Adjust visibility of crate private members & Functions

src/catalog.rs

@@ -30,18 +30,18 @@ use datafusion::{
 };
 
 #[pyclass(name = "Catalog", module = "datafusion", subclass)]
-pub(crate) struct PyCatalog {
-    catalog: Arc<dyn CatalogProvider>,
+pub struct PyCatalog {
+    pub catalog: Arc<dyn CatalogProvider>,
 }
 
 #[pyclass(name = "Database", module = "datafusion", subclass)]
-pub(crate) struct PyDatabase {
-    database: Arc<dyn SchemaProvider>,
+pub struct PyDatabase {
+    pub database: Arc<dyn SchemaProvider>,
 }
 
 #[pyclass(name = "Table", module = "datafusion", subclass)]
 pub struct PyTable {
-    table: Arc<dyn TableProvider>,
+    pub table: Arc<dyn TableProvider>,
 }
 
 impl PyCatalog {

src/common/df_field.rs

@@ -27,7 +27,7 @@ use super::data_type::PyDataType;
 #[pyclass(name = "DFField", module = "datafusion.common", subclass)]
 #[derive(Debug, Clone)]
 pub struct PyDFField {
-    field: DFField,
+    pub field: DFField,
 }
 
 impl From<PyDFField> for DFField {

src/context.rs

@@ -60,8 +60,8 @@
 /// Configuration options for a SessionContext
 #[pyclass(name = "SessionConfig", module = "datafusion", subclass)]
 #[derive(Clone, Default)]
-pub(crate) struct PySessionConfig {
-    pub(crate) config: SessionConfig,
+pub struct PySessionConfig {
+    pub config: SessionConfig,
 }
 
 impl From<SessionConfig> for PySessionConfig {
@@ -153,8 +153,8 @@
 /// Runtime options for a SessionContext
 #[pyclass(name = "RuntimeConfig", module = "datafusion", subclass)]
 #[derive(Clone)]
-pub(crate) struct PyRuntimeConfig {
-    pub(crate) config: RuntimeConfig,
+pub struct PyRuntimeConfig {
+    pub config: RuntimeConfig,
 }
 
 #[pymethods]
@@ -215,15 +215,18 @@
 /// multi-threaded execution engine to perform the execution.
 #[pyclass(name = "SessionContext", module = "datafusion", subclass)]
 #[derive(Clone)]
-pub(crate) struct PySessionContext {
-    pub(crate) ctx: SessionContext,
+pub struct PySessionContext {
+    pub ctx: SessionContext,
 }
 
 #[pymethods]
 impl PySessionContext {
     #[pyo3(signature = (config=None, runtime=None))]
     #[new]
-    fn new(config: Option<PySessionConfig>, runtime: Option<PyRuntimeConfig>) -> PyResult<Self> {
+    pub fn new(
+        config: Option<PySessionConfig>,
+        runtime: Option<PyRuntimeConfig>,
+    ) -> PyResult<Self> {
         let config = if let Some(c) = config {
             c.config
         } else {
@@ -242,7 +245,7 @@
     }
 
     /// Register a an object store with the given name
-    fn register_object_store(
+    pub fn register_object_store(
         &mut self,
         scheme: &str,
         store: &PyAny,
@@ -276,13 +279,13 @@
     }
 
     /// Returns a PyDataFrame whose plan corresponds to the SQL statement.
-    fn sql(&mut self, query: &str, py: Python) -> PyResult<PyDataFrame> {
+    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)?;
         Ok(PyDataFrame::new(df))
     }
 
-    fn create_dataframe(
+    pub fn create_dataframe(
         &mut self,
         partitions: PyArrowType<Vec<Vec<RecordBatch>>>,
         name: Option<&str>,
@@ -314,13 +317,13 @@
     }
 
     /// Create a DataFrame from an existing logical plan
-    fn create_dataframe_from_logical_plan(&mut self, plan: PyLogicalPlan) -> PyDataFrame {
+    pub fn create_dataframe_from_logical_plan(&mut self, plan: PyLogicalPlan) -> PyDataFrame {
         PyDataFrame::new(DataFrame::new(self.ctx.state(), plan.plan.as_ref().clone()))
     }
 
     /// Construct datafusion dataframe from Python list
     #[allow(clippy::wrong_self_convention)]
-    fn from_pylist(
+    pub fn from_pylist(
         &mut self,
         data: PyObject,
         name: Option<&str>,
@@ -340,7 +343,7 @@
 
     /// Construct datafusion dataframe from Python dictionary
     #[allow(clippy::wrong_self_convention)]
-    fn from_pydict(
+    pub fn from_pydict(
         &mut self,
         data: PyObject,
         name: Option<&str>,
@@ -360,7 +363,7 @@
 
