Remove pyarrow dep from datafusion. Add in PyScalarValue wrapper and …

…rename DataFusionError to PyDataFusionError to be less confusing

Cargo.toml

@@ -38,7 +38,7 @@ tokio = { version = "1.41", features = ["macros", "rt", "rt-multi-thread", "sync
 pyo3 = { version = "0.22", features = ["extension-module", "abi3", "abi3-py38"] }
 pyo3-async-runtimes = { version = "0.22", features = ["tokio-runtime"]}
 arrow = { version = "53", features = ["pyarrow"] }
-datafusion = { version = "44.0.0", features = ["pyarrow", "avro", "unicode_expressions"] }
+datafusion = { version = "44.0.0", features = ["avro", "unicode_expressions"] }
 datafusion-substrait = { version = "44.0.0", optional = true }
 datafusion-proto = { version = "44.0.0" }
 datafusion-ffi = { version = "44.0.0" }

python/tests/test_indexing.py

@@ -44,7 +44,8 @@ def test_err(df):
     with pytest.raises(Exception) as e_info:
         df["c"]
 
-    assert "Schema error: No field named c." in e_info.value.args[0]
+    for e in ["SchemaError", "FieldNotFound", 'name: "c"']:
+        assert e in e_info.value.args[0]
 
     with pytest.raises(Exception) as e_info:
         df[1]

src/catalog.rs

@@ -21,7 +21,7 @@ use std::sync::Arc;
 use pyo3::exceptions::PyKeyError;
 use pyo3::prelude::*;
 
-use crate::errors::DataFusionError;
+use crate::errors::PyDataFusionError;
 use crate::utils::wait_for_future;
 use datafusion::{
     arrow::pyarrow::ToPyArrow,
@@ -97,10 +97,12 @@ impl PyDatabase {
     }
 
     fn table(&self, name: &str, py: Python) -> PyResult<PyTable> {
-        if let Some(table) = wait_for_future(py, self.database.table(name))? {
+        if let Some(table) =
+            wait_for_future(py, self.database.table(name)).map_err(PyDataFusionError::from)?
+        {
             Ok(PyTable::new(table))
         } else {
-            Err(DataFusionError::Common(format!("Table not found: {name}")).into())
+            Err(PyDataFusionError::Common(format!("Table not found: {name}")).into())
         }
     }
 

src/common/data_type.rs

@@ -23,6 +23,20 @@ use pyo3::{exceptions::PyValueError, prelude::*};
 
 use crate::errors::py_datafusion_err;
 
+#[derive(Debug, Clone, PartialEq, Eq, Hash, PartialOrd)]
+pub struct PyScalarValue(pub ScalarValue);
+
+impl From<ScalarValue> for PyScalarValue {
+    fn from(value: ScalarValue) -> Self {
+        Self(value)
+    }
+}
+impl From<PyScalarValue> for ScalarValue {
+    fn from(value: PyScalarValue) -> Self {
+        value.0
+    }
+}
+
 #[derive(Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Ord)]
 #[pyclass(eq, eq_int, name = "RexType", module = "datafusion.common")]
 pub enum RexType {

src/config.rs

@@ -21,6 +21,8 @@ use pyo3::types::*;
 use datafusion::common::ScalarValue;
 use datafusion::config::ConfigOptions;
 
+use crate::errors::PyDataFusionError;
+
 #[pyclass(name = "Config", module = "datafusion", subclass)]
 #[derive(Clone)]
 pub(crate) struct PyConfig {
@@ -40,7 +42,7 @@ impl PyConfig {
     #[staticmethod]
     pub fn from_env() -> PyResult<Self> {
         Ok(Self {
-            config: ConfigOptions::from_env()?,
+            config: ConfigOptions::from_env().map_err(PyDataFusionError::from)?,
         })
     }
 
@@ -60,7 +62,8 @@ impl PyConfig {
         let scalar_value = py_obj_to_scalar_value(py, value);
         self.config
             .set(key, scalar_value.to_string().as_str())
-            .map_err(|e| e.into())
+            .map_err(PyDataFusionError::from)
+            .map_err(PyErr::from)
     }
 
