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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2022/04/28 21:12:20 UTC

[GitHub] [arrow-datafusion] alamb commented on a diff in pull request #2369: Stop optimizing queries twice

alamb commented on code in PR #2369:
URL: https://github.com/apache/arrow-datafusion/pull/2369#discussion_r861314004


##########
datafusion/core/src/execution/context.rs:
##########
@@ -1887,26 +1885,6 @@ mod tests {
         Ok(())
     }
 
-    #[tokio::test]
-    async fn ctx_sql_should_optimize_plan() -> Result<()> {
-        let ctx = SessionContext::new();
-        let plan1 = ctx
-            .create_logical_plan("SELECT * FROM (SELECT 1) AS one WHERE TRUE AND TRUE")?;
-
-        let opt_plan1 = ctx.optimize(&plan1)?;
-
-        let plan2 = ctx
-            .sql("SELECT * FROM (SELECT 1) AS one WHERE TRUE AND TRUE")
-            .await?;
-
-        assert_eq!(

Review Comment:
   Maybe we could address the UX by making `to_logical_plan` call optimize?



##########
datafusion/core/benches/sql_planner.rs:
##########
@@ -0,0 +1,83 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+#[macro_use]
+extern crate criterion;
+extern crate arrow;
+extern crate datafusion;
+
+mod data_utils;
+use crate::criterion::Criterion;
+use arrow::datatypes::{DataType, Field, Schema};
+use datafusion::datasource::MemTable;
+use datafusion::error::Result;
+use datafusion::execution::context::SessionContext;
+use parking_lot::Mutex;
+use std::sync::Arc;
+use tokio::runtime::Runtime;
+
+fn plan(ctx: Arc<Mutex<SessionContext>>, sql: &str) {
+    let rt = Runtime::new().unwrap();
+    criterion::black_box(rt.block_on(ctx.lock().sql(sql)).unwrap());
+}
+
+/// Create schema representing a large table
+pub fn create_schema(column_prefix: &str) -> Schema {
+    let fields = (0..200)
+        .map(|i| Field::new(&format!("{}{}", column_prefix, i), DataType::Int32, true))
+        .collect();
+    Schema::new(fields)
+}
+
+pub fn create_table_provider(column_prefix: &str) -> Result<Arc<MemTable>> {
+    let schema = Arc::new(create_schema(column_prefix));
+    MemTable::try_new(schema, vec![]).map(Arc::new)
+}
+
+fn create_context() -> Result<Arc<Mutex<SessionContext>>> {
+    let ctx = SessionContext::new();
+    ctx.register_table("t1", create_table_provider("a")?)?;
+    ctx.register_table("t2", create_table_provider("b")?)?;
+    Ok(Arc::new(Mutex::new(ctx)))
+}
+
+fn criterion_benchmark(c: &mut Criterion) {
+    let ctx = create_context().unwrap();
+
+    c.bench_function("trivial join early columns", |b| {
+        b.iter(|| {
+            plan(
+                ctx.clone(),
+                "SELECT t1.a2, t2.b2  \
+                 FROM t1, t2 WHERE a1 = b1",
+            )
+        })
+    });
+
+    c.bench_function("trivial join late columns", |b| {
+        b.iter(|| {
+            plan(
+                ctx.clone(),
+                "SELECT t1.a99, t2.b99  \
+                 FROM t1, t2 WHERE a199 = b199",

Review Comment:
   maybe would be nice to add a `GROUP BY` as well :)
   
   It is great to start getting benchmarks on the planner 👍 



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