     /// Construct datafusion dataframe from Arrow Table
     #[allow(clippy::wrong_self_convention)]
-    fn from_arrow_table(
+    pub fn from_arrow_table(
         &mut self,
         data: PyObject,
         name: Option<&str>,
@@ -381,7 +384,7 @@
 
     /// Construct datafusion dataframe from pandas
     #[allow(clippy::wrong_self_convention)]
-    fn from_pandas(
+    pub fn from_pandas(
         &mut self,
         data: PyObject,
         name: Option<&str>,
@@ -401,7 +404,7 @@
 
     /// Construct datafusion dataframe from polars
     #[allow(clippy::wrong_self_convention)]
-    fn from_polars(
+    pub fn from_polars(
         &mut self,
         data: PyObject,
         name: Option<&str>,
@@ -417,21 +420,21 @@
         })
     }
 
-    fn register_table(&mut self, name: &str, table: &PyTable) -> PyResult<()> {
+    pub fn register_table(&mut self, name: &str, table: &PyTable) -> PyResult<()> {
         self.ctx
             .register_table(name, table.table())
             .map_err(DataFusionError::from)?;
         Ok(())
     }
 
-    fn deregister_table(&mut self, name: &str) -> PyResult<()> {
+    pub fn deregister_table(&mut self, name: &str) -> PyResult<()> {
         self.ctx
             .deregister_table(name)
             .map_err(DataFusionError::from)?;
         Ok(())
     }
 
-    fn register_record_batches(
+    pub fn register_record_batches(
         &mut self,
         name: &str,
         partitions: PyArrowType<Vec<Vec<RecordBatch>>>,
@@ -451,7 +454,7 @@
                         skip_metadata=true,
                         schema=None,
                         file_sort_order=None))]
-    fn register_parquet(
+    pub fn register_parquet(
         &mut self,
         name: &str,
         path: &str,
@@ -489,7 +492,7 @@
                         schema_infer_max_records=1000,
                         file_extension=".csv",
                         file_compression_type=None))]
-    fn register_csv(
+    pub fn register_csv(
         &mut self,
         name: &str,
         path: PathBuf,
@@ -533,7 +536,7 @@
                         file_extension=".json",
                         table_partition_cols=vec![],
                         file_compression_type=None))]
-    fn register_json(
+    pub fn register_json(
         &mut self,
         name: &str,
         path: PathBuf,
@@ -568,7 +571,7 @@
                         file_extension=".avro",
                         table_partition_cols=vec![],
                         infinite=false))]
-    fn register_avro(
+    pub fn register_avro(
         &mut self,
         name: &str,
         path: PathBuf,
@@ -595,7 +598,7 @@
     }
 
     // Registers a PyArrow.Dataset
-    fn register_dataset(&self, name: &str, dataset: &PyAny, py: Python) -> PyResult<()> {
+    pub fn register_dataset(&self, name: &str, dataset: &PyAny, py: Python) -> PyResult<()> {
         let table: Arc<dyn TableProvider> = Arc::new(Dataset::new(dataset, py)?);
 
         self.ctx
@@ -605,18 +608,18 @@
         Ok(())
     }
 
-    fn register_udf(&mut self, udf: PyScalarUDF) -> PyResult<()> {
+    pub fn register_udf(&mut self, udf: PyScalarUDF) -> PyResult<()> {
         self.ctx.register_udf(udf.function);
         Ok(())
     }
 
-    fn register_udaf(&mut self, udaf: PyAggregateUDF) -> PyResult<()> {
+    pub fn register_udaf(&mut self, udaf: PyAggregateUDF) -> PyResult<()> {
         self.ctx.register_udaf(udaf.function);
         Ok(())
     }
 
     #[pyo3(signature = (name="datafusion"))]
-    fn catalog(&self, name: &str) -> PyResult<PyCatalog> {
+    pub fn catalog(&self, name: &str) -> PyResult<PyCatalog> {
         match self.ctx.catalog(name) {
             Some(catalog) => Ok(PyCatalog::new(catalog)),
             None => Err(PyKeyError::new_err(format!(
@@ -626,31 +629,31 @@
         }
     }
 
-    fn tables(&self) -> HashSet<String> {
+    pub fn tables(&self) -> HashSet<String> {
         #[allow(deprecated)]
         self.ctx.tables().unwrap()
     }
 
-    fn table(&self, name: &str, py: Python) -> PyResult<PyDataFrame> {
+    pub fn table(&self, name: &str, py: Python) -> PyResult<PyDataFrame> {
         let x = wait_for_future(py, self.ctx.table(name)).map_err(DataFusionError::from)?;
         Ok(PyDataFrame::new(x))
     }
 
-    fn table_exist(&self, name: &str) -> PyResult<bool> {
+    pub fn table_exist(&self, name: &str) -> PyResult<bool> {
         Ok(self.ctx.table_exist(name)?)
     }
 