     /// Get all configuration options

src/context.rs

@@ -34,7 +34,7 @@ use pyo3::prelude::*;
 use crate::catalog::{PyCatalog, PyTable};
 use crate::dataframe::PyDataFrame;
 use crate::dataset::Dataset;
-use crate::errors::{py_datafusion_err, DataFusionError};
+use crate::errors::{py_datafusion_err, PyDataFusionError};
 use crate::expr::sort_expr::PySortExpr;
 use crate::physical_plan::PyExecutionPlan;
 use crate::record_batch::PyRecordBatchStream;
@@ -288,7 +288,11 @@ impl PySessionContext {
         } else {
             RuntimeEnvBuilder::default()
         };
-        let runtime = Arc::new(runtime_env_builder.build()?);
+        let runtime = Arc::new(
+            runtime_env_builder
+                .build()
+                .map_err(PyDataFusionError::from)?,
+        );
         let session_state = SessionStateBuilder::new()
             .with_config(config)
             .with_runtime_env(runtime)
@@ -359,19 +363,19 @@ impl PySessionContext {
                     .map(|e| e.into_iter().map(|f| f.into()).collect())
                     .collect(),
             );
-        let table_path = ListingTableUrl::parse(path)?;
+        let table_path = ListingTableUrl::parse(path).map_err(PyDataFusionError::from)?;
         let resolved_schema: SchemaRef = match schema {
             Some(s) => Arc::new(s.0),
             None => {
                 let state = self.ctx.state();
                 let schema = options.infer_schema(&state, &table_path);
-                wait_for_future(py, schema).map_err(DataFusionError::from)?
+                wait_for_future(py, schema).map_err(PyDataFusionError::from)?
             }
         };
         let config = ListingTableConfig::new(table_path)
             .with_listing_options(options)
             .with_schema(resolved_schema);
-        let table = ListingTable::try_new(config)?;
+        let table = ListingTable::try_new(config).map_err(PyDataFusionError::from)?;
         self.register_table(
             name,
             &PyTable {
@@ -384,7 +388,7 @@ impl PySessionContext {
     /// Returns a PyDataFrame whose plan corresponds to the SQL statement.
     pub fn sql(&mut self, query: &str, py: Python) -> PyResult<PyDataFrame> {
         let result = self.ctx.sql(query);
-        let df = wait_for_future(py, result).map_err(DataFusionError::from)?;
+        let df = wait_for_future(py, result).map_err(PyDataFusionError::from)?;
         Ok(PyDataFrame::new(df))
     }
 
@@ -401,7 +405,7 @@ impl PySessionContext {
             SQLOptions::new()
         };
         let result = self.ctx.sql_with_options(query, options);
-        let df = wait_for_future(py, result).map_err(DataFusionError::from)?;
+        let df = wait_for_future(py, result).map_err(PyDataFusionError::from)?;
         Ok(PyDataFrame::new(df))
     }
 
@@ -419,7 +423,7 @@ impl PySessionContext {
             partitions.0[0][0].schema()
         };
 
-        let table = MemTable::try_new(schema, partitions.0).map_err(DataFusionError::from)?;
+        let table = MemTable::try_new(schema, partitions.0).map_err(PyDataFusionError::from)?;
 
         // generate a random (unique) name for this table if none is provided
         // table name cannot start with numeric digit
@@ -435,9 +439,10 @@ impl PySessionContext {
 
         self.ctx
             .register_table(&*table_name, Arc::new(table))
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
 
-        let table = wait_for_future(py, self._table(&table_name)).map_err(DataFusionError::from)?;
+        let table =
+            wait_for_future(py, self._table(&table_name)).map_err(PyDataFusionError::from)?;
 
         let df = PyDataFrame::new(table);
         Ok(df)
@@ -503,7 +508,7 @@ impl PySessionContext {
                 let schema = stream_reader.schema().as_ref().to_owned();
                 let batches = stream_reader
                     .collect::<Result<Vec<RecordBatch>, arrow::error::ArrowError>>()
-                    .map_err(DataFusionError::from)?;
+                    .map_err(PyDataFusionError::from)?;
 
