chore(deps): bump datafusion to the latest commit (#1967)

* bump deps

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix compile except pyo3 backend

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix promql-parser metric name matcher

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix tests

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix pyarrow convert

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix pyo3 compiling

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix tests

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix clippy

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* remove deadcode

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* update stream adapter display format

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

* fix physical optimizer rule

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

---------

Signed-off-by: Ruihang Xia <waynestxia@gmail.com>

src/table/src/table/adapter.rs

@@ -20,11 +20,11 @@ use common_query::physical_plan::DfPhysicalPlanAdapter;
 use common_query::DfPhysicalPlan;
 use common_recordbatch::OrderOption;
 use datafusion::arrow::datatypes::SchemaRef as DfSchemaRef;
-use datafusion::datasource::datasource::TableProviderFilterPushDown as DfTableProviderFilterPushDown;
 use datafusion::datasource::{TableProvider, TableType as DfTableType};
 use datafusion::error::Result as DfResult;
 use datafusion::execution::context::SessionState;
 use datafusion_expr::expr::Expr as DfExpr;
+use datafusion_expr::TableProviderFilterPushDown as DfTableProviderFilterPushDown;
 use datafusion_physical_expr::expressions::Column;
 use datafusion_physical_expr::PhysicalSortExpr;
 use store_api::storage::ScanRequest;

src/table/src/table/numbers.rs

@@ -20,7 +20,6 @@ use common_catalog::consts::{DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME, NUMBERS_
 use common_recordbatch::error::Result as RecordBatchResult;
 use common_recordbatch::{RecordBatch, RecordBatchStream, SendableRecordBatchStream};
 use datafusion::arrow::record_batch::RecordBatch as DfRecordBatch;
-use datafusion_common::from_slice::FromSlice;
 use datatypes::arrow::array::UInt32Array;
 use datatypes::data_type::ConcreteDataType;
 use datatypes::schema::{ColumnSchema, SchemaBuilder, SchemaRef};
@@ -147,7 +146,7 @@ impl Stream for NumbersStream {
         let numbers: Vec<u32> = (0..self.limit).collect();
         let batch = DfRecordBatch::try_new(
             self.schema.arrow_schema().clone(),
-            vec![Arc::new(UInt32Array::from_slice(numbers))],
+            vec![Arc::new(UInt32Array::from(numbers))],
         )
         .unwrap();
 

src/table/src/table/scan.rs

@@ -42,7 +42,7 @@ impl Debug for StreamScanAdapter {
     fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
         f.debug_struct("StreamScanAdapter")
             .field("stream", &"<SendableRecordBatchStream>")
-            .field("schema", &self.schema)
+            .field("schema", &self.schema.arrow_schema().fields)
             .finish()
     }
 }