Datafusion invalid projection (#571)

* Condition for BinaryExpr, filter, input_ref, rexcall, and rexliteral * Updates for test_filter * more of test_filter.py working with the exception of some date pytests * Add workflow to keep datafusion dev branch up to date (#440) * Include setuptools-rust in conda build recipie, in host and run * Remove PyArrow dependency * rebase with datafusion-sql-planner * refactor changes that were inadvertent during rebase * timestamp with loglca time zone * Bump DataFusion version (#494) * bump DataFusion version * remove unnecessary downcasts and use separate structs for TableSource and TableProvider * Include RelDataType work * Include RelDataType work * Introduced SqlTypeName Enum in Rust and mappings for Python * impl PyExpr.getIndex() * add getRowType() for logical.rs * Introduce DaskTypeMap for storing correlating SqlTypeName and DataTypes * use str values instead of Rust Enums, Python is unable to Hash the Rust Enums if used in a dict * linter changes, why did that work on my local pre-commit?? * linter changes, why did that work on my local pre-commit?? * Convert final strs to SqlTypeName Enum * removed a few print statements * commit to share with colleague * updates * checkpoint * Temporarily disable conda run_test.py script since it uses features not yet implemented * formatting after upstream merge * expose fromString method for SqlTypeName to use Enums instead of strings for type checking * expanded SqlTypeName from_string() support * accept INT as INTEGER * tests update * checkpoint * checkpoint * Refactor PyExpr by removing From trait, and using recursion to expand expression list for rex calls * skip test that uses create statement for gpuci * Basic DataFusion Select Functionality (#489) * Condition for BinaryExpr, filter, input_ref, rexcall, and rexliteral * Updates for test_filter * more of test_filter.py working with the exception of some date pytests * Add workflow to keep datafusion dev branch up to date (#440) * Include setuptools-rust in conda build recipie, in host and run * Remove PyArrow dependency * rebase with datafusion-sql-planner * refactor changes that were inadvertent during rebase * timestamp with loglca time zone * Include RelDataType work * Include RelDataType work * Introduced SqlTypeName Enum in Rust and mappings for Python * impl PyExpr.getIndex() * add getRowType() for logical.rs * Introduce DaskTypeMap for storing correlating SqlTypeName and DataTypes * use str values instead of Rust Enums, Python is unable to Hash the Rust Enums if used in a dict * linter changes, why did that work on my local pre-commit?? * linter changes, why did that work on my local pre-commit?? * Convert final strs to SqlTypeName Enum * removed a few print statements * Temporarily disable conda run_test.py script since it uses features not yet implemented * expose fromString method for SqlTypeName to use Enums instead of strings for type checking * expanded SqlTypeName from_string() support * accept INT as INTEGER * Remove print statements * Default to UTC if tz is None * Delegate timezone handling to the arrow library * Updates from review Co-authored-by: Charles Blackmon-Luca <[email protected]> * updates for expression * uncommented pytests * uncommented pytests * code cleanup for review * code cleanup for review * Enabled more pytest that work now * Enabled more pytest that work now * Output Expression as String when BinaryExpr does not contain a named alias * Output Expression as String when BinaryExpr