                 (schema, batches)
             } else if let Ok(array) = RecordBatch::from_pyarrow_bound(&data) {
@@ -562,14 +567,14 @@ impl PySessionContext {
     pub fn register_table(&mut self, name: &str, table: &PyTable) -> PyResult<()> {
         self.ctx
             .register_table(name, table.table())
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
         Ok(())
     }
 
     pub fn deregister_table(&mut self, name: &str) -> PyResult<()> {
         self.ctx
             .deregister_table(name)
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
         Ok(())
     }
 
@@ -587,7 +592,10 @@ impl PySessionContext {
             let provider = unsafe { capsule.reference::<FFI_TableProvider>() };
             let provider: ForeignTableProvider = provider.into();
 
-            let _ = self.ctx.register_table(name, Arc::new(provider))?;
+            let _ = self
+                .ctx
+                .register_table(name, Arc::new(provider))
+                .map_err(PyDataFusionError::from)?;
 
             Ok(())
         } else {
@@ -603,10 +611,10 @@ impl PySessionContext {
         partitions: PyArrowType<Vec<Vec<RecordBatch>>>,
     ) -> PyResult<()> {
         let schema = partitions.0[0][0].schema();
-        let table = MemTable::try_new(schema, partitions.0)?;
+        let table = MemTable::try_new(schema, partitions.0).map_err(PyDataFusionError::from)?;
         self.ctx
             .register_table(name, Arc::new(table))
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
         Ok(())
     }
 
@@ -642,7 +650,7 @@ impl PySessionContext {
             .collect();
 
         let result = self.ctx.register_parquet(name, path, options);
-        wait_for_future(py, result).map_err(DataFusionError::from)?;
+        wait_for_future(py, result).map_err(PyDataFusionError::from)?;
         Ok(())
     }
 
@@ -685,11 +693,11 @@ impl PySessionContext {
         if path.is_instance_of::<PyList>() {
             let paths = path.extract::<Vec<String>>()?;
             let result = self.register_csv_from_multiple_paths(name, paths, options);
-            wait_for_future(py, result).map_err(DataFusionError::from)?;
+            wait_for_future(py, result).map_err(PyDataFusionError::from)?;
         } else {
             let path = path.extract::<String>()?;
             let result = self.ctx.register_csv(name, &path, options);
-            wait_for_future(py, result).map_err(DataFusionError::from)?;
+            wait_for_future(py, result).map_err(PyDataFusionError::from)?;
         }
 
         Ok(())
@@ -726,7 +734,7 @@ impl PySessionContext {
         options.schema = schema.as_ref().map(|x| &x.0);
 
         let result = self.ctx.register_json(name, path, options);
-        wait_for_future(py, result).map_err(DataFusionError::from)?;
+        wait_for_future(py, result).map_err(PyDataFusionError::from)?;
 
         Ok(())
     }
@@ -756,7 +764,7 @@ impl PySessionContext {
         options.schema = schema.as_ref().map(|x| &x.0);
 
         let result = self.ctx.register_avro(name, path, options);
-        wait_for_future(py, result).map_err(DataFusionError::from)?;
+        wait_for_future(py, result).map_err(PyDataFusionError::from)?;
 
         Ok(())
     }
@@ -772,7 +780,7 @@ impl PySessionContext {
 
         self.ctx
             .register_table(name, table)
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
 
         Ok(())
     }
@@ -825,11 +833,16 @@ impl PySessionContext {
     }
 
     pub fn table_exist(&self, name: &str) -> PyResult<bool> {
-        Ok(self.ctx.table_exist(name)?)
+        Ok(self
+            .ctx
+            .table_exist(name)
+            .map_err(PyDataFusionError::from)?)
     }
 
     pub fn empty_table(&self) -> PyResult<PyDataFrame> {
-        Ok(PyDataFrame::new(self.ctx.read_empty()?))
+        Ok(PyDataFrame::new(
+            self.ctx.read_empty().map_err(PyDataFusionError::from)?,
+        ))
     }
 