-    fn empty_table(&self) -> PyResult<PyDataFrame> {
+    pub fn empty_table(&self) -> PyResult<PyDataFrame> {
         Ok(PyDataFrame::new(self.ctx.read_empty()?))
     }
 
-    fn session_id(&self) -> String {
+    pub fn session_id(&self) -> String {
         self.ctx.session_id()
     }
 
     #[allow(clippy::too_many_arguments)]
     #[pyo3(signature = (path, schema=None, schema_infer_max_records=1000, file_extension=".json", table_partition_cols=vec![], file_compression_type=None))]
-    fn read_json(
+    pub fn read_json(
         &mut self,
         path: PathBuf,
         schema: Option<PyArrowType<Schema>>,
@@ -689,7 +692,7 @@
         file_extension=".csv",
         table_partition_cols=vec![],
         file_compression_type=None))]
-    fn read_csv(
+    pub fn read_csv(
         &self,
         path: PathBuf,
         schema: Option<PyArrowType<Schema>>,
@@ -741,7 +744,7 @@
         skip_metadata=true,
         schema=None,
         file_sort_order=None))]
-    fn read_parquet(
+    pub fn read_parquet(
         &self,
         path: &str,
         table_partition_cols: Vec<(String, String)>,
@@ -771,7 +774,7 @@
 
     #[allow(clippy::too_many_arguments)]
     #[pyo3(signature = (path, schema=None, table_partition_cols=vec![], file_extension=".avro"))]
-    fn read_avro(
+    pub fn read_avro(
         &self,
         path: &str,
         schema: Option<PyArrowType<Schema>>,
@@ -793,7 +796,7 @@
         Ok(PyDataFrame::new(df))
     }
 
-    fn read_table(&self, table: &PyTable) -> PyResult<PyDataFrame> {
+    pub fn read_table(&self, table: &PyTable) -> PyResult<PyDataFrame> {
         let df = self
             .ctx
             .read_table(table.table())

src/expr.rs

@@ -128,6 +128,7 @@ impl PyExpr {
             Expr::ScalarVariable(data_type, variables) => {
                 Ok(PyScalarVariable::new(data_type, variables).into_py(py))
             }
+            Expr::Like(value) => Ok(PyLike::from(value.clone()).into_py(py)),
             Expr::Literal(value) => Ok(PyLiteral::from(value.clone()).into_py(py)),
             Expr::BinaryExpr(expr) => Ok(PyBinaryExpr::from(expr.clone()).into_py(py)),
             Expr::Not(expr) => Ok(PyNot::new(*expr.clone()).into_py(py)),

src/lib.rs

@@ -35,7 +35,7 @@ pub mod common;
 #[allow(clippy::borrow_deref_ref)]
 mod config;
 #[allow(clippy::borrow_deref_ref)]
-mod context;
+pub mod context;
 #[allow(clippy::borrow_deref_ref)]
 mod dataframe;
 mod dataset;

src/substrait.rs

@@ -29,8 +29,8 @@ use prost::Message;
 
 #[pyclass(name = "plan", module = "datafusion.substrait", subclass)]
 #[derive(Debug, Clone)]
-pub(crate) struct PyPlan {
-    pub(crate) plan: Plan,
+pub struct PyPlan {
+    pub plan: Plan,
 }
 
 #[pymethods]
@@ -61,7 +61,7 @@ impl From<Plan> for PyPlan {
 /// to a valid `LogicalPlan` instance.
 #[pyclass(name = "serde", module = "datafusion.substrait", subclass)]
 #[derive(Debug, Clone)]
-pub(crate) struct PySubstraitSerializer;
+pub struct PySubstraitSerializer;
 
 #[pymethods]
 impl PySubstraitSerializer {
@@ -107,7 +107,7 @@ impl PySubstraitSerializer {
 
 #[pyclass(name = "producer", module = "datafusion.substrait", subclass)]
 #[derive(Debug, Clone)]
-pub(crate) struct PySubstraitProducer;
+pub struct PySubstraitProducer;
 
 #[pymethods]
 impl PySubstraitProducer {
@@ -123,7 +123,7 @@ impl PySubstraitProducer {
 
 #[pyclass(name = "consumer", module = "datafusion.substrait", subclass)]
 #[derive(Debug, Clone)]
-pub(crate) struct PySubstraitConsumer;
+pub struct PySubstraitConsumer;
 
 #[pymethods]
 impl PySubstraitConsumer {
@@ -140,7 +140,7 @@ impl PySubstraitConsumer {
     }
 }
 
-pub(crate) fn init_module(m: &PyModule) -> PyResult<()> {
+pub fn init_module(m: &PyModule) -> PyResult<()> {
     m.add_class::<PyPlan>()?;
     m.add_class::<PySubstraitConsumer>()?;
     m.add_class::<PySubstraitProducer>()?;