does not contain a named alias * Disable 2 pytest that are causing gpuCI issues. They will be address in a follow up PR * Handle Between operation for case-when * adjust timestamp casting * Refactor projection _column_name() logic to the _column_name logic in expression.rs * removed println! statements * introduce join getCondition() logic for retrieving the combining Rex logic for joining * Updates from review * Add Offset and point to repo with offset in datafusion * Introduce offset * limit updates * commit before upstream merge * Code formatting * update Cargo.toml to use Arrow-DataFusion version with LIMIT logic * Bump DataFusion version to get changes around variant_name() * Use map partitions for determining the offset * Merge with upstream * Rename underlying DataContainer's DataFrame instance to match the column container names * Adjust ColumnContainer mapping after join.py logic to entire the bakend mapping is reset * Add enumerate to column_{i} generation string to ensure columns exist in both dataframes * Adjust join schema logic to perform merge instead of join on rust side to avoid name collisions * Handle DataFusion COUNT(UInt8(1)) as COUNT(*) * commit before merge * Update function for gathering index of a expression * Update for review check * Adjust RelDataType to retrieve fully qualified column names * Adjust base.py to get fully qualified column name * Enable passing pytests in test_join.py * Adjust keys provided by getting backend column mapping name * Adjust output_col to not use the backend_column name for special reserved exprs * uncomment cross join pytest which works now * Uncomment passing pytests in test_select.py * Review updates * Add back complex join case condition, not just cross join but 'complex' joins * Enable DataFusion CBO logic * Disable EliminateFilter optimization rule * updates * Disable tests that hit CBO generated plan edge cases of yet to be implemented logic * [REVIEW] - Modifiy sql.skip_optimize to use dask_config.get and remove used method parameter * [REVIEW] - change name of configuration from skip_optimize to optimize * [REVIEW] - Add OptimizeException catch and raise statements back * Found issue where backend column names which are results of a single aggregate resulting column, COUNT(*) for example, need to get the first agg df column since names are not valid * Remove SQL from OptimizationException * skip tests that CBO plan reorganization causes missing features to be present * If TableScan contains projections use those instead of all of the TableColums for limiting columns read during table_scan * [REVIEW] remove compute(), remove temp row_type variable * [REVIEW] - Add test for projection pushdown * [REVIEW] - Add some more parametrized test combinations * [REVIEW] - Use iterator instead of for loop and simplify contains_projections * [REVIEW] - merge upstream and adjust imports * [REVIEW] - Rename pytest function and remove duplicate table creation Co-authored-by: Charles Blackmon-Luca <[email protected]> Co-authored-by: Andy Grove <[email protected]>
dask-contrib · Jun 14, 2022 · 230d726 · 230d726
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commit 230d726
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Showing 5 changed files with 93 additions and 7 deletions.
diff --git a/dask_planner/src/sql/logical.rs b/dask_planner/src/sql/logical.rs
@@ -9,8 +9,9 @@ mod filter;
 mod join;
 mod limit;
 mod offset;
-pub mod projection;
+mod projection;
 mod sort;
+mod table_scan;
 mod union;
 