     pub fn session_id(&self) -> String {
@@ -859,10 +872,10 @@ impl PySessionContext {
         let df = if let Some(schema) = schema {
             options.schema = Some(&schema.0);
             let result = self.ctx.read_json(path, options);
-            wait_for_future(py, result).map_err(DataFusionError::from)?
+            wait_for_future(py, result).map_err(PyDataFusionError::from)?
         } else {
             let result = self.ctx.read_json(path, options);
-            wait_for_future(py, result).map_err(DataFusionError::from)?
+            wait_for_future(py, result).map_err(PyDataFusionError::from)?
         };
         Ok(PyDataFrame::new(df))
     }
@@ -909,12 +922,14 @@ impl PySessionContext {
             let paths = path.extract::<Vec<String>>()?;
             let paths = paths.iter().map(|p| p as &str).collect::<Vec<&str>>();
             let result = self.ctx.read_csv(paths, options);
-            let df = PyDataFrame::new(wait_for_future(py, result).map_err(DataFusionError::from)?);
+            let df =
+                PyDataFrame::new(wait_for_future(py, result).map_err(PyDataFusionError::from)?);
             Ok(df)
         } else {
             let path = path.extract::<String>()?;
             let result = self.ctx.read_csv(path, options);
-            let df = PyDataFrame::new(wait_for_future(py, result).map_err(DataFusionError::from)?);
+            let df =
+                PyDataFrame::new(wait_for_future(py, result).map_err(PyDataFusionError::from)?);
             Ok(df)
         }
     }
@@ -952,7 +967,7 @@ impl PySessionContext {
             .collect();
 
         let result = self.ctx.read_parquet(path, options);
-        let df = PyDataFrame::new(wait_for_future(py, result).map_err(DataFusionError::from)?);
+        let df = PyDataFrame::new(wait_for_future(py, result).map_err(PyDataFusionError::from)?);
         Ok(df)
     }
 
@@ -972,10 +987,10 @@ impl PySessionContext {
         let df = if let Some(schema) = schema {
             options.schema = Some(&schema.0);
             let read_future = self.ctx.read_avro(path, options);
-            wait_for_future(py, read_future).map_err(DataFusionError::from)?
+            wait_for_future(py, read_future).map_err(PyDataFusionError::from)?
         } else {
             let read_future = self.ctx.read_avro(path, options);
-            wait_for_future(py, read_future).map_err(DataFusionError::from)?
+            wait_for_future(py, read_future).map_err(PyDataFusionError::from)?
         };
         Ok(PyDataFrame::new(df))
     }
@@ -984,7 +999,7 @@ impl PySessionContext {
         let df = self
             .ctx
             .read_table(table.table())
-            .map_err(DataFusionError::from)?;
+            .map_err(PyDataFusionError::from)?;
         Ok(PyDataFrame::new(df))
     }
 
@@ -1019,7 +1034,9 @@ impl PySessionContext {
         let fut: JoinHandle<datafusion::common::Result<SendableRecordBatchStream>> =
             rt.spawn(async move { plan.execute(part, Arc::new(ctx)) });
         let stream = wait_for_future(py, fut).map_err(py_datafusion_err)?;
-        Ok(PyRecordBatchStream::new(stream?))
+        Ok(PyRecordBatchStream::new(
+            stream.map_err(PyDataFusionError::from)?,
+        ))
     }
 }
 
@@ -1071,13 +1088,13 @@ impl PySessionContext {
 
 pub fn convert_table_partition_cols(
     table_partition_cols: Vec<(String, String)>,
-) -> Result<Vec<(String, DataType)>, DataFusionError> {
+) -> Result<Vec<(String, DataType)>, PyDataFusionError> {
     table_partition_cols
         .into_iter()
         .map(|(name, ty)| match ty.as_str() {
             "string" => Ok((name, DataType::Utf8)),
             "int" => Ok((name, DataType::Int32)),
-            _ => Err(DataFusionError::Common(format!(
+            _ => Err(PyDataFusionError::Common(format!(
                 "Unsupported data type '{ty}' for partition column. Supported types are 'string' and 'int'"
             ))),
         })