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| 19 | + |
| 20 | +# Comet Benchmarking on macOS |
| 21 | + |
| 22 | +This guide is for setting up TPC-H benchmarks locally on macOS using the 100 GB dataset. |
| 23 | + |
| 24 | +Note that running this benchmark on macOS is not ideal because we cannot force Spark or Comet to use performance |
| 25 | +cores rather than efficiency cores, and background processes are sharing these cores. Also, power and thermal |
| 26 | +management may throttle CPU cores. |
| 27 | + |
| 28 | +## Prerequisites |
| 29 | + |
| 30 | +Java and Rust must be installed locally. |
| 31 | + |
| 32 | +## Data Generation |
| 33 | + |
| 34 | +```shell |
| 35 | +cargo install tpchgen-rs |
| 36 | +tpchgen-cli -s 100 --format=parquet |
| 37 | +``` |
| 38 | + |
| 39 | +## Clone the DataFusion Benchmarks Repository |
| 40 | + |
| 41 | +```shell |
| 42 | +git clone https://github.com/apache/datafusion-benchmarks.git |
| 43 | +``` |
| 44 | + |
| 45 | +## Install Spark |
| 46 | + |
| 47 | +Install Spark |
| 48 | + |
| 49 | +```shell |
| 50 | +wget https://archive.apache.org/dist/spark/spark-3.5.4/spark-3.5.4-bin-hadoop3.tgz |
| 51 | +tar xzf spark-3.5.4-bin-hadoop3.tgz |
| 52 | +sudo mv spark-3.5.4-bin-hadoop3 /opt |
| 53 | +export SPARK_HOME=/opt/spark-3.5.4-bin-hadoop3/ |
| 54 | +mkdir /tmp/spark-events |
| 55 | +``` |
| 56 | + |
| 57 | + |
| 58 | +Start Spark in standalone mode: |
| 59 | + |
| 60 | +```shell |
| 61 | +$SPARK_HOME/sbin/start-master.sh |
| 62 | +``` |
| 63 | + |
| 64 | +Set `SPARK_MASTER` env var (host name will need to be edited): |
| 65 | + |
| 66 | +```shell |
| 67 | +export SPARK_MASTER=spark://Rustys-MacBook-Pro.local:7077 |
| 68 | +``` |
| 69 | + |
| 70 | + |
| 71 | +```shell |
| 72 | +$SPARK_HOME/sbin/start-worker.sh $SPARK_MASTER |
| 73 | +``` |
| 74 | + |
| 75 | + |
| 76 | +## Run Spark Benchmarks |
| 77 | + |
| 78 | +Run the following command (the `--data` parameter will need to be updated to point to your TPC-H data): |
| 79 | + |
| 80 | +```shell |
| 81 | +$SPARK_HOME/bin/spark-submit \ |
| 82 | + --master $SPARK_MASTER \ |
| 83 | + --conf spark.driver.memory=8G \ |
| 84 | + --conf spark.executor.instances=1 \ |
| 85 | + --conf spark.executor.cores=8 \ |
| 86 | + --conf spark.cores.max=8 \ |
| 87 | + --conf spark.executor.memory=16g \ |
| 88 | + --conf spark.memory.offHeap.enabled=true \ |
| 89 | + --conf spark.memory.offHeap.size=16g \ |
| 90 | + --conf spark.eventLog.enabled=true \ |
| 91 | + /path/to/datafusion-benchmarks/runners/datafusion-comet/tpcbench.py \ |
| 92 | + --name spark \ |
| 93 | + --benchmark tpch \ |
| 94 | + --data /Users/rusty/Data/tpch/sf100 \ |
| 95 | + --queries /path/to/datafusion-benchmarks/tpch/queries \ |
| 96 | + --output . \ |
| 97 | + --iterations 1 |
| 98 | +``` |
| 99 | + |
| 100 | +## Run Comet Benchmarks |
| 101 | + |
| 102 | +Build Comet from source, with `mimalloc` enabled. |
| 103 | + |
| 104 | +```shell |
| 105 | +make release COMET_FEATURES=mimalloc |
| 106 | +``` |
| 107 | + |
| 108 | +Set `COMET_JAR` to point to the location of the Comet jar file. |
| 109 | + |
| 110 | +```shell |
| 111 | +export COMET_JAR=`pwd`/spark/target/comet-spark-spark3.5_2.12-0.8.0-SNAPSHOT.jar |
| 112 | +``` |
| 113 | + |
| 114 | +Run the following command (the `--data` parameter will need to be updated to point to your S3 bucket): |
| 115 | + |
| 116 | +```shell |
| 117 | +$SPARK_HOME/bin/spark-submit \ |
| 118 | + --master $SPARK_MASTER \ |
| 119 | + --conf spark.driver.memory=8G \ |
| 120 | + --conf spark.executor.instances=1 \ |
| 121 | + --conf spark.executor.cores=8 \ |
| 122 | + --conf spark.cores.max=8 \ |
| 123 | + --conf spark.executor.memory=16g \ |
| 124 | + --conf spark.memory.offHeap.enabled=true \ |
| 125 | + --conf spark.memory.offHeap.size=16g \ |
| 126 | + --conf spark.eventLog.enabled=true \ |
| 127 | + --jars $COMET_JAR \ |
| 128 | + --driver-class-path $COMET_JAR \ |
| 129 | + --conf spark.driver.extraClassPath=$COMET_JAR \ |
| 130 | + --conf spark.executor.extraClassPath=$COMET_JAR \ |
| 131 | + --conf spark.plugins=org.apache.spark.CometPlugin \ |
| 132 | + --conf spark.shuffle.manager=org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager \ |
| 133 | + --conf spark.comet.enabled=true \ |
| 134 | + --conf spark.comet.exec.shuffle.enableFastEncoding=true \ |
| 135 | + --conf spark.comet.exec.shuffle.fallbackToColumnar=true \ |
| 136 | + --conf spark.comet.exec.replaceSortMergeJoin=true \ |
| 137 | + --conf spark.comet.cast.allowIncompatible=true \ |
| 138 | + /path/to/datafusion-benchmarks/runners/datafusion-comet/tpcbench.py \ |
| 139 | + --name comet \ |
| 140 | + --benchmark tpch \ |
| 141 | + --data /path/to/tpch-data/ \ |
| 142 | + --queries /path/to/datafusion-benchmarks//tpch/queries \ |
| 143 | + --output . \ |
| 144 | + --iterations 1 |
| 145 | +``` |
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