(-1), literal(2)),
433+
# lambda: [arr[-1:2] for arr in data],
434+
# ],
435435
[
436436
f.array_intersect(col, literal([3.0, 4.0])),
437437
lambda: [np.intersect1d(arr, [3.0, 4.0]) for arr in data],

‎src/catalog.rs

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -97,7 +97,7 @@ impl PyDatabase {
9797
}
9898

9999
fn table(&self, name: &str, py: Python) -> PyResult<PyTable> {
100-
if let Some(table) = wait_for_future(py, self.database.table(name)) {
100+
if let Some(table) = wait_for_future(py, self.database.table(name))? {
101101
Ok(PyTable::new(table))
102102
} else {
103103
Err(DataFusionError::Common(format!("Table not found: {name}")).into())

‎src/common/data_type.rs

Lines changed: 20 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -226,6 +226,19 @@ impl DataTypeMap {
226226
DataType::RunEndEncoded(_, _) => Err(py_datafusion_err(
227227
DataFusionError::NotImplemented(format!("{:?}", arrow_type)),
228228
)),
229+
DataType::BinaryView => Err(py_datafusion_err(DataFusionError::NotImplemented(
230+
format!("{:?}", arrow_type),
231+
))),
232+
DataType::Utf8View => Err(py_datafusion_err(DataFusionError::NotImplemented(format!(
233+
"{:?}",
234+
arrow_type
235+
)))),
236+
DataType::ListView(_) => Err(py_datafusion_err(DataFusionError::NotImplemented(
237+
format!("{:?}", arrow_type),
238+
))),
239+
DataType::LargeListView(_) => Err(py_datafusion_err(DataFusionError::NotImplemented(
240+
format!("{:?}", arrow_type),
241+
))),
229242
}
230243
}
231244

@@ -309,6 +322,9 @@ impl DataTypeMap {
309322
ScalarValue::DurationMillisecond(_) => Ok(DataType::Duration(TimeUnit::Millisecond)),
310323
ScalarValue::DurationMicrosecond(_) => Ok(DataType::Duration(TimeUnit::Microsecond)),
311324
ScalarValue::DurationNanosecond(_) => Ok(DataType::Duration(TimeUnit::Nanosecond)),
325+
ScalarValue::Union(_, _, _) => Err(py_datafusion_err(DataFusionError::NotImplemented(
326+
"ScalarValue::LargeList".to_string(),
327+
))),
312328
}
313329
}
314330
}
@@ -598,6 +614,10 @@ impl DataTypeMap {
598614
DataType::Decimal256(_, _) => "Decimal256",
599615
DataType::Map(_, _) => "Map",
600616
DataType::RunEndEncoded(_, _) => "RunEndEncoded",
617+
DataType::BinaryView => "BinaryView",
618+
DataType::Utf8View => "Utf8View",
619+
DataType::ListView(_) => "ListView",
620+
DataType::LargeListView(_) => "LargeListView",
601621
})
602622
}
603623
}

‎src/context.rs

Lines changed: 12 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -742,8 +742,18 @@ impl PySessionContext {
742742
}
743743

744744
pub fn tables(&self) -> HashSet<String> {
745-
#[allow(deprecated)]
746-
self.ctx.tables().unwrap()
745+
self.ctx
746+
.catalog_names()
747+
.into_iter()
748+
.filter_map(|name| self.ctx.catalog(&name))
749+
.flat_map(move |catalog| {
750+
catalog
751+
.schema_names()
752+
.into_iter()
753+
.filter_map(move |name| catalog.schema(&name))
754+
})
755+
.flat_map(|schema| schema.table_names())
756+
.collect()
747757
}
748758

749759
pub fn table(&self, name: &str, py: Python) -> PyResult<PyDataFrame> {

‎src/dataframe.rs

Lines changed: 11 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -20,10 +20,10 @@ use std::sync::Arc;
2020
use datafusion::arrow::datatypes::Schema;
2121
use datafusion::arrow::pyarrow::{PyArrowType, ToPyArrow};
2222
use datafusion::arrow::util::pretty;
23+
use datafusion::config::TableParquetOptions;
2324
use datafusion::dataframe::{DataFrame, DataFrameWriteOptions};
2425
use datafusion::execution::SendableRecordBatchStream;
2526
use datafusion::parquet::basic::{BrotliLevel, Compression, GzipLevel, ZstdLevel};
26-
use datafusion::parquet::file::properties::WriterProperties;
2727
use datafusion::prelude::*;
2828
use datafusion_common::UnnestOptions;
2929
use pyo3::exceptions::{PyTypeError, PyValueError};
@@ -350,7 +350,7 @@ impl PyDataFrame {
350350
cl.ok_or(PyValueError::new_err("compression_level is not defined"))
351351
}
352352

353-
let compression_type = match compression.to_lowercase().as_str() {
353+
let _validated = match compression.to_lowercase().as_str() {
354354
"snappy" => Compression::SNAPPY,
355355
"gzip" => Compression::GZIP(
356356
GzipLevel::try_new(compression_level.unwrap_or(6))
@@ -375,16 +375,20 @@ impl PyDataFrame {
375375
}
376376
};
377377