 use datafusion_common::{Column, DFSchemaRef, DataFusionError, Result};
@@ -111,6 +112,11 @@ impl PyLogicalPlan {
         to_py_plan(self.current_node.as_ref())
     }
 
+    /// LogicalPlan::TableScan as PyTableScan
+    pub fn table_scan(&self) -> PyResult<table_scan::PyTableScan> {
+        to_py_plan(self.current_node.as_ref())
+    }
+
     /// Gets the "input" for the current LogicalPlan
     pub fn get_inputs(&mut self) -> PyResult<Vec<PyLogicalPlan>> {
         let mut py_inputs: Vec<PyLogicalPlan> = Vec::new();

diff --git a/dask_planner/src/sql/logical/table_scan.rs b/dask_planner/src/sql/logical/table_scan.rs
@@ -0,0 +1,45 @@
+use crate::sql::exceptions::py_type_err;
+use crate::sql::logical;
+use datafusion_expr::logical_plan::TableScan;
+use pyo3::prelude::*;
+
+#[pyclass(name = "TableScan", module = "dask_planner", subclass)]
+#[derive(Clone)]
+pub struct PyTableScan {
+    pub(crate) table_scan: TableScan,
+}
+
+#[pymethods]
+impl PyTableScan {
+    #[pyo3(name = "getTableScanProjects")]
+    fn scan_projects(&mut self) -> PyResult<Vec<String>> {
+        match &self.table_scan.projection {
+            Some(indices) => {
+                let schema = self.table_scan.source.schema();
+                Ok(indices
+                    .iter()
+                    .map(|i| schema.field(*i).name().to_string())
+                    .collect())
+            }
+            None => Ok(vec![]),
+        }
+    }
+
+    /// If the 'TableScan' contains columns that should be projected during the
+    /// read return True, otherwise return False
+    #[pyo3(name = "containsProjections")]
+    fn contains_projections(&self) -> bool {
+        self.table_scan.projection.is_some()
+    }
+}
+
+impl TryFrom<logical::LogicalPlan> for PyTableScan {
+    type Error = PyErr;
+
+    fn try_from(logical_plan: logical::LogicalPlan) -> Result<Self, Self::Error> {
+        match logical_plan {
+            logical::LogicalPlan::TableScan(table_scan) => Ok(PyTableScan { table_scan }),
+            _ => Err(py_type_err("unexpected plan")),
+        }
+    }
+}
diff --git a/dask_planner/src/sql/types/rel_data_type.rs b/dask_planner/src/sql/types/rel_data_type.rs
@@ -76,8 +76,7 @@ impl RelDataType {
         self.field_list.clone()
     }
 
-    /// Returns the names of the fields in a struct type. The field count
-    /// is equal to the size of the returned list.
+    /// Returns the names of all of the columns in a given DaskTable
     #[pyo3(name = "getFieldNames")]
     pub fn field_names(&self) -> Vec<String> {
         assert!(!self.field_list.is_empty());

diff --git a/dask_sql/physical/rel/logical/table_scan.py b/dask_sql/physical/rel/logical/table_scan.py
@@ -33,6 +33,9 @@ def convert(
         # There should not be any input. This is the first step.
         self.assert_inputs(rel, 0)
 
+        # Rust table_scan instance handle
+        table_scan = rel.table_scan()
+
         # The table(s) we need to return
         table = rel.getTable()
 
@@ -48,11 +51,15 @@ def convert(
         df = dc.df
         cc = dc.column_container
 
-        # Make sure we only return the requested columns
-        row_type = table.getRowType()
-        field_specifications = [str(f) for f in row_type.getFieldNames()]
-        cc = cc.limit_to(field_specifications)
+        # If the 'TableScan' instance contains projected columns only retrieve those columns
+        # otherwise get all projected columns from the 'Projection' instance, which is contained
+        # in the 'RelDataType' instance, aka 'row_type'
+        if table_scan.containsProjections():
+            field_specifications = table_scan.getTableScanProjects()
+        else:
+            field_specifications = [str(f) for f in table.getRowType().getFieldNames()]
 
+        cc = cc.limit_to(field_specifications)
         cc = self.fix_column_to_row_type(cc, rel.getRowType())
         dc = DataContainer(df, cc)
         dc = self.fix_dtype_to_row_type(dc, rel.getRowType())

diff --git a/tests/integration/test_select.py b/tests/integration/test_select.py
@@ -222,3 +222,32 @@ def test_case_when_no_else(c):
     expected_df = pd.DataFrame({"C": [None, 1, 1, 1, None]})
 
     assert_eq(actual_df, expected_df)
+
+
+def test_singular_column_projection_simple(c):
+    df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
+    c.create_table("df", df)
+
+    wildcard_result = c.sql("SELECT * from df")
+    single_col_result = c.sql("SELECT b from df")
+
+    assert_eq(wildcard_result["b"], single_col_result["b"])
+
+
+@pytest.mark.parametrize(
+    "input_cols",
+    [
+        ["a"],
+        ["a", "b"],
+        ["a", "d"],
+        ["d", "a"],
+        ["a", "b", "d"],
+    ],
+)
+def test_multiple_column_projection(c, input_cols):
+    projection_list = ", ".join(input_cols)
+    result = c.sql(f"SELECT {projection_list} from parquet_ddf")
+
+    # There are 5 columns in the table, ensure only specified ones are read
+    assert_eq(len(result.columns), len(input_cols))
+    assert all(x in input_cols for x in result.columns)