You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: aggregate_query_sql.rs
    path of file: ./repos/arrow-datafusion/datafusion/core/benches
    
    the code of the file until where you have to start completion: // 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 data_utils::create_table_provider;
use datafusion::error::Result;
use datafusion::execution::context::SessionContext;
use parking_lot::Mutex;
use std::sync::Arc;
use tokio::runtime::Runtime;

fn query(ctx: Arc<Mutex<SessionContext>>, sql: &str) {
    let rt = Runtime::new().unwrap();
    let df = rt.block_on(ctx.lock().sql(sql)).unwrap();
    criterion::black_box(rt.block_on(df.collect()).unwrap());
}

fn create_context(
    partitions_len: usize,
    array_len: usize,
    batch_size: usize,
) -> Result<Arc<Mutex<SessionContext>>> {
    let ctx = SessionContext::new();
    let provider = create_table_provider(partitions_len, array_len, batch_size)?;
    ctx.register_table("t", provider)?;
    Ok(Arc::new(Mutex::new(ctx)))
}

fn criterion_benchmark(c: &mut Criterion) {
    let partitions_len = 8;
    let array_len = 32768 * 2; // 2^16
    let batch_size = 2048; // 2^11
    let ctx = create_context(partitions_len, array_len, batch_size).unwrap();

    c.bench_function("aggregate_query_no_group_by 15 12", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT MIN(f64), AVG(f64), COUNT(f64) \
         
    
fn criterion_benchmark(c: &mut Criterion) {
    let partitions_len = 8;
    let array_len = 32768 * 2; // 2^16
    let batch_size = 2048; // 2^11
    let ctx = create_context(partitions_len, array_len, batch_size).unwrap();

    c.bench_function("aggregate_query_no_group_by 15 12", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t",
            )
        })
    });

    c.bench_function("aggregate_query_no_group_by_min_max_f64", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT MIN(f64), MAX(f64) \
                 FROM t",
            )
        })
    });

    c.bench_function("aggregate_query_no_group_by_count_distinct_wide", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT COUNT(DISTINCT u64_wide) \
                 FROM t",
            )
        })
    });

    c.bench_function("aggregate_query_no_group_by_count_distinct_narrow", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT COUNT(DISTINCT u64_narrow) \
                 FROM t",
            )
        })
    });

    c.bench_function("aggregate_query_group_by", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT utf8, MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t GROUP BY utf8",
            )
        })
    });

    c.bench_function("aggregate_query_group_by_with_filter", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT utf8, MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t \
                 WHERE f32 > 10 AND f32 < 20 GROUP BY utf8",
            )
        })
    });

    c.bench_function("aggregate_query_group_by_u64 15 12", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT u64_narrow, MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t GROUP BY u64_narrow",
            )
        })
    });

    c.bench_function("aggregate_query_group_by_with_filter_u64 15 12", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT u64_narrow, MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t \
                 WHERE f32 > 10 AND f32 < 20 GROUP BY u64_narrow",
            )
        })
    });

    c.bench_function("aggregate_query_group_by_u64_multiple_keys", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT u64_wide, utf8, MIN(f64), AVG(f64), COUNT(f64) \
                 FROM t GROUP BY u64_wide, utf8",
            )
        })
    });

    c.bench_function("aggregate_query_approx_percentile_cont_on_u64", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT utf8, approx_percentile_cont(u64_wide, 0.5, 2500)  \
                 FROM t GROUP BY utf8",
            )
        })
    });

    c.bench_function("aggregate_query_approx_percentile_cont_on_f32", |b| {
        b.iter(|| {
            query(
                ctx.clone(),
                "SELECT utf8, approx_percentile_cont(f32, 0.5, 2500)  \
                 FROM t GROUP BY utf8",
            )
        })
    });
}