378-
let writer_properties = WriterProperties::builder()
379-
.set_compression(compression_type)
380-
.build();
378+
let mut compression_string = compression.to_string();
379+
if let Some(level) = compression_level {
380+
compression_string.push_str(&format!("({level})"));
381+
}
382+
383+
let mut options = TableParquetOptions::default();
384+
options.global.compression = Some(compression_string);
381385

382386
wait_for_future(
383387
py,
384388
self.df.as_ref().clone().write_parquet(
385389
path,
386390
DataFrameWriteOptions::new(),
387-
Option::from(writer_properties),
391+
Option::from(options),
388392
),
389393
)?;
390394
Ok(())
@@ -397,7 +401,7 @@ impl PyDataFrame {
397401
self.df
398402
.as_ref()
399403
.clone()
400-
.write_json(path, DataFrameWriteOptions::new()),
404+
.write_json(path, DataFrameWriteOptions::new(), None),
401405
)?;
402406
Ok(())
403407
}

‎src/dataset_exec.rs

Lines changed: 34 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -32,11 +32,11 @@ use datafusion::arrow::pyarrow::PyArrowType;
3232
use datafusion::arrow::record_batch::RecordBatch;
3333
use datafusion::error::{DataFusionError as InnerDataFusionError, Result as DFResult};
3434
use datafusion::execution::context::TaskContext;
35-
use datafusion::physical_expr::PhysicalSortExpr;
35+
use datafusion::physical_expr::{EquivalenceProperties, PhysicalSortExpr};
3636
use datafusion::physical_plan::stream::RecordBatchStreamAdapter;
3737
use datafusion::physical_plan::{
38-
DisplayAs, DisplayFormatType, ExecutionPlan, Partitioning, SendableRecordBatchStream,
39-
Statistics,
38+
DisplayAs, DisplayFormatType, ExecutionMode, ExecutionPlan, ExecutionPlanProperties,
39+
Partitioning, SendableRecordBatchStream, Statistics,
4040
};
4141
use datafusion_expr::utils::conjunction;
4242
use datafusion_expr::Expr;
@@ -73,6 +73,7 @@ pub(crate) struct DatasetExec {
7373
columns: Option<Vec<String>>,
7474
filter_expr: Option<PyObject>,
7575
projected_statistics: Statistics,
76+
plan_properties: datafusion::physical_plan::PlanProperties,
7677
}
7778

7879
impl DatasetExec {
@@ -134,13 +135,20 @@ impl DatasetExec {
134135
.map_err(PyErr::from)?;
135136

136137
let projected_statistics = Statistics::new_unknown(&schema);
138+
let plan_properties = datafusion::physical_plan::PlanProperties::new(
139+
EquivalenceProperties::new(schema.clone()),
140+
Partitioning::UnknownPartitioning(fragments.len()),
141+
ExecutionMode::Bounded,
142+
);
143+
137144
Ok(DatasetExec {
138145
dataset: dataset.into(),
139146
schema,
140147
fragments: fragments.into(),
141148
columns,
142149
filter_expr,
143150
projected_statistics,
151+
plan_properties,
144152
})
145153
}
146154
}
@@ -156,18 +164,6 @@ impl ExecutionPlan for DatasetExec {
156164
self.schema.clone()
157165
}
158166

159-
/// Get the output partitioning of this plan
160-
fn output_partitioning(&self) -> Partitioning {
161-
Python::with_gil(|py| {
162-
let fragments = self.fragments.as_ref(py);
163-
Partitioning::UnknownPartitioning(fragments.len())
164-
})
165-
}
166-
167-
fn output_ordering(&self) -> Option<&[PhysicalSortExpr]> {
168-
None
169-
}
170-
171167
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
172168
// this is a leaf node and has no children
173169
vec![]
@@ -240,6 +236,29 @@ impl ExecutionPlan for DatasetExec {
240236
fn statistics(&self) -> DFResult<Statistics> {
241237
Ok(self.projected_statistics.clone())
242238
}
239+
240+
fn properties(&self) -> &datafusion::physical_plan::PlanProperties {
241+
&self.plan_properties
242+
}
243+
}
244+
245+
impl ExecutionPlanProperties for DatasetExec {
246+
/// Get the output partitioning of this plan
247+
fn output_partitioning(&self) -> &Partitioning {
248+
self.plan_properties.output_partitioning()
249+
}
250+
251+
fn output_ordering(&self) -> Option<&[PhysicalSortExpr]> {
252+
None
253+
}
254+
255+
fn execution_mode(&self) -> datafusion::physical_plan::ExecutionMode {
256+
self.plan_properties.execution_mode
257+
}
258+
259+
fn equivalence_properties(&self) -> &datafusion::physical_expr::EquivalenceProperties {
260+
&self.plan_properties.eq_properties
261+
}
243262
}
244263

245264
impl DisplayAs for DatasetExec {

‎src/expr.rs

Lines changed: 5 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -382,6 +382,11 @@ impl PyExpr {
382382
"ScalarValue::LargeList".to_string(),
383383
),
384384
)),
385+
ScalarValue::Union(_, _, _) => Err(py_datafusion_err(
386+
datafusion_common::DataFusionError::NotImplemented(
387+
"ScalarValue::Union".to_string(),
388+
),
389+
)),
385390
},
386391
_ => Err(py_type_err(format!(
387392
"Non Expr::Literal encountered in types: {:?}",

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