Report host stats on TPCH benchmarks

Cargo.toml

@@ -3,6 +3,7 @@ members = ["benchmarks"]
 
 [workspace.dependencies]
 datafusion = { version = "49.0.0" }
+datafusion-proto = { version = "49.0.0" }
 
 [package]
 name = "datafusion-distributed"
@@ -11,7 +12,7 @@ edition = "2021"
 
 [dependencies]
 datafusion = { workspace = true }
-datafusion-proto = { version = "49.0.0" }
+datafusion-proto = { workspace = true }
 arrow-flight = "55.2.0"
 async-trait = "0.1.88"
 tokio = { version = "1.46.1", features = ["full"] }

benchmarks/Cargo.toml

@@ -6,6 +6,7 @@ default-run = "dfbench"
 
 [dependencies]
 datafusion = { workspace = true }
+datafusion-proto = { workspace = true }
 datafusion-distributed = { path = "..", features = ["integration"] }
 tokio = { version = "1.46.1", features = ["full"] }
 parquet = { version = "55.2.0" }
@@ -15,14 +16,11 @@ serde = "1.0.219"
 serde_json = "1.0.141"
 env_logger = "0.11.8"
 async-trait = "0.1.88"
-datafusion-proto = { version = "49.0.0", optional = true }
 chrono = "0.4.41"
+futures = "0.3.31"
+dashmap = "6.1.0"
+prost = "0.13.5"
 
 [[bin]]
 name = "dfbench"
 path = "src/bin/dfbench.rs"
-
-[features]
-ci = [
-    "datafusion-proto"
-]

benchmarks/README.md

@@ -1,17 +1,81 @@
 # Distributed DataFusion Benchmarks
 
-### Generating tpch data
+### Generating TPCH data
 
 Generate TPCH data into the `data/` dir
 
 ```shell
 ./gen-tpch.sh
 ```
 
-### Running tpch benchmarks
+### Running TPCH benchmarks in single-node mode
 
-After generating the data with the command above:
+After generating the data with the command above, the benchmarks can be run with
 
 ```shell
-cargo run -p datafusion-distributed-benchmarks --release -- tpch --path benchmarks/data/tpch_sf1
+cargo run -p datafusion-distributed-benchmarks --release -- tpch
+```
+
+For preloading the TPCH data in-memory, the `-m` flag can be passed
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m
+```
+
+For running the benchmarks with using just a specific amount of physical threads:
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 3
+```
+
+### Running TPCH benchmarks in distributed mode
+
+Running the benchmarks in distributed mode implies:
+
+- running 1 or more workers in separate terminals
+- running the benchmarks in an additional terminal
+
+The workers can be spawned by passing the `--spawn <port>` flag, for example, for spawning 3 workers:
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch --spawn 8000
+```
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch --spawn 8001
+```
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch --spawn 8002
+```
+
+With the three workers running in separate terminals, the TPCH benchmarks can be run in distributed mode with:
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch --workers 8000,8001,8002
+```
+
+A good way of measuring the impact of distribution is to limit the physical threads each worker can use. For example,
+it's expected that running 8 workers with 2 physical threads each one (8 * 2 = 16 total) is faster than running in
+single-node with just 2 threads (1 * 3 = 2 total).
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8000 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8001 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8002 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8003 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8004 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8005 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8006 & 
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --spawn 8007 & 
+```
+
+```shell
+cargo run -p datafusion-distributed-benchmarks --release -- tpch -m --threads 2 --workers 8000,8001,8002,8003,8004,8005,8006,8007
+```
+
+The `run.sh` script already does this for you in a more ergonomic way:
+
+```shell
+WORKERS=8 run.sh --threads 2 -m
 ```

benchmarks/run.sh

@@ -0,0 +1,49 @@
+#!/usr/bin/env bash
+
+set -e
+
+WORKERS=${WORKERS:-8}
+
+# https://stackoverflow.com/questions/59895/how-do-i-get-the-directory-where-a-bash-script-is-located-from-within-the-script
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+
+if [ "$WORKERS" == "0" ]; then
+  cargo run -p datafusion-distributed-benchmarks --release -- tpch "$@"
+  exit
+fi
+
+cleanup() {
+  echo "Cleaning up processes..."
+  for i in $(seq 1 $((WORKERS))); do
+    kill "%$i"
+  done
+}
+
+wait_for_port() {
+  local port=$1
+  local timeout=30
+  local elapsed=0
+  while ! nc -z localhost "$port" 2>/dev/null; do
+    if [ "$elapsed" -ge "$timeout" ]; then
+      echo "Timeout waiting for port $port"
+      return 1
+    fi
+    sleep 0.1
+    elapsed=$((elapsed + 1))
+  done
+  echo "Port $port is ready"
+}
+
+cargo build -p datafusion-distributed-benchmarks --release
+
+trap cleanup EXIT INT TERM
+for i in $(seq 0 $((WORKERS-1))); do
+  "$SCRIPT_DIR"/../target/release/dfbench tpch --spawn $((8000+i)) "$@" &
+done
+
+echo "Waiting for worker ports to be ready..."
+for i in $(seq 0 $((WORKERS-1))); do
+  wait_for_port $((8000+i))
+done
+
+"$SCRIPT_DIR"/../target/release/dfbench tpch --workers $(seq -s, 8000 $((8000+WORKERS-1))) "$@"

benchmarks/src/bin/dfbench.rs

@@ -30,12 +30,14 @@ enum Options {
 }
 
 // Main benchmark runner entrypoint
-#[tokio::main]
-pub async fn main() -> Result<()> {
+pub fn main() -> Result<()> {
     env_logger::init();
 
     match Options::from_args() {
-        Options::Tpch(opt) => Box::pin(opt.run()).await,
-        Options::TpchConvert(opt) => opt.run().await,
+        Options::Tpch(opt) => opt.run(),
+        Options::TpchConvert(opt) => {
+            let rt = tokio::runtime::Runtime::new()?;
+            rt.block_on(async { opt.run().await })
+        }
     }
 }